Tibetan loaches are the largest group of Tibetan fishes and are well adapted to the Tibetan Plateau. To investigate the origin of Tibetan loaches and their adaptations to the Tibetan Plateau, we determined 32 complete mitochondrial genomes that included 29 Tibetan loach species, two Barbatula species and Schistura longus. By combining these newly determined sequences with other previously published mitochondrial genomes, we assembled a large mitogenomic data set (11,433 bp) of 96 species in the superfamily Cobitoidea, to investigate the phylogenetic status of the genus Triplophysa. The resulting phylogeny strongly supported that the genus Triplophysa forms a monophyletic group within Nemacheilidae. Our molecular dating time suggests that the lineage leading to the Tibetan loaches and other loaches diverged approximately 23.5 Ma, which falls within the period of recent major uplifts of the Tibetan Plateau in the Early Miocene. Selection analyses revealed that the mitochondrial protein-coding genes of Tibetan loaches have larger ratios of nonsynonymous to synonymous substitutions than do those of non-Tibetan loaches, indicating that Tibetan loaches accumulated more nonsynonymous mutations than non-Tibetan loaches and exhibited rapid evolution. Two positively selected sites were identified in the ATP8 and ND1 genes.
Mitochondria are the energy metabolism centers of the cell and play critical roles in ATP synthesis and heat generation via cellular respiration. More than 95% of cellular energy is generated by mitochondria through oxidative phosphorylation (OXPHOS). Mitochondrial-encoded OXPHOS genes may therefore evolve under selection due to metabolic requirements and display evidence of adaptive evolution in mammals, birds and fishes1,2,3. Taxa subject to the cold and hypoxic conditions of high-altitude habitats have undergone alterations in mitochondrial function through changes in mitochondrial DNA4. Numerous studies have demonstrated the role of selection in mtDNA evolution and detected signals of positive selection in mitochondrial genes in endemic taxa of the Tibetan Plateau, including Tibetan humans5, the plateau pika6, the Tibetan horse7,8, the Tibetan antelope9, the Tibetan wild yak10, the Tibetan sheep11, Chinese snub-nosed monkeys12, galliform birds13 and schizothoracine fishes14. Mitochondria function in supplying cellular energy and are therefore extremely sensitive to energy-related selective pressure; furthermore, their small genome size, high substitution rate and easily accessible nature15 make them useful markers for phylogenetic reconstructions. Therefore, the mitogenome (mitochondrial genome) is widely used to not only explore phylogenetic relationships and estimate divergence times at different taxonomic levels16,17,18 but also detect signals of positive selection2,3,10.
The Superfamily Cobitoidea is comprised of seven monophyletic families Gyrinocheilidae, Catostomidae, Cobitidae, Botiidae, Vaillantellidae, Balitoridae and Nemacheilidae19. The Nemacheilidae is the largest group in the superfamily Cobitoidea, including numerous morphologically similar nemacheilid loaches20. Among the nemacheilid loaches, Triplophysa fishes have long been of great interest to researchers. The genus Triplophysa constitutes the largest of three major groups of Tibetan fishes and consists of 140 species reported in FishBase21, belonging to the family Nemacheilidae within the order Cypriniformes. Triplophysa species are widely distributed in the Tibetan Plateau and adjacent regions22. Studies of the morphological characteristics and geographical distribution of Triplophysa have suggested that the origin and evolution of this group is related to the uplift of the Tibetan Plateau22,23. The cold and hypoxic conditions of high-altitude habitats impose severe physiological challenges to organisms living in the Tibetan Plateau. As representative endemic species of the Tibetan Plateau, Triplophysa species are well adapted to the high-altitude environment. Nevertheless, except for some suggestions of mtDNA variation in Triplophysa associated with adaptation to high-altitude habitats6,24, an understanding of the genetic mechanisms that underlie the adaptations of this group to their high-altitude environment from a mitogenomic perspective is lacking. Moreover, the phylogenetic placement of Triplophysa and its divergence time from other nemacheilid loaches are not well understood.
In this study, we analyzed 32 complete, newly determined mitogenomes along with 64 published mitogenomes of the superfamily Cobitoidea, to 1) confirm the phylogenetic status of the genus Triplophysa within Nemacheilidae based on mitochondrial genomes and broad taxon sampling, 2) date the origin of the Triplophysa lineages, and 3) provide a comprehensive view of the adaptive evolution of the mitogenome in Triplophysa species during their independent acclimatization to high-altitude environments.
Characteristics of the mitochondrial genome
The mitogenome sizes of the sequenced Triplophysa fishes ranged from 16,562 bp to 16,681 bp, and all of the mitogenomes exhibited similar sequence characteristics. Differences in mitogenome size resulted from variation in the length of the control regions. The gene arrangement, organization and content of the mitochondrial genome of Triplophysa fishes are similar to those of other teleosts25,26, which also contain 13 protein-coding genes, two ribosomal RNA genes (rRNA), 22 transfer RNA genes (tRNA), and a putative control region (CR). In the present study, the mitochondrial PCGs, tRNAs, rRNAs and CR were encoded on the heavy strand except for ND6 and eight tRNA genes (tRNA-Gln, tRNA-Ala, tRNA-Asn, tRNA-Cys, tRNA-Tyr, tRNA-Ser, tRNA-Glu, and tRNA-Pro), which were encoded on the light strand. The concatenated data set consisted of 11,433 bp from 13 PCGs of 96 mitochondrial genomes. Of the identified sites, 6,081 (53.2%) sites were variable and 5,387 sites (47.1%) were parsimony informative. Additional details on the concatenated gene sequences and each of the 13 mitochondrial protein-coding genes (alignment length, variable sites, parsimony-informative sites, mean nucleotide composition, and transition/transversion ratios) are provided in Table 1. The examined mitochondrial genomes exhibited AT-bias (ranging from 52.4 to 58.5; average = 56.0).
Phylogenetic status of the genus Triplophysa
Both the saturation plots and the Iss index values derived using DAMBE revealed no clear saturation for any codon position in the concatenated alignment (Figure S1). The combined data set of the 13 PCGs (total = 11,433 bp), including all codon positions, was used to conduct the phylogenetic analysis.
The ML and BI phylogenetic analyses of the concatenated data sets yielded consistent topological relationships for loaches with high bootstrap support values and Bayesian posterior probabilities (Fig. 1). Herein, ML bootstrap support values >70 and BI posterior probabilities >0.95 were defined as strongly supportive. The nodal support values obtained from two building methods are shown together on the BI topology (Fig. 1). The ML and BI trees strongly supported the monophyly of the loach clade. Within Cobitoidea, Gyrinocheilidae and Catostomidae rooted the phylogenetic tree. The remaining members of Cobitoidea represented a monophyletic group with strong nodal support and were resolved as ((Botiidae, Vaillantellidae), ((Cobitidae, Balitoridae), Nemacheilidae)). Vaillantellidae formed the sister group to the Botiidae clade with robust statistical support (posterior probability [PP] = 1.00 and bootstrap proportion [BP] = 81). Vaillantellidae and Botiidae formed the basal sister group to the other loaches and Cobitidae and Balitoridae formed a sister clade to Nemacheilidae. The above groups were used as outgroups while the family Nemacheilidae was used as the ingroups. Therefore, the family Nemacheilidae, especially the Triplophysa group is deserved our concern. A reasonably well-resolved phylogeny was yielded: the diverse nemacheilid loaches formed a monophyletic group with strong nodal support ([PP] = 1.00 and [BP] = 100), which comprised of 6 genera: Acanthocobitis, Schistura, Lefua, Homatula, Barbatula and Triplophysa. Each genera sampled formed its own monophyletic group, and most of the within-genera species relationships yielded high support values. The largest group, Triplophysa, was strongly supported as monophyletic ([PP] = 1.00 and [BP] = 100) with the exception of Hedinichthys yarkandensis, which is listed as a species of the subgenus Hedinichthys.
Divergence time estimation for the Triplophysa lineage
We provided a timescale for loaches through MCMCTREE analysis. The estimated divergence times for loaches are shown in Fig. 2 with 95% credible intervals (CIs). The most recent common ancestor of loaches date to 33.8 Ma (95%CI: 30.7–38.2 Ma). The family Vaillantellidae diverged from the family Botiidae at 30 Ma (95%CI: 23.8–35.4 Ma), whereas the Balitoridae diverged from the Cobitidae at 29 Ma (95%CI: 26.3–30.8 Ma). The most recent common ancestor of Nemacheilidae date to 28 Ma (95%CI: 26.1–30.2 Ma). The adaptive radiation of Triplophysa fishes is a major event in the evolution of nemacheilid loaches, with Triplophysa being the largest group within the Nemacheilidae. This group diverged from the other loaches within the Nemacheilidae at 23.5 Ma (95%CI: 20.5–26.1 Ma), and the most recent common ancestor of Triplophysa group arose 21.3 Ma (95%CI: 18.2–24.1 Ma).
Selection analysis yielded a separate dN/dS ratio for each terminal branch of the phylogenetic tree (Table S1). The dN/dS ratio of Tibetan loaches was significantly larger than that of non-Tibetan loaches for the 13 concatenated mitochondrial protein-coding genes (Wilcoxon rank sum test, P = 0.03016). Moreover, each of the 13 mitochondrial protein-coding genes had a larger dN/dS ratio in the Tibetan loaches than in the non-Tibetan loaches (Fig. 3). In particular, the dN/dS ratios of COX1, ND4, ND4L, and ND6 in the Tibetan loaches were significantly larger than those in the non-Tibetan loaches (Wilcoxon rank sum test, P = 0.004286, 0.00044, 0.007778, and 0.02895, respectively) among all of the mitochondrial protein-coding genes. These results implied that Tibetan loaches experienced weaker purifying selection at mitochondrial protein-coding genes than did non-Tibetan loaches and that the former accumulated more nonsynonymous mutations.
The FEL analysis identified two positively selected sites in the ATP8 (corresponding to site 38, dN/dS = 3.228154003, P = 0.027923387) and ND1 (corresponding to site 80, dN/dS = 6.933321774, P = 0.049226799) genes (Fig. 3, Table S2).
The loaches are generally recognized as comprising five families, i.e., Botiidae, Vaillantellidae, Cobitidae, Balitoridae, and Nemacheilidae, according to morphological characters27,28 and molecular data19,29. As a diverse group, the phylogenetic relationships of loaches have been studied extensively in the order Cypriniformes18,19,30,31. Nevertheless, previous studies did not recover a comprehensively consistent phylogenetic tree. Slechtova et al.19 confirmed the family status of the Vaillantellidae, but some discrepancies remained regarding its placement: Vaillantellidae, Botiidae or both were found to occupy the basal position among the loaches18,19,25,31. The present analysis strongly supports the clustering of Vaillantellidae and Botiidae as a basal clade within the loach families. The remaining loaches (Cobitidae, Balitoridae, and Nemacheilidae) have been clustered into a single clade18,30, which is supported by our analysis. However, conflicting results have been obtained regarding the sister-group relationships among these three families. A sister relationship between Balitoridae and Nemacheilidae is supported by some previous studies18,19,30, whereas a sister relationship between Cobitidae and Nemacheilidae was proposed by Tang et al.20. However, all of these studies involved a limited number of taxa or genes. For example, only one species of Balitoridae, Homaloptera leonardi, was included in the study by Mayden et al. 2009, and a single RAG1 gene was used for the phylogenetic reconstruction of Cobitoidea by Slechtova et al.19. Therefore, compared with the taxon data of previous studies, our study incorporated the largest data set of loach mitochondrial genomes. In the present study, the sister relationship between Cobitidae and Balitoridae is resolved, and Nemacheilidae forms a monophyletic group. Our analysis clustered Hedinichthys with Schistura within Nemacheilidae instead of with Triplophysa, which indicates that Hedinichthys yarkandensis is not a genuine Tibetan loach. He et al.32, found that Hedinichthys clustered with the genus Lefua based on analysis of the CYTB gene. We suggest that the placement of Hedinichthys should be redefined. The genus Triplophysa should exclude the subgenus Hedinichthys, recovering the genus Triplophysa as a monophyletic group.
A previous study found a correlation between the geological and biotic evolution of the Tibetan Plateau in a paleobiogeographical analysis of freshwater fishes33. Therefore, it is important for researchers to consider the divergence time of Triplophysa within the context of the geological history of the Tibetan Plateau. Previously, He et al.32 concluded that Triplophysa diverged from the other loaches of the family Nemacheilidae 13.5–10.3 Ma ago based on strict molecular clock estimation. Wang et al.24, proposed that Triplophysa rosa diverged from other Triplophysa species approximately 48.3 Ma (34.7–59.5 Ma) ago based on analysis of combined CYTB and D-loop sequences. Our age estimation for Triplophysa is incongruent with the above molecular clock estimations. Our molecular dating results indicate that the most recent common ancestor of Triplophysa fishes diverged from other nemacheilid loaches approximately 23.5 Ma (95% CI: 20.5–26.1 Ma). With respect to the origin of schizothoracine fishes, Ruber et al.34 revealed the common ancestor of the schizothoracine fishes was in the Oligocene-Miocene boundary (around 23 Ma) or older based on the relaxed molecular clock analysis of cyprinids from cytochrome b. Therefore, the molecular dating time of the Tibetan loach lineage is consistent with that of the schizothoracine fishes. Tibetan loaches are mainly distributed in the high-altitude lakes of the Himalayas. Considering this distribution and our divergence time estimates, we hypothesize that the formation of this distribution pattern is likely associated with the concomitant ecological changes that occurred during the Tibetan Plateau uplift process. It is reported that southern Tibet and the Himalayas began to uplift due to rapid crustal thickening in the Early Miocene approximately 21–17 Ma ago35,36,37. Our estimate of the origin of Triplophysa is compatible with the timing of the geological events that occurred during the rapid uplift in Tibet. Therefore, we assume that the uplift of the Tibetan Plateau played an important role in the speciation of Triplophysa fishes in the Early Miocene. At the same time, the divergence date estimates of Triplophysa fishes might reflect the occurrence of geological events associated with the uplift of plateau. The rapid and persistent rise of the Tibetan Plateau began approximately 8 Ma38; its ultimate height did not lead to the extinction of Triplophysa but rather its adaptation to the extreme environment.
Previously, Sun et al.3 proposed that mitochondrial genes have undergone adaptive evolution in teleosts because of their different metabolic requirements. They divided the mitochondrial data set of 401 fishes into “migratory” and “nonmigratory” groups and tested functional constraints act on mitochondria. In comparision, the size of data sets (96 complete mitochondrial genomes) in this study is smaller than that of the previous study. Nevertheless, our results also detected the significant difference between the dN/dS ratios of Tibetan loaches and the non-Tibetan loaches. Compared with the non-Tibetan loaches (ω = 0.04834), the Tibetan loaches (ω = 0.10665) had a significantly larger mean ω (dN/dS) ratio for the 13 concatenated mitochondrial protein-coding genes, indicating that the high-altitude groups have accumulated more nonsynonymous mutations. These nonsynonymous mutations have resulted in slightly beneficial amino acid changes that allowed adaption to the high-altitude environments. Individually, the 13 mitochondrial protein-coding genes were also shown to have larger dN/dS ratios in the Tibetan loaches than in the non-Tibetan loaches, which provide consistent evidence for accelerated evolution at the mitogenome level in Tibetan loaches compared with non-Tibetan loaches. A previous study of galliform birds also found a larger mean ω (dN/dS) ratio for 13 concatenated mitochondrial protein-coding genes in the branches of high-altitude birds13. Previously, we found evidence of genome-wide, rapid evolution of Tibetan loaches relative to fishes living at low altitudes from our analysis of Tibetan loach transcriptome data39. Tibetan loaches adapted well to the severe conditions of the Tibetan Plateau by means of accelerated evolutionary rates. Martin and Palumbi40 proposed that the larger dN/dS in mitochondrial genes could be related to some physiological variables, such as metabolic rate. Considering the distribution of Triplophysa and our divergence time estimate, these results suggest that the evolutionary rate of Triplophysa fishes might be influenced by the geological events of the Tibetan Plateau uplift in the Early Miocene.
Among the 13 mitochondrial protein-coding genes involved in oxidative phosphorylation (OXPHOS), ND1 and ATP8 have undergone positive selection. ND1 is one of seven subunits in NADH dehydrogenase; it is the first and largest enzyme complex and acts as a proton pump41,42. ATP8 is one of two subunits in ATP synthase; it is the last enzyme complex and uses a concentration gradient of protons to produce ATP43,44. Numerous studies have indicated that the adaptive evolution of the NADH dehydrogenase complex and ATP synthase has been vital in the evolution of energy generation by oxidative phosphorylation8,13,14,41,45. We suggest that both the ND1 and ATP8 genes are responsible for high-altitude adaptation in Triplophysa fishes. Similarly, with respect to the high altitude adaptation in schizothoracine fishes, Li et al.14 found the positively selected sites in ND1 gene. On the contrary, they also detected the positively selected sites in ATP6, CYTB, ND2, ND4 and ND5 genes. These results suggested that Tibetan loaches and schizothoracine fishes probably employ different genic toolkit to adapt to the extreme environment of the Tibetan Plateau.
Materials and Methods
All the methods were carried out in accordance with approved guidelines. All experimental protocols involving animals in this study were approved by the Ethics Committee of the Institute of Hydrobiology, Chinese Academy of Sciences.
Specimen collection and DNA extraction
Specimen information for 29 Triplophysa species, two Barbatula species, and Schistura longus is provided in Table 2. The species identification was following the previous book22. All of the samples were stored in 95% ethanol until DNA extraction. Total genomic DNA was extracted from muscle or fin tissue using a standard phenol/chloroform extraction method46.
Mitochondrial genome sequencing, assembly and annotation
The 17 PCR amplification primer sets used for the mitogenomes are described in Table S3. The primers were designed from the conserved regions identified based on the alignment of 15 complete mitogenomes available for Nemacheilidae (www.ncbi.nlm.nih.gov). PCR was carried out in 30 μl reaction volumes containing 19.7 μl sterilized distilled water, 4 μl of 10 × PCR buffer II (Takara, China), 2.0 μl dNTP (2.5 mM), 1.5 μl of each primer (10 μM), 0.3 μl of Taq (5U/μl Takara, China), and 1.0 μl of template DNA (appropriate 30 ng). The cycling protocol was as follows: initial denaturation at 95 °C for 4 min followed by 30 cycles of 94 °C for 30 s, 50–55 °C for 40 s, and 72 °C for 2 min, with a final extension at 72 °C for 10 min. PCR products were electrophoresed on a 1.0% agarose gel, purified with a DNA Agarose Gel Extraction Kit (Omega, USA) and sequenced using an ABI3730xl sequencer (Applied Biosystems, Foster City, CA, USA).
The sequences were edited and assembled using the SeqMan program from the Lasergene package (DNASTAR Inc., Madison, WI, USA). The protein-coding genes, rRNA genes, tRNA genes and non-coding regions of mitogenomes were annotated using MitoAnnotator47. Newly determined mitogenome sequences were deposited in GenBank (Table S4).
Including the 32 complete mitogenomes that were newly determined in this study, a total of 96 mitochondrial genomes were used in the phylogenetic analysis, including the outgroup Catostomidae and Gyrinocheilidae. The taxonomic information, accession numbers and mitogenome sizes are provided in Table S4. The nucleotide sequences of the 13 protein-coding genes (PCGs) were first extracted using purpose-built perl scripts48 based on annotations and then separately aligned according to their corresponding amino acid translations using the software TranslatorX49. The gaps were not removed as they are known to contain valuable information for phylogenetic analyses50. The concatenated nucleotide sequence alignment from 13 PCGs (total = 11,433 bp) without stop codons was generated with our in-house scripts to conduct the phylogenetic analysis. Tests of the base substitution saturation were performed prior to the phylogenetic reconstruction. The extent of substitution saturation was estimated separately for entire codons and for the first, second, and third codon positions of the concatenated alignment using DAMBE51. The pairwise nucleotide differences (transitions and transversions) were plotted against the GTR genetic distance.
The best-fit global model GTR+I+G was selected for the alignment of the 13 concatenated PCGs based on the Bayesian information criterion (BIC) using jModelTest2.1.352. To improve the reliability of the phylogenetic analysis, the best-fit partitioning scheme across each gene and codon position was determined for each data set under the Bayesian information criterion using PartitionFinder software53.
Both partitioned maximum likelihood (ML) and Bayesian Inference (BI) approaches with the selected partition scheme (Table S5) were employed to reconstruct the phylogenetic relationships among the loach families. We implemented the Bayesian phylogenies in MrBayes v3.2.354,55 with the “unlink” and “prest ratepr = variable” model parameters. Two independent runs were performed with four independent Markov Chain Monte Carlo (MCMC) chains (three hot and one cold) for 50,000,000 generations initiated from a random tree, sampling one tree every 1000 generations. Convergence of the BI analyses was first assessed by the average standard deviation of split frequencies less than 0.01 and the potential scale reduction factors (PSRF) close to 1.0 for all parameters. We also used Tracer v1.6 software56 to investigate the convergence of the BI analyses. The first 12,500 trees were discarded as conservative burn-in, and the remaining samples were used to generate a majority-rule consensus tree. The support values of the BI tree were estimated by Bayesian posterior probability (BPP). The ML phylogenetic analysis was implemented in RAxML v8.1.1757 with the GTRGAMMAI model. 1,000 rapid bootstrapping replications were used to evaluate the bootstrap support values of the ML phylogenetic tree and search for the best-scoring ML tree.
Divergence time estimation
MCMCTREE in PAML v4.8 was implemented to estimate divergence times with an approximate likelihood calculation58. The ML phylogenetic tree topology from the 13 concatenated PCGs was used for divergence time estimation, and the ML branch lengths were estimated using the BASEML program in PAML under the GTR substitution model with the gamma prior set at 0.5. Two priors, the overall substitution rate (rgene gamma) and rate-drift parameter (sigma2 gamma), were set at G (1, 4.5) and G (1, 1.52), respectively, using the strict molecular-clock assumption with a root age of 152 Ma, which is suggested by previous studies59 (http://www.timetree.org/search/pairwise/). The independent rates model (clock = 2 in MCMCTREE)60 was used to specify the prior of rates among the internal nodes, which followed a log-normal distribution. The three parameters (birth rate λ, death rate μ and sampling fraction ρ) in the birth-death process with species sampling were specified as 1, 1, and 0, respectively. A loose maximum bound for the root was set at >0.658 <1.800 (i.e., between 65.8 Ma and 180 Ma).
The following four fossil calibrations were incorporated in this study: 1) The minimum age of Catostomidae is 60 Ma based on a catostomid fossil from the Paleocene61. 2) The oldest fossil of Plesiomyxocyprinus arratiae similar to Myxocyprinus asiaticus was constrained to from the middle Eocene or earlier, approximately 38–40 Ma62. 3) The estimated divergence time between Cobitinae and Nemacheilinae is approximately 30 Ma63. 4) The fossil calibrations of the genus Cobitis were recorded as 13.8–15.9 Ma64 (http://www.wahre-staerke.com/). The first 200,000 cycles in MCMCTREE were discarded as burn-in, and every 50 cycles were sampled to obtain a total of 20,000 samples. To ensure that convergence was reached, two replicate MCMC runs were initiated with two different random seeds. The distributions of the parameter values from the MCMC samples were assessed using Tracer v1.6 (ESS > 200)56.
Analysis of selective pressure
The codeml program in the PAML package58 with the free ratio model (model = 1) was used to estimate the ratio of nonsynonymous (dN) to synonymous (dS) substitutions rates (ω = dN/dS), which allowed for a separate dN/dS ratio for each branch on a tree. From the optimized ML tree topology derived from the 13 concatenated protein-coding genes, the dN/dS ratios of the 13 concatenated mitochondrial protein-coding genes and the 13 individual genes were computed separately for the terminal branches to evaluate the selective pressure operating on the mtDNA genomes. The dN/dS ratios for each terminal branch were divided into two groups: Tibetan loaches and non-Tibetan loaches. We tested the statistical significance of the differences in the dN/dS ratios of each gene between the Tibetan and non-Tibetan loaches using the Wilcoxon rank sum test implemented in R v2.10.065.
To identify the genes that have undergone positive selection for high-altitude adaptation, a branch model and a branch site model were employed to detect significant changes in selective pressure. However, the results of likelihood ratio tests (LRTs) for each mitochondrial gene were not significant. Therefore, the fixed-effects likelihood (FEL) approach implemented in HyPhy software66 was used to detect site-specific selection pressure; this approach is more powerful than the codeml program for detecting individual sites subject to episodic diversifying selection67. The FEL approach was run using the best-fitting nucleotide substitution model for each gene that was identified by jModelTest2.1.352 on the ML phylogenetic tree. The subtree consisting of the 35 Tibetan loaches was specified as the foreground branch and tested while the rest of the branches shared an arbitrary dN/dS ratio. Two models were nested in this method: H0, dN = dS (the neutral model) and HA, where dN and dS are estimated independently (the selection model). A nominal significance level of 0.1 for the likelihood ratio test was chosen based on the desired power of this analysis. When the LRT is significant, if dN > dS, the site is declared to be under positive selection, otherwise the site is under negative selection.
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This work was supported by the Pilot projects (Grant No. XDB13020100). We are thankful to Dr Dekui He to help revise the manuscript.
The authors declare no competing financial interests.
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Wang, Y., Shen, Y., Feng, C. et al. Mitogenomic perspectives on the origin of Tibetan loaches and their adaptation to high altitude. Sci Rep 6, 29690 (2016). https://doi.org/10.1038/srep29690
Analysis of Multiplicity of Hypoxia-Inducible Factors in the Evolution of Triplophysa Fish (Osteichthyes: Nemacheilinae) Reveals Hypoxic Environments Adaptation to Tibetan Plateau
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