Next Article in Journal
First Report of Leptopilina japonica in Europe
Previous Article in Journal
Palaearctic Egg Parasitoids Interaction to Three Grapevine Exotic Pests in Northwestern Italy: A New Association Involving Metcalfa pruinosa
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Insects
Volume 11
Issue 9
10.3390/insects11090609
insects-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Characterization of Two Complete Mitochondrial Genomes of Ledrinae (Hemiptera: Cicadellidae) and Phylogenetic Analysis

by
Weijian Huang
and
Yalin Zhang
*
Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, Entomological Museum, College of Plant Protection, Northwest A&F University, Yangling 712100, China
*
Author to whom correspondence should be addressed.
Insects 2020, 11(9), 609; https://doi.org/10.3390/insects11090609
Submission received: 8 August 2020 / Revised: 2 September 2020 / Accepted: 7 September 2020 / Published: 8 September 2020
Browse Figures
Review Reports Versions Notes

Abstract

:

Simple Summary

Ledrinae is a small subfamily with many unique characteristics and comprises 5 tribes with 39 genera including approximately 300 species. The monophyly of Ledrinae and the phylogenetic relationships among cicadellid subfamilies remain controversial. To provide further insight into the taxonomic status and phylogenetic status of Ledrinae, two additional complete mitochondrial genomes of Ledrinae species (Tituria sagittata and Petalocephala chlorophana) are newly sequenced and comparatively analyzed. The results showed the sequenced genes of Ledrinae retain the putative ancestral order for insects. In this study, phylogenetic analyses based on expanded sampling and gene data from GenBank indicated that Ledrinae appeared as monophyletic with maximum bootstrap support values and maximum Bayesian posterior probabilities. Bayesian inference and maximum likelihood analysis of concatenated alignments of three datasets produced a well-resolved framework of Cicadellidae and valuable data toward future study in this subfamily.

Abstract

Mitochondrial genomes are widely used for investigations into phylogeny, phylogeography, and population genetics. More than 70 mitogenomes have been sequenced for the diverse hemipteran superfamily Membracoidea, but only one partial and two complete mtgenomes mitochondrial genomes have been sequenced for the included subfamily Ledrinae. Here, the complete mitochondrial genomes (mitogenomes) of two additional Ledrinae species are newly sequenced and comparatively analyzed. Results show both mitogenomes are circular, double-stranded molecules, with lengths of 14,927 bp (Tituria sagittata) and 14,918 bp (Petalocephala chlorophana). The gene order of these two newly sequenced Ledrinae is highly conserved and typical of members of Membracoidea. Similar tandem repeats in the control region were discovered in Ledrinae. Among 13 protein-coding genes (PCGs) of reported Ledrinae mitogenomes, analyses of the sliding window, nucleotide diversity, and nonsynonymous substitution (Ka)/synonymous substitution (Ks) indicate atp8 is a comparatively fast-evolving gene, while cox1 is the slowest. Phylogenetic relationships were also reconstructed for the superfamily Membracoidea based on expanded sampling and gene data from GenBank. This study shows that all subfamilies (sensu lato) are recovered as monophyletic. In agreement with previous studies, these results indicate that leafhoppers (Cicadellidae) are paraphyletic with respect to the two recognized families of treehoppers (Aetalionidae and Membracidae). Relationships within Ledrinae were recovered as (Ledra + (Petalocephala + Tituria)).

1. Introduction

The typical insect mitochondrial genome is a double-strand circular molecule 15–18 kb in size and contains 37 genes, with 13 protein coding genes (PCGs), two ribosomal RNA (rRNA) genes, and 22 transfer RNA (tRNA) genes [1,2]. During the last ten years, the mitogenome was widely used for studies of phylogeny, phylogeography, and population genetics [2,3,4,5,6,7]. With the reduction in cost of high-throughput sequencing, more than 70 Membracoidea mtgenomes have so far been sequenced and uploaded to pubic databases (Table 1), (https://www.ncbi.nlm.nih.gov). However, they are still underrepresented at the subfamily level, especially in Ledrinae (with only one partial and two complete mtgenomes) [8].
Among the 19 subfamilies of Cicadellidae, Ledrinae is a small group with many unique characteristics and comprises 5 tribes with 39 genera including approximately 300 species [40,41]. The group is cosmopolitan but most diverse in the Old World tropics. Morphologically, ledrines are usually green or brown with the crown and tibiae spatulate, hind femur macrosetal formula of 2 + 1/2 + 0, ocelli on the crown distant from the margin, and the forewing venation usually highly reticulate. Except for members of the Xerophloeini, the Ledrinae are arboreal. According to fossil evidence, ledrines have existed since the Lower Cretaceous [42,43].
The monophyly of Ledrinae and the phylogenetic relationships among cicadellid subfamilies remain controversial. Based on a previous phylogenetic analysis of 28S rDNA sequences, Dietrich et al. [44] reported the paraphyly of Ledrinae, while a subsequent morphology-based phylogenetic analysis of Ledrinae recovered them as a monophyletic group [9]. A molecular phylogenetic analysis based on DNA sequences from 388 loci and >99,000 aligned nucleotide positions also suggested that Ledrinae is paraphyletic but branches separating the different clades had low support [45]. Recently, a molecular analysis using transcriptomes recovered the included Ledrinae as monophyletic and as a sister group to Tartessinae [46].
As a new tool, mtgenomes may provide further insight into the taxonomic status and phylogenetic status of Ledrinae. Previously, there were only one partial mitogenome of Ledrinae (Petalocephala ochracea—KX437734) and two complete ledrine mitogenomes (Tituria pyramidata—MN920440 and Ledra auditura—MK387845) available in GenBank [8]. In this study, we assembled two mitogenomes (P. chlorophana and T. sagittata) using next-generation sequencing (NGS) data to provide new evidence toward investigating Ledrinae phylogeny. We report the mitochondrial structure of these two species, including gene order, nucleotide composition, codon usage, tRNA secondary structure, gene overlaps, and the non-coding control region. Using these new sequences, the phylogeny of Membracoidea was reconstructed based on mitogenome information. The objectives of this research were to (1) test the monophyly of Ledrinae and (2) provide a phylogenetic framework for understanding the phylogenetic relationships with other leafhoppers and treehoppers.

2. Materials and Methods

2.1. Sample Collection and DNA Extraction

Collection information for the adult Ledrinae species sequenced in this study is provided in Table S1, and specimen identification was based on morphological characters [40]. All specimens were preserved in 100% ethyl alcohol at −20 °C before DNA extraction. The voucher specimens are deposited in the Entomological Museum, Northwest A&F University (NWAFU), Yangling, Shaanxi, China. Total genomic DNA was extracted from the muscle tissues of the thorax using a DNeasy DNA Extraction kit (Qiagen).

2.2. Sequencing, Assembly, Annotation and Bioinformatic Analyses

Two complete mtgenomes of Ledrinae were sequenced using next-generation sequencing (Illumina HiSeq 2500; Biomarker Technologies Corporation, Beijing, China). A total of 13,355,846/13,287,460 paired-end clean reads were assembled using Geneious 10.0.5 (Biomatters, Auckland, New Zealand) and MITObim v1.7 software (https://github.com/chrishah/MITObim) [47] with the mitogenome of Homalodisca vitripennis (NC006899) and T. pyramidata (MN920440) employed as references. The mitogenomes were annotated with Geneious10.0.5 (Biomatters, Auckland, New Zealand). The tRNA genes were identified with MITOS WebServer (http://mitos.bioinf.uni-leipzig.de/index.py) [48] and tRNAscan-SE Search Server v1.21 [49] with the invertebrate mitochondrial genetic code (codon Table 5). The rRNA genes and PCG genes boundaries were determined by the positions of tRNA genes and by alignment with homologous gene sequences and ORF Finder employing codon Table 5 of other leafhoppers. Tandem repeats of the control region (A + T-rich region) were identified with the Tandem Repeats Finder server (http://tandem.bu.edu/trf/trf.html) [50]. The mitogenome map was produced using CGView (http://stothard.afns.ualberta.ca/cgview_server) [51].
The base composition and relative synonymous codon usage (RSCU) of the mitogenomes of Ledrinae species were calculated with MEGA 7.0 (Penn State University, State College, PA, USA) [52] and PhyloSuite v1.2.1 (https://github.com/dongzhang0725/PhyloSuite) [53]. The AT-skew and GC-skew were computed according to the following formulas: AT-skew = [A − T]/[A + T] and GC-skew = [G − C]/[G + C] [54].
The nucleotide diversity (Pi) of PCGs among the Ledrinae species and a sliding window analysis (a sliding window of 200 bp and step size of 20 bp) were conducted using DnaSP 6.0 [55]. DnaSP 6.0 was also used to calculate the rate of non-synonymous (Ka) and synonymous (Ks) substitutions rates for each PCG. Genetic distances between species based on each PCG were estimated using MEGA 7 [52] with Kimura-2-parameter. The genetic distances and Ka/Ks ratios were graphically plotted using Prism 6.01 (GraphPad Software, San Diego, CA, USA). The new mitogenome sequences of Ledrinae (P. chlorophana and T. sagittata) were registered in GenBank with accession numbers MT610899 and MT610900 (Table 1).

2.3. Phylogenetic Analysis

A total of 72 mitogenomes of members of Membracoidea (including 65 leafhoppers, seven treehoppers) were used in our phylogenetic analysis as an ingroup, representing three families and twelve subfamilies. Four species of Fulgoroidea (Fulgora candelaria, Geisha distinctissima, Magadhaideus sp. and Nilaparvata lugens), four species of Cercopoidea (Philaenus spumarius, Callitettix braconoides, Cosmoscarta dorsimacula and Paphnutius ruficeps) and four species of Cicadoidea (Magicicada tredecula, Diceroprocta semicincta, Tettigades auropilosa and Tettigarcta crinita) were selected as outgroups, representing three superfamilies, eight families and twelve subfamilies, respectively. The mitogenomes of two Ledrinae species (P. chlorophana and T. sagittata) were sequenced in this study while the other sequences of Auchenorrhyncha were obtained from the National Center for Biotechnology Information (NCBI) database (Table 1).
PCGs and RNAs were extracted using PhyloSuite v 1.2.1 [53]. Each PCG was aligned based on codons for amino acids using MAFFT 7 (https://mafft.cbrc.jp/alignment/server/) [56]. All RNAs were aligned with the Q-INS-I algorithm using the MAFFT 7 online service [56]. Ambiguously aligned sites were removed from PCG and RNA alignments using GBlocks v.0.91b (http://molevol.cmima.csic.es/castresana/Gblocks/Gblocks_documentation.html) [57]. Then, all alignments were checked and corrected manually in MEGA 7 [52] for quality. Alignments of all genes were concatenated using PhyloSuite 1.2.1 [53].
Three datasets were generated for phylogenetic reconstruction: (1) PCG123 matrix, which contained all codon positions of the thirteen protein-coding genes (10,668 bp in total); (2) PCG123RNA matrix, which contained all codon positions of the thirteen protein-coding genes and the two rRNA genes (11,535 bp in total); and (3) AA matrix, which contained amino acid sequences of the thirteen protein-coding genes (3272 bp in total). Phylogenetic reconstruction of all matrices was performed using ML (maximum likelihood) and BI (Bayesian inference) analyses, respectively. The best partitioning schemes were selected using PartitionFinder 2.1.1 (www.phylo.org) [58] with the greedy algorithm and BIC criterion (Tables S2 and S3). Maximum likelihood analysis was inferred using IQ-TREE [59] under an edge-linked partition model. Branch support analysis was conducted using 10,000 ultrafast bootstrap replicates (UFB) [60]. Bayesian analysis was performed using MrBayes 3.2.6 (www.phylo.org) [61], as implemented in the CIPRES Science Gateway (www.phylo.org) [62]. Each MrBayes analysis involved 10,000,000–20,000,000 generations. The convergence of the independent runs was indicated by a standard deviation of split frequencies <0.01. To mitigate possible effects of base-composition bias and among-site rate heterogeneity, we also used Phylobayes MPI v.1.5a (https://cushion3.sdsc.edu/portal2/login.action;jsessionid=1F85AAEAFBE36B6CCDA96CA816E1A2D3) [63] to analyze the amino acid sequence dataset with the site-heterogeneous model CAT + GTR, as implemented in the CIPRES Science Gateway [62]. We ran two independent tree searches and each run implemented two Markov chain Monte Carlo chains in parallel for at least 30,000 iterations. Runs were terminated when the maxdiff was <0.3 and minimum effective size was >50 (recognized as having reached convergence). A consensus tree was computed from the trees combined from the two runs after the initial 25% trees of each MCMC run were discarded as burn-in.

3. Results and Discussion

3.1. Genome Organization and Base Composition

In our analysis, we did not find obvious heteroplasty within an individual (almost each site had more than 120 sequences, with more than 90 percent consistency, to determine each base) when we assembled two new complete mtgenomes. The mtgenomes of P. chlorophana and T. sagittata were 14,927 bp and 14,918 bp long, respectively (Figure 1). Among the four complete mitogenomes of Ledrinae, T. sagittata has the smallest mtgenome of 14,198 bp, while L. auditura contains the largest at 16,094 bp due to two long non-coding regions [30]. This finding was comparable to the sequence lengths found for other reported Ledrinae mtgenomes [8,30]. Both mitogenomes of Ledrinae included the 37 typical animal mitochondrial genes (13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes) and one non-coding region (A + T-rich region) (Figure 1). The majority strand (J-strand) encoded most of the genes (9 PCGs and 14 tRNAs), while 14 genes (4 PCGs, 8 tRNAs, and 2 rRNAs) were transcribed on the minority strand (N-strand) (Table 2). The gene order of the two newly sequenced Ledrinae was consistent with the typical insect—Drosophila yakuba [64]—and other previously-sequenced Ledrinae [8,30].
The overall base composition of P. chlorophana was A (29.5%), T (47%), C (9.8%), and G (13.5%) and A (29.8%), T (46.7%), C (10.5%), and G (13%) in T. sagittata. Similar to other cicadellid mitogenomes, both mtgenomes were consistently AT nucleotide biased, with 76.6% in P. chlorophana and 76.5% in T. sagittata (Table 3 and Table 4). The AT nucleotide content of the 13 PCG genes was the lowest (75.3%, 75.5%), while the AT nucleotide content of the A + T-rich region was the highest (85.4%, 82.3%) (Table 3 and Table 4). The composition skew analysis shows a negative AT-skew and a positive GC-skew in the whole mitogenomes (Table 3 and Table 4).

3.2. Protein-Coding Genes and Codon Usage

The total size of the 13 PCGs of P. chlorophana and T. sagittata were 10,911 bp and 10,914 bp, respectively (Table 3 and Table 4). In both sequenced mitogenomes, nine of the 13 PCGs were located on the J-strand, while the other four were oriented on the N-strand (Table 2). Both mitogenomes had almost the same characteristics with the smallest size of atp8 and the largest size of nad5 among PCGs. The AT-skews of the PCGs were −0.217 and −0.2 (Table 2).
Most PCGs in the two newly sequenced mitogenomes started with ATN (ATA/T/G/C), except for nad5 in both newly sequenced Ledrinae, which started with TTG (Table 2), as in the previously sequenced Ledrinae T. pyramidata and P. ochracea [8], while nad5 in L. auditura started with ATC [30]. Most PCGs of these two complete mitogenomes stopped with a complete termination codon TAA or the incomplete stop codon T, except nad1 and nad3 of P. chlorophana, which stopped with the termination codon TAG, while TAG was used for cox1, nad3, and cytb in T. sagittata (Table 2). In all five Ledrinae mitogenomes, the termination codon TAG occurred less than TAA and at least three incomplete stop codons T were present [30]. Incomplete termination codons are common in insect mitogenomes, which may be related to post-transcriptional modification during the mRNA maturation process [65].
The relative synonymous codon usage (RSCU) values and the amino acid compositions of the four complete Ledrinae mitogenomes are calculated and drawn in Figure 2. The four most frequently used codons were UUU (Phe), UUA (Leu), AUA (Met), and AUU (Ile), which are composed solely of A or U. A distinct preference for using the A or T nucleotides in the third codon positions (Figure 2) reflects the nucleotide A + T bias in the mitochondrial PCGs among Ledrinae.

3.3. Transfer and Ribosomal RNA Genes

Twenty-two transfer RNA genes (tRNAs) of P. chlorophana and T. sagittata mitogenomes are scattered discontinuously over the entire mitogenome (Table 2). The tRNAs region of these two mitogenomes is 1401 bp in P. chlorophana and 1398 bp in T. sagittata. The AT content of tRNA genes is slightly higher than that of the PCGs, ranging from 77.3% to 77.7% (Table 3 and Table 4). Both positions of 22 tRNA genes were identified in the same relative genomic positions as in D. yakuba [64] and previously sequenced Cicadellidae (Table 1), with the exception of three species of Deltocephalinae and one species of Iassinae, which have tRNA rearrangements [18,19,26,53]. The sizes of these 22 tRNAs ranged from 58 bp (trnS1) to 72 bp (trnL2) in P. chlorophana and from 59 bp (trnE) to 71 bp (trnK) in T. sagittata (Table 2). As shown in Figure 3 and Figure 4, all tRNAs can fold into the typical cloverleaf secondary structure, while trnS1 (AGN) formed with the loss of DHU, as recognized in other cicadellid species [18,20,27,29]. The lack of a DHU stem in trnS1 was also commonly present in metazoan mitogenomes [66]. Compared with the two new mitogenomes, we recognize a total of six types of unmatched base pairs (GU, UU, AA, AC, AG, and single A) in the arm structures of tRNAs. A total of 28 weak-bonded GU, 18 mismatched UU, 2 mismatched AA, 2 mismatched AC, and 1 extra single A nucleotide were found in P. chlorophana (Figure 4), while 30 mismatched GU, 19 mismatched UU, 1 mismatched UC, 1 mismatched AC, and 1 mismatched AG nucleotide are found in T. sagittata (Figure 5). A large number of GU mismatches were also found in other leafhoppers [20,27,31].
Two rRNA genes were encoded from the N-strand in P. chlorophana and T. sagittata. rrnL was 1186/1180 bp (P. chlorophana/T. sagittata) in length, located in trnL1 (CUN) and trnV, while the small rRNA (rrnS) was 734/705 bp (P. chlorophana/T. sagittata) in length and resided in trnV and the control region (Table 2). The lengths range from 1160 bp to 1426 bp in rrnL and from 705 bp to 734 bp in rrnS in these four complete mitogenomes of Ledrinae [30].

3.4. Overlapping Sequences and Intergenic Spacers

A total of 15 gene overlaps occur in the P. chlorophana mitogenome with a size from 1 bp to 10 bp, while 13 gene overlaps appear in the T. sagittata mitogenome with the same size variation as in the former. The longest overlap region of the two mitogenomes found was 10 bp between nad4 and trnT (Table 2). All four Ledrinae species have one identical overlap region in trnW-trnC (AAGTCTTA) [30].
There were 8 intergenic spacers in the P. chlorophana mtgenome, ranging in size from 1 bp to 23 bp, and the longest two intergenic spacers were 23 bp between trnQ and nad2. In T. sagittata, 8 intergenic spacers were identified, ranging in size from 1 bp to 14 bp, with the longest being between trnP and cytb (Table 2). There was no identical intergenic spacer region in Ledrinae.

3.5. Control Region

In the mtgenome, the A + T-rich region was the longest non-coding sequence. The sizes of the control regions were 694 bp in P. chlorophana and 734 bp in T. sagittata. In all four complete Ledrinae mitogenomes, all A + T-rich regions were located between rrnS and trnI and ranged from 694 bp to 856 bp (Figure 5), while L. auditura contained two A + T-rich regions. The A + T contents were 85.4% in P. chlorophana and 82.3% in T. sagittata. Each Ledrinae had specific repeat sequences. P. chlorophana had two types of small repeat tandem units with sizes of 18 bp and 43 bp, respectively, while the other three Ledrinae had an absolute tandem repeat ranging from 18 bp to 213 bp (Figure 5). The results indicated that all four complete Ledrinae mitogenome A + T-rich regions had a varied number of absolute tandem repeat units.

3.6. Nucleotide Diversity and Evolutionary Rate Analysis

The sliding window analysis exhibited highly variable nucleotide diversity (Pi values) among the 13 aligned PCGs sequences of the four mitogenomes (Figure 6A). The genes atp8, nad6, nad5, and nad2 had relatively high nucleotide diversities of 0.255, 0.245, 0.231, and 0.230, respectively, while the genes cox1, cytb, cox2, and cox3 had comparatively low nucleotide diversities of 0.143, 0.161, 0.174, and 0.175 (Figure 6A). Almost the same results were observed according to pairwise genetic distance analysis, with high distances of 0.406, 0.375, 0.342, and 0.341 for atp8, nad6, nad5, and nad2 and low distances of 0.18, 0.208, 0.233, and 0.233 for cox1, cytb, cox3, and cox2, respectively (Figure 6B). The evolutionary rate analysis estimated by the average non-synonymous (Ka) and synonymous (Ks) substitution rates of 13 PCGs among the four mitogenomes ranged from 0.134 to 0.663 (0 < Ka/Ks < 1) (Figure 6B), indicating that these genes are under the purifying selection. The genes atp8, nad6, and nad2 showed comparatively high Ka/Ks ratios of 0.663, 0.500, and 0.444, while cox1, cytb, and cox2 showed relatively low values of 0.134, 0.184, and 0.188, respectively (Figure 6B).
The mitochondrial gene cox1 is one of the commonly used barcodes for identifying species and inferring the phylogenetic relationship in leafhoppers [67,68,69], but it was the slowest evolving among the PCGs in these four Ledrinae species, while atp8 was a comparatively faster evolving gene. In this study, we found nad6 and atp8 could be evaluated as potential DNA markers for sibling species delimitation.

3.7. Phylogenetic Relationships

The phylogenetic topologies were largely consistent based on analyses of the three datasets (P123, P123R, and AA), with most nodes receiving high support values in BI and ML analyses (Figure 7, Figure 8 and Figure 9). All analyses consistently supported the monophyly of the four superfamilies Fulgoroidea, Cicadoidea, Cercopoidea, and Membracoidea and recovered the relationship (Fulgoroidea + ((Cicadoidea + Cercopoidea) + Membracoidea)) (BS = 100, PP = 1). Within Membracoidea, treehoppers (Membracidae and Aetalionidae) were monophyletic (BS = 100; PP = 1) as a lineage derived from within leafhoppers and as sister to Megophthalminae, consistent with previous studies [8,18,27,44,45,46,47,48,49,50,51,52,53,54,55,56,70]. Within treehoppers, all phylogenetic topologies recovered the relationship (Smiliinae + (Aetalionidae + Centrotinae)) (BS = 100; PP = 1). Meanwhile, Membracoidea was divided into two main groups. Deltocephalinae taxa constituted one clade sister to all remaining Membracoidea, with strong support (BS = 100; PP = 1). This result was congruent with previous results based on mtgenomes and anchored hybrid enrichment data [18,20,27] but different from the results based on 28S sequences [44] and transcriptomes [46].
Within a paraphyletic Cicadellidae, the cicadellid subfamily Deltocephalinae appeared as monophyletic with maximum bootstrap support values and maximum Bayesian posterior probabilities in all phylogenetic trees, as were Iassinae, Megophthalminae, Typhlocybinae, Coelidiinae, Cicadellinae, Evacanthinae, Eurymelinae, and Ledrinae. However, relationships among these subfamilies varied among analyses and most branches separating them received less than maximum support. Typhlocybinae was sister to all others except Deltocephalinae in BI analyses based on P123R/P123 (PP = 1.00, Figure 7), while Typhlocybinae formed a sister group to Cicadellinae + (Evacanthinae + Ledrinae) in remaining analyses (BS > 92; PP > 0.99, Figure 8 and Figure 9). The relationships among Cicadellinae and Evacanthinae were mostly congruent among results (Figure 6, Figure 7, Figure 8 and Figure 9), with moderate to high support (BS > 90; PP > 0.84). The position of Eurymelinae was inconsistent (Figure 7, Figure 8 and Figure 9) with low to moderate support (BS < 70, PP < 0.86). These results were somewhat discordant with previous molecular phylogenies [44,45,46]. As in other recent phylogenomic analyses of Membracoidea [3,8,18,20,27,46], the deep internal branches separating the subfamilies were very short and received less than maximum support. Most major membracoid lineages appear to have arisen within a very short time interval during the Cretaceous period [43,45,70]. Such ancient rapid radiations often cause problems for phylogenetic reconstruction. In order to mitigate possible effects of base-composition bias and among-site rate heterogeneity, the site-heterogeneous substitution model in Phylobayes was selected, however, the result was almost congruent with a few limited rearrangements among taxa within Deltocephalinae and Ledrinae (Figure 7, Figure 8 and Figure 9).
Within Ledrinae, the five species (T. pyramidata, T. sagittata, L. auditura, P. ochrace, and P. chlorophana) representing Ledrini formed a monophyletic group with high support values (BS = 100, PP = 1). Expect for Phylobayes analysis topology based on AA, the topology of the remaining analysis (L. auditura + ((P. ochrace + P. chlorophana) + (T. pyramidata + T. sagittata))) was recovered, with strong support values in BI (PP > 0.97) and low to high support values in ML (BS = 82–100). The monophyly of Ledrinae was consistent with previous studies based on morphological and transcriptome analysis [40,46] but inconsistent with previous analyses using anchored hybrid enrichment genomics and 28S sequences [44,45]. However, because our analysis only included representatives of one ledrine tribe and taxon sampling in other molecular phylogenetic studies has also been very sparse, data for other tribes will need to be added before a robust test of the monophyly of this subfamily can be performed.

4. Conclusions

This study provided the complete mtgenome sequences of P. chlorophana and T. sagittata, with a comparative analysis of mtgenomes within the subfamily Ledrinae and phylogenetic analysis of the superfamily Membracoidea. The results showed the sequenced genes of Ledrinae retain the putative ancestral order for insects. We suggest that nad6 and atp8 show strong potential as DNA markers for species delimitation and phylogenetic relationships among ledrine species. Bayesian inference and maximum likelihood analysis of concatenated alignments of three datasets (P123, P123R, and AA) produced a well-resolved framework, which was largely congruent with previous studies, and with most branches strongly supported except for a few deep internal nodes within Cicadellidae. The present analyses consistently recovered Cicadellidae as paraphyletic, with respect to treehoppers. Within Membracoidea, currently recognized subfamilies for which more than one representative was available were recovered as monophyletic.
The inconsistent results and the short deep internal branches may be due to an ancient rapid radiation (most major cicadellid lineages arose within a c. 30 Ma time frame), but limited taxon sampling may also have limited the power of our dataset to resolve relationships among major lineages. These results suggest that mitogenome data are useful for resolving the phylogenetic problem of Cicadellidae, at least at the subfamily level, although this study only included 9 of the 19 currently recognized subfamilies of leafhoppers (sensu 14). Additional mitogenome sampling, especially for representatives of subfamilies and tribes not yet sequenced, may contribute to resolving the phylogeny of Cicadellidae. In addition, limited taxon sampling and single mitogenome may be the main limitations of mitogenomes. In future studies, mtgenomes plus nuclear genes (such as whole 28S) and additional species would produce a better framework.

Supplementary Materials

The following are available online at https://www.mdpi.com/2075-4450/11/9/609/s1, Table S1. Collection information of the Ledrinae species sequenced in present study. Table S2. Best partitioning schemes and models based on different datasets for Bayesian inference (BI) analysis. Table S3. Best partitioning schemes and models based on different datasets for maximum likelihood (ML) analysis.

Author Contributions

Conceptualization, W.H. and Y.Z.; specimen identification, W.H. and Y.Z.; methodology and experiments, W.H. and Y.Z.; data analysis, W.H.; writing—original draft preparation, W.H.; writing—review and editing, W.H. and Y.Z.; funding acquisition, Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (31420103911, 31672339, 31750002).

Acknowledgments

We are grateful to John Richard Schrock (Emporia State University, USA) for revising the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Boore, J.L. Animal mitochondrial genomes. Nucleic Acids Res. 1999, 27, 1767–1780. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Cameron, S.L. Insect mitochondrial genomics: Implications for evolution and phylogeny. Annu. Rev. Entomol. 2014, 59, 95–117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Du, Z.; Hasegawa, H.; Cooley, J.R.; Simon, C.; Yoshimura, J.; Cai, W.; Sota, T.; Li, H. Mitochondrial genomics reveals shared phylogeographic patterns and demographic history among three periodical cicada species groups. Mol. Biol. Evol. 2019, 36, 1187–1200. [Google Scholar] [CrossRef] [PubMed]
  4. Li, H.; Leavengood, J.M., Jr.; Chapman, E.G.; Burkhardt, D.; Song, F.; Jiang, P.; Liu, J.; Zhou, X.; Cai, W. Mitochondrial phylogenomics of Hemiptera reveals adaptive innovations driving the diversification of true bugs. Proc. R. Soc. B Biol. Sci. 2017, 284. [Google Scholar] [CrossRef]
  5. Lv, L.; Peng, X.X.; Jing, S.L.; Liu, B.F.; Zhu, L.L.; He, G.C. Intraspecific and interspecific variations in the Mitochondrial genomes of Nilaparvata (Hemiptera: Delphacidae). J. Econ. Entomol. 2015, 108, 2021–2029. [Google Scholar] [CrossRef]
  6. Song, N.; Liang, A.P.; Bu, C.P. A molecular phylogeny of Hemiptera inferred from mitochondrial genome sequences. PLoS ONE 2012, 7, e48778. [Google Scholar] [CrossRef] [Green Version]
  7. Song, N.; Liang, A. The complete mitochondrial genome sequence of Geisha distinctissima (Hemiptera: Flatidae) and comparison with other hemipteran insects. Acta Biochim. Biophys. Sin. 2009, 41, 206–216. [Google Scholar] [CrossRef] [Green Version]
  8. Song, N.; Cai, W.; Li, H. Insufficient power of mitogenomic data in resolving the auchenorrhynchan monophyly. Zool. J. Linn. Soc. 2018, 183, 776–790. [Google Scholar] [CrossRef]
  9. Liu, J.; Bu, C.; Wipfler, B.; Liang, A. Comparative analysis of the mitochondrial genomes of Callitettixini Spittlebugs (Hemiptera: Cercopidae) confirms the overall high evolutionary speed of the AT-rich region but reveals the presence of short conservative elements at the tribal level. PLoS ONE 2014, 9, e109140. [Google Scholar] [CrossRef] [Green Version]
  10. Liu, J.; Liang, A.P. The complete mitochondrial genome of spittlebug Paphnutius ruficeps (Insecta: Hemiptera: Cercopidae) with a fairly short putative control region. Acta Biochim. Biophys. Sin. 2013, 45, 309–319. [Google Scholar] [CrossRef] [Green Version]
  11. Stewart, J.B.; Beckenbach, A.T. Insect mitochondrial genomics: The complete mitochondrial genome sequence of the meadow spittlebug Philaenus spumarius (Hemiptera: Auchenorrhyncha: Cercopoidae). Genome 2005, 48, 46–54. [Google Scholar] [CrossRef] [PubMed]
  12. Lukasik, P.; Chong, R.A.; Nazario, K.; Matsuura, Y.; Bublitz, A.C.; Campbell, M.A.; Meyer, M.C.; Van Leuven, J.T.; Pessacq, P.; Veloso, C.; et al. One Hundred Mitochondrial Genomes of Cicadas. J. Hered. 2019, 110, 247–256. [Google Scholar] [CrossRef] [PubMed]
  13. Liang, A.P.; Gao, J.; Zhao, X. Characterization of the complete mitochondrial genome of the treehopper Darthula hardwickii (Hemiptera: Aetalionidae). Mitochondrial DNA Part A 2016, 27, 3291–3292. [Google Scholar] [CrossRef] [PubMed]
  14. Mao, M.; Yang, X.S.; Bennett, G. The complete mitochondrial genome of Entylia carinata (Hemiptera: Membracidae). Mitochondrial DNA Part B Resour. 2016, 1, 662–663. [Google Scholar] [CrossRef] [Green Version]
  15. Zhao, X.; Liang, A.P. Complete DNA sequence of the mitochondrial genome of the treehopper Leptobelus gazella (Membracoidea: Hemiptera). Mitochondrial DNA Part A 2016, 27, 3318–3319. [Google Scholar] [CrossRef]
  16. Song, N.; Cai, W.Z.; Li, H. Deep-level phylogeny of Cicadomorpha inferred from mitochondrial genomes sequenced by NGS. Sci. Rep. 2017, 7, 11. [Google Scholar] [CrossRef] [Green Version]
  17. Wang, J.J.; Li, H.; Dai, R.H. Complete mitochondrial genome of Taharana fasciana (Insecta, Hemiptera: Cicadellidae) and comparison with other Cicadellidae insects. Genetica 2017, 145, 593–602. [Google Scholar] [CrossRef]
  18. Du, Y.M.; Zhang, C.N.; Dietrich, C.H.; Zhang, Y.L.; Dai, W. Characterization of the complete mitochondrial genomes of Maiestas dorsalis and Japananus hyalinus (Hemiptera: Cicadellidae) and comparison with other Membracoidea. Sci. Rep. 2017, 7, 10. [Google Scholar] [CrossRef] [Green Version]
  19. Mao, M.; Yang, X.S.; Bennett, G. The complete mitochondrial genome of Macrosteles quadrilineatus (Hemiptera: Cicadellidae). Mitochondrial DNA Part B Resour. 2017, 2, 173–175. [Google Scholar] [CrossRef] [Green Version]
  20. Du, Y.M.; Dietrich, C.H.; Dai, W. Complete mitochondrial genome of Macrosteles quadrimaculatus (Matsumura) (Hemiptera: Cicadellidae: Deltocephalinae) with a shared tRNA rearrangement and its phylogenetic implications. Int. J. Biol. Macromol. 2019, 122, 1027–1034. [Google Scholar] [CrossRef]
  21. Yu, P.F.; Wang, M.X.; Cui, L.; Chen, X.X.; Han, B.Y. The complete mitochondrial genome of Tambocerus sp. (Hemiptera: Cicadellidae). Mitochondrial DNA Part A 2017, 28, 133–134. [Google Scholar] [CrossRef] [PubMed]
  22. Wu, Y.F.; Dai, R.H.; Zhan, H.P.; Qu, L. Complete mitochondrial genome of Drabescoides nuchalis (Hemiptera: Cicadellidae). Mitochondrial DNA Part A 2016, 27, 3626–3627. [Google Scholar] [CrossRef] [PubMed]
  23. Song, N.; Zhang, H.; Zhao, T. Insights into the phylogeny of Hemiptera from increased mitogenomic taxon sampling. Mol. Phylogenet. Evol. 2019, 137, 236–249. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, J.J.; Yang, M.F.; Dai, R.H.; Li, H. Complete mitochondrial genome of Evacanthus heimianus (Hemiptera: Cicadellidae: Evacanthinae) from China. Mitochondrial DNA Part B Resour. 2019, 4, 284–285. [Google Scholar] [CrossRef] [Green Version]
  25. Yuan, Z.W.; Yang, X.; Li, C.; Song, Y.H. The complete mitochondrial genome of the leafhopper Evacanthus acuminatus (Hemiptera: Cicadellidae: Evacanthinae). Mitochondrial DNA Part B Resour. 2019, 4, 3866–3867. [Google Scholar] [CrossRef] [Green Version]
  26. Wang, J.J.; Wu, Y.F.; Dai, R.H.; Yang, M.F. Comparative mitogenomes of six species in the subfamily Iassinae (Hemiptera: Cicadellidae) and phylogenetic analysis. Int. J. Biol. Macromol. 2020, 149, 1294–1303. [Google Scholar] [CrossRef]
  27. Wang, J.J.; Yang, M.F.; Dai, R.H.; Li, H.; Wang, X.Y. Characterization and phylogenetic implications of the complete mitochondrial genome of Idiocerinae (Hemiptera: Cicadellidae). Int. J. Biol. Macromol. 2018, 120, 2366–2372. [Google Scholar] [CrossRef]
  28. Choudhary, J.S.; Naaz, N.; Das, B.; Bhatt, B.P.; Prabhakar, C.S. Complete mitochondrial genome of ldioscopus nitidulus (Hemiptera: Cicadellidae). Mitochondrial DNA Part B Resour. 2018, 3, 191–192. [Google Scholar] [CrossRef] [Green Version]
  29. Dai, R.H.; Wang, J.J.; Yang, M.F. The complete mitochondrial genome of the leafhopper Idioscopus clypealis (Hemiptera: Cicadellidae: Idiocerinae). Mitochondrial DNA Part B Resour. 2018, 3, 32–33. [Google Scholar] [CrossRef] [Green Version]
  30. Wang, J.J.; Li, D.F.; Li, H.; Yang, M.F.; Dai, R.H. Structural and phylogenetic implications of the complete mitochondrial genome of Ledra Audit. Sci. Rep. 2019, 9, 11. [Google Scholar] [CrossRef]
  31. Wang, J.J.; Dai, R.H.; Li, H.; Zhan, H.P. Characterization of the complete mitochondrial genome of Japanagallia spinosa and Durgades nigropicta (Hemiptera: Cicadellidae: Megophthalminae). Biochem. Syst. Ecol. 2017, 74, 33–41. [Google Scholar] [CrossRef]
  32. Liu, J.H.; Sun, C.Y.; Long, J.; Guo, J.J. Complete mitogenome of tea green leafhopper, Empoasca onukii (Hemiptera: Cicadellidae) from Anshun, Guizhou Province in China. Mitochondrial DNA Part B Resour. 2017, 2, 808–809. [Google Scholar] [CrossRef] [Green Version]
  33. Zhou, N.N.; Wang, M.X.; Cui, L.; Chen, X.X.; Han, B.Y. Complete mitochondrial genome of Empoasca vitis (Hemiptera: Cicadellidae). Mitochondrial DNA Part A 2016, 27, 1052–1053. [Google Scholar] [CrossRef] [PubMed]
  34. Luo, X.; Chen, Y.; Chen, C.; Pu, D.Q.; Tang, X.B.; Zhang, H.; Lu, D.H.; Mao, J.H. Characterization of the complete mitochondrial genome of Empoasca sp. (Cicadellidae: Hemiptera). Mitochondrial DNA Part B Resour. 2019, 4, 1477–1478. [Google Scholar] [CrossRef] [Green Version]
  35. Yuan, X.; Xiong, K.; Li, C.; Song, Y. The complete mitochondrial genome of Limassolla lingchuanensis (Hemiptera: Cicadellidae: Typhlocybinae). Mitochondrial DNA Part B Resour. 2019, 5, 229–230. [Google Scholar] [CrossRef] [Green Version]
  36. Tan, C.; Chen, X.; Li, C.; Song, Y. The complete mitochondrial genome of Empoascanara sipra (Hemiptera:Cicadellidae:Typhlocybinae) with phylogenetic consideration. Mitochondrial DNA Part B Resour. 2019, 5, 260–261. [Google Scholar] [CrossRef] [Green Version]
  37. Song, Y.H.; Yuan, X.W.; Li, C. The mitochondrial genome of Paraahimia luodianensis (Hemiptera: Cicadellidae: Typhlocybinae), a new genus and species from China. Mitochondrial DNA Part B Resour. 2020, 5, 1351–1352. [Google Scholar] [CrossRef]
  38. Yuan, X.W.; Li, C.; Song, Y.H. Characterization of the complete mitochondrial genome of Mitjaevia protuberanta (Hemiptera: Cicadellidae: Typhlocybinae. Mitochondrial DNA Part B Resour 2020, 5, 601–602. [Google Scholar] [CrossRef] [Green Version]
  39. Shi, R.; Yu, X.F.; Yang, M.F. Complete mitochondrial genome of Ghauriana sinensis (Hemiptera: Cicadellidae: Typhlocybinae). Mitochondrial DNA Part B Resour. 2020, 5, 1367–1368. [Google Scholar] [CrossRef] [Green Version]
  40. Jones, J.R.; Deitz, L.L. Phylogeny and systematics of the leafhopper subfamily Ledrinae (Hemiptera: Cicadellidae). Zootaxa 2009, 2186, 1–120. [Google Scholar] [CrossRef]
  41. Sun, J.; Huang, W.; Zhang, Y. Taxonomic studies of two genera, Elongationa gen. nov. and Midoria Kato (Hemiptera: Cicadellidae: Ledrinae), with two new species from China. Zootaxa 2017, 4294, 361. [Google Scholar] [CrossRef]
  42. Shcherbakov, E.D. The earliest leafhoppers (Hemiptera: Karajassidae n. fam.) from the Jurassic of Karatau. N. Jahrb. Geol. Paläont. Mon. 1992, 1, 39–51. [Google Scholar] [CrossRef] [PubMed]
  43. Chen, J.; Wang, B.; Jones, J.R.; Zheng, Y.; Jiang, H.; Jiang, T.; Zhang, J.; Zhang, H. A representative of the modern leafhopper subfamily Ledrinae in mid-Cretaceous Burmese amber (Hemiptera, Cicadellidae). Cretac. Res. 2019, 95, 252–259. [Google Scholar] [CrossRef]
  44. Dietrich, C.H.; Rakitov, R.A.; Holmes, J.L.; Black, W.C. Phylogeny of the major lineages of Membracoidea (Insecta: Hemiptera: Cicadomorpha) based on 28S rDNA sequences. Mol. Phylogenet. Evol. 2001, 18, 293–305. [Google Scholar] [CrossRef]
  45. Dietrich, C.H.; Allen, J.M.; Lemmon, A.R.; Lemmon, E.M.; Takiya, D.M.; Evangelista, O.; Walden, K.K.O.; Grady, P.G.S.; Johnson, K.P. Anchored Hybrid Enrichment-Based Phylogenomics of Leafhoppers and Treehoppers (Hemiptera: Cicadomorpha: Membracoidea). Insect Syst. Divers. 2017, 1, 57–72. [Google Scholar] [CrossRef]
  46. Skinner, R.K.; Dietrich, C.H.; Walden, K.K.O.; Gordon, E.; Sweet, A.D.; Podsiadlowski, L.; Petersen, M.; Simon, C.; Takiya, D.M.; Johnson, K.P. Phylogenomics of Auchenorrhyncha (Insecta: Hemiptera) using transcriptomes: Examining controversial relationships via degeneracy coding and interrogation of gene conflict. Syst. Entomol. 2020, 45, 85–113. [Google Scholar] [CrossRef]
  47. Hahn, C.; Bachmann, L.; Chevreux, B. Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads-a baiting and iterative mapping approach. Nucleic Acids Res. 2013, 41, 9. [Google Scholar] [CrossRef] [Green Version]
  48. Bernt, M.; Donath, A.; Juhling, F.; Externbrink, F.; Florentz, C.; Fritzsch, G.; Putz, J.; Middendorf, M.; Stadler, P.F. MITOS: Improved de novo metazoan mitochondrial genome annotation. Mol. Phylogenet. Evol. 2013, 69, 313–319. [Google Scholar] [CrossRef]
  49. Lowe, T.M.; Eddy, S.R. tRNAscan-SE: A program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25, 955–964. [Google Scholar] [CrossRef]
  50. Benson, G. Tandem repeats finder: A program to analyze DNA sequences. Nucleic Acids Res. 1999, 27, 573–580. [Google Scholar] [CrossRef] [Green Version]
  51. Grant, J.R.; Stothard, P. The CGView Server: A comparative genomics tool for circular genomes. Nucleic Acids Res. 2008, 36, W181–W184. [Google Scholar] [CrossRef] [PubMed]
  52. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zhang, D.; Gao, F.; Jakovlic, I.; Zhou, H.; Zhang, J.; Li, W.X.; Wang, G.T. PhyloSuite: An integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies. Mol. Ecol. Resour. 2019, 20, 348–355. [Google Scholar] [CrossRef] [PubMed]
  54. Perna, N.T.; Kocher, T.D. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. J. Mol. Evol. 1995, 41, 353–358. [Google Scholar] [CrossRef] [PubMed]
  55. Rozas, J.; Ferrer-Mata, A.; Sanchez-DelBarrio, J.C.; Guirao-Rico, S.; Librado, P.; Ramos-Onsins, S.E.; Sanchez-Gracia, A. DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets. Mol. Biol. Evol. 2017, 34, 3299–3302. [Google Scholar] [CrossRef]
  56. Katoh, K.; Standley, D.M. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [Green Version]
  57. Talavera, G.; Castresana, J. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst. Biol. 2007, 56, 564–577. [Google Scholar] [CrossRef] [Green Version]
  58. Lanfear, R.; Frandsen, P.B.; Wright, A.M.; Senfeld, T.; Calcott, B. PartitionFinder 2: New methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol. Biol. Evol. 2017, 34, 772–773. [Google Scholar] [CrossRef] [Green Version]
  59. Nguyen, L.T.; Schmidt, H.A.; von Haeseler, A.; Minh, B.Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef]
  60. Minh, B.Q.; Nguyen, M.A.T.; von Haeseler, A. Ultrafast approximation for phylogenetic bootstrap. Mol. Biol. Evol. 2013, 30, 1188–1195. [Google Scholar] [CrossRef]
  61. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Hohna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Miller, M.A.; Pfeiffer, W.; Schwartz, T. Creating the CIPRES science gateway for inference of large phylogenetic trees. In Proceedings of the Gateway Computing Environments Workshop (GCE); Institute of Electrical and Electronics Engineers (IEEE): New Orleans, LA, USA, 2010; Volume 14, pp. 1–8. [Google Scholar]
  63. Lartillot, N.; Rodrigue, N.; Stubbs, D.; Richer, J. PhyloBayes MPI: Phylogenetic Reconstruction with Infinite Mixtures of Profiles in a Parallel Environment. Syst. Biol. 2013, 62, 611–615. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Clary, D.O.; Wolstenholme, D.R. The mitochondrial DNA molecular of Drosophila yakuba: Nucleotide sequence, gene organization, and genetic code. J. Mol. Evol. 1985, 22, 252–271. [Google Scholar] [CrossRef] [PubMed]
  65. Ojala, D.; Montoya, J.; Attardi, G. tRNA punctuation model of RNA processing in human mitochondria. Nature 1981, 290, 470–474. [Google Scholar] [CrossRef] [PubMed]
  66. Garey, J.R.; Wolstenholme, D.R. Platyhelminth mitochondrial DNA: Evidence for early evolutionary origin of a tRNA(serAGN) that contains a dihydrouridine arm replacement loop, and of serine-specifying AGA and AGG codons. J. Mol. Evol. 1989, 28, 374–387. [Google Scholar] [CrossRef]
  67. Zhang, H.; Zhang, Y.L.; Duan, Y.N. DNA barcoding of Deltocephalus Burmeister leafhoppers (Cicadellidae, Deltocephalinae, Deltocephalini) in China. Zookeys 2019, 867, 55–71. [Google Scholar] [CrossRef] [Green Version]
  68. Huang, W.J.; Zhang, Y.L. Two new species in the genus Destinoides (Hemiptera: Cicadellidae, Ledrinae) from China, with DNA barcoding data. Zootaxa 2019, 4711, 571–578. [Google Scholar] [CrossRef]
  69. Wang, Y.; Nansen, C.; Zhang, Y.L. Integrative insect taxonomy based on morphology, mitochondrial DNA, and hyperspectral reflectance profiling. Zool. J. Linn. Soc. 2016, 177, 378–394. [Google Scholar] [CrossRef] [Green Version]
  70. Johnson, K.P.; Dietrich, C.H.; Friedrich, F.; Beutel, R.G.; Wipfler, B.; Peters, R.S.; Allen, J.M.; Petersen, M.; Donath, A.; Walden, K.K.O.; et al. Phylogenomics and the evolution of hemipteroid insects. Proc. Natl. Acad. Sci. USA 2018, 115, 12775–12780. [Google Scholar] [CrossRef] [Green Version]
Insects 11 00609 g001 550
Figure 1. Circular maps of the mtgenomes of Petalocephala chlorophana and Tituria sagittata.
Figure 1. Circular maps of the mtgenomes of Petalocephala chlorophana and Tituria sagittata.
Insects 11 00609 g001
Insects 11 00609 g002 550
Figure 2. Relative synonymous codon usage (RSCU) of the mitogenomes of four Ledrinae species.
Figure 2. Relative synonymous codon usage (RSCU) of the mitogenomes of four Ledrinae species.
Insects 11 00609 g002
Insects 11 00609 g003 550
Figure 3. Predicted secondary cloverleaf structure for the tRNAs of P. chlorophana.
Figure 3. Predicted secondary cloverleaf structure for the tRNAs of P. chlorophana.
Insects 11 00609 g003
Insects 11 00609 g004 550
Figure 4. Predicted secondary cloverleaf structure for the tRNAs of T. sagittata.
Figure 4. Predicted secondary cloverleaf structure for the tRNAs of T. sagittata.
Insects 11 00609 g004
Insects 11 00609 g005 550
Figure 5. Organization of the control region in Ledrinae mtgenomes. The blue and red ovals indicate the tandem repeats; the non-repeat regions are shown with green boxes.
Figure 5. Organization of the control region in Ledrinae mtgenomes. The blue and red ovals indicate the tandem repeats; the non-repeat regions are shown with green boxes.
Insects 11 00609 g005
Insects 11 00609 g006 550
Figure 6. Nucleotide diversities and selection pressures of 13 PCGs in Ledrinae. (A) Genetic distance (on average) and ratio of non-synonymous (Ka) to synonymous (Ks) substitution rates of each protein-coding gene among four Ledrinae species. (B) Sliding window analysis of protein-coding genes among four Ledrinae species. The red curve shows the value of nucleotide diversity (Pi). Pi value of each PCG is shown above the arrows.
Figure 6. Nucleotide diversities and selection pressures of 13 PCGs in Ledrinae. (A) Genetic distance (on average) and ratio of non-synonymous (Ka) to synonymous (Ks) substitution rates of each protein-coding gene among four Ledrinae species. (B) Sliding window analysis of protein-coding genes among four Ledrinae species. The red curve shows the value of nucleotide diversity (Pi). Pi value of each PCG is shown above the arrows.
Insects 11 00609 g006
Insects 11 00609 g007 550
Figure 7. Phylogenetic tree produced using maximum likelihood based on the dataset of P123R/P123. Numerals at nodes are bootstrap support values (BS).
Figure 7. Phylogenetic tree produced using maximum likelihood based on the dataset of P123R/P123. Numerals at nodes are bootstrap support values (BS).
Insects 11 00609 g007
Insects 11 00609 g008 550
Figure 8. Phylogenetic tree produced using Bayesian inference based on the dataset of P123R/P123. Numerals at nodes are Bayesian posterior probabilities (PP). “-” indicates the clades or species are different in Bayesian inference (BI).
Figure 8. Phylogenetic tree produced using Bayesian inference based on the dataset of P123R/P123. Numerals at nodes are Bayesian posterior probabilities (PP). “-” indicates the clades or species are different in Bayesian inference (BI).
Insects 11 00609 g008
Insects 11 00609 g009 550
Figure 9. Phylogenetic tree produced using IQtree, Mrbayes and Phylobayes based on the dataset of AA. Numerals at nodes are Bayesian posterior probabilities (PP) and bootstrap support values (BS), respectively. “-” indicates the clades or species are different.
Figure 9. Phylogenetic tree produced using IQtree, Mrbayes and Phylobayes based on the dataset of AA. Numerals at nodes are Bayesian posterior probabilities (PP) and bootstrap support values (BS), respectively. “-” indicates the clades or species are different.
Insects 11 00609 g009
Table
Table 1. GenBank accession numbers of mtgenomes for species sampled in this study.
Table 1. GenBank accession numbers of mtgenomes for species sampled in this study.
SuperfamilyFamily/SubfamilySpeciesAccession NumberReference
Outgroup
FulgoroideaFulgoridae/FulgorinaeFulgora candelariaNC_019576[6]
Flatidae/FlatinaeGeisha distinctissimaNC_012617[7]
Achilidae/AchilinaeMagadhaideus sp.MH324928Unpublished
Delphacidae/DelphacinaeNilaparvata lugensNC_021748Unpublished
CercopoideaCercopidae/CercopinaeCosmoscarta dorsimaculaNC_040115Unpublished
Cercopidae/CallitettixinaeCallitettix braconoidesNC_025497[9]
Cercopidae/IschnorhininaePaphnutius ruficepsNC_021100[10]
Aphrophoridae/AphrophorinaePhilaenus spumariusNC_005944[11]
CicadoideaCicadidae/CicadinaeDiceroprocta semicinctaKM000131Unpublished
Cicadidae/CicadettinaeMagicicada tredeculaMH937705[3]
Cicadidae/TibicininaeTettigades auropilosaKM000129Unpublished
Tettigarctidae/TettigarctinaeTettigarcta crinitaMG737758[12]
Ingroup
MembracoideaAetalionidae/AetalioninaeDarthula hardwickiiNC_026699[13]
Membracidae/SmiliinaeEntylia carinataNC_033539[14]
Membracidae/CentrotinaeLeptobelus gazellaNC_023219[15]
Membracidae/CentrotinaeCentrotus cornutusKX437728[8]
Membracidae/CentrotinaeTricentrus sp.KY039115[16]
Membracidae/CentrotinaeLeptobelus sp.JQ910984[4]
Cicadellidae/CicadellinaeBothrogonia ferrugineaKU167550Unpublished
Cicadellidae/CicadellinaeCuerna sp.KX437741[8]
Cicadellidae/CicadellinaeGraphocephala sp.KX437740[8]
Cicadellidae/CicadellinaeCicadella viridisKY752061Unpublished
Cicadellidae/CicadellinaeHomalodisca vitripennisNC_006899Unpublished
Cicadellidae/CoelidiinaeTaharana fascianaNC_036015[17]
Cicadellidae/CoelidiinaeOlidiana sp.KY039119Unpublished
Cicadellidae/CoelidiinaeOlidiana_ritcheriinaMK738125Unpublished
Cicadellidae/DeltocephalinaeJapananus hyalinusNC_036298[18]
Cicadellidae/DeltocephalinaeMaiestas dorsalisNC_036296[18]
Cicadellidae/DeltocephalinaeMacrosteles quadrilineatusNC_034781[19]
Cicadellidae/DeltocephalinaeMacrosteles quadrimaculatusNC_039560[20]
Cicadellidae/DeltocephalinaeTambocerus sp.KT827824[21]
Cicadellidae/DeltocephalinaeNephotettix cincticepsNC_026977Unpublished
Cicadellidae/DeltocephalinaeHishimonus phycitisKX437727[8]
Cicadellidae/DeltocephalinaeHishimonus sp. KX437735[8]
Cicadellidae/DeltocephalinaePsammotettix sp.KX437742[8]
Cicadellidae/DeltocephalinaeCicadula sp.KX437724[8]
Cicadellidae/DeltocephalinaeExitianus sp.KX437722[8]
Cicadellidae/DeltocephalinaePhlogotettix sp. 1KY039135[16]
Cicadellidae/DeltocephalinaePhlogotettix sp. 2KX437721[8]
Cicadellidae/DeltocephalinaeDryadomorpha sp.KX437736[8]
Cicadellidae/DeltocephalinaeOsbornellus sp.KX437739[8]
Cicadellidae/DeltocephalinaeBalclutha sp.KX437738[8]
Cicadellidae/DeltocephalinaeScaphoideus variusKY817245[16]
Cicadellidae/DeltocephalinaeScaphoideus nigrivalveusKY817244[16]
Cicadellidae/DeltocephalinaeScaphoideus maaiKY817243[16]
Cicadellidae/DeltocephalinaeYanocephalus yanonisNC_036131[16]
Cicadellidae/DeltocephalinaeAlobaldia tobaeKY039116[16]
Cicadellidae/DeltocephalinaeExitianus indicusKY039128[16]
Cicadellidae/DeltocephalinaeOrosius orientalisKY039146[16]
Cicadellidae/DeltocephalinaeAthysanopsis sp.KX437726[8]
Cicadellidae/DeltocephalinaeNorvellina sp.KY039131[16]
Cicadellidae/DeltocephalinaeDrabescoides nuchalisNC_028154[22]
Cicadellidae/EvacanthinaeOnukia onukiiMK251119[23]
Cicadellidae/EvacanthinaeEvacanthus heimianusMG813486[24]
Cicadellidae/EvacanthinaeEvacanthus acuminatusMK948205[25]
Cicadellidae/IassinaeTrocnadella arisanaNC036480[26]
Cicadellidae/IassinaeKrisna rufimarginataNC046068[26]
Cicadellidae/IassinaeKrisna concavaMN577635[26]
Cicadellidae/IassinaeGessius rufidorsusMN577633[26]
Cicadellidae/IassinaeBatracomorphus lateprocessusMG813489[26]
Cicadellidae/EurymelinaePopulicerus populiNC_039427[27]
Cicadellidae/EurymelinaeIdioscopus nitidulusNC_029203[28]
Cicadellidae/EurymelinaeIdiocerus laurifoliaeNC_039741[27]
Cicadellidae/EurymelinaeIdioscopus clypealisNC_039642[29]
Cicadellidae/EurymelinaeIdioscopus myricaMH492317[27]
Cicadellidae/LedrinaeTituria pyramidataMN920440Unpublished
Cicadellidae/LedrinaeLedra audituraMK387845[30]
Cicadellidae/LedrinaePetalocephala ochraceaKX437734[8]
Cicadellidae/LedrinaePetalocephala chlorophanaMT610899This study
Cicadellidae/LedrinaeTituria sagittataMT610900This study
Cicadellidae/MegophthalminaeJapanagallia spinosaNC_035685[31]
Cicadellidae/MegophthalminaeDurgades nigropictaNC_035684[31]
Cicadellidae/TyphlocybinaeIllinigina sp.KY039129[16]
Cicadellidae/TyphlocybinaeEmpoasca onukiiNC_037210[32]
Cicadellidae/TyphlocybinaeEmpoasca vitisNC_024838[33]
Cicadellidae/TyphlocybinaeTyphlocyba sp.KY039138[16]
Cicadellidae/TyphlocybinaeEmpoascanara dwalataMT350235Unpublished
Cicadellidae/TyphlocybinaeEmpoasca flavescensMK211224[34]
Cicadellidae/TyphlocybinaeBolanusoides shaanxiensisMN661136Unpublished
Cicadellidae/TyphlocybinaeLimassolla lingchuanensisNC046037[35]
Cicadellidae/TyphlocybinaeEmpoascanara sipraMN604278[36]
Cicadellidae/TyphlocybinaeParaahimia luodianensisNC047464[37]
Cicadellidae/TyphlocybinaeMitjaevia protuberantaNC047465[38]
Cicadellidae/TyphlocybinaeGhauriana sinensisMN699874[39]
Table
Table 2. Organization of the mtgenomes of P. chlorophana and T. sagittata.
Table 2. Organization of the mtgenomes of P. chlorophana and T. sagittata.
NameLocationSize (bp)IntergenicCodonStrand
FromToNucleotidesStartStop
trnI1/164/6964/69 J/J
trnQ62/67126/13065/64−3/−3 N/N
trnM150/130215/19465/6523/−1 J/J
nad2215/1951189/1169975/975-/-ATT/ATTTAA/TAAJ/J
trnW1188/11691250/123263/64−2/−1 J/J
trnC1243/12251307/128865/64−8/−1 N/N
trnY1307/12921370/135464/63−1/3 N/N
cox11372/13542910/28891539/15361/−1ATG/ATGTAA/TAGJ/J
trnL2(UUR)2906/28922977/296072/69−5/2 J/J
cox22978/29613656/3639679/679-/-ATT/ATTT/TJ/J
trnK3657/36403727/371071/71-/- J/J
trnD3731/37133796/377566/633/2 J/J
atp83797/37763949/3928153/153-/-ATT/ATTTAA/TAAJ/J
atp63946/39254599/4578654/654−4/−4ATG/ATATAA/TAAJ/J
cox34600/45805379/5357780/778-/1ATG/ATGTAA/TJ/J
trnG5379/53585439/541861/61−1/- J/J
nad35437/54165793/5772357/357−3/−3ATA/ATATAG/TAGJ/J
trnA5797/57715856/583060/603/−2 J/J
trnR5857/58335917/589261/60-/2 J/J
trnN5917/58945980/595764/64−1/1 J/J
trnS1(ACN)5981/59576038/601658/60-/−1 J/J
trnE6040/60166099/607460/591/−1 J/J
trnF6099/60736160/613662/64−2/−2 N/N
nad56160/61377819/77991660/1663−1/-TTG/TTGT/TN/N
trnH7820/78007880/786161/62-/- N/N
nad47880/78619169/91561290/1296−1/−1ATC/ATCTAA/TAAN/N
nad4L9160/91479498/9487276/276−10/−10ATG/ATGTAA/TAASN/N
trnT9438/94259498/948761/632/2 J/J
trnP9499/94889559/954961/62-/- N/N
nad69574/956410,056/10,049483/48614/14ATT/ATTTAA/TAAJ/J
cytb10,049/10,04211,185/11,1781137/1137−8/−8ATG/ATGTAA/TAGJ/J
trnS2(UCN)11,185/11,17711,248/11,24064/64−1/−2 J/J
nad111,251/11,24512,180/12,172930/9282/4ATA/ATATAG/TN/N
trnL1(CUN)12,181/12,17312,245/12,23865/66-/- N/N
rrnL12,246/12,23913,431/13,4181186/1180-/- N/N
trnV13,432/13,41913,499/13,47868/60-/- N/N
rrnS13,500/13,47914,233/14,183734/705-/- N/N
CR14,234/14,18414,927/14,917694/734-/- J/J
Table
Table 3. Nucleotide composition and skewness comparison of different elements of the Petalocephala chlorophana mtgenome.
Table 3. Nucleotide composition and skewness comparison of different elements of the Petalocephala chlorophana mtgenome.
FeatureLength (bp)T%C%A%G%A + T%AT-SkewGC-Skew
PCGs10,91145.811.429.513.375.3−0.2170.076
Control region69443.26.642.27.985.4−0.0120.089
tRNAs140140.89.136.513.677.3−0.0540.195
rRNAs192034.58.946.110.580.60.1450.081
Whole genome14,927479.829.613.576.6−0.2270.157
Table
Table 4. Nucleotide composition and skewness comparison of different elements of the Tituria sagittata mtgenome.
Table 4. Nucleotide composition and skewness comparison of different elements of the Tituria sagittata mtgenome.
FeatureLength (bp)T%C%A%G%A + T%AT-SkewGC-Skew
PCGs10,91445.311.430.213.175.5−0.20.068
Control region73443.18.939.28.982.3−0.0460
tRNAs139841.68.936.113.477.7−0.0710.203
rRNAs188534.29.244.911.779.10.1360.117
Whole genome14,91846.710.529.81376.5−0.2220.109

Share and Cite

MDPI and ACS Style

Huang, W.; Zhang, Y. Characterization of Two Complete Mitochondrial Genomes of Ledrinae (Hemiptera: Cicadellidae) and Phylogenetic Analysis. Insects 2020, 11, 609. https://doi.org/10.3390/insects11090609

AMA Style

Huang W, Zhang Y. Characterization of Two Complete Mitochondrial Genomes of Ledrinae (Hemiptera: Cicadellidae) and Phylogenetic Analysis. Insects. 2020; 11(9):609. https://doi.org/10.3390/insects11090609

Chicago/Turabian Style

Huang, Weijian, and Yalin Zhang. 2020. "Characterization of Two Complete Mitochondrial Genomes of Ledrinae (Hemiptera: Cicadellidae) and Phylogenetic Analysis" Insects 11, no. 9: 609. https://doi.org/10.3390/insects11090609

APA Style

Huang, W., & Zhang, Y. (2020). Characterization of Two Complete Mitochondrial Genomes of Ledrinae (Hemiptera: Cicadellidae) and Phylogenetic Analysis. Insects, 11(9), 609. https://doi.org/10.3390/insects11090609

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop