Next Article in Journal
Recent Advances in Genome-Engineering Strategies
Next Article in Special Issue
The Mitochondrial Genomes of Two Parasitoid Wasps Protapanteles immunis and Parapanteles hyposidrae (Hymenoptera: Braconidae) with Phylogenetic Implications and Novel Gene Rearrangements
Previous Article in Journal
DNA Damage Response and Repair in Boron Neutron Capture Therapy
Previous Article in Special Issue
A Compositional Heterogeneity Analysis of Mitochondrial Phylogenomics in Chalcidoidea Involving Two Newly Sequenced Mitogenomes of Eupelminae (Hymenoptera: Chalcidoidea)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Complete Mitogenome of the Triplophysa bombifrons: Comparative Analysis and Phylogenetic Relationships among the Members of Triplophysa

1
College of Life Science and Technology, Tarim Research Center of Rare Fishes, Tarim University, CN-0997, Alar 843300, China
2
School of Life Sciences, Xiamen University, Xiamen 361102, China
*
Authors to whom correspondence should be addressed.
Genes 2023, 14(1), 128; https://doi.org/10.3390/genes14010128
Submission received: 7 November 2022 / Revised: 28 December 2022 / Accepted: 29 December 2022 / Published: 2 January 2023
(This article belongs to the Special Issue Advanced Research on Mitochondrial Genome)

Abstract

:
In the last decade, the phylogenetic relationships within the genus Triplophysa have become controversial, due to a lack of molecular data. The mitochondrial genome plays a vital role in the reconstruction of phylogenetic relationships and in revealing the molecular evolution of bony fishes. Herein, we obtained the complete mitogenome of Triplophysa bombifrons via HiFi reads of the Pacbio Sequel II system and DNBSEQ short-reads. We compared all available mitogenomes of the Triplophysa genus and reconstructed the phylogeny of Nemacheilidae, based on the mitogenomes, using maximum likelihood (ML) methods. The results show that the complete mitogenome sequence of T. bombifrons was circular and 16,568 bp in length, including 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA), 2 ribosomal RNA (rRNA), and a typical control region (D-loop). The most common start codons were ATG, except for cox1, and TAA/TAG were the stop codons for all PCGs. In total, 677 SNPs and 9 INDELs have been found by comparing the sequence divergence between this study and previous reports. Purity selection was found in all PCGs. Phylogeny was inferred by analyzing the 13 PCGs and the concatenated nucleotide sequences of 30 mitogenomes. The phylogenetic analyses based on the nucleotides of the 13 PCGs supported the assumption that the Triplophysa genus can be divided into 4 main clades and demonstrated that T. bombifrons and T. tenuis are closely related species for the first time. This study laid the foundation for further study on the mitogenome and phylogeny of Nemacheilidae fishes.

1. Introduction

As the world’s largest clade of primary freshwater fishes, the order Cypriniformes is divided into two superfamilies: Cyprinoidea (carp-like fishes) and Cobitoidea (loach fishes) [1]. The genus Triplophysa (Cobitoidea: Nemacheilidae) is a species-rich group that is an important component of the ichthyofauna of the Qinghai-Tibetan Plateau (QTP). The rapid and persistent elevation of the QTP is considered a major reason for the origin and diversity of this genus. Due to its strong adaptability to extreme environments, species in the Triplophysa genus are widely distributed in the QTP. This genus represents an ideal system by which to address questions about past climatic and geological events and their impacts on current biodiversity. Due to the morphological plasticity of this genus, traditional taxonomy cannot accurately distinguish all species, particularly in the case of morphologically similar and related species [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20].
The mitochondrion is a very important organelle in the eukaryocyte that exists in nearly all the bionts. Mitochondria are involved in energy metabolism, aging, apoptosis, and disease regulation [21]. Close circular double-stranded mitochondrial DNA represents a good molecular marker in systematic studies due to its simple structure, fast evolution, and high copy speed, along with its easy separation and purification. [21]. Over the last decade, more than 20 Triplophysa mitogenomes have been reported [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]. Although some groups of Triplophysa have been addressed phylogenetically, a comprehensive phylogenetic analysis has never been presented. T. bombifrons is a bony fish with a narrow distribution in China. On the one hand, water hubs, environmental pollution, overfishing, and other human activities have contributed to its endangered status. On the other hand, the endangerment of indigenous fishes has intensified under degraded environments such as alpine climatic conditions and salinized water features. One mitogenome of T. bombifrons has been reported, which was collected from Balkhash Lake in China [17]. According to the contents of the zoography and the distribution surveys over the last ten years, T. bombifrons only can be found in the upper reaches of the Yarkand River in the Kashgar area, Yurungkax River, and Keriya River in the Hotan area at present, and no distribution report for Balkhash Lake has been published in other literature sources. We have not as yet been able to source a sample of T. bombifrons from Balkhash Lake, and cannot access any voucher information from previous reports [17]. In this study, we acquired a sample of T. bombifrons from the Yurungkax River and confirmed that its morphological characteristics are consistent with the description given in the literature (Figure 1). We wanted to compare the variation in the mitochondrial genome sequence, structure, and gene content in these two mitogenomes of T. bombifrons (NC_027189 and this study). In their study, a phylogenetic tree was reconstructed with only eight Triplophysa species, which placed T. bombifrons as a closed species with T. strauchii. With the rapid development of sequence technology, sequence costs have dropped dramatically, and sequencing read length and accuracy continue to improve [22,23]. High-fidelity (HiFi) reads in single-molecule sequences overcome the disadvantages of short-read sequencing technologies and can thereby bring us more accurate mitogenome information [24].
In this study, we report the complete mitogenome of T. bombifrons, assembled with HiFi reads of the Pacbio Sequel II system and DNBSEQ short-reads. We have carried out a comprehensive analysis of Triplophysa mitogenomes and reconstructed the phylogeny relationships of the genus Triplophysa, aiming to contribute the mitogenomic data of Nemacheilidae for future phylogenetic studies of the Cypriniformes.

2. Materials and Methods

2.1. Ethical Approval

The sample collection and animal experiments were conducted according to the regulations and guidelines for the care and use of laboratory animals and were approved by the Animal Care and Use Committee of Tarim University (protocol code TDDKYXF20220316).

2.2. Experimental Fish and Sampling

One adult T. bombifrons specimen was collected via nets in the Yurungkax River (37°6′39.6″ E, 79°54′46.8″ N), in the Hotan district of the Xinjiang Uygur Autonomous Regions, China. Voucher specimens were deposited at Tarim University (accession number GYQ2022030001, Xinyue Wang, [email protected]). The species and gender identification were determined by examining the dissected gonads. Pectoral fin clips were preserved in 75% ethanol and stored at −80 °C before DNA isolation.

2.3. DNA Isolation, Library Preparation, and Sequencing

The total genomic DNA was extracted using the TIANamp Genomic DNA Kit (TIANGEN, Beijing, China). The HiFi Library was prepared according to the manufacturer’s protocol. First, a 15 μg sample was selected and the SMRTbell® Express Template Preparation Kit v2 was used to construct the SMRTbell library. The small DNA fragments were removed with BluePippin. The SMRTbell template was annealed with sequence primer, and the complex was bound by DNA polymerase. The library was sequenced on the Sequel II sequencing platform (Pacific Biosciences of California, Inc., Menlo Park, CA, USA). CCS (v.6.4.0) was used to generate the HiFi reads.
A total amount of 0.2 μg of DNA was used and the genomic DNA sample was fragmented into 350 bp fragments. The sequencing library was constructed following the manufacturer’s recommendations. The 5′ end of the library was phosphorylated and cyclized. The cyclized library was amplified by the rolling loop. Finally, the DNA nanospheres (DNB) were loaded into flowcell and then sequenced on the MGI DNBSEQ-T7 platform. In total, 20 Gb of short reads was generated. FastQC (v0.11.5) was used to qualify the sequence data-quality software [25]. Fastp (v 0.23) was used to filter low-quality reads, including those reads that contain more than 50% of bases with a Q-value of less than 2, and those reads that contain more than 5% of unknown nucleotides [26].

2.4. T. bombifrons Mitogenome Assembly and Annotation

The mitogenome of T. bombifrons was assembled with HiFi reads using the MitoHiFi (v2.2) pipeline [27]. The mitochondrial sequence of Triplophysa angeli (NC_065113.1) was used as the reference sequence since it is a closely related species to T. bombifrons. After completion of the nuclear genome assembly, the mitogenome sequence was extracted from the nuclear genome assembly using BLAST+ (v2.13.0) [28]. BWA (v.0.7.17) was used to align the short-reads from DNBSEQ-T7 to the new T. bombifrons mitogenome, then Pilon (v.1.24) was used for assembly polishing [29,30]. The mitogenome of T. bombifrons was annotated using Mitoz v3.4 [31]. The ORF Finder was used to determine 13 PCGs by comparing the reference mitogenome’s homologous sequences. In total, 22 tRNAs and 2 rRNAs were detected using MITOS [7]. Mitogenome maps were drawn using OGDRAW [32].

2.5. Sequence Analyses

Codon W was used to calculate the composition of the base, the pattern of codon usage, and the relative synonymous codon usage (RSCU). Patterns of nucleotide diversity (Pi), the non-synonymous (Ka) to synonymous rate (Ks) ratio of 13 PCGs among Triplophysa were conducted in DnaSP (v6.12.03). The sequence diversity of each PCG was estimated using sliding window analyses (window length ≤ 100 and step size = 25) in DnaSP. MEGA (v7.0) was used to estimate the genetic distances, using a Kimura-2 parameter (K2P) [33]. The number of single-nucleotide polymorphisms (SNPs) and indel sites was detected using the DnaSP software (v6.12.03) [34].

2.6. Phylogenetic Analyses

To clarify the phylogenetic relationships between T. bombifrons and other species in the Triplophysa genus, the 13 concatenated PCGs of T. bombifrons and other species available in GenBank (Table 1) were aligned using MAFFT, with default parameters [35]. The best-fit mode was calculated using the Akaike information criterion (AIC) in ModelFinder. Subsequently, the maximum-likelihood phylogenetic tree was reconstructed using IQ-TREE (v 2.1.2) with 1000 ultrafast bootstraps, under the GTR+F+R6 model [36,37].

3. Results and Discussion

3.1. Genome Structure and Base Composition

The newly complete mitogenome of T. bombifrons was identified as circular double-stranded molecules with a length of 16,568 bp, which exhibits striking similarity with other Triplophysa mitogenome sequences, differing from them between 24 bp and 113 bp, and 1 bp less than the previously published T. bombifrons mitogenome (Table 1). The mitogenome base composition is 27.46% A, 25.83% C, 18.58% G, and 28.13% T, with a slight AT bias (55.59%). Similar to other Triplophysa species, the mitogenomes of T. bombifrons contain 13 PCGs, 22 tRNAs, 2 rRNAs, and a putative control region (AT-rich region) (Figure 1, Table 2). The length of the 22 tRNAs ranged from 66 bp to 76 bp; tRNACys was the shortest (67 bp), whereas tRNALys was the longest (76 bp) in this study. The control region is 916 bp in length and is located between tRNAPro and tRNAPhe.

3.2. Description of Protein-Coding Genes (PCGs)

The majority strand (H-strand) encodes 28 genes, including atp6, apt8, cox1, cox2, cox3, cob, nad1, nad2, nd3, nad4, nd4l, nad5, l-rRNA, s-rRNA, trnD, trnF, trnG, trnH, trnI, trnK, trnL, trnL, trnM, trnR, trnS, trnT, trnV, and trnW. The remaining 9 genes (nad6, trnQ, trnA, trnN, trnC, trnY, trnS, trnE, and trnP) are encoded on the minority strand (L-strand). The gene order and gene orientation in this study are almost identical to other published studies of Triplophysa mitogenomes. However, compared with the previous report of the T. bombifrons mitogenome, the trnE, trnS, and trnQ genes are located on the L-strand in our study [17]. The typical start codons (ATG) were used in 12 PCGs, except for cox1, which starts with GTG. In total, 8 PCGs ended with the termination codon TAA (cox1, cox2, atp8, apt6, cox3, nad4l, nad5, and cob), and the remaining 5 PCGs terminated with TAG (Table 2). A similar arrangement and composition had been reported from other mitogenome studies in the genus Nemacheilidae [10,39].
Both the expression levels of the genes and the stability of the mRNA were affected by the codon preference, providing evidence in analyzing the evolutionary patterns and phylogenetic relationship [40]. The 13 PCGs encoded a total of 5522 codons in the T. bombifrons mitogenome. Isoleucine, lysine, leucine, proline, phenylalanine, alanine, asparagine, and threonine acid were the codons with the highest usage, the usage rate accounting for 3.13%, 2.88%, 2.70%, 2.64%, 2.52%, 2.48%, and 2.44% in all codons, respectively. The arginines were the codons with the lowest usage and only accounted for 0.83% of all codons (Table 3). The stop codon (TAA) was the most frequently used in the PCGs of the T. bombifrons mitogenome in this study.
As a significant indicator to identify molecular adaptation, the Ka/Ks ratio (ω) is widely used in phylogenetic analyses of molecular evolution [41]. The Ka/Ks (ω) values of the 13 PCGs were far lower than 1 (<0.12) (Figure 2), indicating that purifying selection was detected in these PCSs and these genes were suitable for reconstructing the phylogenetic relationship of the Triplophysa genus. The Ka/Ks of atp8 (0.111), nad6 (0.072), and nad2 (0.065) are much higher than other PCGs, suggesting that these three PCGs had experienced more relaxed evolutionary pressure than other PGCs and retained more non-synonymous mutations in the genes. The lowest Ka/Ks ratio was found on the nad1 gene, implying that the nad1 gene had received the greatest evolutionary pressure. Mitochondrial DNA plays a vital role in encoding the essential components of the mitochondrial respiratory chain and its inheritance is strictly maternal, which makes deleterious mutations accumulate easily in the mitogenome. The nad genes are utilized as a co-substrate in non-redox reactions and play important roles in the signaling and regulatory pathways. The strong purifying selection detected in nad1 helps to erase the deleterious mutations and makes the nad1 gene a suitable molecular marker of phylogenetic analysis in the Triplophysa genus.
The aligned sequences of 13 PCGs of six Triplophysa mitogenomes were used to detect DNA polymorphism (Figure 2, Supplementary Table S2). The highest nucleotide diversity (Pi) was found in the nad2 gene (0.203), followed by nad1 (0.182), nad5 (0.181), and nad6 (0.178). The cox3 (0.134), cox1 (0.130), and nad1 genes (0.129) have the lowest values. A similar pattern was also observed in terms of mean genetic distances (Table S3 in the Supplementary Materials). Nad2, nad11, nad5, and nad6 genes showed high genetic distances with 0.24, 021, 0.21, and 0.21, whereas the cox3, cox2, and atp8 genes exhibit lower genetic distances of 0.14, 0.12, and 0.10, respectively.

3.3. Sequence Divergence within T. bombifrons Mitogenomes

Comparing the two mitogenomes of T. bombifrons between our study and the previous report (NC_027189), 4.14% nucleotide dissimilarity (677 SNPs and 9 INDELs) had been found (Table S1 in the Supplementary Materials) [17]. In total, 550 SNPs were distributed widely among the 13 PCGs, the nad5 gene (1839 bp) demonstrated a higher ratio (12.34%) than other PCGs relative to the size of the gene, whereas the atp6 gene (684 bp) had the lowest ratio (0.58%). A similar result has been reported in Branchinella kugenumaensis mitogenomes, indicating that sequence divergence within the same species is a common phenomenon [20].
The similarity patterns of amino acid composition and synonymous codon usage were found in two T. bombifrons mitogenome sequences (Figure 3 and Supplementary Figure S1 in the Supplementary Materials). The analysis of RSCU showed that the 13 PGCs contain all codons. The five most frequently used codons in our study were Met (AUA), Met2 (AUG), Ala (GCC), Leu (CUU), and Thr (ACC), while in a previous report (NC_027189), they were Met (AUA), Met2 (AUG), Ala (GCC), Leu (CUU), and Ter (UAA) [17].

3.4. Phylogenetic Analyses

To ensure the reliability of the phylogenetic analyses, we downloaded all 28 mitogenomes of the Triplophysa species that have been characterized to date (28 October 2022) from the NCBI reference sequence (RefSeq) database [42]. The ML analyses showed Triplophysa contains 4 main clades (Clades I, II, III, and IV) (Figure 4). Clade I is divided into two subclades (I-A and I-B), with strong support in our phylogenetic reconstructions. The phylogenetic position of T. bombifrons indicated that it is the closest species to T. tenuis in subclade I-A, which was not reported in the previous T. bombifrons mitogenome report [17]. Subclade I-B encompassed T. dalaica and T. wuweiensis. Clade II comprised two subclades, both including 1 monophyly with 4 species. Species of T. cuneicephala, T. pappenheimi, T. robusta, and T. siluroides are included in Clade III. The remaining 6 species were divided into two subclades (Subclade IV-A and Subclade IV-B) and belong to Clade IV; this clade can be considered an ancestral group.

4. Conclusions

The results of the present study reported the complete mitogenome sequence of T. bombifrons using a hybrid assembly strategy, with PacBio HiFi read and DNBSEQ short-read sequence technologies. The structure of the evaluated T. bombifrons was identical to the mitogenome structure of the Triplophysa genus, including 13 PCGs, 22 tRNAs, 2 rRNAs, and one control region. Phylogenetic analyses based on the 13 PCGs strongly supported the idea that the genus Triplophysa should be divided into 4 main clades and demonstrated that T. bombifrons and T. tenuis are closely related species. The findings of this study will enrich resources of mitogenome in the genus Triplophysa and improve our knowledge of molecular characteristics in the Nemacheilidae family, providing a foundation for future study of population genetic and phylogenetic relationship in the Nemacheilidae family.

Supplementary Materials

The following supporting information can be downloaded at: https://zenodo.org/record/7299966 on 7 November 2022. Figure S1: Amino acid composition and relative synonymous codon usage in the mitogenomes of T. bombifrons; Table S1: Sequence divergence within T. bombifrons mitogenomes; Table S2: Nucleotide diversity, Ka, and Ks results of Triplophysa; Table S3: Genetic distances, based on 13 PCGs of Triplophysa.

Author Contributions

S.C. designed this study; X.W. conducted the experiments; S.L. analyzed the data; X.W. and S.L. wrote the manuscript; Y.S. and S.L. were in charge of writing, review, and editing; H.X. and F.Z. took samples. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (31360635), the Special Agriculture and Rural Finance Project (Investigation on Fishery Resources and Environment in Key Waters of Northwest China), the Corps Science and Technology Bureau Project (2017DB003).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

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 OP499856 on 26 December 2022. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA914502, SAMN32338863, SRR22839356 and SRR22839357, respectively.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Nelson, J.S.; Grande, T.C.; Wilson, M.V. Fishes of the World; John Wiley & Sons: Hoboken, NJ, USA, 2016. [Google Scholar]
  2. Galtier, N.; Nabholz, B.; Glémin, S.; Hurst, G. Mitochondrial DNA as a Marker of Molecular Diversity: A Reappraisal. Mol. Ecol. 2009, 18, 4541–4550. [Google Scholar] [CrossRef] [PubMed]
  3. Ning, X.; Zhang, Y.-Z.; Sui, Z.-H.; Quan, X.-Q.; Zhang, H.-G.; Liu, L.-X.; Han, Q.-D.; Liu, Y.-G. The Complete Mitochondrial DNA Sequence of Kashgarian Loach (Triplophysa yarkandensis) from Bosten Lake. Mitochondrial DNA Part B 2020, 5, 821–823. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Wang, Y.; Xiao, N.; Wang, S.; Luo, T.; Yang, X.; Liu, T.; Zhou, J. The Complete Mitochondrial Genome of a Cave-Dwelling Loach Triplophysa baotianensis (Teleostei: Nemacheilidae). Mitochondrial DNA Part B 2021, 6, 1209–1211. [Google Scholar] [CrossRef] [PubMed]
  5. Chen, I.-S.; Liu, G.-D.; Prokofiev, A.M. The Complete Mitochondrial Genome of Giant Stone Loach Triplophysa siluroides (Cypriniformes: Balitoridae). Mitochondrial DNA Part A 2016, 27, 998–1000. [Google Scholar] [CrossRef]
  6. Feng, X.; Chen, Y.; Sui, X.; Chen, Y. The Complete Mitochondrial Genome of Triplophysa cuneicephala (Cypriniformes: Balitoridae) with Phylogenetic Consideration. Mitochondrial DNA Part B 2019, 4, 1239–1240. [Google Scholar] [CrossRef] [Green Version]
  7. Jing, H.; Yan, P.; Li, W.; Li, X.; Song, Z. The Complete Mitochondrial Genome of Triplophysa lixianensis (Teleostei: Cypriniformes: Balitoridae) with Phylogenetic Consideration. Biochem. Syst. Ecol. 2016, 66, 254–264. [Google Scholar] [CrossRef]
  8. Liu, T.; You, P. The Complete Mitochondrial Genome of Triplophysa Sp. (Teleostei: Cypriniformes: Balitoridae). Mitochondrial DNA Part A 2016, 27, 4557–4558. [Google Scholar] [CrossRef]
  9. Wang, J.; Li, L.; Jin, X.; Wang, P.; Du, Y.; Ma, B. The Complete Mitochondrial Genome of Triplophysa tibetana. Mitochondrial DNA Part B 2019, 4, 1411–1412. [Google Scholar] [CrossRef] [Green Version]
  10. Que, Y.; Liao, X.; Xu, D.; Yang, Z.; Tang, H.; Zhu, B. The Complete Mitochondrial Genome Sequence of Triplophysa anterodorsalis (Teleostei, Balitoridae, Nemacheilinae). Mitochondrial DNA Part A 2016, 27, 937–938. [Google Scholar] [CrossRef]
  11. Tang, Q.; Huang, Y.; Wang, J.; Huang, J.; Wang, Z.; Peng, Z. The Complete Mitochondrial Genome Sequence of Triplophysa bleekeri (Teleostei, Balitoridae, Nemacheilinae). Mitochondrial DNA 2013, 24, 25–27. [Google Scholar] [CrossRef]
  12. Yan, Y.; Luo, D. The Complete Mitochondrial Genome Sequence of Triplophysa stenura (Teleostei, Cypriniformes): Genome Characterization and Phylogenetic Analysis. Mitochondrial DNA Part B 2016, 1, 607–608. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Wang, X.; Cao, L.; Zhang, E. The Complete Mitochondrial Genome Sequence of Triplophysa xiangxiensis (Teleostei: Nemacheilidae). Mitochondrial DNA Part A 2017, 28, 171–172. [Google Scholar] [CrossRef] [PubMed]
  14. Wang, J.; Tang, Q.; Wang, Z.; Zhang, Y.; Wu, Q.; Peng, Z. The Complete Mitogenome Sequence of a Cave Loach Triplophysa rosa (Teleostei, Balitoridae, Nemacheilinae). Mitochondrial DNA 2012, 23, 366–368. [Google Scholar] [CrossRef] [PubMed]
  15. Lei, D.; Conteh Kanu, U.; Zhao, G.; Xie, P.; Yuan, H.; Li, Y.; Niu, J.; Ma, X. The Complete MtDNA Genome of Triplophysa dorsalis (Cypriniformes, Balitoridae, Cobitoidea): Genome Characterization and Phylogenetic Analysis. Mitochondrial DNA Part A 2016, 27, 3745–3746. [Google Scholar] [CrossRef] [PubMed]
  16. Wang, C.; Liang, Y.-Q.; Li, M.; Zhang, Y.; Shen, Z.-J.; Jiang, Z.-W. Complete Mitochondrial DNA Genome of Triplophysa venusta (Cypriniformes: Cobitida). Mitochondrial DNA Part A 2016, 27, 4617–4619. [Google Scholar] [CrossRef]
  17. Ming Han, M.; Lu, J.; Wang, L.; Mahboob, S.; Al-Ghanim, K.A.; Sun, X.-W. Complete Mitochondrial Genome of the Triplophysa bombifrons and Triplophysa strauchii. Mitochondrial DNA Part A 2016, 27, 4710–4711. [Google Scholar] [CrossRef]
  18. Yang, X.; Wen, H.; Luo, T.; Zhou, J. Complete Mitochondrial Genome of Triplophysa nasobarbatula. Mitochondrial DNA Part B 2020, 5, 3771–3772. [Google Scholar] [CrossRef]
  19. Yan, P.; Li, J.; Ma, Q.; Deng, Y.; Song, Z. Complete Mitochondrial Genome of Triplophysa robusta (Teleostei: Cypriniformes: Balitoridae). Mitochondrial DNA Part A 2016, 27, 1715–1716. [Google Scholar]
  20. Sun, X.; Cheng, J. Comparative Mitogenomic Analyses and New Insights into the Phylogeny of Thamnocephalidae (Branchiopoda: Anostraca). Genes 2022, 13, 1765. [Google Scholar] [CrossRef]
  21. Boore, J.L. Animal Mitochondrial Genomes. Nucleic Acids Res. 1999, 27, 1767–1780. [Google Scholar] [CrossRef] [Green Version]
  22. Yang, X.; Zhao, X.; Qu, S.; Jia, P.; Wang, B.; Gao, S.; Xu, T.; Zhang, W.; Huang, J.; Ye, K. Haplotype-Resolved Chinese Male Genome Assembly Based on High-Fidelity Sequencing. Fundam. Res. 2022, 2, 946–953. [Google Scholar] [CrossRef]
  23. Li, X.; Ellis, E.; Plotkin, D.; Imada, Y.; Yago, M.; Heckenhauer, J.; Cleland, T.P.; Dikow, R.B.; Dikow, T.; Storer, C.G.; et al. First Annotated Genome of a Mandibulate Moth, Neomicropteryx Cornuta, Generated Using PacBio HiFi Sequencing. Genome Biol. Evol. 2021, 13, evab229. [Google Scholar] [CrossRef] [PubMed]
  24. Kim, N.Y.; Ahn, S.J.; Seo, J.S.; Jeon, E.J.; Cho, M.Y.; Choi, H.S. Characterization of the Complete Mitochondrial Genome of Miamiensis Avidus Causing Flatfish Scuticociliatosis. Genetica 2022, 150, 407–420. [Google Scholar] [CrossRef] [PubMed]
  25. FastQC. FastQC: A Quality Control Tool for High Throughput Sequence Data; Babraham Bioinformatics: Cambridge, UK, 2018. [Google Scholar]
  26. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [PubMed]
  27. Allio, R.; Schomaker-Bastos, A.; Romiguier, J.; Prosdocimi, F.; Nabholz, B.; Delsuc, F. MitoFinder: Efficient Automated Large-Scale Extraction of Mitogenomic Data in Target Enrichment Phylogenomics. Mol. Ecol. Resour. 2020, 20, 892–905. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and Applications. BMC Bioinform. 2009, 10, 421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Li, H. Aligning Sequence Reads, Clone Sequences and Assembly Contigs with BWA-MEM. arXiv 2013, arXiv:1303.3997. [Google Scholar]
  30. Walker, B.J.; Abeel, T.; Shea, T.; Priest, M.; Abouelliel, A.; Sakthikumar, S.; Cuomo, C.A.; Zeng, Q.; Wortman, J.; Young, S.K.; et al. Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement. PLoS ONE 2014, 9, e112963. [Google Scholar] [CrossRef]
  31. 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. [Google Scholar] [CrossRef] [Green Version]
  32. 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. [Google Scholar] [CrossRef] [Green Version]
  33. Gogoi, B.; Bhau, B.S. DNA Barcoding of the Genus Nepenthes (Pitcher Plant): A Preliminary Assessment towards Its Identification. BMC Plant Biol. 2018, 18, 153. [Google Scholar] [CrossRef] [PubMed]
  34. Williams, L.M.; Ma, X.; Boyko, A.R.; Bustamante, C.D.; Oleksiak, M.F. SNP Identification, Verification, and Utility for Population Genetics in a Non-Model Genus. Bmc Genet. 2010, 11, 32. [Google Scholar] [CrossRef] [PubMed]
  35. Katoh, K.; Standley, D.M. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Kalyaanamoorthy, S.; Minh, B.Q.; Wong, T.K.F.; von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar] [CrossRef] [Green Version]
  37. Nguyen, L.-T.; Schmidt, H.A.; von Haeseler, A.; Minh, B.Q. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef]
  38. Carraretto, D.; Aketarawong, N.; Di Cosimo, A.; Manni, M.; Scolari, F.; Valerio, F.; Malacrida, A.R.; Gomulski, L.M.; Gasperi, G. Transcribed Sex-Specific Markers on the Y Chromosome of the Oriental Fruit Fly, Bactrocera Dorsalis. BMC Genet. 2020, 21, 125. [Google Scholar] [CrossRef]
  39. Zhou, L.; Huang, S.; Wang, Q.; Li, Z.; Li, Z.; He, A.; Chen, J.; Liu, L.; Zou, K. Novel Evolutionary Insights into Nemacheilid Cavefish: Evidence from Comparative Analysis of Mitochondrial Genomes. J. Oceanol. Limnol. 2022, 40, 1640–1653. [Google Scholar] [CrossRef]
  40. Iriarte, A.; Lamolle, G.; Musto, H. Codon Usage Bias: An Endless Tale. J. Mol. Evol. 2021, 89, 589–593. [Google Scholar] [CrossRef]
  41. Hurst, L.D. The Ka/Ks Ratio: Diagnosing the Form of Sequence Evolution. Trends Genet. TIG 2002, 18, 486. [Google Scholar] [CrossRef]
  42. O’Leary, N.A.; Wright, M.W.; Brister, J.R.; Ciufo, S.; Haddad, D.; McVeigh, R.; Rajput, B.; Robbertse, B.; Smith-White, B.; Ako-Adjei, D.; et al. Reference Sequence (RefSeq) Database at NCBI: Current Status, Taxonomic Expansion, and Functional Annotation. Nucleic Acids Res. 2016, 44, D733–D745. [Google Scholar] [CrossRef]
Figure 1. The circular map of the T. bombifrons mitogenome. The outer circle and inner circle represent the H-strand and L-strand, respectively. The GC and AT contents were plotted in the dark and light regions in the inner grey circle, respectively.
Figure 1. The circular map of the T. bombifrons mitogenome. The outer circle and inner circle represent the H-strand and L-strand, respectively. The GC and AT contents were plotted in the dark and light regions in the inner grey circle, respectively.
Genes 14 00128 g001
Figure 2. Genetic diversity and the Ka/Ks ratio of each PCG among the Triplophysa mitogenome.
Figure 2. Genetic diversity and the Ka/Ks ratio of each PCG among the Triplophysa mitogenome.
Genes 14 00128 g002
Figure 3. The codon content bar plot of the amino acids of 13 PCGs in the T. bombifrons mitogenome.
Figure 3. The codon content bar plot of the amino acids of 13 PCGs in the T. bombifrons mitogenome.
Genes 14 00128 g003
Figure 4. Phylogenetic relationship of 29 Triplophysa mitogenomes inferred by ML analyses, based on 13 PCGs. The number (%) on the branches indicates the maximum likelihood (ML) bootstrap support value. The T. bombifrons in this study was marked in red and asterick (*).
Figure 4. Phylogenetic relationship of 29 Triplophysa mitogenomes inferred by ML analyses, based on 13 PCGs. The number (%) on the branches indicates the maximum likelihood (ML) bootstrap support value. The T. bombifrons in this study was marked in red and asterick (*).
Genes 14 00128 g004
Table 1. Detailed information of the mitogenome sequences from 29 Triplophysa and 1 Aborichthys species in this study.
Table 1. Detailed information of the mitogenome sequences from 29 Triplophysa and 1 Aborichthys species in this study.
GenusSpeciesSize (bp)Accession NoResource
TriplophysaT. bombifrons16,568OP499856this study
T. bombifrons16,569NC_027189[17]
T. tenuis16,571NC_030511
T. dorsalis16,572NC_029423[15]
T. strauchii16,590NC_026714[17]
T. stoliczkai16,571NC_017890
T. xichangensis16,570NC_030513
T. dalaica16,569NC_037925
T. wuweiensis16,681NC_030512
T. venusta16,574NC_029330[16]
T. angeli16,569NC_065113
T. bleekeri16,568NC_018774[11]
T. anterodorsalis16,567NC_024597[10]
T. orientalis16,562NC_030505
T. stenura16,569NC_032692[12]
T. stewarti16,567NC_030506
T. lixianensis16,570NC_030521[7]
T. tibetana16,574NC_030483[9]
T. pappenheimi16,571NC_037924[6]
T. pappenheimi16,572NC_033972
T. robusta16,570NC_025632[19]
T. siluroides16,574NC_024611[5]
T. wangmoensis16,569NC_037704 [8]
T. xiangxiensis16,598NC_029492[13]
T. rosa16,585NC_019587[14]
T. nasobarbatula16,605NC_058005[18]
T. baotianensis16,576NC_056365[4]
T. zhenfengensis16,564NC_063617[38]
T. yarkandensis16,574NC_027517[3]
AborichthysA. elongatus16,544NC_031582
Table 2. Annotation of genes in the T. bombifrons mitogenome.
Table 2. Annotation of genes in the T. bombifrons mitogenome.
LocusStartStopSize (bp)Start CodingStop CodingStrand
tRNAPhe16969 H
12S rRNA701017948 H
tRNAVal1020109172 H
16S rRNA109227681677 H
tRNALeu2769284375 H
nad128443818975ATGTAGH
tRNAIle3826389671 H
tRNAGln3895396571 L
tRNAMet3967403569 H
nad2403650821047ATGTAGH
tRNATrp5081515070 H
tRNAAla5153522169 L
tRNAAsn5223529573 L
tRNACys5327539266 L
tRNATyr5393546068 L
cox1546270121551GTGTAAH
tRNASer7013708371 L
tRNAAsp7086715873 H
cox271727876705ATGTAAH
tRNALys7863793876 H
atp879408107168ATGTAAH
atp680988781684ATGTAAH
cox387819581801ATGTAAH
tRNAGly9565963773 H
nad396389988351ATGTAGH
tRNAArg998710,05670 H
nad4l10,05710,353297ATGTAAH
nad410,34711,7291383ATGTAGH
tRNAHis11,72911,79870 H
tRNASer11,79911,86668 H
tRNALeu11,86811,94073 H
nad511,94113,7791839ATGTAAH
nad613,77614,297522ATGTAGL
tRNAGlu14,29814,36669 L
cob14,37215,5321161ATGTAAH
tRNAThr15,51315,58371 H
tRNAPro15,58215,65170 L
Table 3. Codon usage in the T. bombifrons mitogenome.
Table 3. Codon usage in the T. bombifrons mitogenome.
AminoAcidSymbolCodonNo.PercentRSCU
*TerUAA1322.39%1.3573
*TerAGA891.61%0.9152
*TerUAG891.61%0.9152
*TerAGG791.43%0.8123
AAlaGCC1392.52%1.8533
AAlaGCA751.36%1
AAlaGCU631.14%0.84
AAlaGCG230.42%0.3067
CCysUGC701.27%1.0526
CCysUGU631.14%0.9474
DAspGAU611.10%1.0702
DAspGAC530.96%0.9298
EGluGAA601.09%1.1009
EGluGAG490.89%0.8991
FPheUUU1462.64%1.2586
FPheUUC861.56%0.7414
GGlyGGG641.16%1.0364
GGlyGGA651.18%1.0526
GGlyGGC701.27%1.1336
GGlyGGU480.87%0.7773
HHisCAU1081.96%1.1309
HHisCAC831.50%0.8691
IIleAUU1733.13%1.3569
IIleAUC821.48%0.6431
KLysAAA1101.99%1.0945
KLysAAG911.65%0.9055
LLeuUUA1492.70%1.3484
LLeuCUU1592.88%1.4389
LLeuCUA1041.88%0.9412
LLeuUUG881.59%0.7964
LLeuCUC841.52%0.7602
LLeuCUG791.43%0.7149
MMetAUG851.54%2.3224
MMetAUA981.77%2.6776
MMetAUC00.00%0
MMetAUU00.00%0
MMetGUG00.00%0
NAsnAAU1372.48%1.1861
NAsnAAC941.70%0.8139
PProCCU1382.50%1.2267
PProCCC1492.70%1.3244
PProCCA1011.83%0.8978
PProCCG621.12%0.5511
QGlnCAA1081.96%1.2632
QGlnCAG631.14%0.7368
RArgCGC460.83%1.0395
RArgCGG551.00%1.2429
RArgCGA440.80%0.9944
RArgCGU320.58%0.7232
SSerUCA881.59%1.0539
SSerAGU921.67%1.1018
SSerUCU1001.81%1.1976
SSerAGC1132.05%1.3533
SSerUCC821.48%0.982
SSerUCG260.47%0.3114
TThrACA1031.87%1.0537
TThrACU1122.03%1.1458
TThrACC1352.44%1.3811
TThrACG410.74%0.4194
VValGUA601.09%1.106
VValGUU731.32%1.3456
VValGUC510.92%0.9401
VValGUG330.60%0.6083
WTrpUGA791.43%1.0064
WTrpUGG781.41%0.9936
YTyrUAU1202.17%1.1429
YTyrUAC901.63%0.8571
Note: “*” represent the stop codon.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, X.; Song, Y.; Xie, H.; Zi, F.; Chen, S.; Luo, S. Complete Mitogenome of the Triplophysa bombifrons: Comparative Analysis and Phylogenetic Relationships among the Members of Triplophysa. Genes 2023, 14, 128. https://doi.org/10.3390/genes14010128

AMA Style

Wang X, Song Y, Xie H, Zi F, Chen S, Luo S. Complete Mitogenome of the Triplophysa bombifrons: Comparative Analysis and Phylogenetic Relationships among the Members of Triplophysa. Genes. 2023; 14(1):128. https://doi.org/10.3390/genes14010128

Chicago/Turabian Style

Wang, Xinyue, Yong Song, Haoyang Xie, Fangze Zi, Shengao Chen, and Site Luo. 2023. "Complete Mitogenome of the Triplophysa bombifrons: Comparative Analysis and Phylogenetic Relationships among the Members of Triplophysa" Genes 14, no. 1: 128. https://doi.org/10.3390/genes14010128

APA Style

Wang, X., Song, Y., Xie, H., Zi, F., Chen, S., & Luo, S. (2023). Complete Mitogenome of the Triplophysa bombifrons: Comparative Analysis and Phylogenetic Relationships among the Members of Triplophysa. Genes, 14(1), 128. https://doi.org/10.3390/genes14010128

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop