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Wang C, Luo S, Wang H, et al. Exploring the Complete Mitochondrial Genome of Schizothorax biddulphi via PacBio HiFi Sequencing: Phylogenetic Insights and Molecular Evolutionary Implications. Israeli Journal of Aquaculture - Bamidgeh. 2025;77(4):73-85. doi:10.46989/​001c.145162
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  • Figure 1. The sample image of S. biddulphi, taken by Shengao Chen
  • Figure 2. A circular map of the S. biddulphi mitochondrial genome is shown, with the outer circle denoting the heavy (H) strand and the inner circle denoting the light (L) strand. The inner gray circle illustrates the GC and AT content distribution, where darker regions indicate higher GC content and lighter regions indicate higher AT content.
  • Figure 3. Gene order of the Schizothorax mitochondrial genomes
  • Figure 4. Genetic diversity and evolutionary dynamics of mitogenomes in this study
  • Figure 5. Codon Usage in S. biddulphi Mitochondrial Protein-Coding Genes
  • Figure 6. Phylogenetic Reconstruction of 29 Fish Mitogenomes Using 13 PCGs.

Abstract

This study presents the first complete and fully assembled mitochondrial genome (mitogenome) of Schizothorax biddulphi derived from PacBio HiFi sequencing technology, providing novel insights into its phylogenetic relationships within the Cyprinidae family. The mitogenome of S. biddulphi exhibits a canonical structure typical of teleost fishes, comprising 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, 2 ribosomal RNA (rRNA) genes, and a control region (D-loop). Most PCGs initiate with the standard ATG codon, and termination is achieved through TAA, TAG, or truncated T stop codons, suggesting a potential influence of selection pressure on these regions. Comparative genomic analysis indicates high conservation of gene order and nucleotide composition with other Schizothorax species. Phylogenetic analyses using both maximum likelihood (ML) and Bayesian inference (BI) methods reveal that S. biddulphi and Schizothorax eurystomus form a well-supported clade, indicating a close phylogenetic relationship between these two species. These results contribute novel insights into the phylogenetic relationships within the genus Schizothorax and underscore the evolutionary divergence of S. biddulphi from other congeneric species. The newly characterized mitogenome enhances the available genetic resources and offers a valuable reference for future phylogenomic studies. This research provides a foundation for understanding the evolutionary dynamics driving diversification and adaptive radiation within Schizothorax. Furthermore, it underscores the significance of mitogenomics in elucidating the ecological adaptations and biological success of these freshwater fishes.

Introduction

Mitochondria, ubiquitous in nearly all eukaryotic organisms, serve pivotal roles in regulating energy metabolism, apoptosis, aging, and various diseases, rendering them indispensable cellular components.1 Mitochondrial DNA (mtDNA) emerges as a valuable molecular marker for systematic inquiries, owing to its straightforward structure, accelerated evolutionary pace, copious copies, and straightforward isolation techniques. These attributes render mtDNA a convenient and efficient tool for scrutinizing genetic relationships and delineating phylogenetic frameworks.2 Mitochondrial genomes, essential in molecular biology research, furnish critical insights into evolutionary connections, population histories, and genetic variations.3 Widely utilized in species delineation, classification, and phylogenetic analyses, they unveil species phylogenetic interrelations and aid in constructing evolutionary lineages within a genus.4 Furthermore, mitochondrial genomes facilitate investigations into gene flow, migration routes, and genetic diversity among species.5

Schizothorax, also known as snowtrout or Schizothoracins, belongs to the genus of ray-finned fish in the Cyprinidae family.6 These fish predominantly inhabit the freshwater systems of Asia, especially in high-altitude areas like the Himalayas, Tibetan Plateau, and nearby regions.7 Adapted to cold and high-altitude conditions, species of Schizothorax play a crucial role in maintaining the ecological balance of their habitats. Among the species, Schizothorax biddulphi is particularly noteworthy.8 It flourishes in the mountainous river systems of Asia, characterized by a spindle-shaped body, small mouth, and unique teeth.

However, S. biddulphi is at risk due to increasing human activities,9 habitat degradation,10 the effects of climate change, and emerging pathogen like Acinetobacter lwoffii11 marking it as a species needing urgent conservation efforts.12 Current research focuses on its ecology, conservation biology, and genetics to better understand its habitat requirements, reproductive behaviors, and population dynamics.8,13–15 These studies are essential for developing effective conservation strategies and managing its genetic diversity for future preservation.

This study presents a comprehensive analysis of the mitogenome of S. biddulphi. We have successfully assembled the complete mitogenome of S. biddulphi using Hifi sequencing technology. This research significantly contributes to the phylogenetic understanding of Schizothorax, providing novel insights into the genus and facilitating taxonomic revisions, especially regarding species relationships within this diverse genus. This achievement not only enhances our understanding of S. biddulphi’s genetic composition but also provides valuable insights into the phylogenetic relationships within the broader family Cyprinidae.

Materials and Methods

Sample and Sequence

The fish species featured in this study were collected from Weigan River in Tarim River basin ( 41°38 ‘25 "N, 81°26’ 42" E) of Xinjiang. China, and are housed at Tarim University (Collection No. 20230816006; for inquiries, contact Shengao Chen, shengao@taru.edu.cn) (Figure 1).

塔里木裂腹鱼加标尺
Figure 1.The sample image of S. biddulphi, taken by Shengao Chen

Genomic DNA extraction was performed using the TIANamp Genomic DNA Kit (TIANGEN, Beijing, China). The HiFi Library was prepared following the manufacturer’s protocol. Initially, a 15 μg sample was selected and the SMRTbell® Express Template Preparation Kit v2 was employed to construct the SMRTbell library. Subsequently, small DNA fragments were eliminated using BluePippin. The SMRTbell template was then annealed with a sequence primer, and the resulting complex was bound by DNA polymerase. The library underwent sequencing on the Sequel II sequencing platform (Pacific Biosciences of California, Inc., Menlo Park, CA, USA). CCS (v.6.4.0) software was utilized to generate the HiFi reads.

Mitogenome Assembly and Annotation

We constructed the mitochondrial genome of S. biddulphi by employing the MitoHiFi pipeline (https://github.com/marcelauliano/MitoHiFi), which utilized PacBio HiFi reads and was guided by a reference sequence. The initial reference sequence used was from Schizothorax lissolabiatus (NCBI: NC_027162.1). Following the assembly of the nuclear genome, we employed BLAST+ (Camacho et al. 2009) to identify similarities between the mitochondrial assembly and the nuclear genome. To exclude nuclear DNA contamination (NUMTs), we compared the mitochondrial assembly against the nuclear genome using BLAST+ with a 99% sequence identity threshold. Nuclear contigs and scaffolds with more than 99% identity to the nuclear genome were discarded. To quantify sequencing depth and validate the assembly, HiFi reads were mapped back to the final circular mitogenome using minimap2 with the HiFi preset (-ax map-hifi), and alignments were sorted and indexed with samtools. Per-base depth was computed with samtools depth.

To validate the mitochondrial assembly, we compared it to the reference mitogenomes of related species using BLAST+ and Mitoz.16 The annotated genes in the assembled mitogenome of S. biddulphi showed high identity with the corresponding genes in related species, confirming the accuracy of the assembly. To visualize the organization of the genomic features, circular maps of the S. biddulphi mitochondrial genome were created using OGDraw (https://chlorobox.mpimp-golm.mpg.de/OGDraw.html, accessed on 3 May 2024).17 These maps show the locations of all genes, tRNAs, and rRNAs, offering a detailed view of the mitochondrial structure.

Assessment of Sequence Properties

The nucleotide composition, codon usage, and relative synonymous codon usage (RSCU) of the S. biddulphi mitogenome were analyzed using CodonW.18 This shed light on the nucleotide makeup and codon preferences of the mitogenome. Nucleotide diversity (Pi) and Ka/Ks ratios for the 13 mitochondrial protein-coding genes (PCGs) in Cyprinidae were calculated using DnaSP in order to assess genetic variation patterns.19 Sliding window analyses of the PCGs were also conducted in DnaSP using 100 bp windows with 25 bp steps in order to examine diversity within PCGs. Additionally, genetic distances were estimated using the Kimura-2 parameter (K2P) model in MEGA in order to determine evolutionary relationships. Combining codon usage analysis, Pi, Ka/Ks ratios, and K2P distances enabled us to obtain comprehensive insights into the mitogenomic diversity and evolution of Schizothorax.

Phylogenetic Analyses

To determine phylogenetic relationships within Schizothorax, the 13 concatenated mitochondrial PCGs from S. biddulphi and other Schizothorax species (Supplement Table 1) were aligned using MAFFT.20 Bayesian inference employed MrBayes with two independent MCMC runs of 200 million generations, sampling every 1000 generations until convergence.21 The first 10% of trees were discarded as burn-in before computing a consensus tree. The bootstraps and posterior probabilities provided statistical support to the evaluation of topology robustness. Bayesian approaches enabled a robust phylogenomic assessment of the evolutionary relationships in Schizothorax to be performed. The phylogenetic tree was visualized with Figtree (v1.4.4), with bootstrap support values and posterior probabilities indicated on the branches.

Results

Genomic Organization and Nucleotide Composition

The mitogenome of S. biddulphi was fully assembled as a 16,558 bp circular molecule (Figure 2), with no gaps or missing regions identified. The assembly was supported by high coverage depth, ranging from 339× to 902×, and 100% of the genome was covered at least 10× (Figure S1). Mapping the HiFi reads back to the assembled genome confirmed uniform coverage across the entire mitogenome, ensuring its completeness. Additionally, the mitogenome was validated by comparing it to known mitochondrial genomes from closely related species, further confirming the absence of any fragmented or missing regions. The average sequencing depth was 607.89×, reinforcing the robustness and accuracy of the assembly. The analysis of its nucleotide composition revealed 28.14% A, 25.64% C, 18.81% G, and 28.41% T, reflecting an AT bias (56.55%) consistent with that of other Cyprinidae species. The structure of the S. biddulphi mitogenome follows the typical organization found in other Schizothorax species, with 13 protein-coding genes, 22 tRNAs, and 2 rRNAs arranged in a typical pattern (Table 1). The shortest tRNAs were tRNAPhe, tRNACys, and tRNASer at 69 bp, while the longest were tRNALeu, tRNAAsn, and tRNALeu at 74 bp. The 896 bp control region lies between tRNAPro and tRNAPhe.

Figure 2
Figure 2.A circular map of the S. biddulphi mitochondrial genome is shown, with the outer circle denoting the heavy (H) strand and the inner circle denoting the light (L) strand. The inner gray circle illustrates the GC and AT content distribution, where darker regions indicate higher GC content and lighter regions indicate higher AT content.
Table 1.Features Annotated in the S. biddulphi Mitochondrial Genome
Locus Start Stop Size (bp) Start Coding Stop Coding Strand
tRNAPhe 1 69 69 H
12S rRNA 69 1024 956 H
tRNAVal 1024 1096 73 H
16S rRNA 1097 2784 1688 H
tRNALeu 2784 2857 74 H
nad1 2816 3829 1014 ATG TAA H
tRNAIle 3831 3901 71 H
tRNAGln 3900 3971 72 L
tRNAMet 3970 4039 70 H
nad2 4039 5082 1045 ATG T H
tRNATrp 5084 5156 73 H
tRNAAla 5160 5229 70 L
tRNAAsn 5230 5303 74 L
tRNACys 5338 5406 69 L
tRNATyr 5406 5476 71 L
cox1 5468 7027 1560 GTG TAA H
tRNASer 7030 7101 72 L
tRNAAsp 7103 7175 73 H
cox2 7181 7872 692 ATG T H
tRNALys 7872 7944 73 H
atp8 7945 8113 169 ATG TAA H
atp6 8103 8787 685 ATG TAA H
cox3 8786 9572 787 ATG T H
tRNAGly 9571 9641 71 H
nad3 9641 9992 352 ATG TAG H
tRNAArg 9990 10,059 70 H
nad4l 10,059 10,356 298 ATG TAA H
nad4 10,349 11,730 1382 ATG TAG H
tRNAHis 11,730 11,799 70 H
tRNASer 11,799 11,867 69 H
tRNALeu 11,875 11,948 74 H
nad5 11,948 13,787 1840 ATG TAG H
nad6 13,783 14,305 523 ATG TAA L
tRNAGlu 14,306 14,375 70 L
cob 14,380 15,521 1142 ATG T H
tRNAThr 15,521 15,593 73 H
tRNAPro 15,593 15,663 71 L

Analysis of Mitochondrial Protein-Coding Genes

The S. biddulphi mitogenome contains a typical set of 28 genes—9 encoded on the L-strand (nad6, trnQ, trnA, trnN, trnC, trnY, trnS, trnE, and trnP) and 19 on the H-strand (atp6, atp8, cox1-3, cob, nad1-5, l-rRNA, s-rRNA, trnD-G, trnH-M, trnR-V, and trnW). The conservation of gene composition and arrangement indicates a shared evolutionary history and suggests that these genes can contribute to phylogenetic resolution at the family level of Cyprinidae species (Figure 3). The observed similarities in gene order and orientation between this study and previous investigations imply the potential utility of these genes in future phylogenetic studies within the family Cyprinidae.

Supplementary Figure 1
Figure 3.Gene order of the Schizothorax mitochondrial genomes

The S. biddulphi mitogenome consists of 3,794 codons across 13 protein-coding genes (Figure 5). Analysis of codon usage reveals important information about gene expression, mRNA stability, and evolutionary relationships. The codon usage in the S. biddulphi mitogenome revealed a strong bias towards specific codons. The most frequent amino acids encoded were Leucine, Serine, Alanine, Arginine, Threonine, and Isoleucine, while Cysteine was the least represented (Table S2). The Ka/Ks ratio (ω) were calculated using the DnaSP software,19 applying the default settings for codon-based analysis. The ratios were interpreted to detect the relative evolutionary pressure on the protein-coding genes. In this study, 12 protein-coding genes showed Ka/Ks values below 1, ranging from 0.012 to 0.147, except for nad1, which had a value of 1.89 (Figure 4). This suggests that purifying selection has significantly influenced most genes, while nad1 has undergone positive selection. Notably, the nad4L and cob genes, which encode components of the respiratory chain—nad4L being part of Complex I and cytochrome b (cob) being part of Complex III—displayed the lowest Ka/Ks ratios (0.012 and 0.018, respectively). These findings indicate stronger evolutionary constraints and a higher degree of functional constraint on these genes. Given that mitochondrial DNA encodes critical components of the respiratory chain and is vital for mitochondrial inheritance, it is particularly prone to the accumulation of deleterious mutations.

Rplot
Figure 4.Genetic diversity and evolutionary dynamics of mitogenomes in this study
Figure 5
Figure 5.Codon Usage in S. biddulphi Mitochondrial Protein-Coding Genes
ali.trim.fasta.contree
Figure 6.Phylogenetic Reconstruction of 29 Fish Mitogenomes Using 13 PCGs.

Note: S. biddulphi highlighted in red in this study

The nad2 gene displayed the highest nucleotide diversity with a π value of 0.086, followed by nad6 (0.079), nad1 (0.073), and cob (0.068). Conversely, the genes cox2 (0.034) and atp8 (0.024) showed the lowest nucleotide diversity values. To further explore the genetic distances among these sequences, mean genetic distances were calculated. Reflecting the patterns of nucleotide diversity, nad2, nad1, and cob exhibited higher genetic distances of 0.10, 0.08, and 0.08 respectively, indicating greater sequence divergence. In contrast, cox2, cox3, and atp8 had lower genetic distances of 0.04, 0.04, and 0.03 respectively, suggesting less divergence.

Nucleotide diversity (π) quantifies the average differences between two randomly selected sequences within a gene or genomic region, serving as a critical genetic parameter that measures the level of genetic variation or diversity within a population. Higher π values indicate more diversity in the nucleotide sequences of a specific region, thus allowing researchers to assess the extent of genetic variation present.

This study provide insights into the genetic diversity and sequence divergence in protein-coding genes among Cyprinidae mitogenomes. The identification of genes with high nucleotide diversity and genetic distances, such as nad2, nad1, and cob, suggests that these genes may be subjected to selective pressures or evolutionary forces that contribute to their higher variability. Exploring the functional roles of these genes and their evolutionary implications in Cyprinidae would enhance our understanding of genetic diversity and adaptation in this family.

Phylogenetic Analyses

To ensure robust phylogenetic analysis, our dataset was expanded to 16 mitogenomes. This included 29 from Schizothorax as the focal family and Aspiorhynchus laticeps as outgroups. These reference mitogenomes were retrieved from the NCBI RefSeq database, with data updated as of 17 June 2024.Phylogenetic relationships were investigated using both maximum likelihood (ML). S. biddulphi showed close affinity to Schizothorax eurystomus, in accordance with a prior study performed using morphometric data. Our study provides the first complete Schizothorax phylogenetic analysis, addressing this gap. S. biddulphi’s real taxonomy status provides insights into Schizothoracinae evolution, highlighting the need for further analyses with complementary datasets.

The phylogenetic tree illustrates the evolutionary relationships among various species within the genus Schizothorax and related genera. A. laticeps and S. biddulphi (NC_017873) appear as distinct lineages with minimal genetic distance. The genus Schizothorax is primarily composed of two major clades (Figure 6). The first major clade includes species such as S. biddulphi (this study) and Schizothorax eurystomus, which are closely related with high bootstrap support, along with Schizothorax pseudoaksaiensis. Within this clade, there is a sub-clade consisting of Schizothorax curvilabiatus, Schizothorax oconnori, Schizothorax wangchiachii, and Schizothorax waltoni, all showing high genetic affinity. Additionally, Schizothorax macropogon is part of this group, along with Schizothorax integrilabiatus, Schizothorax molesworthi, and Schizothorax plagiostomus. Another cluster includes Schizothorax esocinus, Schizothorax labiatus, Schizothorax richardsonii, and Schizothorax progastus. Schizothorax nepalensis is a distinct lineage within this clade, indicating significant genetic divergence. The second major clade encompasses species such as Schizothorax chongi and Schizothorax kozlovi, which are highly supported. This clade also includes Schizothorax davidi, Schizothorax grahami, and Schizothorax prenanti. Additionally, Schizothorax griseus and Schizothorax sinensis are closely related to Schizothorax lissolabiata and Schizothorax taliensis. The clade of Schizothorax gongshanensis and Schizothorax lantsangensis is also part of this major group and is highly supported.

Discussion

The characterization of the S. biddulphi mitogenome revealed typical features including AT bias and conserved RNAs and genes, highlighting their functional significance. Variations among Schizothorax species point to a complex interplay between conservation and adaptation. Further investigation of these variations will provide deeper insights into mitogenomic diversity and evolution in Schizothorax. The conservation of gene composition and arrangement indicates a shared evolutionary history and suggests that these genes can contribute to phylogenetic resolution at the family level of Cyprinidae species. The observed similarities in gene order and orientation between this study and previous investigations imply the potential utility of these genes in future phylogenetic studies within the family Cyprinidae.22–31

The Ka/Ks ratios indicate stronger evolutionary constraints and a higher degree of functional constraint on these genes. Given that mitochondrial DNA encodes critical components of the respiratory chain and is vital for mitochondrial inheritance, it is particularly prone to the accumulation of deleterious mutations. The robust purifying selection on the nad4L and cob genes aids in eliminating such mutations, making them ideal molecular markers for phylogenetic analysis. Based on these findings, it is reasonable to infer that these two genes can contribute to the phylogenetic resolution, providing insights into the evolutionary relationships and divergence patterns within this group.32 Genes such as nad6, nad2, nad4, nad5, and cob exhibit higher nucleotide diversity and genetic distances. These genes may be under selective pressures linked to ecological factors such as oxygen availability or temperature fluctuations, potentially contributing to their functional importance in mitochondrial adaptation. These findings are critical for understanding the phylogenetic and conservation dynamics of Schizothorax.

Positive selection on the mitochondrial nad1 gene suggests an adaptive response to ecological or environmental pressures.33,34 As a component of complex I in the mitochondrial respiratory chain, nad1 plays a critical role in cellular energy production by participating in oxidative phosphorylation. The selective advantage of positive selection in this gene may be linked to the organism’s ability to cope with variable environmental stressors such as fluctuating oxygen levels, temperature extremes, or high metabolic demands in specific habitats.33,35 For example, species living in environments where oxygen availability is low or temperature variability is high often exhibit adaptations in mitochondrial function to maintain efficient ATP production. In the case of S. biddulphi, positive selection on nad1 could be associated with metabolic adjustments that optimize energy production under such conditions. Mitochondrial genes, especially those involved in the electron transport chain, are known to undergo rapid adaptation in response to environmental stressors, contributing to an organism’s overall fitness and survival.34,36 Positive selection on the mitochondrial nad1 gene suggests a potential adaptive response, though this signal is preliminary and warrants further investigation in future studies.

Nucleotide diversity provided a critical parameter for quantifying the genetic variation within a population, representing the average differences between two randomly selected sequences within a gene or genomic region.37 Higher π values indicate greater diversity in nucleotide sequences, providing insights into the extent of genetic variation in a given region. Our study revealed that genes such as nad6, nad2, nad4, nad5, and cob exhibit higher nucleotide diversity and genetic distances. These genes may be under selective pressures or evolutionary forces that contribute to their elevated variability. This variability could be linked to functional adaptations or specific ecological pressures acting on the Cyprinidae family. The identification of genes with significant nucleotide diversity highlights important areas for future research into the evolutionary dynamics of Cyprinidae. Understanding the functional roles of these genes, along with their evolutionary implications, will provide deeper insights into genetic diversity and adaptation within this family. This research could have broader implications for conservation efforts and species management strategies. The robust purifying selection on the nad4L and cob genes aids in eliminating such mutations, making them ideal molecular markers for phylogenetic analysis.

Our phylogenetic analysis provides the comprehensive and accurate phylogenetic tree for the Schizothorax genus, revealing important insights into its evolutionary relationships. The high nucleotide diversity observed in certain genes, such as nad1 and nad2, suggests that S. biddulphi may have evolved adaptive traits to environmental changes. These insights could inform conservation strategies by targeting these genes for monitoring and maintaining genetic diversity in the species, particularly in the face of ecological threats such as habitat loss and climate change.

Notably, the mitogenome labeled as S. biddulphi (NC_017873) in the previous study falls outside the principal Schizothorax clades, indicating that this sequence may require further re-examination.13 Within Schizothorax, we also recover two well-supported clades: one comprising S. curvilabiatus, S. oconnori, S. wangchiachii, and S. waltoni, and a second including S. chongi and S. kozlovi. Together, these results support a revised placement of S. biddulphi and underscore the need to re-examine earlier taxonomic assignments using complementary datasets. This study underscores the need for further taxonomic revisions and additional analyses with complementary datasets to address these discrepancies, validating our findings as a more accurate representation of Schizothorax evolution.


Acknowledgments

This work was supported by the Tianshan Talent Training Project of Xinjiang (2023TSYCCX0128),the National Natural Science Foundation of China (31360635), the Corps Science and Technology Bureau Project (2017DB003).

Authors’ Contribution

Conceptualization: Chengxin Wang, Site Luo; Methodology: Linghui Hu, Fangze Zi; Formal analysis and investigation: Huanhuan Wang, Wenxia Cai; Writing - original draft preparation: Chengxin Wang; Supervision: Yong Song, Bin Huo and Xiaotao Shi; Writing - review and editing: Shengao Chen.

Competing of Interest – COPE

The authors declare no conflicts of interest.

Ethical Conduct Approval – IACUC

All experimental protocols were approved by the Science and Technology Ethics Committee of Tarim University (approval code:2023027) and adhered to animal welfare laws, guidelines and policies.

All authors and institutions have confirmed this manuscript for publication.

Data Availability Statement

The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/) under accession no OR812523. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA1113635, SAMN41459639 , SRR29086388, respectively.

Accepted: September 10, 2025 CDT

References

1.
Sergi D, Naumovski N, Heilbronn LK, et al. Mitochondrial (dys) function and insulin resistance: from pathophysiological molecular mechanisms to the impact of diet. Frontiers in physiology. 2019;10:532. doi:10.3389/​fphys.2019.00532
Google Scholar
2.
Mishmar D, Levin R, Naeem MM, Sondheimer N. Higher order organization of the mtDNA: beyond mitochondrial transcription factor A. Frontiers in Genetics. 2019;10:1285. doi:10.3389/​fgene.2019.01285
Google Scholar
3.
Boore JL. Animal mitochondrial genomes. Nucleic acids research. 1999;27:1767-1780. doi:10.1093/​nar/​27.8.1767
Google Scholar
4.
Machado DJ, Lyra ML, Grant T. Mitogenome assembly from genomic multiplex libraries: comparison of strategies and novel mitogenomes for five species of frogs. Molecular Ecology Resources. 2016;16:686-693. doi:10.1111/​1755-0998.12492
Google Scholar
5.
Sun CH, Liu HY, Xu N, Zhang XL, Zhang Q, Han BP. Mitochondrial genome structures and phylogenetic analyses of two tropical characidae fishes. Frontiers in Genetics. 2021;12:627402. doi:10.3389/​fgene.2021.627402. PMID:33633787
Google ScholarPubMed CentralPubMed
6.
Zakiya A, Ahmed I, Ahmad SM. Length-weight relationship and morphometric and meristic variation in Dinnawah snowtrout, Schizothorax progastus, inhabiting the Suru River and its tributaries of Kargil, Ladakh Region. Fisheries & Aquatic Life. 2023;31:198-206. doi:10.2478/​aopf-2023-0019
Google Scholar
7.
Li J, He Q, Hua X, et al. Climate and history explain the species richness peak at mid-elevation for Schizothorax fishes (Cypriniformes: Cyprinidae) distributed in the Tibetan Plateau and its adjacent regions. Global Ecology and Biogeography. 2009;18:264-272. doi:10.1111/​j.1466-8238.2008.00430.x
Google Scholar
8.
Nie Z, Ren Y, Zhang L, Ge R, Wei J. Analysis of population genetic diversity and genetic structure of Schizothorax biddulphi based on 20 newly developed SSR markers. Frontiers in Genetics. 2022;13:908367. doi:10.3389/​fgene.2022.908367. PMID:35769984
Google ScholarPubMed CentralPubMed
9.
Wang C, Serekbol G, Hu L, et al. Threatened fishes of the world: Schizothorax (Racoma) biddulphi (Günther, 1876) (Cyprinidae). Israeli Journal of Aquaculture-Bamidgeh. 2024;76:17-26. doi:10.46989/​001c.115886
Google Scholar
10.
Naseer U, Khurshid I, Hassan M. Genus Schizothorax in the northwestern himalayas. In: Biodiversity of Freshwater Ecosystems. Apple Academic Press; 2022:69-91. doi:10.1201/​9781003277125-4
Google Scholar
11.
Cao S, Geng Y, Yu Z, et al. Acinetobacter lwoffii, an emerging pathogen for fish in Schizothorax genus in China. Transboundary and emerging diseases. 2018;65:1816-1822. doi:10.1111/​tbed.12957
Google Scholar
12.
Syed TM. Ecological adaptations and conservation challenges of schizothoracids in high altitude environments: a mini review. Published online 2024. doi:10.20944/​preprints202405.1107.v1
Google Scholar
13.
Gong XL, Cui ZK, Zhang XY, Wang CH. Complete mitochondrial DNA sequence of the endangered Tarim schizothoracin (Schizothorax biddulphi Günther). Mitochondrial DNA. 2012;23:385-387. doi:10.3109/​19401736.2012.696635
Google Scholar
14.
Luo W, Nie Z, Zhan F, Wei J, Wang W, Gao Z. Rapid development of microsatellite markers for the endangered fish Schizothorax biddulphi (Günther) using next generation sequencing and cross-species amplification. International journal of molecular sciences. 2012;13:14946-14955. doi:10.3390/​ijms131114946. PMID:23203104
Google ScholarPubMed CentralPubMed
15.
Nie Z, Zhao N, Zhao H, Fu Z, Ma Z, Wei J. Cloning, expression analysis and SNP screening of the kiss1 gene in male Schizothorax biddulphi. Genes. 2023;14:862. doi:10.3390/​genes14040862. PMID:37107620
Google ScholarPubMed CentralPubMed
16.
Meng G, Li Y, Yang C, Liu S. MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization. Nucleic Acids Res. 2019;47:e63. doi:10.1093/​nar/​gkz173
Google Scholar
17.
Greiner S, Lehwark P, Bock R. OrganellarGenomeDRAW (OGDRAW) version 1.3.1: expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Res. 2019;47:W59-W64. doi:10.1093/​nar/​gkz238
Google Scholar
18.
Iriarte A, Lamolle G, Musto H. Codon usage bias: an endless tale. Journal of Molecular Evolution. 2021;89:589-593. doi:10.1007/​s00239-021-10027-z
Google Scholar
19.
Rozas J, Sánchez-DelBarrio JC, Messeguer X, Rozas R. DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics. 2003;19:2496-2497. doi:10.1093/​bioinformatics/​btg359
Google Scholar
20.
Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular biology and evolution. 2013;30:772-780. doi:10.1093/​molbev/​mst010
Google Scholar
21.
Ronquist F, Huelsenbeck JP. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003;19:1572-1574. doi:10.1093/​bioinformatics/​btg180
Google Scholar
22.
Chen F, Ma H, Ma C, et al. The complete mitochondrial genome sequence and gene organization of Amblychaeturichthys hexanema (Gobiidae: Amblychaeturichthys) with phylogenetic consideration. Mitochondrial DNA Part A. 2016;27:4687-4688. doi:10.3109/​19401736.2015.1106503
Google Scholar
23.
Da F, Wen ZY. Complete mitochondrial genome of broadbanded cardinalfish (Ostorhinchus fasciatus) and phylogenetic analysis. Mitochondrial DNA Part B. 2020;5:398-399. doi:10.1080/​23802359.2019.1704190
Google Scholar
24.
Ji D, Sun Z, Song N, Gao T, Xu S. The complete mitochondrial genome of Jaydia lineata (Perciformes, Apogonidae) obtained by next-generation sequencing. Mitochondrial DNA Part B. 2020;5:2507-2508. doi:10.1080/​23802359.2020.1780970
Google Scholar
25.
Jo S, Jung SH, Hwang HJ, et al. Complete mitochondrial genome of Pristicon trimaculatus (Kurtiformes, apogonidae): mitogenome characterization and phylogenetic analysis. Mitochondrial DNA Part B. 2019;4:288-289. doi:10.1080/​23802359.2018.1542984
Google Scholar
26.
Matias AM, Hereward J. The complete mitochondrial genome of the five-lined cardinalfish Cheilodipterus quinquelineatus (Apogonidae). Mitochondrial DNA Part B. 2018;3:521-522. doi:10.1080/​23802359.2018.1467221
Google Scholar
27.
Pan Y, Chen J, Liu C, Zeng L, Zhao X. The complete mitochondrial genome of Archamia macropterus (Perciformes; Apogonidae) and phylogenetic studies of Perciformes. Mitochondrial DNA Part B. 2019;4:3740-3741. doi:10.1080/​23802359.2019.1681311
Google Scholar
28.
Song HY, Hwang HJ, Jo S, Jung SH, Kim YC, Yoo JS. Characterization of the complete mitochondrial genome of Sphaeramia orbicularis (Kurtiformes, Apogonidae). Mitochondrial DNA Part B. 2019;4:168-169. doi:10.1080/​23802359.2018.1544867
Google Scholar
29.
Sun Y. Characterization of the complete mitochondrial genome of Ostorhinchus novemfasciatus and phylogenetic studies of Apogoninae. Mitochondrial DNA Part B. 2021;6:31-32. doi:10.1080/​23802359.2020.1845579
Google Scholar
30.
Zheng J, Chen B, Gao T, Song N. The mitochondrial genome of Chaeturichthys stigmatias provides novel insight into the interspecific difference with Amblychaeturichthys hexanema. Acta Oceanologica Sinica. 2021;40:74-81. doi:10.1007/​s13131-021-1787-1
Google Scholar
31.
Zhu K, Gao Y, Yuan P, et al. The complete mitochondrial genome of Ostorhinchus fleurieu (kurtiformes: Apogonidae) and phylogenetic studies of apogoninae. Mitochondrial DNA Part B. 2019;4:3691-3692. doi:10.1080/​23802359.2019.1679681
Google Scholar
32.
Pavlova A, Gan HM, Lee YP, et al. Purifying selection and genetic drift shaped Pleistocene evolution of the mitochondrial genome in an endangered Australian freshwater fish. Heredity. 2017;118:466-476. doi:10.1038/​hdy.2016.120
Google Scholar
33.
Romero PE, Weigand AM, Pfenninger M. Positive selection on panpulmonate mitogenomes provide new clues on adaptations to terrestrial life. BMC Evol Biol. 2016;16:164. doi:10.1186/​s12862-016-0735-8
Google Scholar
34.
Kakehashi R, Kurabayashi A. Patterns of Natural Selection on Mitochondrial Protein-Coding Genes in Lungless Salamanders: Relaxed Purifying Selection and Presence of Positively Selected Codon Sites in the Family Plethodontidae. International Journal of Genomics. 2021;2021:1-12. doi:10.1155/​2021/​6671300
Google Scholar
35.
Sahoo S, Kumar A, Rai J, Gupta SK. Turtle and tortoise mitogenomes under contrasting positive selection pressure. Org Divers Evol. 2023;23:953-965. doi:10.1007/​s13127-023-00625-8
Google Scholar
36.
Zhang F, Broughton RE. Heterogeneous natural selection on oxidative phosphorylation genes among fishes with extreme high and low aerobic performance. BMC Evol Biol. 2015;15:173. doi:10.1186/​s12862-015-0453-7
Google Scholar
37.
Sebastian W, Sukumaran S, Gopalakrishnan A. Comparative mitogenomics of Clupeoid fish provides insights into the adaptive evolution of mitochondrial oxidative phosphorylation (OXPHOS) genes and codon usage in the heterogeneous habitats. Heredity. 2022;128:236-249. doi:10.1038/​s41437-022-00519-z
Google Scholar

Supplementary Tables

Supplementary Table 1.Mitochondrial genome sequences of Cyprinidae species from NCBI used in this study
Family Genus Organism ID Length AT%
Cyprinidae Schizothorax Schizothorax biddulphi NC_017873.1 16585 55.9
Schizothorax macropogon NC_020339.1 16588 55.3
Schizothorax wangchiachii NC_020360.1 16593 55.4
Schizothorax waltoni NC_020606.1 16589 55.3
Schizothorax oconnori NC_020781.1 16590 55.4
Schizothorax richardsonii NC_021448.1 16592 55.3
Schizothorax esocinus NC_022867.1 16583 55.2
Schizothorax labiatus NC_023365.1 16582 55.3
Schizothorax progastus NC_023366.1 16575 55.2
Schizothorax plagiostomus NC_023531.1 16576 55.9
Schizothorax prenanti NC_023829.1 16587 55
Schizothorax chongi NC_024621.1 16584 55
Schizothorax pseudoaksaiensis NC_024833.1 16582 55.6
Schizothorax davidi NC_026205.1 16576 54.9
Schizothorax lantsangensis NC_026294.1 16580 54.9
Schizothorax lissolabiata NC_027162.1 16583 54.9
Schizothorax kozlovi NC_027670.1 16585 55
Schizothorax grahami NC_029708.1 16584 54.9
Schizothorax nepalensis NC_031537.1 16589 55.4
Schizothorax gongshanensis NC_031803.1 16591 55.1
Schizothorax curvilabiatus NC_035994.1 16578 55.5
Schizothorax integrilabiatus NC_036746.1 16588 55.7
Schizothorax eurystomus NC_036933.1 16588 55.1
Schizfothorax molesworthi NC_037183.1 16585 55.7
Schizothorax taliensis NC_037516.1 16578 54.9
Schizothorax griseus NC_046462.1 16586 55.1
Schizothorax sinensis NC_056907.1 16571 55
Schizothorax biddulphi OR812523.1 16588 55.1
Aspiorhynchus Aspiorhynchus laticeps NC_022855.1 16591 56
Supplementary Table 2.Amino acid composition and relative synonymous codon usage in the S. biddulphi mitogenome
Locus Start Stop Size (bp) Start Coding Stop Coding Strand
tRNAPhe 1 69 69 H
12S rRNA 69 1024 956 H
tRNAVal 1024 1096 73 H
16S rRNA 1097 2784 1688 H
tRNALeu 2784 2857 74 H
nad1 2816 3829 1014 ATG TAA H
tRNAIle 3831 3901 71 H
tRNAGln 3900 3971 72 L
tRNAMet 3970 4039 70 H
nad2 4039 5082 1045 ATG T H
tRNATrp 5084 5156 73 H
tRNAAla 5160 5229 70 L
tRNAAsn 5230 5303 74 L
tRNACys 5338 5406 69 L
tRNATyr 5406 5476 71 L
cox1 5468 7027 1560 GTG TAA H
tRNASer 7030 7101 72 L
tRNAAsp 7103 7175 73 H
cox2 7181 7872 692 ATG T H
tRNALys 7872 7944 73 H
atp8 7945 8113 169 ATG TAA H
atp6 8103 8787 685 ATG TAA H
cox3 8786 9572 787 ATG T H
tRNAGly 9571 9641 71 H
nad3 9641 9992 352 ATG TAG H
tRNAArg 9990 10,059 70 H
nad4l 10,059 10,356 298 ATG TAA H
nad4 10,349 11,730 1382 ATG TAG H
tRNAHis 11,730 11,799 70 H
tRNASer 11,799 11,867 69 H
tRNALeu 11,875 11,948 74 H
nad5 11,948 13,787 1840 ATG TAG H
nad6 13,783 14,305 523 ATG TAA L
tRNAGlu 14,306 14,375 70 L
cob 14,380 15,521 1142 ATG T H
tRNAThr 15,521 15,593 73 H
tRNAPro 15,593 15,663 71 L