He, Li, and Lv et al. took a genomics approach to study innate feeding behavior in mandarin fish. They identify genes related to predatory feeding that underwent rapid adaptive evolution. They also functionally validate the role of bmp4-edar pathway in inducing predatory feeding in zebrafish.
Mandarin fishes (Sinipercidae) are piscivores that feed solely on live fry. Unlike higher vertebrates, teleosts exhibit feeding behavior driven mainly by genetic responses, with no modification by learning from parents. Mandarin fishes could serve as excellent model organisms for studying feeding behavior. We report a long-read, chromosomal-scale genome assembly for Siniperca chuatsi and genome assemblies for Siniperca kneri, Siniperca scherzeri and Coreoperca whiteheadi. Positive selection analysis revealed rapid adaptive evolution of genes related to predatory feeding/aggression, growth, pyloric caeca and euryhalinity. Very few gill rakers are observed in mandarin fishes; analogously, we found that zebrafish deficient in edar had a gill raker loss phenotype and a more predatory habit, with reduced intake of zooplankton but increased intake of prey fish. Higher expression of bmp4, which could inhibit edar expression and gill raker development through binding of a Xvent-1 site upstream of edar, may cause predatory feeding in Siniperca.
IntroductionSlow-moving, easily digested and small zooplankton as well as benthic organisms are commonly the first foods consumed by various fishes, such as Mylopharyngodon piceus, Mugil soiuy, Macrura reevesii, and Hippoglossus hippoglossus1–3, in different ecological environments. For example, the first foods of yellow perch (Perca flavescens) larvae are copepod nauplii and cyclopoid copepods, and Bosmina coregoni becomes the dominant food after the fish reach a length of 11 mm4. Similarly, European perch (Perca fluviatilis) larvae first feed on Paramecium caudatum5. Atlantic cod (Gadus morhua) larvae feed on cultivated copepods (Acartia tonsa) at the first feeding6. Although the adults of these piscivorous fishes feed on other fish, their larvae can feed on zooplankton during the first feeding stages. In contrast, mandarin fishes (Sinipercidae) are innate and obligate piscivores; once their fry start feeding, they feed solely on live fry of other fish species and refuse zooplankton or formulated diets7,8. The feeding ability of mandarin fish larvae is affected by the availability of piscine prey. Furthermore, cannibalism occurring at the first feeding in mandarin fishes causes the death of both predator and prey, resulting in great economic losses in aquaculture. Currently, little is known about the molecular genetic factors that underlie predatory feeding and species-specific feeding habits.In higher vertebrates, such as mammals, the responses of primary centers are coordinated by correlation centers, and the cerebrum is the central region for memory. The results of experiences on which intelligence and learning are based are processed in this region9. In fish, on the one hand, learning of feeding habits is influenced by individual experience10. On the other hand, genetic factors have a decisive role in shaping fish feeding behaviors. This differs from the process in mammals and birds, where learning of feeding habits is determined by the parents. Therefore, in fish, in contrast to mammals, the study of predatory feeding behavior from first feeding could enable us to learn much more about the direct effects of genes and genetic factors on feeding habits at a large scale. Mandarin fishes might serve as excellent model organisms in this context.The four species in the Sinipercidae family, Siniperca chuatsi, Siniperca kneri, Siniperca scherzeri, and Coreoperca whiteheadi, which are widely distributed in China, exhibit significant differences in biology. Compared with S. chuatsi, S. scherzeri can easily be weaned onto dead prey fish or artificial diets11. S. kneri shows low growth performance12, whereas C. whiteheadi possesses fewer pyloric caeca13, which serves as an adaptation to increase the surface area and nutrient uptake capacity of the fish gut. Furthermore, compared with fish from marine habitats, such as Dicentrarchus labrax and Lates calcarifer, these four sinipercid fish live in freshwater but still possess the ability to adapt to salinity. However, genomic resources have not been established for Sinipercidae, and their species-specific adaptive evolution regarding predatory feeding, growth performance, pyloric cecum development and euryhalinity tolerance are poorly understood.S. chuatsi is an important aquaculture fish and is highly valued due to its excellent flesh quality. With an output value of more than 3 billion U.S. dollars (20 billion Yuan)14, the economic impact of S. chuatsi aquaculture far exceeds that of species that are produced at similar scales, such as gilthead sea bream and European sea bass. A main factor that limits sustainable aquaculture of S. chuatsi is its strict piscivory15.Here, we report the genome sequences of four members of the Sinipercidae. Single-molecule real-time (SMRT) long-read sequencing enabled a state-of-the-art chromosomal-scale genome assembly of S. chuatsi. The genomes of its close relatives S. kneri, S. scherzeri and C. whiteheadi were sequenced by Illumina sequencing and assembled with high quality in a cost-effective manner. In addition, comparative genomic analysis between mandarin fish genomes and genomes available for other ray-finned fishes (Actinopterygii) allowed us to gain insights into the genetic basis of species-specific biology in mandarin fishes. These results will support aquaculture breeding programs and research on mandarin fishes and lay a solid genetic foundation for understanding species-specific adaptations and the evolution of predatory feeding behavior.ResultsGenome assembly of S. chuatsiSMRT sequencing is the method of choice for de novo assembly of vertebrate genomes. In the case of S. chuatsi, Pacific Biosciences P6-C4 chemistry and long-read genome assembly16,17 delivered primary genome assemblies with N50 contig sizes in the range of 2–6 Mbp. By using remapped raw reads and synteny checks for scaffolding of the primary assemblies and subsequent gap closure, we were able to improve the contig N50 to 12.2 Mbp, which is 4–10 times greater than the values in similar teleost projects. Indeed, we were able to construct 96.7% of the assembled contig sequence length into 24 chromosomes using only a linkage map based on restriction site-associated DNA sequencing (RADseq). For an overview of the genome assembly steps and results, see Supplementary Fig. 1 and Supplementary Tables 1 and 2. Of 2166 linkage group markers (with a mapping quality of MQ60), 2162 (99.82%) could be mapped back to the corresponding assembled chromosome, and only 4 markers (0.18%) mapped to different groups in the linkage map and chromosome assembly. Seventy-six scaffolds (1–8 scaffolds/chromosome) were oriented using this linkage map. We annotated 28406 protein-coding genes that coded for proteins longer than 99 amino acids using evidence from RNA sequencing and protein homology. In addition, we annotated 4444 smaller potentially coding regions.The completeness of the chromosome assembly is also underlined by the presence of (CCCTAA)n telomeric repeats close to the terminal regions of the assembled chromosomes. The large fraction of bases assembled into chromosomal sequences, small number of gaps in the chromosomes (n = 304) and signatures of telomeric repeats at chromosome ends as well as the very large fraction of complete Benchmarking Universal Single-Copy Orthologs (BUSCO)18 genes (Actinopterygii set, sinChu7_genome: C: 97.1% [S: 94.7%, D: 2.4%], F: 1.4%, M: 1.5%; SC7_annotation: C: 94.5% [S: 91.0%, D: 3.5%], F: 3.7%, M: 1.8%; C = complete, S = single, D = duplicated, F = partial, M = missing) provide high confidence that this teleost genome assembly is nearly complete.Genome assemblies of other three species of SinipercidaeThe costs of assembling high-quality draft genomes from short reads currently depend on the construction and sequencing of several long-distance mate-pair libraries. We circumvented this by using “gel-free” mate-pair libraries, where no size selection of the template DNA was performed. As undefined insert sizes may result in less efficient scaffolding during genome assembly, we mapped these reads to the high-quality S. chuatsi reference genome and sorted mapped mate pairs of a particular insert size range into distinct in silico size-selected files. Our short-read assembly pipeline (Supplementary Fig. 2, Supplementary Tables 1 and 2) revealed 3 high-quality draft de novo genome assemblies for S. kneri, S. scherzeri, and C. whiteheadi with ~40× total sequencing coverage for each species (50% 300 bp paired-end fragments/50% gel-free mate pairs). A very large fraction (>97% of bases) of the de novo-assembled scaffolds (N50 length: 1.0–1.4 Mbp) could be anchored to chromosomal groups when comparing synteny/collinearity with the S. chuatsi reference genome. The high mate-pair sequencing coverage resulted in a large contig N50 length of 76–84 kb (in relation to those for other teleost short-read assemblies).Phylogenomic treeWe produced a multiple whole-genome alignment from 120 publicly available teleost fish genomes (NCBI and Ensembl), added a shark genome (Callorhinchus milii) to serve as a highly diverged outgroup, and constructed a phylogenomic tree based on the concatenated noncoding fraction of the alignment (4348668 nt positions) using RAxML19. The highly supported resulting tree grouped the Sinipercidae into an independent monophylum (Fig. 1; Supplementary Figs. 3 and 4). The common ancestor of all sinipercid fishes was estimated to have occurred 43.43 million years ago (Mya) (confidence interval (CI): 59.09–26.24 Mya), during the early Eocene. The ancestor of the genus Siniperca was estimated to have occurred 14.5 Mya (CI: 25.34–8.44 Mya), during the Neogene. Within the clade, S. chuatsi and S. kneri diverged from each other 9.79 Mya (CI: 18.97–5.66 Mya).Fig. 1Time-calibrated phylogenomic tree calculated from noncoding portions of whole-genome alignments.The SH-aLRT support was 100 for all branches. Divergence times (red or x axis) were estimated by MCMCTree62 (clock = 2 model) using a few calibration timepoints from www.timetree.org. The mandarin fish (Sinipercidae) clade is indicated with “⋆”.Whole-genome alignmentsAlignments between the whole-genome assemblies from the four sinipercid fishes and high-quality assemblies from the more distantly related D. labrax and L. calcarifer enabled us to visualize principles of chromosomal evolution (Fig. 2a). Here, increasing numbers of chromosomal rearrangements depending on evolutionary distance from S. chuatsi were observed (S. kneri = 79; S. scherzeri = 76; C. whiteheadi = 162; D. labrax = 251; L. calcarifer = 345). More interestingly, these rearrangements occurred at higher frequencies toward the ends of chromosomes. Chromosome ends also tend to be difficult to align between distantly related species due to high sequence divergence. A possible biological explanation for these findings, in addition to the technical explanation that subtelomeric regions are highly repetitive and prone to misassembly, is that sequence divergence and rearrangement may be long-term effects of the higher crossing-over frequencies at chromosome ends20.Fig. 2Whole-genome alignments.a Visualization of whole-genome alignments. Chromosomes and scaffolds of each assembly are shown in random colors as syntenic blocks on the reference S. chuatsi genome coordinate system. Most chromosomes show highly complete synteny, as depicted by uniform coloring. Intrachromosomal rearrangements between the blocks are connected by black lines. b Functional enrichment analysis of genes with signatures of positive selection in the Sinipercidae reveals the episodical adaptive evolution of important traits (for corresponding gene lists, see Supplementary Table 3).Comparative genomic analysesTo understand the genetic factors affecting the different evolutionary features among the four Sinipercidae species, we performed an analysis of all annotated protein-coding genes in the S. chuatsi reference genome. In this regard, we focused on copy number variation, species-specific genes and positively selected genes (PSGs) to screen for candidate genes for further investigation. In particular, the analysis of episodic diversifying selection by adaptive branch-site random effects likelihood (aBSREL)21 combined with functional enrichment analysis (Gene Ontology (GO) and mammalian phenotype (MP) databases) provided a global view (Fig. 2b) of the evolution of important traits (feeding habit, growth, pyloric caeca, salinity adaptation, and predatory feeding/aggression behavior) in the three Siniperca spp. and C. whiteheadi since their split from the two marine outgroup species (D. labrax and L. calcarifer).Feeding habitA number of 421 genes on branch 3 and 636 genes on the S. scherzeri branch were under positive selection (P < 0.05) (Fig. 2b). PSGs with assigned gene symbols (n = 544) were subjected to enrichment analysis. The GO term “learning or memory” was enriched for 20 PSGs (uncorr. false discovery rate (FDR) P = 7.3e−3, ranked 266th in the list), and the GO term “locomotion” was very highly significant for 102 PSGs (uncorr. FDR P = 2.0e−7, ranked 2nd in the list). Considering only PSGs evolving on the branch of S. scherzeri, we found that 3 of 334 PSGs were related to “response to food” (uncorr. FDR P = 3.3e−2, ranked 583rd in the list). On branch 3, we found that 2 of 84 PSGs (more stringent PSG list P < 0.005) were related to “eating behavior” (uncorr. FDR P = 3.1e−2, ranked 233rd in the list).In a previous study, we identified the key genes and pathways, such as learning and memory, involved in the unique food preference through transcriptome analysis of dead prey fish feeders and nonfeeders in hybrid F1 offspring of S. chuatsi (♀) × S. scherzeri (♂)11. Among the PSGs, 12 genes on branch 3 and 20 genes on the S. scherzeri branch were differentially expressed between dead prey fish feeders and nonfeeders (log2 fold change (log2FC) ≥ 1) (Supplementary Tables 4 and 5).GrowthTo identify the key genes that determine the marked difference of the growth performance between S. kneri and S. chuatsi, we performed enrichment analysis of 411 PSGs (P < 0.05) with assigned gene symbols from the S. kneri or S. chuatsi branches which revealed 42 genes related to “growth” (uncorr. FDR P = 2.3e−2, ranked 177th in the list). More significant results were obtained by querying the MP ontologies, which showed 8 genes related to “decreased circulating insulin-like growth factor I level” (uncorr. FDR P = 1.1e−3, ranked 7th in the list) and 5 genes related to “decreased growth hormone level” (uncorr. FDR P = 9.9e−3, ranked 84th in the list). Interestingly, considering only PSGs from the S. kneri branch, 3 of 206 genes showed enrichment of the MP term “proportional dwarf” (uncorr. FDR P = 7.8e−3, ranked 34th in the list).In a previous study, we identified genes involved in the growth of S. chuatsi by transcriptome sequencing22. We searched the transcriptome data with these PSGs and identified ten S. chuatsi-specific genes that were differentially expressed between groups of fishes with different growth performances (Supplementary Table 6). In addition, 414 genes on the S. chuatsi branch and 428 genes on the S. kneri branch were under positive selection (P < 0.05), of which 7 PSGs in S. chuatsi and 18 PSGs in S. kneri were also differentially expressed in the growth performance experiments (Supplementary Tables 7 and 8).Pyloric caecaTo identify the functional genes involved in the formation of pyloric caeca, we analyzed positive selection occurring between Siniperca sp. and C. whiteheadi (Coreoperca branch and branch 5). Enrichment analysis of 1687 PSGs revealed 123 genes that were highly significantly associated with the Edinburgh Mouse Atlas Project Anatomy (EMAPA) term “alimentary system mucosa” with high significance (uncorr. FDR P = 7.0e−7, ranked 1st in the list). MP term analysis revealed 164 PSGs related to “digestive/alimentary phenotype” at low significance (uncorr. FDR P = 0.198, ranked 1856th in the list), 129 of which were also related to the MP term “abnormal digestive system morphology”.One gene cluster consisting of minichromosome maintenance complex component 5 (mcm5), 2-amino-3-ketobutyrate coenzyme A ligase, mitochondrial (gcat), melanin-concentrating hormone receptor 1-like (mchr1), and nucleosome-remodeling factor subunit BPTF-like (bptf) was under positive selection in C. whiteheadi (Supplementary Table 9). Furthermore, we identified 8 genes involved in the development of the endoderm and the digestive tract that were under positive selection on branch 5 or the Coreoperca branch, such as hoxb9a, hoxb2a, hoxb1a, noggin-2-like (nog2), insulin gene enhancer protein ISL-1 (isl1), bmp10, bmp7b, and fibroblast growth factor 4 (fgf4). In addition, we identified three pepsin A genes in Siniperca sp. but only two pepsin A genes and a pseudogene of pepsin A in C. whiteheadi (Supplementary Table 10).Salinity adaptationAs the last common ancestor of mandarin fishes and European sea bass was a marine fish, we compared mandarin fishes (freshwater, FW) and European sea bass (seawater, SW) and found that a total of 1382 genes on branch 7 were subjected to positive selection (P < 0.05). Of these, 918 genes had assigned gene symbols, and GO term enrichment analysis revealed involvement of 127 genes in “ion transport” (uncorr. FDR P = 6.8e−5, ranked 16th in the list). In addition, 4 genes showed enrichment for “cellular hypotonic response” (uncorr. FDR P = 4.41e−04, ranked 52nd in the list). The total number of copies of the Na+/K+-ATPase gene (only 12 copies) in mandarin fishes was more similar to that of marine and euryhaline fishes, such as tongue sole (Cynoglossus semilaevis, 12 copies), Asian sea bass (L. calcarifer, 12 copies), and fugu (Takifugu rubripes, 12 copies), than to that of freshwater fishes, such as zebrafish (Danio rerio, 16 copies), Mexican cave fish (Astyanax mexicanus, 16 copies), and northern pike (Esox lucius, 15 copies) (Supplementary Table 11).Aqp1a, aqp3a, aqp3b, and aqp8b were positively selected in L. calcarifer, in D. labrax and on branch 7. Synteny analysis indicated that aqp8aa was absent in the mandarin fishes (freshwater), while aqp8b was lost in the cichlid fishes (FW/BW) (Supplementary Table 12 and Supplementary Fig. 5).Predatory feeding behavior and predatory aggressionGene set enrichment analysis of 212 PSGs on the S. chuatsi branch revealed 5 genes related to the MP term “abnormal aggression-related behavior” (uncorr. FDR P = 2.2e−2, ranked 164th in the list). One of these genes, hydin, seems to be at least partially duplicated in a large tandem duplication (~100 kb) specific to the S. chuatsi genome. Enrichment analysis of all PSGs identified in the Siniperca clade (e.g., all branches since the split from the last common ancestor of Siniperca and Coreoperca) (n = 1528) revealed 87 PSGs related to the MP term “abnormal emotion/affect behavior” with slightly lower significance (uncorr. FDR P = 0.07, ranked 845th in the list). In addition, 4 genes (phenylethanolamine-N-methyltransferase (pnmt), kin of IRRE-like protein 3 (kirrel3), granulin (grn), and neuronal PAS domain-containing protein-4 (npas4)) with copy number variation between sinipercids and nonpredatory fish species were identified (Table 1). These genes might contribute to the predatory feeding behavior and predatory aggression of mandarin fishes (Fig. 3a).Table 1Expansion and loss of predatory feeding genes.SpeciesOrderpnmtkirrel3grnnpas4Siniperca chuatsiCentrarchiformes3231Siniperca kneriCentrarchiformes2231Siniperca scherzeriCentrarchiformes2231Coreoperca whiteheadiCentrarchiformes2231Dicentrarchus labraxEupercaria incertae sedis2232Larimichthys croceaEupercaria incertae sedis2232Lates calcariferCarangaria incertae sedis1232Notothenia coriicepsPerciformes2132Stegastes partitusOvalentaria incertae sedis1132Oreochromis niloticusCichliformes1163Pundamilia nyerereiCichliformes1162Haplochromis burtoniCichliformes1161Maylandia zebraCichliformes1183Neolamprologus brichardiCichliformes1142Fish with predatory feeding and omnivorous feeding are non-underlined and underlined, respectively.Fig. 3Gill arches, food intake, and absolute mRNA expression of eda and edar.aS. chuatsi preying on a live fish. b Absolute copies of eda and edar in adult S. chuatsi and D. rerio (n = 3 for eda, n = 6 for edar). c The gill arches in adult zebrafish. WT adult zebrafish have 11–14 gill rakers; fewer gill rakers are observed in edar+/− fish. In edar−/− fish, 1–3 gill rakers remain on the outside of the first gill arch, whereas complete loss of gill rakers is observed on the inside of the first gill arch. d, e Intake of brine shrimp (d) and dead prey (e) by adult zebrafish (n = 6). The boxplot elements are defined as: center line, median; box limits, the third and first quartiles; whiskers, 1.5× interquartile range. * indicates a significant difference (P < 0.05).In a previous study, we designed a specific training paradigm and found that some individuals could accept dead prey fish successfully (feeders), while some could not (nonfeeders)15. We searched the PSGs and genes with copy number variation in transcriptome data of feeders and nonfeeders and found that multiple genes, including adenylate cyclase 3 (adcy3), Arginine vasotocin/Vasotocin-neurophysin VT 1 (avt), estrogen receptor alpha (esr1), Follicle-stimulating hormone beta (fshb), glutamate decarboxylase (gad), histamine N-methyltransferase (hnmt), 5-hydroxytryptamine (serotonin) receptor 1B (htr1b), kirrel3, npas4, Isotocin-neurophysin IT 1 (oxt), regulator of G-protein signaling 6 (rgs6), Tyrosine hydroxylase/Tyrosine 3-monooxygenase (th), and amine oxidase [flavin-containing] (maob), were differentially expressed between fishes that could and could not feed on dead prey fish or artificial diets (Supplementary Table 13). These 13 genes might be candidate genes controlling the predatory feeding behavior in mandarin fishes. The results of RT-qPCR were consistent with those of transcriptome analysis (Supplementary Fig. 6 and Supplementary Table 14).Gill rakers and predatory feeding behaviorMandarin fishes feed solely on live fry of other fish and have only 4–9 gill rakers, fewer than other fishes (Supplementary Table 15), reflecting that teleosts with different numbers of gill rakers show different prey spectra and trophic ecologies. To illuminate the mechanism underlying fewer gill rakers in mandarin fishes, we analyzed the eda and edar gene sequences from mandarin fish genomes and compared their mRNA expression between S. chuatsi and zebrafish. The copy number, synteny and genomic structures of eda and edar were highly conserved (Supplementary Figs. 7 and 8), whereas the absolute mRNA expression levels of the eda and edar genes in S. chuatsi were significantly lower than those in zebrafish (Fig. 3b). We hypothesized that lower eda and edar expression might contribute to the fewer gill rakers in S. chuatsi than in zebrafish. To test this hypothesis, we generated edar-knockout zebrafish using CRISPR/Cas9.Compared to the wild-type (WT) fish with 11–14 gill rakers, edar+/− fish had fewer gill rakers with a forking morphology, and edar−/− fish lacked gill rakers (Fig. 3c). We measured the food intake of adult WT and edar−/− zebrafish (Fig. 3d, e). Compared with WT zebrafish (Fig. 3d), edar−/− fish had decreased food intake when fed with brine shrimp and increased food intake when fed with dead prey fish (Fig. 3e). The dead prey fish that we used were 12-days post-hatching (dph) zebrafish larvae with a length of 0.85–1.00 cm, exceeding the optimum length of one-third of the predator length.We treated zebrafish larvae from 1–8 dph with EDAR activator (1 ng/ml activin A) or inhibitor (50 ng/ml BMP4). In control and inhibitor-treated fish, 5, 5, and 6 gill rakers were observed at 2, 3, and 8 dph, respectively. In fish treated with activin A, 5, 6, and 8 gill rakers were observed at 2, 3, and 8 dph, respectively (Fig. 4a). At 8 dph, the spacings of the gill rakers were 25.6 ± 1.6, 22.44 ± 0.66, and 30.7 ± 0.66 μm in control, activin A-treated and BMP4-treated zebrafish, respectively (Fig. 4d). Whole-mount in situ hybridization data showed that activin A treatment increased and BMP4 treatment decreased edar expression at 2, 3, and 8 dph (Fig. 4b; Supplementary Fig. 9).Fig. 4Gill rakers and food intake of zebrafish with activin A and BMP4 treatment.a Number of zebrafish gill rakers (arrowheads, 0.1% alcian blue staining) at 2, 3 and 8 dph. b Zebrafish edar expression assessed by whole-mount in situ hybridization. Control fish or fish treated with 1 ng/ml activin A or 50 ng/ml BMP4 at 2, 3, 8 and dph and the negative control (N-Ctrl) are shown. c Zebrafish larvae intake of brine shrimp. d The distance between gill rakers of zebrafish at 8 dph (n = 3). e Zebrafish feeding at 8 dph. The numbers of fish that ingested 5-day-old shrimp were shown (n = 20). The boxplot elements are defined as: center line, median; box limits, the third and first quartiles; whiskers, 1.5× interquartile range. * indicates a significant difference (P < 0.05).Zebrafish larvae treated with activin A were able to feed on 1-day-old brine shrimp at 2 dph, whereas control fish and larvae treated with BMP4 were not (Fig. 4c). At 3 dph, larvae treated with activin A could feed on 2-day-old brine shrimp, but control and BMP4-treated larvae could feed on only 1-day-old brine shrimp (Fig. 4c). At 8 dph, more larvae in the activin A group were able to feed on 5-day-old brine shrimp than in the BMP4 and control groups (Fig. 4e).DHS mapping, reporter constructs, and luciferase assaysLocus control regions (LCRs) are usually localized at DNase I hypersensitivity sites (DHS). Southern blot analysis revealed a DHS at the 5′ flanking region of edar, 13.7 kb upstream of the ATG translation initiation site (Fig. 5a, b). An Xvent-1 site was found in the DHS sequence. To investigate the DHS function, a luciferase reporter containing the DHS region, pGL6-p(−14,289/−13,455) (pGL6–1), and a shorter construct, pGL6-p(−13722/−13455) (pGL6–2), which still contained the Xvent-1 site, were constructed (Fig. 5c; Supplementary Table 16). The transcriptional activities of pGL6–1 and pGL6–2 were both decreased compared with the activity of the pGL6 empty vector, which might be related to regulation by the Xvent-1 site (P < 0.05) (Fig. 5e, f). Sequence comparisons revealed that the four species of Sinipercidae had Xvent-1 sites at the 5′ flanking region of edar gene (Fig. 5d). We also quantified the bmp4 copies in the adult S. chuatsi and zebrafish using RT-qPCR. Compared with zebrafish, S. chuatsi had significantly more copies of bmp4 in both the gills and liver (Fig. 5g).Fig. 5Identification and characterization of the DHS in the 5′ flanking region of edar in S. chuatsi.a Identification of the DHS in the 5′ flanking region of edar in S. chuatsi by Southern blotting. b Schematic illustration of the DHS and EcoR V sites. +1 is the initiation codon ATG. c 5′ flanking region of edar in S. chuatsi. Nucleotides are numbered relative to the translation initiation site (ATG). d Alignment of the edar 5′ flanking region (partial sequence). The Xvent-1 site is highlighted by a red rectangle. e Luciferase activity of pGL6–1 (n = 8). f Luciferase assay for pGL6–2 (n = 12). g Absolute copies of bmp4 in adult S. chuatsi (n = 5), D. rerio (n = 4), and O. niloticus (n = 5). The boxplot elements are defined as: center line, median; box limits, the third and first quartiles; whiskers, 1.5× interquartile range. * indicates a significant difference (P < 0.05).DiscussionSMRT sequencing enabled us to generate a high-quality, nearly complete genome assembly for S. chuatsi. Subsequently, the S. chuatsi genome assembly assisted in cost-efficient short-read assemblies for two closely related species, S. kneri and S. scherzeri, as well as the more distantly related species C. whiteheadi. Our approach of creating genome assemblies for whole families of organisms might serve as a roadmap for future and ongoing large-scale sequencing projects23. Assuming a continuous increase in the throughput and decrease in the cost of short- and long-read sequencing, a $1000 de novo-assembled teleost genome might be within reach.We constructed a phylogenomic tree based on the concatenated noncoding fraction of the alignment. The highly supported resulting tree grouped the Sinipercidae into an independent monophylum. This special evolutionary position of the Sinipercidae is of great significance for studying the phylogenetic and ecological evolution of perch-like fish. The sinipercids are freshwater fishes endemic to East Asia, mainly distributed in Chinese river drainages, with a few species also found in Korea, Japan, and northern Vietnam24. They could hence represent a specialized group for biogeographic studies of the freshwater fish fauna in China. The common ancestor of all sinipercid fishes was estimated to have occurred 43.43 Mya, during the early Eocene. Our results are consistent with the time tree reported by Song et al.25, which was based on protein-coding sequences of the Sinipercidae and calibrated by sinipercid fossil evidence. Here, the inferred time of the common ancestor of sinipercids was approximately 53.1 Mya (CI: 85.8–30.4 Mya). Our divergence time analysis provided a robust time estimate with a narrower CI for the Sinipercidae of ~43.43 Mya. At the larger time scale of the Tertiary and during the Eocene (54–34 Mya), warm and wet climatic conditions prevailed at northern latitudes, even within the Arctic, until 15 Mya, when the climate cooled progressively26. The climatic conditions of these geological periods were very favorable to sinipercid fishes. The results confirmed that the divergence among the Sinipercidae was rapid, especially for S. chuatsi and S. kneri.Compared with S. chuatsi and S. kneri, S. scherzeri can easily be weaned onto dead prey fish or artificial diets11. Asparagine synthetase (Asns) deficiency leads to brain structural abnormalities and memory deficits27. Asns was positively selected on the S. scherzeri branch, which was the easiest to wean onto artificial diets among the four species of mandarin fishes, and dead prey fish feeders had lower asns expression than nonfeeders, suggesting that the Asns gene might contribute to the specific feeding habit of mandarin fishes.Although S. kneri shows the closest phylogenetic relationship with S. chuatsi, the growth rate of S. chuatsi is three to five times as high as that of S. kneri12. In the present study, we reported 411 PSGs with assigned gene symbols on the S. kneri or S. chuatsi branches. We searched the PSGs, which were differentially expressed in transcriptome data22. Altogether, 35 genes might be candidate genes for growth in mandarin fishes, including genes involved in immune regulation, skeletal muscle development, cell proliferation and differentiation, and reproduction and sexual dimorphism. For instance, the galectin-3 gene in S. chuatsi was under positive selection and significantly upregulated in groups of fishes with higher growth performance, suggesting that protein glycosylation might contribute to the growth performance of S. chuatsi. Molecule interacting with CasL 2 (Mical2) is expressed in skeletal and cardiac muscles, and modulation of MICAL2 has an impact on skeletal muscle commitment28. Mical2 was under positive selection in S. kneri and expressed at lower levels in slower-growing individuals, suggesting that MICAL2 might be involved in growth regulation. Previous studies reported that predator size and prey body mass had an important deterministic effects on the predator’s feeding behavior, especially on the choice of prey29. The predatory feeding habit of S. chuatsi might have coevolved with its rapid growth.Pyloric caeca secrete digestive enzymes and contain a large number of folds and microcilia, which can assist in absorption in fish. The numbers of pyloric caeca in S. chuatsi, S. scherzeri, and S. kneri are 117–323, 65–124, and 62–100, respectively. In contrast, C. whiteheadi has only 3 pyloric caeca13. In the present study, we identified 1687 PSGs in the Coreoperca branch and branch 5 leading to Siniperca sp. Among these PSGs, we found one gene cluster consisting of mcm5, gcat, mchr1, and bptf in C. whiteheadi. These genes have important roles in the origin of the germinal layer during embryo development, which might be related to the development of the pyloric caeca. Bptf deficiency decreases bone morphogenetic protein-4 (Bmp4) expression in the extraembryonic ectoderm in mice30, BMP4 directly and indirectly acts on the epiblast to promote mesoderm and posterior identity31. Furthermore, we identified 8 genes involved in the development of the endoderm and the digestive tract that were under positive selection on branch 5 or the Coreoperca branch. Digestive enzyme activities are positively correlated with pyloric cecum number32. According to the different number of pepsin A genes between Siniperca sp. and C. whiteheadi, we inferred that the pseudogenization of one copy of the pepsin A gene might affect the function of pepsin, leading to the decrease in pyloric cecum number in C. whiteheadi.The ancestors of Sinipercidae are marine fishes, which evolved in freshwater after repeated marine invasions and retreats in the early tertiary period in East Asia24. Before or during the Miocene, the last common ancestor of mandarin fishes occurred in the East China Sea, North Korea and Japan. However, the genetic basis of salinity adaptation in mandarin fishes upon the transition from seawater to freshwater remains unclear. In the present study, we reported 127 PSGs involved in “ion transport” and 4 PSGs involved in “cellular hypotonic response”. These results reflect that one of the key events in osmoregulation involves fine tuning of the ion-transporting apparatus of gill epithelia, which requires rearrangement of gill chloride cells and changes in Na+/K+-ATPase; Na+, K+, 2Cl− cotransporters of gills; and other critical ion transport proteins33.The Na+/K+-ATPase α−1a isoform is a freshwater isoform involved in ion uptake, whereas the α−1b isoform is a marine isoform associated with ion excretion34. The total number of copies of the Na+/K+-ATPase gene in mandarin fishes was more similar to that of marine and euryhaline fishes than to that of freshwater fishes. The Na+/K+-ATPase α−1a isoform of mandarin fishes was not duplicated as in freshwater fishes, which is consistent with its origin in marine environments. Hyperosmotic saline environments weaken chemical perception and processing, which are closely related to feeding behavior and detecting food35. The unique feeding behavior of mandarin fishes, which underwent an evolutionary transition from seawater to freshwater, is attributed to reductions in chemical sensing and enhancement of visual and lateral line sensing8.Ion regulation is tightly coupled to water flow across membranes, where aquaporins (AQPs) selectively facilitate the transport and exchange of water molecules. The expansion of aqp in European sea bass is associated with ion and water transport36. Aqp1a, aqp3a, aqp3b, and aqp8b were positively selected in L. calcarifer, in D. labrax and on branch 7. Teleosts in seawater and brackish water, such as Asian sea bass, European sea bass and large yellow croaker, had three copies of aqp8, of which aqp8aa and aqp8ab were tandem duplicates and aqp8b originated from genome duplication. However, mandarin and cichlid fishes (Maylandia zebra, Neolamprologus brichardi, Pundamilia nyererei, Haplochromis burtoni, and O. niloticus), which thrive in freshwater and brackish water, had only two copies of aqp8. Therefore, marine sinipercids might have acclimated to freshwater by reducing water influx due to the absence of aqp8aa.Predatory feeding behavior is a near-universal survival trait that is important for the acquisition of food37. Mandarin fishes show high predatory aggression in the wild7. In the present study, we found 5 PSGs on the S. chuatsi branch related to the MP term “abnormal aggression-related behavior”, 87 PSGs in the Siniperca clade related to the MP term “abnormal emotion/affect behavior”, and 4 genes (pnmt, kirrel3, grn, and npas4) with copy number variation between sinipercids and nonpredatory fish species. These genes might contribute to the predatory feeding behavior and predatory aggression of mandarin fishes.Mice overexpressing Pnmt, the enzyme responsible for the conversion of noradrenaline to adrenaline, display increased home cage aggression38. Male mice lacking Kirrel3, a gene required for proper coalescence of vomeronasal organ axons into glomeruli in the accessory olfactory bulb, showed strongly reduced aggressive behavior in the resident-intruder paradigm39. Aggression was increased in Grn−/− and Grn+/− male mice40 and in male mice lacking Npas441. Our results indicated that the differential expression of these genes between feeders and nonfeeders, the expansion of pnmt and kirrel3, and the loss of grn and npas4 might explain the predatory feeding behavior of mandarin fishes.Gill rakers are bony or cartilaginous finger-like projections of gill arch, and have an important role in determining diet composition and prey size. Filter-feeding fishes have numerous elongated gill rakers42, whereas omnivorous and carnivorous fishes have few short gill rakers43. Ectodysplasin-A (eda) and ectodysplasin-A receptor (edar) have been reported to control the development of gill rakers44. Using the gene expression of edar as a marker of raker primordia, the previous study identified quantitative trait loci on chromosomes 4 and 20 with large effects on gill raker reduction in stickleback fish, and indicated that the parallel developmental genetic features underlie the convergent evolution of gill raker reduction45. In this study, edar−/− zebrafish lacked gill rakers and had decreased food intake when fed with brine shrimp and increased food intake when fed with dead prey fish. At the same time, after the treatment of zebrafish larvae with EDAR activator, zebrafish larvae have more and denser gill rakers, and this treatment also has a significant effect on feeding of zebrafish larvae with brine shrimp. These results indicated that EDAR activation could accelerate gill raker development, and denser gill rakers might provide sufficient filtration of zooplankton. Therefore, the edar gene could be a key regulator of food selection and feeding habit in fish, and the lower expression of the eda and edar genes in S. chuatsi could contribute to its fewer gill rakers, resulting in the inability to feed on zooplankton and thus promoting the evolution of predatory feeding behavior.LCRs are long-range cis-regulatory elements that regulate the expression of genes linked to physiological levels in a tissue-specific and copy number-dependent manner at ectopic chromatin sites46. An Xvent-1 site was identified in the DHS sequence in the 5′ flanking region of edar. BMP4 inhibits Xvent-1-mediated forkhead box A4 S homolog (FOXA4.S) transcriptional activation47. The four species of Sinipercidae, containing Xvent-1 sites in the edar gene, had 4–9 gill rakers. However, European sea bass and Nile tilapia did not contain the Xvent-1 site upstream of the edar gene and had >20 and >30 gill rakers, respectively48,49, suggesting the number of gill rakers is related to the presence of the Xvent-1 site in the edar gene. The result of significantly more copies of bmp4 in S. chuatsi indicated that BMP4-initiated signaling molecules, by binding to the Xvent-1 site in the edar gene, likely inhibit edar expression and gill raker development in S. chuatsi.Furthermore, the genes upstream of several PSGs contained Xvent-1 sites, suggesting that these genes might be regulated by BMP4. For instance, alkylglycerol monooxygenase (agmo), asns and kinesin-like protein KIF20A isoform X3 (kif20a), which have been linked to feeding habit; galectin-3 and mical2, which are involved in growth regulation; gcat and mchr1, which are involved in the development of pyloric caeca; and aggression-related genes, such as th, oxt, hnmt, kirrel3a, and pnmt, also contained Xvent-1 sites. Teleosts, as the largest group of vertebrates, exhibit marked diversity in morphology, behavior and adaptation to various environments, especially through adaptive radiation, the process of rapid evolution from a common ancestor into an array of species50. Mandarin fishes have rapidly evolved, especially in terms of feeding and growth traits, which are closely related to the functional genes surrounding eda and edar. The identified LCR in the edar 5′ flanking region might affect the coordinated regulation of associated functional gene clusters through BMP4. The coevolution of these functional gene clusters might have an important role in the rapid adaptation of mandarin fishes to the environment.In conclusion, we reported genome sequences of four members of the Sinipercidae. The results of positive selection analysis and genome comparisons revealed the adaptive evolution of genes related to predatory feeding, growth performance, pyloric cecum development, and euryhalinity. Mandarin fishes exclusively rely on live prey fish, possibly due to their low edar expression and very few gill rakers, leading to a predatory habit. These results contribute to a better understanding of the gene determination underlying predatory feeding behavior in mammals and the coevolution of feeding, growth, digestion, and euryhalinity traits in teleosts.MethodsEthics statementThe study was approved by the Institutional Animal Care and Use Ethics Committee of Huazhong Agricultural University (Wuhan, Hubei, China). The protocol was approved by the committee on the ethics of animal experiments of the university. All efforts were made to minimize suffering in animals.Fish materials and sequencingInbred lines of the mandarin fish species S. chuatsi, S. kneri, S. scherzeri and C. whiteheadi were obtained from the Chinese Perch Research Centre of Huazhong Agricultural University. Genomic DNA was extracted from the muscle of S. chuatsi (female), S. kneri (male), S. scherzeri (male), and C. whiteheadi (male) with a standard phenol-chloroform method. The diploid adult female S. chuatsi genome was sequenced on a PacBio RS II platform using P6-C4 chemistry (Pacific Biosciences, Menlo Park, CA, USA, 50× raw-read coverage). The transcriptome libraries of S. chuatsi brain, muscle, liver and gut tissues were prepared and sequenced using the Illumina HiSeq 4000 system (HiSeq 4000 SBS Kit, paired-end). The diploid adult male S. kneri, S. scherzeri and C. whiteheadi libraries for genome resequencing were prepared with the standard procedures for 300-bp paired-end libraries, and additional libraries were constructed using a Nextera® Mate-Pair Library Preparation Kit (Illumina, San Diego, CA, USA). Libraries were sequenced on an Illumina HiSeq 4000 system. Library construction and sequencing were performed by the Beijing Genomics Institute (BGI, Wuhan, Hubei, China).Genome assembly of S. chuatsi from SMRT long-sequence readsWe ran the Canu v1.0 de novo assembly pipeline17 (including correction, trimming and assembly steps) using the SMRT long-read data of S. chuatsi. A few parameters were adapted to the server used to perform the calculations (Dell PowerEdge R910; 80 Threads E7–4870@2.40 GHz; RAM: 1031.8 GB):maxMemory=500, maxThreads=80, genomeSize=800000000, and errorRate=0.06.A second de novo assembly of the SMRT data was performed using the FALCON assembler16. We did not use FALCON read correction but directly applied FALCON to assemble the corrected reads from the Canu assembler, saving considerable computing time. The FALCON assembly was optimized for an N50 contig length by varying the “length_cutoff_pr” parameter.The Canu assembly was the most contiguous assembly but also revealed more potential misassemblies, as depicted by interchromosomal fusions when aligning it to related species genome assemblies using the LAST aligner51. We found that it was possible to improve Canu assembly continuity by aligning the assembly to the FALCON assembly and inferring scaffolds by Ragout52. Subsequently, potential misassemblies in scaffolds were removed by splitting them at locations that could not be verified to be collinear with the alternative assembly (FALCON) or genome assemblies of related species (Asian sea bass53, European sea bass36, or three-spined stickleback54). The polished assembly of S. chuatsi was ordered into 24 chromosomal groups by alignment (LAST) with the Asian sea bass genome and resolving the breakpoint graph using Ragout. Finally, the consensus sequence was corrected using the Quiver algorithm55, resulting in the first chromosomal-scale genome assembly, named “sinChu4”.Further improvements to the genome assemblyComparison with a high-density genetic linkage map of S. chuatsi showed only a few discrepancies with the first chromosomal-scale genome assembly of S. chuatsi (sinChu4). A second round of genome improvement was carried out by mapping all SMRT raw reads back to the genome (using BWA-MEM56, with SMRT read-specific parameters). Contigs/scaffolds were split at locations in the assembly that were not covered by at least one pair of SMRT reads with a min. overlap of 100 bp and a mapping score of 60.Subsequently, using SMRT raw reads connecting contigs/scaffolds allowed us to markedly improve assembly contiguity. If chromosomal synteny was not violated, we allowed contig/scaffold links inferred by a minimum of one SMRT read. Long-read scaffolding was implemented by custom scripts involving LAST aligner for fast raw SMRT read mapping as well as SSPACE57 for scaffolding.The resulting large scaffolds were placed according to the first assembly of S. chuatsi and the genetic linkage map (unpublished). Some yet-unordered pieces of the assembly could be placed manually into the chromosomal assembly according to the genetic linkage map.Finally, several gap closure methods were applied. First, we used PBJelly58 to extend or close gaps by SMRT raw reads. Second, we joined many neighboring contigs in the scaffolds that exhibited large overlaps between contigN ends and contigN+1 starts. These overlaps were identified by BLASTn59 and joined using custom scripts. The genome assembly consensus sequences were corrected again after these improvements by using the Quiver algorithm, with the resulting assembly called “sinChu7”. The methods for short-read genome assembly of S. kneri, S. scherzeri and C. whiteheadi are described in the Supplementary Information.Phylogenomic tree constructionRAxML version 8.2.419 was used to construct a phylogenetic species tree (fast topology search using the GTRCAT evolutionary model and parameter -m GTRCAT -f E, followed by nearest-neighbor-interchange (NNI) optimization under the GTRGAMMAI model and SH-Test: -m GTRGAMMAI -F J), based on the noncoding fraction of whole-genome sequence alignments. Tree calculations for Percomorphaceae subsets were performed by more exhaustive calculations using RAxML-NG60 and IQTREE261, which both delivered congruent results. Furthermore, a chronogram of the fishes was calibrated using MCMCTree62.Analysis of positive selectionCoding sequences for each species were reconstructed from 1-to-1-ortholog whole-genome alignments using S. chuatsi coding sequence annotations as a reference. Coding sequences for each gene and all species were combined in a multiple FASTA file. For each gene, two multiple-codon alignments were produced using different alignment methods (MACSE63 and TranslatorX64). Each codon alignment was tested twice (allowing gaps/not allowing gaps in the alignments) for positive selection on all branches of the phylogenetic tree using the aBSREL method in the HyPhy package65. Genes were considered positively selected if an uncorrected FDR P < 0.05 was detected in three of the four tests. To be conservative, the largest P-value of the three was assigned to the PSG. Enrichment tests were performed at www.mousemine.org. All annotated genes with assigned gene symbols in S. chuatsi were used as the background gene list for enrichment tests. Paralogs in fishes, which are mainly due to teleost-specific whole-genome duplication, needed to be treated as single-copy genes in this regard. For instance, Cyp19a1a and Cyp19a1b were both treated as Cyp19a1.Gill rakers and food intake of edar−/− zebrafishZebrafish larvae (AB strains) were obtained from the China Zebrafish Resource Center (CZRC, Wuhan, China). CRISPR gRNAs against the zebrafish edar gene were designed with the online tool ZiFiT (http://zifit.partners.org/ZiFiT/CSquare9Nuclease.aspx) (Supplementary Table 17). gRNAs were generated with a pMD19-T vector template (TaKaRa, Dalian, China) and transcribed using a Transcript Aid T7 High-Yield Transcription Kit (Thermo Fisher Scientific, Waltham, MA, USA). One-cell-stage WT embryos were coinjected with 300 ng/µl Cas9 mRNA and 30 ng/µl gRNA. F1 heterozygotes were generated through outbreeding between an F0 male and a WT female, and edar−/− mutants (F2 homozygous) were obtained by inbreeding F1 heterozygote mutant strains (Supplementary Fig. 10). A nested PCR assay was conducted to identify CRISPR-induced mutations (Supplementary Table 17).Gill rakers of adult WT and edar−/− zebrafish were stained with 0.008% alizarin red S (Sinopharm Chemical Reagent, Shanghai, China) as previously described and then photographed by a stereomicroscope (Olympus, Tokyo, Japan) equipped with a digital camera. Zebrafish were fed equal amounts of brine shrimp (Artemia nauplii) or dead zebrafish larvae (total length: 0.85–1.00 cm) and then weighed before and after feeding (n = 6); alternatively, the number of remaining dead prey fish was considered (n = 6).Absolute mRNA expression of eda and edarRNA was extracted from gill rakers of S. chuatsi and zebrafish and reverse-transcribed into cDNA. Absolute RT-qPCR was performed for each sample with three technical replicates using AceQ® qPCR SYBR® Green Master Mix (Vazyme, Nanjing, China) on a MyiQ™ 2 Two-Color Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA) (primers listed in Supplementary Table 18). The logarithms of the copy numbers of eda and edar were calculated from the standard curve.Treatment of activator and inhibitor of edar in zebrafishZebrafish larvae treated with the edar activator activin A (R&D Systems, Minneapolis, MN, USA) at a final concentration of 1 ng/ml or the edar inhibitor BMP4 (R&D Systems) at 50 ng/ml at 8 dph were compared to fish without treatment as a control. For gill raker staining, the larvae were stained with 0.1% alcian blue (Sinopharm Chemical Reagent Co.) as previously described. Gill arches were photographed by a stereomicroscope, and the spacings of the gill rakers (n = 3) were calculated with CS Illustrator 6.0 (Adobe, San Jose, CA, USA). Whole-mount in situ RNA hybridization was performed as previously described66. Total RNA was extracted from zebrafish larvae and reverse-transcribed using M-MLV reverse transcriptase (Takara) according to the manufacturer’s instructions. Partial cDNA of edar was amplified, then cloned into the pGEM-T Easy vector (Promega) (Addgene ID 149381, Supplementary Table 17). DIG-labeled RNA probes were synthesized by in vitro translation after plasmid linearization using the T7 or SP6 RNA Polymerase (Promega). Food intake of the control zebrafish and zebrafish treated with activin A and BMP4 was recorded at 9:00 and 18:00 every day. In each group, larvae were randomly divided into three tanks (n = 20) and fed brine shrimp of different sizes.DHS mappingNucleus isolation was performed with blood samples of adult S. chuatsi according to a previously described procedure67. The nuclei were treated with 1.25, 2.5, 3.75, and 5 U/ml DNase I (TaKaRa). Then, genomic DNA (30 μg) was purified for southern blot analysis after EcoR V (TaKaRa, 30 U) digestion according to the supplier’s instructions. Probes were prepared by PCR amplification using the following primers: Probe-F 5′-AGATGGCGGAGTTGAGTTGTAT-3′ and Probe-R 5′- TTGTCTTCCACCTTCCAACCTT-3′.Xvent-1, a transcription factor binding site within the edar 5′ flanking region targeted by the DHS map (Fig. 5a), was identified using Web Promoter Scan Service (https://www-bimas.cit.nih.gov/molbio/proscan/). Two genomic fragments containing the Xvent-1 site (Supplementary Table 16) were synthesized by GenScript (Nanjing, Jiangsu, China) and cloned into the luciferase reporter vector pGL6 (Beyotime, Shanghai, China). HEK293T cells were plated at a density of 2.5 × 105 cells per well of a 24-well plate and transfected with combinations of plasmids pGL6–1 (Addgene ID 149382, 500 ng/well) and pGL6–2 (Addgene ID 149383, 500 ng/well), respectively, as previously described68. All experiments were carried out four times (independent transfections). In addition, the copy numbers of bmp4 in the gills and livers of adult S. chuatsi, D. rerio, and O. niloticus were calculated as mentioned above.Statistics and reproducibilityStatistical analysis was performed using GraphPad Prism 5 software. All data were obtained from at least three independent experiments. In the in vitro studies, unpaired t-test between two groups or one-way ANOVA among multiple groups were used to calculate P-values. The P-values for functional enrichment of PSGs were calculated using the Hypergeometric distribution at www.mousemine.org.Reporting summaryFurther information on research design is available in the Nature Research Reporting Summary linked to this article.Supplementary informationSupplementary InformationSupplementary Data 1Description of Additional Supplementary FilesReporting SummaryPeer Review File
Comparative genomics Development Gene expression Coevolution Phylogenetics