Evolution of Yin and Yang isoforms of a chromatin remodeling subunit precedes the creation of two genes
Abstract
Genes can encode multiple isoforms, broadening their functions and providing a molecular substrate to evolve phenotypic diversity. Evolution of isoform function is a potential route to adapt to new environments. Here we show that de novo, beneficial alleles in the nurf-1 gene became fixed in two laboratory lineages of C. elegans after isolation from the wild in 1951, before methods of cryopreservation were developed. nurf-1 encodes an ortholog of BPTF, a large (>300 kD) multidomain subunit of the NURF chromatin remodeling complex. Using CRISPR-Cas9 genome editing and transgenic rescue, we demonstrate that in C. elegans, nurf-1 has split into two, largely non-overlapping isoforms (NURF-1.D and NURF-1.B, which we call Yin and Yang, respectively) that share only two of 26 exons. Both isoforms are essential for normal gametogenesis but have opposite effects on male/female gamete differentiation. Reproduction in hermaphrodites, which involves production of both sperm and oocytes, requires a balance of these opposing Yin and Yang isoforms. Transgenic rescue and genetic position of the fixed mutations suggest that different isoforms are modified in each laboratory strain. In a related clade of Caenorhabditis nematodes, the shared exons have duplicated, resulting in the split of the Yin and Yang isoforms into separate genes, each containing approximately 200 amino acids of duplicated sequence that has undergone accelerated protein evolution following the duplication. Associated with this duplication event is the loss of two additional nurf-1 transcripts, including the long-form transcript and a newly identified, highly expressed transcript encoded by the duplicated exons. We propose these lost transcripts are non-functional side products necessary to transcribe the Yin and Yang transcripts in the same cells. Our work demonstrates how gene sharing, through the production of multiple isoforms, can precede the creation of new, independent genes.
https://doi.org/10.7554/eLife.48119.001Introduction
There is general interest in understanding how animals adapt to new environments. What are the alleles that matter to positive selection and what sort of genes do they target? Since methods were developed to map and identify the genes harboring causative genetic variation, researchers have often isolated changes in the same gene in different populations or species (Wood et al., 2005; Martin and Orgogozo, 2013). Besides targeting specific genes, evolution can target classes of genes that share molecular features such as biochemical (e.g. chemoreceptor genes; Bachmanov and Beauchamp, 2007; Keller et al., 2007; Wisotsky et al., 2011; Lunde et al., 2012; McRae et al., 2012; McBride et al., 2014; Greene et al., 2016a; Greene et al., 2016b) or developmental function (e.g. master regulators of cell fate; Sucena et al., 2003; Colosimo et al., 2005; Chan et al., 2010; Yang et al., 2018). One molecular feature predicted to be important for evolution is the ability of genes to produce multiple protein isoforms. A single protein-coding gene can produce multiple isoforms using alternative transcription initiation and termination sites combined with alternative splicing between exons (Pan et al., 2008; Pal et al., 2011). Isoform-specific evolution is found throughout vertebrates, including recent evolution of transcript expression in primates (Barbosa-Morais et al., 2012; Merkin et al., 2012; Shabalina et al., 2014; Zhang et al., 2017). Whether the increase in transcriptomic diversity is important for adaptive evolution remains an important question, and only a few examples have shown how isoform evolution could be involved in phenotypic diversity (Mallarino et al., 2017).
The ability of a gene to produce multiple protein isoforms might also play a role in the genesis of new genes. Over long evolutionary timescales, gene duplication and diversification can create paralogous genes with different functions (Ohno, 1970; Innan and Kondrashov, 2010). One central mystery in this process is the order of these two events; do mutations that duplicate genes occur first or does functional diversification preclude the duplication event? One mechanism the latter route can happen through is by gene sharing, or the ability of a gene to create multiple protein products (or a single protein product) that have two or more distinct functions (Hughes, 1994). If each isoform acts in different tissues or plays distinct roles in biological processes, subsequent duplication mutations can result in the separation of these isoforms into two distinct genes.
As a model for understanding the genetic basis of adaptive evolution in an animal model, we use the small nematode Caenorhabditis elegans. Besides its genetic tractability, use of this organism allows the analysis of evolution at different timescales. For example, experimental evolution can be used to study evolutionary processes in controlled environments on the order of 10–1000 generations (Gray and Cutter, 2014; Teotónio et al., 2017; Penley et al., 2018; Chelo et al., 2019; Saxena et al., 2019; Wernick et al., 2019). For longer timescales, a growing number of isolated and sequenced Caenorhabditis species can be used to study genetic differences responsible for species-level differences (Ting et al., 2018; Yin et al., 2018; Bi et al., 2019; Stevens et al., 2019).
For understanding short-term adaptation, we study two laboratory strains of C. elegans, called N2 and LSJ2, which descended from a single hermaphrodite isolated in 1951 (Figure 1A). These two lineages split from genetically identical populations between 1957 and 1958 and evolved in two very different laboratory environments – N2 grew on agar plates seeded with E. coli bacteria and LSJ2 in liquid cultures containing liver and soy peptone extracts (McGrath et al., 2009; McGrath et al., 2011; Sterken et al., 2015). By the time permanent means of cryopreservation were developed, approximately 300–2000 generations had passed, and ~ 300 new mutations arose and fixed in one of the two lineages (McGrath et al., 2011). Despite their genetic similarity, substantial divergence has occurred between these strains in terms of phenotype and fitness, including a large number of developmental, behavioral, and reproductive traits. Use of these strains allow us to identify causal genetic variants responsible for phenotypic and fitness changes. To date, five de novo, causal genetic variants have been identified in either the N2 or LSJ2 lineage (de Bono and Bargmann, 1998; McGrath et al., 2009; Persson et al., 2009; McGrath et al., 2011; Duveau and Félix, 2012; Large et al., 2016; Large et al., 2017; Zhao et al., 2018).
-
Figure 1—source data 1
- https://doi.org/10.7554/eLife.48119.006
One of these mutations is an LSJ2-derived, 60 bp deletion at the 3’ end the nurf-1 gene that reduces growth rate, slows reproductive output, and prevents development into the dauer diapause state in response to ascaroside pheromones (Figure 1B) (Large et al., 2016). This genetic variant is beneficial in the LSJ2 liquid cultures in which it arose and fixed, but places animals at a disadvantage in the agar plate environments in which N2 evolved, an example of gene-environment interaction (Large et al., 2016). We proposed that nurf-1 is a regulator of life-history tradeoffs. Life history tradeoffs represent competing biological traits requiring large energetic investments, such as the tradeoff between energy required for reproduction versus the energy required for individual survival. The difference in fitness of this allele in the two laboratory environments is potentially determined by how the life-history tradeoffs map into reproductive success.
Studies of nurf-1 and its orthologs provide fundamental support for its role as a life history regulator. nurf-1 encodes an ortholog of mammalian BPTF, a subunit of the NURF chromatin remodeling complex (Barak et al., 2003) (Figure 1C). BPTF encodes a large protein containing a number of domains that facilitate recruitment of NURF to specific regions of the genome for chromatin remodeling (Alkhatib and Landry, 2011), including domains that interact with sequence-specific transcription factors and three PHDs and a bromodomain that facilitate interactions with modified nucleosomes (Li et al., 2006; Wysocka et al., 2006; Kwon et al., 2009; Ruthenburg et al., 2011). Through its DDT domain (Fyodorov and Kadonaga, 2002), BPTF cooperates with ISWI to slide nucleosomes along DNA, changing access of promoter regions to transcription factors that drive gene transcription. In mammals, BPTF regulates cellular differentiation and homeostasis of specific cell-types and tissues, including the distal visceral endoderm (Landry et al., 2008), ecoplacental cone (Goller et al., 2008), hematopoietic stem/progenitor cells (Xu et al., 2018), mammary stem cells (Frey et al., 2017), T-cells (Wu et al., 2016), and melanocytes (Koludrovic et al., 2015). In Drosophila, the ortholog to BPTF, NURF301, regulates the heat shock response, pupation, spermatogenesis, and innate immunity (Badenhorst et al., 2002; Badenhorst et al., 2005; Kwon et al., 2008; Kwon et al., 2009). Many of these traits can be viewed as life-history tradeoffs, e.g. large energetic investments in individual survival through the development of the immune system vs. energetic transfers to offspring in the placenta or mammary glands. The evolution of BPTF/NURF-1 function might also be relevant in human disease. Genetic alterations in BPTF have been reported in tumors, including gene amplification and point mutations (Buganim et al., 2010; Balbás-Martínez et al., 2013). In addition, BPTF has been shown to be required for the transcriptional activity of c-MYC, a major human oncogene (Richart et al., 2016).
In this paper, we continue our studies of the evolution of the N2/LSJ2 laboratory strains. We demonstrate that an independent, beneficial mutation in the nurf-1 gene was fixed in the N2 lineage, suggesting that nurf-1 is a preferred genetic target for laboratory adaptation. To understand why nurf-1 might be targeted, we explored the in vivo role in C. elegans development by taking advantage of CRISPR-Cas9 to test causal relationships that inform laboratory evolution and fitness effects. Our work suggests that the large, full-length isoform of nurf-1, primarily studied in mammals, is dispensable for development. Instead, two, largely non-overlapping isoforms are both essential for reproduction, having opposing effects on cellular differentiation of gametes into sperm or oocytes. Our results suggest that the ability of nurf-1 to regulate life history tradeoffs is the result of exquisite regulation of NURF function through the balance of two competing isoforms, reminiscent of the principle of Yin and Yang. Finally, we demonstrate that these two isoforms have split into separate genes in a clade of related nematodes, potentially resolving transcriptional and functional conflict between the Yin and Yang isoforms transcription and function. Our work demonstrates how evolution of isoforms can precede the origin of a new gene, supporting a role for gene sharing in the origin of functionally novel proteins.
An N2-derived variant in the second intron of nurf-1 increases fitness and brood size in laboratory conditions
We previously mapped differences in a number of traits (including reproductive rate, fecundity, toxin and anthelmintic sensitivity, and laboratory fitness) between N2 and LSJ2 to a QTL centered over nurf-1, which contains a derived mutation in both the N2 and LSJ2 lineages (Figure 1A and B) (Large et al., 2016; Large et al., 2017; Zhao et al., 2019). The LSJ2 allele of nurf-1 contains a 60 bp deletion in the 3’ end of the coding region of the gene, overlapping the stop codon and probably resulting in the translation of parts of the 3’ UTR. The N2 allele of nurf-1 contains an SNV that converts an A to a T in a homopolymer run of Ts in the 2nd intron (Figure 1B). Using CRISPR-Cas9-based genome editing, we previously demonstrated that the LSJ2-derived deletion accounted for a large portion of the trait variance in reproductive rate explained by the QTL. However, it did not explain the entire effect of this locus (Large et al., 2016). We decided to test whether this additional genetic variant or variants affected fitness of the animals in laboratory conditions using a previously described pairwise competition assay (Zhao et al., 2018). To do so, we took advantage of three strains we had previously created; CX12311 is a near isogenic line with ancestral (non-N2) alleles of npr-1 and glb-5 crossed into an otherwise N2 genetic background, which we have used to eliminate the fitness and phenotypic effect of derived (N2) alleles of npr-1 and glb-5 (Zhao et al., 2018) (Figure 1D - referred to as N2*), NIL(nurf-1,LSJ2>N2*) is a near isogenic line containing LSJ2 alleles of both nurf-1 mutations backcrossed into an N2* background (Large et al., 2016), and ARL(del,LSJ2>N2*) is an allelic replacement line containing the LSJ2-derived 60 bp deletion edited into the N2* strain using CRISPR-Cas9. Phenotypic differences between the NIL(nurf-1,LSJ2>N2*) and ARL(del,LSJ2>N2*) strains are caused by the N2-derived intron SNV in nurf-1, or one of the additional seven linked LSJ2-N2 genetic variants near nurf-1.
We measured the relative fitness of the N2*, NIL(nurf-1,LSJ2>N2*), and ARL(del,LSJ2>N2*) strains against PTM288, a version of N2* that also contains a silent mutation in the dpy-10 gene (Figure 1D). The dpy-10 silent mutation provides a common genetic variant that can be used to quantify the relative proportion of each strain on a plate using digital droplet PCR. Both the NIL(nurf-1,LSJ2>N2*) and ARL(del,LSJ2>N2*) strains showed dramatically reduced fitness comparing to PTM288, consistent with our previous report showing that the 60 bp deletion is deleterious on agar plates (Large et al., 2016). However, the NIL(nurf-1,LSJ2>N2*) was quantitatively and significantly less fit than the ARL(del,LSJ2>N2*) strain, suggesting additional genetic variant(s) in the NIL(nurf-1,LSJ2>N2*) strain further reduced its fitness. To confirm this result, we also directly competed the NIL(nurf-1,LSJ2>N2*) and ARL(del,LSJ2>N2*) strains against each other, using a nearly neutral background mutation in spe-9(kah132) to distinguish the two strains (Figure 1D).
To determine if the N2-derived intron SNV in nurf-1 (Figure 1B) was responsible for the fitness gains (as opposed to one of the seven linked LSJ2/N2 variants), we used CRISPR-Cas9 to directly edit the LSJ2 allele of the intron SNV into the standard N2 strain to create a strain we will refer to as ARL(intron,LSJ2>N2). We measured the relative fitness of the ARL(intron,LSJ2>N2) and N2 strains against PTM229 (a strain which again contains a dpy-10 silent mutation). The ARL(intron,LSJ2>N2*) strain was significantly less fit than the N2 strain at a level similar to the difference between the NIL(nurf-1,LSJ2>N2*) and ARL(del,LSJ2>N2) strains (Figure 1D). These results indicate that beneficial alleles of nurf-1 arose in both laboratory lineages - the 60 bp deletion makes LSJ2 animals more fit in liquid, axenic media (Large et al., 2016), and the intron SNV makes N2 animals more fit on agar plates seeded with bacteria.
In C. elegans, brood-size of hermaphrodites is negatively correlated to the timing of initial egg-laying. It has been suggested that this life-history tradeoff has been optimized in N2 animals (Hodgkin and Barnes, 1991; Cutter, 2004). After sexual maturation, gonads in the hermaphroditic sex initially undergo spermatogenesis before transitioning to oogenesis; a concomitant lengthening of spermatogenesis time increases the total brood size of hermaphrodites but also delays when reproduction can start. When we compared the total fecundity produced by the N2 and ARL(intron,LSJ2>N2) strains, we found a significant difference, with the ARL(intron,LSJ2>N2) strain producing ~ 30 fewer offspring than N2 (Figure 1E). This could indicate that spermatogenesis occurs for a longer period of time in N2 animals (to produce more sperm), or, alternatively, indicate that sperm are less likely to fertilize an egg in the ARL(intron,LSJ2>N2) strain. The reproductive rate of the N2 and ARL(intron,LSJ2>N2) strains was largely unchanged throughout their reproductive lifespan (Figure 1—figure supplement 1).
RNA-seq analysis identified transcriptional differences caused by the intron SNV during spermatogenesis, supporting our hypothesis that sperm development is affected by this SNV. We collected RNA from synchronized N2 and ARL(intron,LSJ2>N2) hermaphrodites at two timepoints, 52 and 60 hr after hatching, which occur during spermatogenesis (52 hr) or oogenesis (60 hr). Interestingly, a large number of genes are differentially expressed between the two strains but only during the 52 hr timepoint (3384 genes vs. 25 genes) (Figure 1F, Figure 1—figure supplement 2A, and Supplementary file 1). Inspection of these differentially-expressed genes in a single-cell RNAseq dataset (Cao et al., 2017) demonstrated that although a portion of these 3384 genes are expressed in the germline, these genes are also expressed in additional tissues (Figure 1—figure supplement 2B). Gene ontology analysis suggests that cuticle development and innate immune responses are regulated by nurf-1 (Supplementary file 2) consistent with the role of its orthologs in regulating immunity and melanocyte proliferation in Drosophila and humans (Kwon et al., 2008; Landry et al., 2011; Koludrovic et al., 2015; Wu et al., 2016). The restriction of most of these transcriptional changes to a specific timepoint (i.e. 52 hr) could reflect a specific-role for nurf-1 in regulating genes undergoing short bursts of transcriptional upregulation during this developmental timepoint (e.g. molting), a specific-role for nurf-1 in regulating cell number or activity of specific cell-types that are transiently present during this timepoint (e.g. spermatocytes), or some combination of both. These results suggest that the intron SNV regulates a number of developmental processes including spermatogenesis, molting, and innate immunity.
nurf-1 produces multiple transcripts encoding multiple protein isoforms
Our results suggest that selection acted repeatedly on C. elegans nurf-1 during laboratory growth. The molecular nature of NURF-1, an essential subunit of the NURF chromatin remodeling complex, is surprising for a hotspot gene. In general, chromatin remodelers are thought of as ubiquitously expressed regulators with little variation in different cell types, akin to general function RNA polymerase proteins or ribosomes. Why would genetic perturbation of nurf-1 lead to increased fitness? One potential clue is the complexity of the nurf-1 locus. Previous cDNA analysis of nurf-1 identified four unique transcripts encoding four unique isoforms (Andersen et al., 2006), two of which have been shown to affect different phenotypes (summarized in Table 1).
To identify other transcripts produced by nurf-1 and quantify the relative proportions of each that are produced, we analyzed previously published Illumina short-read (Brunquell et al., 2016) (isolated from synchronized L2 larval animals) and Oxford Nanopore long-read RNA sequencing reads (Roach et al., 2019) (isolated from mixed populations) (Figure 2—figure supplements 1–2). Our results support many of the conclusions of Andersen et al. (2006) but contain a few surprises. We identified five major transcripts (Figure 2A) - three previously isolated (nurf-1.b, nurf-1.d, and nurf-1.f) but also two newly identified (nurf-1.a and nurf-1.q) (mapping of transcript names used in Andersen et al. are listed in Table 1). nurf-1.a encodes a full-length 2197 amino acid isoform analogous to the primary isoform of BPTF in humans and NURF301 in Drosophila (Figure 1C). Despite the expectation that C. elegans would produce a similar protein, the Oxford Nanopore long-read data are the only evidence supporting its existence. The nurf-1.q transcript is predicted to produce a 243 amino acid unstructured protein. With the exception of the full-length nurf-1.a transcript, the overlap of these transcripts is quite minimal, resulting in predicted isoforms with unique protein domains and functions (Figure 2B).
We quantified the relative expression of these five transcripts by either counting the number of Nanopore reads that matched the transcript or by using kallisto (Bray et al., 2016) to predict transcript abundance using Illumina short-read sequencing data (Figure 2C). These predictions qualitatively agreed in transcript ranking of expression strength (although quantitative variation in predictions were observed, reflective of the different technologies or developmental stages of the animals). Surprisingly, the newly described nurf-1.q transcript was the most highly expressed followed by the nurf-1.b transcript, and the nurf-1.a, nurf-1.d and nurf-1.f were expressed at similar lower levels.
Although each of the five major transcripts are transcribed, this result does not necessarily mean they are translated into stable protein products. To facilitate analysis of NURF-1 proteins, we used CRISPR-Cas9 to fuse two distinct epitope tags (HA and 3xFLAG tag) to the endogenous nurf-1 locus, just prior to the stop codons in the 16th and 28th exon, respectively (Figure 2A). Immunoblot analysis supported the expression of the B, D, and F isoforms, but not the A or Q isoforms (Figure 2D). Although larger proteins, such as the A isoform, can be difficult to transfer during immunoblots, the lack of a band matching the small Q isoform suggests the highly expressed nurf-1.q transcript is not translated into protein or the protein is rapidly degraded.
Based upon these results, we speculated that the intronic SNV, which we have shown regulates total fecundity and fitness in laboratory conditions (Figure 1), could specifically alter the expression level of the nurf-1.b transcript. However, analysis of all five nurf-1 transcript levels, using the previously described RNA-seq data on the N2 and ARL(intron,LSJ2>N2) strains, did not reveal any significant expression differences (Figure 2—figure supplement 3). Potentially the effect of this SNV has cell-type specific effects in spermatocytes, however, our data, using RNA collected from the whole animal, does not allow us to test this hypothesis.
We also investigated whether similar isoforms could be expressed in human cells, using western blots on a small panel of human cancer cell lines. Interestingly, besides a band matching the expected size of the canonical full-length isoform, a number of additional bands were observed between 150–250 kD (Figure 2—figure supplement 4A). Using mass-spectrometry, we confirmed the presence of multiple BPTF peptides in the bands detected by western blotting (Figure 2—figure supplement 4), consistent with one or more of these bands representing novel BPTF isoforms. Potentially, these isoforms could play a role in cancer metastasis, although we provide no such evidence here. Despite the presence of these additional bands, the full-length version of BPTF is the most highly expressed isoform (Figure 2—figure supplement 4D), consistent with its importance in mammalian species.
The B and D isoforms are both essential for reproduction and the F isoform modifies the heat shock response
Genetic analysis of nurf-1 primarily relied on two deletion alleles, n4293 and n4295 (Figure 3A) (Andersen et al., 2006). The n4293 allele deletes the first exon and predicted transcriptional start site of the nurf-1.a and nurf-1.b transcripts. The n4295 allele deletes three exons of the nurf-1.a, nurf-1.d, and nurf.1.f transcripts that encode a C-terminal PHD domain (Figure 3—figure supplement 1) necessary for human BPTF function. Comparison of the phenotypes of the n4293 and n4295 homozygotes leads to the model that the B isoform is essential for reproduction and the A, D, and/or F isoforms have subtle effects on growth rate and reproductive rate (Table 1).
-
Figure 3—source data 1
- https://doi.org/10.7554/eLife.48119.019
To further delineate the biological role of each isoform, we used CRISPR-Cas9 to engineer nine stop codons in eight exons of the nurf-1 gene: the first, second (two positions), 7th, 15th, 18th, 19th, 23rd, or 26th exons (Figure 3A). The predicted effects of these stop codons on each major isoform are shown in Figure 2—figure supplement 4 and Table 2. Homozygous animals for each mutation were assayed for total brood size and growth rate. Analysis of the phenotypes of these mutants indicated that our working model was incorrect. Instead, we propose that both the B and D isoforms are essential for reproduction.
As expected, engineering stop codons in the first, second, and 7th exons greatly reduced fecundity, resulting in either sterility, or a mortal germline phenotype, initially reducing total brood size of animals, before eventually causing complete sterility after around three-to-five generations of homozygosity (Figure 3B and C). Although the qualitative phenotypes of these four alleles agreed, we observed interesting quantitative differences between them. The second stop codon in the second exon (kah106) and the stop codon in the 7th exon (kah142) reduced growth and fecundity more than the first exon stop codon (kah90) or the first stop codon in second exon (kah91) (Figure 3B and C). We suspect this result indicates the presence of an internal ribosome entry site in the middle of the second exon at the 122nd Methionine, causing the expression of two isoforms from a single transcript. The reduced severity of the first two stop codon alleles can be explained by their inability to affect the protein sequence of the second isoform. An alternative possibility is a difference in frequency of translational read-through of each stop codon, which are interpreted as sense codons at a low frequency (Jungreis et al., 2011).
Unexpectedly, engineering stop codons in the 18th and 19th exons also caused a mortal germline phenotype (kah96 and kah99) (Figure 3B). This result was surprising, because the n4295 allele, predicted to be a loss-of-function allele for the D and F isoforms due to the loss of the PHD and bromodomains, does not have a mortal germline phenotype. We excluded a number of potential explanations for this discrepancy. A suppressor for the n4295 allele could have fixed during the construction of this strain. However, the kah68 allele, which contains a stop codon within the n4295 deleted region, phenocopies the n4295 allele and not the kah96 and kah99 animals (Figure 3B and C, and Figure 3—figure supplement 2)). Another possibility is that the D isoform suppresses the F isoform; loss of both isoforms (in the n4295 background) is tolerated, but loss of just the D isoform (in the kah96 or kah99 backgrounds) allows the F isoform to prevent reproduction. However, we could exclude this possibility as the double mutant containing both the n4295 allele and the 18th exon stop allele phenocopied the kah96 single mutant (Figure 3—figure supplement 3). Additionally, specific loss of the F isoform by the 23rd exon stop allele (kah11) did not affect the phenotype of animals (Figure 3B and C). Our data suggest that, unlike human BPTF, the ability of NURF-1 to bind modified histones is not required for its function. We further confirmed this hypothesis by editing conserved residues in these the PHD and bromodomains necessary for recognition of the H3K4me3 and H4K16ac marks (Figure 3—figure supplement 1).
The most parsimonious explanation of our data is that either the A or D isoform is essential for reproduction in C. elegans. Compound heterozygote tests allowed us to distinguish between these possibilities, indicating that the D isoform is required for reproduction and wild-type growth rate, and the A isoform is dispensable for reproduction and development (Figure 4). We first verified that the kah93, kah96, and kah106 alleles were recessive by measuring the fecundity of heterozygous animals (Figure 4B). Next, we examined the fecundity of kah106/kah96 compound heterozygotes, which are predicted to lack only the A isoform, due to the production a single unaffected copy of the B isoform from the kah96 haplotype and a single unaffected copy of the D isoform from the kah106 haplotype. If the A isoform was essential for reproduction, we would expect these compound heterozygotes to be sterile or have severe defects in fecundity. However, these animals were indistinguishable from wild-type, suggesting that the full-length A isoform is not essential (Figure 4B). The kah106/kah93 compound heterozygotes showed similar results. These animals are predicted to encode one unaffected copy of the D isoform, one truncated copy of the B isoform, and zero unaffected copies of the A isoform. These animals were mostly wild-type, with a small reduction in total fecundity (Figure 4B). We interpret this to mean that the A isoform is not essential and the truncation of the B isoform slightly perturbs its function, causing a slight reduction in fecundity. Finally, we analyzed kah93/kah96 compound heterozygotes. These animals are predicted to encode zero wild-type copies of the D isoform, one wild-type copy of the B isoform, and zero wild-type copies of the A isoform. These animals were essentially sterile. Taken together, we conclude that the B and the D isoform are both essential for reproduction.
-
Figure 4—source data 1
- https://doi.org/10.7554/eLife.48119.024
To confirm that the D isoform is essential, we also created a transgenic strain containing an integrated construct driving a nurf-1.d cDNA from its endogenous promoter. This transgene could fully rescue the fecundity phenotype of the kah96 allele and partially rescue the fecundity phenotype of the kah93 allele (Figure 4C). This transgene could also rescue the reproductive timing and fecundity changes of the n4295 allele and the LSJ2-derived 60 bp deletion (kah3) (Figure 4C and Figure 4—figure supplement 1). As expected, this transgene could not rescue the kah106 allele, which creates a stop codon in the B isoform. These data further support a requirement of both the B and D isoforms for reproduction.
Although the F isoform does not seem to have an effect in normally developing animals, it is involved in the heat shock response. Multiple reports have demonstrated that nurf-1 is upregulated in response to heat shock (Brunquell et al., 2016; Li et al., 2016). By analyzing RNA-seq reads from these two papers, we found that the nurf-1.f transcript was specifically upregulated in both datasets, with increased coverage of the 23rd exon as well as the 24th through 28th exons (Figure 4—figure supplement 2A and B). We confirmed that the increased transcription of the nurf-1.f transcript also increased NURF-1.F protein abundance (Figure 4—figure supplement 2C and D). Transcriptional analysis of strains lacking the F isoform indicated that the initial transcriptional response to heat shock was largely the same, but the long-term transcriptional response of a subset of genes was affected (Figure 4—figure supplement 2E–G). We conclude that the F isoform is specifically up-regulated by heat shock and plays a modulatory role in determining the long-term transcriptional response to heat shock.
The B and D isoforms have opposite effects on cell fate during gametogenesis
Although the B and D isoforms are both required for reproduction, the molecular mechanism that these isoforms operate through could be different. One possibility is that the long-form of NURF-1 has split into two subunits - both isoforms participate as part of the NURF complex, cooperating together to regulate reproduction. However, the D isoform might instead modify NURF activity by competing for binding with transcription factors or regions of the genome to which NURF is recruited. A third possibility is that the D isoform acts through a NURF-independent pathway.
To gain insights into the molecular nature of the D isoform, we decided to determine precisely how the B and D isoforms regulate reproduction, using three nurf-1 stop alleles (Figure 5A). For hermaphrodites to produce a fertilized egg, the gonads must produce both male and female gametes at different developmental times (Figure 5B). Initially, gametogenesis produces sperm, creating approximately 300 sperm at which point a permanent sperm-to-oocyte switch occurs. From this time, gametogenesis produces oocytes until the animal dies or the gonad ceases to function (Hubbard and Greenstein, 2005). A number of defects could cause sterility – inability to form gametes, inability to create sperm, inability to create oocytes, or defects in the sperm and/or oocyte function. We used DAPI staining to characterize the production of sperm and oocytes in three nurf-1 mutants (Figure 5C and D). We first tested kah106 mutants, which lack the B isoform (Figure 5A), for the ability to produce sperm. Compared with N2 animals, which create ~ 300 sperm per animal, the number of sperm produced by kah106 animals was greatly reduced, resulting in the production of only approximately 60 sperm (Figure 5D). These animals produced a normal number of oocytes, indicating that spermatogenesis seemed to be affected specifically (Figure 5E). We interpret these data as evidence that hermaphrodites that lack the NURF-1.B isoform spend less time in spermatogenesis before transitioning to oogenesis. We next tested kah96 mutants which lack the D isoform. These animals produced approximately 500 sperm and almost no oocytes (Figure 5C-E). We interpret these data as evidence that hermaphrodites that lack the D isoform are unable to transition from spermatogenesis to oogenesis. Finally, we performed similar experiments on kah93 mutants, which lack the D isoform and have a truncated B isoform. These animals showed an intermediate phenotype, with normal number of sperm but reduced number of oocytes (Figure 5D and E). The reduced activity of the B isoform due to its truncation potentially allows other factors to transition the animals to oogenesis, resulting in the milder defects found in the kah93 animals (Figure 3B).
-
Figure 5—source data 1
- https://doi.org/10.7554/eLife.48119.027
Although animals that lack either the B or D isoform are unable to reproduce, the cause of sterility is different at the cellular level. To further study the molecular effects of perturbing nurf-1 function, we transcriptionally profiled adult N2*, NIL(nurf-1,LSJ2>N2*), ARL(del, LSJ2, N2*), and LSJ2 animals, which contain various combinations of the N2 and LSJ2-derived nurf-1 mutations (Supplementary file 1). A multi-dimensional scaling plot indicated that the N2* and ARLdel replicates formed two unique clusters, and the LSJ2 and NILnurf-1 replicates largely overlapped in a third cluster (Figure 5—figure supplement 1A). The genetic variation surrounding the nurf-1 locus is responsible for the majority of transcriptional differences between adult LSJ2 and N2* animals, suggesting most of the fixed variants do not have a dramatic effect on transcription on N2-like growth conditions. Although the LSJ2-derived 60 bp deletion regulates transcription, additional genetic variation in the NILnurf-1 strain, presumably from the N2-derived intron variant, also regulates transcription in adult animals.
To study the effects of the 60 bp deletion and intron SNV on transcription, we focused on two comparisons: 1) the N2* vs ARL(del, LSJ2>N2*), which will identify transcriptional changes caused by the 60 bp deletion and 2) the NIL(nurf-1, LSJ2>N2*) vs ARL(del, LSJ2>N2*), which will identify transcriptional changes caused by the intron SNV (as well as linked mutations in the NIL other than the 60 bp deletion). We expect that the latter comparison will mostly report the changes of the intron SNV, as it accounts for most of the fitness differences between the two strains. We observed a positive correlation between these two comparisons (Figure 5—figure supplement 1B). The most parsimonious explanation for this observation is that both the N2 and LSJ2-derived alleles in nurf-1 regulate the activity of a common molecular target, which is likely to be the NURF complex.
A duplication in a sister clade of Caenorhabditis species creates two separate nurf-1 genes
Previous work in C. briggsae characterized the role of nurf-1 in reproduction, including the isolation of nurf-1 cDNAs in this species (Chen et al., 2014). Interestingly, although transcripts matching the nurf-1.b and nurf-1.d were isolated from this species, they no longer shared any exons with each other, suggesting that they were expressed from two separate genes (Figure 6A). Further, spliced leader sequences to the 5’ end of both transcripts matched sl1 sequence, suggesting that these two genes were not expressed as a single operon (Blumenthal, 2012). We compared the gene products using BLAST and found that the shared exons in C. elegans had duplicated in C. briggsae, with one set of each retained in each of the new genes (Figure 6A). Short-read transcriptomics data for this species matched the cDNA analysis; we found evidence for transcripts matching nurf-1.b, nurf-1.d, and nurf-1.f (Figure 6—figure supplements 1–3). Unlike C. elegans, C. briggsae seemed to have lost both the nurf-1.a and nurf-1.q transcripts.
-
Figure 6—source data 1
- https://doi.org/10.7554/eLife.48119.035
Analysis of the nurf-1 gene structure within the context of the Caenorhabditis phylogeny suggested that the exon duplication and separation of nurf-1 into separate genes occurred at the base of a clade containing 11 described species, including C. brenneri and C. tribulationis (Figure 6B). We determined the nurf-1 gene structure in 22 of the 32 Caenorhabditis species with published genomes and transcriptomes (Kiontke et al., 2011; Stevens et al., 2019) (Figure 6—figure supplements 1–3). Like C. briggsae, the species in the brenneri/tribulationis clade express a transcript matching nurf-1.b from a single gene (which we call nurf-1–1). These species also express two transcripts matching nurf-1.d and nurf-1.f from a second gene, called nurf-1–2. Analysis of the spliced leader sequence of the 5’ end of the nurf-1.d transcript only identified sl1 sequence, consistent with separation of these genes into distinct transcriptional units. None of these species appears to express nurf-1.a or nurf-1.q transcripts (Figure 6—figure supplements 1–3). RNA-seq data for species outside of this clade (Figure 6—figure supplements 1–3) matched the transcription pattern of C. elegans, suggesting that these species express five major transcripts from a single nurf-1 gene: nurf-1.a, nurf-1.b, nurf-1.d, nurf-1.f, and nurf-1.q. These data suggest that the C. elegans transcript structure is ancestral.
Phylogenetic analysis of the duplicated ~ 200 amino acid sequence was used to evaluate different hypotheses surrounding the timing and number of duplication events. The analysis supported the model that the split of nurf-1 into two distinct genes happened once within the common ancestor of the brenneri/tribulationis clade (Figure 6C – additional possible trees shown in Figure 6—figure supplement 4). The topology recovered for the region of nurf-1 outside the duplication is congruent with the species tree (Figure 6—figure supplement 5). Interestingly, the rate of amino acid substitution in the duplicated region was accelerated in nurf-1–1 relative to nurf-1–2 (p<0.001; Welch's t-test) suggesting that this region experienced positive selection and/or relaxed selection after this duplication event occurred. Comparison of the synonymous vs. non-synonymous substitution rate in three closely-related species pairs was also consistent with an increase in the rate of protein evolution in the duplicated region following the separation of nurf-1 into independent genes (Table 3).
Discussion
In this paper, we make use of CRISPR/Cas9-enabled gene editing to characterize the nurf-1 gene in C. elegans and then study the sequence and expression of nurf-1 orthologs in other Caenorhabditis species. The combination of genetics and evolutionary analysis allowed us to make a number of surprising observations. First, we show that an SNV in the 2nd intron of nurf-1 that fixed in the N2 laboratory strain increases the fitness and fecundity of the N2 strain. Second, we show that the full-length isoform of nurf-1 has split into two essential, mostly non-overlapping isoforms with opposite effects on cell fate in differentiating gametes. Finally, we show that the B and D isoforms have split into separate genes in a subset of Caenorhabditis species. These data show that nurf-1 can be genetically perturbed to increase fitness of animals in new environments and has experienced long-term evolutionary changes that have split its function and regulation into two isoforms/genes (Figure 7A and B).
Evolution of NURF-1/BPTF across phyla
In humans and Mus musculus, an abundance of evidence confirms that the long-form isoform of BPTF, which is orthologous to nurf-1, is the primary isoform in the NURF chromatin remodeling complex (Alkhatib and Landry, 2011). While a subset of BPTF exons are alternatively spliced, these events will not lead to the large changes in size we observe in the nurf-1 gene. One exception is the FAC1 isoform, which encompasses 801 N-terminal amino acids of BPTF (Bowser et al., 1995). While FAC1 is found in amyloid Alzheimer’s patients and enriched in the nervous system (Bowser et al., 1995; Landry et al., 2008), a biological role for this isoform has not been described. FAC1 is smaller and lacks conserved protein sequence found in the B isoform of nurf-1, suggesting an independent evolutionary origins and function.
In Drosophila, an intermediate state between humans and nematodes is found. Two major isoforms of NURF301 (the ortholog to nurf-1) have been described: a full-length form of NURF301 analogous to the full-length mammalian BPTF and an N-terminal form of NURF301 analogous to the NURF-1.B isoform of C. elegans. Both isoforms form NURF complexes and regulate gene expression (Kwon et al., 2009). Genetic analysis suggests that full-length NURF301 is required for gametogenesis in both sexes while the N-terminal isoform is required for regulation of pupation and innate immunity.
Nematodes have retained the N-terminal isoform but seem to have lost use of the full-length isoform for most biological traits (Andersen et al., 2006). Instead, they express two C-terminal isoforms (D and F) that appear to be a recent evolutionary innovation, likely occurring before the origin of the Caenorhabditis lineage. We show that the D isoform (or the Yin isoform) is essential in C. elegans, and seems to act in opposition to the B isoform (or the Yang isoform) to regulate the sexual fate of differentiating gametes. The requirement of two antagonistic isoforms (the B and D) for reproduction is reminiscent of the principle of Yin and Yang. Genetic pathways often include both positive and negative regulators of transcription and ultimate phenotype, however, rarely are both the factors encoded by the same genetic locus. While there is growing appreciation of isoform-specific regulation of many genes, nurf-1 appears to be unusually complex in this regard (although not unprecedented – see Müller and Basler, 2000; Berry et al., 2001; Wang et al., 2009).
We propose a molecular mechanism to explain the actions of the B and D isoforms to regulate transcription (Figure 7B). These two isoforms share 207 amino acids of protein sequence, which falls in a region that is thought to facilitate physical interactions with transcription factors (Alkhatib and Landry, 2011). NURF-1.B participates as part of the NURF complex, which is recruited to certain promoters by binding to transcription factors. At these loci, NURF promotes or represses expression of target genes by remodeling the chromatin surrounding promoters and gene bodies. For unknown molecular reasons, NURF-1.D preferentially binds to these transcription factors, displacing the NURF complex from these genomic regions, causing a change of chromatin state and gene expression.
Microevolution of NURF-1/BPTF
We showed that independent, beneficial alleles in nurf-1 were fixed in two laboratory strains of C. elegans that each experienced an extreme shift in environment from their natural habitats. The N2-derived SNV results in the change of a run of homopolymers in the 2nd intron of the nurf-1.b transcript. Such a change could act as an enhancer for the nurf-1.d promoter, but the nature of the genetic change and position is more consistent with a role in regulating the nurf-1.b transcript. Analysis of RNA sequencing data did not identify any obvious changes in levels of any of the nurf-1 transcripts and it is unclear by what molecular mechanism it regulates nurf-1 activity. Potentially, it could increase pausing of the RNA polymerase at the homopolymer run or could regulate RNA splicing by changing the secondary structure of the RNA molecule. In general, such a mutation would not be predicted by most bioinformatic approaches to have a phenotypic effect. Only the low genetic diversity between the LSJ2 and N2 strains allowed us to focus on this variant, and eventually demonstrate this particular variant is causal.
The probability of two beneficial mutations happening in both lineages by random chance is quite small. Less than 300 genes (out of ~ 20,000 total) harbor derived mutations in either the N2 or LSJ2 lineage (McGrath et al., 2011). Only a handful of these fixed mutations are expected to be beneficial; our recent QTL mapping of fitness differences on agar plates only identified the nurf-1 locus (Zhao et al., 2019) and the small effective population sizes (~4–100) are expected to lead to the fixation of a number of nearly-neutral mutations through genetic drift and draft. Our work suggests nurf-1 is a genetic target for adaptation to the extreme changes in environments associated with laboratory growth.
Targeting of nurf-1 is consistent with its role as a regulator of life history tradeoffs. Many traits influence individual and offspring survival; however, the mapping of these traits onto fitness is thought to be dependent on the environmental niche an organism occupies. The LSJ2-derived deletion in nurf-1 modified life history tradeoffs to prioritize individual survival over reproduction; by shunting energy away from reproduction and growth, they increased their chances of surviving on poor, unnatural food. N2 animals grew on agar plates seeded with E. coli bacteria, which they can readily consume and metabolize into a useful energy source. In these conditions, survival is not the primary concern; each animal has three days to eat as much food as possible and produce as many progenies as possible to maximize the probability one of their offspring is transferred to the new food source. It is reasonable to think that the N2 and LSJ2 laboratory conditions represent opposite extremes along a life history axis encompassing individual survival and reproduction. The N2 mutation favors reproduction while the LSJ2 mutation favors survival.
In humans, genetic alterations in BPTF have been reported in several types of cancer and a role of BPTF in transcriptional regulation by c-MYC has been demonstrated, in agreement with its chromatin-binding function (Richart et al., 2016). Using well-characterized and validated antibodies against BPTF, we found several molecular species with unexpected electrophoretic mobilities in human cancer cells (Figure 2—figure supplement 4). Using mass-spectrometry, we confirmed the presence of multiple BPTF peptides in the bands detected by western blotting (Figure 2—figure supplement 4). These findings raise the possibility that these protein sequence variants have non-canonical functions. Given that stress adaptation is a hallmark of cancer - allowing tumor cells to survive and evolve following Darwinian selection processes - and the role of nurf-1 in C. elegans demonstrated here, it is tempting to speculate a role for such diversity of isoforms in the life histories of cancer cells. However, our work simply shows that additional forms of BPTF exist. Whether they have a biological role still needs to be determined.
Split of nurf-1 into separate genes potentially resolves conflict between the Yin and Yang isoforms caused by shared exons
In a clade of Caenorhabditis nematodes, the nurf-1 gene has split into two separate genes, an example of gene birth resulting in the duplication of a portion of the nurf-1 gene. Multigene families are common in most species and protein domains are often shuffled between genes. While the importance of gene duplication is not controversial, the exact mutational events and evolutionary forces responsible for the fixation of independent genes with different functions is less understood. Here we seem to have uncovered an example of how gene sharing, specifically through the creation of unique isoforms, can contribute to this process. In the lineage that led to the C. elegans species, nurf-1 first evolved changes in isoform use, resulting in the creation and essential action of the nurf-1.d transcript, and the loss of essentiality of the long nurf-1.a transcript. In this case, partitioning of the biological function and protein domains in each nurf-1 isoform created diversification of protein products.
What are the evolutionary forces responsible for the split of nurf-1 into two genes? One possibility is developmental system drift. Under this scenario, the separation of the two isoforms into two distinct genes does not signify any important evolutionary change in the function of the two genes. Neutral processes are responsible for the initial fixation of the duplication and the change does not provide any future evolutionary benefit.
However, there are a few additional possible ways adaptive evolution could play a role. First, correlated with the separation of the Yin and Yang transcripts into two genes is the loss of the full-length nurf-1.a and nurf-1.q transcripts. Loss of these transcripts could have provided a fitness benefit for animals. Consider, in order to produce both the nurf-1.b and nurf-1.d transcripts (i.e. the Yin and Yang transcripts) in the same cell, there must be a mechanism to distinguish between transcripts containing the 1st to 15th exons (the nurf-1.b transcripts) and transcripts initiating from the 14th exon (the nurf-1.d transcripts). In the former case, the 15th exon is spliced to the 16th exon to terminate the transcript. In the latter case, the 15th exon is spliced to the 17th exon, along with the remaining 3' exons. Alternatively, the cell might not distinguish between transcripts, but uses each alternative splice site at a constant ratio (i.e. 80% of the time, the 15th exon is spliced to the 16th exon and 20% of the time, the 15th exon is spliced to the 17th exon). In the latter scenario, two additional transcripts must be produced. Intriguingly, these two transcripts match nurf-1.a and nurf-1.q, suggesting these transcripts are non-functional biproducts of molecular conflict between nurf-1.b and nurf-1.d. Potentially, production of the nurf-1.a and nurf-1.q transcripts could come at an energetic cost.
Multiple lines of evidence are consistent with the nurf-1.a and nurf-1.q transcripts playing non-biological roles. First, while the nurf-1.q transcript is produced at high levels, we were unable to observe its product in our immunoblots, suggesting that it is either not translated or the protein product is rapidly degraded. Second, our genetic tests were unable to identify a biological role for nurf-1.a. Third, we observe a loss of both the nurf-1.a and nurf-1.q transcripts in the species that have split nurf-1 into two genes. It would have been quite easy for these species to retain expression of nurf-1.q in their current configuration, either through a promoter in front of the 14th exon in the nurf-1–1 gene, or an alternative stop exon after the 2nd exon of the nurf-1–2 gene, since both of these elements existed in the ancestral state.
Second, duplication of the shared exons could facilitate future evolutionary change. Escape from adaptive conflict is a mechanism by which gene duplication can resolve the situation where a single gene is selected to perform multiple roles (Des Marais and Rausher, 2008). After duplication, each copy is free to improve its function independently. As organisms evolve, recruitment of NURF to specific loci could be accomplished by changing its binding with specific transcription factors through amino acid changes in NURF-1. The most rapidly evolving portion of the protein is within the 14th and 15th exons, suggesting positive selection acts on this region of the protein, potentially changing the transcription factors NURF-1 binds to. One issue that arises in species containing a single nurf-1 gene is the pleiotropy of genetic changes in the shared region; changing the amino acid sequence of the B isoform also changes the D isoform. Are there situations where modifying one isoform but not the other is preferred? In the clade of nematodes that have duplicated nurf-1, each gene is free to evolve independently. We present evidence that in these species, the duplicated region is free to evolve more rapidly. It should be interesting to characterize the exact function of this duplicated region and determine if these changes in protein sequence facilitate changes in transcription factor binding in an adaptive manner.
Conclusion
A fundamental problem in evolutionary biology is understanding the genetic mechanisms responsible for phenotypic diversity in extant species. Here, we present one route to address this problem. Experimental evolution and genetic analysis can be used to identify evolutionary relevant genes and understand their function. This knowledge can be leveraged to understand patterns of evolution of these genes in other species. We believe that merging genetics, genomics, and molecular evolution is a powerful approach to understand the evolutionary mechanisms responsible for long-term adaptation and species level differences.
Materials and methods
Strains
The following strains were used in this study:
Near isogenic lines (NILs)
Request a detailed protocolCX12311 (N2*): kyIR1(V, CB4856 > N2), qgIR1(X, CB4856 > N2),
PTM66 (NIL(nurf-1,LSJ2>N2*)): kyIR87(II, LSJ2 > N2); kyIR1(V, CB4856 > N2), qgIR1(X, CB4856 > N2)
CRISPR-generated allelic replacement lines (ARLs)
PTM88 (ARLdel, LSJ2>N2): kyIR1(V, CB4856 > N2); qgIR1(X, CB4856 > N2); nurf-1(kah3)II; spe-9(kah132)I
PTM416 (ARLintron,LSJ2>N2): nurf-1(kah127)II
PTM417: kyIR1(V, CB4856 > N2); qgIR1(X, CB4856 > N2); nurf-1(kah3)II
CRISPR-generated barcoded strains
Request a detailed protocolPTM229: dpy-10(kah82)II
PTM288: kyIR1(V, CB4856 > N2); qgIR1(X, CB4856 > N2); dpy-10(kah82)II
CRISPR-generated epitope-tagged strain
Request a detailed protocolPTM420 (HA-FLAG): nurf-1(kah124,kah133)II,
CRISPR-generated STOP codons replacement lines
Request a detailed protocolPTM98 (exon23): nurf-1(kah11)II
PTM203 (exon26): nurf-1(kah68)II
PTM316 (exon 1): nurf-1(kah90)II/oxTi924 II
PTM317 (exon 2): nurf-1(kah91)II/oxTi924 II
PTM319 (exon 15): nurf-1(kah93)II/oxTi924 II
PTM322 (exon 18): nurf-1(kah96)II/oxTi924 II
PTM325 (exon 19): nurf-1(kah99)II/oxTi924 II
PTM332 (exon 2): nurf-1(kah106) II/oxTi924 II
PTM487 (exon 7): nurf-1(kah142) II/oxTi721 II
CRISPR-generated domain replacement lines
Request a detailed protocolPTM113 (PHD1): nurf-1(kah16)II,
PTM116 (PHD2): nurf-1(kah19)II,
PTM117 (PHD2): nurf-1(kah20)II,
PTM118 (Bromodomain): nurf-1(kah21)II,
PTM167 (Bromodomain): nurf-1(kah32)II,
PTM170 (double PHD): nurf-1(kah19,kah36)II,
PTM189 (three domains): nurf-1(kah19,kah36,kah54)II,
PTM211 (double PHD): nurf-1(kah66,kah73)II
MosSCI transgenic strains
Request a detailed protocolPTM371: nurf-1(kah93) II/oxTi721 II; kahSi7,
PTM372: nurf-1(kah96) II/oxTi721 II; kahSi7,
PTM373: nurf-1(kah99) II/oxTi721 II; kahSi7,
PTM376: nurf-1(n4295) II; kahSi7,
PTM517: kyIR1 (V, CB4856 > N2); qgIR1 (X, CB4856 > N2); nurf-1(kah3) II; kahSi7
CRISPR-generated deletion strains:
Request a detailed protocolPTM512 (23rd exon deletion): nurf-1(kah149) II
PTM489 (HA-FLAG + 23rd exon deletion): nurf-1(kah124,kah133,kah144)II
Other double mutants:
Request a detailed protocolPTM354: nurf-1(n4295, kah113) II/oxTi924 II
Strain construction
Previously described strains
Request a detailed protocolCX12311, PTM66, and PTM88 were all previously described (McGrath et al., 2011; Large et al., 2016).
CRISPR-generated allelic replacement lines (ARLs)
Request a detailed protocolWe used the coCRISPR protocol to generate all CRISPR-edited lines using single-strand oligonucleotides to make precise edits (Arribere et al., 2014; Paix et al., 2015).
Resequencing of the PTM88 strain identified a number of background mutations, including an A to G missense SNV that is predicted to change an asparagine to an aspartic acid which we named kah132. The flanking sequence of this mutation is 5’-cgacaatgac[a]atcgccaggg-3’. We backcrossed out this spe-9(kah132) mutation, along with additional background mutations, to create PTM417.
To create PTM416, we designed a number of guide RNAs nearby the intron SNV. However, we were unable to identify editing events using these guide RNAs, putatively due to the high usage of As and Ts.
We turned to a two-step strategy to create the edit, first creating a deletion of the 2nd intron along with flanking exon regions using guide RNAs with high predicted efficiency. We created the following constructs driving the following sgRNAs:
5’- TCGATAATTATCCGTTTGT(GGG) −3’,
5’- TTGCATCATATCCCACAAA(CGG) - 3’,
5’- ACGGTAGCTCATGAAGAGA(AGG) −3’ and 5’- TTCCGACGAATATAAGAAA(CGG) −3’
We also ordered an oligonucleotide repair:
5’-GTCTGTTAGAGATGCTATTAATGTCGATAATTATCgctaccataggcaccacgagcgagATTCGTCGGAATTTAAGAAACTTGTGAATAATGTT −3’
We injected 50 ng/μl of Peft-3::Cas9, 25 ng/μl of dpy-10 sgRNA, 500 nM dpy-10(cn64) repair oligo, 10 ng/μl of each of the nurf-1 sgRNAs listed above, and 500 nM of the repair oligonucleotide into CX12311 animals.
Jackpot broods were identified and roller animals were genotyped using the following primers along with the BanI restriction enzyme:
5’- GCAGGCCGGCCTTCGCGCCTGGGTAATACC −3’ and
5’- CGGCAGTTTTCGTCGTTCTG −3’
A single heterozygote worm was identified. Wild-type heterozygote progeny were identified (to remove the linked dpy-10 mutation) and this mutation was balanced (homozygous animals were sterile) with an integrated GFP marker near the nurf-1 gene (oxTi924). This strains was frozen with the following genotype: PTM366 nurf-1(kah125)/oxTi924 II; kyIR1 (V, CB4856 > N2); qgIR1 (X, CB4856 > N2) X.
For the second step, we crossed PTM366 to PTM66 animals and selected non-fluorescing animals to create nurf-1(kah125)/kyIR87(II, LSJ2 > N2); kyIR1 (V, CB4856 > N2); qgIR1 (X, CB4856 > N2) X compound heterozygote animals. We used the following sgRNAs to specifically target the nurf-1(kah125) homologous chromosome:
5’- ATctcgctcgtggtgccta(tgg) −3’ and 5’- TTCCGACGAATctcgctcg(tgg) −3’
The 2nd homologous chromosome, containing the kyIR87 introgression was used as a repair construct. We injected 50 ng/μl Pelt-3::Cas9, 10 ng/μl dpy-10 sgRNA, 500 nM dpy-10(cn64) repair oligo and 25 ng/μl of each nurf-1 sgRNA. Roller animals were then PCR genotyped to screen for animals that were homozygous for the LSJ2 allele at the intron and heterozygote for the 60 bp deletion.
After screening, the target genotype was made homozygous. This strain was named PTM410 kyIR1 (V, CB4856 > N2); qgIR1 (X, CB4856 > N2); nurf-1(kah127)II. PTM416 was created by backcrossing the PTM410 strain to the N2 background using an RFP fluorescent nurf-1 balancer (oxTi721) strain for four generations. We genotyped the npr-1 and glb-5 sites to verify that PTM416 did not carry the introgressions surrounding these genes.
CRISPR-generated isotope-tagged lines
Request a detailed protocolTo create the PTM420 epitope-tagged strain the following guide RNA and repair oligo was used to first add an HA epitope tag into the 16th exon:
5’-TGGCACTTGCTCAGTTGTGG-3’
5’-TTTTGTCAAATTTGGAGCCGTTTGGGGAACCTCTAggcgtagtcggggacgtcgtatgggtatcctcctcctcctcctcccTGcTGtTCgTCTGGgACcTGCTCgGTTGTaGTaGAAACTGCGAAACCAGTCGCGTCATCAGGCATGTC-3’
The following injection mix was used: 50 ng/μl Peft-3::Cas9, 10 ng/μl dpy-10 sgRNA, 500 nM dpy-10(cn64) repair oligo, 25 ng/μl of sgRNA, and 500 nM repair oligonucleotide.
We next added a 3xFLAG tag to the C-terminal of nurf-1 gene using purified Cas9 protein (IDT, Catalog #1074181) and in vitro synthesized RNAs (Synthego) using a modified protocol (Prior et al., 2017). The injection mix was prepared as follows: 2 μM dpy-10 sgRNA (RNA scaffold 5’- GCUACCAUAGGCACCACGAG −3’ + tracrRNA) and 4 μM of two sgRNAs that targeted this region (RNA scaffold: 5’- CUCAUAAGUUCGCAUCCAG −3’+ tracrRNA, 5’- UUCGGAUCAGCUGUUGCCAC −3’+ tracrRNA) were mixed and incubated in a thermocycler at 95°C for five minutes, then 2.5 μg/ul Cas9 protein was added and incubated at room temperature for five minutes. Finally, 0.2 μM dpy-10 repair oligo and 0.5 μM FLAG repair oligo were added to mix and incubate at room temperature for 60 min. This mix was injected into the HA-tagged strain to create the double epitope tagged line.
CRISPR-generated STOP codon replacement lines, PHD/bromodomain replacement lines, and deletion lines
Request a detailed protocolThe following injection mix was used to create each of these strains: 50 ng/μl Peft-3::Cas9, 10 ng/μl dpy-10 sgRNA, 500 nM dpy-10(cn64) repair oligo, 25 ng/μl of sgRNA, and 500 nM repair oligonucleotide. For each strain/allele, each of the specific sgRNAs and repair oligos used to construct it are listed in Supplementary file 3. To facilitate the genotyping process, some of the repair oligos for STOP codon replacement sites contain restriction sites that will alter some of the amino acids, exact changes are listed in Supplementary file 4. In C. elegans nomenclature, Identical edits must be given different allele names if they were isolated independently.
For mutants that were sterile (or lead to sterility), we balanced these mutations using a GFP (oxTi924) or mCherry (oxTi721) integrated marker near nurf-1.
MosSCI transgenic strains
Request a detailed protocolMosSCI strain construction was done following standard protocol from Frøkjær-Jensen et. Al (Frøkjær-Jensen, 2015). Injection mix was prepared as following: 38 ng/ul pCFJ601 (Mos1 transposase), 30 ng/ul pCFJ151 - Pnurf-1.d::nurf-1.d-SL2-GFP (insertion vector with homologous arms), 2.5 ng/ul pCFJ90 (Pmyo-2::mCherry), 5 ng/ul pCFJ104). This was injected into EG6699 uncoordinated animals. Three injected animals were placed on a single plate at 30°C to facilitate starvation. After 5 days, coordinated animals with GFP fluorescence and no red fluorescence were singled to new NGM plates and allowed to proliferate. Their progenies were singled and a single homozygote without uncoordinated offspring was maintained. This homozygote was then backcrossed to N2 for four generations to remove unc-119(ed3) III to create the PTM337 strain containing the integrated rescue construct. This strain was then crossed to a variety of nurf-1 alleles using standard protocols.
Cell culture
Request a detailed protocolThe following human cancer cell lines were used: Colo-205 (colorectal), MCF-7 and MDA-MB-231 (breast), and HeLa (cervix) were obtained from the American Type Culture Collection (Rockville, MD); A549 (lung) was kindly provided by G. Roncador, CNIO. Cells were authenticated using STR profiling, tested for mycoplasma contamination and negative. Cells were cultured in DMEM (Sigma-Aldrich) supplemented with 10% FBS (HyClone, Logan, UT, USA), except for A549 which were cultured in RPMI (Sigma-Aldrich) supplemented with 10% FBS and sodium pyruvate (Thermo Scientific).
Molecular biology
Request a detailed protocolAll sgRNAs were constructed using NEB Q5 site directed mutagenesis kit (E0554) using primers
5’- [unique sgRNA protospacer sequence] + GTTTTAGAGCTAGAAATAGCAAGT −3’ and
5’- CAAGACATCTCGCAATAGG −3’ to modify a vector backbone containing a subclone of pDD163 containing the U6 promoter to drive sgRNAs in germline1.
To create the pCFJ151 - Pnurf-1.d::nurf-1.d-sl2-GFP plasmid, a nurf-1.d cDNA was isolated from reverse transcribed RNA using primers containing NheI restriction sites. This PCR product was then digested and ligated to a pSM vector. A 2890 bp long promoter region immediately upstream of the nurf-1.d isoform was amplified with a forward primer including FseI and a reverse primer including AscI restriction sites. This PCR product was then digested and ligated into the vector constructed in step 1. Third, an SL2-GFP sequence from was cut and ligated into the new vector using KpnI and SpeI restriction sites. Finally, this entire sequence containing the promoter, cDNA and sl2::GFP sequence was inserted into the pCFJ151 vector using NEB Q5 site directed mutagenesis kit.
Nematode growth conditions
Request a detailed protocolThe animals were cultured on 6 cm standard nematode growth medium (NGM) plates containing 2% agar seeded with 200 μl of an overnight culture of the E. coli strain OP50. Growth temperature was controlled using a 20°C incubator. Strains were grown for at least three generations without starvation before any experiments was conducted.
nurf-1 conserved regions
Request a detailed protocolThe predicted protein sequence for the NURF-1.A protein isoform was BLAST-searched against human or Drosophila melanogaster protein databases using NCBI blastp (McGinnis and Madden, 2004). Regions with alignment scores above 50 were annotated as homologous regions. These homologous regions were further verified through multiple sequence alignmentwith Clustal Omega program (Chojnacki et al., 2017).
Competition experiment
Request a detailed protocolCompetition experiments were performed as described previously (Zhao et al., 2018).
RNA-seq analysis
RNA-seq samples for comparing the effect of the nurf-1 intron SNV
Request a detailed protocolN2 and PTM416 worms were synchronized using a 3 hr hatch-off. Worms were observed every hour after 46 hr until the majority were in the L4 stage (which occurred at 48 hr). Four hours later, worms were collected and kept frozen in −80°C freezer until RNA extraction for the 52 hr timepoint. Eight hours later, young adult animals were collected and kept frozen in the −80°C freezer until RNA extraction for the 60 hr timepoint.
RNA-seq samples for comparing effect of the two derived nurf-1 mutations
Request a detailed protocolCX12311, PTM66, PTM88, LSJ2 L4 hermaphrodites were picked to fresh NGM agar plates. Their adult progeny were bleached using alkaline-bleach solution to isolate eggs for synchronization. The eggs were washed with M9 buffer for three times and placed on a tube roller overnight. About 400 hatched L1 animals were placed on NGM agar plates and incubated at 20°C until they reach young adulthood, as determined by when eggs were observed on assay plates. These worms were then harvested, washed 3 times with M9 buffer, and frozen in a −80°C freezer for later processing.
RNA-seq samples for heat shock
Request a detailed protocolN2 and PTM416 worms were synchronized using a 3 hr hatch-off. Eggs were cultured at 20°C until they reached L4 stage. Heat shock assay plates were then wrapped with parafilm and placed in a water bath pre-heated to 34°C for 2 hr or 4 hr. Worms were either collected right after heat shock or after 30 min at 20°C for the recovery group.
For each of the above experiments, RNA was isolated using Trizol. The RNA libraries were prepared using an NEBNext Ultra II Directional RNA Library Prep Kit (E7760S) following its standard protocol. The libraries were sequenced by an Illumina NextSeq 500. The reads were aligned by HISAT2 using default parameters for pair-end sequencing (Kim et al., 2015). These aligned reads were then visualized in IGV browser (Robinson et al., 2011) to examine nurf-1 splice junction track (as shown in Figure 2—figure supplement 1). Transcript abundance was calculated using featureCount and then used as inputs for the SARTools. SARTools use edgeR for normalization and gene-level differential analysis (Varet et al., 2016) and output the multidimensional scaling plot for each transcriptome analysis project. Differentially expressed genes were determined for comparisons have adjusted p-value<0.05. Genes upregulated and downregulated are plotted separately for the tissue and stage analysis. Each gene was normalized by dividing the sum of its expression level across all stages and this normalized table was used for hierarchical clustering analysis. Sequencing reads were uploaded to the SRA under PRJNA526473.
Kallisto was used to quantify abundances of nurf-1 transcripts (Bray et al., 2016). We first created our own reference transcriptome by modifying the transcripts in Wormbase published reference transcriptome to restrict our analysis to the nurf-1.a, nurf-1.b, nurf-1.d, nurf-1.f and nurf-1.q isoforms. Alternative splicing sites in the 10th, 16th, and 21st exons were also removed from this reference database to ensure they were consistent between all isoforms. We used wildtype L2 RNA-seq data from Brunquell et. al to quantify wildtype nurf-1 abundance (Brunquell et al., 2016) and extracted tpm(transcripts per million) data from Kallisto output abundance table. We used RNA-seq data from PRJNA311958 and PRJNA321853 (Brunquell et al., 2016) (Li et al., 2016) to quantify the heat shock response of nurf-1 isoforms in Figure 4—figure supplement 2B.
Western blot
Request a detailed protocol4 N2 and PTM420 gravid hermaphrodites were picked to fresh 5.5 cm NGM agar plates. Worms were collected just prior to starvation using M9 buffer and stored at −80°C until protein extraction. At least 4 plates of worms were used for each protein isolation. Worms were condensed by centrifugation and 2x sample buffer (100 mM Tris-HCl pH 6.8M, 200 mM dithiothreitol, 4% SDS, 0.2% Bromophenol Blue, 20% glycerol) was added in 1:1 w/v ratio. 1 μl of 500 mM EDTA and 1 μl of Halt protease inhibitor cocktail (100x) (Catalog number: 78430) were added for every 100 ng of worm sample. The protein sample was vortexed for 90 s and incubated on ice for about 1 min. Samples were then sonicated in a Bransonic 0.5 gallon ultrasonic bath filled with hot water > 80°C for 10 min and immediately placed on ice for 2 min. We then boiled the samples for 5 min and placed on ice to cool down. The sample was centrifuged at 12,000 rpm for 5 min and the supernatant was transferred to new tubes.
All samples were loaded on 5% SDS-PAGE gel at 3 μl, 5 μl and 7 μl volumes followed by Coomassie blue staining and washing steps. Gels were then dried using DryEase Mini-Gel Drying System (Invitrogen, Catalog number: NI2387). These gels were used to normalize protein loading volume for different samples.
Each sample was loaded onto a freshly made 6% or 10% SDS-PAGE gel and run at 25 mA. Gel samples were then transferred in 10 mM CAPS pH 10.5 buffer at 20 V and 20 mA for 17 hr to a PVDF membrane. Protein products with HA tag were detected using 1:500 anti-HA antibody (Life Technologies, Catalog number: 326700), NURF-1.D isoform with FLAG tag was detected using 1:1000 PIERCE ANTI-DYKDDDDK antibody (Life Technologies, Catalog number: MA191878) and NURF-1.F isoform with FLAG tag was detected using 1:1000 Millipore ANTI-FLAG antibody (Millipore Sigma, Catalog number: F3165).
For western blots of cancer cell lines, cells were lysed in 1% NP-40 buffer supplemented with protease and phosphatase inhibitors. Following sonication, clearing by centrifugation, and protein quantification, samples (100 μg) were subjected to electrophoresis in NuPAGE 3–8% Tris-acetate precast polyacrylamide gels (Thermo Scientific). Samples were run under reducing conditions and then transferred to nitrocellulose membranes, which were blocked with TBST, 5% skim milk. Membranes were incubated with primary antibodies detecting the following proteins: BPTF (NB100-41418, Novus Biologicals) (1:1,000) and Vinculin (V9131-2ML, Sigma-Aldrich) (1:10,000). This was followed by incubation with horseradish peroxidase-conjugated secondary antibodies (Dako, Glostrup, Denmark) (1:10,000). Reactions were detected using an ECL detection system and Bio-Rad ChemiDoc MP Imaging System (Hercules, CA, USA).
Egg-laying analysis
Request a detailed protocolEgg laying assays were performed as previously described (Large et al., 2016). All egg-laying assays were carried out at 20°C using standard 3 cm NGM plates seeded with the OP50 strain of Escherichia coli. OP50 were prepared freshly by streaking a glycerol stock of OP50 on an LB plate and letting grow at 37°C overnight. A single colony was then picked to 5 ml fresh LB and cultured overnight in a shaking incubator at 200 rpm. 1 ml of the overnight culture was used to inoculate 200 ml of LB for 4–6 hr of growth at 37°C with shaking. The 200 ml OP50 culture was concentrated via centrifugation to an OD600 of 2.0 and this culture was used for seeding experimental plates with 50 μl aliquots. All experimental plates were prepared the week of the assay and left at 22.5°C 18–24 hr following seeding. Plates were then placed at 4°C until the day of the assay and warmed to 20°C for 12 hr before each time point.
For strains that have severe reduced fertility when homozygous, one L4 nematode was transferred to the 50 μl experimental plate. The number of eggs laid were measured every 12 or 24 hr, and eggs laid per hour was calculated by dividing the time range and number of animals left on each plate at each timepoint. At least 10 replicates were assayed for each strain.
For other strains, six fourth larval stage (L4) nematode was transferred to the 50 μl experimental plate. The number of eggs laid were measured every 12 or 24 hr, and eggs laid per hour was calculated by dividing the time range and number of animals left on each plate at each timepoint. Six replicates were assayed for each strain.
Fecundity was calculated by summing up all eggs laid for each worm.
Analysis of growth rate using body sizes
Request a detailed protocolFor strains with mutations in PHD or bromodomains, growth analysis were performed as previously described (Large et al., 2016). For other strains, video recordings were analyzed similarly, with the exception that each animal was registered between each video frame and used to calculate an average area for each individual worm. For strains that were balanced with fluorescent markers, only non-fluorescent worms were picked for video tracking.
Sperm and oocyte counting analysis
Request a detailed protocol4 N2, PTM332, PTM319 and PTM332 gravid hermaphrodites were picked to fresh 5.5 cm NGM agar plates. After 3 days, 20–30 non-fluorescent L4 worms were picked to a new NGM plate and let grow at 20°C for 12 hr. Worms were then picked to a drop of M9 buffer on a Fisher Superfrost Plus slide (22-037-246). Fixation was done through applying 95% ethanol for three times. A drop of Vector Laboratories Vectashield Mounting Medium with DAPI (H-1500) was added and a coverslip was applied and sealed with nail polish. Z-stack images were captured through a moving-stage Olympus IX73 microscope under 40x objective. Oocytes were counted while imaging and sperm number was measured manually by analyzing z-stack images on ImageJ through the CellCounter plugin.
Genomic and transcriptomic analysis of nurf-1 in additional Caenorhabditis species
Request a detailed protocolTo identify nurf-1 orthologs, we used homology information included in www.wormbase.org or by BLAST-searching C. elegans protein sequences against protein data provided by the Caenorhabditis genome project (http://blast.caenorhabditis.org). Genomic regions that contain the identified nurf-1 orthologs and related gff3 annotation data were downloaded from download.caenorhabditis.org or the WormBase public FTP site (data from Stein et al., 2003) (Mortazavi et al., 2010; Fierst et al., 2015; Slos et al., 2017; Kanzaki et al., 2018; Yin et al., 2018; Lamelza et al., 2019). Species with public RNA-seq data were identified in the SRA database. These reads were downloaded and aligned to corresponding nurf-1 DNA reference sequence for each species using HISAT2 and further manipulated using SAMTOOLS (Li et al., 2009; Kim et al., 2015). Gene annotations were manually corrected by inspecting the RNA-seq predicted intron sequences and used to generate Sashimi plots using the IGV browser (Robinson et al., 2011; Katz et al., 2015). The Sashimi Plot parameter Junction Coverage Min was adjusted for each species to best visualize the exon-exon junctions based upon coverage data. To identify the duplicated region for the NURF-1.B and NURF-1.D isoforms, we blasted each B isoform against a database of the D isoforms, and vice-versa. The homologous regions for each protein were refined using a multiple sequence alignment of NURF-1.B and NURF-1.D proteins using Jalview (Waterhouse et al., 2009). For some of the species that we were unable to resolve the full nurf-1 region (due to missing sequence for part of the region), we were able to identify the duplicated region and included this in the phylogenetic analysis.
Phylogenetic analysis
Request a detailed protocolWe aligned the protein sequences of the duplicated region from the nurf-1 loci of 21 Caenorhabditis species using MAFFT (Katoh and Standley, 2013). We also aligned the protein sequences for regions outside the duplicated region. Maximum likelihood trees were estimated for each alignment along with 1000 ultrafast bootstraps (Hoang et al., 2018) using IQ-TREE (Nguyen et al., 2015), allowing the best-fitting substitution model to be automatically selected (Kalyaanamoorthy et al., 2017). We noted that the resulting topology recovered for the duplicated region was incongruent with the species tree, likely due to limited phylogenetic signal in the short alignment (Figure 6—figure supplement 6). To address this, we instead assessed the levels of support for alternative phylogenetic hypothesis surrounding the number and timing of duplication events that we congruent with the species tree. Log-likelihoods were calculated for each topology and an approximately unbiased (AU) test (Shimodaira, 2002) was performed using IQ-TREE. Newick trees were visualized using the iTOL web server (Letunic and Bork, 2016).
For three pairs of closely-related sister taxa (C. briggsae/C. nigoni, C. latens/C. remanei, and C. afra/C. sulstoni), we aligned the protein sequences of both nurf-1–1 (nurf-1.b) and nurf1-2 (nurf-1.d) using MAFFT and converted the resulting alignments to nucleotide alignments using PAL2NAL (Suyama et al., 2006). We calculated the dN/dS ratio (Ka/Ks) separately for the duplicated and non-duplicated portions of each alignment using the dnds Python module (available at: https://github.com/adelq/dnds).
Statistics
Sample size was calculated by following replicate numbers using previously published assays. Each data point was considered a biological replicate. Animals for each replicate were grown independently for at least three generations. Significant differences between two means were determined using two-tailed unpaired t-test. To correct for multiple comparison, we used the Tukey multiple comparison test.
Proteomics
Request a detailed protocolMCF-7 whole cell extracts were obtained by lysis in either NP-40 (see above) or Laemmli buffer, in both cases supplemented with protease inhibitors and loaded in NuPAGE 3–8% Tris-acetate precast polyacrylamide gels (75 μg of protein per well). Gels were cut into two slices for western blotting and Coomassie staining. Gels bands running at the mobility of BPTF signals detected by western were digested with trypsin as previously described (Shevchenko et al., 2006). Briefly, gel bands were cut into 1 mm2 cubes and de-stained with 50 mM ammonium bicarbonate (ABC) solution. Then proteins were reduced with 15 mM TCEP and alkylated with 30 mM CAA at 45°C, for 45 min in the dark. Proteins were digested with 200 ng of Trypsin (Promega) overnight at 37°C in 50 mM ABC. Resulting peptides were desalted using homemade reversed phase micro-columns containing C18 Empore disks (3M) at the bottom of the tip. Samples were dried down using a Speed-Vac and dissolved in 22 µL of loading buffer (0.2% formic acid) prior LC-MS/MS analysis.
LC-MS/MS was performed by coupling an Ultimate 3000 RSLCnano System (Dionex) with a Q-Exactive Plus mass spectrometer (Thermo Scientific). Peptides were loaded into a trap column (Acclaim PepMap 100; 100 µm × 2 cm; Thermo Scientific) over 3 min at a flow rate of 10 µl/min in 0.1% formic acid (FA). Then peptides were transferred to an analytical column (PepMap rapid separation liquid chromatography C18; 2 µm, 75 µm × 50 cm; Thermo Scientific) and separated using a 90 min effective linear gradient (buffer A: 0.1% FA; buffer B: 100% acetonitrile, 0.1% FA) at a flow rate of 250 nl/min. The gradient used was as follows: 0–5 min 4% B, 5–7.5 min 6% B, 7.5–60 min 17.5% B, 60–72.5 min 21.5% B, 72.5–80 min 25% B, 80–94 min 42.5% B, 94–94.1 min 98% B, 94.1–99.9 min 98% B, 99.9–100 min 4% B and 100–104.5 min 4% B. The peptides were electrosprayed (2.1 keV) into the mass spectrometer through a heated capillary at 300°C and an S-Lens radio frequency (RF) level of 50%. The mass spectrometer was operated in a data-dependent mode, with an automatic switch between the MS and MS/MS scans using a top 15 method (minimum automatic gain control target, 3E3) and a dynamic exclusion time of 26 s. MS (350–1,400 m/z), and MS/MS spectra were acquired with a resolution of 70,000 and 17,500 full width at half maximum (FWHM; 200 m/z), respectively. Peptides were isolated using a 2 Thompson unit (Th) window and fragmented using higher-energy collisional dissociation at 27% normalized collision energy. The ion target values were 3E6 for MS (25 ms maximum injection time) and 1E5 for MS/MS (45 ms maximum injection time).
Raw files were processed with MaxQuant (v 1.6.2.6) using the standard settings against a human protein database (UniProtKB/Swiss-Prot, 20,373 sequences) including all annotated BPTF isoforms deposited in TrEMBL and supplemented with contaminants. Carbamidomethylation of cysteines was set as a fixed modification whereas oxidation of methionines and protein N-term acetylation were set as variable modifications. Minimal peptide length was set to seven amino acids and a maximum of two tryptic missed-cleavages were allowed. Results were filtered at 0.01 FDR (peptide and protein level).
Data availability
Sequencing reads were uploaded to the SRA under PRJNA526473.
-
NCBI Sequence Read ArchiveID PRJNA526473. RNAseq of C. elegans under different genetic background and heat shock treatment to study the roles of different isoforms of nurf-1.
-
NCBI Sequence Read ArchiveID PRJNA321853. RNA-seq analysis in C. elegans larval development and heat shock.
-
NCBI Sequence Read ArchiveID PRJNA311958. The genome-wide role of HSF-1 in the regulation of gene expression in Caenorhabditis elegans.
References
-
The nucleosome remodeling factorFEBS Letters 585:3197–3207.https://doi.org/10.1016/j.febslet.2011.09.003
-
Taste receptor genesAnnual Review of Nutrition 27:389–414.https://doi.org/10.1146/annurev.nutr.26.061505.111329
-
Biological functions of the ISWI chromatin remodeling complex NURFGenes & Development 16:3186–3198.https://doi.org/10.1101/gad.1032202
-
Isolation of human NURF: a regulator of engrailed gene expressionThe EMBO Journal 22:6089–6100.https://doi.org/10.1093/emboj/cdg582
-
Trans-splicing and operons in C. elegansWormBook : The Online Review of C. Elegans Biology.https://doi.org/10.1895/wormbook.1.5.2
-
Near-optimal probabilistic RNA-seq quantificationNature Biotechnology 34:525–527.https://doi.org/10.1038/nbt.3519
-
Partial selfing can reduce genetic loads while maintaining diversity during experimental evolutionG3: Genes|Genomes|Genetics 9:2811–2821.https://doi.org/10.1534/g3.119.400239
-
Programmatic access to bioinformatics tools from EMBL-EBI update: 2017Nucleic Acids Research 45:W550–W553.https://doi.org/10.1093/nar/gkx273
-
Sperm-limited fecundity in Nematodes: how many sperm are enough?Evolution 58:651–655.
-
Transposon-Assisted genetic engineering with Mos1-Mediated Single-Copy insertion (MosSCI)Methods in Molecular Biology 1327:49–58.https://doi.org/10.1007/978-1-4939-2842-2_5
-
Binding of Acf1 to DNA involves a WAC motif and is important for ACF-mediated chromatin assemblyMolecular and Cellular Biology 22:6344–6353.https://doi.org/10.1128/MCB.22.18.6344-6353.2002
-
Transcriptional regulator BPTF/FAC1 is essential for trophoblast differentiation during early mouse developmentMolecular and Cellular Biology 28:6819–6827.https://doi.org/10.1128/MCB.01058-08
-
Mainstreaming Caenorhabditis elegans in experimental evolutionProceedings of the Royal Society B: Biological Sciences 281:20133055.https://doi.org/10.1098/rspb.2013.3055
-
UFBoot2: improving the ultrafast bootstrap approximationMolecular Biology and Evolution 35:518–522.https://doi.org/10.1093/molbev/msx281
-
More is not better: brood size and population growth in a self-fertilizing nematodeProceedings of the Royal Society B. Biological Sciences 246:19–24.https://doi.org/10.1098/rspb.1991.0119
-
The evolution of functionally novel proteins after gene duplicationProceedings of the Royal Society B. Biological Sciences 256:119–124.https://doi.org/10.1098/rspb.1994.0058
-
The evolution of gene duplications: classifying and distinguishing between modelsNature Reviews Genetics 11:97–108.https://doi.org/10.1038/nrg2689
-
Evidence of abundant stop codon readthrough in Drosophila and other metazoaGenome Research 21:2096–2113.https://doi.org/10.1101/gr.119974.110
-
MAFFT multiple sequence alignment software version 7: improvements in performance and usabilityMolecular Biology and Evolution 30:772–780.https://doi.org/10.1093/molbev/mst010
-
HISAT: a fast spliced aligner with low memory requirementsNature Methods 12:357–360.https://doi.org/10.1038/nmeth.3317
-
Chromatin remodeling complex NURF regulates thymocyte maturationGenes & Development 25:275–286.https://doi.org/10.1101/gad.2007311
-
The sequence alignment/Map format and SAMtoolsBioinformatics 25:2078–2079.https://doi.org/10.1093/bioinformatics/btp352
-
The role of isoforms in the evolution of cryptic coloration in Peromyscus miceMolecular Ecology 26:245–258.https://doi.org/10.1111/mec.13663
-
BLAST: at the core of a powerful and diverse set of sequence analysis toolsNucleic Acids Research 32:W20–W25.https://doi.org/10.1093/nar/gkh435
-
Scaffolding a Caenorhabditis nematode genome with RNA-seqGenome Research 20:1740–1747.https://doi.org/10.1101/gr.111021.110
-
The repressor and activator forms of Cubitus interruptus control Hedgehog target genes through common generic gli-binding sitesDevelopment 127:2999–3007.
-
IQ-TREE: a fast and effective stochastic algorithm for estimating Maximum-Likelihood phylogeniesMolecular Biology and Evolution 32:268–274.https://doi.org/10.1093/molbev/msu300
-
No measurable fitness cost to experimentally evolved host defence in the Caenorhabditis elegans-Serratia marcescens host-parasite systemJournal of Evolutionary Biology 31:1976–1981.https://doi.org/10.1111/jeb.13372
-
Highly efficient, rapid and Co-CRISPR-Independent genome editing in Caenorhabditis elegansG3: Genes|Genomes|Genetics 7:3693–3698.https://doi.org/10.1534/g3.117.300216
-
BPTF is required for c-MYC transcriptional activity and in vivo tumorigenesisNature Communications 7:10153.https://doi.org/10.1038/ncomms10153
-
Evolution of the mutational process under relaxed selection in Caenorhabditis elegansMolecular Biology and Evolution 36:239–251.https://doi.org/10.1093/molbev/msy213
-
An approximately unbiased test of phylogenetic tree selectionSystematic Biology 51:492–508.https://doi.org/10.1080/10635150290069913
-
The laboratory domestication of Caenorhabditis elegansTrends in Genetics 31:224–231.https://doi.org/10.1016/j.tig.2015.02.009
-
Comparative genomics of 10 new Caenorhabditis speciesEvolution Letters 3:217–236.https://doi.org/10.1002/evl3.110
-
PAL2NAL: robust conversion of protein sequence alignments into the corresponding Codon alignmentsNucleic Acids Research 34:W609–W612.https://doi.org/10.1093/nar/gkl315
-
Genetic contributions to ectopic sperm cell migration in Caenorhabditis NematodesG3: Genes|Genomics|Genetics 8:3891–3902.https://doi.org/10.1534/g3.118.200785
-
Yin-Yang regulation of adiponectin signaling by APPL isoforms in muscle cellsJournal of Biological Chemistry 284:31608–31615.https://doi.org/10.1074/jbc.M109.010355
-
Evolutionary differences in food preference rely on Gr64e, a receptor for glycerolNature Neuroscience 14:1534–1541.https://doi.org/10.1038/nn.2944
-
BPTF is essential for T cell homeostasis and functionThe Journal of Immunology 197:4325–4333.https://doi.org/10.4049/jimmunol.1600642
-
Isoform evolution in primates through independent combination of alternative RNA processing eventsMolecular Biology and Evolution 34:2453–2468.https://doi.org/10.1093/molbev/msx212
Article and author information
Author details
Funding
National Institute of General Medical Sciences (R01GM114170)
- Patrick T McGrath
National Institute of General Medical Sciences (R01GM121688)
- Ronald E Ellis
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank the Caenorhabditis Genetics Center, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440), for strains, and WormBase for information. We are grateful to Rachael Workman and Winston Timp for sharing Oxford Nanopore reads of nurf-1 prior to publication. We thank Matthew Rockman, Luke Noble, Janna Fierst, Erich Schwarz, and Janet Young for access to unpublished genomic data. We thank F.X Real for support, valuable discussions, and comments on the manuscript and G Roncador and the CNIO Monoclonal Antibody Core Unit for helpful contributions. We also thank Todd Streelman, Greg Gibson, Soojin Yi, David Katz, Annalise Paaby, and members of the McGrath lab for discussions, and Annalise Paaby and Erik Andersen for comments on the manuscript. This work was supported by NIH R01GM114170 (to PTM), R01GM121688 (to R E E), and a CNIO friends/Juegaterapia grant (to IF). Work at CNIO was supported, in part, by grant RTI2018-101071-B-I00 from Ministerio de Ciencia, Innovación y Universidades. CNIO is supported by Ministerio de Ciencia, Innovación y Universidades as a Centro de Excelencia Severo Ochoa SEV-2015–0510.
Copyright
© 2019, Xu 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.
Metrics
-
- 1,400
- views
-
- 189
- downloads
-
- 5
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Evolutionary Biology
The ovules or seeds (fertilized ovules) with wings are widespread and especially important for wind dispersal. However, the earliest ovules in the Famennian of the Late Devonian are rarely known about the dispersal syndrome and usually surrounded by a cupule. From Xinhang, Anhui, China, we now report a new taxon of Famennian ovules, Alasemenia tria gen. et sp. nov. Each ovule of this taxon possesses three integumentary wings evidently extending outwards, folding inwards along abaxial side and enclosing most part of nucellus. The ovule is borne terminally on smooth dichotomous branches and lacks a cupule. Alasemenia suggests that the integuments of the earliest ovules without a cupule evolved functions in probable photosynthetic nutrition and wind dispersal. It indicates that the seed wing originated earlier than other wind dispersal mechanisms such as seed plume and pappus, and that three- or four-winged seeds were followed by seeds with less wings. Mathematical analysis shows that three-winged seeds are more adapted to wind dispersal than seeds with one, two or four wings under the same condition.
-
- Evolutionary Biology
The Xerces Blue (Glaucopsyche xerces) is considered to be the first butterfly to become extinct in historical times. It was notable for its chalky lavender wings with conspicuous white spots on the ventral wings. The last individuals were collected in their restricted habitat, in the dunes near the Presidio military base in San Francisco, in 1941. We sequenced the genomes of four 80- to 100-year-old Xerces Blue, and seven historical and one modern specimens of its closest relative, the Silvery Blue (Glaucopsyche lygdamus). We compared these to a novel annotated genome of the Green-Underside Blue (Glaucopsyche alexis). Phylogenetic relationships inferred from complete mitochondrial genomes indicate that Xerces Blue was a distinct species that diverged from the Silvery Blue lineage at least 850,000 years ago. Using nuclear genomes, both species experienced population growth during the Eemian interglacial period, but the Xerces Blue decreased to a very low effective population size subsequently, a trend opposite to that observed in the Silvery Blue. Runs of homozygosity and deleterious load in the former were significantly greater than in the later, suggesting a higher incidence of inbreeding. These signals of population decline observed in Xerces Blue could be used to identify and monitor other insects threatened by human activities, whose extinction patterns are still not well known.