Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2018 May 4;8:7034. doi: 10.1038/s41598-018-25338-3

Extensive gene rearrangements in the mitochondrial genomes of two egg parasitoids, Trichogramma japonicum and Trichogramma ostriniae (Hymenoptera: Chalcidoidea: Trichogrammatidae)

Long Chen 1, Peng-Yan Chen 2,3, Xiao-Feng Xue 1, Hai-Qing Hua 1, Yuan-Xi Li 1,, Fan Zhang 2, Shu-Jun Wei 2,
PMCID: PMC5935716  PMID: 29728615

Abstract

Animal mitochondrial genomes usually exhibit conserved gene arrangement across major lineages, while those in the Hymenoptera are known to possess frequent rearrangements, as are those of several other orders of insects. Here, we sequenced two complete mitochondrial genomes of Trichogramma japonicum and Trichogramma ostriniae (Hymenoptera: Chalcidoidea: Trichogrammatidae). In total, 37 mitochondrial genes were identified in both species. The same gene arrangement pattern was found in the two species, with extensive gene rearrangement compared with the ancestral insect mitochondrial genome. Most tRNA genes and all protein-coding genes were encoded on the minority strand. In total, 15 tRNA genes and seven protein-coding genes were rearranged. The rearrangements of cox1 and nad2 as well as most tRNA genes were novel. Phylogenetic analysis based on nucleotide sequences of protein-coding genes and on gene arrangement patterns produced identical topologies that support the relationship of (Agaonidae + Pteromalidae) + Trichogrammatidae in Chalcidoidea. CREx analysis revealed eight rearrangement operations occurred from presumed ancestral gene order of Chalcidoidea to form the derived gene order of Trichogramma. Our study shows that gene rearrangement information in Chalcidoidea can potentially contribute to the phylogeny of Chalcidoidea when more mitochondrial genome sequences are available.

Introduction

A typical animal mitochondrial genome is composed of 13 protein-coding, 22 tRNA and two rRNA genes, and a major non-coding sequence called the control region1. The sequences and structural features of mitochondrial genomes, such as the secondary structure of RNA genes, gene content and gene arrangement, reflect differences in function and evolutionary pattern in different taxa2,3. As an increasing number of mitochondrial genomes have been obtained, comparative feature analysis has become feasible among and within certain groups3. Gene rearrangement is one of the most frequently investigated features in animal mitochondrial genomes37. Comparative studies have shown that gene arrangements are usually conserved across major lineages but may be rearranged within some groups2,4,8. In insects, gene rearrangement has been reported in most orders. Accelerated rates of gene rearrangement have been found particularly in species of hemipteroids (thrips, book lice, lice)7,911, Protura12 and Hymenoptera (wasps, ants and bees)6,1316. It has been known that the gene order of mitochondrial genome contains phylogenetic signals since the seminal work of Sankoff, et al.17 and Boore, et al.18. However, no gene rearrangements are shared between insect orders3. Examining gene rearrangement within lower taxonomic lineages of insects is expected to shed light on the evolution of these groups5,19.

Comparative studies may also contribute to understanding the forces that drive gene rearrangement. Gene rearrangements have been hypothesized to be correlated with parasitic life histories in the Hymenoptera20,21 and to some characteristics, such as body size and developmental time22. Frequent gene rearrangements have been observed in apocritan Hymenoptera based on broad examinations of whole or partial mitochondrial genome sequences13,23. Moreover, it has been reported that gene rearrangement was accelerated in the mitochondrial genomes of Apocrita7,24,25. However, no tight association was found between an increased rate of mitochondrial gene arrangement and the evolution of parasitism in an analysis of the characterization of 67 mitochondrial tRNA gene rearrangements in the Hymenoptera16.

Gene rearrangement patterns in the Hymenoptera are usually complicated and variable compared with those in most other insect orders24,25. Rearrangement of mitochondrial gene can be described by transposition, inversion, inverse transposition and TDRL (tandem duplication random loss) (Fig. 1)3,26. Bernt et al.27 introduced a movement of TDRL to describe the duplication of multiple contiguous genes and the successive random loss of one of the two copies27. In the Hymenoptera, rearrangements of tRNA genes usually occurred around the five gene clusters (Fig. 1). Inversion of trnH from the minority strand (heavy strand in mammal mitochondrial genomes) to the majority strand (light strand in mammal mitochondrial genomes, on which more genes are encoded) has also occurred multiple times in the Braconidae (Hymenoptera)26. The rate of rearrangement of protein-coding genes is lower than that of tRNAs in the Hymenoptera. Rearrangement of protein-coding gene has been reported in limited species of Agaonidae (Chalcidoidea)14, Aulacidae (Evanioidea)28, Trigonalyidae (Trigonalyoidea)29, Pteromalidae (Chalcidoidea)30, Ichneumonidae (Ichneumonoidea)16, Braconidae (Ichneumonoidea)15 and Bethylidae (Chrysidoidea)13.

Figure 1.

Figure 1

Ancestral arrangement of insect mitochondrial genes and types of gene rearrangement. The numbers 1 to 5 in circular indicate the five tRNA clusters. Transposition, inversion, inverse transposition were illustrated by comparing the ancestral pattern of insect mitochondrial gene arrangement and a hypothetical pattern.

In the Chalcidoidea (Hymenoptera: Apocrita), unusually high rates of gene rearrangement, including not only tRNA genes but also protein-coding genes, have been found14,30. Combined with the diverse lifestyles among species of this group, this high rearrangement rate provides suitable materials for examining the evolution of gene rearrangement. Presently, only a few complete or partial mitochondrial genomes are known from Chalcidoidea, including those from Megaphragma31, Nasonia30, and Philotrypesis14. The Trichogrammatidae (Chalcidoidea) are small egg parasitoids with a short developmental duration and are one of the most important groups used in the biological control of insect pests. The parasitoids in this family can parasitize the eggs of about 10 orders. However, no complete mitochondrial genome has previously been sequenced from members of this family except for the mitochondrial genome sequence from Megaphragma31. Increasing knowledge of the mitochondrial genomes of egg parasitoids will provide further insight into their higher-level phylogeny and the evolution of their life histories.

In the study, we sequenced two mitochondrial genomes from Trichogramma ostriniae and Trichogramma japonicum. We found novel and extensive gene rearrangements in both species compared with the ancestral insect mitochondrial genome. Phylogenetic relationships within the Chalcidoidea were reconstructed using mitochondrial genome sequences and gene arrangement patterns.

Results and Discussion

Genome structure

The complete mitochondrial genome of T. japonicum (GenBank accession number: KU577436) and T. ostriniae (GenBank accession number: KU577437) were determined, with lengths of 15,962 bp and 16,472 bp, respectively. The sizes were well within the range found in other completely sequenced hymenopteran insects (from 15,137 bp in Idris sp. to 19,339 bp in Cephus cinctus)32,33 (Table S1). All typical animal mitochondrial genes and control regions were identified in both circular genomes (Table 1).

Table 1.

Annotation of the Trichogramma japonicum and Trichogramma ostriniae mitochondrial genomes.

Gene Strand Trichogramma japonicum Trichogramma ostriniae
Position Size INT Start/stop codon Position Size INE Start/stop codon
trnW 1–66 66 0 1–67 67 0
nad2 67–1078 1014 0 ATA T 68–1080 1014 0 ATA TA
trnQ 1079–1146 68 17 1081–1148 68 63
trnY 1164–1230 67 41 1212–1277 66 62
cox1 1272–2807 1536 15 ATG TAA 1340–2875 1536 1 ATG TAA
trnE + 2823–2889 67 25 2877–2942 66 2
trnF 2915–2978 64 6 2945–3009 65 171
trnI 2985–3051 67 3 3181–3247 67 0
trnS1 3055–3113 59 67 3248–3307 60 151
trnN 3181–3246 66 20 3459–3524 66 0
trnC 3267–3335 69 52 3525–3592 68 106
cox3 3388–4179 792 35 ATG TAA 3699–4490 792 24 ATG TAA
atp6 4215–4889 675 −7 ATG TAA 4515–5189 675 −7 ATG TAA
atp8 4883–5050 168 81 ATT TAA 5183–5350 168 72 ATT TAA
trnD 5132–5197 66 12 5423–5488 66 7
trnK + 5210–5279 70 14 5496–5565 70 9
cox2 5294–5974 681 0 ATT TAA 5575–6255 681 0 ATT TAA
trnL2 5975–6040 66 31 6256–6321 66 29
nad5 6072–7757 1686 1 ATA TAA 6351–8033 1683 6 ATT TAA
trnH 7759–7825 67 21 8040–8102 63 30
nad4 7847–9190 1344 −7 ATG TAA 8133–9476 1344 −7 ATG TAA
nad4l 9184–9471 288 10 ATT TAA 9470–9757 288 0 ATT TAG
trnT + 9482–9546 65 −1 9758–9821 64 −1
trnP 9546–9611 66 6 9821–9885 65 13
nad6 + 9618–10196 579 33 ATT TAA 9899–10471 573 2 ATG TAA
cob + 10230–11369 1140 25 ATG TAA 10474–11613 1140 19 ATG TAA
trnS2 + 11395–11458 64 −2 11633–11696 64 −2
nad1 11457–12392 936 0 ATT TAA 11695–12630 936 0 ATT TAA
trnL1 12393–12457 65 0 12631–12700 70 0
rrnL 12458–13857 1400 0 12701–14067 1367 0
trnA 13858–13922 65 14 14068–14131 64 10
trnG 13937–14001 65 0 14142–14208 67 0
rrnS 14002–14791 790 0 14209–14983 775 0
trnV 14792–14857 66 −2 14984–15051 68 −1
trnR 14856–14920 65 18 15051–15113 63 103
nad3 14939–15301 363 0 ATA TAA 15217–15576 360 0 ATA TAA
trnM 15302–15369 68 0 15577–15642 66 0
control region 15370–15962 593 15643–16472 830

+ indicates the gene is coded on majority strand while indicates the gene is coded on minority strand. INT indicates the intergenic nucleotides. Positive values indicate intergenic nucleotides and negative values indicate overlapping nucleotides between two adjacent genes.

In the mitochondrial genome of T. japonicum, a total of 547 bp of intergenic nucleotides ranging from 1 to 81 bp were found in 17 locations. The longest intergenic spacer (81 bp) was found between atp8 and trnD. In the mitochondrial genome of T. ostriniae, there were 870 bp intergenic spacer sequence distributed among 19 locations with lengths from 1 to 171 bp. The longest intergenic spacer (171 bp) was located between trnF and trnI. Long intergenic spaces have been identified in other insect mitochondrial genomes13,34 and were considered as possible results of gene rearrangement29.

Overlapping genes are very common in arthropod mitochondrial genomes3436. In the mitochondrial genome of T. japonicum, a total of 19 bp of overlapping nucleotides were detected with a length from 1 to 7 bp, while in that of T. ostriniae there were 18 bp shared nucleotides in total, also ranging from 1 to 7 bp. In both species, the overlapping regions were found in the same five locations, i.e., atp6-atp8, nad4-nad4l, trnT-trnP, trnS2-nad1 and trnV-trnR. The other 10 pairs of genes in T. japonicum and 13 pairs of genes in T. ostriniae were directly adjacent, without overlapping or intergenic nucleotides.

The sequences of both mitochondrial genomes are biased in nucleotide composition [(A + T)% > (G + C)%] (Table S2), which is common in mitochondrial genomes of suborder Apocrita (Hymenoptera)19,37,38. The parameters of AT skew and GC skew are frequently used to reveal the nucleotide-compositional behavior of mitochondrial genomes3941. In both species, the AT skews of the majority strand were positive, while GC skews were negative, which indicated that the two mitochondrial genomes contained more A than T and more C than G nucleotides (Table S2), as reported for most hymenopteran insects42 (Table S1).

Transfer RNA and ribosomal RNA genes

In total, 22 tRNA genes were interspersed throughout the Trichogramma mitochondrial genomes, of which four were coded on the majority strand while 18 were coded on the minority strand. The tRNA genes ranged from 59 bp (trnS1 in T. japonicum) to 70 bp (trnK in T. japonicum), well within the range observed in other insects (Table 1). All tRNA sequences can be folded into the canonical cloverleaf secondary structure, except for trnS1 which lacked the dihydrouridine (DHU) arm. A lack of the DHU arm in trnS1 was found in the mitochondrial genomes of most insects1,43 and other metazoans44. Variations in the lengths of the variable loop, DHU and TΨC arms result in the different sizes observed in the tRNA sequences45. In total four mismatches (U-U in trnY, trnW, trnG and trnC) were found in T. japonicum and five (U-U in trnY, trnW, trnG, trnC and trnN) in T. ostriniae. Mismatches were located mostly in the DHU and anticodon stems (Figure S1).

As with other insect mitochondrial genome sequences, the large and small ribosomal RNA genes (rrnL and rrnS) were encoded by the minority strand in the same location (between trnL1-trnA and trnG-trnV). In T. japonicum, the length of the rrnS gene was 790 bp with an A + T content of 87.72%, while the rrnL gene was 1400 bp with an A + T content of 88.36%. In T. ostriniae the length of the rrnS gene was 775 bp with an A + T content of 88.52%, while the rrnL gene was 1367 bp with an A + T content of 88.00%.

Protein-coding genes and codon usage patterns

In both the T. japonicum and T. ostriniae mitochondrial genomes, 11 of 13 protein-coding genes were encoded by the minority strand, while two (nad6 and cob) were encoded by the majority strand. All homologous protein-coding genes from the two species had the same length, except for nad3, nad6 and nad5 (Table 1).

In the mitochondrial genome of T. japonicum, the total length of the protein-coding genes was 11,202 bp, accounting for 70.18% of the entire genome. The average A + T content of the 13 protein-coding genes was 83.08%, ranging from 76.04% (cox1) to 90.80% (nad2) for individual genes. In the mitochondrial genome of T. ostriniae, the total length of protein-coding genes was 11,190 bp, accounting for 67.93% of the entire genome. The average A + T content of the 13 protein-coding genes was 83.25%, ranging from 76.37% (cox1) to 91.30% (nad2) for individual genes (Table S2).

The predicted initiation codons are ATN, as in most other insect mitochondrial genomes37,46. In some cases, a given gene may have different start codons in different species. There were seven genes (nad2, nad3, nad1, nad4L, nad5, cox2 and atp8) starting with ATG and five genes (cox1, cob, nad4, atp6 and cox3) starting with ATA in both genomes. In T. ostriniae, nad6 started with ATG, but in T. japonicum it started with ATA. All protein-coding genes terminated at the most common stop codon, TAA, in both genomes, except for nad4l in T. ostriniae, which stopped with TAG, and nad2, which stopped with T and TA in T. ostriniae and T. japonicum, respectively.

Codons with high A/T content were preferred in these two species, as in most insect mitochondrial genomes47. In both species of this study, Ala, Gly, Leu, Pro, Arg, Ser, Thr and Val were the most frequently used amino acids, and UUA (Leu) had the highest relative synonymous codon usage (RSCU) (Table S3). All remaining codons with RSCU > 2.00 preferred A/T in the third codon position.

Control region

Complete control regions were found in both species. The length of the control region was 593 bp in T. japonicum and 830 bp in T. ostriniae, which was well within the range reported in insects21,48. The control region in both species was flanked by trnW and trnM with high A + T content (90.99% in T. japonicum and 89.03% in T. ostriniae).

The control region is believed to function in the initiation of replication and control of transcription of the mitochondrial genome49. This region is usually characterized by five conserved elements8,50 as reported in some insect mitochondrial genomes15. All of those elements could be identified in the mitochondrial genomes of Trichogramma, such as (1) a polyT stretch at the 5′ end of the control region; (2) a [TA(A)]n-like stretch following the polyT stretch; (3) a stem and loop structure (Figure S2); (4) a TATA motif and a G(A)nT motif flanking the stem and loop structure; and (5) a G + A-rich sequence downstream of the stem and loop structure. However, they were not in the typical orders and positions, as reported in some insect species34.

Concerted evolution is common in the insect control region, most obviously in species with repeat units in their control regions such as termites51 but also in species with non-tandemly repeated control regions such as thrips52. Repeat sequences were found in both species of Trichogramma, as have been reported in some other insects15,40. In T. japonicum, three 21-bp tandem repeats of “AGCCTCAAAAATCGGGGTTTT” and two 41-bp tandem repeats of “ATTATTATATAAATTATTTATATTTATATAAATATTTAATA” were found in the control region. In the three 21-bp tandem repeats, three mutations (“GCC” to “CTT”) in the first repeat region were present. The control region of T. ostriniae contained nine 21-bp tandem repeats with several mutations among repeat units (Figure S3). There was an 80-bp perfect repeat of TA in control region of T. ostriniae. The presence of repeat regions may inhibit DNA polymerase and could lead to the failure of sequencing in those regions53,54.

Gene arrangement

In previously studied insect mitochondrial genomes, most rearranged genes were tRNA genes16,25. In the Hymenoptera, numerous rearrangements of protein-coding genes have been identified in several groups1315. Compared with the putative ancestral pattern of the insect mitochondrial genome, dramatic gene rearrangements, not only in tRNA genes but also in protein-coding genes, were found in Trichogramma mitochondrial genomes. In total, 15 of 22 tRNA genes and seven of 13 protein-coding genes were rearranged in Trichogramma compared with the ancestral arrangement (Fig. 2). All genes in the mitochondrial genomes of the two Trichogramma species were encoded by the minority strand, rather than the majority strand, except for two protein-coding genes (cob and nad6) and four tRNA genes (trnE, trnK, trnT and trnS2).

Figure 2.

Figure 2

Mitochondrial genome organization and gene rearrangement in Chalcidoidea compared with the ancestral type of the insect mitochondrial genome. The gene order is linearized for easy view. The gene blocks with inversion are shown in green, while the conserved gene blocks are showed in grey. Genes nomenclature: atp6 and atp8; ATP synthase subunits 6 and 8; cob: cytochrome b; cox13: cytochrome c oxidase subunits 1–3; nad16 and nad4L: NADH dehydrogenase subunits 1–6 and 4 L; rrnS and rrnL: small and large subunit ribosomal RNA (rRNA) genes; Transfer RNA genes are denoted by a one-letter symbol according to the IPUC-IUB single-letter amino acid codes. L1, L2, S1 and S2 denote tRNAL (CUN), tRNAL (UUR), tRNAS (AGN) and tRNAS (UCN), respectively. CR indicate the control region.

Compared with the other sequenced mitochondrial genomes of Chalcidoidea, cox1 was inverted separately in Trichogramma, not together with the gene block of cox1-trnL2. The protein-coding gene nad2 did not change its relative position but changed direction compared with the ancestral type. The gene clusters between cox2-atp8, nad3-nad5, nad2-cox1 and control region-nad2 have been identified as the most frequently rearranged regions in mitochondrial genomes of Hymenoptera13,19, which also applied to Trichogramma. A novel tRNA gene cluster trnE-trnF-trnI-trnS1-trnN-trnC formed between cox1 and cox3. The tRNA cluster trnA-trnG formed between two ribosomal RNA genes; this is also novel in the Hymenoptera, in which the trnV gene is typically located between them30; Although the conservation and inversion of large-scale gene blocks in Trichogramma was similar to other sequenced mitochondria genomes of Chalcidoidea, the rearrangement of protein-coding genes nad2 and cox1 as well as most tRNA genes are novel.

Phylogenetic relationships among families of Chalcidoidea

Currently, mitochondrial genomes have been sequenced from three families of Chalcidoidea in seven species. Phylogenetic relationships among the seven species were reconstructed based on protein-coding genes of the mitochondrial genome.

The results showed that the species Ceratosolen solmsi from Agaonidae was not clustered with two other species of this family, even when the CAT model was used to avoid among-site rate heterogeneities (Fig. 3A). This species had a long branch compared to other species of ingroup, as shown in the original study of the mitochondrial genome of this species14. We predict that the inferred polyphyly of Agaonidae might be caused by long-branch attraction in C. solmsi. The Hymenoptera has been shown to be a group with both rapidly and slowly evolving mitochondrial genomes32. Long branches have been identified in Cephalonomia gallicola (Chrysidoidea: Bethylidae), Wallacidia oculata (Vespoidea: Mutillidae)13,55 and Primeuchroeus spp. (Aculeata: Chrysididae)55. Identification of other species with long branches may help to improve phylogenetic inference of relationships within Hymenoptera.

Figure 3.

Figure 3

Phylogenetic relationships within Chalcidoidea based on the nucleotide and amino acids sequences of 13 protein-coding genes. (A) Seven species of Chalcidoidea with mitochondrial genome sequence were included. (B) Ceratosolen solmsi was excluded from analysis to avoid the potential long-branch attraction. The values separated by “/” near the nodes represent support rates of corresponding node. The six values indicate the posterior probabilities of Mrbayes analysis based on nucleotide and amino acids sequences, bootstrap probabilities of IQ-TREE analysis based on nucleotide and amino acids sequences, posterior probabilities of Phylobayes analysis based on nucleotide and amino acids sequences. “*” indicates the 1.0 Bayesian posterior probability and 100 bootstrap value and “−” indicates the absence of the node in corresponding analysis.

By removing the outlier species C. solmsi from the analysis, a well-supported phylogenetic relationship among three families of Chalcidoidea was generated (Fig. 3B). The Agaonidae and Pteromalidae formed one lineage, which was then sister to Trichogrammatidae. This is congruent with the currently supported phylogeny of Chalcidoidea56.

We also used gene arrangement to reconstruct phylogenetic relationships among the three families. The inferred topology is identical to the one generated from gene sequences (Appendix S1). Our initial work indicates that gene rearrangements of the mitochondrial genome may provide valuable information for recovering phylogenetic relationships within Chalcidoidea. More representative mitochondrial genomes from different groups are needed to validate our assumption.

Ancestral gene order in Chalcidoidea

Large scale gene rearrangements were also found in other sequenced mitochondrial genomes of Chalcidoidea14,30 (Fig. 2). Babbucci et al.23 showed a gene order (GO) named ant1GO as the plesiomorphic GO for Hymenoptera23. Simultaneous rearrangement of large groups of genes has been considered as the initial step of gene rearrangement in the extremely rearranged mitochondrial genomes of Cotesia vestalis15. Rearrangement of large groups of genes was common in species of Chalcidoidea (Fig. 2). By comparisons, a conserved segment of “trnE -trnF -nad5 -trnH -nad4 -nad4L trnT -trnP nad6 cob” was found among ancestral pattern of insect mitochondrial gene arrangement (PanGO), ant1GO and chalcidoid species of Megraphragma31, Philotrypesis14 and Ceratosolen (Fig. 2), and a segment of “trnS2 -nad1 -trnL1 -rrnL” was shared by ant1GO, PanGo and Trichogramma and Megaphragma31 (Fig. 2). Based on the inferred phylogenetic relationships that Trichogrammatidae (Trichogramma + Megaphragma) is sister to (Agaonidae + Pteromalidae) (Fig. 3B), a segment of “trnE -trnF -nad5 -trnH -nad4 -nad4L trnT -trnP nad6 cob trnS2 -nad1 -trnL1 -rrnL” is more plausible as the ancestral pattern of Chalcidoidea. Within Chalcidoidea, an inverted segment “-cox3 -atp6 -atp8 -trnD trnK -cox2 -trnL2 -cox1” compared with PanGO was shared by all analyzed taxa except for Trichogramma. A bigger inverted continuous segment with -nad3 and -trnG was found in Nasonia species30 (Fig. 2), which strongly support the ancestral pattern of “-nad3 -trnG -cox3 -atp6 -atp8 -trnD trnK -cox2 -trnL2 -cox1” for Chalcidoidea. For the tRNA clusters, the pattern of “-D k” was conserved across all analyzed species of Chalcidoidea (Fig. 2). Since there is no conserved pattern in tRNA clusters “trnI -trnQ trnM”, “trnW -trnC -trnY” and “trnA trnR trnN trnS trnE -trnF”, those in ant1GO were presumed as the ancestral pattern of gene order in Chalcidoidea (ChalcidoidGO in Fig. 4).

Figure 4.

Figure 4

Evolution of gene order in mitochondrial genomes Trichogramma explained by software CREx. In total eight rearrangement operations occurred from presumed ancestral gene order of Chalcidoidea (ChalcidoidGO) to form the derived gene order of Trichogramma (TrichogrammaGO). Two alternative sets of scenarios were found, i.e. operations 4–8 and operations 4′–8′.

Rearrangement pathway of Trichogramma

We inferred the evolution of gene arrangement in Trichogramma using CREx by comparing the common intervals between ChalcidoidGO and Trichogramma gene order (TrichogrammaGO) (Fig. 4). Four operations were considered in CREx, i.e., transpositions, inversions, inverse transpositions, and TDRL. The CREx identified eight operations in the evolution of gene arrangement in Trichogramma, including one transposition (operation 1 in Fig. 4, referring to rrnS), two inverse transpositions (operations 2 and 3 in Fig. 4, referring M and W, respectively), two inversions (operations 4–5 in Fig. 4) and three TDRLs (operations 6–8 in Fig. 4).

There are two sets of alternative scenarios in operations 4–8. The first set of scenarios refers to inversions of trnI and tRNA cluster from trnA to trnF, followed by three TDRLs (operations 4–8 in Fig. 4), while the other set refers to inversion of two large gene segments including both tRNA and protein-coding genes, followed by three TDRLs (operations 4′–8′ in Fig. 4). The presence of intergenic spacers located in the position involved in rearrangements and presence of remnant of the genes that changed positions within intergenetic spacers will provide evidence to choose the plausible rearrangement pathways23,57. However, we did not find obvious evidence to support one set of scenarios. Mapping the gene rearrangement patterns on the inferred phylogenetic tree may help to validate the scenarios using MLGO58 or TreeRex59. However, the missing of genes in most species limited the usage of this approach. Rearrangement of tRNA genes are believed to be more frequent than that of large segment3,16. Thus, we presumed that scenarios 4–8 are more plausible than 4′–8′ in rearrangement of Trichogramma mitochondrial genomes. However, we could not exclude other pathways due to the computational complexity in gene order reconstruction and the algorithms implemented in CREx27,57.

Methods

DNA extraction

Specimens of T. japonicum and T. ostriniae were reared in the Insectary of Nanjing Agricultural University. DNA was extracted from individual wasps using a Wizard® Genomic DNA Purification system (Promega) according to the manufacturer’s protocols and stored at −20 °C. The specimens are deposited in the Laboratory of Molecular Ecology and Evolution of Nanjing Agricultural University (T. ostriniae: NJAUHymTrich001; T. japonicum: NJAUHymTrich003).

Mitochondrial genome amplification and annotation

Two short fragments (518 bp) of the cox1 gene were amplified using primer set 1718-COI-F/2191-COI-R (Simon et al. 1994) for T. japonicum and T. ostriniae. PCR products were purified and sequenced directly using the Sanger method at Shanghai Majorbio Bio-pharm Co., Ltd. (Shanghai, China). According to the obtained sequences, specific PCR primers (Table S4) for each species (T. japonicum: Tj-COI-F/Tj-COI-R and T. ostriniae: T0-COI-F/To-COI-R) were designed to amplify the remaining genome by long PCR as a single fragment, using the manufacturer’s rapid PCR protocol. The reaction mixture was composed of 1 μL Tks Gflex DNA Polymerase (Takara), 25 μL buffer, 1 μL of each primer (20 μM), 3 μL of DNA with water added to bring a total volume of 50 μL. The cycling conditions were 94 °C for 1 min, 30 cycles of 98 °C for 10 s, 55 °C for 15 s and 68 °C for 10 min. The PCR products were sequenced on an Illumina HiSeq. 2500 platform at Shanghai Majorbio Bio-pharm Co., Ltd. (Shanghai, China). Sequencing libraries for the long PCR fragments were prepared using a TruSeq DNA Sample Prep Kit (Illumina) following the manufacturer’s instructions. Libraries were purified with Certified Low Range Ultra Agarose (Bio-Rad), quantified on a TBS380 fluorometer (Invitrogen), pooled and sequenced using a HiSeq SBS Kit V4 with tag sequences generating paired-end reads (read length: 250 bp).

Raw sequencing data were generated by Illumina base calling software CASAVAv1.8.2 (http://support.illumina.com/sequencing/sequencing_software/casava.ilmn), and sequences containing adaptors or primers were identified by SeqPrep (https://github.com/jstjohn/SeqPrep). Sickle (https://github.com/najoshi/sickle)60 was applied to conduct reads trimming with default parameters to obtain clean data for this study. In addition, SOAPdenovo (http://soap.genomics.org.cn/, v2.05)61 was used to perform genome assembly with multiple Kmer parameters and assess the assembly results. GapCloser software61 (downloaded from SOAPdenovo website) was subsequently applied to fill the remaining local inner gaps and correct single-base polymorphisms for the final assembly results.

The tRNA genes were initially identified using tRNA-scan SE 1.21 (http://lowelab.ucsc.edu/tRNAscan-SE/)62, with the following parameters: source = Mito/Chloromast, and genetic code = Invertebrate Mito. Twenty of the 22 typical animal mitochondrial tRNA genes were identified. The remaining two tRNA and two rRNA genes were confirmed by the MITOS WebServer using invertebrate mitochondrial genetic code (http://mitos.bioinf.uni-leipzig.de/index.py) (Bernt et al., 2013). ORFinder (http://www.ncbi.nlm.nih.gov/gorf/orfig.cgi) was used to identify protein-coding genes, specifying the invertebrate mitochondrial genetic code.

Genome feature analysis

Base composition, codon usage, Relative Synonymous Codon Usage (RSCU) values and nucleotide substitution were analyzed using MEGA663. GC and AT asymmetries were calculated according to the formulas used in a previous study40. AT- and GC-skews were measured for the majority strand using the formulas AT skew = (A − T)/(A + T) and GC skew = (G − C)/(G + C). The tandem repeats in the control region were predicted using the Tandem Repeats Finder available online (http://tandem.bu.edu/trf/trf.html)64.

Phylogenetic analysis

Phylogenetic relationships among three families of Chalcidoidea with sequenced mitochondrial genomes were reconstructed. A phylogenetic tree was reconstructed based on the nucleotide sequences and amino acid sequences of the 13 protein-coding genes. Nucleotide sequences were aligned by codon using MAFFT version 7.20565. Phylogenetic relationships were reconstructed with MrBayes version 3.2.566, IQ-TREE web server67 and PhyloBayes-MPI68. In MrBayes analyses, matrices were partitioned by codon position. Then, we used PartitionFinder version 1.1.169 to determine the best partition and substitution models. Four independent Markov chains were run for 10 million metropolis-coupled generations, with tree sampling every 1000 generations and a burn-in of 25%. In IQ-TREE analyses, the number of bootstrap replicates was set to 1000 with CAT model (C20 + 4 G)70. The CAT-GTR model was applied in PhyloBayes analyses with independent Markov chain runs of 8000 and a burn-in of 1000 and subsample of 10 trees. Pelecinus polyturator (Proctotrupoidea: Pelecinidae)55 and Vanhornia eucnemidarumI (Proctotrupoidea: Vanhorniidae)71 were chosen as outgroups according to previously inferred phylogenetic relationships among major lineages of Apocrita13,55.

We also inferred phylogenetic relationships among the three families of Chalcidoidea based on gene arrangement patterns. Phylogenetic relationships were inferred using a Maximum Likelihood (ML) method based on gene-order data implemented in the MLGO web server58. We excluded C. solmsi from the analysis due to missing genes and the inclusion of other representatives from the family Agaonidae.

Gene organization analysis

The evolutionary pathways of gene arrangement in Trichogramma were estimated by CREx (Common Interval Rearrangement Explorer)27. The heuristic method based on common interval was used to determine genome rearrangement scenarios between presumed ancestral gene order of Chalcidoidea and that of Trichogramma. Gene rearrangement pattern were mapped to the phylogenetic tree using MLGO web server58. The ChalcidoidGO was used as outgroup.

Data availability statement

The data were deposited into GenBank under accession numbers: KU577436 and KU577437.

Conclusion

The two mitochondrial genomes sequenced in our study from Trichogramma add to our knowledge of the mitochondrial genomes of Hymenoptera. Compared with those of other related insects, the mitochondrial genomes of Trichogramma were significantly rearranged, not only in tRNA genes but also in many protein-coding genes. Congruent tree topologies were recovered using gene sequences, including nucleotides and amino acids. The specific gene order in mitochondrial genomes of these species indicated that gene rearrangement information may represent potentially valuable data for phylogenetic analyses of Chalcidoidea. The availability of the complete mitochondrial genomes of Trichogramma provides information for development of genetic markers to study community ecology, population biology and evolution in this species complex.

Electronic supplementary material

Acknowledgements

This research was funded by the National Natural Science Foundation of China (31472025, 31101661), National Basic Research Program of China (Grant No. 2013CB127600) and Special Fund for Agro-scientific Research of China (201203036).

Author Contributions

Yuan-Xi Li and Shu-Jun Wei conceived and designed the experiments; Long Chen, Xiao-Feng Xue and Hai-Qing Hua performed the experiments; Shu-Jun Wei, Long Cheng and Peng-Yan Chen analyzed the data; Long Chen, Yuan-Xi Li, Shu-Jun Wei wrote the paper. Yuan-Xi Li, Shu-Jun Wei and Fan Zhang discussed the results. All authors reviewed the manuscript.

Competing Interests

The authors declare no competing interests.

Footnotes

Electronic supplementary material

Supplementary information accompanies this paper at 10.1038/s41598-018-25338-3.

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Yuan-Xi Li, Email: yxli@njau.edu.cn.

Shu-Jun Wei, Email: shujun268@163.com.

References

  • 1.Wolstenholme DR. Animal mitochondrial DNA: Structure and evolution. Int Rev Cytol. 1992;141:173–216. doi: 10.1016/S0074-7696(08)62066-5. [DOI] [PubMed] [Google Scholar]
  • 2.Dowton M, Belshaw R, Austin AD, Quicke DLJ. Simultaneous molecular and morphological analysis of Braconid relationships (Insecta: Hymenoptera: Braconidae) indicates independent mt-tRNA gene inversions within a single wasp family. J Mol Evol. 2002;54:210–226. doi: 10.1007/s00239-001-0003-3. [DOI] [PubMed] [Google Scholar]
  • 3.Cameron SL. Insect mitochondrial genomics: Implications for evolution and phylogeny. Annu Rev Entomol. 2014;59:95–117. doi: 10.1146/annurev-ento-011613-162007. [DOI] [PubMed] [Google Scholar]
  • 4.Boore JL, Brown WM. Big trees from little genomes: mitochondrial gene order as a phylogenetic tool. Curr Opin Genet Dev. 1998;8:668–674. doi: 10.1016/S0959-437X(98)80035-X. [DOI] [PubMed] [Google Scholar]
  • 5.Li Q, et al. Multiple lines of evidence from mitochondrial genomes resolve phylogenetic relationships of parasitic wasps in Braconidae. Genome Biol. Evol. 2016;8:2651–2562. doi: 10.1093/gbe/evw184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mao M, Austin AD, Johnson NF, Dowton M. Coexistence of minicircular and a highly rearranged mtDNA molecule suggests that recombination shapes mitochondrial genome organization. Mol Biol Evol. 2014;31:636–644. doi: 10.1093/molbev/mst255. [DOI] [PubMed] [Google Scholar]
  • 7.Shao RF, Campbell NJH, Schmidt ER, Barker SC. Increased rate of gene rearrangement in the mitochondrial genomes of three orders of hemipteroid insects. Mol Biol Evol. 2001;18:1828–1832. doi: 10.1093/oxfordjournals.molbev.a003970. [DOI] [PubMed] [Google Scholar]
  • 8.Boore JL. Animal mitochondrial genomes. Nucleic Acids Research. 1999;27(1714):1767–1780. doi: 10.1093/nar/27.8.1767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Covacin C, Shao R, Cameron S, Barker SC. Extraordinary number of gene rearrangements in the mitochondrial genomes of lice (Phthiraptera: Insecta) Insect Mol Biol. 2006;15:63–68. doi: 10.1111/j.1365-2583.2005.00608.x. [DOI] [PubMed] [Google Scholar]
  • 10.Cameron SL, Yoshizawa K, Mizukoshi A, Whiting MF, Johnson KP. Mitochondrial genome deletions and minicircles are common in lice (Insecta: Phthiraptera) BMC Genomics. 2011;12:394. doi: 10.1186/1471-2164-12-394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cameron SL, Johnson KP, Whiting MF. The mitochondrial genome of the screamer louse Bothriometopus (Phthiraptera: Ischnocera): effects of extensive gene rearrangements on the evolution of the genome. J Mol Evol. 2007;65:589–604. doi: 10.1007/s00239-007-9042-8. [DOI] [PubMed] [Google Scholar]
  • 12.Chen WJ, et al. The mitochondrial genome of Sinentomon erythranum (Arthropoda: Hexapoda: Protura): An example of highly divergent evolution. BMC Evol Biol. 2011;11:246. doi: 10.1186/1471-2148-11-246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wei SJ, Li Q, van Achterberg K, Chen XX. Two mitochondrial genomes from the families Bethylidae and Mutillidae: independent rearrangement of protein-coding genes and higher-level phylogeny of the Hymenoptera. Molecular Phylogenetics and Evolution. 2014;77:1–10. doi: 10.1016/j.ympev.2014.03.023. [DOI] [PubMed] [Google Scholar]
  • 14.Xiao JH, Jia JG, Murphy RW, Huang DW. Rapid evolution of the mitochondrial genome in chalcidoid wasps (Hymenoptera: Chalcidoidea) driven by parasitic lifestyles. Plos One. 2011;6:e26645. doi: 10.1371/journal.pone.0026645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wei SJ, Shi M, Sharkey MJ, van Achterberg C, Chen XX. Comparative mitogenomics of Braconidae (Insecta: Hymenoptera) and the phylogenetic utility of mitochondrial genomes with special reference to holometabolous insects. BMC Genomics. 2010;11:371. doi: 10.1186/1471-2164-11-371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Dowton M, Cameron SL, Dowavic JI, Austin AD, Whiting MF. Characterization of 67 mitochondrial tRNA gene rearrangements in the Hymenoptera suggests that mitochondrial tRNA gene position is selectively neutral. Mol Biol Evol. 2009;26:1607–1617. doi: 10.1093/molbev/msp072. [DOI] [PubMed] [Google Scholar]
  • 17.Sankoff D, et al. Gene order comparisons for phylogenetic inference: evolution of the mitochondrial genome. Proceedings of the National Academy of Sciences, USA. 1992;89:6575–6579. doi: 10.1073/pnas.89.14.6575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Boore JL, Lavrov DV, Brown WM. Gene translocation links insects and crustaceans. Nature. 1998;392:667–668. doi: 10.1038/33577. [DOI] [PubMed] [Google Scholar]
  • 19.Mao M, Gibson T, Dowton M. Evolutionary dynamics of the mitochondrial genome in the evaniomorpha (hymenoptera)-a group with an intermediate rate of gene rearrangement. Genome Biol. Evol. 2014;6:1862–1874. doi: 10.1093/gbe/evu145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dowton M, Austin AD. Increased genetic diversity in mitochondrial genes is correlated with the evolution of parasitism in the Hymenoptera. J Mol Evol. 1995;41:958–965. doi: 10.1007/BF00173176. [DOI] [PubMed] [Google Scholar]
  • 21.Shao R, Campbell NJH, Barker SC. Numerous gene rearrangements in the mitochondrial genome of the wallaby louse, Heterodoxus macropus (Phthiraptera) Mol Biol Evol. 2001;18:858–865. doi: 10.1093/oxfordjournals.molbev.a003867. [DOI] [PubMed] [Google Scholar]
  • 22.Shao R, Barker SC. Rates of gene rearrangement and nucleotide substitution are correlated in the mitochondrial genomes of insects. Mol Biol Evol. 2003;20:1612–1619. doi: 10.1093/molbev/msg176. [DOI] [PubMed] [Google Scholar]
  • 23.Babbucci M, Basso A, Scupola A, Patarnello T, Negrisolo E. Is it an ant or a butterfly? Convergent evolution in the mitochondrial gene order of Hymenoptera and Lepidoptera. Genome Biol. Evol. 2014;6:3326–3343. doi: 10.1093/gbe/evu265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Dowton M, Castro LR, Campbell SL, Bargon SD, Austin AD. Frequent mitochondrial gene rearrangements at the Hymenopteran nad3-nad5 junction. J Mol Evol. 2003;56:517–526. doi: 10.1007/s00239-002-2420-3. [DOI] [PubMed] [Google Scholar]
  • 25.Dowton M, Austin AD. Evolutionary dynamics of a mitochondrial rearrangement “hot spot“ in the Hymenoptera. Mol Biol Evol. 1999;16:298–309. doi: 10.1093/oxfordjournals.molbev.a026111. [DOI] [PubMed] [Google Scholar]
  • 26.Dowton M, Castro LR, Austin AD. Mitochondrial gene rearrangements as phylogenetic characters in the invertebrates: the examination of genome ‘morphology’. Invertebr Syst. 2002;16:345–356. doi: 10.1071/IS02003. [DOI] [Google Scholar]
  • 27.Bernt M, et al. CREx: inferring genomic rearrangements based on common intervals. Bioinformatics. 2007;23:2957–2958. doi: 10.1093/bioinformatics/btm468. [DOI] [PubMed] [Google Scholar]
  • 28.Wei SJ, Wu QL, van Achterberg K, Chen XX. Rearrangement of the nad1 gene in Pristaulacus compressus (Spinola) (Hymenoptera: Evanioidea: Aulacidae) mitochondrial genome. Mitochondrial DNA. 2015;26:629–630. doi: 10.3109/19401736.2013.834436. [DOI] [PubMed] [Google Scholar]
  • 29.Wu QL, et al. The complete mitochondrial genome of Taeniogonalos taihorina (Bischoff) (Hymenoptera: Trigonalyidae) reveals a novel gene rearrangement pattern in the Hymenoptera. Gene. 2014;543:76–84. doi: 10.1016/j.gene.2014.04.003. [DOI] [PubMed] [Google Scholar]
  • 30.Oliveira DCSG, Raychoudhury R, Lavrov DV, Werren JH. Rapidly evolving mitochondrial genome and directional selection in mitochondrial genes in the parasitic wasp Nasonia (Hymenoptera: Pteromalidae) Mol Biol Evol. 2008;25:2167–2180. doi: 10.1093/molbev/msn159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Nedoluzhko, A. V. et al. Mitochondrial genome of Megaphragma amalphitanum (Hymenoptera: Trichogrammatidae). Mitochondrial DNA, 10.3109/19401736.19402015.11101546 (2015). [DOI] [PubMed]
  • 32.Dowton M, Cameron SL, Austin AD, Whiting MF. Phylogenetic approaches for the analysis of mitochondrial genome sequence data in the Hymenoptera – A lineage with both rapidly and slowly evolving mitochondrial genomes. Mol Phylogenet Evol. 2009;52:512–519. doi: 10.1016/j.ympev.2009.04.001. [DOI] [PubMed] [Google Scholar]
  • 33.Mao M, Dowton M. Complete mitochondrial genomes of Ceratobaeus sp. and Idris sp. (Hymenoptera: Scelionidae): shared gene rearrangements as potential phylogenetic markers at the tribal level. Mol Biol Rep. 2014;41:6419–6427. doi: 10.1007/s11033-014-3522-x. [DOI] [PubMed] [Google Scholar]
  • 34.Wei SJ, Shi M, He JH, Sharkey MJ, Chen XX. The complete mitochondrial genome of Diadegma semiclausum (Hymenoptera: Ichneumonidae) indicates extensive independent evolutionary events. Genome. 2009;52:308–319. doi: 10.1139/G09-008. [DOI] [PubMed] [Google Scholar]
  • 35.Machida RJ, Miya MU, Nishida M, Nishida S. Complete mitochondrial DNA sequence of Tigriopus japonicus (Crustacea: Copepoda) Mar Biotechnol. 2002;4:406–417. doi: 10.1007/s10126-002-0033-x. [DOI] [PubMed] [Google Scholar]
  • 36.Ito A, Aoki MN, Yokobori S, Wada H. The complete mitochondrial genome of Caprella scaura (Crustacea, Amphipoda, Caprellidea), with emphasis on the unique gene order pattern and duplicated control region. Mitochondrial DNA. 2010;21:183–190. doi: 10.3109/19401736.2010.517834. [DOI] [PubMed] [Google Scholar]
  • 37.Crozier RH, Crozier YC. The mitochondrial genome of the honeybee Apis mellifera: complete sequence and genome organization. Genetics. 1993;133:97–117. doi: 10.1093/genetics/133.1.97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Cameron SL, et al. Mitochondrial genome organization and phylogeny of two vespid wasps. Genome. 2008;51:800–808. doi: 10.1139/G08-066. [DOI] [PubMed] [Google Scholar]
  • 39.Hassanin A, Léger N, Deutsch J. Evidence for multiple reversals of asymmetric mutational constraints during the evolution of the mitochondrial genome of metazoa, and consequences for phylogenetic inferences. Systematic Biology. 2015;54:277–298. doi: 10.1080/10635150590947843. [DOI] [PubMed] [Google Scholar]
  • 40.Wei SJ, et al. New views on strand asymmetry in insect mitochondrial genomes. Plos One. 2010;5:e12708. doi: 10.1371/journal.pone.0012708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Perna NT, Kocher TD. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. J Mol Evol. 1995;41:353–358. doi: 10.1007/BF01215182. [DOI] [PubMed] [Google Scholar]
  • 42.Hasegawa E, Kobayashi K, Yagi N, Tsuji K. Complete mitochondrial genomes of normal and cheater morphs in the parthenogenetic ant Pristomyrmex punctatus (Hymenoptera: Formicidae) Myrmecol. News. 2011;15:85–90. [Google Scholar]
  • 43.Wang YZ, Jin GH, Zhu JY, Wei SJ. The mitochondrial genome of the garden pea leafminer Chromatomyia horticola (Goureau, 1851) (Diptera: Agromyzidae) Mitochondrial DNA. 2016;27:2653–2655. doi: 10.3109/19401736.2015.1043531. [DOI] [PubMed] [Google Scholar]
  • 44.Lavrov DV, Brown WM, Boore JL. A novel type of RNA editing occurs in the mitochondrial tRNAs of the centipede Lithobius forficatus. Proc Natl Acad Sci USA. 2000;97:13738–13742. doi: 10.1073/pnas.250402997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Clary DO, Wolstenholme DR. The mitochondrial DNA molecule of Drosophila yakuba: Nucleotide sequence, gene organization, and genetic code. J Mol Evol. 1985;22:252–271. doi: 10.1007/BF02099755. [DOI] [PubMed] [Google Scholar]
  • 46.Korkmaz EM, Dogan O, Budak M, Basibuyuk HH. Two nearly complete mitogenomes of wheat stem borers, Cephus pygmeus (L.) and Cephus sareptanus Dovnar-Zapolskij (Hymenoptera: Cephidae): An unusual elongation of rrnS gene. Gene. 2015;558:254–264. doi: 10.1016/j.gene.2014.12.069. [DOI] [PubMed] [Google Scholar]
  • 47.Foster PG, Jermiin LS, Hickey DA. Nucleotide composition bias affects amino acid content in proteins coded by animal mitochondria. J Mol Evol. 1997;44:282–288. doi: 10.1007/PL00006145. [DOI] [PubMed] [Google Scholar]
  • 48.Zhou ZJ, Huang Y, Shi FM. The mitochondrial genome of Ruspolia dubia (Orthoptera: Conocephalidae) contains a short A + T-rich region of 70 bp in length. Genome. 2007;50:855–866. doi: 10.1139/G07-057. [DOI] [PubMed] [Google Scholar]
  • 49.Wei SJ, Tang P, Zheng LH, Shi M, Chen XX. The complete mitochondrial genome of Evania appendigaster (Hymenoptera: Evaniidae) has low A + T content and a long intergenic spacer between atp8 and atp6. Molecular Biology Reports. 2010;37:1931–1942. doi: 10.1007/s11033-009-9640-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Zhang DX, Hewitt GM. Insect mitochondrial control region: A review of its structure, evolution and usefulness in evolutionary studies. Biochem Syst Ecol. 1997;25:99–120. doi: 10.1016/S0305-1978(96)00042-7. [DOI] [Google Scholar]
  • 51.Cameron SL, Whiting MF. Mitochondrial genomic comparisons of the subterranean termites from the Genus Reticulitermes (Insecta: Isoptera: Rhinotermitidae) Genome Priority Reports. 2007;50:188–202. doi: 10.1139/g06-148. [DOI] [PubMed] [Google Scholar]
  • 52.Shao R, Barker SC. The highly rearranged mitochondrial genome of the Plague Thrips, Thrips imaginis (Insecta: Thysanoptera): convergence of two novel gene boundaries and an extraordinary arrangement of rRNA genes. Molecular Biology and Evolution. 2003;20:362–370. doi: 10.1093/molbev/msg045. [DOI] [PubMed] [Google Scholar]
  • 53.Hu M, Jex AR, Campbell BE, Gasser RB. Long PCR amplification of the entire mitochondrial genome from individual helminths for direct sequencing. Nature Protocals. 2007;2:2339–2344. doi: 10.1038/nprot.2007.358. [DOI] [PubMed] [Google Scholar]
  • 54.Liu MX, Zhang ZS, Peng ZG. The mitochondrial genome of the water spider Argyroneta aquatica (Araneae: Cybaeidae) Zool Scr. 2015;44:179–190. doi: 10.1111/zsc.12090. [DOI] [Google Scholar]
  • 55.Mao M, Gibson T, Dowton M. Higher-level phylogeny of the Hymenoptera inferred from mitochondrial genomes. Mol Phylogenet Evol. 2015;84:34–43. doi: 10.1016/j.ympev.2014.12.009. [DOI] [PubMed] [Google Scholar]
  • 56.Munro JB, et al. A molecular phylogeny of the Chalcidoidea (Hymenoptera) Plos one. 2011;6:e27023. doi: 10.1371/journal.pone.0027023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Basso A, et al. The highly rearranged mitochondrial genomes of the crabs Maja crispata and Maja squinado (Majidae) and gene order evolution in Brachyura. Scientific reports. 2017;7:4096. doi: 10.1038/s41598-017-04168-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hu F, Lin Y, Tang J. MLGO: phylogeny reconstruction and ancestral inference from gene-order data. BMC Bioinformatics. 2014;15:354. doi: 10.1186/s12859-014-0354-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Bernt, M., Merkle, D. & Middendorf, M. In Comparative Genomics. RECOMB-CG2008. Lecture Notes in Computer Science Vol. 5267 (eds C. E. Nelson & S. Vialette) 143–157 (Springer, 2008).
  • 60.Tantia MS, et al. Whole-genome sequence assembly of the water buffalo (Bubalus bubalis) Indian J Anim Sci. 2011;81:465–473. [Google Scholar]
  • 61.Luo R, et al. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. GigaScience. 2012;1:1. doi: 10.1186/2047-217X-1-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Lowe TM, Eddy SR. tRNAscan-SE: A program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997;25:955–964. doi: 10.1093/nar/25.5.0955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Tamura, K., Stecher, G., Peterson, D., Filipski, A. & Kumar, S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol. Biol. Evol., mst197 (2013). [DOI] [PMC free article] [PubMed]
  • 64.Benson G. Tandem repeats finder: a program to analyze DNA sequences. Nucleic acids research. 1999;27:573–580. doi: 10.1093/nar/27.2.573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution. 2013;30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Ronquist F, et al. MrBayes 3.2: efficient bayesian phylogenetic inference and model choice across a large model space. Systematic Biology. 2012;61:539–542. doi: 10.1093/sysbio/sys029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Molecular biology and evolution. 2015;32:268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Lartillot N, Lepage T, Blanquart S. PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating. Bioinformatics. 2009;25:2286–2288. doi: 10.1093/bioinformatics/btp368. [DOI] [PubMed] [Google Scholar]
  • 69.Lanfear R, Calcott B, Ho SY, Guindon S. Partitionfinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses. Molecular Biology and Evolution. 2012;29:1695–1701. doi: 10.1093/molbev/mss020. [DOI] [PubMed] [Google Scholar]
  • 70.Lartillot N, Philippe H. A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. Mol Biol Evol. 2004;21:1095–1109. doi: 10.1093/molbev/msh112. [DOI] [PubMed] [Google Scholar]
  • 71.Castro LR, Ruberu K, Dowton M. Mitochondrial genomes of Vanhornia eucnemidarum (Apocrita: Vanhorniidae) and Primeuchroeus spp. (Aculeata: Chrysididae): Evidence of rearranged mitochondrial genomes within the Apocrita (Insecta: Hymenoptera) Genome. 2006;49:752–766. doi: 10.1139/g06-030. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Data Availability Statement

The data were deposited into GenBank under accession numbers: KU577436 and KU577437.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES