Next Article in Journal
Biodiversity Assessment of a Mississippi River Backwater Complex Using eDNA Metabarcoding
Previous Article in Journal
A New Genus and Species of Marine Symbiotic Shrimp (Crustacea: Decapoda: Palaemonidae) from New Caledonia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mitochondrial Genome Diversity of Schistura McClelland, 1838 (Teleostei, Nemacheilidae)

1
Fisheries College, Hunan Agricultural University, Changsha 410128, China
2
College of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China
*
Author to whom correspondence should be addressed.
Diversity 2024, 16(8), 494; https://doi.org/10.3390/d16080494
Submission received: 30 June 2024 / Revised: 29 July 2024 / Accepted: 5 August 2024 / Published: 13 August 2024
(This article belongs to the Section Biodiversity Conservation)

Abstract

:
The inconsistency between traditional morphological taxonomy and molecular phylogenetic data is a major issue that puzzles the study of fish classification and evolution. Although mitochondrial genes are commonly used in phylogenetic analyses to compare fish species, the mitochondrial evolution and diversity of Schistura are still not well understood. To better understand the evolution of Schistura, we sequenced the mitochondrial genome of Schistura fasciolata and compared it with other species of Schistura. A 16,588 bp circular mitochondrial genome of S. fasciolata was obtained and it contains 13 protein-coding, 22 transfer RNA, and two ribosomal RNA genes, and a non-coding control region. The gene arrangement in the mitochondrial genomes of all Schistura species was consistent. However, we also found that S. fasciolata was not monophyletic. Although mitochondrial genes can be effectively used for Schistura species identification, they may not be suitable for inferring the evolutionary process of Schistura species. These results provide support for the use of mitochondrial genes in identifying Schistura species, and also serve as a warning against mistakenly using them to evaluate the evolution process of Schistura species.

1. Introduction

The inconsistency between traditional morphological taxonomy and molecular phylogenetic data is a major issue that puzzles the study of fish classification and evolution [1]. For instance, Nemacheilidae in the superfamily Cobitoidea exhibits inconsistencies between traditional morphological and molecular phylogenetic taxonomy [1]. Schistura McClelland, 1838, is the largest genus in Nemacheilidae [2,3,4], and is found throughout a large portion of South and Southeast Asia [5]. Because of their charming color stripe pattern and size, Schistura species are very popular in the ornamental fish trade [6]. However, there is still controversy surrounding the monophyly of Schistura [7,8,9]. Current evidence suggests that species of Schistura belong to at least two distant groups within the Nemacheilidae [10]. However, insufficient morphological and genetic data for most Schistura species have hindered the ability to accurately diagnose species groups as genera [9]. Furthermore, a large number of species and the wide distribution hinder the global revision of this genus [4]. Few researchers have tried to determine the natural population of Schistura species in order to conduct a manageable scale revision of the genus, analyze their taxonomy and biogeography, and contribute to their conservation [4].
Mitochondrial genes, such as cytochrome C oxidase I gene (COXI), cytochrome b gene (cyt b), and non-coding control region (D-loop), are often used to analyze the phylogenetic relationship among fishes [1,9,11,12]. For instance, Chen et al. [1] used recombinase-activating gene protein 1 (RAG1) and COX1 to study the phylogenetic relationships among Nemacheilidae species. They found that some species and genera were inconsistent with the traditional morphological classification [1]. The advancement of high-throughput sequencing technology has led to the use of complete mitochondrial sequences in analyzing fish phylogeny and population genetics [13,14,15,16,17,18]. Additionally, Muhala et al. [19] have shown that comparative analysis of mitochondrial genomes can provide insights into the subtle changes of gene ratio, intergenic spacer, and the phylogenetic relationships of mudskipper species. Therefore, we hypothesized that analyzing the mitochondrial genome of Schistura could aid in evaluating the feasibility of species identification and understanding the evolutionary process using mitochondrial genes.
Due to a sharp decline in population, Schistura fasciolata was listed in the IUCN Red List of Threatened Species in 2012 [20]. In this study, we have sequenced a mitochondrial genome of S. fasciolata and compared it with those of other Schistura species. Our findings provide a valuable reference for understanding the evolutionary process and classification of Schistura species.

2. Materials and Methods

2.1. Mitochondrial Data Retrieval

Thirty-one mitochondrial genomes of Schistura species were retrieved from the NCBI GenBank database (Table S1).

2.2. Mitochondrial Genome Sequencing of S. fasciolata

The study was approved by the Animal Ethics Committee of Hunan Agricultural University (Changsha, China; approval number: 20231015; approval date: 15 October 2023). The experiment was conducted in accordance with the Regulations on the Administration of Laboratory Animals of China. S. fasciolata were sampled from the Manxiba, Simao District, Pu’er City, Yunnan Province, China (N 22.7924, E 100.9835). The fin strips were preserved in 75% alcohol and sent to Wuhan Fisha Genetic Information Co., Ltd. (Wuhan, China). for sequencing and analysis. A specimen was deposited at Hunan Agricultural University Fisheries College (contact person Baohong Xu, [email protected]) under the voucher number Sf20230316123.
The fin strips of S. fasciolata were firstly soaked in sterile double distilled water for three 30 min intervals. The fish genomic DNA was then extracted following a previously described method [21]. Approximately 1 μg of DNA was used to construct the libraries using the MGI DNA Library Universal Kit (Vazyme Biotech Co., Ltd., Nanjing, China), and sequenced using a NovaSeq 6000 sequencer (Illumina, San Diego, CA, USA). The raw data were quality controlled using fastp v0.36 software [22]. The high-quality sequencing reads were assembled using SPAdes 3.0 [23] and SOAPdenovo2 1.0 [24] to generate preliminary assembly results. These results were then compared to the Nucleotide Database version 102 using the BLAST program to identify sequences annotated to the mitochondrial genome that form a ring structure. The results from both software were combined using CAP3 1.0 [25], and the assembly was further confirmed by comparing it to the mitochondrial genomes of closely related species using mummer software version 3.23 (https://github.com/mummer4/mummer, accessed on 30 October 2023) to obtain a high-quality mitochondrial genome.

2.3. Data Analysis

The gene structure of the mitochondrial genome was predicted using Glimmer v3.02 [26]. Transfer RNA (tRNA) was scanned using tRNAscan-SE 2.0 [27]. Ribosomal RNA (rRNA) was predicted using RNAmmer v1.2 [28]. ncRNA structure was scanned using Rfam v12.0 [29]. The mitochondrial genome was drawn using Proksee v1.0.0a6 [30]. Synteny of the mitochondrial genomes was analyzed using Mauve 20150226 [31]. Phylogenetic trees were reconstructed in Molecular Evolutionary Genetics Analysis 11 (MEGA11) [32] with 1000 bootstraps.

3. Results

The circular mitochondrial genome of S. fasciolata was 16,588 bp in length. It contains 13 protein-coding, 22 tRNA, and two rRNA genes, and a non-coding control region (D-loop) (Figure 1). Most protein-coding genes started from ATG, except for COXI which started from GTG. Notably, most protein-coding genes were inferred to be terminated with incomplete stop codons T or TA- (ND2, COXII, COXIII, ND3, ND4, and cyt b). Six protein-coding genes share the typical stop codon TAA (ND1, COXI, ATP8, ATP6, ND4L, and ND5), while ND6 uses TAG as a stop codon. The GC content was 42.54%. The length of the tRNA genes ranged from 62 to 76 bp, with a total length of 1557 bp. The lengths of the 12S and 16S rRNA genes were 947 and 1635 bp, respectively.
Genome synteny analysis showed that the genes in the mitochondrial genomes of all Schistura species were arranged in a synteny pattern (Figure S1). Except for the S. rupecula (AP011306.1) which lacked the D-loop region sequence, the mitochondrial genomes of other Schistura species were complete. The maximum-likelihood phylogenetic analyses based on different mitochondrial genes did not consistently show the same topological structure (Figure 2). Specifically, the ATP6, ND3, ND5, and ND6 genes, as well as the D-loop region, exhibited greater differences among species compared to other genes (Figure 2). Despite this, with the exception of S. fasciolata, the mitochondrial genes of the other Schistura species were clustered into single phylogenetic branches according to their respective species (Figure 2). Additionally, most of the mitochondrial genes showed no differences within the same species of Schistura (Figure 2). Interestingly, except for the ND6 gene, the phylogenetic trees based on the other mitochondrial protein-coding genes, rRNA genes, and D-loop region showed that S. fasciolata clustered with Schistura kaysonei, Schistura callichromus, and Schistura incerta, forming a consistent topological structure (Figure 2). These results suggested that S. fasciolata was not monophyletic. Furthermore, while mitochondrial genes can be used effectively for identifying Schistura species, they may not be suitable for inferring the evolutionary process of these species.
The phylogenetic trees based on the mitochondrial genomes of these fish, with and without the D-loop region, revealed that the inclusion of the D-loop region only affected the phylogenetic relationship between Schistura reticulata (KY379150.1) and Schistura sikmaiensis (KY379151.1 and NC 034746.1), but did not obviously impact the phylogenetic relationships among other Schistura species (Figure 3). Similar to the results of the single gene (except for the D-loop region), the phylogenetic tree based on the mitochondrial genomes also showed that S. fasciolata were clustered with S. kaysonei, S. callichromus, and S. incerta (Figure 3). These finding suggested that S. fasciolata was not a monophyletic species.

4. Discussion

Except for a few exceptions, the mitochondrial genomes of metazoan are usually composed of double-stranded circular DNA molecules, including 13 protein-coding genes, 22 tRNAs, two rRNA genes, and a D-loop region [33]. However, deviations from this standard architecture have been identified in teleosts, including replication, local position changes, and transposition [13,34]. For instance, the mitochondrial ND6 gene is found within the D-loop region instead of its usual position between the ND5 and cyt b genes in Morone, Dicentrarchus, and other species in Nototheniidae [35,36]. Our results also indicated that the complete mitogenome of S. fasciolata followed the typical metazoan architecture. Additionally, our genome synteny analysis revealed that the gene arrangement in the mitochondrial genomes of all Schistura species was consistent. A previous study shows the lengths of mitochondrial genomes of S. fasciolata and S. incerta are 16,560 and 16,561 bp, respectively [1]. However, our results showed that the length of mitochondrial genomes of S. fasciolata was 16,588 bp. The difference was mainly caused by the different length of D-loop region. However, the ecological mechanism of this difference and its influence on the fish’s adaptation to the environment are still unknown.
As described in previous studies on the Nemacheilinae [1], the ND6 gene was located on a separate mitochondrial DNA chain from other mitochondrial genes in S. fasciolata mitochondria (Figure 1). This could explain why the evolutionary tree constructed based on the ND6 gene differed from those based on other mitochondrial genes (Figure 2). These results suggested that the evolutionary pattern of the ND6 gene differed from those of other mitochondrial genes in Schistura species. Although mitochondrial genome rearrangements could be the basis of temperature adaptations of Antarctic notothenioid fishes [33], considering that ND6 subunit is essential for membrane arm assembly and the respiratory function of the mitochondrial NADH dehydrogenase [37], the effect of this unusual structural rearrangement in mitochondria on fish physiology is still unclear and needs further study.
Mitochondrial genes are commonly used for fish species identification and phylogenetic inference [38]. For instance, Cyt b is frequently used in phylogenetic studies of cobitoids to determine the relationships within genus [11,39]. While the D-loop region is not as commonly used, it is used to detect variation within species and identify species complexes in Lefua and other Cyprinidae fishes [40,41,42]. The D-loop region is often used to study population diversity due to its relatively high mutations [40,41,42,43]. Padhi et al. [44] reported the distribution of a 35 bp mitochondrial D-loop tandem repeat in the freshwater catfish Pylodictis olivaris populations in North America. They found that more than 70% of individuals sampled from the coast areas of the Southeastern Gulf have 35 bp mitochondrial D-loop tandem repeat, while more than 95% of individuals sampled from the Mississippi River and its tributaries, and the coastal areas of the Southwest Gulf, lacked such a tandem repeat. However, our results indicated that although mitochondrial genes can effectively be used for Schistura species identification, they may not be suitable for inferring the evolutionary processes of Schistura species.

5. Conclusions

The arrangement of genes in the mitochondrial genomes of all Schistura species was found to be synteny. However, it was observed that S. fasciolata was not monophyletic. Mitochondrial genes can be effectively used for delimiting Schistura species. However, they were not suitable for inferring the evolutionary processes of these species.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d16080494/s1, Figure S1: Mitochondrial genome synteny of Schistura; Table S1: Basic information of complete mitochondrial genomes of Schistura.

Author Contributions

Conceptualization, B.X. and T.X.; methodology, X.P., B.X., C.C. and J.S.; software, X.P. and J.S.; validation, T.X.; formal analysis, X.P. and C.C.; investigation, X.P., B.X. and C.C.; resources, T.X.; data curation, T.X.; writing—original draft preparation, X.P.; writing—review and editing, B.X.; visualization, X.P.; supervision, T.X.; project administration, T.X.; funding acquisition, B.X. and J.S. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Hunan Innovative Province Construction Special Project (Grant number: 2022JJ30293, and 2022NK2018).

Institutional Review Board Statement

All experiments were approved by the Animal Ethics Committee of Hunan Agricultural University (Changsha, China; Approval Number: 20231015; Approval Date: October 15, 2023). The experiment was carried out in accordance with the ethical guidelines of Hunan Agricultural University for the care and use of laboratory animals and the Regulations on the Administration of Laboratory Animals of China.

Data Availability Statement

The assembled mitochondrial genome sequence of S. fasciolata was delivered into GenBank (http://www.ncbi.nlm.nih.gov/, accessed on 30 October 2023) under the accession number OR750776. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA1043849, SRR26912696, and SAMN38354725, respectively.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, W.; Yang, J.; Li, Y.; Li, X. Exploring Taxonomic Diversity and Biogeography of the Family Nemacheilinae (Cypriniformes). Ecol. Evol. 2019, 9, 10343–10353. [Google Scholar] [CrossRef] [PubMed]
  2. Chen, Y.; Kong, D.; Yang, J. Schistura cryptofasciata, a New Loach (Cypriniformes: Balitoridae) from Salween Drainage in Yunnan, Southwestern China. Raffles Bull. Zool. 2005, 13, 27–32. Available online: https://eurekamag.com/research/023/561/023561462.php (accessed on 30 October 2023).
  3. Bohlen, J.; Dvořák, T.; Šlechta, V.; Šlechtová, V. Resolving an unnoticed diversity within the Schistura robertsi species complex (Teleostei: Nemacheilidae) using molecules and morphology. Mol. Phylogen. Evol. 2020, 151, 106894. [Google Scholar] [CrossRef] [PubMed]
  4. Dvořák, T.; Bohlen, J.; Kottelat, M.; Šlechtová, V. Revision of the Schistura cincticauda species group (Teleostei, Nemacheilidae) using molecular and morphological markers. Sci. Rep. 2023, 13, 16996. [Google Scholar] [CrossRef] [PubMed]
  5. Kottelat, M. Conspectus Cobitidum: An Inventory of the Loaches of the World (Teleostei: Cypriniformes: Cobitoidei). Raffles Bull. Zool. 2012, 26, 1–199. [Google Scholar]
  6. Siva, C.; Kumar, R.; Sharma, L.; Laskar, M.A.; Sumer, S.; Barat, A.; Sahoo, P.K. The Complete Mitochondrial Genome of a Stream Loach (Schistura reticulofasciata) and Its Phylogeny. Conserv. Genet. Resour. 2018, 10, 829–832. [Google Scholar] [CrossRef]
  7. Liu, S.; Mayden, R.L.; Zhang, J.; Yu, D.; Tang, Q.; Deng, X.; Liu, H. Phylogenetic Relationships of the Cobitoidea (Teleostei: Cypriniformes) Inferred from Mitochondrial and Nuclear Genes with Analyses of Gene Evolution. Gene 2012, 508, 60–72. [Google Scholar] [CrossRef] [PubMed]
  8. Jamshidi, S.; Abdoli, A.; Sherafatian, M.; Golzarianpour, K. Analysis of Mitochondrial DNA Sequences of Turcinoemacheilus genus (Nemacheilidae Cypriniformes) in Iran. Iran. J. Fish. Sci. 2013, 12, 592–604. [Google Scholar] [CrossRef]
  9. Sgouros, K.; Page, L.M.; Orlofske, S.A.; Jadin, R.C. A Revised Molecular Phylogeny Reveals Polyphyly in Schistura (Teleostei: Cypriniformes: Nemacheilidae). Zootaxa 2019, 4559, 349–362. [Google Scholar] [CrossRef] [PubMed]
  10. Eschmeyer, W.; Fricke, R.; Van der Laan, R. Catalog of Fishes: Classification. Catalog of Fishes, Electronic Version; 2018. Available online: http://www.calacademy.org/scientists/projects/eschmeyers-catalog-of-fishes (accessed on 17 May 2018).
  11. Deng, H.; Wen, H.; Xiao, N.; Zhou, J. A New Blind Species of the Cave Genus Oreonectes from Guizhou, China (Nemacheilinae). Zookeys 2016, 637, 47–59. [Google Scholar] [CrossRef]
  12. Xiong, F.; Shu, L.; Zeng, H.; Gan, X.; He, S.; Peng, Z. Methodology for fish biodiversity monitoring with environmental DNA metabarcoding: The primers, databases and bioinformatic pipelines. Water Biol. Secur. 2022, 1, 100007. [Google Scholar] [CrossRef]
  13. Satoh, T.P.; Miya, M.; Mabuchi, K.; Nishida, M. Structure and Variation of the Mitochondrial Genome of Fishes. BMC Genom. 2016, 17, 719. [Google Scholar] [CrossRef] [PubMed]
  14. Schroeter, J.C.; Maloy, A.P.; Rees, C.B.; Bartron, M.L. Fish Mitochondrial Genome Sequencing: Expanding Genetic Resources to Support Species Detection and Biodiversity Monitoring Using Environmental DNA. Conserv. Genet. Resour. 2020, 12, 433–446. [Google Scholar] [CrossRef]
  15. Wang, I.-C.; Lin, H.-D.; Liang, C.-M.; Huang, C.-C.; Wang, R.-D.; Yang, J.-Q.; Wang, W.-K. Complete Mitochondrial Genome of the Freshwater Fish Onychostoma lepturum (Teleostei, Cyprinidae): Genome Characterization and Phylogenetic Analysis. Zookeys 2020, 1005, 57–72. [Google Scholar] [CrossRef] [PubMed]
  16. Sharma, A.; Siva, C.; Ali, S.; Sahoo, P.K.; Nath, R.; Laskar, M.A.; Sarma, D. The Complete Mitochondrial Genome of the Medicinal Fish, Cyprinion semiplotum: Insight into Its Structural Features and Phylogenetic Implications. Int. J. Biol. Macromol. 2020, 164, 939–948. [Google Scholar] [CrossRef] [PubMed]
  17. Chen, W.; Qin, H.; Zhao, Z.; Liao, J.; Chen, H.; Jiang, L.; Dayananda, B. The Mitochondrial Genome and Phylogenetic Analysis of Rhacophorus rhodopus. Sci. Rep. 2022, 12, 13693. [Google Scholar] [CrossRef] [PubMed]
  18. Alvarenga, M.; D’Elia, A.K.P.; Rocha, G.; Arantes, C.A.; Henning, F.; de Vasconcelos, A.T.R.; Solé-Cava, A.M. Mitochondrial Genome Structure and Composition in 70 Fishes: A Key Resource for Fisheries Management in the South Atlantic. BMC Genom. 2024, 25, 215. [Google Scholar] [CrossRef] [PubMed]
  19. Muhala, V.; Guimarães-Costa, A.; Bessa-Silva, A.R.; Rabelo, L.P.; Carneiro, J.; Macate, I.E.; Watanabe, L.; Balcázar, O.D.; Gomes, G.E.; Vallinoto, M.; et al. Comparative Mitochondrial Genome Brings Insights to Slight Variation in Gene Proportion and Large Intergenic Spacer and Phylogenetic Relationship of Mudskipper Species. Sci. Rep. 2024, 14, 3358. [Google Scholar] [CrossRef] [PubMed]
  20. Huckstorf, V. Schistura fasciolata. IUCN Red List. Threat. Species 2012, 2012, e.T166080A1110341. [Google Scholar] [CrossRef]
  21. Arseneau, J.-R.; Steeves, R.; Laflamme, M. Modified Low-Salt CTAB Extraction of High-Quality DNA from Contaminant-Rich Tissues. Mol. Ecol. Resour. 2017, 17, 686–693. [Google Scholar] [CrossRef] [PubMed]
  22. 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]
  23. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [PubMed]
  24. Luo, R.; Liu, B.; Xie, Y.; Li, Z.; Huang, W.; Yuan, J.; He, G.; Chen, Y.; Pan, Q.; Liu, Y.; et al. SOAPdenovo2: An Empirically Improved Memory-Efficient Short-Read de Novo Assembler. Gigascience 2012, 1, 18. [Google Scholar] [CrossRef] [PubMed]
  25. Huang, X.; Madan, A. CAP3: A DNA Sequence Assembly Program. Genome Res. 1999, 9, 868–877. [Google Scholar] [CrossRef]
  26. Delcher, A. Improved Microbial Gene Identification with GLIMMER. Nucleic Acids Res. 1999, 27, 4636–4641. [Google Scholar] [CrossRef] [PubMed]
  27. Lowe, T.M.; Eddy, S.R. TRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Henomic Sequence. Nucleic Acids Res. 1997, 25, 955–964. [Google Scholar] [CrossRef] [PubMed]
  28. Lagesen, K.; Hallin, P.; Rødland, E.A.; Stærfeldt, H.-H.; Rognes, T.; Ussery, D.W. RNAmmer: Consistent and Rapid Annotation of Ribosomal RNA Genes. Nucleic Acids Res. 2007, 35, 3100–3108. [Google Scholar] [CrossRef] [PubMed]
  29. Griffiths-Jones, S. Rfam: Annotating Non-Coding RNAs in Complete Genomes. Nucleic Acids Res. 2004, 33, D121–D124. [Google Scholar] [CrossRef] [PubMed]
  30. Grant, J.R.; Enns, E.; Marinier, E.; Mandal, A.; Herman, E.K.; Chen, C.; Graham, M.; Van Domselaar, G.; Stothard, P. Proksee: In-Depth Characterization and Visualization of Bacterial Genomes. Nucleic Acids Res. 2023, 51, W484–W492. [Google Scholar] [CrossRef] [PubMed]
  31. Darling, A.C.E.; Mau, B.; Blattner, F.R.; Perna, N.T. Mauve: Multiple Alignment of Conserved Genomic Sequence with Rearrangements. Genome Res. 2004, 14, 1394–1403. [Google Scholar] [CrossRef] [PubMed]
  32. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef] [PubMed]
  33. Minhas, B.F.; Beck, E.A.; Cheng, C.-H.C.; Catchen, J. Novel Mitochondrial Genome Rearrangements Including Duplications and Extensive Heteroplasmy Could Underlie Temperature Adaptations in Antarctic Notothenioid Fishes. Sci. Rep. 2023, 13, 6939. [Google Scholar] [CrossRef] [PubMed]
  34. Shi, W.; Dong, X.-L.; Wang, Z.-M.; Miao, X.-G.; Wang, S.-Y.; Kong, X.-Y. Complete Mitogenome Sequences of Four Flatfishes (Pleuronectiformes) Reveal a Novel Gene Arrangement of L-Strand Coding Genes. BMC Evol. Biol. 2013, 13, 173. [Google Scholar] [CrossRef] [PubMed]
  35. Zhuang, X.; Cheng, C.-H.C. ND6 gene “lost” and found: Evolution of mitochondrial gene rearrangement in Antarctic Notothenioids. Mol. Biol. Evol. 2010, 27, 1391–1403. [Google Scholar] [CrossRef] [PubMed]
  36. Williams, E.P.; Peer, A.C.; Miller, T.J.; Secor, D.H.; Place, A.R. A phylogeny of the temperate seabasses (Moronidae) characterized by a translocation of the mt-nd6 gene. J. Fish Biol. 2012, 80, 110–130. [Google Scholar] [CrossRef] [PubMed]
  37. Bai, Y.; Attardi, G. The mtDNA-encoded ND6 subunit of mitochondrial NADH dehydrogenase is essential for the assembly of the membrane arm and the respiratory function of the enzyme. EMBO J. 1998, 17, 4848–4858. [Google Scholar] [CrossRef] [PubMed]
  38. Miya, M.; Nishida, M. The Mitogenomic Contributions to Molecular Phylogenetics and Evolution of Fishes: A 15-Year Retrospect. Ichthyol. Res. 2015, 62, 29–71. [Google Scholar] [CrossRef]
  39. Sember, A.; Bohlen, J.; Šlechtová, V.; Altmanová, M.; Symonová, R.; Ráb, P. Karyotype Differentiation in 19 Species of River Loach Fishes (Nemacheilidae, Teleostei): Extensive Variability Associated with RDNA and Heterochromatin Distribution and Its Phylogenetic and Ecological Interpretation. BMC Evol. Biol. 2015, 15, 251. [Google Scholar] [CrossRef] [PubMed]
  40. Tikochinski, Y.; Carreras, C.; Tikochinski, G.; Vilaça, S.T. Population-specific signatures of intra-individual mitochondrial DNA heteroplasmy and their potential evolutionary advantages. Sci. Rep. 2020, 10, 211. [Google Scholar] [CrossRef]
  41. Miyazaki, J.-I.; Dobashi, M.; Tamura, T.; Beppu, S.; Sakai, T.; Mihara, M.; Hosoya, K. Parallel evolution in eight-barbel loaches of the genus Lefua (Balitoridae, Cypriniformes) revealed by mitochondrial and nuclear DNA phylogenies. Mol. Phylogenet. Evol. 2011, 60, 416–427. [Google Scholar] [CrossRef] [PubMed]
  42. Mihara, M.; Sakai, T.; Nakao, K.; de Oliveira Martins, L.; Hosoya, K.; Miyazaki, J.-I. Phylogeography of loaches of the genus Lefua (Balitoridae, Cypriniformes) inferred from mitochondrial DNA sequences. Zool. Sci. 2005, 22, 157–168. [Google Scholar] [CrossRef] [PubMed]
  43. Wu, J.-J.; Li, G.-H.; Jin, F.-P.; Zhao, J.-X.; Lei, C.-Y.; Gao, H.-T.; Fu, S.-W.; Zhou, R.; Luo, Y.-X.; Xue, S.-W.; et al. Genetic diversity analysis of mitochondrial D-loop region of Anabarilius graham in Fuxian Lake. Acta Hydrobiol. Sin. 2022, 46, 385–394. [Google Scholar] [CrossRef]
  44. Padhi, A. Geographic variation within a tandemly repeated mitochondrial DNA D-loop region of a North American freshwater fish, Pylodictis olivaris. Gene 2014, 538, 63–68. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Mitochondrial genome of Schistura fasciolata. Circular genome diagram was drawn in Proksee [25]. Arrows indicate the direction of gene transcription. Protein-coding, ribosomal RNA, and transfer RNA genes are shown as blue, green, and purple arrows. Putative control region (D-loop) is shown as an orange arrow. The black sliding window shows the GC content as the deviation from the average GC content of the mitochondrial genome. GC skew shows the deviation from the average GC skew of the mitochondrial genome.
Figure 1. Mitochondrial genome of Schistura fasciolata. Circular genome diagram was drawn in Proksee [25]. Arrows indicate the direction of gene transcription. Protein-coding, ribosomal RNA, and transfer RNA genes are shown as blue, green, and purple arrows. Putative control region (D-loop) is shown as an orange arrow. The black sliding window shows the GC content as the deviation from the average GC content of the mitochondrial genome. GC skew shows the deviation from the average GC skew of the mitochondrial genome.
Diversity 16 00494 g001
Figure 2. Maximum-likelihood phylogenetic analyses of Schistura species based on mitochondrial genes. (A) 12S rRNA; (B) 16S rRNA; (C) ND1; (D) ND2; (E) COX1; (F) COX2; (G) ATP8; (H) ATP6; (I) COX3; (J) ND3; (K) ND4L; (L) ND4; (M) ND5; (N) ND6; (O) cyt b; (P) D-loop region. The evolutionary history was inferred using the maximum likelihood method. Except for the gray background, other backgrounds with different colors exhibit different Schistura species. The gray background exhibits the phylogenetic branch of Schistura fasciolata and other species.
Figure 2. Maximum-likelihood phylogenetic analyses of Schistura species based on mitochondrial genes. (A) 12S rRNA; (B) 16S rRNA; (C) ND1; (D) ND2; (E) COX1; (F) COX2; (G) ATP8; (H) ATP6; (I) COX3; (J) ND3; (K) ND4L; (L) ND4; (M) ND5; (N) ND6; (O) cyt b; (P) D-loop region. The evolutionary history was inferred using the maximum likelihood method. Except for the gray background, other backgrounds with different colors exhibit different Schistura species. The gray background exhibits the phylogenetic branch of Schistura fasciolata and other species.
Diversity 16 00494 g002
Figure 3. Maximum-likelihood phylogenetic analyses of Schistura species based on mitochondrial genome. (A) Genomes with D-loop region; (B) genome without D-loop region. The dotted box shows the species lacking D-loop region sequence in its mitochondrial genome. The evolutionary history was inferred using the maximum likelihood method. The backgrounds with different colors exhibit different Schistura species.
Figure 3. Maximum-likelihood phylogenetic analyses of Schistura species based on mitochondrial genome. (A) Genomes with D-loop region; (B) genome without D-loop region. The dotted box shows the species lacking D-loop region sequence in its mitochondrial genome. The evolutionary history was inferred using the maximum likelihood method. The backgrounds with different colors exhibit different Schistura species.
Diversity 16 00494 g003
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

Peng, X.; Xu, B.; Chen, C.; Xiao, T.; Su, J. Mitochondrial Genome Diversity of Schistura McClelland, 1838 (Teleostei, Nemacheilidae). Diversity 2024, 16, 494. https://doi.org/10.3390/d16080494

AMA Style

Peng X, Xu B, Chen C, Xiao T, Su J. Mitochondrial Genome Diversity of Schistura McClelland, 1838 (Teleostei, Nemacheilidae). Diversity. 2024; 16(8):494. https://doi.org/10.3390/d16080494

Chicago/Turabian Style

Peng, Xiaohuang, Baohong Xu, Changjun Chen, Tiaoyi Xiao, and Jianming Su. 2024. "Mitochondrial Genome Diversity of Schistura McClelland, 1838 (Teleostei, Nemacheilidae)" Diversity 16, no. 8: 494. https://doi.org/10.3390/d16080494

APA Style

Peng, X., Xu, B., Chen, C., Xiao, T., & Su, J. (2024). Mitochondrial Genome Diversity of Schistura McClelland, 1838 (Teleostei, Nemacheilidae). Diversity, 16(8), 494. https://doi.org/10.3390/d16080494

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