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. 2021 Jul 18;42(4):502–513. doi: 10.24272/j.issn.2095-8137.2021.096

Genome and population evolution and environmental adaptation of Glyptosternon maculatum on the Qinghai-Tibet Plateau

Shi-Jun Xiao 1,2,5,6,#, Zen-Bo Mou 1,#, Rui-Bin Yang 3,#, Ding-Ding Fan 3, Jia-Qi Liu 2, Yu Zou 2, Shi-Lin Zhu 2, Ming Zou 2, Chao-Wei Zhou 1,4,*, Hai-Ping Liu 1,*
PMCID: PMC8317186  PMID: 34254744

Abstract

Persistent uplift means the Qinghai-Tibet Plateau (QTP) is an ideal natural laboratory to investigate genome evolution and adaptation within highland environments. However, how paleogeographic and paleoclimatic events influence the genome and population of endemic fish species remains unclear. Glyptosternon maculatum is an ancient endemic fish found on the QTP and the only critically endangered species in the Sisoridae family. Here, we found that major transposons in the G. maculatum genome showed episodic bursts, consistent with contemporaneous geological and climatic events during the QTP formation. Notably, histone genes showed significant expansion in the G. maculatum genome, which may be mediated by long interspersed nuclear elements (LINE) repetitive element duplications. Population analysis showed that ancestral G. maculatum populations experienced two significant depressions 2.6 million years ago (Mya) and 10 000 years ago, exhibiting excellent synchronization with Quaternary glaciation and the Younger Dryas, respectively. Thus, we propose that paleogeography and paleoclimate were dominating driving forces for population dynamics in endemic fish on the QTP. Tectonic movements and temperature fluctuation likely destroyed the habitat and disrupted the drainage connectivity among populations. These factors may have caused severe bottlenecks and limited migration among ancestral G. maculatum populations, resulting in the low genetic diversity and endangered status of the species today.

Keywords: Qinghai-Tibet Plateau (QTP), Glyptosternon maculatum, Genome evolution, Population, High-altitude adaptation

INTRODUCTION

Deciphering how genomes evolve in response to dramatic environmental change is an essential question in evolutionary biology to understand the molecular mechanisms of adaptations and speciation. The Qinghai-Tibet Plateau (QTP) was formed from the collision of the Indian and Eurasian Plates and is the youngest, largest, and highest plateau on Earth, with an average altitude of over 4 000 m a.s.l. (Peng et al., 2006). Continued uplift over the last 50 million years ago (Mya) (Peng et al., 2006) and the extreme climatic environment make the QTP an ideal and unique natural laboratory to investigate how paleogeography and paleoclimate have influenced endemic genome and population evolution. The high-altitude environment of the QTP is characterized by high ultraviolet (UV) radiation, dramatic temperature changes, and nutritional deficiencies (Jiang et al., 2012; Zhang et al., 2016). Consequently, understanding genome and population evolution is essential to gain insight into the molecular mechanisms underlying environmental adaptations and to protect the wild genetic resources of endemic endangered species in the QTP.

Research has elucidated the molecular mechanisms that underlie the high-altitude adaptations of Tibetan people (Petousi & Robbins, 2014; Yi et al., 2010). However, the initial peopling of the QTP by modern humans occurred about 25 000 years ago (Beall, 2007), which is significantly more recent than the long history of several million years for QTP formation. Endemic animals of the plateau represent excellent genome evolution models with long adaptive histories during plateau uplift. In the last decade, studies on genome sequencing in Tibetan animals (Wang et al., 2014), including yaks (Qiu et al., 2012), pigs (Ai et al., 2014), dogs (Gou et al., 2014), antelopes (Ge et al., 2013), and birds (Qu et al., 2013), have broadened our understanding of genomic adaptations to the local environment via the evolution and selection of putatively important functional genes (Jablonski, 2017; Wei et al., 2016). However, few studies have uncovered genome characterizations of endemic animals. Moreover, the relationship between the evolution of endemic species genomes and populations and paleogeographic and paleoclimatic events during the formation of the QTP is still largely unknown.

The dispersal and distribution of fish strictly depend on drainage connections, which are highly influenced by tectonic movements and climate change (Yang et al., 2009). Thus, the genomic evolution of freshwater fish offers an excellent opportunity to contextualize biological evolution to changes in QTP geology and climate (Kang et al., 2017; Xiao et al., 2020; Yang et al., 2009). Although transcriptomic and genomic studies on Schizothorax o'connori (Xiao et al., 2020) and Triplophysa bleekeri (Yuan et al., 2020) have revealed differential expression and natural selection of key genes in QTP fish adaptations (Ma et al., 2016), research on fish genome and population evolution in relation to environmental change and uplift of the QTP remains limited. The family Sisoridae in the order Siluriformes, which contains glyptosternoid and non-glyptosternoid species, is one of the main taxonomic groups of fish in the basin waters of the QTP (Peng et al., 2006). The evolution and speciation of sisorid catfish are thought to have been profoundly influenced by QTP uplift (Guo et al., 2005; He et al., 2001). Glyptosternon maculatum is one of the most ancient species within Glyptosterninae and is distributed at altitudes from 2 800–4 200 m in the Yarlung Zangbo River (Zhang et al., 2010). Consequently, due to its peculiar ecological distribution and evolutionary history (Zhang et al., 2011), G. maculatum is an ideal species to explore genome and population evolution during the formation of the QTP and to evaluate how genomic changes contributed to the environmental adaptations of sisorid catfish on the QTP.

To this end, we performed G. maculatum genomic analysis and revealed episodic transposon bursts, which may have facilitated functional gene expansions and thus contributed to the speciation and environmental adaptation of G. maculatum. Population genetic analyses based on whole-genome variants were performed to address how contemporaneous environmental changes may have influenced ancestral populations. We revealed that both QTP uplift and climatic events likely imposed immense natural stress on G. maculatum and limited migration among populations, leading to the low genetic diversity and endangered status of G. maculatum today.

MATERIALS AND METHODS

Chromosomal construction and transcriptome assembly for phylogenetic analysis

We used Hi-C techniques for chromosomal assembly of G. maculatum based on contig sequences assembled from a previous study (Edgar, 2004). Muscle samples from the same G. maculatum fish used for genome sequencing were used for Hi-C library construction following prior research (Gong et al., 2018). The Hi-C libraries were controlled for quality and sequenced on the Illumina Hiseq X Ten platform (Illumina, USA) (Supplementary Table S1). The contig sequences of G. maculatum were scaffolded into chromosomes using the bioinformatics method in Gong et al. (2018) (Supplementary Table S2 and Figure S1).

 Transcriptomes of muscle tissue from 16 QTP catfish (Supplementary Tables S3, S4), including 15 Sisoridae fish (Exostoma labiatum, Pareuchiloglanis feae, Pareuchiloglanis kamengensis, Glyptothorax quadriocellatus, Glyptothorax fukiensis honghensis, Glyptothorax interspinalum, Glyptothorax cavia, Glyptothorax dorsalis, Glyptothorax laosensis, Glyptothorax zainaensis, Glyptothorax trilineatus, Glyptothorax minimaculatus, Bagarius yarrelli, and Pseudecheneis sulcatus) and one Bagridae fish (Leiocassis longirostris), were sequenced using the Illumina HiSeq X Ten platform (Illumina, USA). In total, 66 Gb of raw RNA-seq data were generated. The RNA-seq reads of these fish were assembled by Trinity v2.8.6 (Kumar et al., 2016) (Supplementary Table S4).

Phylogenetic analysis among sisorid catfish

The unigenes of the 16 catfish were translated into protein sequences. Protein sequences longer than 50 amino acids were clustered with the whole proteome of G. maculatum using OrthoMCL v2.0.9 (Li, 2011). We obtained 167 single-copy genes with a total length of ~232 kb after gene family clustering. MUSCLE v3.8.31 (Li & Durbin, 2009) was used to generate multiple sequence alignments for protein sequences in each single-copy family with default parameters. The alignments of each family were concatenated to a super alignment matrix, which was used for phylogenetic tree reconstruction with RAxML v8 (Li et al., 2003). Divergence time between fish species was estimated using MCMCTree in Phylogenetic Analysis by Maximum Likelihood (PAML) v4 (Lieberman-Aiden et al., 2009), with the options “correlated molecular clock” and “JC69” model. Markov Chain Monte Carlo analysis was run for 20 000 generations using a burn-in of 1 000 iterations. Four calibration points were applied: Glyptosternon and Exostoma divergence time (5.5–8.8 Mya), Glyptosternon and Glyptothorax divergence time (7.7–12.2 Mya), Glyptosternon and Pseudecheneis divergence time (7.7–12.2 Mya), and Sisoridae and Bagridae divergence time (41–143 Mya). These calibration points were traced from TimeTree (http://www.timetree.org/) (Supplementary Figure S2).

Expanded gene families and positively selected gene detection

The phylogenetic tree and divergence times of G. maculatum and other species were analyzed using CAFE v5 (De Bie et al., 2006) to infer changes in gene family size using a probabilistic model. Gene Ontology (GO) enrichment analysis was performed on the G. maculatum expanded genes using the topGO v2.36.0 package (Alexa et al., 2006). MUSCLE v3.8.31 was used for multi-protein sequence alignment of the G. maculatum genes and their orthologs. Conserved CDS alignments of each single-copy gene family were extracted by Gblocks v0.91b (Talavera & Castresana, 2007) and used for further identification of positively selected genes. The ratios of nonsynonymous to synonymous substitutions (KA/KS, or ω) were estimated for each single-copy orthologous gene using the codeml program with the branch-site model implemented in PAML v4 (Guindon et al., 2010). A likelihood ratio test was conducted, and false discovery rate (FDR) correction was performed for multiple comparisons. Genes with corrected P<0.01 were defined as naturally selected genes.

Phylogeny and burst time estimation of LINE RTE-BovB and L2 type

Repetitive sequences in the G. maculatum genome were identified by a combination of homology searching and ab initio prediction. For homology-based prediction, we used RepeatMasker v4.1.2 (Bergman & Quesneville, 2007) and ProteinMask to search against RepBase. For ab initio prediction, we used Tandem Repeats Finder (TRF) v4.04 (Benson, 1999), LTR_FINDER v1.0 (Xu & Wang, 2007), PILER v1.3.11 (Edgar & Myers, 2005), and RepeatScout v1.0.5 (Price et al., 2005) with default parameters. We found that at least 32% of the G. maculatum assembly was composed of repetitive elements (Supplementary Table S5). The identified repeats were annotated using RepBase v23.04 (Jurka et al., 2005) with RepeatMasker v4.1.2 (Bergman & Quesneville, 2007) against this database. Other species, including Astyanax mexicanus, Cyprinus carpio, Danio rerio, Ictalurus punctatus, Oncorhynchus mykiss, Oryzias latipes, Pelteobagrus fulvidraco, and Poecilia formosa, were also detected using the same pipeline (Supplementary Tables S5, S6 and Figures S3, S4). Interestingly, we found that long interspersed nuclear elements (LINE) content was much more abundant in the G. maculatum genome.

The times of transposon bursts were estimated using previously published methods (Albertin et al., 2015). We dated transposable elements longer than 500 bp with RepeatMasker and adjusted the distances for multiple substitutions using the Jukes-Cantor formula:

graphic file with name M1.gif 1

where d is the distance estimated by RepeatMasker v4.1.2. Using an estimate of 0.0036 JK/myr for synonymous substitutions per million years (Albertin et al., 2015; Xu et al., 2014), the divergence time of the repeats was then estimated.

Population genetic analysis for G. maculatum using whole-genome data

Ten living individuals were collected from 2900, 4100-1, and 4100-2 using gill nets. All individuals were narcotized with MS-222 (Solarbio, China) for a few minutes before sampling muscles. For each individual, the muscle samples were immediately frozen in liquid nitrogen after dissection and stored at −80 °C until DNA extraction. Muscle samples from the outgroup, E. labiatum, were also collected.

For each sample, genomic DNA was extracted and used for library construction. Sequencing libraries were generated using a Truseq Nano DNA HT Sample Preparation Kit (Illumina, USA) following the manufacturer’s recommendations. Fragments with a length of 350 bp were selected, end polished, A-tailed, and ligated with the full-length adapter for Illumina sequencing. After polymerase chain reaction (PCR) amplification, all products were purified (AMPure XP system) and analyzed for size distribution using an Agilent2100 Bioanalyzer (Agilent Technologies, USA) and quantified using real-time PCR. Sequencing was implemented by the Illumina Hiseq 2000 platform (Illumina, USA) and millions of 150 bp paired-end short reads were generated.

Raw data were appraised using FastQC v.0.10.1 and filtered using fastp v0.20.0 (Chen et al., 2018). The remaining high-quality paired-end reads were mapped to the genome using BWA6 v0.7.8 (Li & Durbin, 2010) with the command “mem -t 4 -k 32 –M”. To reduce mismatches generated by PCR amplification before sequencing, duplicate reads were removed by SAMtools v1.9 (Li, 2011). Single nucleotide polymorphism (SNP) calling was performed following the Genome Analysis Toolkit (GATK) v4.1.9.0 best practices (McKenna et al., 2010). Annotations were performed using the ANNOVAR package (v2013-05-20) (Wang et al., 2010).

Based on the identified SNPs, a neighbor-joining tree representing the relationships of each individual was constructed using TreeBeST v1.9.2 (http://treesoft.sourceforge.net/treebest.shtml) with 100 bootstrap resamplings. Based on the same data, the population genetic structure was estimated using the Bayesian computer algorithm with the R package LEA v3.13 (Frichot & François, 2015). Principal component analysis (PCA) was also implemented using R v4.1.0.

Demographic history of G. maculatum

The population history of three populations of G. maculatum was constructed using the multiple sequentially Markovian coalescent (MSMC) approach v1.1.0 (Schiffels & Durbin, 2014) with a generation time of 6 and mutation rate of 3.51×10−9 per year per nucleotide (Yang et al., 2016). MSMC uses a hidden Markov model to analyze patterns of heterozygosity along genome sequences. We also applied the Generalized Phylogenetic Coalescent Sampler (G-PhoCS) v1.2.3 (Gronau et al., 2011). The prior distributions over model parameters were defined by Gamma distributions (Gronau et al., 2011). Markov chain was run for 100 000 iterations and population parameter values were sampled every 10 iterations.

RESULTS

Genome and transcriptome assembly for phylogenetic analysis of sisorid catfish

Based on the contigs assembled from the PacBio long reads (Liu et al., 2018), Hi-C sequencing was applied with the same G. maculatum sample collected in the Tibet Plateau to obtain a high-quality chromosomal genome. A 704.8 Mb genome was obtained with a contig and scaffold N50 of 878.4 kb and 27.8 Mb, respectively. More than 91.7% of the sequences were anchored on chromosomes at the base level, resulting into 2 083 genomic sequences longer than 2 kb (Supplementary Table S2 and Figure S1). The GC content of the G. maculatum genome was 39.6%. The transcriptomes of 16 sisorid catfish and Leiocassis longirostris were sequenced and assembled for the following analyses (Supplementary Table S3).

The phylogenetic relationships of G. maculatum to the other 16 sisorid catfish species were constructed using the transcriptome data (Figure 1; Supplementary Table S3), with L. longirostris used as the outgroup species (Figure 2A). Pseudecheneis was the earlier diverging genus among Sisoridae, and glyptosternoid and non-glyptosternoid fish clearly formed two sister groups. Glyptosternon and Exostoma were primitive taxa among the glyptosternoid fish, while Bagarius was primitive in the non-glyptosternoid group. The Pseudecheneis genus diverged from the common ancestor of Sisoridae ~9.7 Mya and glyptosternoid and non-glyptosternoid fish separated ~8.1 Mya.

Figure 1.

Figure 1

Sampling sites (red spot) for fish species on the Qinghai-Tibet Plateau

Altitude is represented by color bar. Species abbreviations are: Glyptosternon maculatum (GM), Exostoma labiatum (EL), Pareuchiloglanis feae (PF), Pareuchiloglanis kamengensis (PK), Glyptothorax quadriocellatus (GQ), Glyptothorax fukiensis honghensis (GFH), Glyptothorax interspinalum (GI), Glyptothorax cavia (GC), Glyptothorax dorsalis (GD), Glyptothorax zainaensis (GZ), Glyptothorax trilineatus (GT), Glyptothorax minimaculatus (GMN), Glyptothorax laosensis (GL), Bagarius yarrelli (BY), Pseudecheneis sulcatus (PS), and Leiocassis longirostris (LL).

Figure 2.

Figure 2

Phylogeny among sisorid catfish on Qinghai-Tibet Plateau and repeat content comparison of Glyptosternon maculatum to other teleosts

A: Phylogeny of QTP sisorid fish collected using transcriptome data and G. maculatum genome. Species highlighted by colors from glyptosternoid and non-glyptosternoid belong to Sisoridae, while other species are not from the family. Speciation divergence periods are labeled at branches with 95% confidence interval in parentheses. Divergence periods with red points were used for time recalibration. B: Repeat content in genomes of species closely related to G. maculatum and detailed repetitive element categories, including LINE (red), LTR (green), DNA transposon (blue), and other (blank).

Protein-coding genes were used to reconstruct a genome-based phylogeny for G. maculatum among teleosts (Figure 2B). The analysis supported a close evolutionary relationship between I. punetaus and P. fulvidraco, consistent with the traditional taxonomy of Siluriformes. From our phylogenetic analysis, G. maculatum diverged from their common ancestor with I. punetaus and P. fulvidraco 37–43 Mya (Supplementary Figure S2), a time that roughly corresponds to the collision of the ancient Indian and Eurasian plates in the Cenozoic era (Li et al., 2015).

Repetitive elements in G. maculatum genome

More than 30% of the G. maculatum genome was composed of repetitive sequences (Supplementary Table S5). The abundance of whole genomic repeats in the G. maculatum genome was comparable to that of other teleost fish, but the abundance of long interspersed elements (LINEs) comprised >23.1% and >66.3% of the genome and repetitive elements, respectively, significantly higher than that observed in other teleost fish ( Figure 2B; Supplementary Table S4). LINEs (primarily LINE/L1 types) comprise ~18.9% of the human genome (Li et al., 2001), but do not dominate repeat regions in other teleost genomes (Supplementary Table S6). The two most abundant LINE transposons in the G. maculatum genome were RTE-BovB (93.4 Mb long and 12.3% of the genome) and L2 (57.9 Mb and 7.6%) (Supplementary Table S6). The abundance of long terminal repeats (LTRs) was also slightly higher in the G. maculatum genome relative to the other teleosts, but DNA transposon abundance was lower (Supplementary Table S6).

Timing of LINE expansions in G. maculatum genome

The timing of LINE transposon expansions was estimated from sequence comparisons of LINE RTE-BovB and L2. The estimated time for expansion bursts indicated a multi-stage expansion pattern for both types (Figure3; Supplementary Figures S3, S4). The first stage of expansion occurred slowly during the late Eocene and early Oligocene ~30 Mya. The second stage exhibited an even more substantial expansion during the early Miocene ~20 Mya. The third stage showed a sharp expansion starting from 3 Mya in the Pleistocene. We observed remarkable associations of tectonic movements and global surface temperature fluctuations to the historical RTE-BovB and L2 bursts (Figure 3A, B).

Figure 3.

Figure 3

Expansion of LINE/RTE-BovB and LINE/L2 in Glyptosternon maculatum genome with tectonic movements and climate change during Qinghai-Tibet Plateau formation

A: Episodic bursts of RTE-BovB (red) and L2 (green) around ~30, ~20, and ~5-1 Mya after India-Eurasia collision, corresponding to Gangdese Movement and two uplift accelerations of QTP ~30 Mya (black dashed line). Recent burst is highlighted in red. Gray shows major tectonic movements. B: Global surface temperature (solid black line) and decrease in temperature per million years (dashed line) after plate collision. Data were collected from a previous paleoclimatology study (Zachos et al., 2001).

Expanded and selected functional genes for high-altitude environmental adaptation

Using whole-genome protein-coding gene clustering of close-related fish species, we identified expanded gene families in the G. maculatum genome. The functions of the expanded genes were investigated by enrichment analysis (Supplementary Tables S7, S8). We observed a large-scale expansion of gene families related to chromosome organization, including DNA packing, nucleosome organization, chromatin assembly, nucleosome assembly, DNA conformational changes, and folate metabolism (Figure 4A).

Figure 4.

Figure 4

Transposon mediated expansion of histone and folate-related functional genes in Glyptosternon maculatum genome

A: GO functional enrichment for expanded gene families in G. maculatum genome. B: Number of histones and their positional relationship with transposons in G. maculatum genome, compared with their counterparts in P. fulvidraco and I. punetaus. Color represents repetitive types. C: Distribution of insertion times for all LINE/L2 and those with histone genes. D: Expanded and naturally selected genes in folate metabolism. E: Expansion of mthfd1l gene in G. maculatum genome compared to P. fulvidraco and I. punetaus genomes. F: Synteny of repetitive elements around duplicated mthfd1l gene in G. maculatum genome. LINE RTE-BovB (red) and L2 (green) content is shown around genes.

Detailed analysis revealed that genes involved in nucleosome organization were mainly core histone proteins, including H2A, H2B, H3, and H4. In the G. maculatum genome, we identified 61, 85, 68, and 81 genes for the H2A, H2B, H3, and H4 histones, respectively, which were significantly higher than their copies in the P. fulvidraco and I. punetaus genomes (Figure 4B). Interestingly, most duplicated histone genes resided in the LINE/L2 elements. In contrast, few histones in the P. fulvidraco and I. punetaus genomes were found in LTR/Gypsy, simple repeat, DNA/TcMar-Tc1, and most histones did not overlap with any repetitive elements (Figure 4B). The mosaic structure of the histone with LINE/L2 demonstrated that histone proteins were expanded through the LINE/L2 bursts in the G. maculatum genome. Strikingly, based on the timing of the expansion of the LINE/L2 elements with histone genes, we found that those repetitive elements were duplicated ~2–1 Mya (Figure 4C) during the latest wave of transposon bursts, accelerated uplift of the plateau, and sudden drop in temperature (Figure 3B, C).

In the G. maculatum genome, many functional genes related to folate absorption and metabolism were expanded genome-wide and positively selected (Figure 4D). Two important genes, i.e., proton-coupled folate transporter (pcft) (FDR=0.00034) and 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) transformylase/IMP cyclohydrolase (purh) (FDR=0.0012), were positively selected in the likelihood ratio test for the nonsynonymous to synonymous substitutions (KA/KS) (Anisimova et al., 2001). Remarkably, mitochondrial monofunctional C1-tetrahydrofolate synthase (mthfd1l), dihydrofolate reductase (dhfr), adenosine kinase (adk), phosphodiesterase 3B (pde3b), and adenylate cyclase 6 (adcy6) genes, which are involved in folate metabolism and purine biosynthesis, were significantly expanded in the G. maculatum genome (Figure 4E). We identified three mitochondrial monofunctional C1-tetrahydrofolate synthase (mthfd1l) genes with integrated functional domains in the G. maculatum genome, but only one in P. fulvidraco and I. punetaus (Figure 4E). We showed that duplicated mthfd1l genes resided in the repeat rich regions, mainly the LINE RTE-BovB and L2 elements. Interestingly, those repetitive elements showed excellent synteny along the genome (Figure 4F), implying that mthfd1l genes may be duplicated from segmental duplications after the repeat expansion.

Population genetic diversity for G. maculatum

To investigate genetic diversity among G. maculatum populations, we collected 30 samples from three sites: two from altitudes of 4 100 m (GM4100, GM2 in Figure 1) and 2 900 m a.s.l. (GM2900, GM3 in Figure 1) in the Yarlung Zangbo River and one from 4 500 m a.s.l. (GM4500, GM1 in Figure 1) in the Dogxung Zangbo River, a main branch of the Yarlung Zangbo River. Angren Lake resides in the Dogxung Zangbo River between the GM4300 and GM4500 populations (Figure 5A).

Figure 5.

Figure 5

Population structure and history for Glyptosternon maculatum

A: Geographical representation of GM2900 (red), GM4100 (blue), and GM4500 (green). B: Principal component analysis (PCA) for all samples using whole-genome variants. C: Phylogenetic relationship among samples based on whole-genome variant data. D: Genetic structures of population samples. E: Average altitude of QTP (left Y axis and black sold line), relative Eurasian ice volume (left Y axis and blue dashed line), and effective population size from MSMC (right Y axis and solid red/blue/green line) in last 4 Mya. Effective population size (Ne) profiles were deduced from MSMC. Altitude of QTP and relative Eurasian ice volume were referenced from previous study (Yang et al., 2016). Gray highlights major tectonic movements. F: Demographic scenario for three populations deduced from G-PhoCS. Color scheme for each population is identical to above plot, and width indicates relative effective population size. Branch represents splits among populations. Numbers on arrows show migration rates among populations. Major climate events, including Quaternary glaciation ~2.6 Mya and Younger Dryas ~10 kyr BP, are labeled with red triangles along geological time.

Using whole-genome resequencing data, we obtained 248 127–257 465 SNPs for species among populations (Supplementary Table S9). Sample clustering and a phylogenetic tree were constructed based on the whole-genome variations (Figure 5B, C). The GM2900, GM4100, and GM4500 populations were grouped into three clades based on PCA (Figure 5B) and phylogenetic analysis (Figure 5C). The genetic structures of the three populations further confirmed the PCA and phylogenetic analysis results (Figure 5D). Using E. labiatum as the out-group, phylogenetic analysis based on whole-genome variants implied populations of G. maculatum may have originated from habitats with lower altitudes in the southern QTP, consistent with previous fossil studies suggesting that glyptosternoids may have originated in southeastern Tibet and eastern Himalayan areas in Yunnan, China (Ma et al., 2015).

Using whole-genome variants among populations, we investigated the population history for G. maculatum. We found that the dynamic profiles of effective population size were similar for different populations (Figure 5E). Three populations experienced a sudden 60-fold drop in effective population size from ~4 000 around 3 Mya to ~60 around 2 Mya (Figure 5E). In addition, we performed a demographic analysis of G. maculatum using G-PhoCS (Gronau et al., 2011) to estimate the population split time and migration among populations. We showed that the GM2900 population split from their common ancestor population ~10 thousand years before present (kyr BP) (Figure 5F). Remarkably, we observed that the effective population size of ancestral populations of G. maculatum experienced an almost 10 times reduction after the population splits, implying severe bottleneck effects during that period (Figure 5F). Furthermore, the low migration rates among populations indicated limited gene flow among populations (Figure 5F).

DISCUSSION

Our phylogenetic results of sisorid catfish species using whole-genome protein-coding genes are consistent with the results obtained from mitochondrial genes, which suggest that many specialized glyptosternoid genera originated 1.9 Mya in the Pleistocene (Peng et al., 2006; Yu & He, 2012), although we included more Glyptothorax species in this work. Our phylogenetic analysis also supported species radiation in the genus Glyptothorax ~3 Mya. We showed that P. feae and P. kamengensis diverged ~2.1 Mya (Figure 2A). We also demonstrated numerous speciation events for Glyptothorax over the last 3 Mya (Figure 2A). The times of species radiation for specialized glyptosternoid and non-glyptosternoid species are consistent with the latest sudden uplift of the QTP and Quaternary glacial period within the last 3 Mya (Jiang & Li, 2014). The coincidence of massive speciation with paleogeographic and paleoclimatic events suggests that species radiation is correlated with environmental fluctuations.

We also observed that the content of LINEs in G. maculatum genome, mainly RTE-BovB and L2, was significantly higher than that observed in other teleost fish (Figure 2B). Transposon elements and their associated functions have been found in teleost genomes recently. For example, Tcl-mariner transposons are thought to be involved in the rediploidization of the Atlantic salmon (Salmo salar) genome (Lien et al., 2016), and multiple bursts of LINE1, LINE2, CR1, and Deu are reported in the genomes of coelacanth (Latimeria chalumnae) (Chalopin et al., 2014) and lungfish (Neoceratodus forsteri) (Metcalfe et al., 2012). However, the distribution and roles of RTE-BovB and L2 in teleost evolution remain poorly investigated. RTE-BovB elements comprise 10.7% of the bovine genome (Adelson et al., 2009), but this type of repeat is not a dominant transposon in most teleost genomes (Supplementary Table S6). Therefore, the expansion of RTE-BovB and L2 type elements in the G. maculatum genome is intriguing from an evolutionary perspective. Previous studies have demonstrated the potential function of transposon elements as an evolutionary driving force under rigorous environmental stress (Belyayev, 2014; Craddock, 2016; Platt et al., 2014). LINEs are non-LTR retrotransposons that can use self-transcribed reverse transcriptase to copy and insert their sequences with associated genes into genomes (Kazazian & Goodier, 2002). Consequently, the high accumulation of LINEs in the G. maculatum genome may be related to genome evolution and adaptation to the environment during the formation of the QTP.

Interestingly, the time estimations for the expansions of RTE-BovB and L2 type elements showed three episodic transposon bursts, illuminating another coincidence between genome evolution and time of QTP multi-stage uplift (Figure 3). Specifically, the timing of the first RTE-BovB and L2 expansion (~30 Mya) paralleled the Gangdese Movement periods in the QTP (Pan et al., 2012) (Figure 3A) and the divergence of the ancestors of G. maculatum, I. punetaus, and P. fulvidraco (~43–37 Mya) (Supplementary Figure S2). The second RTE-BovB and L2 expansion (~20 Mya) coincided with the even more significant QTP uplift event during the Himalaya Movement at 25–15 Mya (Pan et al., 2012) (Figure 3A). The third expansion (<3 Mya) was concurrent with the sudden accelerated Tibetan uplift during the Qingzang Movement ~4–1 Mya (Li et al., 2015) (Figure 3A). In addition, remarkable decreases in global surface temperature were also associated with each of the RTE-BovB and L2 bursts (Figure 3B). These drops in temperatures could significantly limit the habitat and geographically isolate endemic fish species on the QTP. Nevertheless, the episodic transposon expansions and their coincidence with multi-stage plateau uplift and climate change demonstrate the correlation between genome evolution in endemic fish and major paleogeographic and paleoclimatic events on the QTP.

We also found that the transposon expansions occurred after the ancestral divergence of G. maculatum, I. punetaus, and P. fulvidraco (43–37 Mya; Supplementary Figure S2) and before the speciation of glyptosternoids and non-glyptosternoids (~10 Mya; Figure 3A). Thus, genomic features of earlier transposon expansions (>10 Mya) may be shared among all glyptosternoid and non-glyptosternoid species on the QTP. The most recent transposon burst occurred suddenly over a narrow window that began 4 Mya (Figure 3A). Over this last period, QTP uplift occurred at an unprecedentedly high rate, some 3–4 times that of previous events (Jiang & Li, 2014). The environmental changes ~3 Mya may have exerted severe adaptive selection pressure on endemic fish, as sharp transposon expansion (Figure 3A) and massive speciation (Figure 2A) were both observed during this period.

Genes related to nucleosome organization and folate metabolism were expanded in the G. maculatum genome (Figure 4A). The main histone genes, including H2A, H2B, H3, and H4, were significantly expanded in G. maculatum compared to P. fulvidraco and I. punetaus (Figure 4B). Histones are proteins within chromatin, and they play important structural roles in DNA packaging and structural stability (Mariño-Ramírez et al., 2005), as well as functional roles in cold stress (Verleih et al., 2015), antibiotic stimulus (Lü et al., 2014; Noga et al., 2011), UV radiation (Pawlak & Deckert, 2007), and DNA repair (Schild-Poulter et al., 2003). Previous studies have demonstrated the importance of histone protein and chromatin structures to genomic stability (Oberdoerffer & Sinclair, 2007). Our results indicated that LINE L2 bursts mediated the recent and rapid expansion of H2A, H2B, H3, and H4 histone genes in the G. maculatum genome, which may be in reaction to extreme environmental adaptations to cold temperatures, food shortages, and UV exposure. Previous studies have also revealed that folate contributes to high-altitude environmental adaptation due to its important role in UV protection and DNA repair (Jablonski & Chaplin, 2010) and folate-related genes exhibit significant signals of high-altitude adaptation selection in Tibetans (Yang et al., 2017). Mthfd1l, which is a mitochondrial monofunctional enzyme with 10-formyl-tetrahydrofolate (10-CHO-THF) synthase activity, plays a critical role in the folate cycle and cytoplasmic formate production (Tibbetts & Appling, 2010). In human diseases, mthfd1l also contributes to the production and accumulation of NADPH to levels that are sufficient to combat oxidative stress for cell cycle delay and apoptosis, especially in cancer cells (Lee et al., 2017). We observed the mosaic structures of histone genes and mthfd1l within repetitive regions, implying that LINE RTE-BovB and L2 bursts may facilitate whole-genome wide expansion of functional genes favorable for environmental adaptation on the QTP.

Glyptosternon maculatum is the only critically endangered Sisoridae species distributed at high altitudes of 2 800 m to 4 500 m a.s.l. on the QTP (Zhang et al., 2010). However, our understanding of the genetic structure and population evolution of this species on the QTP is still not clear. Using whole-genome sequencing data, we observed roughly one SNP per 2.7 kb in the genome of the wild G. maculatum populations, which was significantly lower than that found in the I. punetaus genome (one SNP per 93 bp) (Liu et al., 2016), thus demonstrating extremely low genetic diversity in G. maculatum populations.

Population analysis showed that the effective population size of ancient G. maculatum populations experienced a sharp 60-fold decline ~2–3 Mya (Figure 5E), which coincided with the timing of the Quaternary glaciation. Quaternary glaciation, beginning 2.58 Mya, was the last major ice age to occur (Owen et al., 2008). The alternation between glaciation and interglaciation during the Quaternary glaciation period had large impact on the connectivity of the primary drainage system of rivers and lakes on the QTP (Lehmkuhl & Owen, 2005), which likely lead to geographic barriers, and thus to population isolation and speciation of endemic fish on the QTP. We also found that the GM2900, GM4100, and GM4500 populations split ~10 kyr BP (Figure 5F). The sudden cold and dry global climate during the Younger Dryas (11–10 kyr BP) may have contributed to the population split (Gasse et al., 1991) as the drop in temperature could have disrupted or blocked water connectivity and limited gene flow among populations during that period. Diatom records and climate studies for the Angren Lake also show an extremely low abundance of diatoms ~10 kyr BP (Li et al., 1999), implying that food scarcity may also be an important reason for the population bottleneck.

CONCLUSIONS

We analyzed the genomic features and population diversity of G. maculatum, a representative endemic fish on the QTP and the most ancient species within the subfamily Glyptosterninae. We found that whole-genome wide transposons, especially dominant repetitive elements of LINE RTE-BovB and L2, showed episodic bursts, coinciding with the timing of accelerated uplift of the QTP and dramatic climatic fluctuations. We also showed that these transposons mediated functional gene expansions, which may have contributed to the environmental adaptation of G. maculatum. Using whole-genome variants, we determined that the ancestral G. maculatum group experienced two large-scale population depressions during the Quaternary glaciation ~2.6 Mya and the Younger Dryas ~10 kyr BP. The synchronous tectonic movements and temperature drops during glacial periods would likely have frozen habitats and disrupted drainage connectivity, leading to the historical bottleneck effects for ancient G. maculatum populations. For the first time, we revealed the synchronization of the genome and population evolution of G. maculatum with historical tectonic movements and climate events during QTP formation. Therefore, we propose that paleogeography and paleoclimate may be dominating driving forces for genome and population evolution of endemic fish on the QTP. The population whole-genome variant data provide a valuable genetic resource and opportunity to study genome and population evolution and to investigate the molecular mechanism underlying the extreme environmental adaptations of endemic fish species on the QTP.

DATA AVAILABILITY

The Hi-C sequencing data for G. maculatum were submitted to the National Center for Biotechnology Information (NCBI) BioProject No. PRJNA447978. Genomic and transcriptome sequencing data are available from the NCBI Short Read Archive as SRR7268130–SRR7268162.

SUPPLEMENTARY DATA

Supplementary data to this article can be found online.

COMPETING INTERESTS

The authors declare that they have no competing interests.

AUTHORS’ CONTRIBUTIONS

H.P.L. designed the research. H.P.L., S.J.X., Z.B.M., R.B.Y., C.W.Z., and S.J.X. designed and performed the experiments. S.J.X., H.P.L., Z.B.M., J.Q.L., Y.Z., D.D.F., S.L.Z., M.Z., and J.Q.L. performed repetitive element analysis. H.P.L., Z.B.M., and R.B.Y. contributed materials. S.J.X., Y.Z., and J.Q.L. created the figures. S.J.X. and H.P.L. wrote the manuscript, which was reviewed by all authors. All authors read and approved the final version of the manuscript.

Funding Statement

This project was supported by the Key Research and Development Projects in Tibet: Preservation of Characteristic Biological Germplasm Resources and Utilization of Gene Technology in Tibet (XZ202001ZY0016N), National Natural Science Foundation of China (32072980), and Special Finance of Tibet Autonomous Region (XZNKY-2019-C-053)

Contributor Information

Chao-Wei Zhou, Email: 442589528@qq.com.

Hai-Ping Liu, Email: luihappying@163.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data to this article can be found online.

Data Availability Statement

The Hi-C sequencing data for G. maculatum were submitted to the National Center for Biotechnology Information (NCBI) BioProject No. PRJNA447978. Genomic and transcriptome sequencing data are available from the NCBI Short Read Archive as SRR7268130–SRR7268162.


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