Literature DB >> 32607206

The mitogenome of freshwater loach Homatula laxiclathra (Teleostei: Nemacheilidae) with phylogenetic analysis of Nemacheilidae.

Mengfei Cao1, Ling Tang1, Juan Chen1, Xiaoyu Zhang1, Russell H Easy2, Ping You1.   

Abstract

The complete mitogenome can provide valuable genetic information to reconstruct relationships between species. In this study, we sequenced a stone loach, Homatula laxiclathra (Teleostei: Nemacheilidae), which is found in the northern region of the Qinling Mountains in China. The size of the H. laxiclathra mitogenome is 16,570 bp, which contains 37 typical mitochondrial genes including 13 protein-coding genes, 22 transfer RNAs, two ribosomal RNAs, and a control region (D-loop) with a total AT content of 55.8%. This is similar to other Nemacheilidae sequences published in GenBank. Furthermore, a mito-phylogenomic analysis of 46 Nemacheilidae species places H. laxiclathra in a robust monophyletic Homatula cluster with other Homatula species. Our results contribute toward a better understanding of a true phylogeny of these species based on large-scale taxonomic samplings as well as to help grasp the evolution of fish mitogenomes.
© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Homatula laxiclathra; Nemacheilidae; mitogenome; phylogenetic analysis

Year:  2020        PMID: 32607206      PMCID: PMC7319148          DOI: 10.1002/ece3.6338

Source DB:  PubMed          Journal:  Ecol Evol        ISSN: 2045-7758            Impact factor:   2.912


INTRODUCTION

Mitochondrial DNA can provide valuable taxon information to reconstruct evolutionary relationships between species. The fish mitogenome is circular, 15–19 k bp in size, and comprises 13 protein‐coding genes (PCGs), two ribosomal RNA genes (12S rRNA and 16S rRNA), 22 transfer RNA genes (tRANs) and two noncoding control regions (OL and CR) (Miya, Kawaguchi, & Nishida, 2001). Mitogenomes are widely used for molecular systematics, phylogeography and taxa identification due to their small and simple structure, rapid evolution, maternal inheritance, and high gene conservation (Boore, 1999). In addition, molecular data for mtDNA, such as secondary structure of tRNAs and rRNAs, amino acid sequence, and codon usage can provide additional data for phylogenetic analyses (Boore, 1999; Zhu, Yan, Song, & You, 2018). Loaches are small‐bodied freshwater fishes, which are widely distributed across Eurasia, Africa, and North America. They are popular in China due to their distinctive flavor and diverse body color. From a commercial fisheries and ornamental trade value, it is crucial to identify mtDNA mutations to avoid genetic diseases in these fish (Kipp et al., 2010). Partial mtDNA genes from the Nemacheilidae have been used for species identification and systematics (Liu et al., 2012). Unfortunately, partial mitochondrial genes do not contain complete phylogenetic information to accurately define a phylogeny (Cunha, Grande, & Zardoya, 2009; Lee, Conroy, Howel, & Kocher, 1995; Parhi, Tripathy, Priyadarshi, Mandal, & Pandey, 2019). An effective solution is to conduct comparisons of whole mtDNA from representative species of each genus (Betancur et al., 2017; Shi, Xing, Chen, Yang, & You, 2014). So far, 207 complete mitogenomes of teleostean species have been published in the GenBank database, but only 56 species from Nemacheilidae are available. In this study, we sequenced the complete mitogenome of Homatula laxiclathra Gu & Zhang, 2012, which is only distributed in the northern region in Qinling Mountains. The genome structure and gene characterization of H. laxiclathra are compared with those reported for other Homatula species. To assess the deeper phylogenetic relationships of Nemacheilidaes, we reconstructed the tree using Maximum Likelihood (ML) and Bayesian inference (BI) methods. The investigation of the H. laxiclathra mitogenome may provide valuable evidence about teleost evolution as well as aid in species identification.

MATERIALS AND METHODS

Sample collection and DNA extraction

Adult specimens of Homatula laxiclathra Gu & Zhang, 2012 were collected from Xinguansi (33.98°N, 109.11°E), Chang'an County, the Dayu River located on the north slope of the Qinling Mountains of Shaanxi Province, Central China (Figure 1). Specimens were preserved in 95% ethanol. Animal processing was approved by the Animal Care and Use Committee of Shaanxi Normal University. Total genomic DNA was extracted from muscle tissues using a TIANamp Animal DNA Kit (Tiangen Biotech), according to the manufacturer's protocol. Voucher specimens deposited in the Fish Disease Laboratory, Shaanxi Normal University (Accession number: HL20160124).
FIGURE 1

Map of sampling localities of Homatula laxiclathra. The map was downloaded from the Wikimedia Commons with slight modification (https://commons.wikimedia.org/wiki/File:East_Asia_topographic_map.png)

Map of sampling localities of Homatula laxiclathra. The map was downloaded from the Wikimedia Commons with slight modification (https://commons.wikimedia.org/wiki/File:East_Asia_topographic_map.png)

PCR amplification and sequencing

Using a primer‐walking strategy, thirty conserved fish primers were designed to amplify the mitogenome (Miya & Nishida, 1999). PCR amplifications were performed with FastPfu Fly DNA polymerase (TransGen Biotech), following published PCR reaction conditions (Zhu et al., 2018).

Genome annotation and sequence analysis

Raw sequences were assembled using the Staden Package v1.7.0 (Staden, Beal, & Bonfield, 2000). Gene predictions were compared with published mitogenomes of Homatula fishes. PCGs and rRNAs were identified through DOGMA using default settings (Wyman, Jansen, & Boore, 2004). All tRNA genes and their secondary structures were verified with tRNA‐scan SE (Lowe & Eddy, 1997). The secondary structure of tRNA genes and OL was drawn by RNAstructure 6.1 and modified by SturctureEditor (Mathews, 2014). MEGA 7 was used to calculate the relative synonymous codon usage (RSCU) and base composition of each gene (Kumar, Stecher, & Tamura, 2016). Nucleotide composition skew values of 13 PCGs were counted by the formulas: (AT‐skew = [A − T]/[A + T], GC‐skew = [G − C]/[G + C]) (Perna & Kocher, 1995). The complete sequence and annotation were constructed using MitoFish, including a graphic circular map (Iwasaki et al., 2013).

Phylogenetic analysis

A total of 43 GenBank‐retrieved mitogenomes of species from the Nemacheilidae was used to reconstruct phylogenetic relationships (Table 1). Two species from the Cyprinidae (Hemibarbus labeo GenBank: DQ347953, Hemibarbus longirostris GenBank: DQ347952) were selected as outgroups. Nucleotide sequences of 12 PCGs were aligned separately by MEGA 7 using the default setting. The ND6 gene was excluded for phylogenetic analysis due to a high degree of heterogeneity (Miya et al., 2003). The 12 PCGs were concatenated to a combination sequence without termination codon due to a high degree of degeneracy. Maximum likelihood (ML) and Bayesian inference (BI) analyses were used to define phylogenetic relationships among the Nemacheilidae (Kumar et al., 2016; Ronquist et al., 2012). The phylogenetic trees were modified by FigTree v1.4.3 (Vlad, Balaji, Vikas, Ramani, & Larry, 2008).
TABLE 1

Species mentioned in this study with GenBank accession number

FamilySpeciesSize (bp)Whole genome compositionAccession number
A%C%G%T%
Nemacheilidae Acanthocobitis botia 16,66030.526.515.927.1 AP012138
Acanthocobitis zonalternans 16,64230.127.116.526.4 AP012140
Barbatula barbatula 16,63028.527.118.226.2 KP715096
Barbatula nuda 16,61928.427.217.926.5 KF574248
Barbatula toni 16,61728.527.317.826.4 AB242162
Homatula potanini 16,56930.126.916.726.3 KM017732
Homatula variegata 16,57129.527.117.326.1 JX144893
Homatula laxiclathra 16,57029.627.017.226.1 MK279351
Lefua costata 16,57929.926.516.826.9 KT943751
Lefua echigonia 16,55930.724.816.128.4 AB054126
Lefua nikkonis 16,58929.926.316.727.1 AP011300
Oreonectes furcocaudalis 16,56931.129.512.926.5 KX778472
Oreonectes platycephalus 16,58030.226.916.126.8 AP011296
Schistura balteata 16,56431.727.015.326.0 AB242172
Schistura corica 16,57229.726.617.326.4 AP011445
Schistura fasciolata 16,56030.926.916.226.1 KY404236
Schistura geisleri 16,81930.028.217.024.9 AP013295
Schistura jarutanini 16,59430.328.316.924.4 AP011307
Schistura kaysonei 16,57530.628.216.524.8 AP011297
Schistura notostigma 16,56829.827.917.125.2 AP011308
Schistura pridii 16,57630.828.416.324.5 AP011443
Schistura reticulofasciata 16,60330.827.716.525.0 KY379150
Schistura scaturigina 16,58530.827.016.425.8 KU380330
Schistura sikmaiensis 16,58133.821.113.531.6 KY379151
Triplophysa anterodorsalis 16,56727.425.718.428.6 KJ739868
Triplophysa bleekeri 16,56827.125.818.528.6 JX135578
Triplophysa dorsalis 16,57226.926.116.130.9 KT241024
Triplophysa lixianensis 16,57027.825.418.428.5 KT966735
Triplophysa orientalis 16,56227.425.518.728.5 KJ631323
Triplophysa pappenheimi 16,57228.225.418.128.3 KY419201
Triplophysa robusta 16,57028.225.318.028.4 KM406486
Triplophysa rosa 16,58531.825.315.627.3 JF268621
Triplophysa siluroides 16,57428.825.017.528.7 KJ781206
Triplophysa stenura 16,56927.825.418.428.4 KX354975
Triplophysa stewarti 16,56727.825.418.428.4 KJ631324
Triplophysa stoliczkai 16,57128.125.217.928.8 JQ663847
Triplophysa strauchii 16,59028.325.417.828.5 KP297875
Triplophysa tenuis 16,57127.525.718.628.2 KT224363
Triplophysa tibetana 16,57426.925.619.128.3 KT224364
Triplophysa venusta 16,57427.826.918.426.9 KT008666
Triplophysa wuweiensis 16,68128.025.718.128.2 KT224365
Triplophysa xiangxiensis 16,59830.826.316.026.8 KT751089
Triplophysa xichangensis 16,57028.625.317.628.6 KT224366
Triplophysa yarkandensis 16,57431.930.417.420.3 KP050360
Cyprinidae Hemibarbus labeo 16,61229.727.117.226.0 DQ347953
Hemibarbus longirostris 16,60827.727.218.726.3 DQ347952
Species mentioned in this study with GenBank accession number

RESULTS AND DISCUSSION

Mitochondrial genomic structure and composition

The complete mitogenome of H. laxiclathra is a circular molecule of 16,570 bp (Figure 2) and is deposited in the GenBank database under accession numbers MK279351. It consists of 37 typical genes, including 13 protein‐coding genes (PCGs), 22 transfer RNA genes, two rRNA genes, and a noncoding region (Table 2). Nearly, all the genes are transcribed on the heavy strand, whereas ND6 and eight tRNA genes are located on the light strand. The structure and composition of H. laxiclathra is identical to other mitogenomes of nemacheilids to date (Vlad et al., 2008). The nucleotide composition of the H. laxiclathra mitogenome has a gently biased A + T content for 55.7%. The overall base composition of H. laxiclathra is the following: A, 29.6%; T, 26.1%; C, 27.0%; G, 17.2%. The overall AT‐ and GC‐skew of H. laxiclathra mitogenome are −0.013 and −0.233S. The nucleotide frequency of each protein‐coding gene is A + T > C + G, respectively, showing a strong AT bias (Table 3). For analyses within the genus, the same information from H. potanini and H. variegata was calculated. H. potanini showed the highest A + T frequency at 56.4% with H. variegata and H. laxiclathra having the most robust AT‐skew. The whole mitogenome base composition of H. variegata is highly similar to H. laxiclathra with A for 29.5%, T for 26.1%, C for 27.1%, and G for 17.3%, suggesting they share a deep homology.
FIGURE 2

Mitogenome map of Homatula laxiclathra, generated from MitoFish (Iwasaki et al., 2013)

TABLE 2

Annotation of mitochondrial genome of Homatula laxiclathra

GenePosition From‐toLength (bp)Intergenic lengthStrandStart codonStop condon
tRNAPhe 1–6969 H  
12SrRNA70–1,0209510H  
tRNAVal 1,021–1,092720H  
16SrRNA1,093–2,76416720H  
tRNALeu(UUR)2,765–2,839750H  
ND12,840–3,8149750HATGTAA
tRNAIle 3,822–3,893727H  
tRNAGln 3,892–3,96271−2L  
tRNAMet 3,964–4,032691H  
ND24,033–5,0771,0450HATGT
tRNATrp 5,078–5,147700H  
tRNAAla 5,150–5,218692L  
tRNAAsn 5,220–5,292731L  
tRNACys 5,323–5,3886630L  
tRNATyr 5,388–5,45669−1L  
COI5,458–7,00815511HGTGTAA
tRNASer(UCN)7,009–7,079710L  
tRNAAsp 7,083–7,155733H  
COII7,169–7,85969113HATGT
tRNALys 7,860–7,935760H  
ATP87,937–8,1041681HATGTAA
ATP68,095–8,777683−10HATGTA
COIII8,778–9,5617840HATGT
tRNAGly 9,562–9,634730H  
ND39,635–9,9833490HATGT
tRNAArg 9,984–10,053700H  
ND4L10,054–10,3502970HATGTAA
ND410,344–11,7251,382−7HATGTA
tRNAHis 11,726–11,795700H  
tRNASer(AGY)11,807–11,8625611H  
tRNALeu(CUN)11,864–11,936731H  
ND511,937–13,77518390HATGTAA
ND613,772–14,293522−4LATGTAG
tRNAGlu 14,294–14,362690L  
Cytb14,367–15,5071,1414HATGT
tRNAThr 15,508–15,579720H  
tRNAPro 15,578–15,64770−2L  
D‐loop15,648–16,5709230H  
TABLE 3

The AT‐ and GC‐skew in the PCGs of Homatula laxiclathra

GeneNucleotide frequency (%)A + T (%)AT‐skewCG‐skew
ATCG
ATP628.730.227.114.158.9−0.025−0.316
ATP831.026.826.216.157.80.073−0.239
COI24.629.425.920.254.0−0.089−0.124
COII29.225.828.416.655.00.062−0.262
COIII26.826.028.818.452.80.015−0.220
ND127.927.729.614.855.60.004−0.333
ND231.324.031.013.755.30.132−0.387
ND325.230.127.217.555.3−0.089−0.217
ND427.826.929.216.154.70.016−0.289
ND4L22.629.031.017.551.6−0.124−0.278
ND530.127.428.214.457.50.047−0.324
ND640.216.130.812.856.30.428−0.413
Cytb28.028.427.416.156.4−0.007−0.260
12SrRNA29.919.927.322.949.80.201−0.088
16SrRNA35.820.523.220.556.30.272−0.062
D‐Loop32.533.619.514.466.1−0.017−0.150
Total27.328.126.916.855.8−0.013−0.233
Mitogenome map of Homatula laxiclathra, generated from MitoFish (Iwasaki et al., 2013) Annotation of mitochondrial genome of Homatula laxiclathra The AT‐ and GC‐skew in the PCGs of Homatula laxiclathra

Protein‐coding genes

The 13 PCGs of H. laxiclathra are similar in component and length to other familial fishes, ranging from 168 bp for ATP8 to 1839 bp for ND5. All these PCGs are coded by the heavy strand except ND6 which is coded by the light strand (Miya & Nishida, 2000). Similar to other loaches, the COI gene has a GTG start codon, whereas other twelve PCGs start with ATG. Five PCGs end with complete termination codon TAA and others with T‐ or TA‐. The total length of 13 PCGs is 11,441 bp, which contain 12 intergenic spacers, the smallest spacer is only 1 bp in size, whereas the longest spacer can be up to 30 bp located between tRNA (Asn) and tRNA (Cys). There are six overlaps ranging from 1 to 10 bp, and the longest region is located between ATP8 and ATP6. Among the 13 protein‐coding genes, ATP6 showed the highest A + T content with 58.9% and COIII at the lowest A + T content with 52.8%. Codon usage and relative synonymous codon usage (RSCU) of the H. laxiclathra mitogenome is summarized (Table 4). Almost all codons are present in H. laxiclathra except for the specific mammals stop codons AGA and AGG. The most common amino acids in protein‐coding genes are leucine (463), alanine (331), and threonine (298). Leucine was coded by CUA (213) in H. laxiclathra PCGs, the same as in H. variegata and H. potanini. GCC (147) and GCA (129) are shared equally, coding for alanine, and the same trend is shown by threonine: ACC (120) and ACA (129).
TABLE 4

Relative synonymous condon usage (RSCU) in all proteins of Homatula laxiclathra

Codon n (RSCU)Codon n (RSCU)Codon n (RSCU)Codon n (RSCU)
UUU(F)108 (1)UCU(S)32 (0.81)UAU(Y)41 (0.78)UGU(C)8 (0.64)
UUC(F)108 (1)UCC(S)61 (1.55)UAC(Y)64 (1.22)UGC(C)17 (1.36)
UUA(L)108 (1.1)UCA(S)85 (2.16)UAA(*)0 (0)UGA(W)89 (1.53)
UUG(L)16 (0.16)UCG(S)7 (0.18)UAG(*)0 (0)UGG(W)27 (0.47)
CUU(L)94 (0.96)CCU(P)38 (0.73)CAU(H)25 (0.48)CGU(R)8 (0.45)
CUC(L)94 (0.96)CCC(P)67 (1.28)CAC(H)79 (1.52)CGC(R)10 (0.56)
CUA(L)213 (2.18)CCA(P)88 (1.68)CAA(Q)78 (1.58)CGA(R)47 (2.65)
CUG(L)62 (0.63)CCG(P)16 (0.31)CAG(Q)21 (0.42)CGG(R)6 (0.34)
AUU(I)175 (1.24)ACU(T)35 (0.47)AAU(N)41 (0.74)AGU(S)8 (0.2)
AUC(I)107 (0.76)ACC(T)120 (1.61)AAC(N)70 (1.26)AGC(S)43 (1.09)
AUA(M)118 (1.4)ACA(T)129 (1.73)AAA(K)61 (1.61)AGA(*)0 (0)
AUG(M)50 (0.6)ACG(T)14 (0.19)AAG(K)15 (0.39)AGG(*)0 (0)
GUU(V)53 (1.03)GCU(A)43 (0.52)GAU(D)21 (0.58)GGU(G)34 (0.61)
GUC(V)37 (0.72)GCC(A)147 (1.78)GAC(D)51 (1.42)GGC(G)47 (0.85)
GUA(V)92 (1.8)GCA(A)129 (1.56)GAA(E)69 (1.41)GGA(G)85 (1.53)
GUG(V)23 (0.45)GCG(A)12 (0.15)GAG(E)29 (0.59)GGG(G)56 (1.01)
Relative synonymous condon usage (RSCU) in all proteins of Homatula laxiclathra

Transfer RNA genes and ribosomal RNA genes

All 22 tRNA genes are found in the mitogenome of H. laxiclathra. Comparative analysis on potential secondary structures of H. laxiclathra tRNAs is shown (Figure 3). Fourteen tRNAs were located on the heavy strand whereas the other tRNAs were on the light strand. The length of all tRNAs was similar, ranging from 56 bp to 75 bp. Nearly, all tRNA genes were predicted to have typical cloverleaf structures, with the exception of tRNA‐Ser (AGN) which lacked a stable DHU stem (Figure 2). This missing stem occurs in most teleost mitogenomes as previously reported (Lee & Kocher, 1995). In addition, some tRNAs showed mismatched pairs in stems (e.g. U‐G and A‐C in the acceptor arm of tRNA‐Arg for three Homatula species). These conserved mismatched pairs may be similar to the molecular synapomorphy for the genus. The length of 12S rRNA and 16S rRNA of H. laxiclathra were 951 bp and 1672 bp, respectively. The values were similar with H. potanini and H. variegata, falling well into the size range in fishes. The A + T contents of the 12S rRNA and 16S rRNA of H. laxiclathra were 49.8% and 56.3%, respectively, thus indicating some diversity in nucleotide distribution. Both 12S rRNA and 16S rRNA had a positive AT‐skew (0.201 and 0.272), and a negative GC‐skew (−0.088 and −0.062) at the same locations on the heavy strand. Similar to other Nemacheilidae species, 12S rRNA was located between tRNA‐Phe and tRNA‐Val and the 16S rRNA was located between tRNA‐Val and tRNA‐Leu.
FIGURE 3

Secondary structures of transfer RNA genes in Homatula laxiclathra, generated from RNAstructure 6.1 and SturctureEditor (Mathews, 2014)

Secondary structures of transfer RNA genes in Homatula laxiclathra, generated from RNAstructure 6.1 and SturctureEditor (Mathews, 2014)

Noncoding regions

The mitogenome of H. laxiclathra has two noncoding regions, the D‐loop and OL. The 923 bp D‐loop is located between tRANPro and tRNA‐Phe with 66.1% A + T content (Figure 4). The OL is 30 bp in length, located in the WANCY region between tRNA‐Asn and tRNA‐Cys with a putative hairpin structure (Figure 5). The D‐loop region is complex and highly variable and can determine the replication pattern of the mitogenome (Liu, Zhang, Tang, Yu, & Zhou, 2010).
FIGURE 4

Sequence of D‐loop in Homatula laxiclathra with CSBs marked

FIGURE 5

The stem‐loop secondary of OL of Homatula laxiclathra, generated from RNAstructure 6.1 and SturctureEditor (Mathews, 2014)

Sequence of D‐loop in Homatula laxiclathra with CSBs marked The stem‐loop secondary of OL of Homatula laxiclathra, generated from RNAstructure 6.1 and SturctureEditor (Mathews, 2014) By comparing with other Nemacheilidae, the D‐loop can be divided into three functional segments, the termination associated sequence (TAS‐1 and TAS‐2), the central conserved sequence block (CSB‐D, CSB‐E, and CSB‐F) and the conserved sequence block (CSB‐1, CSB‐2, and CSB‐3). The termination associated sequence varies markedly among different lineages, although it can play vital roles in determining the fate of the heavy strand. The core conserved sequence TACAT and complementary sequence ATGTA were detected in TAS, folded into a stable hairpin structure. Two poly‐T stretches and a conserved motif (TA)5 were found by comparing against other fishes. Significant tandem repeats were not recognized in the H. laxiclathra D‐loop. Phylogenetic relationships of the Nemacheilidae were reconstructed using two methods, Bayesian inference (BI) and maximum likelihood (ML) (Figure 6). Twelve PCGs from 41 nemacheilid species were concatenated to a matrix and used for phylogenetic analyses; two Cyprinidae species were selected as the outgroups. The phylogenetic trees generated a similar topology that confirmed the findings from a previous study for loach classification (Sgouros, Page, Orlofske, & Jadin, 2019). Both phylogenetic trees consistently showed three major clades, including (I) Acanthocobitis and Schistura, (II) Oreonectes and Lefua, (III) Homatula, Barbatula, and Triplophysa. All the congeneric species represented a single cluster for each genus (Acanthocobitis, Homatula, Barbatula, Lefua, Oreonectes, Schistura, and Triplophysa), and, the relationship of the Nemacheilidae was consistent with other phylogenetic and morphological studies on these species (Prokofiev, 2010; Stout, Tan, Lemmon, Lemmon, & Armbruster, 2016). Thus, Homatula was shown to be valid as an inherent Asian fish group according to where the genus falls out on both trees. Further, Homatula shares a close ancestor with Oreonectes and Lefua making it a sister group. The topology also demonstrated monophyly of three Lefua species (Miyazaki et al., 2011). This molecular information provides a more robust data set to support fish classification and identification. In addition, several related articles adapt various standards to classify species, such as phylogeny based on single mitogenome genes or nuclear genes (Liu et al., 2012; Powell, Barker, & Lanyon, 2013; Tang, Liu, Mayden, & Xiong, 2006). Our results are based on the highest coverage of Nemacheilidae mitogenomic data to date and provide an updated view of Nemacheilidae phylogeny.
FIGURE 6

Phylogenetic relationships among Nemacheilidae, generated from MEGA 7 and MrBayes 3.2.7 (Kumar et al., 2016; Ronquist et al., 2012)

Phylogenetic relationships among Nemacheilidae, generated from MEGA 7 and MrBayes 3.2.7 (Kumar et al., 2016; Ronquist et al., 2012)

CONCLUSIONS

In this study, we present the complete mitogenome of Homatula laxiclathra and provide a comparison of this sequence against other Homatula species to examine the architecture of mitogenome structure, the location of coding genes, and codon usage. The results integrate updated mitogenomic information of the Nemacheilidae and generate a new phylogeny and relationship among different genera of these fishes. However, many genus‐level taxonomy studies lack robust molecular data and thus the true phylogeny of the loach remains unresolved.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHOR CONTRIBUTION

Mengfei Cao: Data curation (equal); Formal analysis (equal); Investigation (equal); Resources (equal); Software (equal); Writing‐original draft (equal); Writing‐review & editing (equal). Ling Tang: Data curation (equal); Investigation (equal); Resources (equal). Juan Chen: Data curation (equal); Formal analysis (equal); Investigation (equal); Resources (equal). Xiaoyu Zhang: Data curation (equal); Resources (equal). Russell H. Easy: Writing‐review & editing (equal). Ping You: Conceptualization (equal); Funding acquisition (equal); Investigation (equal); Project administration (equal); Supervision (equal); Writing‐original draft (equal); Writing‐review & editing (equal).
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Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

6.  Parallel evolution in eight-barbel loaches of the genus Lefua (Balitoridae, Cypriniformes) revealed by mitochondrial and nuclear DNA phylogenies.

Authors:  Jun-ichi Miyazaki; Manabu Dobashi; Toshio Tamura; Saori Beppu; Takehiko Sakai; Motohiro Mihara; Kazumi Hosoya
Journal:  Mol Phylogenet Evol       Date:  2011-05-17       Impact factor: 4.286

7.  Using the RNAstructure Software Package to Predict Conserved RNA Structures.

Authors:  David H Mathews
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17

8.  Structure and evolution of teleost mitochondrial control regions.

Authors:  W J Lee; J Conroy; W H Howell; T D Kocher
Journal:  J Mol Evol       Date:  1995-07       Impact factor: 2.395

9.  Resolving Cypriniformes relationships using an anchored enrichment approach.

Authors:  Carla C Stout; Milton Tan; Alan R Lemmon; Emily Moriarty Lemmon; Jonathan W Armbruster
Journal:  BMC Evol Biol       Date:  2016-11-09       Impact factor: 3.260

10.  The first mitochondrial genomes for Pyralinae (Pyralidae) and Glaphyriinae (Crambidae), with phylogenetic implications of Pyraloidea.

Authors:  Wenbo Zhu; Jun Yan; Jingrui Song; Ping You
Journal:  PLoS One       Date:  2018-03-27       Impact factor: 3.240

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