1. Developmental Biology
  2. Genetics and Genomics

celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish

  1. Chunmei Li
  2. Carrie Barton
  3. Katrin Henke
  4. Jake Daane
  5. Stephen Treaster
  6. Joana Caetano-Lopes
  7. Robyn L Tanguay
  8. Matthew P Harris  Is a corresponding author
  1. Harvard Medical School, United States
  2. Boston Children’s Hospital, United States
  3. Oregon State University, Sinnhuber Aquatic Research Laboratory, United States
https://doi.org/10.7554/eLife.50523
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Cite this article
  1. Chunmei Li
  2. Carrie Barton
  3. Katrin Henke
  4. Jake Daane
  5. Stephen Treaster
  6. Joana Caetano-Lopes
  7. Robyn L Tanguay
  8. Matthew P Harris
(2020)
celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish
eLife 9:e50523.
https://doi.org/10.7554/eLife.50523
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Abstract

The use of genetics has been invaluable in defining the complex mechanisms of aging and longevity. Zebrafish, while a prominent model for vertebrate development, have not been used systematically to address questions of how and why we age. In a mutagenesis screen focusing on late developmental phenotypes, we identified a new mutant that displays aging phenotypes at young adult stages. We find that the phenotypes are due to loss-of-function in the non-classical cadherin celsr1a. The premature aging is not associated with increased cellular senescence or telomere length but is a result of a failure to maintain progenitor cell populations. We show that celsr1a is essential for maintenance of stem cell progenitors in late stages. Caloric restriction can ameliorate celsr1a aging phenotypes. These data suggest that celsr1a function helps to mediate stem cell maintenance during maturation and homeostasis of tissues and thus regulates the onset or expressivity of aging phenotypes.

Introduction

Aging can be viewed as the progressive degeneration of tissue and physiological homeostasis through time. The regulation of aging is complex as it integrates environment, lifestyle, and genetic architecture to maintain homeostasis. In contrast, aging has a clear phylogenetic basis both in the maximum lifespan as well as the expressivity of aging traits. Evolution has shaped the manifestation of aging in different animals as is reflected in shared characteristics and mechanisms even between humans and yeast (Bishop and Guarente, 2007; Kenyon, 2010; Vijg and Suh, 2005). These common foundations have allowed the use of experimental laboratory and natural populations to investigate how and why we age. Unbiased genetic screens in Baker’s yeast Saccharomyces, the nematode Caenorhabditis elegans, and the fruitfly Drosophila melanogaster have been instrumental in illuminating the genetic and biochemical aspects of aging of vertebrates. Similar unbiased approaches in the mouse have been limited, in part because of the restricted number of progeny produced as well as the fact that mice have relatively long lifespans, which restricts a systematic analysis of the mechanisms of aging from forward genetic approaches. Through the direct analysis of pathways identified in invertebrate and yeast models, however, the mouse has functioned as a key experimental system to identify shared aspects of aging and to understand modifiers of aging mechanisms through both environmental and genetic perturbations. Identification of alternative vertebrate models that can leverage the tools of forward genetics would be valuable to identify vertebrate specific regulators of this process.

Fish have long been important models in the study of aging and lifespan. In particular, guppies (Poecilia reticulata) have served as a natural and laboratory accessible model to address the causes and evolutionary shaping of senescence (Bronikowski and Promislow, 2005; Reznick et al., 2006; Reznick et al., 2004). Guppies, however, are not well suited for forward genetic approaches leading to the need for other models for use in the laboratory. Recently, the killifish, Nothobranchius furzeri, has become an often used research organism to understand the causes of vertebrate aging (Genade et al., 2005; Hu and Brunet, 2018). The utility of this fish model has been due in part to their short lifespan, but like other teleost fish laboratory models they share experimental accessibility, allowing study of gene function (Harel et al., 2015; Valenzano et al., 2011). Although within strain variation in longevity and aging phenotypes are being addressed through genetic mapping (Cui et al., 2019; Kirschner et al., 2012; Terzibasi et al., 2007), to date this model has not been used in broader forward genetic approaches that have been the strength of prior work in other species to uncover how aging and longevity is encoded and can vary.

Zebrafish and medaka have been workhorse models for developmental genetics, however the use of these species to address aging has been limited (Keller and Murtha, 2004). Through reverse genetic approaches, studies have shown that zebrafish share telomere-mediated senescent programs and phenotypes of aging similar to that seen in other animals (Anchelin et al., 2013; Carneiro et al., 2016; Henriques et al., 2013). The phenotypic spectrum includes loss of tissue homeostasis, reduction in fecundity and fertility, arched spine or kyphosis, and shortened lifespan. Specific lamin A variants associated with aging-like phenotypes in Hutchinson Gilford progeria have been specifically tested in zebrafish and show analogous progeric aging phenotypes to human patients (Koshimizu et al., 2011). Similar loss-of-function experiments on medaka have not been carried out, although telomerase has been shown to be associated with senescent phenotypes (Hatakeyama et al., 2008; Hatakeyama et al., 2016), suggesting that this fish can support genetic analysis of senescence as well. These papers set the foundation for use of small laboratory fishes to study the genetic regulation of aging as they demonstrate shared phenotypic outcomes of known genetic regulators of aging. However, unlike invertebrate genetic models of aging, zebrafish and medaka are not particularly short lived, limiting efficient analysis of lifespan-extending changes. Leveraging the ability to process large numbers of larval zebrafish, Kishi et al. performed one of the first unbiased screens in zebrafish to identify genes associated with senescence using expression of Senescence-associate beta-galactosidase (SA-β-gal) as a biomarker (Kishi et al., 2008). This study is unique in approach, though specifically targets defects in tissue integrity observed in early larvae. As such, it remains unclear if these mutants are representative of the loci regulating normal aging.

Here, we report on a novel zebrafish mutant identified through a forward genetic screen for adult phenotypes that exhibits traits in early adulthood that closely resemble those associated with normal aging. The mutant does not show evidence of increased age-associated cellular senescence, but rather is deficient in maintaining tissue integrity through support of stem cell maintenance and proliferation. The phenotype is caused by loss-of-function mutations in the non-classical cadherin, cadherin EGF LAG seven-pass G-type receptor 1a (celsr1a). We observe a general loss of proliferative phenotypes in tissues suggesting that the progeric defect seen in mutants is associated with loss of homeostasis in adult tissues. Following we find that the function of celsr1a is necessary for the expression of stem cell factors in different tissues. These results suggest that celsr1a is linked to stem cell maintenance and/or proliferation and that disruption of its function leads to premature aging phenotypes in zebrafish. Affirming the role of celsr1a in aging programs, we show that caloric restriction can alleviate reduced viability and tissue level pathologies associated with celsr1a loss, in part through upregulation of celsr1 paralogues. The identification of a zebrafish model for regulation of stem cell maintenance in aging opens up new avenues for aging research using zebrafish as a genetic tool for discovery.

Results

The identification of an adult zebrafish mutant with precocious geriatric phenotypes

In a large-scale screen for mutations affecting late development of the zebrafish, we isolated a class of mutants having altered scale patterning phenotypes and kyphosis in 10–12 week old adults (wpf, weeks post fertilization). These mutants displayed a broad collection of phenotypes that became more severe with age and resembled normal aging in zebrafish arising in our facilities in fish greater than 18 months of age (Figure 1). The mutant phenotype was detected in both male and female fish. We focused on one of these mutants, named fruehrentner (frnt), or ‘early retiree’ in German. The cumulative phenotypic effects from the frnt mutation lead to a progressive decrease in lifespan, with about half of mutant progeny dying before 9–10 months of age (Figure 1D). Fish living beyond this point showed progressive deterioration of their appearance and manifestation of sensorial neural defects causing them to swim erratically and in circles when presented with an acoustic stimulus (Suppl. Videos 1 and 2). Broadly these phenotypes resembled normal aging in wild-type zebrafish, however were apparent during early adult stages. Importantly, the frnt mutant exhibited no apparent outward morphological phenotypes as larvae or in juvenile stages. Instead, the observed phenotypes were acquired and only appear in early adult fish (Figure 2).

Figure 1
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Identification of a zebrafish mutant, fruehrentner (frnt), exhibiting late phenotypes that resemble normal aging.

(A–C) Aging phenotypes of young frnt mutant and old wild-type (wt) zebrafish. (B) Appearance of adult frnt mutant showing ruffled appearance and kyphosis at young adult stages closely resembles that of old fish (C) compared to a (A) wild-type fish of similar age. (D) frnt shows progressive loss of survival compared with wild-type fish.

Figure 2 with 1 supplement see all
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frnt causes acquired deficiencies resembling normal aging.

(A–F) Direct comparison of frnt with young adult, (A, D) and naturally aging wild-type zebrafish (2.5 years; (B, E). Similar degenerative pathologies are shared between aged zebrafish (B, E) and 8 month-old mutants (C, F), such as fibrosis and sarcopenia of slow muscle fibers (B, C), and thinning skin (E, F). (G–I) Characterization of slow muscle phenotype in frnt mutants. (G) Expression analysis of stem cell marker paired-box 7a (pax7a, n = 6) and (H) cdnk1a/p21 control in slow muscle from 7 month old homozygous (n = 6) and heterozygous mutant fish (n = 9). (I) Adult frnt has smaller fiber size in slow muscle compared to age-matched wild type and sibling fish (3 month (n = 5) and 9 month old (n = 9), but not as juvenile fish (3 week old, n = 3). (J–L) Changes in epidermal phenotype in frnt mutants. (J) Expression of the stem cell marker delta-Np63 and (K) control claudin-b in epidermal tissues from 7 month old homozygous (n = 12) and heterozygous (n = 5–6) frnt fish. (L) Count of DAPI positive basal cells in the integumentary epithelium in 3 (n = 3–4) and 9 month old (n = 5) frnt fish. (M–N). DAPI stained epidermal nuclei in wild-type (M) and frnt (N) mutant epidermis. Error represented as mean +/- standard deviation. ****p<0.0001, *p<0.05.

Video 1
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Altered swimming behavior and response to acoustic stimuli in celsr1a mutants.

celsr1a mutants (pigmented) and wild-type albino fish respond to periodic tank tap as an acoustic stimulus.

Video 2
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Set up for behavioral analysis of celsr1a mutant fish after raising in diets of different caloric content.

Histological analysis of adult frnt mutant zebrafish and wild-type controls showed clear defects in homeostasis of several tissues (Figure 2). In zebrafish, muscle fiber type is segregated in the trunk into a peripheral domain of slow muscle overlying fast muscle fibers (Figure 2A, Figure 2—figure supplement 1A–B). In frnt, the fibers of the slow muscle are severely affected and have smaller fiber size and hyperproliferation of mitochondria (Figure 2C, Figure 2—figure supplement 1C–D), many of which are degenerating (Figure 2—figure supplement 1E–G). Fast muscle fibers were not obviously affected in the mutant (data not shown). Histological analysis of aged wild-type fish shows comparable thinning of slow muscle fiber thickness as well as fibrosis of the surrounding tissue (Figure 2B). The frnt mutant also shows striking defects in the structure of the epidermis (Figure 2D–F). The epidermis of the adult zebrafish integument is a stratified epithelium with prominent cuboidal basal cells (Figure 2D). frnt mutants of comparable age show a drastic thinning of the epidermis with fewer basal cells and lengthened squamous cells overlying a thickened dermis (Figure 2F). A similar epidermal thinning and cellular structure is observed in old wild-type zebrafish (>2.5 years; Figure 2E). These results suggest that the frnt mutant affects tissues with high metabolic activity, such as the skin and slow muscle, and is reminiscent of phenotypes observed during normal aging in zebrafish.

The histological characteristics, such as sarcopenia and diminished basal cells of the epidermis, suggest that progenitor cell deficiencies may underlie these pathologies. Supporting this hypothesis, we found that expression of pax7a, a marker for muscle satellite cells (Berberoglu et al., 2017; Seale et al., 2000), was decreased in frnt slow muscle whereas analysis of a more general cell proliferation marker, cdnk1a/p21, did not show significant changes (Figure 2G,H). Following, we also assessed expression of ΔNp63, which marks potential stem cells of the skin (Guzman et al., 2013; Keyes et al., 2005), as well as the epidermal tight junction marker claudin-b as a control in epidermis. We observed a similar decrease in expression in the frnt mutant specifically for ΔNp63 but not claudin-b (Figure 2J,K). Thus, the acquired senescent phenotypes observed in the frnt mutant coincide with a decrease in progenitor cell markers in these tissues.

The effect of frnt manifests late in development

We extended our analysis of the frnt mutant phenotype to ask when in development we were able to detect the onset of phenotypes observed in mature fish. Through histological analysis, we measured the development and maintenance of slow muscle through juvenile development. At 3 weeks of age, both frnt mutants and siblings have comparable slow muscle fiber diameter (Figure 2I). However, at 3 and 9 months of development, fiber size in frnt mutants is substantially smaller than in their wild-type siblings. This size difference is due to the decreased capacity of fibers to increase in size after 3 weeks of development (Figure 2I). Additionally, we used histological analysis of DAPI stained sections to identify changes in basal cell number in the developing zebrafish epidermis (Figure 2L–N). At 3 months of age there is little difference in basal cell number between frnt mutant and wild-type sibling controls. However, at 9 months frnt is deficient in the number of basal cells compared with age matched controls (Figure 2L). Thus, similar to slow muscle fibers, the frnt phenotype in skin is associated with a failure to increase in cell number. These results suggest that the frnt phenotypes manifest during late development, increase in severity with progressive age and affect proliferative/growth potential of maturing tissues.

The frnt phenotype does not stem from increased senescence

Cellular senescence is thought to be one factor regulating homeostasis and onset of aging within tissues (Collado et al., 2007). Hallmark phenotypes of senescence are loss of telomere length as well as activity of lysosomal β -galactosidase, commonly referred to as senescence-associated β- galactosidase (SA-β-gal) (Lee et al., 2006; Dimri et al., 1995). Telomeres act as essential regulators of genomic stability that allow for fidelity in genome replication. In each replication of chromosomes, telomere length is maintained by a specialized molecular complex, shelterin, through action of the tert gene product.

To understand if senescence was an underlying basis of the frnt phenotype, we first looked at total telomere length in mutant zebrafish tissue by Southern blot (Figure 3). For a positive control, we analyzed telomere length in first generation tert homozygous mutants, as these mutants have been shown to exhibit late age-related phenotypes and accumulation of senescent biomarkers (Anchelin et al., 2013; Henriques et al., 2013). Southern blots from 1 year-old tert mutant tissues show a distinct reduction of average telomere length. In contrast, age matched frnt mutants do not show an appreciable change compared to wild-type fish (Figure 3A). We further analyzed the activity of SA-β-gal in histological sections of frnt, tert mutants and age-matched wild-type tissues as a measure of senescence. Compared to heterozygous siblings, tert homozygous mutants show considerable activity of SA-β-gal (Figure 3B,C). In contrast, we saw no discernable difference between frnt homozygous mutants and wild-type controls (Figure 3D,E). Thus, there is little evidence that the frnt phenotype is due to activated senescence programs typically observed in tert deficiencies.

Figure 3
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frnt mutation does not affect senescence biomarkers.

(A) Southern blot of genomic DNA of zebrafish telomerase reverse transcriptase (tert) and frnt mutants probed for telomere repeats. Data shows no effect of the mutation on telomere length in the frnt mutant compared with significant decrease of intensity and size of telomere in tert deficient fish. Arrow points to upper size expected for zebrafish telomeres; n = 4 for each group. (B–E). Senescence-associated beta-galactosidase (SA-βgal) staining (blue) of frnt mutants. (B, C) Positive signal of senescence as shown in 5 month old tert mutants (C), n = 3) compared with their heterozygous controls (B), n = 3). Comparably staged wild-type and frnt adults (E), n = 4) show resting levels of SA-βgal signal. Samples were counterstained with nuclear red.

Identification of the genetic cause of frnt aging phenotypes

To identify the genetic locus affected in the frnt mutant, we used whole genome sequencing and mapping based on homozygosity-by-descent (Bowen et al., 2012). Initial mapping showed tight linkage to chromosome 4 (Figure 4A). Efforts to refine the map interval using polymorphic markers was limited as the linked region fell within a large chromosomal interval showing low heterozygosity and limited recombination (Figure 4C,D). As we had genomic sequence of the whole interval, we were able to define several missense mutations as potential candidate mutations for causing the frnt mutant phenotype, however, there were too many mutations to functionally address. Thus, we performed a non-complementation screen to identify further alleles of frnt to define the affected gene. First, using N-ethyl-N-nitrosourea (ENU) induced mutagenesis of wild-type zebrafish, we identified a mutant (mh36) within progeny from crosses to frnt homozygous fish that failed to complement frnt. Sequencing the exome of homozygous mh36 led to the identification of a nonsense mutation (C1693X) in the gene celsr1a within the linked interval of frnt (Figure 4E). As chemical mutagenesis can lead to many mutations and the mapping interval was large, we extended this approach by making targeted deletions using CRISPR/Cas9 mediated gene editing in the frnt heterozygous background. We were successful in identifying mutants that exhibited the frnt aging phenotype having insertion/deletions predicted to lead to premature truncation of the celsr1a gene product (Figure 4F). Following these non-complementation approaches, we reassessed our mapping in the original frnt mutant. In depth analysis of the whole genome sequence data of frnt mutants at the celsr1a gene locus uncovered a unique transposon insertion of approximately 3.5 kb into exon 1 of the celsr1a (Figure 4G). The effect of this insertion is predicted to lead to an early truncation of the protein. The identification of a transposon as a cause of the frnt phenotype, suggested that the allele was present in the background founders used in the screen. Supporting this conclusion, we found that several isolated families having this phenotype were derived from the same original male founders. Thus, through our mapping of frnt and non-complementation analysis, we have identified that the frnt phenotype is due to a disruption of celsr1a function.

Figure 4
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Identification of altered celsr1a function underlying the frnt phenotype.

(A) Mapping by homozygosity-by-descent indicates linkage of frnt to chromosome 4. (B) Mapping score across chromosome 4. (C) Analysis of heterogeneity across chromosome four showing a broad region of homogeneity in the population indicating linkage. (D) Fine mapping of frnt showing limited recombination and resolution of the map position along chromosome 4; white bar, area showing linkage; red hashmark, position of celsr1a; top, position (megabase, Mb) on chromosome 4, zv9 assembly (https://ensembl.org); bottom number of recombinants per meiosis (rec/me) scored. (E) Chemical mutagenesis loss-of-complementation screen to identify the gene mutation underlying the frnt phenotype. Exome sequencing of identified founders having the frnt phenotype (frnt/*), identified mutations in the celsr1a gene within the mapped interval (mh36, C1693X). (F) Identified deletions/insertions within celsr1a generated through CRISPR/Cas9 genome editing that fail to complement frnt. Recovered sequences from F1 founders; guideRNA position demarcated with overlain red bar. Of the recovered lines, allele mh104_P2027A-fs11X was retained G) Identification of transposon insertion within celsr1a in frnt. H) Schematic of celsr1a and position of identified mutations.

celsr1a is an atypical cadherin of the flamingo family of cadherins. Among vertebrates, there are three ancestral orthologues that are shared, Celsr1-3. Fish have two orthologues of celsr1, celsr1a and celsr1b (Formstone and Mason, 2005) stemming from a whole genome duplication shared among teleosts. Celsr1a is a large membrane bound protein extending greater than 3000 amino acids in length. The mutations identified all lie in the N-terminal extracellular domain. Given that the mutations cause premature truncations or frameshifts upstream of the first transmembrane domain (Figure 4H), we predict that the frnt phenotype is due to loss of celsr1a function. The identified alleles all have comparable phenotypes and fail to complement each other, supporting the identified mutants as celsr1a nulls.

celsr1a expression wanes with age

Analysis by whole mount in situ hybridization has previously shown celsr1a to be broadly expressed during gastrulation and early larval development (Carreira-Barbosa et al., 2009; Formstone and Mason, 2005; Harty et al., 2015) (https://zfin.org). To assess differential expression of celsr1a during development, we used CRISPR/Cas9-mediated homology directed repair to knock-in a green florescent protein (GFP) coding sequence into the endogenous celsr1a locus. We isolated an expressing line with insertion of GFP 114 nucleotides upstream of the translation initiation site in the 5’ UTR of celsr1a (Figure 5A). As the insertion allele fails to complement frnt, we predict that the allele is disruptive of normal celsr1a regulation and function. The identified line, celsr1aGFP, recapitulates early expression seen by whole mount in situ (1dpf, Figure 5B–C), and strongly labels the eye, the central nervous system, the lateral line, the mesonephros and the intestine in young larvae (4dpf, Figure 5D). On close inspection, celsr1aGFP is expressed, albeit at lower levels, in both epidermis and slow muscle (Figure 5E–F,H). These tissues show strong pathologies in the mutants (Figure 2). Notably, only select cells are labeled in the early epidermis, suggesting differential expression of celsr1a within this tissue (Figure 5E). At 12dpf, celsr1a expression remains prominent in slow muscle fibers, (Figure 5H and data not shown) and in the intestinal epithelium (Figure 5I,J). Similar to findings by Hardy et al, (Harty et al., 2015), we find that celsr1a expression wanes in late development. Expression of celsr1a in adults is retained primarily in neuromasts and with a low expression level throughout other tissues (Figure 5K–M). However, signal was retained in specific cells in different tissues as shown in localized cells in the intestine (Figure 5L,M).

Figure 5
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celsr1a expression during development and as a function of age in adults.

(A) Strategy for GFP insertion at the celsr1a endogenous locus by homology directed repair. (B) Whole mount in situ analysis of celsr1a expression in early development (1dpf). (C) Expression of celsr1a in central nervous system (CNS), peripheral nervous system (PNS), and gut in the celsr1aGFP/+ transgenic line. (D–J) Expression of celsr1aGFP/+ transgene in larval, and juvenile zebrafish showing progressive restriction and localization to specific cell types and tissues. all, anterior lateral line; epi, epidermal cells; int, intestine; mph, metanephros; nm, neuromast; sl m, slow muscle; ot, otolith. (K–M) Restricted expression of celsr1aGFP in adult tissues. (K) Expression of celsr1aGFP in adult skin and neuromasts covering the lateral surface. (L–M) Expression of celsr1a is shown in anterior and posterior regions of the adult intestine.

celsr1a is required for polarity of integumentary appendages

Celsr1 is a key component of planar cell polarity (PCP). In concert with Frizzled, Van Gogh (Vang), and non-canonical Wnt signaling factors, Celsr1 regulates cell asymmetry and developmental signaling pathways (Goffinet and Tissir, 2017; Tissir and Goffinet, 2013). The role for the other orthologues, Celsr2 and 3 is unclear. A Celsr1-deficient mouse has been used to study the role of PCP in development. Homozygous Celsr1 mice show pelage phenotypes with misaligned hair follicles and the appearance of whirls (Devenport and Fuchs, 2008; Ravni et al., 2009). A similar phenotype is also seen in the patterned arrays of tongue papillae in Celsr1 deficient mice (Wang et al., 2016). Both phenotypes are also observed in mice with alterations in Vang2 gene function (Devenport and Fuchs, 2008; Wang et al., 2016) and are considered reliable readouts of PCP signaling in adult mice.

Analogous structures to hair of mammals in zebrafish are scales. In contrast to hair, which is primarily an ectodermal derivative, scales in fishes are primarily mesodermal, comprising components of the dermal skeleton. However, scale development is dependent on the formation of an ectodermal placode, a structure homologous to the placodes necessary for other integumentary structures such as hair and feathers (Harris et al., 2008). Thus, early aspects of formation and patterning are conserved between divergent structures of scales and hair, and it has recently been shown that further downstream pattering is similar as well (Aman et al., 2018). Scales form ordered arrays of overlapping surface skeletal elements across the body (Figure 6A). Within each scale there is an internal polarity, biasing the growth to the caudal aspect of the scale from an initial osteogenic focus (Figure 6C); this polarized accretionary growth leads to the formation of overlapping arrays of scales along the flank of the fish. Iwasaki et al. (2018) have demonstrated that scale patterning is sensitive to PCP signaling in the ectoderm, resulting in formation of scale ‘whirls’ comparable to those seen in mice with altered Celsr1. We investigated scale formation in the zebrafish as biomarkers of altered PCP signaling in frnt mutants. At the earliest timepoints of scale development analyzed, frnt mutants had obvious scale patterning defects (~8 wpf). These defects are maintained in adults showing spiraling patterns of scales on the flank (Figure 6B). Furthermore, individual scales in frnt mutants show radial patterning in stark contrast with the polarized growth of scales from wild-type individuals (Figure 6C–E). Thus, alteration in celsr1a in zebrafish affects the patterning of structures analogous to hair follicles affected in the Celsr1 mouse mutant. These phenotypes are consistent with a role of celsr1a in PCP signaling during zebrafish development.

Figure 6
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Loss of celsr1a leads to altered polarity phenotypes in the zebrafish integument.

(A–B) Alizarin red stained adult wild-type zebrafish showing pattern of scales on the flank. (A). Wild-type fish showing normal, regularly spaced pattern of scales whereas, in (B) frnt mutants show altered patterning of scales across the flank, creating swirls. (C) Wild-type scale showing internal polarity of growth along the rostrocaudal axis (bottom to top). (D) frnt scale showing radial pattern of growth rings (annuli), without the internal polarity normally observed in wild-type. (E) Quantification of polarity in wild-type sibling and frnt scales (n = 6 fish,>25 scales each side) as indicated by the ratio of the center-to-base normalized by the diameter for each scale (C, D). Data presented as mean ± standard deviation; ****p<0.001.

celsr1a is required for proliferative capacity and maintenance of intestinal progenitor cells

One of the more consistent phenotypes in aging is loss of tissue organization and homeostasis as a function of age. Our histological analyses suggest that several tissues in celsr1a/frnt mutants are diminished associated with decreased expression of stem cell markers (Figure 2). The intestinal epithelium has served as a fundamental model of how stem cells within a tissue are specified and maintained. However, only few papers have detailed differentiation and stem cell biology and differentiation in the intestine in fishes (Aghaallaei et al., 2016; Crosnier et al., 2005; Li et al., 2019b; Lickwar et al., 2017; Wallace et al., 2005; Zhao and Pack, 2017). To investigate the role of celsr1a in maintaining tissue homeostasis and progenitor populations in adult tissues, we analyzed changes in the intestinal epithelium in the frnt mutant. Consistent with our findings in other tissues in the mutant, analysis of the histological pathology of the intestine of frnt demonstrates a significant decrease in epithelial thickness and a reduction of the anterior gut circumference (Figure 7—figure supplement 1A–D).

We find that the mutant phenotype in the intestine is associated with drastic changes in the proliferative capacity of the intestinal epithelium. After short term Bromodeoxyuridine (BrdU) labeling, adult frnt mutants showed negligible BrdU incorporation in the intestine compared to age matched controls (Figure 7A–D, Figure 7—figure supplement 2A). Identified BrdU positive cells were found localized near the base of rugae. Consistent with these findings we show reduction of phospho-histone H3 labeling of mitotic cells in rugae (Figure 7—figure supplement 2D). BrdU incorporation in intestinal epithelium of larvae in which celsr1a cells are marked with GFP (celsr1aGFP) shows restricted incorporation of BrdU in celsr1a+ cells during growth (Figure 7J–K). This suggests that celsr1a-expressing cells in the larval intestine are not actively cycling. In an effort to address maintenance of progenitor pools in the intestinal epithelium, whole mount in situ analysis of potential stem cell markers, such as sex determining region Y-box 2 (sox2) (Kuzmichev et al., 2012; Que et al., 2007; Chen et al., 2015; Figure 7E,F) and olfactomedin 4 (olfm4) (Figure 7G–I; van der Flier et al., 2009; Igarashi and Guarente, 2016), were performed in the adult intestine of wild-type and frnt mutant fish. Supporting our expression analysis in skin and slow muscle, we detected a strong reduction in sox2 and olfm4 positive cells in celsr1a mutants, suggesting that celsr1a is required for normal maintenance of progenitor cells in the intestinal epithelium.

Figure 7 with 2 supplements see all
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celsr1a is essential for activity and maintenance of progenitor cells.

(A–D) Analysis of proliferative capacity of the adult intestine in celsr1a mutants and age matched wild-type fish (pulse injection and incorporation after 4 hr (red), nuclei counterstained by DAPI. (A, B) Low power view of comparable posterior regions of intestine of wild-type (A) and age and size matched frnt mutants (B). (C, D) Close up of intestinal rugae showing cells incorporating BrdU. (E–H), in situ hybridization of expression of sex-determining region Y-box 2 (sox2) (E, F) and olfactomedin 4 (olfm4). (G, H) genese in adult intestinal epithelia of wild-type (E, G) and celsr1a mutant (F, H) zebrafish. (I) Quantitation of changes in the number of olfm4+ cells observed in mutants; data presented as mean +/- standard deviation, *p<0.05, n = 5 (wt sibling), n = 7 (frnt) (J–K) Proliferative cells (24 hr after BrdU pulse, red) in comparison to celsr1a expression (green, yellow arrowhead) in larval developing intestine at 5dpf in (J) ceslr1aGFP heterozytotes and (K) ceslr1aGFP mutants; DAPI, blue. Insets J’ and J’’ and K’ and K’’are separate channels showing celsr1a expression and Brdu detection, respectively in the same tisse.

One hallmark of resting stem cells is their slow cycling during normal tissue homeostasis. To further determine the effect of loss of celsr1a function on proliferative capacity, we assessed the retention of BrdU at extended chase periods to permit detection of slower cycling cells. Analysis of single nucleoside dosing events over 48 hr indicated a progressive reduction of differences between mutants and siblings in the cells retaining or incorporating BrdU label in the intestine (Figure 7—figure supplement 2). These data suggest that existing progenitor populations are retained in the celsr1a mutant and are able to proliferate at these late stages in a limited capacity.

celsr1aGFP is expressed in a subset of cells in the developing intestinal epithelium (Figure 5) resembling enteroendocrine cell (EEC) morphology. Neuronal differentiation 1 (neurod1), is a transcription factor associated with notch signaling, which is a late marker for EECs in the intestine of mice and zebrafish (Li et al., 2011; Lickwar et al., 2017). Using the transgenic line, Tg(neurod1:TagRFP), we found that in early development, the transgene labels a subset of celsr1aGFP positive cells (Figure 8A–C), suggesting that the function of celsr1a may predominate in EECs. At this stage a number of celsr1a-expressing cells were identified without neurod1 expression, suggesting that celsr1a represents an earlier stage in their specification. The larval intestines of the mutant are markedly thinner however retain a complement of celsr1a-expressing cells (Figure 8A–C). Quantitation of overlap was not feasible at early stages due to low signal intensity. Analysis of adult intestines show significant co-expression of celsr1aGFP+and Tg(neurod1:TagRFP)+ cells however, retaining individually expressed cell populations (Figure 8D–G).

Figure 8
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Colocalization of celsr1a and neurod1 positive sensory enteroendocrine cells during development.

(A–C) Co-expression of celsr1a (celsr1aGFP/+) and neurod1 (Tg(neurod1:TagRFP)) in four dpf intestine; asterisk highights celsr1a+ without neurod1 expression; all pictures luminal side placed on top. (C) Overlay, shows predominant co-localization early in this cell population. Expression was seen in all larvae analyzed (n = 6). (D–E) Expression of Tg(celsr1GFP) and neurod1 in 5 month old adult zebrafish intestine. Area pictured is from the middle intestinal region. (F) Quantitation of expression and overlap between markers (n = 6, 1–4 pictures/fish/region). (G) Close up of overlay showing distinct marked cell populations.

Effect of caloric restriction on celsr1a phenotypes

The phenotypes we observed in celsr1a deficient animals resemble the anatomical and behavioral aspects of normal aging in wild-type zebrafish. To assess the role of celsr1a in mediating aging processes, we wanted to analyze how alteration in mechanisms previously related with progression of aging phenotypes would affect celsr1a mutant phenotypes. Caloric and dietary restriction are two commonly used strategies that have been shown across animals to have a consistent protective effect on the manifestation of aging phenotypes (Fontana and Partridge, 2015; Speakman and Mitchell, 2011). The regulation of these effects on reducing aging phenotypes is thought to be in part through the action of the Sirtuin family of acetyltransferases (Guarente, 2013), mTOR (Blagosklonny, 2010) and Insulin receptor/Foxo signaling (Kim et al., 2015; Mouchiroud et al., 2013). In fish models, the effects of dietary restriction on aging and age-related pathologies have been mainly tested in zebrafish, in which most studies use overall dietary restriction as means of nutritional regulation (Adams and Kafaligonul, 2018; Arslan-Ergul et al., 2016; Novak et al., 2005). Such treatment regimens have shown changes in age-related neurological and behavioral phenotypes (Adams and Kafaligonul, 2018) and can have long term impacts on maintenance of weight and health of the fish (Arslan-Ergul et al., 2016). Caloric restriction (CR) regimens have been tested in zebrafish, however the outcomes on age-related phenotypes have not been reported (Robison et al., 2008). Although dietary restriction has the potential to alleviate age-related phenotypes, the extent by which this regulation operates in fishes remains an open question.

We set out to test if modulation of caloric restriction would attenuate the pathology observed in celsr1a mutant fish. Simply restricting access to nutrition through a short-term limited feeding regimen (e.g Arslan-Ergul et al., 2016) led to decreased fish vitality and viability and was not continued. In order to avoid malnutrition, we designed unique feeds that limit the total caloric content of the food without reducing the lipid and vitamins/minerals (Supplementary file 1A). Observations showed that adult fish actively fed on all experimental feeds. Two separate replicate experiments were set up. In each, an equal number of young adult fish of particular genotypes were grouped into common feeding populations. In the first experiment, wild-type fish were compared to homozygous mutants (n = 17), whereas in the second experiment frnt siblings (i.e. +/+ and +/-) were compared (n = 30). Over the course of the experiment, there was no significant reduction in weight in the different feeding groups, however there was a marked lack of an increase in body mass in the 50% restricted feeding group (Figure 9—figure supplement 1).

Zebrafish fed with control feed followed the general expectation for the zebrafish lifespan, with greater than 70% survival over a 5 month period (Figure 9A). Frnt sibling controls (wild-type and heterozygous mutants) however, provided with the same feed showed a considerable shift in viability (Figure 9B), suggesting a potential dominant effect of celsr1a on long-term viability. In both experiments, 25% reduction in calories did not show any significant effect on viability in wild-type, sibling controls or frnt mutants (Figure 9A,B). However, in 50% calorie reduced groups, both homozygous celsr1a mutants as well as control groups showed a significant shift in lifespan (Figure 9A,B). As viability is a broad assessment of potential changes in aging, we looked closely at changes in phenotypes associated with loss of celsr1a function in mutants fed different diets. As feeding regimens were initiated in 3 month-old fish sorted by their integumentary phenotypes, scale phenotypes were found in all treated fish as they were already present at the start of feeding. Therefore, this phenotype cannot be used to assess response to caloric restriction (CR). We used behavior as an overt measure of change in aging-related degenerative phenotypes (Figure 9C, Suppl. Videos 1 and 2). We found that 50% reduced caloric intake results in a considerable reduction in the circling behavior and sharp turns observed in celsr1a mutants (Figure 9D–E), suggesting that the treatment halted or ameliorated this phenotype in the mutant. We further investigated the changes in smooth muscle and intestinal phenotypes observed in the celsr1a mutant in response to caloric restriction. A 50% restriction in calories led to increased slow muscle fiber area in both sibling and mutant groups (Figure 9I) even extending beyond adult wild-type sizes. Calorie restricted fish show a parallel shift in sirt1 expression in the muscle (Figure 9J) as seen in the brain (Figure 9F), although non-significant due to variability across samples. 50%CR treatment also leads to significant shifts in differentiation of the enterocytes of the posterior intestine, leading to more goblet cell morphology (Figure 9K).

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Caloric restriction increases longevity and alleviates pathology of celsr1a/frnt mutants.

(A–C) Effects of specialized diets, having no restriction (control diet (CD), black), 25% (blue) or 50% (red) calorie restriction (CR), on viability of zebrafish; solid line, frnt mutant; dotted line, control fish. (A–B) The effect of the specific dietary reduction in calories on survival in frnt; 50%CR lead to significant increase in survival of mutant and siblings compared to control and 25%CR; differences between 50%CR diets for both mutant and siblings are all significant (p<0.001) compared to control and 25%CR by Mantel-Cox and Geha-Brelow-Wilcoxon tests. (C–E) Caloric restriction ameliorates aberrant swimming behavior in celsr1a mutants. (C) High frequency turning behavior of mutants in tank (arrows). Quantitation of change in direction (D) and erratic turns (E) in treatment groups with different levels of caloric reduction. (F–H) Expression of genes associated with senescence and lifespan in brain tissue of wild type and celsr1a mutants in different dietary treatments: (F) sirt1; (G) sirt6 and (H) cdnk1a/p21; data represented as mean ± standard deviation. (I–J) Effect of caloric restriction on slow muscle fiber area in wild-type and celsr1a mutant adult zebrafish. (I) Slow muscle fiber area is potentiated in response to 50%CR in both wild-type and mutants. (J) sirt1 expression in slow muscle from different diet treatment groups. (K–M), Effect of caloric restriction on intestinal differentiation phenotypes of wild-type celsr1a mutant adults. (K) goblet cell number quantitated from different regional areas of the gut in CD and 50%CR treatment groups. Data presented as mean + /- standard deviation, *p<0.05, paired t-test, n = 4 (frnt), n = 3 (sibs). (L) Goblet cell morphology in CD and 50%CR treated mutant posterior intestine.

As previously noted, celsr1 in the zebrafish has two paralogues, celsr1a and celsr1b as well as two orthologues, celsr2 and celsr3. Intriguingly, in both siblings and homozygous celsr1a mutant fish, caloric restriction led to an increase in celsr1b expression. A significant increase in expression of celsr2 or celsr3 orthologues can be seen in siblings treated with 50% CR feed. Paralleling these data, in the surviving frnt mutants an upward trend in celsr2 or celsr3 gene expression is also observed (Figure 9—figure supplement 2). These data suggest that in tandem with an increase in metabolic regulators of aging such as sirt1 and cdnk1a/p21 (Figure 9 F-H), caloric restriction causes an upregulation in celsr1b even in siblings that may contribute to the observed rescue.

Although tissue integrity, behavior, and lifespan significantly improved with 50% reduction of calorie intake, overall morphology of the frnt mutant survivors remained generally unaffected (Figure 9—figure supplement 3).

Discussion

Zebrafish have served as a highly efficient laboratory model to perform unbiased screening for the genetic regulation of embryonic and post-embryonic development. However, its use towards investigating the regulation of aging has been limited to known genetic factors identified in the mouse and modeled by reverse genetic approaches. Here, using a forward genetic approach in the zebrafish centering on phenotypes manifesting in the adult, we isolated a novel mutant class which exhibits a collection of phenotypes that together closely resemble natural aging.

In a direct comparison between frnt mutants with older fish showing outward appearance of senescence, we demonstrate the similarity of the mutant phenotype with normal aging pathologies in fishes. All the phenotypes noted in frnt are shared with other vertebrates and are seen in normal and accelerated aging in both mice and humans. Cloning of the zebrafish mutants revealed that the progressive loss of homeostasis was due to mutation in celsr1a, a member of the flamingo family of cadherins. Expression of celsr1a is found within specific tissues in developing fish and diminishes as fish mature. Thus, the loss of celsr1a function in the frnt mutant may reflect conditions occurring at later stages of adult development and homeostasis, leading to the early appearance of aging-like phenotypes.

Conservation of celsr1 function in vertebrates

Our identification of celsr1a giving rise to an adult aging phenotype in the zebrafish is surprising as loss-of-function mouse models and humans carrying mutations in Celsr1 have a high prevalence of neural tube closure defects (Allache et al., 2012; Chen et al., 2018; Curtin et al., 2003; Murdoch et al., 2014; Robinson et al., 2012; Wang et al., 2018). As other planar cell polarity regulators are associated with neural tube defects and have been shown to genetically interact with Celsr1 to increase the severity of the pathology (Murdoch et al., 2014; Wang et al., 2018), planar cell polarity most likely plays a key role in the etiology of these disorders. We do not see neural tube defects arising in the frnt mutants nor do we observe reduced numbers of juvenile celsr1a homozygous mutants as would be expected from early lethality. Zebrafish have two paralogues of many genes as a result of an ancestral whole genome duplication. Retention of paralogues can provide redundancy and buffering of essential functions, allowing for resolution of functions later in development (Kassahn et al., 2009). Although we have not specifically investigated the overlapping function of celsr1 paralogues, such redundancy could underlie the lack of early neurulation phenotypes in the celsr1a mutants. Another hypothesis for the lack of neural tube deficiencies in the zebrafish celsr1a mutants is simply that, as teleosts form the neural tube by cavitation of the neural keel (Papan and Campos-Ortega, 1994) and not intercalation of neural folds as in amniotes, celsr1a and/or PCP is not essential for this developmental mechanism. Prior data suggested that morpholino knockdown of celsr1a led to neural keel defects (Formstone and Mason, 2005), however we do not observe these phenotypes in any of the defined celsr1a mutants. This early developmental difference we observe in fish may have permitted the discovery of the late developmental effects of celsr1a seen here and revealed a role for this gene in the regulation of aging.

Celsr1 plays several signaling roles both in planar cell polarity/non canonical Wnt, as well as, Hippo signaling. Mice with deficiencies in Celsr1 show distinct polarity defects in mouse oviduct epithelia (Shi et al., 2014), hair development (Devenport and Fuchs, 2008; Ravni et al., 2009) as well as patterning of tongue papillae (Wang et al., 2016). We see an analogous phenotype of integumentary phenotypes in the patterning and loss of asymmetry in scales of the zebrafish (Figure 6). Integumentary appendages, while structurally diverse, all share a common early patterning placodal stage, suggesting this may be a point at which pattering is determined by Celsr1. Celsr1 mutants in the mouse have been found to have a dominant effect on vestibular function (Curtin et al., 2003). This has been shown to be associated with misoriented outer hair cell stereociliary bundles regulated by PCP signaling (Curtin et al., 2003). The consequence of these vestibular defects is altered stereotaxis and swirling of mouse Celsr1 mutants (e.g crash (csh) and spincycle (Scy)). We show that celsr1a-deficient zebrafish show comparable behavioral phenotypes with prominent circling/swirling behavior comparable to those seen in the mouse (Figure 9—figure supplement 1, Video 1). Although a detailed analysis of the vestibular system and otoliths in frnt mutants have not been carried out, it is likely that a similar mechanism underlies this phenotype in both species.

Role of celsr1a in regulating progenitor cell populations

Although resembling normal aging, celsr1a mutant fish do not show significant shifts in expression of senescence biomarkers (Figure 3). However, many tissues show acquired deficiencies in tissue integrity and homeostasis similar to those observed in normal-aging zebrafish. These homeostatic aging phenotypes are coincident with decreased tissue specific markers of resident stem cells and proliferation. Expression analysis shows celsr1a diffusely expressed during early embryogenesis becoming localized to a diverse array of tissues as development progresses (Figure 5). Within the intestinal endoderm, ceslr1aGFP has heightened expression of the marker in localized basal cells. The majority of cells strongly expressing celsr1a co-label with neurod1 a marker for differentiated EECs suggesting a role of these cells in the observed pathology seen in the mutants (Figure 8A–C). These cells are not actively cycling as they do not take up BrdU (Figure 7J–K). In adults the population of cells with co-expression is lower but remains a significant portion of celsr1aGFP+ cell populations (Figure 8). Previous work has identified EECs as being a source of quiescent stem cells in the adult mouse intestine (Basak et al., 2017; Sei et al., 2018). EECs are sufficient to contribute to homeostatic and repair activities in the mouse in cell populations not expressing the broad stem cell factor leucine-rich repeat-containing G-protein coupled receptor 5 (Lgr5) suggesting EEC may be a source of resident quiescent stem cells for this tissue. Lgr5+ intestinal stem cells show a bias towards differentiation into EEC morphologies in vitro suggesting EECs may have developmental potential within the intestine for proliferation and stem cell function (Basak et al., 2017; Buczacki et al., 2013; Sei et al., 2018). Zebrafish do not have a Lgr5 orthologue for direct comparison, however we show that celsr1a marks a similar population of secretory EECs and that loss of celsr1a function leads to a loss of homeostasis and decreased progenitor cell number. Thus, celsr1a may be essential for the specification of an early defined EEC population in the zebrafish comparable to those detailed in the mouse having quiescent stem cell properties (Buczacki et al., 2013).

In mice and zebrafish, notch signaling is required for EEC differentiation (Flasse et al., 2013; Fre et al., 2005). Inactivation of notch signaling in the mouse leads to a decrease in stem cell progenitors and overpopulation of goblet cells in the villi (Jensen et al., 2000; Kokubu et al., 2008; Pellegrinet et al., 2011; Riccio et al., 2008; van Es et al., 2005). Recent work has implicated a population of non-proliferative sensory cells that are notch-responsive in the regulation of the stem cell niche during zebrafish intestinal development (Li et al., 2019a). In celsr1a mutants, we see a definitive switch of vacuolated EEC phenotypes and general differentiation of the intestinal epithelium, particularly in the posterior region (Figure 7—figure supplement 1). Such qualitative shift in differentiation suggests that the decrease in proliferative capacity may be due to abnormal differentiation of progenitor cells in the mutant. This shift leads from a deficiency in signaling from a celsr1a labeled cell populations. Although there is a mechanistic link between PCP and notch signaling (Le Garrec and Kerszberg, 2008), it has not been clarified if a similar relationship exists in the zebrafish intestine. Interestingly, the cells closely resemble a conserved type of vacuolated EEC recently described as Lysosome Rich Enterocytes (LREs [Park et al., 2019]) that are essential for nutrient uptake and transcellular transport of cargos, however specific characterization of lysosomes within celsr1a positive cells remains to be determined.

The role of celsr1a in regulation of adult stem cells may be shared in various tissues. Celsr1 mRNA is found to be expressed in zones of neural stem cell (NSC) proliferation in the mouse and abates postnatally in parallel to decreasing numbers of NSC (Goffinet and Tissir, 2017). Similarly, Celsr1 in the mouse was recently found to mark a population of quiescent mesodermal stem cells that contribute to tissue repair (An et al., 2018; Sugimura et al., 2012). Thus, the effects of celsr1a deficiency we observe in the intestine, skin and muscle may have broader implications to stem cell regulation in other tissues, consistent with the degenerative, acquired phenotypes we observe in the celsr1a mutants. We observe an association of celsr1a effects to highly metabolically active tissues such as the slow muscle, epidermis, and intestinal epithelium. The contrast of the pathologies observed in slow muscle (mitochondrial rich red fibers) compared to fast muscle (white fibers) in frnt mutants clearly states this differential. This is consistent with the spectrum of affected tissues in mouse mutants affecting telomere maintenance suggestive of a role in stem cell maintenance as a potential cause of the phenotypes observed (Carneiro et al., 2016; Lee et al., 1998). We favor hypotheses of a tissue specific role for celsr1a in the regulation of aging phenotypes, however given the role of EECs in hormonal regulation, it remains a possibility that the compound effects and acquired aging phenotypes observed across several tissues in the frnt mutant are mediated through systemic/hormonal signaling from the intestine. Such transcellular signaling of EEC cells could foster endocrine signaling that would affect regulation of proliferation and stem cell regulation in other tissues. This hypothesis for intestinal dependence of the senescent phenotypes will require further analysis of tissue specific loss-of-function of celsr1a and analysis of maintenance of homeostasis in adults.

A zebrafish model of stem cell regulation and aging

Phenotypes resembling aging can be influenced by metabolism, activation/alleviation of senescent cell influences, epigenetic regulation such as methylation and acetylation, and general loss of fidelity in transcriptional regulation. Tissue homeostasis is a key factor maintaining tissue vitality and physiological function and has been proposed to be a major factor regulating age-associated phenotypes in many organs and tissues (Liu and Rando, 2011; Schultz and Sinclair, 2016). Using an unbiased genetic screen in the zebrafish, we identified a progeric mutant showing broad tissue level deterioration and loss of proliferative capacity of tissues. Our data suggest that the phenotypes are due to specific loss of progenitor cells in tissues and correlate with loss of expression of stem cell markers such as dNp63 in the epidermis, pax7a in slow muscle, as well as known mammalian markers, sox2 and olfm4, in the zebrafish intestinal epithelium. The identification of celsr1a as a causative factor underlying these phenotypes suggests that PCP signaling is essential for the appropriate maintenance of stem cells in adult tissues. We show that celsr1a marks EEC cells in the zebrafish, cells previously defined as having stem-like capacity in the mouse intestine. Thus, identification of frnt mutants having distinct progeric phenotypes reveals a new model for the regulation of maintenance of stem cells and aging in the zebrafish. It is interesting that although broadly resembling normal senescence in zebrafish, the celsr1a mutant phenotype exhibits a subset of core molecular and metabolic signatures of aging. This supports the notion that aging is multifactorial complex phenotype. The fact that celsr1a can mirror overall organismal phenotypes, also suggests that aging pathologies may be interrelated and represent a systemic readout of even tissue level-events.

It has been difficult to completely reconcile phenotypic similarities between progeria and normal processes occurring during aging (Burtner and Kennedy, 2010). One way to address this question is to see if treatments thought to suppress normal aging can ameliorate the age-related pathologies observed in mutants. We designed a specific caloric-restricted diet for the zebrafish as a means to test if we could modify the frnt aging phenotype through modification of diet. Shifting to a restricted diet in late development showed to be quite efficacious in extending the viability of the mutant, as well as heterozygous siblings specifically in 50% caloric reduced feeds (Figure 9). Caloric restriction also resulted in decreased manifestation of aging phenotypes in celsr1a mutants including behavioral deficiencies (Figure 9C–E) as well as an upregulation of markers consistent with metabolic regulation of aging (Figure 9F–H). Interestingly, the effect of caloric restriction led to upregulation of celsr paralogues, suggesting that alteration of celsr function can compensate in part for celsr1a deficiencies (Figure 9—figure supplement 2). The reduced expressivity of the mutant phenotype by caloric restriction supports that the alterations in the frnt mutant cause changes that are normally modulated by pathways associated with normal aging.

Conclusions

Through use of genetic screens in zebrafish, we have identified a novel role of celsr1a in stem cell function, maintenance and/or proliferation and that disruption of this regulation leads to premature aging of zebrafish. Importantly, the phenotypes detailed occur late in development and affect the early onset or expressivity of aging phenotypes. Although zebrafish are not well suited for systematic analysis of longevity due to their relatively long normal lifespan, one promising aspect of defined mutants having premature aging is their use in screens for genes or specific alleles that can specifically abrogate effects on aging or lifespan phenotypes. Such modifier screens remain a viable future research strategy and tool for discovery using this model.

Materials and methods

Husbandry

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A complete description of the husbandry and environmental conditions in housing for the fish used in these experiments is available as a collection in protocols.io dx.doi.org/10.17504/protocols.io.mrjc54n. All experiments used both male and female fish as no obvious phenotypic difference of the mutation were noted. All experimental procedures involving fish conform to AAALAC standards and were approved by institutional IACUC committee. Mutant alleles used in this work are celsr1at31786 (R122Ins3.5kb), celsr1amh36(C1693X), celsr1amh104(P2027A-fs11X), celsr1aGFP (mh202, L74InsGFPfs), and terthu3430 (C168X). Transgenic line Tg(neurod1:TagRFP)w69 was kindly provided by Dr. John Rawls.

Fish behavior videotaping

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Four tanks were placed in a 2 × 2 stack with each tank housing a single individual (Suppl Video 2). Single recordings were made in order to avoid the mis-tracking of individuals. Fish were put into the video tank 10 min before recording in order to allow them to acclimate. Behavior was then videotaped for 5 min periods. Behavior such as the swimming distance, velocity, time spend in the top half of the tank, change in direction (swim changes from one direction to another direction), erratic turn times (fish swirl or rapid direction changes (≥2 turn/s)) in the five minutes video were recorded and analyzed by ANYMAZE (Stoelting Co.).

Quantitative polymerase chain reaction

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Tissues were isolated and immediately frozen in liquid nitrogen before storing in −80°C or put in TRI Reagent (Sigma) for RNA extraction immediately. Total RNA was extracted by TRI Reagent (Sigma) or Direct-zol RNA Miniprep Kit (Genesee Scientific), and RNA was reverse-transcribed by Superscript IV (Invitrogen) or RNA to cDNA EcoDry Premix (Oligo dT; Takara). PCR was carried out using QuantiFast SYBR Green PCR Kit (Qiagen) or SYBR Green PCR Master Mix (Applied Biosystems). The expression levels of target genes were normalized to the levels of reference genes, ribosomal protein L13 alpha (rp113a) or tubulin (Tang et al., 2007). The relative expression ratio of each target gene to the reference was normalized to the control group (2-∆∆ct method). All qRT-PCR assays in a particular experiment were undertaken at the same time under identical conditions and performed in triplicate. Primer sequences used for gene amplification are listed in Supplementary file 1B.

Mutagenesis and non-complementation screen

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Tuebingen male fish were treated with N-ethyl-N-nitrosourea (ENU; Sigma) following an optimized protocol using clove oil (Sigma) as a sedative (Rohner et al., 2011). The surviving mutagenized founders were crossed to frntt31786 homozygous females. Progeny were screened at 2–3 months of age to identify frnt phenotypes. Mutants were maintained by out crossing to Tuebingen wild-type strain and incrossing.

Mapping of frnt

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Rough mapping of the mutant frnt was based on a whole genome sequencing method described previously (Bowen et al., 2012). DNA from 20 homozygous F2 from frnt/+ incrosses was isolated and pooled for DNA library construction. Whole-genome sequencing was carried out on an Illumina HiSeq2000, using 100 bp single-end sequencing. Linkage was confirmed and an interval was narrowed down by analysis of recombinants using microsatellites and SNP markers. To further refine candidate genes, the ENU generated allele (mh36) that failed to complement frnt was sequenced. DNA was isolated from two homozygous individuals and whole-exome sequencing was carried out using 50 bp paired-end sequencing. Three top candidates which had either missense/nonsense mutations or low coverage in the linked region in both of the alleles were chosen for CRISPR/Cas9 targeted mutagenesis. Sequencing of the non-complementing alleles frntt31786 and frntmh36 identified celsr1a as the likely causative gene in frntt31786. Analysis of whole genome sequencing data identified a sharp break point in the sequencing read coverage of celsr1a in frntt31786. To search for reads spanning this insertion, we used Blastn (Altschul et al., 1990) to identify reads where one half of the read had 100% match to either side of the putative insertion. We then used CAP3 (Huang and Madan, 1999) to perform a de novo contig assembly on the identified reads. We were unable to assemble a single contig containing the entire insert, suggesting this insert spanned a greater length than could be contained in a single 100 bp sequencing read. To identify the identity of the insert, we then performed BLAT on Ensembl against the zebrafish genome on the non-celsr1a portion of each contig. Through this, we discovered that the frntt31786 mutation was due to a 3.5 kb transposon insertion in exon 1 of celsr1a (ENSDARG00000093831). frntmh36 had a nonsense mutation in exon 8 of the same gene.

Reverse genetic editing of celsr1a locus

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Homozygous frntt31786 were outcrossed to Tuebingen wild-type fish and progeny (frnt/+) were used for complementation testing. Guide RNA (gRNA) targeting exon 16 of celsr1a were designed using Zifit (zifit.partners.org) (Sander et al., 2010). A mix of 150 ng/μl Cas9 mRNA, and 100 ng/μl gRNA was injected into frnt/+ one-cell stage embryos in a total volume of 2 nl. Fish were screened at young juvenile stages for appearance of the frnt phenotype.

Green fluorescent protein (GFP) was knocked-in 114 nucleotides upstream of the start codon of celsr1a using CRISPR/Cas9. One gRNA targeted close to the start codon was chosen based on CHOPCHOP prediction (http://chopchop.cbu.uib.no/)(Labun et al., 2019). A donor plasmid was constructed using 1 kb homology arms at each side of the insertion site. A mix of 125 ng/μl Cas9 mRNA (System Biosciences), 12.5 μM gRNA (IDT), 10 ng/μl donor plasmid and 1 mM SCR7 (Xcessbio Biosciences) was injected into wild-type one-cell stage embryos in a total volume of 2 nl. Fish were screened at 24–72 hpf for the presence of GFP expression.

Histology

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Fish were anesthetized by 0.4% MS-222 and fixed using 4% paraformaldehyde (PFA) at 4°C overnight, decalcified in 14% EDTA for one week before proceeding for dehydration and embedding in paraffin. Samples were cut at a 6 μm thickness and stained with Haematoxylin (Electron Miscroscopy Sciences) and Eosin (Sigma). For Alcian blue PAS staining, after deparaffinization and hydration to distilled water, slides were stained in 1% alcian blue solution (pH 2.5) for 30 min, then washed in running tap water for 2 min and rinsed in distilled water, then were oxidized in 0.5% periodic acid solution for 5 min, rinsed in distilled water and placed in Schiff’s reagent for 15 min. For PAS stain, after in situ hybridization slides were oxidized in 0.5% periodic acid solution for 5 min, rinsed in distilled water and then placed in Schiff’s reagent for 15 min for staining.

Muscle fibers were measured from individual sections stained with Hematoxalin and Eosin using Nikon NIS Elements software package v4.4 quantitation software. At least three individuals were counted from each genotype and age group, and fibers from both the left and right slow muscle were counted. Only one section was counted for each individual. Sections of intestines were made such that all three regions of the gut can be identified on a particular section (Figure 7—figure supplement 1A). In this way for each experiment, analysis was centered on regional differences in the intestine and focused to comparable areas across individuals. Individuals were harvested at comparable times, but were not removed from food for extended length of time prior to euthanasia.

In situ hybridization

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Probes for in situ hybridization were synthesized using DIG RNA Labeling Kit (Roche). In situ hybridization was carried out on paraffin sections. Slides were rehydrated, digested by proteinase K and acetylated by treatment with acetic anhydride in triethanolamine. Sections were hybridized with approximately 10 ng probe in 100 μl hyb at 65°C overnight. After post-hybridization wash and antibody incubation with anti-Digoxigenin-AP (1:2500 dilution), the signal was detected by BCIP/NBT (Sigma).

For quantification of olfm4 expression in intestines, we counted the average number of olfm4 positive cells per section. Two to three sections per fish were counted; n = 5–7 fish.

Electron microscopy

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Excised samples of the flank encompassing slow muscle tissue of adult wild-type and celsr1a mutant fish were fixed with a mixture of 4% PFA in PBS and 1–2.5% glutaraldehyde. After post-fixation with 1% osmium tetroxide in 100 mM PBS, samples were treated with 1% aqueous uranyl acetate, dehydrated through a graded series of ethanol and embedded in Epon. Ultrathin sections were stained with uranyl acetate and lead citrate and viewed in a Philips CM10 electron microscope housed at the Max Planck for Developmental Biology, Tübingen, Germany.

Southern blot of telomere length

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Genomic DNA was extracted by phenol-chloroform-isoamyl alcohol extraction method in order to obtain intact long telomeres, and was digested by HinfI, RsaI, AluI, MspI and HaeIII. 6 ug of total digested genomic DNA was loaded per lane. After electrophoresis, DNA was transferred to a positively charged nylon membrane. Probe labeling and Southern blot detection were carried out using ‘DIG High Prime DNA Labeling and Detection Starter Kit I’ (Roche). Probes were generated using PCR based amplification of the (TTAGGG) repeat only were used to amply fragment from telomere and subcoloned. Probe was labeled with digoxigenin-dUTP.

Skeletal staining and quantitation

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Alizarin red staining was performed using 1% alizarin red in 0.5% KOH. Tissue was dehydrated in ethanol prior to staining. Measurement of scale diameter accomplished through quantitation tools within the Nikon NIS Elements software package v4.4.

SA-β-gal staining

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Fish tissues were fixed in 0.2% glutaraldehyde overnight, stained in 1 mg/ml 5-Bromo-4-chloro-3-indolyl β-D-galactopyranoside (X-gal, Cell Signaling) pH of 5.9–6.1 overnight at 37C, and post-fixed in 4% PFA. The samples were then processed for paraffin embedding by standard dehydration methods. Cross-sections of these samples were cut at a 6 μm thickness and counterstained with nuclear red.

BrdU labeling

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For analysis of proliferation in larvae, 10 mM BrdU (Sigma) was added to E3 buffer and larvae were treated for 24 hr at 28.5°C. For analysis in adult tissues, 30 μl of 2.5 mg/mL BrdU (Sigma) was injected intraperitoneally and samples were collected at designated times after injection (Hui et al., 2014; Schall et al., 2017).

BrdU staining was conducted following Verduzco and Amatruda (2011) with minor modifications. In brief, larvae were fixed in 4%PFA for 2 hr, then transferred to methanol at −20°C. A 1:100 dilution was used for anti-BrdU antibody after 5 × 10 min wash in PBST. Adult tissues were dissected, fixed overnight, and processed for standard paraffin embedding. Cross-sections of these samples were cut at a 6 μm thickness and treated with standard immunofluorescence (1:500 dilution of BrdU antibody) with an antigen retrieval step of boiling in sodium citrate buffer (10 mM, pH 6) for 5 min. Slides were then counterstained with 300 nM DAPI for 30 min. Quantitation of Brdu positive cells in cross section was normalized by number of rugae as this was found to be the most robust value among fish and is associated with areas of proliferation at the valley between rugae. Double labeling of BrdU and GFP in larvae was performed by whole mount immunological staining of celsr1aGFP for BrdU and DAPI and imaging of whole larvae intestines with confocal microscopy.

Quantitation of co-labeling

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Cell counting was automated using ImageJ 1.52 p with Fiji. All images used a gaussian blur with sigma = 1 (GFP) or sigma = 2 (RFP) followed by a rolling ball background subtraction of size 50 (GFP) or 20 (RFP) with sliding paraboloid enabled. These were used to identify maxima with prominence = 1, to be used as seeds for marker-controlled watershed. The mask for the watershed was derived using edge detection, enhanced contrast, thresholding, and the binary close, fill holes, and open. The watershed basins were used to define regions of interest, but were excluded if they were larger than 700 pixels, smaller than 55, less than 0.5 round, or less than 0.3 Circularity, or if their maximum pixel intensity was less than 10. The remaining regions of interest were overlapped between channels and binary intensity confirmed their overlap.

Immunofluorescence

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Primary antibodies and dilutions: BrdU antibody (IIB5) (Santa Cruz Biotechnology sc-32323, 1:500), Phospho-Histone H3 (Ser10) (Cell Signaling Technology 9701, 1:500), Anti-GFP rabbit IgG, Alexa Fluor 555 conjugated (Invitrogen A-31851, 1:500). Secondary antibodies and dilutions: Alexa Fluor 488 goat anti-rabbit IgG (Invitrogen A11070, 1:500), Alexa Fluor 568 goat anti-rabbit IgG (H+L) (Invitrogen A21069, 1:500), Goat anti-mouse IgG (Cy3 (Abcam ab97035, 1:500), Alexa Fluor 488 goat anti-chicken IgG (Invitrogen A11039, 1:500). Before blocking, sections were boiled in sodium citrate buffer (10 mM, pH = 6) for 5 min in a pressure cooker for antigen retrieval. Slides were then counterstained with about 300 nM DAPI for 30 min.

Caloric Restriction

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Mutant or control fish were placed with an equal number of albino fish at normal rearing density (20/liter) per each feeding group tested. Albino fish were present to serve as a balance for fish density and buffer in the case of reduced viability in the study due to the mutant genotype. Two separate experiments were carried out, one with wildtype fish and the other with siblings as controls. Fish were sorted by phenotype at juvenile stages and placed on the experimental diets starting at 5 month and 3.5 months old, respectively. The caloric restriction feed was synthesized by reducing carbohydrate and proteins but maintaining the lipid and vitamins/mineral constant to avoid malnutrition. Feed was produced in the laboratory using defined ingredients. Each diet was prepared by mixing ingredients with reverse osmosis (RO) water until a homogeneous batter was formed. The batter was then spread into a thin sheet and baked at ~212 °F until dry (~1.5 hr) in a commercial convection oven. The diet was then cooled to room temperature, crushed into pieces and ground into crumble form using a bur grinder. Crumbles were then sieved into two size ranges: 100–200 micron for juvenile and 200–300 micron for adult life stages. The ingredient and constitution of the feed is shown in Suppl. File 1A. To normalize feeding regimes, the amount of food was provided as a measure of total weight of the fish. Fish weight was measured en masse per group and not singularly every two weeks, and fish were fed at 3% of total fish weight. Fish numbers were counted weekly and any deaths were recorded daily. Experiments were terminated once the percentage of fish remaining dropped below 20% of starting numbers.

Statistical analysis

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Values are shown as mean ± standard deviation. Statistical significance between two groups was determined by student’s t-test. Statistical significance among several experimental groups was determined by one-way analysis of variance (ANOVA). Significance was set at p<0.05. Mantel-Cox and Geha-Brelow-Wilcoxon tests were used to plot viability curves. To compare swimming behavior data, the two-way ANOVA was used. All statistics ​were executed using Prism software package. Significance was set at p<0.05.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

References

Decision letter

  1. John F Rawls
    Reviewing Editor; Duke University School of Medicine, United States
  2. Didier YR Stainier
    Senior Editor; Max Planck Institute for Heart and Lung Research, Germany
  3. David M Parichy
    Reviewer; University of Virginia, United States

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

Your manuscript demonstrates how forward genetic approaches in the zebrafish can be applied to discover genetic regulators of aging. While prior work has looked at larval stress as a proxy, this is the first use of zebrafish genetics to screen for factors controlling aging. This innovative approach reveals a surprising role for celsr1a, a non-classical cadherin associated with planar cell polarity, in stem/progenitor cell maintenance. This is supported by premature aging phenotypes in muscle, intestine, skin, and scales, as well as behavioral deficits that emerge during young adult stages in celsr1a mutants. These data provide support for hypotheses that stem cell dynamics control the onset and expressivity of aging. Overall, this mutant phenotype is quite interesting, in particular the ability of caloric restricted diets to partially rescue the phenotype. Such dietary modulation of aging phenotypes is a first for zebrafish. This work will be of interest to readers in the fields of developmental biology, stem cell biology, and aging, and provides a framework for cross-disciplinary analysis of aging and its regulation.

Decision letter after peer review:

Thank you for sending your article entitled "Celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish" for peer review at eLife. Your article has been evaluated by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Didier Stainier as the Senior Editor.

All reviewers appreciate the innovation of this work identifying new and very interesting aging-related phenotypes in this Cels1ra mutant, but have concerns that the analysis remains fragmented in terms of delving deeply into any particular mechanism in any particular tissue. The reviewers have identified several major concerns that could be addressed to more fully validate some of the major conclusions.

Reviewer #1:

This is an interesting and well-written paper describing a detailed phenotypic characterization of the a novel premature aging mutant in zebrafish. This is the first such mutant to arise from forward genetic screens in zebrafish. The manuscript includes analysis of a number of interesting phenotypes in these mutants including muscle, intestine, skin, scale, and behavioral deficits that emerge during young adult stages. Overall, this mutant phenotype is quite interesting, in particular the ability of the caloric restriction treatment to partially rescue the phenotype, and a useful contribution to the ageing field. However, the complex multi-tissue phenotypic analysis of these mutants results in a fairly fragmented picture of the associated pathology that develops in this mutant. The reader is left unsure which tissues and cells actually require the ceslr1a gene to promote normal ageing (as expression of ceslr1a is quite widespread), though it's clear that progenitor/stem populations in the above tissues are affected directly or indirectly. Below I list several concerns and potential approaches to improve the clarity and impact of this innovative work.

1) Figure 7—figure supplement 1E-H and associated text: Please clarify what region of the intestine was used to generate these images. These single images are not sufficient to support the claim in the first paragraph of the subsection “celsr1a is required for proliferative capacity and maintenance of intestinal progenitor cells” that there are more goblet cells in the mutant. That would need to be quantified across multiple animals, with clarity on what intestinal regions were assessed. Indeed, when I look at other rugae in panels E and G, it looks like mutants may have less goblet cells, so this definitely needs to be more rigorously quantified if the data is to stay in this paper. Also of potential interest, it appears (again, from just these single images) that the mutant intestinal epithelium has aberrant structure beyond goblet cells. To me it looks like there may be an enrichment of lysosome-rich enterocytes (LREs) which were very recently described by Michel Bagnat's group (Park et al., 2019). If the authors are indeed able to bring in quantitation from other animals to look at goblet cell number, please also keep an eye on those LRE-like cells to see if that is consistent too. When these edits are made, please also adjust the Discussion text reviewing these data.

2) Subsection “Role of celsr1a in regulating progenitor cell populations”, first paragraph: Figure 7K shows colocalization of neurod1+ gut epithelial cells (presumably enteroendocrine cells) with ceslr1aGFP at 4dpf – this alone is not enough to posit here that enteroendocrine cells are contributing to a gut pathology that doesn't emerge until months later. I think the authors would need to evaluate that colocalization at the later adult stages in order to sufficiently strengthen that claim. It would also be helpful if the authors could quantify this colocalization rather than just providing a single image. Similarly, the lack of BrdU incorporation at this early 4dpf stage doesn't have strong relevance for how those cells might behave in adult stages. So, again, I think this would need to be repeated in (young?) adult intestine. As mentioned elsewhere in this review, this recent paper from Ken Wallace's lab (Li et al., 2019a) might be relevant here, as it reports a population of non-proliferating secretory cells in the zebrafish larval intestine that might regulate development of the intestinal stem cell niche. Could these be the same neurod1+/celsr1a+ cells reported here?

3) Figure 8E, F: The behavioral phenotype in control diet mutants appears to be driven by just 1-2 animals, with no similar outliers appear in the 25% or 50% CR diet mutants. This seems like a borderline phenotype that may not be worth reporting here. What about some of the other phenotypes reported earlier in the paper, in the muscle and intestine for example? Are they rescued by the 50% CR? As a side note, the behavioral phenotype is interesting, but the absence of any pathological insight there leaves it dangling awkwardly in the narrative. Are there any CNS or vestibular defects apparent by histology or TEM?

4) Figure 9: The authors claim in the text that this shows compensatory upregulation of celsr homologs in celsr1a mutants, but none of these paralogs show statistically significant upregulation by 50% CR in the mutant (whereas they are all robustly induced in WT animals). Therefore there's certainly no sign of "compensation" in the mutant, and the overall claim that celsr homologs might be functionally compensating for celsr1a mutation seems inadequately supported here. I recommend removing these data from the paper, or at least relegating them to the supplementary section and a more minor point in the text. Please also remove/adjust the associated claim in the Discussion on this point.

5) Considering the fragmented/multi-tissue nature of the mutant phenotypic analysis reported in the earlier part of the paper, the inclusion of the caloric restriction experiment at the end was quite exciting, as it seems to provide an opportunity to see how each affected tissue responds, potentially helping to prioritize future studies. However, the CR fish were only assessed for behavioral and gross anatomical phenotypes. I agree that scale phenotypes may take a while to recover, but why not also look at intestinal or muscle histology (which were deeply phenotyped earlier in the paper under normal feeding conditions)? Also, if you have a sense of whether there are vestibular defects, those could be inspected more thoroughly in CR too. Some sort of further phenotypic assessment of this CR rescue would significantly increase the impact of this article.

6) Figure 5: The authors' argument that these data support that celsr1a expression is reduced during aging, perhaps lingering in select cells, is not sufficiently supported by the data here. The qPCR data shown in panel A show that all tissues have apparent reduction in celsr1a expression by 9 months of age compared to earlier expression, but this appears to be all relative to a given housekeeping gene (which one? Two are listed in Materials and methods). I think this would need to be confirmed with a second housekeeping gene. Further, the image data here don't convey reduced expression in multiple tissues – young and old animals' GFP levels look rather similar, actually. Can GFP levels be quantified (by qPCR and/or imaging) at different ages in select tissues? Also, it's unclear if these data are from a single or multiple animals – this should be clarified in the legend. I think these data should be improved in these ways, or the associated claim will need to be removed (and I do NOT think that would significantly detract from the paper).

Reviewer #2:

In this study, Li et al. identify celsr1a as the causative gene underlying mutant defects in skin and muscle homeostasis reminiscent of phenotypes that would be expected in progeric zebrafish. The authors find reduced survivorship of mutants and also defects at histological, cellular, and molecular levels in skin, slow muscle and gut. They clone the affected gene, verifying its identity by a combination of mapping, non-complementation screening, and targeted mutagenesis, and they generate an insertional GFP line to examine expression. Li et al. further provide evidence for defects in stem cell maintenance and cycling, identify a scale phenotype implicating celsr1a in PCP pathway signaling in zebrafish, and find that a caloric restriction diet partially ameliorates the viability phenotype, as well as behavioral phenotypes, though not the overt morphological defects. Finally the authors detect an upregulation of senescence associated genes as well as celsr homologues in the context of caloric restriction.

This is an interesting study that identifies zebrafish as a tractable model for studies of aging phenotypes. In addition to the analyses presented, the work raises, but does not answer, a variety of interesting mechanistic questions (e.g., how precisely celsr1a mutation leads to mitochondrial or other cellular defects; how caloric restriction specifically leads to upregulation of homologues and other aging genes, and whether upregulation of these genes indeed explains the partial rescue of survivorship). These and similar sorts of questions would be nice to answer but, given the time frame involved, also seem to be outside the reasonable scope of this study.

Reviewer #3:

In "Celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish" by Li and colleagues, the authors undertake a genetic screen to identify new mutants exhibiting features of premature aging and identify such a phenotype caused by mutations in the gene celsr1a. The overall goal of the paper is important in both identifying potentially novel pathways involved in aging and stem/progenitor cell maintenance in adult tissues as well as in exploring the utility of the vertebrate zebrafish model in characterizing the underlying molecular mechanisms. While the text and figures are extensive, the depth of the analysis on each major aspect of the mutant phenotype is, generally, either preliminary or has important limitations in interpretation due to experimental issues.

Overall, the manuscript would seem better served to focus on fewer phenotypes/related pathways and investigate these in greater depth and with increased rigor. e.g. In the Results sections, the PCP phenotype almost seems out of place initially as the paper is set up to discuss aging and stem cell maintenance, and then has this extensive section on epidermal appendages (all nicely presented, but lacking context). The Discussion then does have a lengthy section on PCP pathway in the stem cell context, but the current structure of the paper is confusing and new mechanistic insights that can be drawn are limited with the current data. Other major points include:

1) How are the authors normalizing expression data to show decreased ΔNp63 and pax7a? Agreed skin is thinner and slow muscle is thinner. Doing bulk qPCR on these tissues could be misleading since the total fraction of cells of each type is not the same in each sample. The in situ staining in the gut for putative stem cell markers Sox2 and olfm4 seems a better assessment for overall decreased numbers of cells expressing these markers. Also, another control should be 2.5-year-old WT skin that, as shown in Figure 2E, is thinner than WT at 1 year. What happens to ΔNp63 expression levels? Evaluating ΔNp63 expression levels by qPCR in aged WT skin (which is also thin) would sufficiently address/aid in the interpretation of the ΔNp63 qPCR levels of the young WT and mutant skin.

2) Most likely, celsr1a protein is not being made, but the Western blot in Figure 4H lacks loading controls and makes interpretation difficult. Further, what is the predicted size of the protein, and how does it match with the multiple bands identified? Why is the major band in frnt Mc lane higher than the major band in wt Mc? Is this a cross-reactive protein in the Mc frnt sample, which is expected to not make viable celsr1a protein? I would support that the Western needs a loading control, and Materials and methods section needed describing/showing validation of the antibody used, if the Western is ultimately included.

3) In principle, the knock-in of GFP to the celsr1a locus is an elegant way to monitor its expression, but the statement "The identified line, celsr1aGFP, recapitulates early expression seen by whole mount in situ (1dpf, Figure 5C)" requires a supporting in situ to the endogenous transcript in this line. I think to claim that the GFP knock-in reporter recapitulates the endogenous cels1ra expression pattern, an in situ to endogenous cels1ra (in situ probe published) is needed compared to reporter GFP (fine if separate sib embryo done by fluorescent microscopy, no need for GFP double in situ).

4) The use of label retention as a functional read-out for stem/progenitor cells in the gut is interesting, but why are Anterior BrdU cells/rugae increased at 48 hours of chase in frnt mutants relative to earlier time points? Even with decreased proliferation in the frnt mutants, should not all label-retaining populations stay constant or decreased over time? There may be variability in the degree of baseline labeling for different fish/replicates, but otherwise seems pretty consistent in other regions of the gut and at other time points in other conditions. A comment is sufficient in the Results/Discussion explaining the changes in label retention over time between the earliest and 48 hour time point for the mutant group. How is there increase in label retaining cells over time from 5 to 48 hours in the anterior segment in the cels1ra group? Technical issue? Perhaps different regions were assessed at the different time point?

[Editors' note: further revisions were suggested prior to acceptance, as described below.]

Thank you for resubmitting your work entitled "Celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish" for further consideration by eLife. Your revised article has been evaluated by Didier Stainier as the Senior Editor, and a Reviewing Editor.

The manuscript has been improved but there are some remaining issues that need to be addressed before acceptance, as outlined below:

In response to reviewer 1's concern 1, you added new data on intestinal goblet cell number (Figure 9K, L). The new data shows that the frnt genotype does not alter the observed increase in goblet cell number that occurs with CR. This is useful new data, but there appears to be no statistical analysis to support the claim that CR increases goblet cell number (for either genotype or intestinal region). Please add analysis of statistical significance to support this claim, or state in the legend that those differences did not reach statistical significance. Also, there is no panel M in this figure anymore, so please edit the figure legend accordingly.

https://doi.org/10.7554/eLife.50523.sa1

Author response

Reviewer #1:

This is an interesting and well-written paper describing a detailed phenotypic characterization of the a novel premature aging mutant in zebrafish. This is the first such mutant to arise from forward genetic screens in zebrafish. The manuscript includes analysis of a number of interesting phenotypes in these mutants including muscle, intestine, skin, scale, and behavioral deficits that emerge during young adult stages. Overall, this mutant phenotype is quite interesting, in particular the ability of the caloric restriction treatment to partially rescue the phenotype, and a useful contribution to the ageing field. However, the complex multi-tissue phenotypic analysis of these mutants results in a fairly fragmented picture of the associated pathology that develops in this mutant. The reader is left unsure which tissues and cells actually require the ceslr1a gene to promote normal ageing (as expression of ceslr1a is quite widespread), though it's clear that progenitor/stem populations in the above tissues are affected directly or indirectly. Below I list several concerns and potential approaches to improve the clarity and impact of this innovative work.

We thank the reviewer for the interest in our findings and their insight in to how to improve the data. In response to the discussion concerning scope of the characterization, I would refer to the response above concerning our decision on why we chose a broader description of aging phenotypes in the mutant. We agree a deep-dive on a particular tissue would be insightful, but we first have to show plausible mechanism of aging. Once the broad phenotype is presented and accepted by the field as resembling aging, individual organ systems can be studied in depth for effect of loss of celsr1a in local context.

In this work, we were successful in identifying the maintenance of stem cells and markers as key factor that is shared among tissues as a potential cause of the aging phenotype. We have not done experiments to test loss of celsr1a only in one tissue (e.g. loss in endothelium of gut only) to assess the essential function of that tissue to maintain normal (non-aging) phenotype. Beyond the technical complexity of this approach, it is not clear if there will be a central cause or additive causes that contribute to aging phenotypes.

1) Figure 7—figure supplement 1E-H and associated text: Please clarify what region of the intestine was used to generate these images.

We have added position in this supplementary figure as well as throughout text.

These single images are not sufficient to support the claim in the first paragraph of the subsection “celsr1a is required for proliferative capacity and maintenance of intestinal progenitor cells” that there are more goblet cells in the mutant. That would need to be quantified across multiple animals, with clarity on what intestinal regions were assessed. Indeed, when I look at other rugae in panels E and G, it looks like mutants may have less goblet cells, so this definitely needs to be more rigorously quantified if the data is to stay in this paper.

We fully agree with the reviewer statement. We have quantitated this phenotype (now added to Figure 9) and the initial observation of increased numbers of goblet cells was in fact not specific rather a general trend. However, in work provided in review, we find that alteration by 50% CR caused regional increase in goblet cell number suggesting a shift in intestinal response in the treatment. As a general description, the vacuolated cell phenotype is qualitatively distinct, just very difficult to quantify without different specific staining methods. We have changed the text to reflect these new data and implications.

Also of potential interest, it appears (again, from just these single images) that the mutant intestinal epithelium has aberrant structure beyond goblet cells. To me it looks like there may be an enrichment of lysosome-rich enterocytes (LREs) which were very recently described by Michel Bagnat's group (Park et al., 2019). If the authors are indeed able to bring in quantitation from other animals to look at goblet cell number, please also keep an eye on those LRE-like cells to see if that is consistent too. When these edits are made, please also adjust the Discussion text reviewing these data.

We agree entirely. The celsr1a mutant causes major shifts in posterior intestinal vacuolated cell populations as noted by the reviewer. The pictures while of a single individual are representative of the overall phenotype of the mutant. We were not able to devise a robust means to quantitate these phenotypes. We looked at goblet cell # (now in Figure 9) both in the mutant and in CR treated fish. But the boundaries of vacuolated cells were hard to pin down with histology alone. We had not seen the work on LREs prior to submitting our manuscript. We have gone back to add appropriate citation of this work in our description of the phenotype. We have also noted the transcellular signaling function of these cells in potential models of regulation of broader stem cell function in other tissues.

2) Subsection “Role of celsr1a in regulating progenitor cell populations”, first paragraph: Figure 7K shows colocalization of neurod1+ gut epithelial cells (presumably enteroendocrine cells) with ceslr1aGFP at 4dpf – this alone is not enough to posit here that enteroendocrine cells are contributing to a gut pathology that doesn't emerge until months later. I think the authors would need to evaluate that colocalization at the later adult stages in order to sufficiently strengthen that claim. It would also be helpful if the authors could quantify this colocalization rather than just providing a single image.

We have confirmed that we can see colocalization of neurod1 and celsr1a:GFP in adult intestinal epithelia. We have added both pictures and quantitation of colocalization in adults in the revised manuscript.

Similarly, the lack of BrdU incorporation at this early 4dpf stage doesn't have strong relevance for how those cells might behave in adult stages. So, again, I think this would need to be repeated in (young?) adult intestine.

We repeated BrdU incorporation in adult celsr1a:GFP fish to look at the retention in the intestine and its association with Celsr1 expression. Unfortunately, due to increased autofluorescence in the fixed adult tissue, the results were inconclusive and could not be added to the manuscript. We appreciate the reviewers statement that early developmental associations do not necessarily reflect those occurring in later stages and or in homeostasis. We maintain that the result in the larvae are meaningful, however we have qualified the description in the text to reflect the early developmental stage of these observations. It now reads:

“BrdU incorporation in intestinal epithelium of larvae in which celsr1a cells are marked with GFP (celsr1aGFP) shows restricted incorporation of BrdU in celsr1a+ cells during growth (Figure 7J). This suggests that celsr1a-expressing cells in the larval intestine are not actively cycling”

We do not think this passage overstates the findings.

As mentioned elsewhere in this review, this recent paper from Ken Wallace's lab (Li et al., 2019a) might be relevant here, as it reports a population of non-proliferating secretory cells in the zebrafish larval intestine that might regulate development of the intestinal stem cell niche. Could these be the same neurod1+/celsr1a+ cells reported here?

The papers from the Wallace lab that were published in the last few months are very interesting. The antibody as described in the manuscript is broad in its detection of different sensory types, such that many EEC cell types all are antibody 2F11 positive. Further selection showed nkx2.2 expression further subdivides these lineages. We were unable to fully define the overlap of celsr1a+ cells with the notch responsive lineage. This would be best done with the conditional transgene described in Li et al., 2019. It is a very provocative hypothesis, however beyond the neurod1:celsr1a overlap, which is partial, we were unable to dissociate these cells further. Single cell data of zebrafish intestinal cells would be intriguing, however, in cursory analysis of datasets (such as Lickwar et al., 2017) showed celsr1a to be lowly expressed, and therefore underpowered to partition into differential EEC subtypes. FACS sorted celsr1+ intestines and bulk mRNAseq could approach this question in future work. Importantly, we provide the models, transgenic line, and context in which to follow these questions.

3) Figure 8E, F: The behavioral phenotype in control diet mutants appears to be driven by just 1-2 animals, with no similar outliers appear in the 25% or 50% CR diet mutants. This seems like a borderline phenotype that may not be worth reporting here. What about some of the other phenotypes reported earlier in the paper, in the muscle and intestine for example? Are they rescued by the 50% CR? As a side note, the behavioral phenotype is interesting, but the absence of any pathological insight there leaves it dangling awkwardly in the narrative. Are there any CNS or vestibular defects apparent by histology or TEM?

We thank the reviewer for their comment and agree that further investigation into the other tissues was warranted. We now include analysis of effect of CR on slow muscle and intestinal phenotypes observed in the celsr1a mutant and have integrated these new data with the qPCR analyses of the same tissue. The results clearly show restoration of the sarcopenia phenotype in both siblings and mutants by 50% CR treatment. Additionally, we show distinct shift in regional differentiation of goblet cells (AB+) in the intestine. These data are now included in a new Figure 9 in the revision.

The behavioral difference is actually quite robust driven by broad shift in the mean of the whole population in case of ‘turns per second’ and reduction by most of the broader “swirling” behaviors observed in the mutant. Behavior is one of the primary outward phenotypes of the fish (a consistent means of screening adults is to tap on the tank) and thus we feel it is important to include this in the CR analysis. This is nicely paired with specific changes in expression of known metabolic regulators associated with aging in other vertebrates in brain tissue of 50% CR treated and control fish.

We have previously looked for CNS and vestibular defects in the celsr1a mutant fish through our own analyses as well as sharing the mutants with laboratories that specialize in inner ear and neural function. No obvious pathologies were noted. TEM may reveal more nuanced age-dependent pathologies associated with inner ear, however the extensive work required to test the presence of subtle cilial defects in the mutant and their progressive deterioration is a substantial undertaking and outside the realm of this initial description.

4) Figure 9: The authors claim in the text that this shows compensatory upregulation of celsr homologs in celsr1a mutants, but none of these paralogs show statistically significant upregulation by 50% CR in the mutant (whereas they are all robustly induced in WT animals). Therefore there's certainly no sign of "compensation" in the mutant, and the overall claim that celsr homologs might be functionally compensating for celsr1a mutation seems inadequately supported here. I recommend removing these data from the paper, or at least relegating them to the supplementary section and a more minor point in the text. Please also remove/adjust the associated claim in the Discussion on this point.

We appreciate the reviewer’s comment on the measure of change seen in expression of celsr paralogues in the CR treated fish. We agree that the effect was modest, but the fold change was consistent between siblings and mutants for each gene. For cases that fell ‘below’ significance, the value was p<0.057. It is hard to argue that the 0.007 difference is enough to warrant removal of the data. In response to reviewers concern, we have moved the data to a supplementary figure (Figure 9—figure supplement 3) and have worked to shape conclusions present in the manuscript including choice of wording apart from ‘compensation’ as this seems to have other baggage these days.

5) Considering the fragmented/multi-tissue nature of the mutant phenotypic analysis reported in the earlier part of the paper, the inclusion of the caloric restriction experiment at the end was quite exciting, as it seems to provide an opportunity to see how each affected tissue responds, potentially helping to prioritize future studies. However, the CR fish were only assessed for behavioral and gross anatomical phenotypes. I agree that scale phenotypes may take a while to recover, but why not also look at intestinal or muscle histology (which were deeply phenotyped earlier in the paper under normal feeding conditions)?

As stated in response to question #3 above, we have added more data on slow muscle phenotypes in the CR treated fish. We’ve added slow muscle/sarcopenia and intestinal differentiation effects to CR treatment which support rescue/compensational ability of 50% CR on age-related pathologies of the celsr1a fish. As this paper is the first to use CR on zebrafish (not dietary restriction) we remain excited about the level of characterization we provide and the evidence of rescue/abrogation of the aging phenotypes in the celsr1a mutant fish.

Also, if you have a sense of whether there are vestibular defects, those could be inspected more thoroughly in CR too. Some sort of further phenotypic assessment of this CR rescue would significantly increase the impact of this article.

We are not aware of a vestibular phenotype in the mutant involving gross anatomical structure. Cilia phenotypes unfortunately would require new samples as fixation is a problem with the samples we have. Such samples would require greater than a year to procure. In response to our review plan, it was stated that this was not necessary for this particular review. We have established a broader long-term collaboration to look at this phenotype.

6) Figure 5: The authors' argument that these data support that celsr1a expression is reduced during aging, perhaps lingering in select cells, is not sufficiently supported by the data here. The qPCR data shown in panel A show that all tissues have apparent reduction in celsr1a expression by 9 months of age compared to earlier expression, but this appears to be all relative to a given housekeeping gene (which one? Two are listed in Materials and methods). I think this would need to be confirmed with a second housekeeping gene. Further, the image data here don't convey reduced expression in multiple tissues – young and old animals' GFP levels look rather similar, actually. Can GFP levels be quantified (by qPCR and/or imaging) at different ages in select tissues? Also, it's unclear if these data are from a single or multiple animals – this should be clarified in the legend. I think these data should be improved in these ways, or the associated claim will need to be removed (and I do NOT think that would significantly detract from the paper).

To compare expression levels and robustness to normalization methods, we analyzed celsr1a expression in young (1dpf) and aged (1 year old) adult tissue and compared it to two different housekeeping genes (Author response image 1). There was no significant difference among housekeeping gene used in analysis. In response to comments here, we have deleted the qPCR developmental analysis as we agree that it was not absolutely necessary.

Author response image 1
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Expression of housekeeping genes in late development and aging.

We have added photos of skin, muscle, and intestine of adult fish to Figure 5 to more clearly show decreased expression in adult tissues, then supported by the qPCR results we present. The samples are all mixed pools from several individuals. These numbers are detailed in the figure legend.

Reviewer #2:

In this study, Li et al. identify celsr1a as the causative gene underlying mutant defects in skin and muscle homeostasis reminiscent of phenotypes that would be expected in progeric zebrafish. The authors find reduced survivorship of mutants and also defects at histological, cellular, and molecular levels in skin, slow muscle and gut. They clone the affected gene, verifying its identity by a combination of mapping, non-complementation screening, and targeted mutagenesis, and they generate an insertional GFP line to examine expression. Li et al. further provide evidence for defects in stem cell maintenance and cycling, identify a scale phenotype implicating celsr1a in PCP pathway signaling in zebrafish, and find that a caloric restriction diet partially ameliorates the viability phenotype, as well as behavioral phenotypes, though not the overt morphological defects. Finally the authors detect an upregulation of senescence associated genes as well as celsr homologues in the context of caloric restriction.

This is an interesting study that identifies zebrafish as a tractable model for studies of aging phenotypes. In addition to the analyses presented, the work raises, but does not answer, a variety of interesting mechanistic questions (e.g., how precisely celsr1a mutation leads to mitochondrial or other cellular defects; how caloric restriction specifically leads to upregulation of homologues and other aging genes, and whether upregulation of these genes indeed explains the partial rescue of survivorship). These and similar sorts of questions would be nice to answer but, given the time frame involved, also seem to be outside the reasonable scope of this study.

The concerns about mechanism are on point. As stated in the general response to review (above) this is the nature of establishing a broad phenotype such as aging which affects many tissues. The aging field has spent decades trying to pin point a mechanistic regulation of even the ‘big hitter’ genes such as Sirt or FoxO with new mechanisms appearing almost daily. We go to extended lengths to parse out early versus later effects in manifestation of the aging phenotype of a novel zebrafish model to look at resident stem cell maintenance. These findings, through characterization of this new mutant, provide the foundations for extended analysis on detailed cell behavior regulating aging of these tissues.

Reviewer #3:

In "Celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish" by Li and colleagues, the authors undertake a genetic screen to identify new mutants exhibiting features of premature aging and identify such a phenotype caused by mutations in the gene celsr1a. The overall goal of the paper is important in both identifying potentially novel pathways involved in aging and stem/progenitor cell maintenance in adult tissues as well as in exploring the utility of the vertebrate zebrafish model in characterizing the underlying molecular mechanisms. While the text and figures are extensive, the depth of the analysis on each major aspect of the mutant phenotype is, generally, either preliminary or has important limitations in interpretation due to experimental issues.

Overall, the manuscript would seem better served to focus on fewer phenotypes/related pathways and investigate these in greater depth and with increased rigor. e.g. In the Results sections, the PCP phenotype almost seems out of place initially as the paper is set up to discuss aging and stem cell maintenance, and then has this extensive section on epidermal appendages (all nicely presented, but lacking context). The Discussion then does have a lengthy section on PCP pathway in the stem cell context, but the current structure of the paper is confusing and new mechanistic insights that can be drawn are limited with the current data.

We thank the reviewer for the thoughtful consideration of the papers strengths and potential weaknesses. We do appreciate the need to ‘dive-deep’ in mechanisms. As addressed in the more global response above, this paper was to define the novelty of the use of forward genetics to address aging in zebrafish – something not shown previously. By necessity, the manuscript was framed to address if this mutant is reflecting aging phenotypes, and if so, general models of aging that it might be working through. As such, we touched on a wide array of metabolically active tissues and the effect on their maintenance. Of these, the intestine was best suited for analysis of cell type and stem cell populations. But as stated by reviewer 1, even there the markers and prior evidence from the zebrafish gut are not as robust as in the mouse. Our data pushed quite far given these limitations, but this was not intended to be a paper on intestine and the specifics of signaling between different cell populations in development, homeostasis and aging. Further analyses on aging in particular tissues are currently ongoing not only in my lab but several others in the community to assess tissue level detail with specialized tools that these labs have generated. It is precisely the aim of the paper and research agenda overall to establish a zebrafish aging model that can foster such future work. I think we have done well in our design of the approach and present extremely novel data both for the aging field and zebrafish modeling of clinically important phenotypes. Thus, while we feel that the diversity of characterization is essential, in response to the reviewer’s comments we have worked to providing contextual statements as to why.

Other major points include:

1) How are the authors normalizing expression data to show decreased ΔNp63 and pax7a? Agreed skin is thinner and slow muscle is thinner. Doing bulk qPCR on these tissues could be misleading since the total fraction of cells of each type is not the same in each sample.

First question: we have normalized expression data using two housekeeping genes which show consistent expression through embryogenesis and late stages of development (see Author response image 1). Following as a response to second comment, as even thin epidermis or muscle tissue will have stem cells, we are using qPCR of cell specific markers as support of histological data showing fewer stem cells.

The in situ staining in the gut for putative stem cell markers Sox2 and olfm4 seems a better assessment for overall decreased numbers of cells expressing these markers.

We agree with the reviewer that pairing this with analysis of spatial gene expression provides very clean assessment.

Also, another control should be 2.5-year-old WT skin that, as shown in Figure 2E, is thinner than WT at 1 year. What happens to ΔNp63 expression levels? Evaluating ΔNp63 expression levels by qPCR in aged WT skin (which is also thin) would sufficiently address/aid in the interpretation of the ΔNp63 qPCR levels of the young WT and mutant skin.

We have done this experiment, see Author response image 2. The results are comparable to the levels seen in the mutant supporting our argument. The histology is the primary evidence supporting the loss of stem cells and pathology. We follow with the qPCR as supporting evidence. While we agree the p63 data is consistent with the argument that the mutant resembles old phenotypes, we did not have enough samples to perform the same for each pax7, p21 and claudin b. Thus, we feel that inclusion of these data without the rest will cause difficulties in the narrative.

Author response image 2
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2) Most likely, celsr1a protein is not being made, but the Western blot in Figure 4H lacks loading controls and makes interpretation difficult. Further, what is the predicted size of the protein, and how does it match with the multiple bands identified? Why is the major band in frnt Mc lane higher than the major band in wt Mc? Is this a cross-reactive protein in the Mc frnt sample, which is expected to not make viable celsr1a protein? I would support that the Western needs a loading control, and Materials and methods section needed describing/showing validation of the antibody used, if the Western is ultimately included.

In response to this concern of the reviewer, we have removed the Western from this figure. As stated in reviewer comments, the analysis does not really add anything given the number and nature of alleles with comparable phenotype which is clearer evidence of loss-of-function.

3) In principle, the knock-in of GFP to the celsr1a locus is an elegant way to monitor its expression, but the statement "The identified line, celsr1aGFP, recapitulates early expression seen by whole mount in situ (1dpf, Figure 5C)" requires a supporting in situ to the endogenous transcript in this line. I think to claim that the GFP knock-in reporter recapitulates the endogenous cels1ra expression pattern, an in situ to endogenous cels1ra (in situ probe published) is needed compared to reporter GFP (fine if separate sib embryo done by fluorescent microscopy, no need for GFP double in situ).

We have included in the figure a whole mount in situ of celsr1a expression at comparable early stages. Later stages the signal becomes faint. This is comparable to published in situs and also that found on ZFIN.

4) The use of label retention as a functional read-out for stem/progenitor cells in the gut is interesting, but why are Anterior BrdU cells/rugae increased at 48 hours of chase in frnt mutants relative to earlier time points? Even with decreased proliferation in the frnt mutants, should not all label-retaining populations stay constant or decreased over time? There may be variability in the degree of baseline labeling for different fish/replicates, but otherwise seems pretty consistent in other regions of the gut and at other time points in other conditions. A comment is sufficient in the Results/Discussion explaining the changes in label retention over time between the earliest and 48 hour time point for the mutant group. How is there increase in label retaining cells over time from 5 to 48 hours in the anterior segment in the cels1ra group? Technical issue? Perhaps different regions were assessed at the different time point?

We believe this is a technical issue and thank the reviewer for their insight in seeing this. In review of the data stemming from the reviewer comment, we noticed that the 48 hour time point may have fewer rugae than other time points. This seems to be limited to only that group as all the other controls were comparable. We revisited means of normalizing between individuals that may compensate for this, however analysis using both BrdU+ cells per/ total DAPI positive cells as well as overall area, and have found that Rugae is the most robust means of normalizing the data – as total cell # as well as area was too variable within a sample. This is probably due to proliferating cells being concentrated at the valleys between rugae. We will note the potential confounding effect of low rugae # in interpreting the data. This is now found in Materials and methods and in the legend of Figure 7—figure supplement 2.

[Editors' note: further revisions were suggested prior to acceptance, as described below.]

The manuscript has been improved but there are some remaining issues that need to be addressed before acceptance, as outlined below:

In response to reviewer 1's concern 1, you added new data on intestinal goblet cell number (Figure 9K, L). The new data shows that the frnt genotype does not alter the observed increase in goblet cell number that occurs with CR. This is useful new data, but there appears to be no statistical analysis to support the claim that CR increases goblet cell number (for either genotype or intestinal region). Please add analysis of statistical significance to support this claim, or state in the legend that those differences did not reach statistical significance. Also, there is no panel M in this figure anymore, so please edit the figure legend accordingly.

We have added statistical analysis showing significant difference in goblet cell number after CR treatment in both middle and posterior regions. We have added notation of significance and added details to the figure legend. We thank the editor in noticing the leftover text from process of review and we have deleted the citation of panel M.

https://doi.org/10.7554/eLife.50523.sa2

Article and author information

Author details

  1. Chunmei Li

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Conceptualization, Resources, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared

  2. Carrie Barton

    Department of Environmental and Molecular Toxicology, Oregon State University, Sinnhuber Aquatic Research Laboratory, Corvallis, United States
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared

  3. Katrin Henke

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1282-3616

  4. Jake Daane

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Data curation, Formal analysis
    Competing interests
    No competing interests declared

  5. Stephen Treaster

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Data curation, Software, Formal analysis, Methodology, Writing - review and editing
    Competing interests
    No competing interests declared

  6. Joana Caetano-Lopes

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Data curation, Formal analysis, Investigation, Visualization, Methodology
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0310-4641

  7. Robyn L Tanguay

    Department of Environmental and Molecular Toxicology, Oregon State University, Sinnhuber Aquatic Research Laboratory, Corvallis, United States
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared

  8. Matthew P Harris

    1. Department of Genetics, Harvard Medical School, Boston, United States
    2. Department of Orthopedics, Boston Children’s Hospital, Boston, United States
    Contribution
    Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Project administration
    For correspondence
    matthew.harris@childrens.harvard.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7201-4693

Funding

Ellison Medical Foundation

  • Matthew P Harris

Glenn Foundation for Medical Research

  • Matthew P Harris

National Institutes of Health (2R01DE019837-09)

  • Matthew P Harris

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

Work was supported by Ellison Medical Foundation, and Glenn Foundation awards to MPH and partially supported by grant NIH 2R01DE019837-09 (JTS/MPH). The authors wish to thank expert help of Dr. Heinz Schwartz and Iris Koch (Max Planck for Developmental Biology) for electron microscopy assistance and Ines Gehring for assistance in early positional mapping of the frnt mutant.

Ethics

Animal experimentation: This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocols of Boston Children's Hospital #3215.

Senior Editor

  1. Didier YR Stainier, Max Planck Institute for Heart and Lung Research, Germany

Reviewing Editor

  1. John F Rawls, Duke University School of Medicine, United States

Reviewer

  1. David M Parichy, University of Virginia, United States

Version history

  1. Received: July 24, 2019
  2. Accepted: January 24, 2020
  3. Accepted Manuscript published: January 27, 2020 (version 1)
  4. Version of Record published: February 10, 2020 (version 2)

Copyright

© 2020, Li et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Chunmei Li
  2. Carrie Barton
  3. Katrin Henke
  4. Jake Daane
  5. Stephen Treaster
  6. Joana Caetano-Lopes
  7. Robyn L Tanguay
  8. Matthew P Harris
(2020)
celsr1a is essential for tissue homeostasis and onset of aging phenotypes in the zebrafish
eLife 9:e50523.
https://doi.org/10.7554/eLife.50523

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