Abstract
Nowadays, the position of Peltoperlidae in Systellognatha has been resolved based on morphological analyses. However, there are different opinions based on molecular data. To date, only three peltoperlid mitogenomes are available, and more sampling is needed to obtain precise phylogenetic relationships. In this study, we obtained the complete mitogenomes of Cryptoperla kawasawai (15,832 bp) and Peltoperlopsis sagittata (15,756 bp). Our results show that gene content, gene order, DmTTF binding site, nucleotide composition, codon usage, ribonucleic acid (RNA) structure, and structural elements in the control region are highly conserved in peltoperlids. Heatmap analysis of codon usage shows that the AT-rich codons UUA, AUU, UUU, and AUA were commonly used codons in the Peltoperlidae. Evolutionary rate analyses of protein-coding genes reveal that different genes have been subject to different rates of molecular evolution correlated with the GC content. All tRNA genes in peltoperlid mitogenomes have a canonical cloverleaf secondary structure except for trnS1, whose dihydrouridine arm simply forms a loop. The control region of the family has several distinct structural characteristics and has the potential to serve as effective phylogenetic markers. Phylogenetic analyses support the monophyly of Perloidea, but the monophyly of Pteronarcyoidea is still not supported. The Peltoperlidae is placed as the earliest branch within the Systellognatha, and the estimated phylogenetic relationship is: Peltoperlidae + {(Styloperlidae + Pteronarcyidae) + [Perlidae + (Chloroperlidae + Perlodidae)]}. Our results provide new insight into the phylogeny of this group.
Introduction
The Plecoptera, also called stoneflies, are a small order of hemimetabolous insects of about 4,000 species worldwide (). Because their nymphs dwell in aquatic habitats and are very sensitive to water quality, stoneflies can be used as monitors of healthy streams and rivers (). Stoneflies have a low level of vagility, making them ideal for biogeographic and phylogeographic research (; ; ; ). But the phylogenetic position of Plecoptera has long been under debate. Previously phylogenetic studies have indicated that Plecoptera is closely related to different insect taxa (). However, more conflicting hypotheses have been proposed by morphological evidence and the sister group of Plecoptera is still inconclusive (; ; ; ; ; ).
Several phylogenetic clades have been defined for Plecoptera, one of which is the infraorder Systellognatha. According to the morphological study of Zwick (2000), six extant families (Chloroperlidae, Perlidae, Perlodidae, Peltoperlidae, Pteronarcyidae, and Styloperlidae) in two superfamilies (Pteronarcyoidea and Perloidea) are included in Systellognatha. Recently, one new family (Kathroperlidae) was added to the superfamily Perloidea (). Finally, the infraorder includes seven families. Based on morphological evidence, Zwick (2000) reconstructed the broadly accepted phylogenetic relationship within Plecoptera. However, the phylogeny of Systellognatha remains debatable to date. As summarized in Figure 1, most studies placed Perloidea as a monophyletic group, but the monophyly of Pteronarcyoidea was not well supported. Meanwhile, the relationship among Perloidea was undetermined based on morphological data (Zwick, 2000), while it was recovered as Perlidae + (Chloroperlidae + Perlodidae) by most studies based on the mitochondrial genome (mitogenome) and transcriptome data (; , ; Veale et al., 2019; Wang et al., 2019; ,; ). These results generated by mitogenome and transcriptome data are inconsistent with those by single or multiple genes and other transcriptome data (Thomas et al., 2000; ; ). Therefore, the phylogeny of Systellognatha remains controversial, and more phylogenetic studies are needed.
FIGURE 1
Peltoperlidae is one of the smallest families of Plecoptera with approximately 50 species distributed in the Nearctic, Palearctic, and Oriental regions (Zwick, 2000;
A well-constructed molecular phylogeny could substantially benefit the understanding of evolutionary relationships of major lineages and morphological character evolution, as in this case, resolving superfamily monophyly and the phylogenetic relationships within the Systellognatha. Complete mitogenomes contain more useful evolutionary information than single or multiple genes and have been widely used to investigate insect relationships at different taxonomic scales (
So far, there are approximately forty complete or near complete systellognathan mitogenomes available in GenBank, of which only nine species belong to Pteronarcyoidea. In this study, two complete mitogenomes from the family Peltoperlidae [Cryptoperla kawasawai Maruyama, 2002 and Peltoperlopsis sagittata (
Materials and methods
Specimens, deoxyribonucleic acid extraction, and sequencing
Adult male specimens of C. kawasawai were collected from Kumakogen town (Ehime Prefecture, Japan; May, 2016) and of P. sagittata from Gaoligong Mountain (Yunnan Provence, China; July, 2016). Before this study, all samples were stored in 100% alcohol and maintained at −20°C. Total genomic deoxyribonucleic acid (DNA) was extracted from the thoracic muscle using the DNeasy tissue kit (Qiagen, Hilden, Germany). NanoDrop One (Thermo Scientific, Waltham, MA, United States) was used to measure the DNA concentration for each sample. DNA samples with qualified concentration (>10 μg) were sent to Berry Genomics Co., Ltd. (Beijing, China) for further detecting. From the genomic DNA, an Illumina TruSeq library with an insert size of 480 bp was generated. The de novo genome sequencing was conducted on an Illumina Hiseq 2500 platform with 500 cycles of paired-end sequencing (250 bp reads).
Sequence assembly, annotation, and analyses
Trimmomatic v0.30 (
TABLE 1
| Superfamily | Family | Species | Number (bp) | Accession number |
| Perloidea | Perlidae | Acroneuria hainana | 15,804 | NC_026104 |
| Acroneuria carolinensis | 15,718 | MN969989 | ||
| Caroperla siveci | 15,353 | MG677942 | ||
| Calineuria stigamata | 15,070 | MG677941* | ||
| Flavoperla hatakeyamae | 15,730 | MN821010 | ||
| Flavoperla sp. | 15,796 | MN419916 | ||
| Flavoperla biocellata | 15,805 | MK905206* | ||
| Niponiella limbatella | 15,924 | MK686067 | ||
| Sinacroneuria dabieshana | 15,752 | MK492253 | ||
| Claassenia sp. | 15,774 | MN419914 | ||
| Dinocras cephalotes | 15,666 | NC_022843 | ||
| Kamimuria chungnanshana | 15,943 | NC_028076 | ||
| Kamimuria klapaleki | 16,077 | MN400755 | ||
| Kamimuria wangi | 16,179 | NC_024033 | ||
| Paragnetina indentata | 15,885 | MN627431 | ||
| Neoperla sp. | 15,667 | KX091859* | ||
| Togoperla limbata | 15,915 | MN969990 | ||
| Togoperla sp. | 15,723 | KM409708 | ||
| Perlodidae | Isoperla bilineata | 15,048 | MF716959 | |
| Isoperla eximia | 16,034 | MG910457 | ||
| Perlodes sp. | 16,039 | MF197377 | ||
| Pseudomegarcys japonica | 16,067 | MG910458 | ||
| Chloroperlidae | Haploperla japonica | 16,012 | OL351265 | |
| Sweltsa sp. | 15,893 | OL351266 | ||
| Suwallia errata | 16,146 | MF198253 | ||
| Suwallia bimaculata | 16,125 | MN121757 | ||
| Pteronarcyoidea | Peltoperlidae | Cryptoperla stilifera | 15,633 | KC952026* |
| Peltoperlopsis cebuano | 15,790 | MK387068 | ||
| Soliperla sp. | 15,877 | MF716958 | ||
| Microperla geei | 15,216 | MN096323 | ||
| Cryptoperla kawasawai | 15,832 | ON854136 | ||
| Peltoperlopsis sagittata | 15,756 | ON854137 | ||
| Pteronarcyidae | Pteronarcys princeps | 16,004 | NC_006133 | |
| Pteronarcella badia | 15,585 | NC_029248 | ||
| Styloperlidae | Styloperla sp. | 15,416 | KR088971* | |
| Styloperla spinicercia | 16,129 | KX845569 | ||
| Cerconychia flectospina | 15,188 | MF100783* | ||
| Nemouroidea (Outgroup) | Leuctridae | Paraleuctra cercia | 15,625 | MK492251 |
| Perlomyia isobeae | 15,795 | MK492252 |
List of taxa used in this research.
*Incomplete mitochondrial genome sequence.
Phylogenetic analyses
To analyze the phylogenetic relationships among Systellognatha, thirty-seven systellognathan mitogenomes were involved in our phylogenetic analysis. Two leuctrid mitogenomes (Paraleuctra cercia and Perlomyia isobeae) from infraorder Euholognatha were used as outgroups (Table 1). Two datasets were assembled for phylogenetic analyses: (1) the “PCG matrix” (10,971 bp), including 13 PCGs; (2) the “13 PCGs and two rRNAs (PCGRNA) matrix” (12,750 bp), including 13 PCGs and two rRNAs. PCGs were aligned independently using the MAFFT algorithm within the TranslatorX online platform (
Phylogenetic analyses were conducted using maximum likelihood (ML) and Bayesian inference (BI). The best-fit model for each dataset was determined using ModelFinder applying the Akaike Information Criterion (AIC) (
Results and discussion
General features of mitogenomes
We successfully obtained two complete mitogenomes of the family Peltoperlidae and submitted the sequences to GenBank (accession numbers: ON854136-ON854137). The genome sizes were 15,832 bp (C. kawasawai) and 15,756 bp (P. sagittata), respectively (Supplementary Tables 1, 2 and Figure 2). The gene order and content of two mitogenomes were typical of Plecoptera (
FIGURE 2

Mitochondrial maps of Cryptoperla kawasawai and Peltoperlopsis sagittata. The direction of gene transcription is indicated by the arrows. tRNA genes are labeled according to single-letter International Union of Pure and Applied Chemistry-International Union of Biochemistry (IUPAC-IUB) abbreviations (L1, UUR; L2, CUN; S1, AGN; S2, UCN).
TABLE 2
| Region | Feature | CK | CS | MG | PC | PS | SS |
| Whole mitogenomes | Size (bp) | 15,832 | 15,633 | 15,216 | 15,790 | 15,756 | 15,877 |
| A + T% | 68.5 | 69.3 | 68.3 | 69.4 | 68.3 | 69.8 | |
| AT-skew | 0.082 | 0.079 | 0.082 | 0.049 | 0.094 | 0.064 | |
| GC-skew | −0.282 | −0.264 | −0.230 | −0.286 | −0.327 | −0.255 | |
| PCGs | Size (bp) | 11,229 | 11,208 | 11,226 | 11,229 | 11,229 | 11,232 |
| A + T% | 66.8 | 67.6 | 68.1 | 67.8 | 66.3 | 68.0 | |
| AT-skew | −0.161 | −0.160 | −0.171 | −0.177 | −0.164 | −0.161 | |
| GC-skew | −0.048 | −0.018 | −0.021 | −0.026 | −0.060 | −0.033 | |
| PCGs-J | Size (bp) | 6,906 | 6,897 | 6,906 | 6,903 | 6,906 | 6,909 |
| A + T% | 64.7 | 65.9 | 66.5 | 65.8 | 64.7 | 66.2 | |
| AT-skew | −0.068 | −0.068 | −0.077 | −0.109 | −0.068 | −0.091 | |
| GC-skew | −0.258 | −0.219 | −0.196 | −0.240 | −0.258 | −0.223 | |
| PCGs-N | Size (bp) | 4,323 | 4,311 | 4,320 | 4,326 | 4,323 | 4,323 |
| A + T% | 70.1 | 70.4 | 70.6 | 70.9 | 70.1 | 70.7 | |
| AT-skew | −0.299 | −0.298 | −0.311 | −0.275 | −0.299 | −0.267 | |
| GC-skew | 0.348 | 0.351 | 0.298 | 0.375 | 0.348 | 0.315 | |
| tRNAs | Size (bp) | 1,480 | 1,479 | 1,467 | 1,484 | 1,482 | 1,477 |
| A + T% | 70.0 | 70.9 | 69.7 | 70.5 | 71.9 | 70.5 | |
| AT-skew | −0.012 | −0.034 | 0.003 | 0.000 | 0.002 | 0.004 | |
| GC-skew | 0.185 | 0.167 | 0.131 | 0.142 | 0.154 | 0.125 | |
| tRNAs-J | Size (bp) | 941 | 945 | 935 | 939 | 941 | 937 |
| A + T% | 71.3 | 72.4 | 70.7 | 70.9 | 71.3 | 71.4 | |
| AT-skew | 0.028 | 0.033 | 0.041 | 0.032 | 0.028 | 0.022 | |
| GC-skew | 0.081 | 0.025 | 0.000 | 0.010 | 0.081 | 0.022 | |
| tRNAs-N | Size (bp) | 539 | 537 | 532 | 545 | 539 | 540 |
| A + T% | 67.7 | 69.5 | 68.0 | 69.7 | 67.7 | 69.1 | |
| AT-skew | −0.085 | −0.099 | −0.066 | −0.059 | −0.085 | −0.029 | |
| GC-skew | 0.345 | 0.366 | 0.341 | 0.360 | 0.345 | 0.293 | |
| rRNAs | Size (bp) | 2,143 | 2,117 | 2,118 | 2,143 | 2,143 | 2,140 |
| A + T% | 71.9 | 72.8 | 72.6 | 72.0 | 71.9 | 72.6 | |
| AT-skew | −0.121 | −0.135 | −0.142 | −0.089 | −0.121 | −0.127 | |
| GC-skew | 0.372 | 0.360 | 0.321 | 0.393 | 0.372 | 0.328 | |
| CR | Size (bp) | 938 | 777 | >393 | 914 | 901 | 1,013 |
| A + T% | 78.5 | 80.2 | – | 81.1 | 77.9 | 81.6 | |
| AT-skew | 0.084 | 0.025 | – | 0.018 | 0.103 | 0.100 | |
| GC-skew | −0.188 | −0.172 | – | −0.237 | −0.327 | −0.311 |
Structural features of the mitochondrial genomes across six species of family Peltoperlidae.
PCGs-J, PCGs encoded by the majority strand; PCGs-N, PCGs encoded by the minority strand; CR, control region; CK, Cryptoperla kawasawai; CS, C. stilifera; MG, Microperla geei; PC, Peltoperlopsis cebuano; PS, P. sagittata; SS, Soliperla sp.
Gene overlaps and spacers were presented in several conserved positions in the peltoperlid mitogenomes, such as trnI-trnQ (3 bp), trnW-trnC (−8 bp), COI-trnL2 (−5 bp), ATP8-ATP6 (−7 bp), ND4-ND4L (−7 bp), ND4L-trnT (2 bp), etc (Supplementary Table 3). In Drosophila melanogaster, two conserved non-coding intergenic regions (trnE-trnF and trnS2-ND1) have been considered to be bidirectional transcription termination factor (DmTTF) binding sites (
Nucleotide composition
The nucleotide compositional behavior of mitogenomes can be analyzed by A + T content, AT skew, and GC skew (
The nucleotide compositions were all strongly skewed away from T in favor of A (the AT-skews were from 0.049 to 0.094) and from G in favor of C (the GC-skews were from −0.230 to −0.327) (Table 2). In most metazoan mitogenomes, the strand skew biases are found to be weakly positive AT-skew and strongly negative GC-skew for the J-strand (
Protein-coding genes
We detected 13 protein-coding genes in two newly sequenced mitogenomes. Similar to other peltoperlid mitogenomes, nine PCGs were encoded on the majority strand (J-strand), and the remaining four PCGs were encoded on the minority strand (N-strand) (Figure 2). Six out of thirteen PCGs (COI, ND1, ND2, ND4, ND5, and ND6) differed in size among the six peltoperlid species (Supplementary Table 4). But in general, the length variation in those genes was limited.
Most PCGs in six peltoperlid species initiated with a typical ATN codon, while ND2 in Peltoperlopsis cebuano initiated with GTG, ND5 in five peltoperlids (one exception: Soliperla sp.) started with GTG, and ND1 in all peltoperlids initiated with TTG (Supplementary Table 4). Most PCGs terminated with the canonical TAA/TAG stop codon in six peltoperlid species. The incomplete stop codon T was found in COII and ND5 genes in most of the six peltoperlid mitogenomes (Supplementary Table 4). These incomplete codons may be the product of the selective pressure to economize the mitogenome size and are presumed to be completed via post-transcriptional polyadenylation (
In our study, a heatmap was used to visualize codon usage for the 13 PCGs available in the Peltoperlidae, with the color representing the frequency of codon usage (Figure 3). Within peltoperlids, similar but slightly different patterns were observed. Heatmap analysis showed that the AT-rich codons UUA, AUU, UUU, and AUA were commonly used codons in the Peltoperlidae. Similarly, the biased use of A + T nucleotides was reflected in the codon frequencies. The dendrogram based on codon usage showed a close relationship between C. kawasawai and the clade of Soliperla sp. plus Cryptoperla stilifera, and P. sagittata is the earliest branch within Peltoperlidae. The monophyly of Cryptoperla and Peltoperlopsis was not supported.
FIGURE 3

Heatmap of codon usage for protein-coding genes in Peltoperlidae. Red and blue in the heatmap indicate high and low absolute correlation, respectively. The species in the rows of the heat map are sorted by the corresponding cluster tree based on codon usage. The columns indicate 64 codons of the invertebrate mitochondrion.
To better investigate the evolutionary patterns across the 13 PCGs in peltoperlid species, the values of Ka (rates of non-synonymous mutations), Ks (rates of synonymous mutations), and the ratio of Ka/Ks (ω) were calculated for each PCG, respectively (Figure 4). In all PCGs, COIII had the highest Ks, whereas ND6 had the highest Ka and ω values. The ω values for 13 PCGs were far lower than 1 (<0.40), indicating the existence of purifying selection in these genes (
FIGURE 4

Evolutionary rates of 13 protein-coding genes in the mitochondrial genomes of six peltoperlid species. The left Y-axis provides the substitution rate of the mitochondrial gene, while the right Y-axis provides the G + C content.
Transfer and ribosomal ribonucleic acids
All tRNA genes in six peltoperlid species showed classical cloverleaf structures except for trnS1, whose dihydrouridine (DHU) arm simply formed a loop (Figure 5). The lack of a DHU arm in trnS1 was also found in sequenced stonefly mitogenomes, and this phenomenon has been considered a typical feature of metazoan mitochondrial DNA (
FIGURE 5

Putative secondary structures of tRNAs found in the Cryptoperla kawasawai mitogenome. Completely conserved sites within the six peltoperlid species were marked by black nucleotides within gray spheres. Inferred Watson–Crick bonds are illustrated by lines, whereas guanine–uracil (GU) bonds are illustrated by dots.
We calculated the percentage of identical nucleotides (%INUC) for each tRNA family of the six peltoperlid mitogenomes (Supplementary Table 5). The%INUC ranged from 54.2% in trnH to 88.7% in trnK, with an average of 72.8%. Eleven tRNAs displayed high levels of conservation (%INUC ≥ 75.0%). Nucleotides in the stems and loops of the tRNAs were relatively conserved (>70%). The most conserved site was the anticodon (AC) loop with an average of 96.1%, and the most variable region was the TψC loop (with an average of 33.2%). In addition, the conservation of each stem, with the exception of the AC loop, was always higher than that of its corresponding loop.
As in the inferred ancestral insect mitogenome pattern, the two rRNA genes were usually separated by a single trnV gene. The lengths of lrRNA in the two newly sequenced mitogenomes were 1,334 and 1,344 bp, and the lengths of srRNA were 809 and 796 bp, respectively (Supplementary Tables 1, 2). The multiple alignments of peltoperlid lrRNAs had 1382 positions and contained 837 conserved positions (60.6%), 518 nucleotide substitutions (37.5%), and 27 indels (1.9%), respectively. The multiple alignments of peltoperlid srRNAs possessed 822 positions and contained 491 conserved positions (59.7%), 319 nucleotide substitutions (38.8%), and 12 indels (1.5%), respectively (Supplementary Figure 2).
The control region
The control region is located between srRNA and trnI, including the origin of replication and promoters for transcription initiation (Zhang et al., 1995). A comparison of the control region sequences of six peltoperlid species revealed a few structural elements: (1) a leading sequence adjacent to srRNA with high AT content; (2) one or two tandem repeated sequence blocks consisting of repeat units; (3) the remainder of the control region (Figure 6).
FIGURE 6

Control region structure of six peltoperlid species. TR, tandem repeat.
Large tandem repeats with two or more copies were detected in all control region sequences examined here. The size and copy number of the repeat unit are different in six peltoperlids, and the size variation of the control region is largely caused by this discrepancy. Overall, the control region of the family exhibited a number of distinctive structural and evolutionary characteristics, such as variable size, conserved structural elements, and abundant tandem repetitions. These properties made this region an effective phylogenetic marker for evolutionary and population genetic studies.
Molecular phylogeny
Two datasets (PCG and PCGRNA) were used in the present analyses. The phylogenetic trees generated from BI and ML inferences had identical topologies based on different datasets (Figure 7). Our results showed support values were higher in the BI tree than in the ML tree using the same dataset. All phylogenetic analyses supported the monophyly of each family, although some nodes have lower bootstrap values (BP).
FIGURE 7

Phylogenetic tree of the thirty-nine sequenced stoneflies. Bayesian inference and Maximum Likelihood analysis inferred from Protein-coding gene (PCG) and 13 PCGs and two rRNAs (PCGRNA) datasets supported the same topological structure. Values at nodes are ML bootstrap values and Bayesian posterior probabilities using the PCG (up) and PCGRNA (down) datasets. The tree was rooted with two outgroups (Paraleuctra cercia and Perlomyia isobeae).
The monophyly of two superfamilies, namely, Perloidea and Pteronarcyoidea are widely accepted and supported by morphological data (Zwick, 2000). However, this has never been well–supported by molecular evidence, especially the monophyly of Pteronarcyoidea (Thomas et al., 2000;
The phylogenetic position of Peltoperlidae has long been under debate. Based on synapomorphic reduction of gills and abdominal ganglia, Zwick (1973) placed Peltoperlidae as sister to Perloidea.
Unfortunately, the monophyly of Pteronarcyoidea was still not supported in this study. The Peltoperlidae was placed as the earliest branch within the Systellognatha, and all analyses generated the same relationships within Pteronarcyoidea [the relationship is Peltoperlidae + ((Styloperlidae + Pteronarcyidae) + Perloidea)]. These relationships are well-supported by BI analyses (PP ≥ 0.98). However, the posterior probabilities on some nodes are very low (PP = 0.37–0.52), and relationships within Pteronarcyoidea are still not exactly solved. Although this result differs from the generally accepted hypothesis that the Pteronarcyoidea are monophyletic (Zwick, 2000), no molecular study has proposed this relationship until now. Our results provide new insight into the phylogeny of this group, and analyses with more systellognathan taxa in future studies are needed to test the conclusion from the present study.
Conclusion
In this study, two complete mitogenomes from the family Peltoperlidae (C. kawasawai and P. sagittata) were sequenced. We present the comparative analysis of six peltoperlid mitogenomes and our results show that gene content, gene order, DmTTF binding site, nucleotide composition, codon usage, RNA structure, and structural elements in the control region are highly conserved in peltoperlids. Phylogenetic relationships within Systellognatha support the monophyly of Perloidea, but the monophyly of Pteronarcyoidea is still not supported. Sequencing more mitogenomes representing various taxonomic levels will greatly improve our understanding of phylogenetic relationships in Systellognatha.
Statements
Data availability statement
The datasets presented in this study can be found in online repositories and the study is deposited in the NCBI repository with accession numbers: ON854136 and ON854137.
Author contributions
YW, JC, and WL conceived and designed the study and critically revised the manuscript. YW, JC, XG, and CG performed the experiments. YW and JC analyzed the data. YW and WL drafted the manuscript. WL and DM helped in the study design. All authors contributed to the article and approved the submitted version.
Funding
This study was supported by the Program for Science and Technology Innovation Talents in Universities of Henan (No. 21HASTIT042), the Key Scientific Research Project of Henan Province (Nos. 21A210009 and 22A210004), and the National Natural Science Foundation of China (Nos. 31801999 and 31970402).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fevo.2022.979847/full#supplementary-material
References
1
AbascalF.ZardoyaR.TelfordM. J. (2010). TranslatorX: Multiple alignment of nucleotide sequences guided by amino acid translations.Nucleic Acids Res.387–13. 10.1093/nar/gkq291
2
BarrC. M.NeimanM.TaylorD. R. (2005). Inheritance and recombination of mitochondrial genomes in plants, fungi and animals.New Phytol.16839–50. 10.1111/j.1469-8137.2005.01492.x
3
BeckenbachA. T. (2012). Mitochondrial genome sequences of Nematocera (lower Diptera): Evidence of rearrangement following a complete genome duplication in a winter crane fly genome.Genome Biol. Evol.489–101. 10.1093/gbe/evr131
4
BeckenbachA. T.StewartJ. B. (2009). Insect mitochondrial genomics 3: The complete mitochondrial genome sequences of representatives from two Neuropteroid orders: A dobsonfly (order Megaloptera) and a giant lacewing and an owlfly (order Neuroptera).Genome5231–38. 10.1139/G08-098
5
BensonG. (1999). Tandem repeats finder: A program to analyze DNA sequences.Nucleic Acids Res.27573–580. 10.1093/nar/27.2.573
6
BerntM.DonathA.JühlingF.ExternbrinkF.FlorentzC.FritzschG.et al (2013). MITOS: Improved de novo metazoan mitochondrial genome annotation.Mol. Phylogenet. Evol.69313–319. 10.1016/j.ympev.2012.08.023
7
BooreJ. L. (1999). Animal mitochondrial genomes.Nucleic Acids Res.271767–1780. 10.1093/nar/27.8.1767
8
CameronS. L. (2014). Insect mitochondrial genomics: Implications for evolution and phylogeny.Annu. Rev. Entomol.5995–117. 10.1146/annurev-ento-011613-162007
9
CameronS. L.WhitingM. F. (2008). The complete mitochondrial genome of the tobacco hornworm, Manduca sexta, (Insecta: Lepidoptera: Sphingidae), and an examination of mitochondrial gene variability within butterflies and moths.Gene408112–123. 10.1016/j.gene.2007.10.023
10
CaoJ. J.WangY.LiW. H. (2019). Comparative mitogenomic analysis of species in the subfamily Amphinemurinae (Plecoptera: Nemouridae) reveal conserved mitochondrial genome organization.Int. J. Biol. Macromol.138292–301. 10.1016/j.ijbiomac.2019.07.087
11
CaoJ. J.WangY.GuoX.WangG. Q.LiW. H.MurányiD. (2021). Two complete mitochondrial genomes from Leuctridae (Plecoptera: Nemouroidea): Implications for the phylogenetic relationships among stoneflies.J. Insect Sci.211–6. 10.1093/jisesa/ieab009
12
CarapelliA.VanniniL.NardiF.BooreJ. L.BeaniL.DallaiR.et al (2006). The mitochondrial genome of the entomophagous endoparasite Xenos vesparum (Insecta: Strepsiptera).Gene376248–259. 10.1016/j.gene.2006.04.005
13
CastresanaJ. (2000). Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis.Mol. Biol. Evol.17540–552. 10.1093/oxfordjournals.molbev.a026334
14
ChenZ. T.ZhaoM. Y.XuC.DuY. Z. (2018). Molecular phylogeny of Systellognatha (Plecoptera: Arctoperlaria) inferred from mitochondrial genome sequences.Int. J. Biol. Macromol.111542–547. 10.1016/j.ijbiomac.2018.01.065
15
CuroleJ. P.KocherT. D. (1999). Mitogenomics: Digging deeper with complete mitochondrial genomes.Trends Ecol. Evol.14394–398. 10.1016/S0169-5347(99)01660-2
16
DavisN. G. (2013). Application Of Next-Generation Transcriptomic Tools For Non-Model Organisms: Gene Discovery And Marker Development Within Plecoptera (Insecta). Ph.D. thesis, Provo: Brigham Young University, 4265.
17
DeWaltR. E.MaehrM. D.HopkinsH.Neu-BeckerU.StueberG. (2022). Plecoptera species file online. Version 5.0/5.0. Available Online at: http://Plecoptera.SpeciesFile.org(accessed July 5, 2022).
18
DingS. M.LiW. H.WangY.CameronS. L.MurányiD.YangD. (2019). The phylogeny and evolutionary timescale of stoneflies (Insecta: Plecoptera) inferred from mitochondrial genomes.Mol. Phylogenet. Evol.135123–135. 10.1016/j.ympev.2019.03.005
19
DotsonE. M.BeardC. B. (2001). Sequence and organization of the mitochondrial genome of the Chagas disease vector, Triatoma dimidiate.Insect Mol. Biol.10205–215. 10.1046/j.1365-2583.2001.00258.x
20
DowtonM.CameronS. L.AustinA. D.WhitingM. F. (2009). Phylogenetic approaches for the analysis of mitochondrial genome sequences data in the Hymenoptera–A lineage with both rapidly and slowly evolving mitochondrial genomes.Mol. Phylogenet. Evol.52512–519. 10.1016/j.ympev.2009.04.001
21
FennJ. D.SongH.CameronS. L.WhitingM. F. (2008). A preliminary mitochondrial genome phylogeny of Orthoptera (Insecta) and approaches to maximizing phylogenetic signal found within mitochondrial genome data.Mol. Phylogenet. Evol.4959–68. 10.1016/j.ympev.2008.07.004
22
FochettiR.Tierno de FigueroaJ. M. (2008). Global diversity of stoneflies (Plecoptera: Insecta) in freshwater.Hydrobiologia595365–377. 10.1007/s10750-007-9031-3
23
GrantJ. R.StothardP. (2008). The CGView server: A comparative genomics tool for circular genomes.Nucleic Acids Res.36W181–W184. 10.1093/nar/gkn179
24
HassaninA.LégerN.DeutschJ. (2005). Evidence for multiple reversals of asymmetric mutational constraints during the evolution of the mitochondrial genome of Metazoa, and consequences for phylogenetic inferences.Syst. Biol.54277–298. 10.1080/10635150590947843
25
IlliesJ. (1965). Phylogeny and zoogeography of the Plecoptera.Annu. Rev. Entomol.10117–140. 10.1146/annurev.en.10.010165.001001
26
KatohK.StandleyD. M. (2013). MAFFT multiple sequence alignment software version 7: Improvements in performance and usability.Mol. Biol. Evol.30772–780. 10.1093/molbev/mst010
27
Kukalová-PeckJ.BrauckmannC. (1992). Most paleozoic Protorthoptera are ancestral hemipteroids: Major wing braces as clues to a new phylogeny of Neoptera (Insecta).Can. J. Zool.702452–2473. 10.1139/z92-330
28
LavrovD. V.BrownW. M.BooreJ. L. (2004). Phylogenetic position of the Pentastomida and (pan) crustacean relationships.Proc. Biol. Sci.271537–544. 10.1098/rspb.2003.2631
29
LetschH.SimonS. (2013). Insect phylogenomics: New insights on the relationships of lower neopteran orders (Polyneoptera).Syst. Entomol.38783–793. 10.1111/syen.12028
30
LiH.LiuH. Y.SongF.ShiA. M.ZhouX. G.CaiW. Z. (2012). Comparative Mitogenomic analysis of damsel bugs representing three tribes in the family Nabidae (Insecta: Hemiptera).PLoS One7:e45925. 10.1371/journal.pone.0045925
31
LibradoP.RozasJ. (2009). DnaSP v5: A software for comprehensive analysis of DNA polymorphism data.Bioinformatics251451–1452. 10.1093/bioinformatics/btp187
32
LinC. P.ChenM. Y.HuangJ. P. (2010). The compete mitochondrial genome and phylogenomics of a damselfly Euphaea formosa support a basal Odonata within the Pterygota.Gene46820–29. 10.1016/j.gene.2010.08.001
33
LindahlT. (1993). Instability and decay of the primary structure of DNA.Nature362709–715. 10.1038/362709a0
34
LohseM.BolgerA. M.NagelA.FernieA. R.LunnJ. E.StittM.et al (2012). RobiNA: A user-friendly, integrated software solution for RNA-Seq based transcriptomics.Nucleic Acids Res.40W622–W627. 10.1093/nar/gks540
35
McCullochG. A.WallisG. P.WatersJ. M. (2016). A time-calibrated phylogeny of southern hemisphere stoneflies: Testing for Gondwanan origins.Mol. Phylogenet. Evol.96150–160. 10.1016/j.ympev.2015.10.028
36
MisofB.LiuS.MeusemannK.PetersR. S.DonathA.MayerC.et al (2014). Phylogenomics resolves the timing and pattern of insect evolution.Science346763–767. 10.1126/science.1257570
37
MoR. R.WangY.CaoJ. J.WangG. Q.LiW. H.MurányiD. (2022). Two complete mitochondrial genomes of the subfamily Chloroperlinae (Plecoptera: Chloroperlidae) and their phylogenetic implications.Arthropod Syst. Phylo.80155–168. 10.3897/asp.80.e78173
38
NguyenL. T.SchmidtH. A.von HaeselerA.MinhB. Q. (2015). IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.Mol. Biol. Evol.32268–274. 10.1093/molbev/msu300
39
OjalaD.MontoyaJ.AttardiG. (1981). tRNA punctuation model of RNA processing in human mitochondria.Nature290470–474. 10.1038/290470a0
40
PengY.LeungH. C. M.YiuS. M.ChinF. Y. L. (2012). IBDA-UD: A de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.Bioinformatics281420–1428. 10.1093/bioinformatics/bts174
41
PernaN. T.KocherT. D. (1995). Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes.J. Mol. Evol.41353–358. 10.1007/BF00186547
42
PessinoM.ChabotE. T.GiordanoR.DeWaltR. E. (2014). Refugia and postglacial expansion of Acroneuria frisoni Stark & Brown (Plecoptera: Perlidae) in North America.Freshw. Sci.33232–249. 10.1086/675306
43
RickerW. E. (1952). Systematic Studies in Plecoptera, Indiana University Publications Science Series 18.Bloomington: Indiana University Press.
44
RoquesS.FoxC. J.VillasanaM I.RicoC. (2006). The complete mitochondrial genome of the whiting, Merlangius merlangus and the haddock, Melanogrammus aeglefinus: a detailed genomic comparison among closely related species of the Gadidae family.Gene383, 12–23.
45
RonquistF.TeslenkoM.van der MarkP. V. D.AyresD. L.DarlingA.HöhnaS.et al (2012). MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space.Syst. Biol.61539–542. 10.1093/sysbio/sys029
46
ShenY.DuY. Z. (2019). The mitochondrial genome of Leuctra sp. (Plecoptera: Leuctridae) and its performance in phylogenetic analyses.Zootaxa4671571–580. 10.11646/zootaxa.4671.4.8
47
ShenY.DuY. Z. (2020). The complete mitochondrial genome of Flavoperla biocellata Chu, 1929 (Plecoptera: Perlidae) and the phylogenetic analyses of Plecoptera.PeerJ8:e8762. 10.7717/peerj.8762
48
SimonS.NarechaniaA.DeSalleR.HadrysH. (2012). Insect phylogenomics: Exploring the source of incongruence using new transcriptomic data.Genome Biol. Evol.41295–1309. 10.1093/gbe/evs104
49
SongN.LiH.SongF.CaiW. Z. (2016). Molecular phylogeny of Polyneoptera (Insecta) inferred from expanded mitogenomic data.Sci. Rep.6:36175. 10.1038/srep36175
50
SouthE. J.SkinnerR. K.DewaltR. E.DavisM. A.MyersL. W. (2021a). A new family of stoneflies (Insecta: Plecoptera), Kathroperlidae, fam. n. with a phylogenomic analysis of the Paraperlinae (Plecoptera: Chloroperlidae).Insect Syst. Diver.51–27. 10.1093/isd/ixab014
51
SouthE. J.SkinnerR. K.DeWaltR. E.KondratieffB. C.JohnsonK. P.DavisM. A.et al (2021b). Phylogenomics of the North American Plecoptera.Syst. Entomol.46287–305. 10.1111/syen.12462
52
StarkB. P.StewartK. W. (1981). The Nearctic genera of Peltoperlidae (Plecoptera).J. Kansas Entomol. Soc.54285–311. 10.2307/25084161
53
StevensD. M.BishopJ.PickerM. D. (2018). Phylogenetic analysis reveals high local endemism and clear biogeographic breaks in southern African stoneflies (Notonemouridae, Plecoptera).Zootaxa4483428–454. 10.11646/zootaxa.4483.3.2
54
StewartJ. B.BeckenbachA. T. (2005). Insect mitochondrial genomics: The complete mitogenome sequence of the meadow spittlebug Philaenus spumarius (Hemiptera: Auchenorrhyncha: Cercopoidae).Genome4846–54.
55
TamuraK.StecherG.PetersonD.FilipskiA.KumarS. (2013). MEGA6: Molecular evolutionary genetics analysis version 6.0.Mol. Biol. Evol.302725–2729. 10.1093/molbev/mst197
56
TerryM. D.WhitingM. F. (2003). Phylogeny of Plecoptera: Molecular evidence and evolutionary trends.Entomol. Abh.61130–131.
57
TerryM. D.WhitingM. F. (2005). Mantophasmatodea and phylogeny of the lower neopterous insects.Cladistics21240–257. 10.1111/j.1096-0031.2005.00062.x
58
ThomasM. A.WalshK. A.WolfM. R.McPheronB. A.MardenJ. H. (2000). Molecular phylogenetic analysis of evolutionary trends in stonefly wing structure and locomotor behavior.Proc. Natl. Acad. Sci. U.S.A.9713178–13183. 10.1073/pnas.230296997
59
TomitaK.YokoboriS.OshimaT.UedaT.WatanabeK. (2001). The cephalopod Loligo bleekeri mitochondrial genome: Multiplied noncoding regions and transposition of tRNA genes.J. Mol. Evol.54486–500. 10.1007/s00239-001-0039-4
60
UchidaS.IsobeY. (1989). Styloperlidae, stat. Nov. and Microperlinae, subfam. Nov. with a revised system of the family group Systellognatha (Plecoptera).Spixiana12145–182.
61
VealeA. J.DeardenP. K.WatersJ. M. (2019). First complete mitochondrial genome of a Gripopterygid stonefly from the suborder Antarctoperlaria: Zelandoperla fenestrata.Mitochondrial DNA Part B4886–888. 10.1080/23802359.2018.1546130
62
WangY.CaoJ. J.LiW. H. (2018). Complete mitochondrial genome of Suwallia teleckojensis (Plecoptera: Chloroperlidae) and implications for the higher phylogeny of stoneflies.Int. J. Mol. Sci.19:680. 10.3390/ijms19030680
63
WangY.CaoJ. J.LiN.MaG. Y.LiW. H. (2019). The first mitochondrial genome from Scopuridae (Insecta: Plecoptera) reveals structural features and phylogenetic implications.Int. J. Biol. Macromol.122893–902. 10.1016/j.ijbiomac.2018.11.019
64
WeiS. J.ShiM.ChenX. X.SharkeyM. J.van AchterbergC.YeG. Y.et al (2010). New views on strand asymmetry in insect mitochondrial genomes.PLoS One5:e12708. 10.1371/journal.pone.0012708
65
YuanM. L.ZhangQ. L.GuoZ. L.WangJ.ShenY. Y. (2015). Comparative mitogenomic analysis of the superfamily Pentatomoidea (Insecta: Hemiptera: Heteroptera) and phylogenetic implications.BMC Genomics16:460. 10.1186/s12864-015-1679-x
66
ZhangD. X.SzymuraJ. M.HewittG. M. (1995). Evolution and structural conservation of the control region of insect mitochondrial DNA.J. Mol. Evol.40382–391. 10.1007/BF00164024
67
ZhangH. L.LiuB. B.WangX. Y.HanZ. P.ZhangD. X.SuC. N. (2016). Comparative Mitogenomic analysis of species representing six subfamilies in the family Tenebrionidae.Int. J. Mol. Sci.17:841. 10.3390/ijms17060841
68
ZwickP. (1973). Insecta: Plecoptera. Phylogenetisches system und Katalog.Das Tierreich941–465.
69
ZwickP. (2000). Phylogenetic system and zoogeography of the Plecoptera.Annu. Rev. Entomol.45709–746. 10.1146/annurev.ento.45.1.709
Summary
Keywords
Cryptoperla kawasawai, Peltoperlopsis sagittata, mitochondrial genome, phylogeny, Plecoptera
Citation
Wang Y, Cao J, Guo X, Guo C, Li W and Murányi D (2022) Comparative analysis of mitochondrial genomes among the family Peltoperlidae (Plecoptera: Systellognatha) and phylogenetic implications. Front. Ecol. Evol. 10:979847. doi: 10.3389/fevo.2022.979847
Received
28 June 2022
Accepted
22 July 2022
Published
15 August 2022
Volume
10 - 2022
Edited by
Yuyu Wang, Agricultural University of Hebei, China
Reviewed by
Nan Song, Henan Agricultural University, China; Xiao-Long Lin, Shanghai Ocean University, China; Zhijun Zhou, Hebei University, China
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© 2022 Wang, Cao, Guo, Guo, Li and Murányi.
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*Correspondence: Weihai Li, lwh7969@163.com
This article was submitted to Phylogenetics, Phylogenomics, and Systematics, a section of the journal Frontiers in Ecology and Evolution
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