Literature DB >> 30026660

The complete mitochondrial genome of Xizicus (Haploxizicus) maculatus revealed by Next-Generation Sequencing and phylogenetic implication (Orthoptera, Meconematinae).

Mao Shaoli1, Yuan Hao2, Lu Chao2, Zhou Yafu1, Shi Fuming3, Wang Yuchao1.   

Abstract

Xizicus Gorochov, 1993, the quiet-calling katydid, is a diverse genus with 68 species in world, which includes more than 45 species in China, has undergone numerous taxonomic revisions with contradicting conclusions. In this study the complete mitochondrial genome of Xizicus (Haploxizicus) maculatus collected from Hainan for the first time was sequenced using the Next-Generation Sequencing (NGS) technology. The length of whole mitogenome is 16,358 bp and contains the typical gene arrangement, base composition, and codon usage found in other related species. The overall base composition of the mitochondrial genome is 37.0 % A, 32.2 % T, 20.2 % C, and 10.6 % G. All 13 protein-coding genes (PCGs) began with typical ATN initiation codon. Nine of the 13 PCGs have a complete termination codon, but the remaining four genes (COI, COIII, ND5, and ND4) terminate with an incomplete T. Phylogenetic analyses are carried out based on the concatenated dataset of 13 PCGs and two rRNAs of Tettigoniidae species available in GenBank. Both Bayesian inference and Maximum Likelihood analyses recovered each subfamily as a monophyletic group. Regardless of the position of Lipotactinae, the relationships among the subfamilies of Tettigoniidae were as follows: ((((Tettigoniinae, Bradyporinae) Meconematinae) Conocephalinae) Hexacentrinae). The topological structure of the phylogeny trees showed that the Xizicus (Haploxizicus) maculatus is closer to Xizicus (Xizicus) fascipes than Xizicus (Eoxizicus) howardi.

Entities:  

Keywords:  Next-Generation Sequencing; Xizicus (Haploxizicus) maculatus; mitochondrial genome; phylogenetic relationship

Year:  2018        PMID: 30026660      PMCID: PMC6048180          DOI: 10.3897/zookeys.773.24156

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

Insect mitochondrial genome (mitogenome) occurs as a small (15–20kb), circular, and double-stranded DNA molecules, including 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, two ribosomal RNA (rRNA) genes (Boore 1999; Cameron, 2014) and at least one large non-coding region related to the control of replication and transcription (Clayton 1992; Fernandez-Silva et al. 2003). Recently, Next-Generation Sequencing (NGS) technology, combined with bioinformatic annotation, which presently used for generating mitogenomes without using PCR, has led to a rapid increase in the number of sequenced mitogenomes (Cameron 2014). In recent years, more and more mitochondrial entire genomes of have been sequenced (Yang et al. 2016; Zhou et al. 2014; 2017). Up to now, 24 () mitogenomes have been reported or registered in GenBank, including only five Meconematine mitogenomes. Gorochov, 1993 is a diverse genus in with 68 species in the world, currently divided into seven subgenera by traditional taxonomy based on comparative morphology: s. str., , , , , , according to the OSF website (Cigliano et al. 2018). However, great controversies still exist in the defining characteristics and taxonomic status of these subgenera, and the assignment of some species changes frequently and has undergone numerous taxonomic revisions with contradicting conclusions (Gorochov 1998; Jiao et al. 2013; Wang et al. 2014). Integrative taxonomy combining multiple kinds of data and complementary perspectives (e.g. morphology, ecology and DNA sequences) has been recognized as a particularly efficient means to species delimitation and genus-level classification (Cruz-Barraza et al. 2012; Heneberg et al. 2015; Korshunova et al. 2017). The mitogenome is considered a powerful marker and is extensively applied for resolving metazoan phylogenetic relationships at both deep and shallow taxonomic levels (Cameron 2014; Zhou et al. 2017). To date, the mitogenomes of and have been sequenced (Yang et al. 2012; Liu 2017). (Xia & Liu, 1993) is a representative species of distributed in Hunan of China, which was reported by Xia and Liu (1993) within the genus . Later, Gorochov (1998) proposed the genus and transferred to this new genus. Wang et al. (2014) subsequently transferred it to the new mainly based on the typical characteristic of vertex disc with four longitudinal bands and the simple cercus, and this classification viewpoint was adopted by the Species File website (Cigliano et al. 2018). Type locality of is Cili country of Hunan Province. Specimen used in this study was collected from Hainan Province for the first time. In this study, we provided a thorough description of the complete mitochondrion genome of , compared the relative synonymous codon usage with other two subgenera species. Additionally, phylogenomic analyses were conducted based on mitochondrial genome data of available in GenBank with the purpose of investigating the phylogenetic position of and better understanding the phylogenetic relationship of .

Materials and methods

Taxon sampling and sequencing

The specimen of was collected at Jianfengling in Hainan, China in June 2017 and stored in 100 % ethanol at −4 °C. Genomic DNA was extracted from the leg muscle tissue of a single adult male species of using a DNeasy Blood & Tissue Kit (Qiagen, USA) according to the manufacturer’s instruction and sent to a company for library prep and sequencing (Genesky Biotechnologies Inc., Shanghai). The library was prepared using a TruSeq DNA sample Preparation kit (Vanzyme, China) and sequenced with 150 bp pair-end reads on the Illumina Hiseq 2500 sequencing platform (Illumina, USA).

De novo assembly and annotation of the mitogenome

13,799,778 raw reads were sequenced by the Illumina Hiseq 2500 platform. The raw paired-end reads were filtered to obtain high-quality clean reads by using CLC Genomics Workbench 8 (CLC Bio, Aarhus, Denmark) with default parameters. Then the filtered reads were aligned to the mitochondrial genome of (JQ326212) as a reference using MITObim v1.8 (Hahn et al. 2013) and Mira 4.0.2 (Chevreux et al. 2004) to assembly. All of 32,608 clean mitochondrial reads yielded an average coverage of 255.4 X. The complete mitochondrial genome sequence was annotated using the software Geneious v 10.1.2 (Biomatters Ltd., Auckland, New Zealand) by comparing with the mitochondrial genome of (JQ326212). The tRNA genes were predicted using online software MITOS (Bernt et al. 2013). The nucleotide relative synonymous codon usage (RSCU) values of PCGs were analysed with MEGA v7 software (Kumar et al. 2016).

Phylogenetic analyses

Phylogenetic analyses were performed on the concatenated datasets of PCGs and rRNAs of the newly sequenced mitogenome and 24 species downloaded from GenBank, with two taxa ( and ) selected as the outgroups. Alignment of each protein-coding gene inferred from the amino acid alignment was performed using MEGA v7.0 (Kumar et al. 2016), and the alignment results were then concatenated. Bayesian inference (BI) analysis was used for phylogenetic reconstruction with MrBayes 3.1.2 (Ronquist and Huelsenbeck 2003) under the partitioned models chosen by PartitionFinder 2 (Lanfear et al. 2017). In the BI analysis, 10,000,000 generations were run, with four MC chains, and the trees were sampled every 1000 generations with a burn-in step. The confidence values for the BI tree were expressed as the Bayesian posterior probabilities in percentages. A maximum likelihood (ML) tree was constructed using RAxML 8.0 (Stamatakis 2014) and the optimal partitions and best models were also selected by PartitionFinder 2 and the robustness of the phylogenetic results was tested through bootstrap analysis with 1000 replicates in RAxML and the bootstrap support values were printed on the best ML tree.

Results and discussion

Genome organization

The complete mitogenome of is 16,358 bp in length and has been deposited in GenBank under accession no. MG779499. mtDNA is larger than that observed in other species in , which typically ranged from 16,044 bp (Zhou et al. 2017) to 16,166 bp (Yang et al. 2012). The mitochondrial genome structure is detailed in Table 1. It contained a typical gene content found in metazoan mitogenomes: 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, two ribosomal (rRNA) genes, and one control region (Table 1, Fig. 1). Gene order and arrangement was identical to the mitogenome. The mitochondrial genes were separated by a total of 65 bp intergenic spacer sequences, which spreaded over ten regions and range in size from one to 17 bp. There were 13 overlaps amongst all 48 bp and the longest overlaps of 8 bp were located between tRNATrp-tRNACys and tRNATyr-COI. The overall base composition of the whole mitochondrial genome was 37.0 % A, 32.2 % T, 20.2 % C, and 10.6 % G, exhibiting obvious anti-G and AT bias (69.2 %) which was slightly lower than (70.2 %) and (71.0 %).
Table 1.

Organization of the mitogenome.

Gene/regionPositionSizeDirectionInitiation codonTermination codonanticodon
tRNA Ile 1-66(-3)66FGAT
tRNA Gln 64-132(+8)69RTTG
tRNA Met 141-20464FCTA
ND2205-1233(-2)1029FATTTAA
tRNATrp1232-1297(-8)66FTCA
tRNA Cys 1290-135364RGCA
tRNA Tyr 1354-1419(-8)66RGTA
COI1412-29511540FATTT
tRNA Leu(UUR) 2452-3016(+3)65FTAA
COII3020-3703(+1)684FATGTAA
tRNA Lys 3705-3774(-1)70FCTT
tRNA Asp 3774-383966FGTC
ATP83840-4004(-7)165FATTTAA
ATP63998-4675(-1)678FATGTAA
COIII4675-5461787FATGT
tRNAGly5462-552665FTCC
ND35527-5880(+2)354FATCTAA
tRNA Ala 5883-5946(-1)64FTGC
tRNAArg5946-6008(+16)63FTCG
tRNA Asn 6025-6090(+2)66FGTT
tRNA Ser(AGN) 6093-615967FGCT
tRNAGlu6160-6226(+14)67FTTC
tRNA Phe 6305-642165RGAA
ND56306-80371732RATTT
tRNA His 8038-810164RGTG
ND48102-9440(-7)1339RATGT
ND4L9434-9730(+1)297RATGTAA
tRNA Thr 9732-9802(-1)71FTGT
tRNA Pro 9802-9867(+1)66RTGG
ND69869-10396(-1)528FATATAA
Cytb10396-11532(-2)1137FATGTAG
tRNA Ser(UCN) 11531-11599(+17)69FTGA
ND111617-12570(-6)954RATATAG
tRNA Leu(CUN) 12565-1262864RTAG
lrRNA12629-139321304R
tRNA Val 13933-1400371RTAC
srRNA14004-14788785R
Control region14789-163581570F
Figure 1.

Circular visualization of the mitogenome of .

Organization of the mitogenome. Circular visualization of the mitogenome of .

Protein-coding genes

The total length of all 13 PCGs was 11,224 bp, and the overall A+T content of PCGs was 68.3 %. The initiation codons of all PCGs were typical with ATN (COII, ATP6, COIII, ND4, ND4L, and Cytb with ATG, ND2, COI, ATP8, ND5 with ATT; ND6, ND1 with ATA, Only ND3 with ATC). The ATN codon was prevalently regarded as initiation codons for mitogenome PCGs in insects. Seven genes (ND2, COII, ATP8, ATP6, ND3, ND4L, ND6) used TAA as the termination codons, and two genes (Cytb, ND1) were stopped with TAG. COI, COII, ND5, and ND4 had an incomplete termination codon T (Table 1). The incomplete termination codon is common in metazoan mitochondrial genomes and exhibit function after post-transcription polyadenylation converts into full stop codon (Ojala et al. 1981). The four most-used amino acids in were Leu (16.1 %), Ser (8.9 %), Phe (8.7 %), and Ile (8.4 %), whose proportions were similar to those observed in other species. All codons were present in the protein-coding genes of this mitogenome. Excluding incomplete termination codons, there were 3,735 codons in the protein-coding genes. The codon usage in appeared to be typical of other insect mitochondrial sequences. The RSCU analysis indicated that codons including A or T at the third position were always overused compared with other synonymous codons in (Fig. 2). The codon usage could also reflect nucleotide bias.
Figure 2.

Relative synonymous codon usage of , , mitochondrial protein-coding genes. Condon families are provided on the x-axis.

Relative synonymous codon usage of , , mitochondrial protein-coding genes. Condon families are provided on the x-axis.

Ribosomal and transfer RNA genes

The length of tRNA genes ranged from 63 to 71 bp and the relative locations for each tRNA are shown in Table 1. All tRNA genes had the typical cloverleaf secondary structures except for tRNASer(AGN). The secondary structures of tRNASer(AGN) was completely identical with and showed a lengthened anticodon stem (9 bp) with a bulging nucleotide in the middle, an unusual 6 bp length T-stem, a mini DHU arm (2 bp), and no connector nucleotides (Yang et al. 2012). The lrRNA and srRNA were 1304bp and 785bp in length, respectively. They were located between tRNALeu(CUN) and A+T-rich region, being separated by tRNAVal.

Non-coding regions

The control region was 1570 bp in length and located between srRNA and tRNAIle in mitogenome, and was composed of 64.4 % A and T nucleotides (Fig. 1; Table 1). The control region is characterized by a high AT content and is thought to be involved in the regulation of mtDNA transcription and replication (Bae et al., 2004), whose size differences are not only because of high rates of nucleotide substitution, insertion or deletion, but also due to the length of tandem repeat unit and the number of tandem repetitions (Yang et al. 2012). The sequence analysis revealed four tandem repeats size from 26 to 162 bp, contributing 738 bp to the length of the region.

Phylogenetic relationships

Bayesian analyses and maximum likelihood produced identical topologies using the best-fit partitioning scheme and site-homogeneous models, excepting the location of () and genera relationships in (Fig. 3). Bayesian inference recovered each , , , and as a monophyletic group with strongly supported (PP ≥ 0.93), while the monophyly of and (only include the tribe ) was not well supported in ML topology. The position of was at basal in the ML tree while it formed the most basal clade together with in the BI analysis. The relationship of with other subfamilies was unascertainable may due to only one taxa used in analyses.
Figure 3.

Phylogenetic reconstruction of using mitochondrial PCGs and rRNA concatenated dataset. A Bayesian result, applicable posterior probability values are shown B Maximum likelihood result with applicable bootstrap values shown.

Phylogenetic reconstruction of using mitochondrial PCGs and rRNA concatenated dataset. A Bayesian result, applicable posterior probability values are shown B Maximum likelihood result with applicable bootstrap values shown. In present study, regardless of the position of , the relationships among the subfamilies of were as follows: ((((, ) ) ) ), which was congruent with the phylogenetic results using site-homogeneous both in ML and BI analyses (Zhou et al. 2017). The relationships among subfamilies within were sensitive to the methods used for tree reconstruction and the molecular maker used. Previous phylogenetic studies based on multi-molecular makers (28SrDNA, 18SrDNA, COII, Histone and Wingless genes) inferred a striking difference results that placed and as more ‘advanced’ groups sister to the clade consisting of and , and as the more ‘primitive’ group diverging at an earlier node (Mugleston et al. 2013). The present topologies placed as an apical node sister to and then assembled with , which was congruent with the phylogenetic results using site-homogeneous both in ML and BI analyses (Zhou et al. 2017), while differed with the site-heterogeneous CAT-GTR model tree (Zhou et al. 2017). Recent studies suggest that analysis model used in mitochondrial phylogenetic reconstruction potentially impact phylogenies result when genomic data existing lineage compositional heterogeneity and saturation due to accelerated substitution rates causing homoplasy (Li et al. 2015; Zhou et al. 2017). The generic relationships within the subfamily were not identical in the BI and ML trees. The relationships between the four genera were as follows: (((, ) ) ) in the BI tree (Fig. 3A); (((, ) ) ) in the ML tree (Fig. 3B). , and clustered into one clade in both analyses, and was closer to the nominate species than . Additional taxon sampling will be needed to clarify the relationships of genera in .
  24 in total

Review 1.  Animal mitochondrial genomes.

Authors:  J L Boore
Journal:  Nucleic Acids Res       Date:  1999-04-15       Impact factor: 16.971

2.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

3.  Integrative taxonomy of central European parasitic flatworms of the family Prosthogonimidae Lühe, 1909 (Trematoda: Plagiorchiida).

Authors:  Petr Heneberg; Jiljí Sitko; Jiří Bizos
Journal:  Parasitol Int       Date:  2015-02-25       Impact factor: 2.230

Review 4.  Insect mitochondrial genomics: implications for evolution and phylogeny.

Authors:  Stephen L Cameron
Journal:  Annu Rev Entomol       Date:  2013-10-16       Impact factor: 19.686

5.  Revision on genus Xizicus Gorochov (Orthoptera, Tettigoniidae, Meconematinae, Meconematini) with description of three new species form China.

Authors:  Hanqiang Wang; Jun Jing; Xianwei Liu; Kai Li
Journal:  Zootaxa       Date:  2014-09-16       Impact factor: 1.091

6.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

7.  Polyphyly of the traditional family Flabellinidae affects a major group of Nudibranchia: aeolidacean taxonomic reassessment with descriptions of several new families, genera, and species (Mollusca, Gastropoda).

Authors:  Tatiana Korshunova; Alexander Martynov; Torkild Bakken; Jussi Evertsen; Karin Fletcher; I Wayan Mudianta; Hiroshi Saito; Kennet Lundin; Bernard Picton
Journal:  Zookeys       Date:  2017-11-30       Impact factor: 1.546

8.  MITOS: improved de novo metazoan mitochondrial genome annotation.

Authors:  Matthias Bernt; Alexander Donath; Frank Jühling; Fabian Externbrink; Catherine Florentz; Guido Fritzsch; Joern Pütz; Martin Middendorf; Peter F Stadler
Journal:  Mol Phylogenet Evol       Date:  2012-09-07       Impact factor: 4.286

9.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

10.  Integrative taxonomy and molecular phylogeny of genus Aplysina (Demospongiae: Verongida) from Mexican Pacific.

Authors:  José Antonio Cruz-Barraza; José Luis Carballo; Axayacatl Rocha-Olivares; Hermann Ehrlich; Martin Hog
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

View more
  3 in total

1.  Tracking outbreak populations of the pepper weevil Anthonomus eugenii (Coleoptera; Curculionidae) using complete mitochondrial genomes.

Authors:  Bart T L H van de Vossenberg; Tim Warbroek; Joseph Ingerson-Mahar; Cees Waalwijk; Lucas P van der Gouw; Bernadette Eichinger; Antoon J M Loomans
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

2.  Mitochondrial genome of a brachypterous species in Meconematinae: Acosmetura nigrogeniculata and its phylogenetic implication.

Authors:  Ning Han; Hao Yuan; Jing Wang; Yafu Zhou; Shaoli Mao
Journal:  Mitochondrial DNA B Resour       Date:  2019-07-10       Impact factor: 0.658

3.  Characterization of the mitochondrial genome of Alloxiphidiopsis emarginata (Orthoptera, Tettigoniidae, Meconematinae).

Authors:  Shao Li Mao; Yuan Lu; Lu Lu Xun; Ya Fu Zhou
Journal:  Mitochondrial DNA B Resour       Date:  2019-11-21       Impact factor: 0.658

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.