1. Developmental Biology

Zebrafish macrophage developmental arrest underlies depletion of microglia and reveals Csf1r-independent metaphocytes

  1. Laura E Kuil
  2. Nynke Oosterhof
  3. Giuliano Ferrero
  4. Tereza Mikulášová
  5. Martina Hason
  6. Jordy Dekker
  7. Mireia Rovira
  8. Herma C van der Linde
  9. Paulina MH van Strien
  10. Emma de Pater
  11. Gerben Schaaf
  12. Erik MJ Bindels
  13. Valerie Wittamer  Is a corresponding author
  14. Tjakko J van Ham  Is a corresponding author
  1. Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Netherlands
  2. Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université Libre de Bruxelles (ULB), Belgium
  3. Laboratory of Cell Differentiation, Institute of Molecular Genetics of the Czech Academy of Sciences, Czech Republic
  4. Department of Hematology, Erasmus University Medical Center, Netherlands
  5. WELBIO, ULB, Belgium
https://doi.org/10.7554/eLife.53403
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Cite this article
  1. Laura E Kuil
  2. Nynke Oosterhof
  3. Giuliano Ferrero
  4. Tereza Mikulášová
  5. Martina Hason
  6. Jordy Dekker
  7. Mireia Rovira
  8. Herma C van der Linde
  9. Paulina MH van Strien
  10. Emma de Pater
  11. Gerben Schaaf
  12. Erik MJ Bindels
  13. Valerie Wittamer
  14. Tjakko J van Ham
(2020)
Zebrafish macrophage developmental arrest underlies depletion of microglia and reveals Csf1r-independent metaphocytes
eLife 9:e53403.
https://doi.org/10.7554/eLife.53403
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Abstract

Macrophages derive from multiple sources of hematopoietic progenitors. Most macrophages require colony-stimulating factor 1 receptor (CSF1R), but some macrophages persist in the absence of CSF1R. Here, we analyzed mpeg1:GFP–expressing macrophages in csf1r-deficient zebrafish and report that embryonic macrophages emerge followed by their developmental arrest. In larvae, mpeg1+ cell numbers then increased showing two distinct types in the skin: branched, putative Langerhans cells, and amoeboid cells. In contrast, although numbers also increased in csf1r-mutants, exclusively amoeboid mpeg1+ cells were present, which we showed by genetic lineage tracing to have a non-hematopoietic origin. They expressed macrophage-associated genes, but also showed decreased phagocytic gene expression and increased epithelial-associated gene expression, characteristic of metaphocytes, recently discovered ectoderm-derived cells. We further demonstrated that juvenile csf1r-deficient zebrafish exhibit systemic macrophage depletion. Thus, csf1r deficiency disrupts embryonic to adult macrophage development. Zebrafish deficient for csf1r are viable and permit analyzing the consequences of macrophage loss throughout life.

eLife digest

Immune cells called macrophages are found in all organs in the body. These cells are highly effective at eating and digesting large particles including dead cells and debris, and microorganisms such as bacteria. Macrophages are also instrumental in shaping developing organs and repairing tissues during life.

Macrophages were, until recently, thought to be constantly replenished from cells circulating in the bloodstream. However, it turns out that separate populations of macrophages become established in most tissues during embryonic development and are maintained throughout life without further input.

Previous studies of zebrafish, rodents and humans have shown that, when a gene called CSF1R is non-functional, macrophages are absent from many organs including the brain. However, some tissue-specific macrophages still persist, and it was not clear why these cells do not rely on the CSF1R gene while others do.

Kuil et al. set out to decipher the precise requirement for the CSF1R gene in macrophage development in living zebrafish. The experiments used zebrafish that make a green fluorescent protein in their macrophages. As these fish are transparent, this meant that Kuil et al. could observe the cells within the living fish and isolate them to determine which genes are switched on and off. This approach revealed that zebrafish with a mutated version of the CSF1R gene make macrophages as embryos but that these cells then fail to multiply and migrate into the developing organs. This results in fewer macrophages in the zebrafish’s tissues, and an absence of these cells in the brain.

Kuil et al. went on to show that new macrophages did emerge in zebrafish that were about two to three weeks old. However, unexpectedly, these new cells were not regular macrophages. Instead, they were a new recently identified cell-type called metaphocytes, which share similarities with macrophages but have a completely different origin, move faster and do not eat particles.

Zebrafish lacking the CSF1R gene thus lose nearly all their macrophages but retain metaphocytes. These macrophage-free mutant zebrafish constitute an unprecedented tool for further studies looking to discriminate the different roles of macrophages and metaphocytes.

Introduction

Tissue resident macrophages (TRMs) are phagocytic immune cells that also contribute to organogenesis and tissue homeostasis. Therefore, perturbations in TRM production or activity can have detrimental consequences ranging from abnormal organ development to neurodegeneration and cancer (Cassetta and Pollard, 2018; Mass et al., 2017; Yang et al., 2018; Zarif et al., 2014). In vertebrates, including mammals, birds, and fishes, TRMs derive from successive waves of hematopoiesis that initiate early during development reviewed in: McGrath et al. (2015). The initial two embryonic waves give rise to primitive macrophages, born in the embryonic yolk sac in mammals and birds or the rostral blood island (RBI) in fishes, and erythro-myeloid precursors (EMPs), which also originate in the yolk sac and expand in the fetal liver of mammals or emerge from the posterior blood island (PBI) of fishes. A third embryonic wave that generates definitive hematopoietic stem cells (HSCs) begins in the aorta-gonad-mesonephros (AGM) region, where HSCs bud from the hemogenic endothelium (Bertrand et al., 2010; Boisset et al., 2010; Kissa and Herbomel, 2010). In zebrafish, newly born hematopoietic stem cells (HSCs) migrate to the caudal hematopoietic tissue (CHT), and later seed hematopoietic organs such as the kidney marrow, which is equivalent to the bone marrow in mammals (Henninger et al., 2017; Murayama et al., 2006). Most TRM populations are established by the end of fetal life and are subsequently maintained through the proliferation of local progenitors or through the partial contribution of bone marrow-derived cells (Liu et al., 2019).

During their colonization of the embryo, macrophages acquire distinct properties adapted to their microenvironment and allowing them to execute tissue niche-specific functions (Bennett and Bennett, 2020; Gosselin et al., 2014; Gosselin et al., 2017; Lavin et al., 2014; Matcovitch-Natan et al., 2016). The ontogeny of TRMs within a specific organ is heterogeneous and thought to be determined by the availability of the niche and accessibility of the host tissue reviewed in:Guilliams et al. (2020). The microenvironment has a major role in determining TRM phenotype and function, largely regardless of ontogeny, but giving rise to heterogeneous populations of cells (Lavin et al., 2014; Shemer et al., 2018; van de Laar et al., 2016).

Colony stimulating factor 1 receptor (CSF1R) is an evolutionarily conserved regulator of macrophage development, directly inducing DNA and protein synthesis as well as proliferation upon ligand binding (Hume et al., 2016; Tushinski and Stanley, 1985). Recessive and dominant mutations in CSF1R can cause severe brain disease (Konno et al., 2018a; Konno et al., 2018b; Oosterhof et al., 2019; Rademakers et al., 2012), associated with lower microglia density (Oosterhof et al., 2018), but whether such mutations affect other myeloid cells, and how, remains unknown. Recently, patients carrying homozygous mutations in CSF1R and presenting with both leukodystrophy and osteopetrosis, phenotypes attributed to an absence of TRMs in the brain and bone, have been described (Oosterhof et al., 2019). In mice and rats, the absence of CSF1R results in a complete lack of microglia, Langerhans cells (LCs), and osteoclasts, while other subsets of TRMs are affected to varying degrees (Cecchini et al., 1994; Dai et al., 2002; Erblich et al., 2011; Ginhoux et al., 2010; Oosterhof et al., 2018; Pridans et al., 2018). It is unknown whether CSF1R is required for the development of early, embryonic TRM precursors and it remains elusive as to why only specific TRM populations are lacking in the absence of Csf1r. Furthermore, it is unclear whether macrophages that persist in Csf1r-deficient mice and rats have a normal macrophage phenotype. Detailed analysis of the Csf1r mutant phenotypes could therefore contribute to the identification of specific and universal features of organism-wide macrophage development. In addition, it is important to understand the systemic effects of CSF1R inhibition on macrophages, as inhibition of CSF1R is a clinical strategy for the intentional depletion of macrophages in various disease contexts, including Alzheimer’s disease, brain injury and cancer (Edwards et al., 2019; Lloyd et al., 2019; Tap et al., 2015; Webb et al., 2018).

Zebrafish are particularly suitable to study immune cell development in vivo as they develop ex utero, are genetically tractable, and are transparent during early development (Ellett and Lieschke, 2010; Gore et al., 2018). We used our previously generated zebrafish line that is deficient for both csf1ra and csf1rb paralogs (csf1rDM), since the phenotypes of these fish, such as osteopetrosis and a lack of microglia, resemble those observed in mice, rats and humans (Caetano-Lopes et al., 2020; Chatani et al., 2011; Dai et al., 2002; Guo et al., 2019; Meireles et al., 2014; Oosterhof et al., 2019; Oosterhof et al., 2018; Pridans et al., 2018). The strong homology of basic developmental cellular processes has proven this model as indispensable for the identification of novel basic features of immune cell development and function (Barros-Becker et al., 2017; Bertrand et al., 2010; Espín-Palazón et al., 2014; Kissa and Herbomel, 2010; Madigan et al., 2017; Tamplin et al., 2015; Tyrkalska et al., 2019).

Here, we aimed to determine how and when loss of Csf1r affects macrophage development. We found that primitive myelopoiesis is initially csf1r-independent, although csf1rDM embryonic macrophages subsequently ceased to divide and failed to colonize embryonic tissues. Surprisingly, a detailed examination of csf1rDM larval zebrafish revealed another wave of mpeg1+ cells in the skin from 15 days of development onwards, but these cells lacked the branched morphology typical of Langerhans cells (He et al., 2018). Using fate mapping and gene expression profiling, we identified csf1rDM mpeg1+ cells as metaphocytes, a population of ectoderm-derived macrophage-like cells recently reported in zebrafish (Alemany et al., 2018; Lin et al., 2019). Extending our analyses, we further demonstrated that adult csf1rDM fish exhibit a global defect in macrophage generation. In conclusion, our study highlights distinct requirements for Csf1r during macrophage generation and metaphocyte ontogeny, resolving part of the presumed macrophage heterogeneity and their sensitivity to loss of Csf1r.

Results

Zebrafish embryonic macrophages are formed independently of csf1r but display migration and proliferation defects

To determine whether the earliest embryonic macrophages, called primitive macrophages, are still formed in the absence of Csf1r signaling, we analyzed csf1rDM zebrafish embryos carrying the macrophage transgenic reporter mpeg1:GFP (Ellett et al., 2011; Oosterhof et al., 2018). Zebrafish primitive macrophages are born in the rostral blood island on the yolk and can be detected by mpeg1:GFP expression from 22 hr post fertilization (hpf) as they migrate on the yolk ball—equivalent to the mammalian yolk sac—and progressively invade peripheral tissues (Herbomel et al., 1999; Herbomel et al., 2001). These constitute the main macrophage population during the first 5 days of development (Wu et al., 2018). Indeed, in vivo imaging of GFP-expressing macrophages in control embryos showed that, at 24 hpf, ~13 mpeg1+ primitive macrophages were present on the yolk, increasing to ~49 cells at 42 hpf (Figure 1A, Video 1; Ellett et al., 2011). In csf1rDM embryos, even though primitive macrophage numbers were slightly lower at 24 hpf (~5 mpeg1+ cells), macrophage numbers did not significantly differ from controls at 42 hpf (~46 mpeg1+ cells) (Figure 1A). This indicates that Csf1r is dispensable for the emergence of primitive macrophages.

Figure 1 with 1 supplement see all
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mpeg1+ primitive macrophages on the yolk in control and csf1rDM larvae.

(A) Representative images of mpeg1+ macrophages located on the yolk (29 hpf) and quantification of mpeg1+ cell numbers over time. (B) Representative images of mpeg1+ positive primitive macrophages at 52 hpf. The dotted line indicates the border between the yolk (I) and the embryonic tissue (II). Quantification of mpeg1+ macrophages that colonized the tissue (II) and primitive macrophages located on the yolk (I). (C) Representative maximum projection of long term time lapse imaging of control and csf1rDM larvae showing migratory trajectories of mpeg1+ macrophages. (D) Snap shots from dividing mpeg1+ primitive macrophages in control and csf1rDM larvae (~36 hpf) and quantification of proliferative primitive macrophages during 16 hr time lapse imaging (~32 hpf – 48 hpf) (control n = 5, csf1rDM n = 3). (E) Quantification of fraction proliferative embryonic macrophages during 16 hr time lapse imaging (~56 hpf – 72 hpf) in control and csf1rDM larvae (n = 3 per group). Scale bars represent 100 µM. Error bars represent standard deviation. Statistical significance is calculated using one-way ANOVA with Dunnett’s multiple comparison test or Student’s t-tests *<0.05 **<0.01 ***<0.001. mpeg1+ cells were quantified on one side of the embryo (right side). Each dot represents one fish.

Video 1
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Time-lapse recording of primitive macrophages on the yolk from 32 to 48 hpf showing frequent proliferative events in both control and csf1rDM embryos.

We next investigated whether embryonic macrophages in csf1rDM animals retained the ability to invade peripheral tissues. At 52 hpf, 50% of mpeg1+ cells had exited the yolk epithelium in controls and were observed in the periphery (Figure 1B). In contrast, only 15% of all macrophages were found outside of the yolk in csf1rDM embryos. At this stage, macrophage numbers were significantly lower in csf1rDM larvae than controls (Figure 1B). Migration trajectories of embryonic macrophages into the embryonic tissues, as shown by maximum intensity projections of images acquired over 16 hr, were more widespread in controls than csf1rDM and covered the entire embryo (Figure 1C, Video 2). Thus, although the generation of embryonic macrophages appeared independent of csf1r, after two days of development macrophage failed to expand in the csf1r mutants and their migration was reduced, suggesting functional deficits caused by the loss of Csf1r.

Video 2
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Time-lapse recording from 56 to 72 hpf, showing the colonization of the embryo by macrophages in control and the migration defect observed in csf1rDM embryos.

We hypothesized that the reduced macrophage numbers in csf1r mutants could be explained by a reduction in their proliferative activity. To test this, we performed live imaging on mpeg1+ cells and quantified cell divisions. Between 32 and 48 hpf, the proliferative rates were not significantly different between control (~12 events) and csf1rDM embryos (~10 events) (Figure 1D, Video 1). However, whereas control macrophages actively proliferated between 56 and 72 hpf (~11% of macrophages divided), csf1rDM macrophages did not (none of the macrophages divided) (Figure 1E). This indicates that the expansion of primitive macrophages is halted between 48 and 56 hpf. Thus, while the initial proliferation of emerging primitive macrophages occurs independent of csf1r, by 48 hpf Csf1r signaling becomes necessary for embryonic macrophage proliferation.

RNA-sequencing of embryonic macrophages reveals csf1r-independent core macrophage differentiation

To explore specific developmental and molecular processes affected by the loss of Csf1r signaling, and to discern a potential effect on proliferation, we performed RNA sequencing on macrophages isolated from 28 and 50 hpf mpeg1:GFP embryos using fluorescence-activated cell sorting (FACS). These time points were chosen to study the primitive macrophages soon after their emergence from the RBI (28 hpf) and as they subsequently transition to a tissue colonizing, migratory phenotype (50 hpf) (Figure 2A). Principal component analysis (PCA) of the macrophage gene expression data sets showed clustering of triplicate samples based on genotype (component 1) and developmental stage (component 2) (Figure 2B). This suggests that, even though gene expression differed between control and csf1rDM macrophages at both time points, most of the changes that occurred over time in control embryos also occurred in csf1rDM embryos (Figure 2B,C). To determine macrophage identity we analyzed the expression of genes highly expressed in macrophages, including genes used in zebrafish as macrophage markers (e.g. csf1ra, mfap4), chemokine and pathogen recognition receptors (e.g. marco, mrc1, tlr1), and myeloid transcription factors (e.g. irf8, spi1a, cebpb), but we did not observe major differences between genotypes (Figure 2D–E). Also, when we compared our gene expression profiles with a zebrafish macrophage expression profile determined by single cell RNA-seq (Tang et al., 2017), only ~5% of the reported 2031 macrophage-specific genes were differentially expressed in csf1rDM macrophages, suggesting Csf1r-independent expression of the majority of these macrophage-expressed genes (Figure 2F). Together, this shows that csf1r-deficient embryonic macrophages display a core gene expression profile similar to that seen in controls.

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RNA sequencing of primitive macrophages at different developmental stages reveals cell cycle arrest in csf1rDM macrophages from 2 dpf onward.

(A) Schematic representation of the experimental set-up. mpeg1+ cells were isolated from both control and csf1rDM larvae at 28 hpf and 50 hpf using FACS. These cells were used for RNA sequencing. (B) PCA analysis shows clustering of triplicates and segregation on genotype (component 1) and developmental stage (component 2). (C) Heat map showing all significantly differentially expressed genes (logFC > |1|; FDR < 0.01). (D) Counts per million (CPM) of ‘macrophage signature’ genes show high, non-differential expression in all groups (logFC > |1|; FDR > 0.01). (E) CPM values of ‘macrophage signature’ genes induced over time in control and csf1rDM macrophages (logFC > |1|; FDR < 0.01). (F) Volcano plot showing genes expression changes between control and csf1rDM at 28 hpf and 50 hpf respectively. Light grey: all reads, Black/Green/Orange: Macrophage/myeloid signature genes based on data from Tang et al. (2017) (Tang et al., 2017); Black: non-differentially expressed between controls and csf1rDM macrophages; Green: significantly upregulated in control macrophages; Orange: significantly upregulated in csf1rDM macrophages (logFC > |1|; FDR < 0.01). 4% and 5% of the macrophage genes were significantly differentially expressed between control and csf1rDM macrophages at 28 and 50 hpf respectively.

Impaired proliferation of embryonic csf1rDM macrophages is reflected in their transcriptome and proliferation is not restored in microglia

The nature of the differences in gene expression profiles between control and csf1rDM macrophages was studied by gene set enrichment analysis (GSEA). GSEA revealed that, at both time points, csf1rDM macrophages had lower expression of genes associated with RNA metabolism and DNA replication (Figure 3A), with transcripts encoding all components of the DNA replication complex being ~2 fold reduced (Figure 2—figure supplement 1 3B). In addition, csf1rDM macrophages showed lower expression of genes in GO classes related to cell cycle at 50 hpf (Figure 3A, Figure 2—figure supplement 1). Thus, at 28 hpf, DNA replication genes were downregulated, followed by a decrease in expression of genes involved in general cell cycle related processes at 50 hpf. Together, and in line with our in vivo findings, these analyses suggest that proliferation is reduced or halted in csf1rDM macrophages from 2 dpf onwards.

Figure 3
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Csf1r-deficient tissue resident macrophages (microglia) fail to proliferate.

(A) Bar graph showing the GO terms associated with enriched genes downregulated in csf1rDM macrophages (p<0,05). (B) Cartoon representing the vertebrate DNA replication complex, all components were significantly downregulated in csf1rDM macrophages. (C) Representative images and quantification of L-plastin/Edu double positive microglia at 5 dpf. Scale bar represents 25 µM. (D) Representative images, and quantification, of mpeg1+ macrophages in the anterior part of 5, 7 and 9 day old zebrafish and quantification of total number of macrophages at the imaged half of the total embryo. Mpeg1+ cells were quantified on one side of the embryo (right side). Error bars represent standard deviation. Statistical significance is calculated using one-way ANOVA with Dunnett’s multiple comparison test *<0,05 **<0,01 ***<0001. Each dot represents one fish.

Of the three Csf1r ligand genes, both csf1a and csf1b are expressed at 20 hpf, whereas il34 is not detectable at that time, barely detectable at 24 hpf, and moderately expressed at 36 hpf (Figure 2—figure supplement 1C). Therefore, it is possible that the reduced expression of cell cycle related genes in csf1rDM macrophages could be attributed largely to a lack of interaction between the two Csf1 ligands and Csf1r. Additionally, this suggests that these two ligands likely do not influence the specification of embryonic macrophages at this stage. Previous analyses of macrophage development in il34-/- deficient zebrafish around 30 hpf showed primarily a deficiency in the migration of macrophages across the embryo and into the brain (Kuil et al., 2019; Wu et al., 2018).

Microglia are the first TRM population present during embryonic development and they are highly proliferative during this time (Ginhoux et al., 2010; Herbomel et al., 2001; Xu et al., 2016). Therefore, we determined whether loss of Csf1r signaling also affects microglial proliferation. Pcna/L-plastin double immunostaining in control embryos showed that total microglia numbers increase between 2 and 4 dpf. At 2 dpf almost no macrophages in the brain are proliferating, whereas ~20% of the population is at 4 dpf (Figure 2—figure supplement 1B). In csf1rDM larvae a few microglia were occasionally present in the brain between 2 and 4 dpf, however none were Pcna+ (Figure 2—figure supplement 1B). EdU pulse labeling experiments, marking cells that proliferated between 4 and 5 dpf, showed no EdU+ microglia in csf1r mutants, suggesting that csf1r-deficient microglia fail to proliferate (Figure 3C). Thus, proliferation is impaired in both csf1rDM primitive macrophages and early microglia.

Next, we assessed the presence of macrophages in developing csf1rDM animals by in vivo fluorescence imaging of one lateral side of entire, individual larvae on 4 consecutive days, starting at 5 dpf. We visualized ~450 macrophages in control animals, whereas csf1rDM animals contained >4 fold fewer (~100) (Figure 3D). Over the next 4 days, macrophage numbers in both groups remained stable (Figure 3D). This suggests that, at this stage, there is neither proliferative expansion of embryonic macrophages nor supply of macrophages from an alternative source, causing macrophage numbers in csf1rDM larvae to remain much lower than those in controls up to 9 dpf. Together these data indicate that, onwards from the initiation of embryonic tissue colonization, proliferative expansion of macrophages remains halted in csf1rDM animals.

csf1rDM skin lacks highly branched putative Langerhans cells

Given that macrophages are produced by consecutive waves of primitive and definitive myelopoiesis, and that embryonic csf1rDM macrophages ceased to proliferate, we wondered whether macrophages would be present at later developmental stages in csf1rDM zebrafish. By live imaging at 20 dpf we detected mpeg1+ cells in the skin of control animals, as expected, but also in the skin of csf1rDM animals (Figure 4A). To pinpoint the emergence of these mpeg1+ cells we live imaged entire zebrafish unilaterally from 8 until 24 dpf (Figure 4B). Between 10 and 13 dpf, control mpeg1+ cell numbers increased ~1.6 fold and csf1rDM mpeg1+ cell numbers increased 2.4 fold (Figure 4B). From 15 to 17 dpf onwards, mpeg1+ cell numbers continued to increase exponentially both in controls and in csf1rDM fish. As we noticed differences in the size of the zebrafish, as they grew older, both among controls and mutants, we also plotted mpeg1+ cell numbers against fish size (Figure 4B). Larval zebrafish rapidly grow in size, and their size often correlates better with developmental hallmarks than their age in days (Parichy et al., 2009). In larval fish smaller than 5 mm, mpeg1+ cell numbers did not increase, whereas in fish that were larger than 5 mm mpeg1+ cell numbers correlated almost linearly with size. Taken together, we show that particularly in larvae older than 15 dpf, or over 5 mm in size, mpeg1+ cell numbers increase significantly, independent of csf1r mutation status.

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Two morphologically distinct populations of mpeg1+ cells in emerge from 15 dpf in the zebrafish skin.

(A) Representative images of a control and csf1rDM zebrafish at 20 dpf. Dotted line represents the outline of the fish and its eye. (B) Quantification of the total number of mpeg1+ cells at one unilateral side of the fish at different time points between 8 and 24 dpf. The number of mpeg1+ cells was manually counted from the unilateral side presented in panel A. Plot showing the relationship between number of mpeg1+ cells and fish size. Each dot represents one fish. (C) Representative images of mpeg1+ cells in different body regions at 22 dpf showing differences in morphology between controls and csf1rDM or il34-/-mpeg1+ cells (n = 3 per group). Error bars represent standard deviation. Mpeg1+ cells were quantified on one side of the embryo (right side).

Despite the overall similar kinetics of mpeg1+ cell emergence, we observed major morphological differences in these cells between control and csf1rDM animals. In the skin of 22 dpf control zebrafish, we found two distinct cell morphologies: those presenting with a branched and mesenchymal cell shape reminiscent of mammalian Langerhans cells, the macrophage population in the epidermis, and those that display a compact, amoeboid morphology with short, thick, primary protrusions (Figure 4C). In 22 dpf csf1rDM fish, only the more amoeboid cell type was present. These persisting amoeboid mpeg1+ cells in csf1r mutant animals could represent a subtype of macrophages, or skin metaphocytes, a newly identified macrophage-like cell type (Alemany et al., 2018; Lin et al., 2019).

Metaphocytes are ectoderm-derived cells that display gene expression overlapping partly with macrophages, including mpeg1, but with much lower expression of phagocytosis genes; these cells also lack a phagocytic response upon infection or injury (Alemany et al., 2018; Lin et al., 2019). As metaphocytes have also been reported to migrate faster than skin macrophages and morphologically resemble the mpeg1+ cells that remain in csf1rDM fish, we used time-lapse imaging and showed that, both in controls and in csf1rDM fish, the smaller, amoeboid mpeg1+ cells were highly motile (Video 3; Lin et al., 2019). In contrast, the branched mpeg1+ cells that were found only in controls presented long, continuously extending and retracting protrusions and an evenly spaced distribution, but were largely confined to their location during 3 hr imaging periods. These highly branched macrophages, which were absent in csf1rDM fish, were located in the skin epidermis and, based on their location, morphology, migration speed, and behavior, may represent the zebrafish counterpart to mammalian Langerhans cells (Video 3 Lugo-Villarino et al., 2010). In support of this notion, branched mpeg1+ cells were hardly detected in the skin of zebrafish deficient for interleukin-34 (Figure 4—figure supplement 1A; 4C), the Csf1r ligand that selectively controls the development of Langerhans cells in mice (Greter et al., 2012; Wang et al., 2012). In larval zebrafish, csf1a and csf1b expression were detected in skin (Figure 2—figure supplement 1), more specifically in interstripe iridophores and hypodermal and fin cells (Patterson and Parichy, 2013). Although we found that il34 was also expressed in adult skin, this expression was about 10-fold lower than that of csf1a or csf1b (Figure 2—figure supplement 1D). However, our in vivo imaging data suggests that the loss of Il34, but not of both Csf1a and Csf1b, affects branched skin macrophages in particular (Figure 4—figure supplement 1B).

Video 3
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3 hr time-lapse recordings of macrophages in the skin showing branched, mesenchymal macrophages and non-branched, amoeboid metaphocytes in control fish and only non-branched, amoeboid metaphocytes in csf1rDM fish.

Remaining mpeg1+ cells in csf1rDM skin are metaphocytes

We reasoned that macrophages, and/or possibly Langerhans cells, could be absent in csf1rDM and il34 mutant skin, and that remaining mpeg1+ cells may be metaphocytes. Unlike macrophages, metaphocytes are of non-hematopoietic, likely ectodermal origin (Lin et al., 2019). We recently proposed that skin macrophages and metaphocytes, based on these different ontogenies, could be discriminated in the adult zebrafish using the Tg(kdrl:Cre; ßactin2:loxP-STOP-loxP-DsRed) fate-mapping model that labels EMPs, HSCs and their progenies (Bertrand et al., 2010; Ferrero et al., 2018). Genetic, permanent labeling with DsRed of adult leukocytes, including branched skin macrophages is induced by constitutive expression of Cre recombinase in endothelial cells and hemogenic endothelium (Bertrand et al., 2010). As suggested by restricted expression of the metaphocyte marker cldnh in mpeg1-GFP+DsRed- cells, non-hematopoietic metaphocytes lack DsRed labeling (Ferrero et al., 2020). The presence or absence of DsRed expression could thus be used to discriminate between metaphocytes (GFP+DsRed-) and macrophages (GFP+DsRed+). Of note, a possible caveat is that mpeg1+ primitive macrophages, which derive directly from kdrl-negative mesoderm, are also not marked by DsRed in this setting, which could complicate the interpretation of results. However, as we previously documented, there seems to be no contribution from primitive hematopoiesis to mpeg1-expressing cells in the adult skin (Ferrero et al., 2020). In addition, primitive macrophages appear virtually absent in Csf1r-deficient zebrafish, thus making this approach suitable to address the identity of mpeg1+ cells in csf1rDM skin. We generated csf1r-deficient animals carrying these three transgenes and examined their skin by confocal imaging. In control adult zebrafish skin, populations both of GFP+DsRed+ and of GFP+DsRed- cells were present, while only GFP+DsRed- cells could be detected in csf1rDM animals (Figure 5A). This phenotype was further validated by flow cytometry analysis, showing a ~ 90% decrease in the GFP+DsRed+ population in csf1rDM zebrafish skin but no change in the frequency of GFP+DsRed- cells (Figure 5B). Collectively, these results suggest that the generation of skin definitive macrophages is largely Csf1r-dependent and point to metaphocytes as the remaining mpeg1+ cells in csf1rDM skin.

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Amoeboid mpeg1+ cells in the zebrafish skin are of non-hematopoietic origin and have a metaphocyte transcriptome.

(A) Immunofluorescence on manually dissected scales from adult skin of control and csf1rDM mpeg1:EGFP +; kdrl-induced-DsRed+ adults (4 mpf). Stars: single-positive (SP) cells; white arrowheads: double-positive (DP) cells. (B) FACS analysis on cells from the adult skin (4 mpf, n = 3 per group) and quantification. GFP+DsRed-=mpeg1+ only, GFP+DsRed+=mpeg1+/kdrl-induced-DsRed+. (C) PCA analysis showing segregatin based on cell type (PC1) and genotype (PC2). (D) Volcano plot showing gene expression changes between control GFP+DsRed+ versus GFP+DsRed- cells. Light grey: DGE of all genes, Green: DGE of genes enriched in metaphocytes logFC >2 (Lin et al., 2019); Orange: DGE of genes downregulated in metaphocytes logFC <2 (Lin et al., 2019). (E) Heat map showing the expression of metaphocyte signature genes. (F) Heat map showing the expression of phagocytosis and engulfment genes. (G) Venn diagram showing DGE between the three groups (logFC > |2|; FDR < 0.05).

To further characterize cell identity, we FAC-sorted GFP+DsRed+ and GFP+DsRed- cells from control fish skin and GFP+DsRed- cells from csf1rDM skin and performed bulk RNA sequencing. PCA shows clustering of duplicates and segregation of GFP+DsRed- and GFP+DsRed+ (PC1) and genotype (PC2) (Figure 5C). Consistent with their expected hematopoietic identity, GFP+DsRed+ cells expressed the pan-leukocyte marker ptprc (Figure 5—figure supplement 2A). In contrast, GFP+DsRed- cells were negative for this marker. To address whether GFP+DsRed- cells overlap with metaphocytes, we selected genes expressed at higher levels in zebrafish metaphocytes than in macrophages, LCs and neutrophils (Lin et al., 2019) (TPM logFC >2), and analyzed their expression in our data. This revealed that GFP+DsRed- cells display a robust ‘metaphocyte’ gene signature (e.g. cdh1, epcam, cldnh, cd4-1), regardless of their genotype (Figure 5D–E). Additionally, many genes involved in phagocytosis and engulfment were downregulated in GFP+DsRed- cells (e.g. mertka, havcr1, stab1, Figure 5F), as were genes that were previously shown to be expressed at lower levels in metaphocytes than in LCs and neutrophils (e.g. itgb7, cdk1, cmklr1, cebpb, Figure 5—figure supplement 2B). In line with the transcriptome similarities previously reported for metaphocytes and LCs, all cell populations in our analyses express mpeg1 as well as genes related to antigen presentation (mhc2dab, cd74a, cd83) (Figure 5—figure supplement 2A). Together, these findings validate the qualification of skin GFP+DsRed- cells as metaphocytes. Moreover, further analysis showed no major changes in the transcriptome of metaphocytes in the absence of csf1r, as only relatively few genes (359 out of 20.382) were found to differ significantly in expression between control and csf1rDM GFP+DsRed- cells (Figure 5G). Unexpectedly, many of these genes are involved in pigment cell differentiation. Taken together with our imaging analyses (Figures 4 and 5A), these data show that the skin of csf1rDM zebrafish lack mpeg1+ macrophages, but exclusively contain mpeg1+ metaphocytes, which are not reliant on Csf1r-signaling.

Csf1rDM fish lack most mononuclear phagocytes

We wondered whether the macrophage deficiency observed in the skin represents a general feature of csf1rDM fish. To address this question, we quantified total mpeg1+ cell numbers in 33 dpf and 1.5 months post fertilization (mpf) (juvenile zebrafish: between 30–90 dpf) control, csf1rDM and il34-/- fish by FACS (Figure 5—figure supplement 1). Fish deficient for il34 were included as an extra control, since they exhibit a selective loss of branched skin macrophages and contain lower embryonic microglia numbers, but retain other macrophage populations (Figure 4C; Kuil et al., 2019; Wu et al., 2018). Indeed, mpeg1+ cell numbers, with macrophage scatter properties, obtained from whole csf1rDM animals, were much lower than those in controls and il34 mutants (Figure 4—figure supplement 1A-B). These findings are analogous to results reported for various organs of Csf1r-deficient mice and rats (Dai et al., 2002; Pridans et al., 2018). We next performed bulk RNA-sequencing on the total population of mpeg1+ cells isolated from controls, csf1rDM, and il34-/- (Figure 6A). PCA showed clustering of triplicates and segregation based on genotype (component 1: csf1rDM versus controls/il34-/-, component 2: il34 mutants versus controls) (Figure 6B). In addition, gene expression profiling identified transcriptional programs consistent with phagocytic macrophages in control and il34-/-mpeg1+ cells, but profiles consistent with metaphocytes only in csf1rDM cells (Figure 6C–E). As overall il34-/- animals have a relatively small and selective macrophage depletion, we argue that this could have prevented the detection of a metaphocyte signature. Collectively, this suggests that csf1rDM fish specifically exhibit a profound deficiency in mononuclear phagocytes, whereas numerous remaining mpeg1+ cells appear to be metaphocytes rather than macrophages.

Figure 6
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RNA sequencing of juvenile mpeg1+ cells and FACS analysis of brain, liver and gut, shows systemic depletion of macrophages in csf1rDM zebrafish.

(A) Schematic representation of the RNA sequencing strategy. (B) PCA analysis shows clustering of triplicates and segregation on genotype (control/il34-/- vs. csf1rDM). (C) Heat map showing the expression of metaphocyte signature genes in control, il34-/- and csf1rDM mpeg1+ cells. (D) Volcano plot showing gene expression changes between control and csf1rDM at 1.5 mpf. Light grey: DGE of all geness, Green: DGE of some phagocytosis genes downregulated in csf1rDM mpeg1+ cells; Orange: DGE of genes enriched in metaphocytes (Lin et al., 2019). (E) Heat map showing phagocytosis and engulfment genes. (F–H) FACS analysis on cells from the adult (4 mpf) brain (F), liver (G) and gut (H) and quantifications. GFP+DsRed-=mpeg1+ only, GFP+DsRed+=mpeg1+/kdrl-induced-DsRed+.

We further tested this possibility by lineage-tracing and surveyed, through flow cytometry, the presence of GFP+DsRed+ macrophages and GFP+DsRed- metaphocytes among adult organs isolated from control and csf1rDM fish. As previously reported, in the zebrafish brain, primitive hematopoiesis-derived mpeg1+ microglia are completely replaced by HSC-derived mpeg1+ cells, and therefore all adult microglia, as well as CNS-associated macrophages are GFP+DsRed+ (Ferrero et al., 2018). In addition, the lack of GFP+DsRed- cells in the adult brain indicates that metaphocytes are not present in the central nervous system (Figure 6F). Brains of csf1rDM zebrafish were largely devoid of GFP+DsRed+ cells (Figure 6F), in line with our previous studies (Oosterhof et al., 2019; Oosterhof et al., 2018). Similarly, livers from control and csf1rDM animals contained solely GFP+DsRed+ cells, which were virtually absent in csf1rDM animals (Figure 6G). The intestine on the other hand contained both GFP+DsRed+ and GFP+DsRed- cells (Figure 6H). However, these GFP+DsRed+ cells were lost and GFP+DsRed- cell numbers were increased in csf1rDM. As the presence of metaphocytes was reported in skin but also in the intestine (Ferrero et al., 2020; Lin et al., 2019), intestinal GFP+DsRed- cells are likely also csf1r-independent metaphocytes. In all, mpeg1+ macrophages are largely Csf1r-dependent, whereas mpeg1+ cells present in the skin and intestine are Csf1r-independent non-hematopoietic metaphocytes (Figure 7).

Figure 7
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Schematic presentation of macrophage development in control and csf1r-deficient zebrafish.

Upper panels indicate development of macrophages, microglia and definitive macrophages and metaphocytes: embryonic macrophages (left), microglia in larval brain (middle) and macrophages and metaphocytes in larva >15 dpf. Lower panels indicate abnormalities found in macrophage development in csf1r-deficient zebrafish: embryonic macrophages fail to migrate across the embryo (left), fewer macrophages arrive in the brain, and fail to divide (middle), metaphocytes develop normally whereas macrophages are depleted from larval to adult stages.

Discussion

Here, we showed that embryonic macrophages, develop, proliferate, and also initially acquire macrophage behavior and gene expression profile independently of Csf1r. However, without functional Csf1r, these cells subsequently fail to distribute across the embryo and cease to expand in numbers. This phenotype explains particularly the strong effect on microglial precursors, as these invade the brain and expand in numbers early in embryonic development and microglia are absent throughout life in zebrafish, mice, rats and humans deficient for CSF1R. Around 15 days of age, however, a strong increase in mpeg1+ macrophages in skin was detected by in vivo imaging in control but also in csf1rDM animals. Nevertheless, skin of both csf1rDM and mutants for the Csf1r ligand Il34 lacked the branched macrophages, which were present in controls, and only contained amoeboid mpeg1+ cells. Based on their non-hematopoietic origin and shared transcriptome profile, we identified these cells as metaphocytes. As metaphocytes share markers, morphology, and gross behavior with macrophages, they are easily mistaken for macrophages. We further showed that csf1rDM adults lacked virtually all blood-derived mpeg1+ mononuclear phagocytes, revealing the presence of mpeg1+ metaphocytes in the gut, as well as in the skin. Our data shows that in zebrafish Csf1r is critical for generation of both embryonic and adult macrophages, but is dispensable for the development of metaphocytes. Therefore, csf1r-deficient zebrafish are macrophage-less in most organs, and as they are viable, enable us to study the in vivo consequences of the absence of macrophages for developmental and homeostatic cellular processes.

Two recent studies identified metaphocytes in zebrafish using distinct lineage tracing techniques, namely laser-mediated localized Cre-activation and CRISPR/Cas9 mediated genetic scarring followed by single cell DNA sequencing (Alemany et al., 2018; Levraud and Herbomel, 2019; Lin et al., 2019). Metaphocytes show reduced expression of engulfment genes, do not show a phagocytic response to injury or bacterial infection, have a rounded morphology and are highly motile (Alemany et al., 2018; Lin et al., 2019). Our transcriptome analysis showed high resemblance between metaphocytes and the remaining mpeg1+ cells in csf1rDM zebrafish (total juvenile population and isolated from adult skin). Control and csf1rDM metaphocytes showed overall high similarity, but csf1rDM metaphocytes showed lower expression of genes involved in pigment cell differentiation. It is possible that this is an indirect consequence of the altered pigmentation status of csf1rDM deficient zebrafish, since they lack most of their xantophores, and lack stripes due to abnormal melanocyte patterning. As markers labeling macrophages will likely also label metaphocytes, this could perhaps explain the presumed incomplete depletion of macrophages in Csf1r mutant animals, or after CSF1R pharmacological inhibition (Dai et al., 2002; Erblich et al., 2011; Pridans et al., 2018). Even though, particularly in vitro, CSF1R is considered essential for macrophage development, macrophages are nevertheless detected, in numbers ranging between 10–70% of the numbers found in controls, in tissues, other than brain, epidermis and bone, of Csf1r-deficient mice and rats (Dai et al., 2002; Pridans et al., 2018). Therefore, at least in zebrafish, macrophage numbers in Csf1r-deficient mutants were initially overestimated (Oosterhof et al., 2018). As CSF1R mutations cause pleiotropic effects on various tissues in vertebrates and in human disease, that are likely caused by the absence of macrophages, our results further stress the importance of macrophages for development and homeostatic regulation of tissues. In addition, this raises the question whether metaphocytes exist in mammals (Oosterhof et al., 2019; Oosterhof et al., 2018).

In mouse Csf1r knockouts embryonic macrophages were reported to be largely absent from the yolk sac at E12.5 (Ginhoux et al., 2010). However, at E10.5 embryonic macrophages normally have already migrated away to the fetal liver and embryonic organs (Stremmel et al., 2018). Therefore, it is unknown whether primitive macrophages would be present in Csf1r-deficient mice at a stage earlier than E10.5 and can be generated independently of Csf1r. In csf1rDMfish we found initially normal embryonic macrophage numbers, but at 2–2.5 dpf, concordant with E12-13 in mice, we also found reduced macrophage numbers compared to controls. It remains to be determined whether CSF1R signaling is essential for embryonic development in mice and other mammals at earlier stages as well.

Homozygous mutations in CSF1R cause severe congenital brain disease with osteopetrosis, and absence of microglia (Monies et al., 2017; Oosterhof et al., 2019). Our data in zebrafish show multiple Csf1r-dependent steps of early microglia development that together illustrate how CSF1R-deficiency could underlie the absence of microglia already early in development. In zebrafish, only few Csf1r-deficient microglial progenitors reach the developing brain, since they stop to expand, and they are unable to respond to neuronal expressed Interleukin-34, which normally facilitates brain colonization (Greter et al., 2012; Kuil et al., 2018; Wang et al., 2012; Wu et al., 2018). Thereafter, these few microglia do not expand, which eventually leads to their extinction. We propose that such a mechanism may underlie the absence of microglia, and osteoclasts, in patients with homozygous mutations in CSF1R (Figure 7).

We find in il34-/- zebrafish that branched skin macrophages are lacking, but we did not find substantially lower numbers of macrophages or obvious gene expression changes overall, as in csf1rDM zebrafish. This phenotype is reminiscent of that of Il34 mutant mice that selectively lack microglia and Langerhans cells (Greter et al., 2012; Wang et al., 2012). Previous studies claimed skin mpeg1+ hematopoietic branched cells in zebrafish to be Langerhans cells (He et al., 2018; Lin et al., 2019). It remains unclear whether these are true Langerhans cells, as there is no known zebrafish ortholog of langerin (CD207), the main marker of LCs in humans and mice. LCs are likely to exist in zebrafish, as Birbeck granules, the morphological markers of LCs, have been identified in zebrafish skin macrophages (Lugo-Villarino et al., 2010), and we recently demonstrated that zebrafish branched skin macrophages, develop independently of the transcription factor Irf8 (Ferrero et al., 2020), similar to mammalian LCs (Chopin et al., 2013; Hambleton et al., 2011). Their dependence on Il34 provides additional evidence for the conservation of LCs in zebrafish. The effect of Il34 loss on macrophage development is relatively subtle, and overall gene expression of mpeg1+ cells in il34 mutants is likely to be dominated by gene expression from all Il34-independent macrophage populations and the effect of the loss of branched skin macrophages is therefore masked in the bulk RNA expression.

TRMs retain the ability to proliferate, partly due to the relief of transcriptional suppression of proliferative enhancers by MAFB (Soucie et al., 2016). Our findings suggest that Csf1r plays a central role in the maintenance of macrophage proliferative capacity. Our embryonic macrophage transcriptome analysis revealed two-fold lower expression of the majority of DNA replication genes in csf1rDM embryos, pointing towards a Csf1r-dependent induction of DNA replication, underlying the lack of macrophage proliferation. CSF1 can indeed rapidly stimulate S-phase entry and DNA replication of macrophages in vitro (Tushinski and Stanley, 1985). The Csf1r-independent proliferation of the earliest primitive macrophages on the yolk, could be explained by signaling through other members of the type III receptor tyrosine kinase family, including Csf3r, Flt3, or C-kit, of which two in zebrafish have been shown to be involved in the expansion of primitive macrophages (Flt3) or HSPCs (Kitb) (Bartelmez and Stanley, 1985; He et al., 2014; Mahony et al., 2018; Sarrazin et al., 2009; Williams et al., 1992). This could explain how the initial proliferation of progenitors is independent of Csf1r while later differentiation then becomes dependent.

In sum, our work provides new insight into the dynamics of embryonic and adult macrophage development, but also metaphocyte ontogeny in zebrafish, as well as the developmental requirements for Csf1r therein. The csf1rDM zebrafish are highly suitable for studying the effects of macrophage absence systemically and metaphocyte function in isolation. In addition, we provide an approach to discern Csf1r-independent metaphocytes from Csf1r-dependent macrophages. Our findings here provide insight into the mechanism that could also underlie the absence of microglia in CSF1R-related leukodystrophy and could help predict the effects on other TRM populations in response to CSF1R mutations or pharmacological inhibition.

Materials and methods

Key resources table
Reagent type
(species) or
resource		DesignationSource or
reference		IdentifiersAdditional
information
Gene (Danio rerio)Tg(mpeg1:EGFP)gl22Ellett et al., 2011gl22Tg
RRID:ZFIN_ZDB-ALT-120117-1		Transgenic
Gene (Danio rerio)il34re03/re03Kuil et al., 2019re03 RRID:ZFIN_ZDB-ALT-190814-11Mutant
Gene (Danio rerio)csf1rbre01/re01Oosterhof et al., 2018re01
RRID:ZFIN_ZDB-ALT-180807-1		Mutant
Gene (Danio rerio)csf1rbsa1503/sa1503ZIRC, This papersa1503
RRID:ZFIN_ZDB-ALT-120411-187		Mutant
Gene (Danio rerio)csf1raj4e1/j4e1Parichy et al., 2009j4e1
RRID:ZFIN_ZDB-ALT-001205-14		Mutant
Gene (Danio rerio)Et(shhb:KalTA4,UAS-E1b:mCherry)zf279(Distel et al., 2009)zf279Et
RRID:ZFIN_ZDB-ALT-120221-7		Transgenic
Gene (Danio rerio)Tg(kdrl:Cre)s898Bertrand et al., 2010s898Tg
RRID:ZFIN_ZDB-ALT-100419-3		Transgenic
Gene (Danio rerio)Tg(actb2:loxP-STOP-loxP-DsRedexpress)sd5Bertrand et al., 2010sd5Tg
RRID:ZFIN_ZDB-ALT-100301-1		Transgenic
Antibodyanti-PCNA (mouse monoclonal)AgilentAgilent Cat# M0879, RRID:AB_2160651IHC (1:250)
AntibodyAnti-DsRed (rabbit polyclonal)Takara Bio ClontechTakara Bio Cat# 632496, RRID:AB_10013483IHC (1:500)
AntibodyAnti-GFP (chicken polyclonal)AbcamAbcam Cat# ab13970, RRID:AB_300798IHC (1:500)
Antibodyanti-Lplastin (rabbit)gift from Yi Feng, University of EdinburghIHC (1:500)
Commercial assay or kitClick-iT EdUInvitrogenC10340Cell Proliferation Kit for Imaging
Software, algorithmPrism 5GraphpadGraphPad Prism, RRID:SCR_002798Data visualization and statistics software
Software, algorithmLeicaLASXLeica Application Suite X, RRID:SCR_013673Microscope image processing software
Software, algorithmFIJIImageJNational Center for Microscopy and Imaging Research: ImageJ Mosaic Plug-ins, RRID:SCR_001935Image analysis software
Software, algorithmFlowJo v10TreestarFlowJo, RRID:SCR_008520FACS software
Software, algorithmR (Bioconductor package)Durinck et al., 2009; Robinson et al., 2010edgeR, RRID:SCR_012802 GAGE, RRID:SCR_017067Transcriptomics data analysis software

Animals

Zebrafish deficient for both Csf1ra (csf1raj4e1/j4e1) and Csf1rb (csf1rbre01/ re01), csf1rDM, were used as we described previously (Oosterhof et al., 2018). The csf1raj4e1/j4e1 mutant was combined with a second csf1rb allele, csf1rbsa1503/sa1503, affecting an essential splice site, leading to a premature STOP codon, for flow cytometry and lineage tracing experiments. Zebrafish deficient in Csf1a/Csf1b (csf1are05/re05; csf1bre07/re07) or Il34 (il34re03/re03) are described previously (Kuil et al., 2019). Tg(mpeg1:egfp); Et(shhb:KalTA4,UAS-E1b:mCherry)zf279) were used as control animals (Ellett and Lieschke, 2010; van Ham et al., 2014). For the genetic lineage tracing the following transgenic lines were crossed: Tg(kdrl:Cre)s898 and Tg(actb2:loxP-STOP-loxP-DsRedexpress)sd5 (Bertrand et al., 2010). All control animals used throughout the manuscript are wild-type controls carrying the trangene reporter constructs only. Adult and larval fish were kept on a 14h/10h light–dark cycle at 28°C. Larvae were kept in HEPES-buffered E3 medium. Media was refreshed daily and at 24 hpf 0.003% 1-phenyl 2-thiourea (PTU) was added to prevent pigmentation. Animal experiments were approved by the Animal Experimentation Committees of the Erasmus MC and ULB.

Live imaging

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Intravital imaging in zebrafish brains was largely performed as previously described (van Ham et al., 2014). Briefly, zebrafish larvae were mounted in 1.8% low melting point agarose containing 0.016% MS-222 as sedative and anesthetic in HEPES-buffered E3. The imaging dish containing the embedded larva was filled with HEPES-buffered E3 containing 0.016% MS-222.

For the experiment where larvae were followed over time between 5 and 9 dpf, larvae were removed from the low melting point agarose after imaging and put individually in wells of a 6 wells-plate containing HEPES-buffered E3 with PTU in which they were fed paramecia.

For the experiment with larval fish between 8 and 24 dpf fish were kept in E3 medium until 5 dpf. From 5 dpf onwards, wild-type controls, il34, and csf1r mutants were raised under standard conditions (14h/10h light–dark cycle, 28°C) in the aquaria (Tecniplast, Italy) in the Erasmus MC fish facility and fed paramecia and dry food. From 13 dpf onwards they were also fed brine shrimp. Animals from all experimental groups were raised with the same number of fish per tank, in tanks of the same size throughout the experiment. Confocal imaging was performed using a Leica SP5 intravital imaging setup with a 20x/1.0 NA water-dipping lens. Imaging of mpeg1-GFP was performed using the 488 nm laser. Analysis of imaging data was performed using imageJ (FIJI) and LAS AF software (Leica).

Immunofluorescence staining

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Immunohistochemistry was performed as described (van Ham et al., 2014; van Ham et al., 2012). Briefly, larvae were fixed in 4 % PFA at 4°C overnight. Subsequently, they were dehydrated with an increasing methanol concentration methanol series, stored in 100% methanol at -20°C for at least 12 hours, and rehydrated, followed by incubation in 150 mM Tris-HCl (pH=9.0) for 15 minutes at 70°C. Samples were then washed in PBS containing 0.04% Triton (PBST) and incubated in acetone for 20 minutes at -20°C. After washing in PBST and ddH2O, larvae were incubated for three hours in blocking buffer (10 % goat serum, 1 % Triton X-100 (Tx100), 1% BSA, 0.1 % Tween-20 in PBS) at 4°C, followed by incubation in primary antibody buffer at 4°C for three days. Larvae were washed in 10 % goat serum 1 % Tx100 in PBS and PBS containing 1 % TX100 for a few hours, followed by incubation in secondary antibody buffer at 4°C for 2.5 days. Hereafter the secondary antibody was washed away using PBS. Primary antibody buffer: 1 % goat serum, 0.8 % Tx100, 1 % BSA, 0.1 % Tween-20 in PBS. Secondary antibody buffer: 0.8 % goat serum, 1 % BSA and PBS containing Hoechst. Primary antibodies: PCNA (1:250, Dako), L-plastin (1:500, gift from Yi Feng, University of Edinburgh). Secondary antibodies used were DyLight Alexa 488 (1:250) and DyLight Alexa 647 (1:250). Samples were imaged as described above.

Immunostaining of fish scales

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Scales were manually detached from anesthetized fish and pre-treated with 100mM DTT (Invitrogen) before O/N fixation in 4 % PFA. Immunostaining on floating scales was performed as described, using the following primary and secondary antibodies: chicken anti-GFP polyclonal antibody (1:500; Abcam), rabbit anti-DsRed polyclonal antibody (1:500; Clontech), Alexa Fluor 488-conjugated anti-chicken IgG antibody (1:500; Invitrogen), Alexa Fluor 594-conjugated anti-rabbit IgG (1:500; Abcam). Images were taken with a Zeiss LSM 780 inverted microscope, using a Plan Apochromat 20× objective. Image post-processing (contrast and gamma adjust) were performed with the Zeiss Zen Software.

EdU pulse-chase protocol

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Larvae of 4 dpf were placed in a 24 wells plate in HEPES buffered (pH = 7.3) E3 containing 0.003% PTU and 0.5 mM EdU for 24 hours. Next, larvae were fixed in 4% PFA for 3 hours at room temperature, dehydrated with a 25%, 50%, 75%, 100% MeOH series and stored at -20°C for at least 12 hours. Rehydrated in series followed by a proteinase K (10 µg/ml in PBS) incubation for an hour. Followed by 15 minute post fixation in 4% PFA. Larvae were further permeabilized in 1% DMSO in PBS-T. Thereafter 50µl Click-iT (Invitrogen) reaction cocktail was added for 3 hours at room temperature protected from light. After washing steps larvae were subjected to immunolabelling using L-plastin (see section immunofluorescent labelling). Samples were imaged as described above.

Quantification of live-imaging data and stainings

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The number of cells was manually quantified using ImageJ (FIJI) or Leica LASX software. To generate an overview of the gross migratory patterns maximum intensity projections of timelapse recordings were generated in FIJI.

Isolation of mpeg1-GFP+ cells from zebrafish larvae and adult fish

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At 28 hpf, 35 larvae were collected in 0.16 % MS-222 solution to euthanize them before adding 5x Trypsin-EDTA (0.25% Trypsin, 0.1 % EDTA in PBS). For csf1rDM cells, at 50 hpf, 70 larvae were used as these mutants had fewer mpeg1-GFP positive cells. Micro centrifuge tubes containing zebrafish embryos were incubated on ice on a shaking platform to dissociate the cells. At 33 dpf and 1.5 mpf, single fish were euthanized in ice water, imaged to measure their length, and they were cut in small pieces with a razor blade and incubated in 5x Trypsin-EDTA on ice for 1 hour to dissociate. Next, the cell suspension was transferred to FACS tubes by running it over a 35 μm cell strainer cap. PBS containing 10 % fetal calf serum (FCS) was added over the strainer caps and the samples were centrifuged for 10 minutes 1000 rpm at 4°C. The pellet was taken up in 300 µl PBS-10% FCS containing DAPI (1:1000). After analysis based on myeloid scatter, singlets, dapi and mpeg1-GFP signal cells were FAC-sorted by FACSAria IIIu and collected in Trizol, followed by RNA isolation according to the manufacturer’s instructions (SMART-Seq v4 Ultra Low Input RNA Kit for Sequencing, Takara Bio USA) (Figure 5—figure supplement 1). Single-cell suspensions of dissected adult zebrafish organs were prepared as previously described (Wittamer et al., 2011). Flow cytometry and cell sorting were performed with a FACS ARIA II (Becton Dickinson). For RNA-sequencing, mpeg1-GFP-positive cells from the skin were collected in Qiazol and RNA was extracted using the miRNeasy Micro Kit (Qiagen). Analyses were performed using the FlowJo software (Treestar).

RNA sequencing cDNA was synthesized and amplified using SMART-seq V4 Ultra Low Input RNA kit for Sequencing (Takara Bio USA, Inc) following the manufacturer’s protocol. Amplified cDNA was further processed according to TruSeq Sample Preparation v.2 Guide (Illumina) and paired end-sequenced (2×75 bp) on the HiSeq 2500 (Illumina). Experiment 1, embryonic macrophages were sequenced at between 12 and 21 million reads per sample. Experiment 2, juvenile macrophages, were sequenced at between 5 and 106 million reads per sample. Reads were mapped using Star v2.5 against the GRCz10 zebrafish genome (Dobin et al., 2013). For differential gene expression analysis and GSEA we used the Bioconductor packages edgeR and GAGE, respectively (Durinck et al., 2009; Luo et al., 2009; Robinson et al., 2010).

For analyses on adult skin mpeg1+ cells, RNA quality was checked using a Bioanalyzer 2100 (Agilent technologies). Indexed cDNA libraries were obtained using the Ovation Solo RNA-Seq System (NuGen-TECAN) with the SoLo Custom AnyDeplete Probe Mix (Zebrafish probe set) following manufacturer recommendation. The multiplexed libraries were loaded on a NovaSeq 6000 (Illumina) using a S2 flow cell and sequences were produced using a 200 Cycle Kit. On average 65 million paired-end reads were mapped against the Danio rerio reference genome GRCz11.94 using STAR software to generate read alignments for each sample. Annotations Danio_rerio.GRCz11.94.gtf were obtained from ftp.Ensembl.org. After transcripts assembling, gene level counts were obtained using HTSeq. Genes differentially expressed were identified used the Bioconductor packages edgeR (Durinck et al., 2009; Robinson et al., 2010). 

qPCR

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Relative amount of each transcript was quantified via the ΔCt method, using MOB family member 4 (mob4) or elongation-Factor-1-alpha (ef1α) expression for normalization, or via the ΔΔCt method, using mob4 or ef1α and WKM for normalization. Primers are listed in Table 1. The number of biological replicates are listed in Table 2.

Table 1
List of primers used for qPCR experiments.
GeneForward PrimerReverse Primer
ef1αGAGAAGTTCGAGAAGGAAGCCGTAGTATTTGCTGGTCTCG
mob4CACCCGTTTCGTGATGAAGTACAAGTTAAGCAGGATTTACAATGGAG
csf1aACGTCTGTGGACTGGAACTGCTGTTGGACAAATGCAGGGG
csf1bGGATTTGGGTCGGTGAGCTTTGGAGAGGGGAACACACAGT
il34AGGGAGTTTCCGACGCTTTTCTGAGAAGCCAGCATTCGGA
Table 2
Number of biological replicates per group for qPCR.
Agecsf1acsf1bil34
20 hpf31
24 hpf521
36 hpf554
48 hpf342
72 hpf443
7 dpf545
10 dpf444
14 dpf332
Organ
Gills333
Skin343
Muscle432
Kidney442
Heart524
Spleen322
Eye553
Brain665
Liver425
Intestine313

Statistical analysis

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For statistical analysis GraphPad was used to perform Student’s t-tests, one-way ANOVA with Dunnett’s multiple comparison test, linear regression and non-linear regression analysis. Results were regarded significant at p < 0.05.

Data availability

The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus (Edgar et al., 2002) and are accessible through GEO Series accession number GSE149789.

The following data sets were generated

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Article and author information

Author details

  1. Laura E Kuil

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Conceptualization, Formal analysis, Supervision, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing - review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3330-1371

  2. Nynke Oosterhof

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Software, Investigation, Methodology, Writing - original draft
    Contributed equally with
    Giuliano Ferrero
    Competing interests
    No competing interests declared

  3. Giuliano Ferrero

    Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université Libre de Bruxelles (ULB), Brussels, Belgium
    Contribution
    Resources, Investigation, Methodology
    Contributed equally with
    Nynke Oosterhof
    Competing interests
    No competing interests declared

  4. Tereza Mikulášová

    Laboratory of Cell Differentiation, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
    Contribution
    Resources, Investigation, Methodology
    Competing interests
    No competing interests declared

  5. Martina Hason

    Laboratory of Cell Differentiation, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
    Contribution
    Resources, Investigation, Methodology
    Competing interests
    No competing interests declared

  6. Jordy Dekker

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  7. Mireia Rovira

    Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université Libre de Bruxelles (ULB), Brussels, Belgium
    Contribution
    Resources, Investigation, Methodology
    Competing interests
    No competing interests declared

  8. Herma C van der Linde

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Conceptualization, Resources, Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  9. Paulina MH van Strien

    Department of Hematology, Erasmus University Medical Center, Rotterdam, Netherlands
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared

  10. Emma de Pater

    Department of Hematology, Erasmus University Medical Center, Rotterdam, Netherlands
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared

  11. Gerben Schaaf

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Methodology, Writing - review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0189-9073

  12. Erik MJ Bindels

    Department of Hematology, Erasmus University Medical Center, Rotterdam, Netherlands
    Contribution
    Resources, Investigation, Methodology
    Competing interests
    No competing interests declared

  13. Valerie Wittamer

    1. Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université Libre de Bruxelles (ULB), Brussels, Belgium
    2. WELBIO, ULB, Brussels, Belgium
    Contribution
    Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Investigation, Methodology, Writing - review and editing
    Contributed equally with
    Tjakko J van Ham
    For correspondence
    vwittame@ulb.ac.be
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0003-2646

  14. Tjakko J van Ham

    Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
    Contribution
    Conceptualization, Supervision, Funding acquisition, Investigation, Visualization, Writing - original draft, Writing - review and editing
    Contributed equally with
    Valerie Wittamer
    For correspondence
    t.vanham@erasmusmc.nl
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2175-8713

Funding

Erasmus University Rotterdam (University Fellowship)

  • Tjakko J van Ham

WELBIO (WELBIO-CR-2015S-04)

  • Valerie Wittamer

Marie Curie Career Integration Grant (322368)

  • Tjakko J van Ham

ZonMw (VENI 016.136.150)

  • Tjakko J van Ham

Fonds De La Recherche Scientifique - FNRS (F451218F)

  • Valerie Wittamer

Czech Science Foundation (18-18363S)

  • Tereza Mikulášová

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

Acknowledgements

We acknowledge Remco Hoogenboezem, Frederick Libert and Anne Lefort for assistance in RNA sequencing analysis and Michael Vermeulen for assistance with FACS. We thank Leslie Sanderson and Stefan Barakat for helpful comments on the manuscript, and the optical imaging center (OIC) of the Erasmus MC for assistance in confocal microscopy. Research in the van Ham laboratory is supported by a Marie Curie Career Integration Grant, a ZonMW VENI grant and an Erasmus University Rotterdam fellowship. Work in the Wittamer lab is funded by the WELBIO, the Fonds de la Recherche Scientifique FNRS under Incentive Grant for Scientific Research and The Minerve Foundation. GF is a FNRS Research Fellow. The work in Petr Bartunek lab was funded by the Czech Science Foundation, grant number 18–18363S.

Ethics

Animal experimentation: All experimental procedures were approved and in accordance with the recommendations of the Animal Experimentation Committee at Erasmus MC, Rotterdam or the UL Bethical committee for animal welfare (CEBEA) (protocol 594N). Zebrafish over 5 days old were euthanized using ice water and/or high dose MS-222.

Version history

  1. Received: November 7, 2019
  2. Accepted: April 24, 2020
  3. Accepted Manuscript published: May 5, 2020 (version 1)
  4. Version of Record published: May 19, 2020 (version 2)

Copyright

© 2020, Kuil 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. Laura E Kuil
  2. Nynke Oosterhof
  3. Giuliano Ferrero
  4. Tereza Mikulášová
  5. Martina Hason
  6. Jordy Dekker
  7. Mireia Rovira
  8. Herma C van der Linde
  9. Paulina MH van Strien
  10. Emma de Pater
  11. Gerben Schaaf
  12. Erik MJ Bindels
  13. Valerie Wittamer
  14. Tjakko J van Ham
(2020)
Zebrafish macrophage developmental arrest underlies depletion of microglia and reveals Csf1r-independent metaphocytes
eLife 9:e53403.
https://doi.org/10.7554/eLife.53403

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https://doi.org/10.7554/eLife.53403

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