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. 2009 Jun 15;9:134. doi: 10.1186/1471-2148-9-134

Phylogenetic analysis of the true water bugs (Insecta: Hemiptera: Heteroptera: Nepomorpha): evidence from mitochondrial genomes

Jimeng Hua 1, Ming Li 1,2, Pengzhi Dong 1, Ying Cui 1, Qiang Xie 1, Wenjun Bu 1,✉
PMCID: PMC2711072  PMID: 19523246

Abstract

Background

The true water bugs are grouped in infraorder Nepomorpha (Insecta: Hemiptera: Heteroptera) and are of great economic importance. The phylogenetic relationships within Nepomorpha and the taxonomic hierarchies of Pleoidea and Aphelocheiroidea are uncertain. Most of the previous studies were based on morphological characters without algorithmic assessment. In the latest study, the molecular markers employed in phylogenetic analyses were partial sequences of 16S rDNA and 18S rDNA with a total length about 1 kb. Up to now, no mitochondrial genome of the true water bugs has been sequenced, which is one of the largest data sets that could be compared across animal taxa. In this study we analyzed the unresolved problems in Nepomorpha using evidence from mitochondrial genomes.

Results

Nine mitochondrial genomes of Nepomorpha and five of other hemipterans were sequenced. These mitochondrial genomes contain the commonly found 37 genes without gene rearrangements. Based on the nucleotide sequences of mt-genomes, Pleoidea is not a member of the Nepomorpha and Aphelocheiroidea should be grouped back into Naucoroidea. Phylogenetic relationships among the superfamilies of Nepomorpha were resolved robustly.

Conclusion

The mt-genome is an effective data source for resolving intraordinal phylogenetic problems at the superfamily level within Heteroptera. The mitochondrial genomes of the true water bugs are typical insect mt-genomes. Based on the nucleotide sequences of the mt-genomes, we propose the Pleoidea to be a separate heteropteran infraorder. The infraorder Nepomorpha consists of five superfamilies with the relationships (Corixoidea + ((Naucoroidea + Notonectoidea) + (Ochteroidea + Nepoidea))).

Background

The true water bugs are grouped as the infraorder Nepomorpha, one of seven infraorders within the suborder Heteroptera (Insecta: Hemiptera) [1]. This group is of tremendous economic importance because all the members, except some Corixidae, are predators [2]. Extant water bugs have been grouped into 6 [3,4] or 5 superfamilies (Notonectoidea including Pleoidea) [2]. When molecular sequence data was combined with morphological characters to analyze the phylogenetic relationships of the true water bugs for the first time, a 7-superfamily classification system was proposed, containing a newly erected superfamily Aphelocheiroidea, which had formerly belonged to Naucoroidea (Table 1) [5].

Table 1.

Previous classification systems of Nepomorpha

Štys and Jansson 1988; Mahner 1993 Schuh and Slater 1995 Hebsgaard et al. 2004
Nepoidea Belostomatidae Belostomatidae Belostomatidae
Nepidae Nepidae Nepidae
Corixoidea Corixidae Corixidae Corixidae
Ochteroidea Ochteridae Ochteridae Ochteridae
Gelastocoridae Gelastocoridae Gelastocoridae
Notonectoidea Notonectidae Notonectidae Notonectidae
Pleidae
Helotrephidae
Pleoidea Pleidae Pleidae
Helotrephidae - Helotrephidae
Naucoridae Naucoridae Naucoridae Naucoridae
Potamocoridae Potamocoridae
Aphelocheiridae Aphelocheiridae
Aphelocheiridae - - Potamocoridae
Aphelocheiridae
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In these classification systems, the contents of Nepoidea, Corixoidea, and Ochteroidea are constant. Phylogenetic relationships proposed previously at the superfamily or family level within Nepomorpha are summarized in Figure 1. The works of China (1955) [6], Popov (1971) [7], Rieger (1976) [8], and Mahner (1993) [3] were based on morphological characters without algorithmic analysis. In their landmark work, Hebsgaard et al. (2004) reviewed these studies in detail and analyzed the phylogeny of Nepomorpha using molecular sequence data (partial sequence of 16S rDNA and 28S rDNA) combined with morphological data for the first time, raising a new superfamily Aphelocheiroidea as part of a new phylogenetic hypothesis (Figure 1E) [5].

Figure 1.

Figure 1

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Proposed phylogenetic hypotheses within Nepomorpha. A, after China (1955); B, after Popov (1971); C, after Rieger (1976); D, after Mahner (1993); E, after Hebsgaard et al. (2004).

Until now, the monophyly of each nepomorphan family, and the monophyly of superfamilies Nepoidea, Corixoidea, and Ochteroidea in Nepomorpha, have been generally accepted [3,5-8]. A close relationship between Pleidae and Helotrephidae has been supported by recent studies [3,5,7,8] and the monophyly of Aphelocheiridae + Potamocoridae was supported in the latest comprehensive study [5]. The phylogenetic relationships within Nepomorpha, however, have not reached full agreement. The unsolved problems are: 1) whether the Aphelocheiridae and Potamocoridae should be members of Naucoroidea or be raised as a separate superfamily Aphelocheiroidea; 2). whether the Pleidae and Helotrephidae should be members of Notonectoidea or be raised as a separate superfamily Pleoidea; 3) the phylogenetic relationships among the superfamilies.

The mitochondrial genome (mt-genome) is one of the largest sets of homologous genes which can be compared across animal taxa and has become an effective data source for resolving deep-level phylogenetic problems [9,10]. Within Insecta, more than one hundred mt-genomes are available now in GenBank/DDBJ/EMBL and mt-genomes have been shown to resolve intraordinal relationships, such as in Diptera [11], Hymenoptera [12], and Orthoptera [13]. There are many possible ways of using mt-genomes in phylogenetic analyses, for example by using different genes, amino acid sequences or nucleotide sequences. Using the nucleotide sequences of all available genes clearly has been shown to be the best way to extract a phylogenetic signal from mt-genomes [11,13].

Previous molecular data used for the analysis of nepomorphan relationships was about 1 kb [5] and no mt-genome data are available for any nepomorphan species. In this study, fourteen new mt-genomes were sequenced, nine of them belonging to the infraorder Nepomorpha (Table 2) (one mt-genome from our previous paper was also included in Table 2[14]). A preliminary phylogenetic framework of Nepomorpha is proposed using mt-genome data, and the relationships of Pleoidea and Aphelocheiroidea are analyzed.

Table 2.

General informatics of the taxa used in this study

Classification Species Mt-genome Completeness Size (bp) A+T % Accession Number
Archaeorrhyncha
  Fulgoroidea
   Fulgoridae Lycorma delicatula complete 15410 76.3 FJ456942
Heteroptera
 Gerromorpha
  Hydrometroidea
   Hydrometridae Hydrometra sp. complete 15416 78.7 FJ456945
  Gerroidea
   Gerridae Gerris sp. complete 15380 75.7 FJ456944
 Leptopodomorpha
  Leptopodoidea
   Leptopodidae Leptopus sp. tRNA(I) – 12S 14516 72.4 FJ456946
 Cimicomorpha
  Reduvioidea
   Reduviidae Valentia hoffmanni complete 15625 73.7 FJ456952
 Pentatomomorpha
  Coreoidea
   Rhopalidae Stictopleurus subviridis complete 15319 75.7 EU826088*
 Nepomorpha
  Ochteroidea
   Gelastocoridae Nerthra sp. complete 16079 74.2 FJ456943
   Ochteridae Ochterus marginatus tRNA(I) – 12S 14609 72.7 FJ456950
  Corixoidea
   Corixidae Sigara septemlineata complete 15724 75.2 FJ456941
  Notonectoidea
   Notonectidae Enithares tibialis complete 15262 76.1 FJ456949
  Nepoidea
   Belostomatidae Diplonychus rusticus tRNA(I) – 12S 14596 69.8 FJ456940
   Nepidae Laccotrephes robustus complete 15321 70.6 FJ456948
  Naucoroidea
   Naucoridae Ilyocoris cimicoides complete 15209 71.0 FJ456947
  Aphelocheiroidea
   Aphelocheiridae Aphelocheirus ellipsoideus tRNA(I) – 12S 14574 74.7 FJ456939
  Pleoidea
   Pleidae Paraplea frontalis complete 15130 76.5 FJ456951
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* From Hua et al. (2009) [14].

Results

General features of the fourteen mt-genomes of Hemiptera

Ten complete and four nearly complete mt-genomes of Hemiptera were sequenced (Table 2). Because of the polynucleotide regions, the control regions of the four incomplete mt-genomes were difficult to sequence. All mt-genomes are similar to the typical insect mt-genomes, containing the commonly found 37 genes in the same gene order as observed in Drosophila yakuba [GenBank: NC001322] [15]. No gene rearrangement or duplication has been found, indicating that the organizations of the mt-genomes in the suborder Heteroptera are more stable than those in the suborder Sternorrhyncha (Insecta: Hemiptera) [16]. Family names are used instead of the species names in following discussion for brevity since only a single representative was selected for each family.

Ten completely sequenced mt-genomes range in length from 15130 bp (Pleidae) to 16079 bp (Gelastocoridae). Lengths of the 37 coding genes of each mt-genome range from 14372 bp (Fulgoridae) to 14637 bp (Notonectidae), while the size of the control regions ranges from 608 bp (Pleidae) to 1450 bp (Gelastocoridae) (Table 3). Variance of the mt-genome size is mainly derived from the control region.

Table 3.

Statistics of the length and nucleotide composition of the genes

Taxa Lengths of total genes AT% of total genes Lengths of control region AT% of control region
Fulgoridae 14372 75.8 1043 83.3
Hydrometridae 14478 78.6 694 78.1
Gerridae 14616 73.1 781 66.2
Leptopodidae 14532 72.4 - -
Reduviidae 14570 73.8 724 69.9
Rhopalidae 14563 75.6 685 77.1
Gelastocoridae 14631 75.1 1450 65.4
Ochteridae 14601 72.7 - -
Corixidae 14504 75.4 772 76.7
Notonectidae 14637 76.3 646 70.4
Belostomatidae 14573 69.8 - -
Nepidae 14575 70.9 751 65.8
Naucoridae 14611 71.2 609 66.0
Aphelocheiridae 14582 74.8 - -
Pleidae 14559 76.5 608 75.0
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Nucleotide compositions of these mt-genomes are AT-biased (Table 3). Though the control regions of four mt-genomes were not completely sequenced, this biased trend is obvious even without the control region sequence. Interestingly, in most of the completely sequenced mt-genomes, the control regions are not the most AT-rich regions (Table 3), which has been found in other insect mt-genomes [15,17]

Intergenic spacers ranging from 14 bp (Corixidae) to 23 bp (Reduviidae) were found between tRNA-Ser(UCN) and ND1 in all mt-genomes except Fulgoridae. This spacer has also been reported in other insects and some conserved motifs were identified [18-20]. In the present study, no perfectly conserved motif was found but a conserved region was identified (see additional file 1). Additionally, a unique 222 bp intergenic spacer was found between tRNA-Gly and ND3 in Hydrometridae which lacks significant BLAST similarity (megablast in nucleotide collection). The exact origin and function of such spacers are unclear, but they may be the vestiges of pseudogenes generated by the gene duplication-random loss process of rearrangement [21]

Other features of these mt-genomes, including non-traditional start codons such as TTG of CO1 in Naucoridae and GTG of ND1 in Aphelocheiridae, incomplete stop codons T or TA, and absence of the DHU arm in the secondary structure of tRNA-Ser(GCU), are found commonly in insect mt-genomes [15,18,20,22-24].

Phylogenetic analyses

For the fifteen species, there are 14968 sites in the PCG123RT matrix (containing all three codon positions for protein coding genes (PCGs), plus the whole of the rRNA and tRNA genes), 11236 sites in the PCG12RT matrix (containing the first and the second codon positions of PCGs, plus the whole of the rRNA and tRNA genes), 11196 sites in the PCG123 matrix (containing all three codon positions of PCGs), and 7464 sites in the PCG12 matrix (containing the first and the second codon positions of PCGs). From Bayesian and ML inferences, these four matrices generated eight fully bifurcated trees with similar topology (Figure 2, Figure 3). The monophyletic Nepoidea and Ochteroidea were consistently recovered. The monophyly of the remaining nepomorphan superfamilies such as Pleoidea, Corixoidea, Notonectoidea, Naucoroidea, and Aphelocheiroidea could not be analyzed in this study as only a single representative was sampled. In all trees, the relationships within Nepomorpha were found to be constant. The Pleoidea (Pleidae) was recognized as the sister group of the clade including the infraorders Cimicomorpha (Reduviidae), Leptopodomorpha (Leptopodidae), Pentatomomorpha (Rhopalidae), and the remaining traditional Nepomorpha. Nepoidea and Ochteroidea were sister groups and this clade was found to be a sister group of Notonectoidea (Notonectidae) plus Naucoroidea (Naucoridae and Aphelocheiridae).

Figure 2.

Figure 2

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Bayesian phylograms inferred from PCG123RT, PCG12, PCG123, and PCG12 data sets. Bayesian posterior probabilities are indicated at each node.

Figure 3.

Figure 3

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ML phylograms inferred from PCG123RT, PCG12, PCG123, and PCG12 data sets. Bootstrap support values are indicated at each node.

Discussion

Mitochondrial genomes

The mt-genomes sequenced in this study are similar to the mt-genomes of other insects and contain very few novel features (see additional file 2 for the descriptions of these mt-genomes). It has been reported that the hemipteroid insects (including Hemiptera, Thysanoptera, Psocoptera, and Phthiraptera) have experienced increased rates of mt-genomic gene rearrangements [16,25-29]. Gene content and gene order of the mt-genomes sequenced in this study, however, are all the same as observed in Drosophila yakuba [GenBank: NC001322) [15] except for some unique intergenic spacers. In the present study, gene order provides no phylogenetic information.

Phylogenetic analyses

Mt-genomes provide abundant phylogenetic signal because they possess large sets of homologous genes. Multiple genes with increased sequence lengths are favorable for accurate phylogenetic analyses [30-32]. It has been shown that the best way to use mt-genomes in phylogenetic analyses is to combine all the coding genes and use nucleotide sequence data [13]. We used a data set consisting of all 37 genes (PCG123RT data set) to infer relationships within Nepomorpha. The PCG12RT, PCG123, and PCG12 data sets were analyzed to test the stability of the phylogenetic hypotheses to the inclusion of different portions of the data. Phylogenetic relationships among heteropteran infraorders are still controversial [33-36]. Taxon sampling for this study is too limited to analyze this problem in full and data for the infraorders Enicocephalomorpha and Dipsocoromorpha are not yet available. We focused on the phylogeny within infraorder Nepomorpha, especially relationships among superfamilies, using mt-genome sequences for the first time. Finally, five of the eight analyses inferred the same topology, with the remaining three tree resulting form less complete datasets (nucleotide substitution saturation analysis was also added in additional file 3) differing at a few nodes, which indicates that the mt-genome is an effective data source for resolving phylogenetic problems within Nepomorpha at the superfamily level. Because the ML and Bayesian algorithms are not sensitive to possible long-branch attraction and allow evolutionary modeling of the data [37-39], we do not think our hypotheses are artifacts.

The Problem of Pleoidea

The Pleoidea has been proposed to include Pleidae and Helotrephidae [3,5]. The mt-genome of Helotrephidae was not sequenced in this study. This family has been generally accepted as the sister group of Pleidae [3,5,7,8] except in the study of China (1955) [6].

Previous studies based on morphological characters, molecular data or combined data consistently support a monophyletic Nepomorpha [3,5-8]. In this study, however, a monophyletic Nepomorpha is supported by one analysis of the eight performed. In all previous studies, Pleoidea is the sister group of Notonectoidea [3,5,7,8] and has always been included in Notonectoidea [2]. A surprising, but strongly supported result from the mt-genome analysis was that Pleoidea is not part of Nepomorpha, but rather the sister group of the clade including Nepomorpha, Leptopodomorpha, Cimicomorpha, and Pentatomomorpha (Figure 2, Figure 3).

Based on these results we propose that the Pleoidea could be raised from a superfamily to the infraorder Plemorpha, and that the infraorder Nepomorpha consists of the remaining nepomorphans except Pleoidea. The phylogenetic position of the infraorder Plemorpha within suborder Heteroptera needs further study because mt-genome data from infraorders Enicocephalomorpha and Dipsocoromorpha are unavailable at the present time.

The Problem of Aphelocheiroidea

The recently proposed superfamily Aphelocheiroidea (including Aphelocheiridae and Potamocoridae) [5], which was considered as part of Naucoroidea by other researchers [2,3], was proposed to be the sister group of a clade consisting of Ochteroidea, Notonectoidea, and Naucoroidea [5]. In the present analysis, Aphelocheiridae and Naucoridae consistently formed a monophyletic clade with high data support (Figure 2, Figure 3). Although the mt-genome of Potamocoridae was not sequenced in this study, this family has been suggested to be the sister group of Aphelocheiridae [5], Naucoridae [8], Naucoridae + Aphelocheiridae [7], a subfamily within Naucoridae [6], or unresolved by Mahner (1993) [3]. Here we propose that the Aphelocheiroidea raised by Hebsgaard et al. (2004) [5] should be grouped within Naucoroidea again.

Phylogeny of "Nepomorpha"

The traditional infraorder Nepomorpha is not monophyletic and it should only contain Corixoidea, Nepoidea, Ochteroidea, Notonectoidea, and Naucoroidea. The superfamilies Nepoidea (including Nepidae and Belostomatidae) and Ochteroidea (including Ochteridae and Gelastocoridae) are monophyletic and sister-groups in all trees with high support, as is generally accepted [3,5-8]. Nepoidea has been considered as the most basal branch of Nepomorpha in previous studies [3,5,7,8]. The position of Ochteroidea varied between previous researchers [3,5-8]. Because of the novel position inferred for Pleoidea, the sister-group relationship between Pleoidea and Notonectoidea which has been consistently proposed [3,5-8] was not supported and Notonectoidea was inferred to be the sister group of Naucoroidea.

The placement of Corixoidea is very different from previous hypotheses. Traditionally, this superfamily was placed as the sister group of a clade composed of Naucoroidea, Ochteroidea, and Notonectoidea [3,5,7] or the sister group of a clade composed of Naucoroidea and Notonectoidea [6,8]. In our results, Corixoidea is always the most basal clade within Nepomorpha, with Naucoroidea, Notonectoidea, Ochteroidea, and Nepoidea forming a monophyletic group.

Furthermore, Lycorma delicatula (Insecta: Hemiptera: Archaeorrhyncha) was removed from the data sets and the phylogeny was re-analyzed with the same methods. Same position of Pleoidea and phylogenetic hypotheses within Nepomorpha could be drawn (see additional file 4). Finally, the infraorder Nepomorpha should consist of five superfamilies with the phylogenetic hypothesis of (Corixoidea + ((Naucoroidea + Notonectoidea) + (Ochteroidea + Nepoidea))).

Conclusion

Although previous studies based on morphological characters alone or combined with DNA sequence no longer than 1 kb confirmed the monophyly of Nepomorpha, the phylogenetic inference with the evidence from mitochondrial genomes in this study supports the raise of a separate infraorder Plemorpha which belonged to Nepomorpha before. The well-resolved nepomorphan phylogenetic relationships at superfamily level allow a better understanding of evolutionary patterns within this group and provide a robust framework for comparative studies of nepomorphans. The present study demonstrates the great effectiveness of mitochondrial genome for inferring phylogenetic relationships at superfamily level. Furthermore, this study also suggests the need of using multiple genes for future phylogenetic analyses of highly debated phylogenies.

Methods

According to the seven-superfamily system of Nepomorpha proposed by Hebsgaard et al. (2004) [5], the representatives of each superfamily were selected (Table 2). Representatives of the infraorders Gerromorpha, Leptopodomorpha, Cimicomorpha and Pentatomomorpha were also included (Table 2). A representative of the suborder Archaeorrhyncha (Insecta: Hemiptera), Lycorma delicatula (White), was chosen to root the trees.

A single individual of each species was preserved in 95% ethanol at -20°C and total genomic DNA was extracted using the method based on CTAB [40]. PCRs were performed with TaKaRa LA PCR Kit Ver.2.1 following the manufacturer's recommendations. The primers are listed in additional file 5. PCR products were electrophoresed in 0.7% agarose gel, purified, and then both strands were sequenced with primer walking by Beijing Sunbiotech Co. Ltd.

The complete sequences of each gene were used for phylogenetic analysis (excluding stop codons of the PCGs). All PCGs were aligned based on amino acid sequence alignments in MEGA version 4.0 [41]. The rRNAs and the tRNAs were aligned with CLUSTAL X version 1.83 [42] under the default settings. Ambiguously aligned regions of PCGs and rRNA genes were carefully adjusted by hand. Transfer RNA alignments were corrected according to secondary structure. The aligned sequences were concatenated as four matrices used in phylogenetic analyses: 1) The PCG123RT matrix, including all three codon positions of PCGs, rRNA genes, and tRNA genes; 2) the PCG12RT matrix, including the first and the second codon positions of PCGs, rRNA genes, and tRNA genes; 3) the PCG123 matrix, including all the three codon positions of PCGs; 4) the PCG12 matrix, including the first and the second codon positions of PCGs.

MrBayes Version 3.1.1 [43] and a PHYML online web server [44] were employed to reconstruct the phylogenetic trees under the GTR model. In Bayesian inference, two simultaneous runs of 3,000,000 generations were conducted for each matrix. Trees inferred prior to stationarity were discarded as burn-in, and the remaining trees were used to construct a 50% majority-rule consensus tree. In ML analysis, the parameters were estimated during analysis and the node support values were assessed by bootstrap resampling (BP) [45] calculated using 100 replicates.

Abbreviations

CO1, CO2, and CO3: were the abbreviations of cytochrome c oxidase subunit I, II, and III genes; CytB: cytochrome b gene; ATP6 and ATP8: ATP synthase F0 subunit 6 and 8 genes; ND1, ND2, ND3, ND4, ND4L, ND5, ND6: NADH dehydrogenase subunit 1–6 and 4L genes. Transfer RNA genes were labeled according to the IUPAC-IUB single letter code for the specified amino acid; in cases where there was more than one tRNA for a particular amino acid, they were distinguished by their anticodons. PCG: protein coding gene.

Authors' contributions

JH designed the experiments, carried out the data analyses and drafted the manuscript. ML, PD, and YC participated in the experiments and helped prepare the additional files. QX helped draft the manuscript. WB directed this study and revised the manuscript. All authors read and approved the final manuscript.

Supplementary Material

Additional file 1

Alignments of the conserved sequence blocks of the intergenic spacers between tRNA-S(TGA) and ND1. The data provided represent the alignments of the conserved sequence blocks of the intergenic spacers between tRNA-S(TGA) and ND1. The alignments were generated by plotting the identities to a standard as a dot, and a gap as a dash.

Click here for file (80.8KB, pdf)
Additional file 2

General information of the mt-genomes in this study. The data provided represent the putative secondary structure of tRNAs, codon usage in each mt-genome, and analyses of nucleotide compositions of each mt-genome.

Click here for file (2MB, pdf)
Additional file 3

Nucleotide substitution saturation analysis. The data provided represent the nucleotide substitution saturation analysis of different portions of datasets.

Click here for file (85.5KB, pdf)
Additional file 4

Bayesian and ML phylograms inferred from the data sets without Lycorma delicatula (Insecta: Hemiptera: Archaeorrhyncha). The data provided represent Bayesian and ML phylograms inferred from the data sets without Lycorma delicatula (Insecta: Hemiptera: Archaeorrhyncha).

Click here for file (1.2MB, pdf)
Additional file 5

Primers used in PCR. The data provided represent primers used in amplification of mt-genomes.

Click here for file (13.3KB, pdf)

Acknowledgments

Acknowledgements

We thank Profs. Shuzhi Ren, and Guoqing Liu, Nankai University, for identifying the species of Sigara septemlineata and Enithares tibialis. Thanks two reviewers for reviewing the manuscript and providing very helpful advices. Thanks review 2 for his very kind annotation of the manuscript to help us to revise it. This project was supported by the Natural Science Foundation of China (No. 30725005 and No. J0630963), and by the Ministry of Education of China (No. 20050055027).

Contributor Information

Jimeng Hua, Email: nkhuajimeng@163.com.

Ming Li, Email: tnliming@yahoo.com.cn.

Pengzhi Dong, Email: pengzhiryn@163.com.

Ying Cui, Email: cql8179270@126.com.

Qiang Xie, Email: qiangxie@nankai.edu.cn.

Wenjun Bu, Email: wenjunbu@nankai.edu.cn.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1

Alignments of the conserved sequence blocks of the intergenic spacers between tRNA-S(TGA) and ND1. The data provided represent the alignments of the conserved sequence blocks of the intergenic spacers between tRNA-S(TGA) and ND1. The alignments were generated by plotting the identities to a standard as a dot, and a gap as a dash.

Click here for file (80.8KB, pdf)
Additional file 2

General information of the mt-genomes in this study. The data provided represent the putative secondary structure of tRNAs, codon usage in each mt-genome, and analyses of nucleotide compositions of each mt-genome.

Click here for file (2MB, pdf)
Additional file 3

Nucleotide substitution saturation analysis. The data provided represent the nucleotide substitution saturation analysis of different portions of datasets.

Click here for file (85.5KB, pdf)
Additional file 4

Bayesian and ML phylograms inferred from the data sets without Lycorma delicatula (Insecta: Hemiptera: Archaeorrhyncha). The data provided represent Bayesian and ML phylograms inferred from the data sets without Lycorma delicatula (Insecta: Hemiptera: Archaeorrhyncha).

Click here for file (1.2MB, pdf)
Additional file 5

Primers used in PCR. The data provided represent primers used in amplification of mt-genomes.

Click here for file (13.3KB, pdf)

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