Research Article
Print
Research Article
Complete mitochondrial genome of Guigarra cailaoensis Wang, Chen & Zheng, 2022 (Cypriniformes, Cyprinidae) and its phylogenetic implications
expand article infoLan-Ping Zheng, Ying-Min Geng
‡ Yunnan University of Chinese Medicine, Kunming, China
Open Access

Abstract

Guigarra cailaoensis is a member of family Cyprinidae, subfamily Labeoninae (Cypriniformes) which was recently discovered in southwestern China. Following its initial description, additional information on this species has remained notably scarce. In the current study, we assemble the complete mitochondrial genome (mitogenome) of G. cailaoensis using the Illumina sequencing platform. The mitogenome is identified as a circular, double-stranded DNA sequence of 16,593 base pairs, encompassing 13 protein-coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and a putative control region. Maximum-likelihood and Bayesian-inference approaches were used to construct phylogenetic trees for three datasets: (i) PCG sequences of the complete mitogenome (dataset 1); (ii) PCG sequences of the complete mitogenome combined with nuclear DNA (ncDNA) (Rag1) sequence (dataset 2); and (iii) ncDNA (Rag1) sequences (dataset 3). Phylogenetic analyses position G. cailaoensis as a sister taxon to the lineage consisting of Paraqianlabeo lineatus Zhao, Sullivan, Zhang & Peng, 2014 and Pseudogyrinocheilus prochilus Fang, 1933 in dataset 1, and to Pseudogyrinocheilus prochilus in dataset 2, species lacking an oral disc on the lower lip. However, G. cailaoensis showed a close relationship to the lineage consisting of Discogobio and Discocheilus in dataset 3, species possessing an oral disc on the lower lip. Nonetheless, a variety of species with an oral disc on the lower lip are clustered into different lineages across the three datasets that may indicate that the development of the oral disc is homoplastic within the subfamily Labeoninae. The outcomes of this study have the potential to support conservation efforts for this species and to enrich our understanding of genetic resources in the area.

Key words

Illumina, Labeoninae, phylogeny, southwestern China

Introduction

Guigarra cailaoensis Wang, Chen & Zheng, 2022, a recently described genus and species in the subfamily Labeoninae of the family Cyprinidae (Cypriniformes), is a small fish adapted to torrent-water environments. To date, it has only been recorded in a small tributary of the Hongshuihe River in Guangxi Province, China. There it inhabits small streams in the upper reaches of the tributary, while being notably absent from the lower reaches (Wang et al. 2022). These environments are very fragile, rendering G. cailaoensis a potential indicator of local ecological conditions.

The subfamily Labeoninae, recognized by its unique oral morphology (Zhang et al. 2000), comprises more than 40 genera and 500 species. Within this subfamily, eight genera and nearly 200 species are characterized by a structurally varied oral disc on the lower lip (Wang et al. 2022). Guigarra Wang, Chen & Zheng, 2022, which also exhibits this feature, is a recently discovered genus found in the karst region in southwestern China, following the discovery of Lanlabeo Yao, He & Peng, 2018 in the same area.

Previous research on the subfamily Labeoninae has predominantly focused on taxonomy, particularly the description of new genera and species, as well as molecular phylogenetics. In recent years, various new Labeoninae genera and species from the karst region of southwestern China have been described, including Sinigarra Zhang & Zhou, 2012, Paraqianlabeo Zhao, Sullivan, Zhang & Peng, 2014, Prolixicheilus Zheng, Chen & Yang, 2016, Zuojiangia Zheng, He, Yang & Wu, 2018, Lanlabeo Yao, He & Peng, 2018, and Guigarra Wang, Chen & Zheng, 2022 (Zhang and Zhou 2012; Zhao et al. 2014; Zheng et al. 2016, 2018; Yao et al. 2018; Wang et al. 2022), highlighting the rich species diversity in this subfamily. Furthermore, molecular phylogenetic studies have elucidated the phylogenetic relationships within the subfamily and validated the classification of genera (Yang and Mayden 2010; Zheng et al. 2010, 2012; Yang et al. 2012). Yang et al. (2012) identified four primary clades within the subfamily Labeoninae, with Zheng et al. (2016) defining the karst group as part of the fourth clade. Wang et al. (2022) further established that G. cailaoensis belongs to this karst group.

Mitochondrial genomes (mitogenomes) are characterized by a simple molecular structure, strict maternal inheritance, minimal recombination, and a rapid evolutionary rate, making them valuable markers in studies of molecular population genetics and phylogenetics (Xiao and Zhang 2000). As mitogenomic research has advanced, the mitogenomes of fewer than 100 species of Labeoninae have been sequenced and deposited in GenBank. In this study, we successfully sequenced the complete mitogenome of G. cailaoensis. Our findings could contribute to the conservation of this species and further enrich genetic resources.

Materials and methods

Sample collection, DNA extraction, and quality testing

The sample used in this study was collected from the Cailaohe River, Fengshan, Guangxi, China (24.61°N, 106.97°E). Total genomic DNA was extracted from fin-tissue samples using a DNA isolation kit (Qiagen) with a final elution volume of 50 µl. The quality and purity of the isolated DNA were assessed prior to downstream applications. Agarose gel electrophoresis was used to analyze DNA integrity and assess the presence of contaminants. DNA purity was evaluated using a NanoDrop One spectrophotometer (Thermo Fisher Scientific, USA). Final DNA concentrations were accurately determined using a Qubit 3.0 Fluorometer (Thermo Fisher Scientific, USA).

Library construction, mitogenome assembly, and annotation

The collected DNA sample was used for paired-end (PE) library construction using standard protocols of the NEBNext Ultra II DNA Library Prep Kit for Illumina (NEB, USA) in accordance with the manufacturer’s instructions. It was sequenced using the Illumina NovaSeq 6000 platform (Illumina, USA) with a 350-bp insert size. Adaptor and low-quality reads were filtered using fastp (Chen 2023), resulting in a total of 69.21 Mb of clean reads (150 bp). The mitogenome was de novo assembled using MitoZ (Meng et al. 2019). The assembled mitogenome was annotated using the online tool MITOS using the default parameters (Bernt et al. 2013). The protein-coding sequences were checked and confirmed using Geneious R10 (Kearse et al. 2012). Start/stop codons, codon usages, relative synonymous codon usage (RSCU), and nucleotide composition were analyzed using MEGA v. 7 (Kumar et al. 2016) and PhyloSuite (Xiang et al. 2023). Skew compositions were calculated using: AT-skew = (A − T) / (A + T) and GC-skew = (G − C) / (G + C) (Perna and Kocher 1995). TRNAscan-SE v. 2.0 (Lowe and Chan 2016) was used to predict the secondary structures and anticodons of transfer RNAs (tRNAs). The online mitochondrial visualization tool OGDRAW (Greiner et al. 2019) was used to draw a graphical map of the complete mitogenome. The newly generated complete mitogenome sequence and its annotation were submitted to GenBank using BankIt (accession number OR492308).

Phylogenetic analysis

To determine the phylogenetic position of G. cailaoensis, 92 complete mitogenomes and 68 Rag1 sequences of Labeoninae were downloaded from GenBank, and one species of Torinae, two species of Xenocypridinae, and three species of Opsariichthyinae were used as the outgroups (Mayden et al. 2009). Three datasets were constructed for analyses: (i) protein-coding gene (PCG) sequences of the complete mitogenome (dataset 1); (ii) PCG sequences of the complete mitogenome combined with nuclear DNA (ncDNA) (Rag1) sequences (dataset 2); and (iii) ncDNA (Rag1) sequences (dataset 3). All sequences were first aligned using MAFFT v. 7.475 (Katoh and Standley 2013), then trimmed using trimAl (Salvador et al. 2009). Maximum-likelihood (ML) and Bayesian-inference (BI) approaches were used to construct phylogenetic trees based on the three datasets. The ML analysis was performed using IQ-TREE v. 2.1.4 (Minh et al. 2020) based on the best-substitution model selected by ModelFinder in the IQ-TREE package (Kalyaanamoorthy et al. 2017). Nodal support was assessed based on 1,000 bootstrap replicates (Felsenstein 1985). The BI analysis was performed using MrBayes v. 3.2.7 (Ronquist et al. 2012), with the best-fit nucleotide substitution model also determined using ModelFinder. Four chains (three hot, one cold) were run for 5 million generations, with tree sampling every 1,000 generations and the first 25% of samples discarded as burn-in. Convergence was confirmed by ascertaining that the average standard deviation of split frequencies was below 0.01. The phylogenetic trees were viewed and edited using FigTree v. 1.4.4 (Rambaut 2014).

Results

Mitogenome composition and organization

The mitogenome of Guigarra cailaoensis was identified as a circular double-stranded DNA sequence of 16,593 base pairs (bp) in length and included 13 protein-coding genes, 22 tRNA genes, two ribosomal RNA (rRNA) genes, and a putative control region (Table 1, Fig. 1). The base composition of G. cailaoensis was A = 32.2%, G = 15.5%, T = 26.4%, and C = 26.0%, with higher AT content (58.6%) than GC content (41.4%) (Table 2).

Table 1.

Summary of genetic components of Guigarra cailaoensis mitogenome.

Gene Type Initial bp Final bp Length Direction Strand Start codon Stop codon Anticodon
trnF tRNA 1 69 69 forward H GAA
12S rRNA rRNA 70 1021 952 forward H
trnV tRNA 1024 1095 72 forward H TAC
16S rRNA rRNA 1115 2755 1641 forward H
trnL1 tRNA 2781 2856 76 forward H TAA
ND1 CDS 2858 3832 975 forward H ATG TAA
trnI tRNA 3837 3908 72 forward H GAT
trnQ tRNA 3907 3977 71 reverse L
trnM tRNA 3979 4047 69 forward H CAT
ND2 CDS 4048 5094 1047 forward H ATG TAG
trnW tRNA 5093 5163 71 forward H TCA
trnA tRNA 5166 5234 69 reverse L TGC
trnN tRNA 5236 5308 73 reverse L GTT
OL rep_origin 5311 5342
trnC tRNA 5342 5407 66 reverse L GCA
trnY tRNA 5409 5479 71 reverse L GTA
COX1 CDS 5481 7031 1551 forward H GTG TAA
trnS1 tRNA 7032 7102 71 reverse L GCT
trnD tRNA 7106 7177 72 forward H GTC
COX2 CDS 7191 7881 691 forward H ATG T--
trnK tRNA 7882 7957 76 forward H TTT
ATP8 CDS 7959 8123 165 forward H ATG TAG
ATP6 CDS 8117 8800 684 forward H ATG TAA
COX3 CDS 8800 9585 786 forward H ATG TAA
trnG tRNA 9585 9656 72 forward H TCC
ND3 CDS 9657 10007 351 forward H ATG TAG
trnR tRNA 10006 10075 70 forward H TCG
ND4L CDS 10076 10372 297 forward H ATG TAA
ND4 CDS 10366 11746 1381 forward H ATG T--
trnH tRNA 11747 11815 69 forward H GTG
trnS2 tRNA 11816 11884 69 forward H TGA
trnL2 tRNA 11886 11958 73 forward H TAA
ND5 CDS 11962 13785 1824 forward H ATG TAA
ND6 CDS 13782 14303 522 reverse L ATG TAA
trnE tRNA 14304 14372 69 reverse L TTC
CYTB CDS 14377 15517 1141 forward H ATG T--
trnT tRNA 15518 15589 72 forward H TGT
trnP tRNA 15589 15658 70 reverse L TGG
D-loop D-loop 15676 16593 918 forward H
Figure 1. 

Circular map of complete mitogenome of Guigarra cailaoensis.

PCGs and codon usage

The PCGs had a total length of 11,412 bp, accounting for 68.78% of the total length of the complete mitogenome. The ND5 coding DNA sequence (CDS) had the highest number of base pairs (1 824 bp), while ATPase8 had the lowest (165 bp). The base percentage composition revealed a lower G + C content (41.1%) compared to the A + T content (58.9%). All PCGs were encoded on the heavy (H) strand, except for the ND6 gene, which was encoded on the light (L) strand. All PCGs were initiated with the methionine codon ATG, except for COX1, which was initiated with GTG, consistent with previous labeonine mitochondrial DNAs (Wang et al. 2019). Two types of stop codon were identified: TAA (ATP6, COX1, COX3, ND1, ND4L, ND5, and ND6) and TAG (ATP8, ND2, and ND3). Incomplete stop codons were detected for COX2, CYTB, and ND4 (Table 1).

The RSCU results indicated that six codons, CUA (2.35%), CGA (2.35%), CCA (2.33%), GGA (2.20%), UCA (2.19%), and GUA (2.16%), were the most frequently used. Additionally, the amino acids Pro, Thr, Leu1, Arg, Ala, Ser2, Val, and Gly were encoded by four codons, while all the other amino acids were encoded by two codons (Fig. 2).

Figure 2. 

Relative synonymous codon usage (RSCU) in mitogenomes of Guigarra cailaoensis.

Ribosomal and transfer RNA genes

The 12S rRNA and 16S rRNA were 952 and 1,641 bp in length, respectively. They were located between trnF and trnL1, separated by trnV. The nucleotide composition of the rRNAs was A = 35.4%, C = 23.8%, G = 20.6%, and T = 20.2%. Thus, G. cailaoensis displayed a higher percentage of AT (55.6%) than GC (44.4%) (Table 2).

Table 2.

Base composition and skewness of the mitogenome of Guigarra cailaoensis.

Regions Size (bp) T(U) C A G AT (%) GC (%) AT skewness GC skewness
ATP6 684 30.7 25.3 31.3 12.7 62.0 38.0 0.009 −0.331
ATP8 165 27.3 26.1 35.2 11.5 62.5 37.6 0.126 −0.387
COX1 1551 30.0 25.4 27.6 17.0 57.6 42.4 −0.043 −0.199
COX2 691 26.9 25.9 30.7 16.5 57.6 42.4 0.065 −0.222
COX3 786 27.2 28.0 29.0 15.8 56.2 43.8 0.032 −0.279
CYTB 1141 28.9 26.7 30.9 13.5 59.8 40.2 0.032 −0.329
ND1 975 27.9 26.9 31.4 13.8 59.3 40.7 0.059 −0.320
ND2 1047 24.4 30.2 33.2 12.2 57.6 42.4 0.154 −0.423
ND3 351 30.2 27.9 27.6 14.2 57.8 42.1 −0.044 −0.324
ND4 1381 27.9 26.4 32.4 13.3 60.3 39.7 0.075 −0.330
ND4L 297 29.3 27.9 27.3 15.5 56.6 43.4 −0.036 −0.287
ND5 1824 27.0 27.7 33.1 12.1 60.1 39.8 0.101 −0.392
ND6 522 42.7 11.7 15.3 30.3 58.0 42.0 −0.472 0.443
PCGs 11412 28.6 26.3 30.3 14.7 58.9 41.1 0.028 −0.282
rRNAs 2593 20.2 23.8 35.4 20.6 55.6 44.4 0.274 −0.073
tRNAs 1562 27.2 20.7 29.0 23.1 56.2 43.8 0.032 0.056
CR 918 34.0 18.7 33.9 13.4 67.9 32.1 −0.002 −0.166
Full 16593 26.4 26.0 32.2 15.5 58.6 41.5 0.100 −0.254

Twenty-two tRNA genes were identified in G. cailaoensis mitogenome, including two for trnL and trnS, and one for each of the other amino acids (Table 1). Of these, 21 tRNA genes exhibited the typical cloverleaf secondary structure with four domains, while the trnS1 gene lacked the D domain (D-stem and D-loop) (Fig. 3).

Figure 3. 

Secondary structures of 22 tRNA genes in Guigarra cailaoensis.

Fourteen tRNAs were encoded on the H-strand, while the remaining tRNAs were encoded on the L-strand (trnQ, trnA, trnN, trnC, trnY, trnS1, trnE, and trnP; Table 1). The length of these tRNAs varied, ranging from 66 bp (trnC) to 76 bp (trnL1 and trnK), with a total length of 1,562 bp and accounting for 9.41% of the total mitogenome. Nucleotide composition of the tRNAs was A = 29.0%, C = 20.7%, G = 23.1%, and T = 27.2%, showing a higher AT content (56.2%) than GC content (43.8%) (Table 2).

Non-coding region

The non-coding control region in the mitogenome, identified as the D-loop, was located between the trnP and trnF genes (Fig. 1). Spanning 918 bp in length, the region accounted for 5.53% of the whole mitogenome. The region exhibited a higher AT content (67.9%) than GC content (32.1%), with a nucleotide composition of A = 33.9%, T = 34.0%, C = 18.7%, and G = 13.4% (Table 2).

Phylogenetic analysis

The best-fit models for ML and BI analyses were identified, as shown in Table 3. Phylogenetic trees derived from dataset 1 and 2 were remarkably similar, while those from dataset 3 showed slight variations. Within each dataset, the trees generated from ML and BI analyses were consistent across all taxa, differing only slightly in their support values. Consequently, the ML trees were presented here together with the nodal support values generated by ML and BI analyses, respectively. Notably, all taxa within Labeoninae were recovered as a monophyletic clade, further subdivided into four major lineages. In dataset 1, G. cailaoensis formed a sister taxon to the lineage consisting of Paraqianlabeo lineatus and Pseudogyrinocheilus prochilus, and in dataset 2 formed a sister taxon to Pseudogyrinocheilus prochilus. However, in dataset 3, G. cailaoensis formed a sister taxon to the lineage consisting of Discogobio and Discocheilus (Figs 46).

Table 3.

The best-fit models selected by ModelFinder for three datasets.

ML BI
Dataset 1 (Mitogenome) TIM2 + F + R6 GTR + F + I + G4
Dataset 2 (Mitogenome+Rag1) GTR + F + R6 GTR + F + I + G4
Dataset 3 (Rag1) TIM2e + I + G4 SYM + I + G4
Figure 4. 

Phylogenetic tree of Guigarra cailaoensis and 98 species downloaded from GenBank based on PCG sequences of complete mitogenomes (dataset 1). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.

Figure 5. 

Phylogenetic tree of Guigarra cailaoensis and 72 species downloaded from GenBank based on PCG sequences of complete mitogenome combined with ncDNA (Rag1) sequences (dataset 2). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.

Figure 6. 

Phylogenetic tree of Guigarra cailaoensis and 72 species downloaded from GenBank based on ncDNA (Rag1) sequences (dataset 3). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.

Discussion

The mitochondrial gene structure in Guigarra cailaoensis is congruent with that of other vertebrate animals, consisting of double-stranded circular DNA spanning approximately 15–20 kb (Miya et al. 2001). Furthermore, its base composition is also consistent with results observed in other Labeoninae fish species (Zheng and Yang 2017; Zhang et al. 2023), and the features of its tRNA genes are consistent with those observed in metazoan mitochondrial DNA (Watanabe et al. 2014).

Our phylogenetic analyses of the subfamily Labeoninae across three datasets identified four lineages, which is consistent with the results of Yang et al. (2012). When considering the species common to all three datasets, the phylogenetic trees derived from datasets 1 and 2 were nearly identical, while those derived from dataset 3 differed slightly. The main divergence was observed in the placement of the Decorus decorus and Decorus rendahli lineage, located in Clade IV in datasets 1 and 2 but in Clade II in dataset 3. Guigarra cailaoensis was positioned in Clade IV, corresponding to the fourth clade described by Yang et al. (2012) and within the karst group defined by Zheng et al. (2016). Currently, approximately eight genera within Labeoninae are characterized by the presence of an oral disc on the lower lip, including Ageneiogarra, Ceratogarra, Discocheilus, Discogobio, Garra, Guigarra, Sinigarra, and Placocheilus (Wang et al. 2022). Our results revealed that the genera with oral discs are distributed across different lineages in the three datasets. Although G. cailaoensis possesses an oral disc on its lower lip, it was not closely related to other oral disc-bearing species based on datasets 1 and 2. In dataset 1, it is closely related to Paraqianlabeo lineatus and Pseudogyrinocheilus prochilus, and in dataset 2, it is closely related to Pseudogyrinocheilus prochilus, neither of which possess an oral disc on the lower lip. The results derived from dataset 1 and 2 are essentially consistent, because only the complete mitogenome sequences of Pseudogyrinocheilus prochilus are available in dataset 1 and 2, and Paraqianlabeo lineatus was not included in dataset 2. However, in dataset 3, G. cailaoensis is closely related to the lineage consisting of Discogobio and Discocheilus, both of which possess an oral disc on the lower lip. The phylogenetic position of G. cailaoensis and its closely related taxa derived from dataset 3 are consistent with the results of Wang et al. (2022), who reported a close affinity between G. cailaoensis, Discogobio, and Discocheilus based on one nuclear and two mitochondrial genes. We hypothesize that the observed inconsistencies among the results of different datasets likely stem from differences in the phylogenetic signal contribution between mitogenome and nuclear gene loci, as discussed by Zheng et al. (2010). Nonetheless, a variety of species with an oral disc on the lower lip were clustered into different lineages in the results from three datasets that may indicate that the development of the oral disc is homoplastic within the subfamily Labeoninae. In conclusion, the successful assembly of the complete mitogenome of G. cailaoensis not only enhances our understanding of its genetic background but may also prove valuable for conservation and resource restoration strategies in the area.

Additional information

Conflict of interest

The authors have declared that no competing interests exist.

Ethical statement

This study does not require ethical approval because no procedures were performed on live animals, and the tissue samples used were collected from the dead specimens.

Funding

This work was supported by the National Natural Science Foundation of China (31960103) and Yunnan Provincial Basic Research Special Project (202301AT070254).

Author contributions

Conceptualization: LPZ. Data curation: LPZ. Funding acquisition: LPZ. Methodology: LPZ, YMG. Project administration: LPZ. Software: LPZ, YMG. Supervision: LPZ. Visualization: LPZ. Writing – original draft: LPZ. Writing – review and editing: LPZ, YMG.

Author ORCID

Lan-Ping Zheng  https://orcid.org/0000-0002-9855-6503

Data availability

All of the data that support the findings of this study are available in the main text. The genome sequence data are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/) under the accession no. OR492308.

References

  • Bernt M, Donath A, Jühling F, Externbrink F, Florentz C, Fritzsch G, Pütz J, Middendorf M, Stadler P (2013) MITOS: Improved de novo metazoan mitochondrial genome annotation. Molecular Phylogenetics and Evolution 69(2): 313–319. https://doi.org/10.1016/j.ympev.2012.08.023
  • Chen S (2023) Ultrafast one‐pass FASTQ data preprocessing, quality control, and deduplication using fastp. iMeta 2(2): e107. https://doi.org/10.1002/imt2.107
  • Felsenstein J (1985) Confidence limits on phylogenies: An approach using the bootstrap. Evolution; International Journal of Organic Evolution 39(4): 783–791. https://doi.org/10.2307/2408678
  • Greiner S, Lehwark P, Bock R (2019) OrganellarGenomeDRAW (OGDRAW) version 1.3.1: Expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Research 47(W1): W59–W64. https://doi.org/10.1093/nar/gkz238
  • Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS (2017) ModelFinder: Fast model selection for accurate phylogenetic estimates. Nature Methods 14(6): 587–589. https://doi.org/10.1038/nmeth.4285
  • Katoh K, Standley DM (2013) MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Molecular Biology and Evolution 30(4): 772–780. https://doi.org/10.1093/molbev/mst010
  • Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A (2012) Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics (Oxford, England) 28(12): 1647–1649. https://doi.org/10.1093/bioinformatics/bts199
  • Kumar S, Stecher G, Tamura K (2016) MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Molecular Biology and Evolution 33(7): 1870–1874. https://doi.org/10.1093/molbev/msw054
  • Lowe TM, Chan PP (2016) tRNAscan-SE On-line: Search and contextual analysis of transfer RNA genes. Nucleic Acids Research 44(W1): W54–W57. https://doi.org/10.1093/nar/gkw413
  • Mayden RL, Chen WJ, Bart HL, Doosey MH, Simons AM, Tang KL, Wood RM, Agnew MK, Yang L, Hirt MV, Clements MD, Saitoh K, Sado T, Miya M, Nishida M (2009) Reconstructing the phylogenetic relationships of the earth’s most diverse clade of freshwater fishes – Order Cypriniformes (Actinopterygii: Ostariophysi): a case study using multiple nuclear loci and the mitochondrial genome. Molecular Phylogenetics and Evolution 51(3): 500–514. https://doi.org/10.1016/j.ympev.2008.12.015
  • Meng G, Li Y, Yang C, Liu S (2019) MitoZ: A toolkit for animal mitochondrial genome assembly, annotation and visualization. Nucleic Acids Research 47(11): e63. https://doi.org/10.1093/nar/gkz173
  • Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, Lanfear R (2020) IQ-TREE 2: New models and efficient methods for phylogenetic inference in the genomic era. Molecular Biology and Evolution 37(5): 1530–1534. https://doi.org/10.1093/molbev/msaa015
  • Miya M, Kawaguchi A, Nishida M (2001) Mitogenomic exploration of higher teleostean phylogenies: A case study for moderate-scale evolutionary genomics with 38 newly determined complete mitochondrial DNA sequences. Molecular Biology and Evolution 18(11): 1993–2009. https://doi.org/10.1093/oxfordjournals.molbev.a003741
  • Perna NT, Kocher TD (1995) Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. Journal of Molecular Evolution 41(3): 353–358. https://doi.org/10.1007/BF01215182
  • Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP (2012) MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology 61(3): 539–542. https://doi.org/10.1093/sysbio/sys029
  • Salvador CG, Silla-Martinez JM, Gabaldon T (2009) trimAl: A tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics (Oxford, England) 25(15): 1972–1973. https://doi.org/10.1093/bioinformatics/btp348
  • Wang W, Li S, Liu T, Wang X, Zeng S, Min W, Zhou L (2019) Characterization of the complete mitochondrial genome of an endangered fish Semilabeo obscurus (Cyprinidae; Labeoninae; Semilabeo). Conservation Genetics Resources 11(2): 147–150. https://doi.org/10.1007/s12686-018-0984-5
  • Watanabe YI, Suematsu T, Ohtsuki T (2014) Losing the stem-loop structure from metazoan mitochondrial tRNAs and co-evolution of interacting factors. Frontiers in Genetics 5: 109. https://doi.org/10.3389/fgene.2014.00109
  • Xiang CY, Gao FL, Jakovlić I, Lei HP, Hu Y, Zhang H, Zou H, Wang GT, Zhang D (2023) Using PhyloSuite for molecular phylogeny and tree‐based analyses. iMeta 2(1): e87. https://doi.org/10.1002/imt2.87
  • Xiao WH, Zhang YP (2000) Genetics and evolution of mitochondrial and in fish. Acta Hydrobiology Sinica 24: 384–391.
  • Yang L, Mayden RL (2010) Phylogenetic relationships, subdivision, and biogeography of the Cyprinid tribe Labeonini (sensu Rainboth, 1991) (Teleostei: Cypriniformes), with comments on the implications of lips and associated structures in the labeonin classification. Molecular Phylogenetics and Evolution 54(1): 254–265. https://doi.org/10.1016/j.ympev.2009.09.027
  • Yang L, Arunachalam M, Sado T, Levin BA, Golubtsov AS, Freyhof J, Friel JP, Chen W-J, Hirt MV, Manickam R, Agnew MK, Simons AM, Saitoh K, Miya M, Mayden RL, He S (2012) Molecular phylogeny of the cyprinid tribe Labeonini (Teleostei: Cypriniformes). Molecular Phylogenetics and Evolution 65(2): 362–379. https://doi.org/10.1016/j.ympev.2012.06.007
  • Yao M, He Y, Peng ZG (2018) Lanlabeo duanensis, a new genus and species of Labeonin fish (Teleostei: Cyprinidae) from southern China. Zootaxa 4471(3): 556–568. https://doi.org/10.11646/zootaxa.4471.3.7
  • Zhang E, Zhou W (2012) Sinigarra napoense, a new genus and species of labeonin fishes (Teleostei: Cyprinidae) from Guangxi Province, South China. Zootaxa 3586(1): 17–25. https://doi.org/10.11646/zootaxa.3586.1.4
  • Zhang E, Yue PQ, Chen JX (2000) Labeoninae. Fauna Sinica (Osteichthyes: Cypriniformes III). Beijing, Science Press, 172–272.
  • Zhang M, Zhou Q, Xiang H, Wang J, Lan X, Luo Q, Jiang W (2023) Complete mitochondrial genome of Rectoris luxiensis (Teleostei, Cyprinidae): Characterization and phylogenetic implications. Biodiversity Data Journal 11: e96066. https://doi.org/10.3897/BDJ.11.e96066
  • Zhao HT, Sullivan JP, Zhang YG, Peng ZG (2014) Paraqianlabeo lineatus, a new genus and species of labeonine fishes (Teleostei: Cyprinidae) from South China. Zootaxa 3841(2): 257–270. https://doi.org/10.11646/zootaxa.3841.2.5
  • Zheng LP, Yang JX (2017) Characterization of the complete mitochondrial genome of Discogobio longibarbatus (Cypriniformes, Cyprinidae), an endangered and endemic species from China. Conservation Genetics Resources 9(3): 447–449. https://doi.org/10.1007/s12686-017-0709-1
  • Zheng LP, Yang JX, Chen XY, Wang WY (2010) Phylogenetic relationships of the Chinese Labeoninae (Teleostei, Cypriniformes) derived from two nuclear and three mitochondrial genes. Zoologica Scripta 39(6): 559–571. https://doi.org/10.1111/j.1463-6409.2010.00441.x
  • Zheng LP, Yang JX, Chen XY (2012) Phylogeny of the Labeoninae (Teleostei, Cypriniformes) based on nuclear DNA sequences and implications on character evolution and biogeography. Current Zoology 58(6): 837–850. https://doi.org/10.1093/czoolo/58.6.837
  • Zheng LP, Chen XY, Yang JX (2016) Molecular systematics of the Labeonini inhabiting the karst regions in southwest China (Teleostei, Cypriniformes). ZooKeys 612: 133–148. https://doi.org/10.3897/zookeys.612.9085
login to comment