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Article

Complete Mitogenomic Structure and Phylogenetic Implications of the Genus Ostrinia (Lepidoptera: Crambidae)

by
Nan Zhou
1,2,†,
Yanling Dong
1,2,†,
Pingping Qiao
1,2 and
Zhaofu Yang
1,2,*
1
Key Laboratory of Plant Protection Resources and Pest Management, Ministry of Education, Northwest A&F University, Yangling 712100, China
2
Entomological Museum, College of Plant Protection, Northwest A&F University, Yangling 712100, China
*
Author to whom correspondence should be addressed.
†
These authors have equally contributed in this study.
Insects 2020, 11(4), 232; https://doi.org/10.3390/insects11040232
Submission received: 7 March 2020 / Revised: 1 April 2020 / Accepted: 3 April 2020 / Published: 7 April 2020
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Abstract

:
To understand mitogenome characteristics and reveal phylogenetic relationships of the genus Ostrinia, including several notorious pests of great importance for crops, we sequenced the complete mitogenomes of four species: Ostrinia furnacalis (Guenée, 1854), Ostrinia nubilalis (Hübner, 1796), Ostrinia scapulalis (Walker, 1859) and Ostrinia zealis (Guenée, 1854). Results indicate that the four mitogenomes—O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis—are 15,245, 15,248, 15,311, and 15,208 bp in size, respectively. All four mitogenomes are comprised of 37 encoded genes and a control region. All 13 protein-coding genes (PCGs) initiate with ATN and terminate with TAN, with the exception of cox1 that starts with CGA, and cox1, cox2, and nad5 that terminate with an incomplete codon T. All transfer RNA genes (tRNAs) present the typical clover-leaf secondary structure except for the trnS1 (AGN) gene. There are some conserved structural elements in the control region. Our analyses indicate that nad6 and atp6 exhibit higher evolution rates compared to other PCGs. Phylogenetic analyses based on mitogenomes using both maximum likelihood (ML) and Bayesian inference (BI) methods revealed the relationship (O. palustralis + (O. penitalis + (O. zealis + (O. furnacalis + (O. nubilalis + O. scapulalis))))) within Ostrinia.

1. Introduction

The genus Ostrinia (Hübner) belongs to the subfamily Pyraustinae (Lepidoptera: Crambidae) [1,2,3] and includes several well-known agricultural pests (e.g., O. furnacalis and O. nubilalis) that cause huge losses of crops around the world [4,5,6]. Globally, Tichogramma spp. [7], transgenic crops [8], and sex pheromone traps [9] have been conducted as control strategies to reduce the threat to crops caused by Ostrinia spp. As different species exhibit distinct responses to specific biocontrol agents and pesticides, accurate species-level identification is very important in pest management. However, species identification of Ostrinia spp. is exceptionally difficult due to the many sibling species that are morphologically indistinguishable. Additionally, the phylogenetic relationships of this genus based on molecular data conflicts with the morphology-based taxonomy in previous studies. Mutuura and Munroe (1970) divided this genus into three species groups [2]. The first species group contains a single American species, O. penitalis (Grote, 1876), which has a trifid juxta and unarmed sacculus in the male genitalia. The second species group includes nine species with the sacculus dorsally spined and a simple or bifid uncus in the male genitalia. The third species group, also named the trifid-uncus species group, consists of ten species mainly occurring in Europe, East Asia, and Northwestern Africa. Within this third species group, three subgroups are recognized according to the differences in male mid-tibia. The first subgroup contains four species including O. nubilalis and O. furnacalis with smaller mid-tibia and lacking any groove or scales. The second subgroup includes two species, namely O. kurentzovi (Mutuura and Munroe, 1970) and O. narynensis (Mutuura and Munroe, 1970), with a moderately dilated tibia and a fringe of enlarged curved scales. The third subgroup consists of four species, including O. scapulalis and O. zealis, possessing a strongly dilated tibia and massive scales in the groove.
Mutuura and Munroe (1970) stated that the three species groups within the genus Ostrinia are monophyletic and indicated that O. penitalis is the most primitive species. The second group was defined as monophyletic because the members share potential synapomorphies in male genitalia [2]. The third species group has been intensively studied on the basis of their morphology, pheromones, and DNA sequence. Based on the complexity of the male tibia, Mutuura and Munroe (1970) considered that the species with the smallest tibia is the most primitive, then the species with the medium tibia are intermediate, and finally, the species with the large tibia and massive tuft are the most derived.
Frolov (1981, 1984) stated that the variation in the male mid-tibia was determined by two alleles. The Mt and Mt+ were two alleles located on autosomes and controlled the size of the mid-tibia, while i and i+ were two alleles located on Z-sex-linked chromosomes and controlled the groove appearance. Mt/Mt+ and i/i+ follow a Mendelian inheritance pattern [10,11]. Additionally, Frolov (1981, 1984) found that the O. scapulalis (sensu lato) feeding on dicotyledons may be a single species with polymorphic male-tibia rather than three distinct species regardless of the size of the male-tibia [12,13,14]. Kim et al. (1999) inferred the phylogenetic relationship among second and third species groups by using the mitochondrial gene COII and found that two species groups were both monophyletic [15]. One cluster included two species with a bifid uncus (group II) and another comprised of six trifid-uncus species (group III). Interestingly, within this third species group, O. scapulalis (with a massive mid-tibia) was clustered into a clade with O. nubilalis (with small mid-tibia). Similarly, Yang et al. (2011) found that the relationship among four trilobed species was (O. zealis + (O. furnacalis + (O. nubilalis + O. scapulalis))) based on the mitochondrial gene COI [16]. Lassance et al. (2013) revealed the same topology of the genus based on both the mitochondrial genes and nuclear genes as in Kim et al. (1999) and Yang et al. (2011) [17]. These results imply that the relationship among species within the third group inferred through molecular data was incongruent with Mutuura and Munroe (1970). The phylogenetic relationships among members within this genus remain controversial. In particular, it is uncertain what contributes to delimiting the boundaries between species groups and taxa which are largely based on male genitalia. Furthermore, is the male tibia a polymorphism or stable character valid to subdivide members within the third species group?
The insect mitochondrial genome is a compact circular double-stranded molecule comprised of 37 encoding genes: 13 protein-encoding genes (PCGs), 22 transfer RNA genes (tRNAs), and two ribosomal RNA genes (rRNAs). It contains a special noncoding sequence called the control region or A+T-rich region [18]. The mitochondrial genome has been widely used to study taxonomy, population genetics, and phylogenetic relationships because of the extremely low rate of recombination, maternal inheritance, and faster evolutionary rate compared to nuclear DNA [19,20,21,22]. The mitogenome, in general, provides more phylogenetic information due to significant sequence differences that could be observed among related species compared to a single mitochondrial gene or a few genes [23,24,25,26,27].
However, mitogenome sequences of Ostrinia spp. are still lacking. Only one complete mitogenome (group II O. palustralis) and three partial mitogenomic sequences (group I O. penitalis, group III O. nubilalis, and O. furnacalis) have been reported in previous studies [28,29,30]. In this study, we attempt to sequence the complete mitogenomes of O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis and reconstruct the phylogenetic relationships within the three species groups of the genus Ostrinia.

2. Materials and Methods

2.1. Specimen Collection and DNA Isolation

All specimens for the four species, O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis were collected by light trap or sweeping net from different localities in China and preserved either in a dried condition under 20 °C or in 100% ethanol in a −20 °C freezer (Supplementary Table S1). Samples were identified based on external morphological and male genital characters according to Mutuura and Munroe (1970) [2]. In order to confirm the identities, we generated the 658 base pair (bp) barcode region of COI sequences from a single leg using the DNAeasy DNA Extraction kit following the manufacturer’s protocols. LepF1/LepR1 primers were used to PCR amplify DNA fragments from the COI gene [31]. DNA products were subsequently bidirectionally sequenced by Sangon Biotechnology Co. Ltd (Shanghai, China). The COI sequences were cross-checked against the Barcode of Life Database [32]. Results showed that all samples were up to 99.8% similar to published Ostrinia species. For sequencing mitochondrial genome sequences, genomic DNA was extracted from thorax tissues by using a genomic DNA extraction kit following the manufacturer’s protocol (Biomarker, Beijing, China). All samples were deposited at the Entomological Museum, Northwest A&F University, Yangling, Shaanxi, China. Two additional mitochondrial genome sequences were downloaded from the GenBank for O. penitalis and O. palustralis [28,30].

2.2. Sequence Analysis and Gene Annotation

Complete mitogenomes were sequenced using the Illumina HiSeq platform with paired reads of 2 × 150 bp at Biomarker Technologies Co. Ltd (Beijing, China). MitoZ v 2.4 was implemented to construct annotated mitogenome from raw data under the all module by default [33]. The all module includes four steps: raw data pre-treatment, de novo assembly with SOAPdenvo-Trans, mitogenome sequence identification, and mitogenome annotation. All annotated mitogenomes were rechecked using Geneious v 11.0.2 (Biomatters, Auckland, New Zealand) based on previously published Ostrinia mitogenomes [34]. Correctly annotated mitogenomes were illustrated using the visualize module of MitoZ which employed Circos to show the gene element and sequence depth distribution. The tRNAs secondary structure was predicted using MITOS Web Serve (http://mitos2.bioinf.uni-leipzig.de/index.py) [35] with invertebrate mitochondrial gene codes then edited manually using Adobe Illustrator CC2019 according to the predicted results.
Nucleotide composition, composition skew, codon usage, relative synonymous codon using (RSCU), and architecture tables were calculated by PhyloSuite v 1.2.1 [36]. The tandem repeats of the A+T-rich region were established by Tandem Repeats Finder Online server (http://tandem.bu.edu/trf/trf.html) [37]. The sliding window analysis (a sliding window of 200 bp and a step size of 20) and evolutionary rate analysis were conducted with DnaSP v 5.0 based on 13 aligned protein-coding genes (PCGs) [38]. Genetic distances between species based on each PCG was estimated using Mega v 7.0 with Kimura-2-parameter [39]. In this study, the four newly-sequenced mitogenomes were deposited in GenBank with the accession numbers of MN793322-MN793325.

2.3. Phylogenetic Analysis

For phylogenetic analysis (Table 1), both O. penitalis and O. palustralis were added as ingroups. Two published species mitogenomes, Loxostege sticticalis (Crambidae: Pyraustinae, Linnaeus, 1761) and Cnaphalocrocis medinalis (Crambidae: Spilomelinae, Guenée, 1854), were selected as outgroups [28,30,40,41]. PhyloSuite v 1.2.1 was used to extract the mitochondrial genes. Then each PCG was aligned by MAFFT v 7.313 plugin in PhyloSuite using codon alignment mode [42]. Two rRNAs were aligned individually by the MAFFT-with-extensions software with the Q-INS-i strategy [42]. Gblocks v 0.91b was used to remove gaps and ambiguous sites [43]. Aligned PCGs and rRNAs were concatenated by PhyloSuite respectively [36].
Based on previous studies, 13PCGs and two rRNAs were widely used to construct a phylogenetic relationship. Moreover, replicate analyses including or excluding the third codons could test variability in the phylogenetic performance [20,44]. Herein, the phylogenetic analyses were reconstructed by the Bayesian inference (BI) and the maximum likelihood (ML) methods based on four datasets: all codon positions for the 13 PCGs (PCG123), all codon positions for the 13 PCGs and two rRNA genes (PCG123R), the 13 PCGs excluding the third codon position (PCG12), and the 13 PCGs excluding the third codon position and two rRNA genes (PCG12R). The best partitioning schemes and evolution models of both BI analyses and ML analyses were estimated using PartitionFinder v 2.1.1 integrated into PhyloSuite using the greedy search algorithm with branch lengths linked and Bayesian information criterion (BIC) [45]. The best-fit substitution results are shown in (Supplementary Tables S2 and S3). BI analyses were performed using MrBayes v 3.2.6 with default settings and 5 × 106 Markov chain Monte Carlo (MCMC) generations, sampled every 1000 generations [46]. The average standard deviation of split frequencies <0.01 was considered to reach convergence. The initial 25% of sampled data were discarded as burn-in. ML analyses were performed by using IQ-TREE v 1.6.8 under ultrafast bootstraps with 1000 replicates [47].

3. Results and Discussion

3.1. Mitogenome Structure and Organization

Five complete mitogenomes including the newly sequenced four mitogenomes in this study and the O. palustralis mitogenome downloaded from GenBank were analyzed. The length of entire mitogenome sequences ranged from 15,208 bp to 15,311 bp and included 37 genes (13PCGs, 22 tRNAs, and two rRNAs) and a control region. Among the 37 mitochondrial genes, 23 genes (9 PCGs and 14 tRNAs) were found on the majority strand (J-strand) and the remaining genes (4 PCGs, 8 tRNAs, and 2 rRNAs) were located on the minority strand (N-strand). Five mitogenomes show the typical circular double-stranded molecule structure and the same arrangement. The gene order is identical to those of mitogenomes in Pyraloidea and is characterized by trnM-trnI-trnQ while it differs from ancestral groups with trnI-trnQ-trnM [48,49,50] (Figure 1 and Supplementary Tables S4–S9).
All five complete mitogenomes show similar nucleotide composition. On average, five entire mitogenomes contain A = 41.74%, T = 39.14%, C = 11.50%, and G = 7.70% with a high A+T content congruent with those of other Pyraloidea [51]. The control region has the highest AT bias (94.24%) among the whole mitogenome. In general, all mitogenomes have a slightly positive AT-skew = 0.032 and negative GC-skew = −0.196 (Table 2).
In O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis mitogenomes, 14 intergenic spacers (ranging from 1 bp to 62 bp) were observed with a total length from 170 bp to 175 bp. By contrast, there were 18 intergenic spacers in O. palustralis (ranging from 1 bp to 61 bp). All five mitogenomes show some similar intergenic spacers. Particularly, two intergenic spacers are common with most mitogenomes of Pyraloidea [52], including the longest (about 61 bp) intergenic spacer located between trnQ and nad2 genes and the intergenic spacer (about 30 bp) located between trnS2 and nad1. There were nine overlapping genes regions ranging from 1 bp to 8 bp in length in four mitogenomes (O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis), while seven overlapping genes regions (ranging from 1 bp to 8 bp) were present in O. palustralis. Among the five mitogenomes, the longest overlapping sequence was located between trnW and trnC (about 8 bp) and the second was located between atp8 and atp6 (about 7 bp).

3.2. Protein-coding Genes

All PCGs among the five complete mitogenomes are similar in general character with a total length of about 11,163 bp (Tables S4–S9). Four PCGs (nad1, nad4, nad4L, and nad5) were encoded on the N-strand; the others (cox1, cox2, cox3, cytb, atp6, atp8, nad2, nad3, and nad6) were encoded on the J-strand. Most PCGs initiate with ATN with the exception of the cox1 that initiates with CGA. The majority of PCGs for these five complete mitogenomes terminated with TAA or TAG except for three genes (cox1, cox2, and nad5) that stopped with an incomplete codon T. By contrast, all PCGs in O. penitalis were represented by traditional TAG and TAA stop codons [30]. This incomplete terminating codon among arthropod mitogenomes is a common phenomenon, which might be related to post-transcriptional modification during mRNA maturation [53]. The relative synonymous codon usage (RSCU) is shown in (Figure 2). The codon usage of these six species is roughly the same. Overall codon usage analysis indicated that the codon ending up with T or A is more frequent than C or G. The most prevalent usage codons were UUA-Leu2, AUU-Ile, UUU-Phe, and AUA-Met, all composed with A and T which contribute to the high A + T bias of the entire mitogenomes. In total, the codon usage of these six Ostrinia spp. is very similar to those of other Pyraloidea [54].

3.3. Ribosomal and Transfer RNA Genes

For five complete mitogenomes, the length of rrnL ranges from 1332 bp to 1341 bp and is located between trnL1 and trnV. The length of rrnS ranges from 778 bp to 779 bp and is located between trnV and the control region. Both rrnL and rrnS show a negative AT-skew and positive GC-skew and are encoded on the N-strand. The A+T content was roughly the same (ca. 85%) for the two rRNA genes among these five mitogenomes (Table 2).
The transfer RNA genes of five complete mitogenomes are dispersed among the genes of rRNA and PCG. The length of tRNA gene sequences ranges from 65 to 71 bp, and the entire tRNAs are 1480 bp on average. The tRNAs show both positive AT-skew and GC-skew. Twenty one tRNAs were observed to fold into a cloverleaf structure, except for the trnS1 (AGN) in which the DHU arm forms a simple loop (Figure 3). The partial amino acid acceptor stems and anticodon loops are highly conserved, while the DHU and TΨC arms are variable. There were two frequent types of miss pairings including non-canonical G-U pairs and mismatched base pairs U-U. Among the five complete mitogenomes, O. scapulalis and O. nubilalis are characterized as the same transfer RNA genes and the four species with trilobed uncus (group III) are similar to each other. Of all tRNAs, the trnG, trnS1(AGN), and trnT are identical among species, implying the lowest variation. In contrast, the trnI and trnH indicate relatively higher nucleotide substitutions. These results indicate that the tRNAs are relatively conserved which is similar to other Pyraloidea [55].

3.4. Control Region

The control region, also called the A + T-rich region in insects [56], is the major non-coding region, which plays an important role in the study of molecular evolution [57]. This region contains regulatory elements for replication and transcription. Among five complete mitogenomes, this control region is flanked by rrnS and trnM with a length of 330 bp in O. furnacalis, 332 bp in O. nubilalis, 402 bp in O. scapulalis, 300 bp in O. zealis, and 330 bp in O. palustralis. This indicates that O. scapulalis possesses a much longer control region whereas the remaining four species are similar to other Pyraloidea (about 339 bp) [58,59].
The nucleotide composition of the control region among these five species exhibits both negative AT-skew and GC-skew, with A + T content approximately 94% (Table 2). The results indicate that the control region exhibits a high similarity of conserved structural elements among five species (Figure 4). Many conserved blocks reported in other published Pyraloidea mitogenomes are also found in the control region elements of these five mitogenomes [60]. We infer that three conserved blocks in the control region—e.g., a conserved block (about 25 bp) terminate with the motif ‘TTAGA’ preceded a long poly-T stretch, a varied and typical microsatellite-like (TA)n element, and a conserved block (about 34 bp)—end up with an ‘A-rich’ upstream of trnM. These conserved blocks may be involved in controlling the replication and transcription of the mitogenome. The motif ‘TTAGA + poly-T stretch’ detected in the genus Ostrinia differs from many sequenced Lepidoptera with ‘ATAGA + ploy-T stretch’ motif that resides downstream of rrnS [61], suggesting that the motif ‘TTAGA’ followed by a long poly-T stretch might be the origin of light-strand replication within the genus Ostrinia.

3.5. Nucleotide Diversity Analyses

In this study, the sliding window analysis was implemented to study the nucleotide diversity based on 13 aligned PCGs of O. furnacalis, O. nubilalis, O. scapulalis, O. palustralis, O. zealis, and O. penitalis (Figure 5A). Our results indicate that the nad6 (pi = 0.055) and atp6 (pi = 0.052) were found to have slightly higher nucleotide diversity than other genes, while the genes cox2, cox3, nad2, nad3, and nad5 exhibit a relatively low nucleotide diversity of 0.040, 0.040, 0.036, 0.033, 0.034, and atp8 shows the lowest value (pi = 0.018). Congruent results were observed according to pairwise genetic distance analysis: atp6 (0.055) and nad6 (0.058) are evolving comparatively faster, while atp8 (0.019) and nad3 (0.034) are evolving comparatively slow (Figure 5B). The evolutionary rate analysis estimated by the average non-synonymous (Ka) and synonymous (Ks) substitution rates of 13 PCGs among the six mitogenomes ranged from 0.009 to 0.614 (0 < ω < 1), indicating that all PCGs are under purifying selection. Additionally, cox1 exhibits the strongest purifying selection with the lowest Ka/Ks value (0.009). Both nad6 (0.083) and atp6 (0.102) show slightly higher Ka/Ks values than most of other PCGs, indicating they are likely to be under a relaxed purifying selection. The atp8 with the extremely higher (Ka/Ks = 0.614) values may be an outlier, similar results were observed in the previous study [62].
The mitochondrial gene cox1 has been one of the commonly used markers and a powerful tool for identifying species and inferring the phylogenetic relationship due to it is easy amplification. However, the efficiency of species identification, particularly delimitation of closely-related taxa based on the cox1 gene has received more concern [63]. In this study, we found that the cox1 gene exhibits a relatively conserved and slow evolution rate compared to other PCGs, while atp6 and nad6 genes have a relatively faster evolution rate and evolve under comparative relaxed purifying selection, suggesting that atp6 and nad6 would be two suitable candidate markers for clarifying the phylogenetic relationships for indistinguishable sibling species.

3.6. Phylogenetic Relationships

The phylogenetic relationships among six Ostrinia spp. were inferred based on four datasets (PCG123, PCG123R, PCG12, PCG12R). Our results indicate that the topology of ML and BI analyses was highly congruent (Figure 6), suggesting that the relationships within this genus are (O. palustralis + (O. penitalis + (O. zealis + (O. furnacalis + (O. nubilalis + O. scapulalis))))) with high support values. Both ML and BI trees revealed that the third species group is monophyletic. However, the relationships among them are different from the Mutuura and Munroe (1970) classification based on morphological data [2].
The representative of the first species group O. penitalis might not be the most primitive species as it may not constitute the basal elements of the genus instead of O. palustralis, which is the main difference to Mutuura and Munroe’s (1970) classification. Our results show that all members of the third group (O. zealis, O. furnacalis, O. nubilalis, and O. scapulalis) are grouped into a clade with high support values (PP = 1, BS = 100). Within this group, O. furnacalis, O. nubilalis, and O. scapulalis were clustered together and sister to O. zealis. We also found that O. nubilalis and O. scapulalis were placed into a subclade with strong nodal support values (PP = 1, BS = 100). Our findings highly support the phylogenetic relationship within the third group revealed by mitochondrial COI and COII in previous studies [15,16]. In other words, our results confirmed that the division of three subgroups within the third species group based on male mid-tibia by Mutuura and Munroe (1970) needs to be reconsidered. Frolov (1981, 1984) and Frolov et al. (2007, 2011) stated that the male mid-tibia structure was unstable and overstated in distinguishing the species of the genus Ostrinia [10,11,12,13,14]. For example, the mid-tibia differences may be just intraspecific polymorphisms of O. scapulalis and not reliable taxonomic characters to distinguish species among Ostrinia. Therefore, the mid-tibia polymorphism most likely misled Mutuura and Munroe (1970) to split the trifid-uncus group into three subgroups without any molecular evidence. Therefore, additional sampling of taxa and markers would be helpful to clarify this contradiction between the morphology-based and molecular-based phylogenies of the genus Ostrinia.

4. Conclusions

In this study, we newly sequenced four complete mitogenomes including O. furnacalis, O. nubilalis, O. scapulalis, and O. zealis. Compared to other previously reported complete mitogenomes of Ostrinia, all of them have similar structural characters and nucleotide composition. All mitogenomes were composed of 37 typically encoded genes and a control region. Most PCGs initiate with ATN and terminate with TAN, while cox1 starts with CGA and cox1, cox2, and nad5 terminate with an incomplete codon T. All tRNAs can fold into a clover-leaf secondary structure except the trnS1(AGN) gene which lacks the DHU arm. Both the rrnS gene and rrnL gene are relatively conserved. Some conserved blocks in the control region are observed which may be typical structural elements among Ostrinia mitogenomes. It is worth mentioning that nad6 and atp6 show relatively higher variability and evolve under slightly relaxed purifying selection than other PCGs. The phylogenetic analysis indicates that (O. palustralis + (O. penitalis + (O. zealis + (O. furnacalis + (O. nubilalis + O. scapulalis) within Ostrinia. Furthermore, we proposed that O. penitalis might not be the most primitive species. The division of the third species group based on male mid-tibia needs to be reconsidered.

Supplementary Materials

The following are available online at https://www.mdpi.com/2075-4450/11/4/232/s1, Table S1: Collection information of sampled specimens in this study, Table S2: The best partitioning schemes and models for Maximum likelihood (ML) method based on four datasets selected by PartitionFinder, Table S3: The best partitioning schemes and models for Bayesian inference (BI) method based on four datasets selected by PartitionFinder, Table S4: Mitogenomic organization of Ostrinia penitalis, Table S5: Mitogenomic organization of Ostrinia palustralis, Table S6: Mitogenomic organization of Ostrinia furnacalis, Table S7: Mitogenomic organization of Ostrinia nubilalis, Table S8: Mitogenomic organization of Ostrinia scapulalis, Table S9: Mitogenomic organization of Ostrinia zealis.

Author Contributions

Conceptualization, N.Z. and Z.Y.; Specimen collection and identification, N.Z., P.Q., and Z.Y.; Methodology and Experiments, N.Z., Y.D., P.Q., and Z.Y.; Data analysis, N.Z., and Y.D.; Writing—Original Draft Preparation, N.Z.; Writing—Review & Editing, N.Z., Y.D., P.Q., and Z.Y.; Funding Acquisition, Z.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (31772508, 31201733), Natural Science Foundation of Shaanxi Province (2016JM3026), National Key Research and Development Program of China (2016YFC0501502), and the Chinese Universities Scientific Fund (2452015012).

Acknowledgments

We thank John Richard Schrock (Emporia State University, Emporia, KS, USA) for reviewing the manuscript and greatly improving early versions.

Conflicts of Interest

All authors declare no conflicting interests.

References

  1. Yang, R.S.; Wang, Z.Y.; He, K.L. Advances in phylogenetic and taxonomic studies on genus Ostrinia. Plant Prot. Beijing 2007, 33, 20–25. [Google Scholar] [CrossRef]
  2. Mutuura, A.; Munroe, E. Taxonomy and distribution of the European corn borer and allied species: Genus Ostrinia (Lepidoptera: Pyralidae). Mem. Entomol. Soc. Can. 1970, 102, 1–112. [Google Scholar] [CrossRef]
  3. Park, K.T. Taxonomic study of the corn stem borer in Korea with allied species of the genus Ostrinia (Lep.; Pyralidae). Korean. J. Appl. Entomol. 1975, 14, 221–225. [Google Scholar]
  4. Jiang, F.; Zhang, T.; Bai, S.; Wang, Z.; He, K. Evaluation of Bt corn with pyramided genes on efficacy and insect resistance management for the Asian corn borer in China. PLoS ONE 2016, 11, e0168442. [Google Scholar] [CrossRef] [Green Version]
  5. Afidchao, M.M.; Musters, C.J.; de Snoo, G.R. Asian corn borer (ACB) and non-ACB pests in GM corn (Zea mays L.) in the Philippines. Pest Manag. Sci. 2013, 69, 792–801. [Google Scholar] [CrossRef]
  6. Zhang, F.; Babendreier, D.; Wang, Z.Y.; Il, K.S.; Zheng, L.; Pyon, Y.C.; Bai, S.X.; Song, K.; Ri, J.O.; Grossrieder, M.; et al. Mass releases of Trichogramma ostriniae increase maize production in DPR Korea. J. Appl. Entomol. 2010, 134, 481–490. [Google Scholar] [CrossRef]
  7. Wu, L.H.; Hill, M.P.; Thomson, L.J.; Hoffmann, A.A. Assessing the current and future biological control potential of Trichogramma ostriniae on its hosts Ostrinia furnacalis and Ostrinia nubilalis. Pest Manag. Sci. 2018, 74, 1513–1523. [Google Scholar] [CrossRef]
  8. Bourguet, D.; Chaufaux, J.; Seguin, M.; Buisson, C.; Hinton, J.L.; Stodola, T.J.; Porter, P.; Cronholm, G.; Buschman, L.L.; Andow, D.A. Frequency of alleles conferring resistance to Bt maize in French and US corn belt populations of the European corn borer, Ostrinia nubilalis. Theor. Appl. Genet. 2003, 106, 1225–1233. [Google Scholar] [CrossRef]
  9. Gemeno, C.; Sans, A.; Lopez, C.; Albajes, R.; Eizaguirre, M. Pheromone antagonism in the European corn borer moth Ostrinia nubilalis. J. Chem. Ecol. 2006, 32, 1071–1084. [Google Scholar] [CrossRef]
  10. Frolov, A.N. Genetic analysis of ‘large’ tibia—The taxonomic character of brush-leg borer Ostrinia scapulalis Wlk. (Lepidoptera, Pyraustidae). Genetika 1981, 17, 2160–2166. (In Russian) [Google Scholar]
  11. Frolov, A.N. Biotaxonomic analysis of harmful species of the genus Ostrinia Hbn. Ethologiya Nasek. Tr. Vsesoyuznogo Entomol. Obs. 1984, 6, 4–100. (In Russian) [Google Scholar]
  12. Frolov, A.N.; Audiot, P.; Bourguet, D.; Kononchuk, A.G.; Malysh, J.M.; Ponsard, S.; Streiff, R.; Tokarev, Y.S. From Russia with lobe: Genetic differentiation in trilobed uncus Ostrinia spp. Follows food plant, not hairy legs. Heredity 2012, 108, 147–156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Frolov, A.N.; Bourguet, D.; Ponsard, S. Reconsidering the taxomony of several Ostrinia species in the light of reproductive isolation: A tale for Ernst Mayr. Biol. J. Linn. Soc. 2007, 91, 49–72. [Google Scholar] [CrossRef] [Green Version]
  14. Frolov, A.N. Variation in the European corn borer, Ostrinia nubilalis, and allies (Lepidoptera: Pyralidae). Mem. Soc. R. Belg. Entomol. 1998, 38, 1–21. [Google Scholar]
  15. Kim, C.G.; Hoshizaki, S.; Huang, Y.P.; Tatsuki, S.; Ishikawa, Y. Usefulness of mitochondrial COII gene sequences in examining phylogenetic relationships in the Asian corn borer, Ostrinia furnacalis, and allied species (Lepidoptera: Pyralidae). Appl. Entomol. Zool. 1999, 34, 405–412. [Google Scholar] [CrossRef] [Green Version]
  16. Yang, R.S.; Wang, Z.Y.; He, K.L. Genetic diversity and phylogeny of the genus Ostrinia (Lepidoptera: Crambidae) inhabiting China inferred from mitochondrial COI gene. J. Nanjing Agric. Univ. 2011, 34, 73–80. [Google Scholar]
  17. Lassance, J.M.; Lienard, M.A.; Antony, B.; Qian, S.; Fujii, T.; Tabata, J.; Ishikawa, Y.; Lofstedt, C. Functional consequences of sequence variation in the pheromone biosynthetic gene pgFAR for Ostrinia moths. Proc. Natl. Acad. Sci. India Sect. A 2013, 110, 3967–3972. [Google Scholar] [CrossRef] [Green Version]
  18. Boore, J.L. Animal mitochondrial genomes. Nucleic Acids Res. 1999, 27, 1767–1780. [Google Scholar] [CrossRef] [Green Version]
  19. Cameron, S.L. How to sequence and annotate insect mitochondrial genomes for systematic and comparative genomics research. Syst. Entomol. 2014, 39, 400–411. [Google Scholar] [CrossRef] [Green Version]
  20. Cameron, S.L. Insect mitochondrial genomics: Implications for evolution and phylogeny. Annu. Rev. Entomol. 2014, 59, 95–117. [Google Scholar] [CrossRef] [Green Version]
  21. Simon, C.; Buckley, T.R.; Frati, F.; Stewart, J.B.; Beckenbach, A.T. Incorporating molecular evolution into phylogenetic analysis, and a new compilation of conserved polymerase chain reaction primers for animal mitochondrial DNA. Annu. Rev. Ecol. Evol. Syst. 2006, 37, 545–579. [Google Scholar] [CrossRef] [Green Version]
  22. Curole, J.P.; Kocher, T.D. Mitogenomics: Digging deeper with complete mitochondrial genomes. Trends Ecol. Evol. 1999, 14, 394–398. [Google Scholar] [CrossRef]
  23. Simon, C. Molecular systematics at the species boundary: Exploiting conserved and variable regions of the mitochondrial genome of animals via direct sequencing from amplified DNA. In Molecular Techniques in Taxonomy; Springer: Berlin/Heidelberg, Germany, 1991; pp. 33–71. [Google Scholar] [CrossRef]
  24. Cheng, Y.C.; Chen, M.Y.; Wang, J.F.; Liang, A.P.; Lin, C.P. Some mitochondrial genes perform better for damselfly phylogenetics: Species-and population-level analyses of four complete mitogenomes of Euphaea sibling species. Syst. Entomol. 2018, 43, 702–715. [Google Scholar] [CrossRef]
  25. Simon, C.; Frati, F.; Beckenbach, A.; Crespi, B.; Liu, H.; Flook, P. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Ann. Entomol. Soc. Am. 1994, 87, 651–701. [Google Scholar] [CrossRef]
  26. Qin, J.; Zhang, Y.; Zhou, X.; Kong, X.; Wei, S.; Ward, R.D.; Zhang, A.-B. Mitochondrial phylogenomics and genetic relationships of closely related pine moth (Lasiocampidae: Dendrolimus) species in China, using whole mitochondrial genomes. BMC Genom. 2015, 16, 428. [Google Scholar] [CrossRef] [Green Version]
  27. Boore, J.L. The use of genome-level characters for phylogenetic reconstruction. Trends Ecol. Evol. 2006, 21, 439–446. [Google Scholar] [CrossRef]
  28. Hwang, E.J.; Kim, M.J.; Kim, S.S.; Kim, I. Complete mitochondrial genome of Ostrinia palustralis memnialis Walker, 1859 (Lepidoptera: Crambidae). Mitochondrial DNA Part B 2019, 4, 1364–1366. [Google Scholar] [CrossRef]
  29. Coates, B.S.; Sumerford, D.V.; Hellmich, R.L.; Lewis, L.C. Partial mitochondrial genome sequences of Ostrinia nubilalis and Ostrinia furnicalis. Int. J. Biol. Sci. 2005, 1, 13–18. [Google Scholar] [CrossRef] [Green Version]
  30. Coates, B.S.; Abel, C.A. The mitochondrial genome of the American lotus borer, Ostrinia penitalis (Lepidoptera: Crambidae). Mitochondrial DNA Part A 2016, 27, 1938–1939. [Google Scholar] [CrossRef]
  31. Hebert, P.D.N.; Penton, E.H.; Burns, J.M.; Janzen, D.H.; Hallwachs, W. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. Proc. Natl. Acad. Sci. India Sect. A 2004, 101, 14812–14817. [Google Scholar] [CrossRef] [Green Version]
  32. Ratnasingham, S.; Hebert, P.D.N. BOLD: The barcode of life data system (http://www.barcodinglife.org). Mol. Ecol. Notes 2007, 7, 355–364. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Meng, G.L.; Li, Y.Y.; Yang, C.T.; Liu, S.L. MitoZ: A toolkit for animal mitochondrial genome assembly, annotation and visualization. Nucleic Acids Res. 2019, 47, e63. [Google Scholar] [CrossRef] [PubMed]
  34. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C. Geneious basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef] [PubMed]
  35. Bernt, M.; Donath, A.; Jühling, F.; Externbrink, F.; Florentz, C.; Fritzsch, G.; Pütz, J.; Middendorf, M.; Stadler, P.F. MITOS: Improved de novo metazoan mitochondrial genome annotation. Mol. Phylogenet. Evol. 2013, 69, 313–319. [Google Scholar] [CrossRef]
  36. Zhang, D.; Gao, F.L.; Jakovlić, I.; Zou, 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. 2020, 20, 348–355. [Google Scholar] [CrossRef]
  37. Benson, G. Tandem repeats finder: A program to analyze DNA sequences. Nucleic Acids Res. 1999, 27, 573–580. [Google Scholar] [CrossRef] [Green Version]
  38. Librado, P.; Rozas, J. DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics 2009, 25, 1451–1452. [Google Scholar] [CrossRef] [Green Version]
  39. 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] [Green Version]
  40. Wan, X.L.; Kim, M.J.; Kim, I. Description of new mitochondrial genomes (Spodoptera litura, Noctuoidea and Cnaphalocrocis medinalis, Pyraloidea) and phylogenetic reconstruction of Lepidoptera with the comment on optimization schemes. Mol. Biol. Rep. 2013, 40, 6333–6349. [Google Scholar] [CrossRef]
  41. Ma, H.F.; Zheng, X.X.; Peng, M.H.; Bian, H.X.; Chen, M.M.; Liu, Y.Q.; Jiang, X.; Qin, L. Complete mitochondrial genome of the meadow moth, Loxostege sticticalis (Lepidoptera: Pyraloidea: Crambidae), compared to other Pyraloidea moths. J. Asia Pac. Entomol. 2016, 19, 697–706. [Google Scholar] [CrossRef]
  42. 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] [PubMed] [Green Version]
  43. 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] [PubMed] [Green Version]
  44. Kim, M.J.; Kang, A.R.; Jeong, H.C.; Kim, K.G.; Kim, I. Reconstructing intraordinal relationships in Lepidoptera using mitochondrial genome data with the description of two newly sequenced lycaenids, Spindasis takanonis and Protantigius superans (Lepidoptera: Lycaenidae). Mol. Phylogenet. Evol. 2011, 61, 436–445. [Google Scholar] [CrossRef]
  45. 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. 2016, 34, 772–773. [Google Scholar] [CrossRef] [Green Version]
  46. Ronquist, F.; Teslenko, M.; Van Der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, 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]
  47. 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. 2014, 32, 268–274. [Google Scholar] [CrossRef]
  48. Liu, Q.Y.; Jiang, X.H.; Hou, X.H.; Yang, H.; Chen, W.L. The mitochondrial genome of Ephestia elutella (Insecta: Lepidoptera: Pyralidae). Mitochondrial DNA Part B 2018, 3, 189–190. [Google Scholar] [CrossRef] [Green Version]
  49. Park, J.S.; Kim, M.J.; Ahn, S.J.; Kim, I. Complete mitochondrial genome of the grass moth Glyphodes quadrimaculalis (Lepidoptera: Crambidae). Mitochondrial DNA Part A 2015, 26, 247–249. [Google Scholar] [CrossRef]
  50. Yang, M.S.; Shi, S.S.; Dai, P.; Song, L.; Liu, X.M. Complete mitochondrial genome of Palpita hypohomalia (Lepidoptera: Pyraloidea: Crambidae) and its phylogenetic implications. Eur. J. Entomol. 2018, 115, 708–717. [Google Scholar] [CrossRef]
  51. Yang, M.S.; Song, L.; Mao, J.H.; Shi, Y.X.; Wu, C.J.; Zhang, Y.X.; Huang, L.; Peng, W.F.; Liu, X.M. Complete mitochondrial genome of the soybean leaffolder, Omiodes indicata (Lepidoptera: Pyraloidea: Crambidae), and phylogenetic analysis for Pyraloidea. Int. J. Biol. Macromol. 2018, 115, 53–60. [Google Scholar] [CrossRef]
  52. Dai, L.S.; Zhou, X.D.; Kausar, S.; Abbas, M.N.; Wu, L.; Zhou, H.L. Mitochondrial genome of Diaphania indica(saunders) (Lepidoptera: Pyraloidea) and implications for its phylogeny. Int. J. Biol. Macromol. 2018, 108, 981–989. [Google Scholar] [CrossRef] [PubMed]
  53. Ojala, D.; Montoya, J.; Attardi, G. tRNA punctuation model of RNA processing in human mitochondria. Nature 1981, 290, 470–474. [Google Scholar] [CrossRef] [PubMed]
  54. Liu, Q.N.; Chai, X.Y.; Bian, D.D.; Zhou, C.L.; Tang, B.P. The complete mitochondrial genome of Plodia interpunctella (Lepidoptera: Pyralidae) and comparison with other Pyraloidea insects. Genome 2016, 59, 37–49. [Google Scholar] [CrossRef] [PubMed]
  55. Zhu, W.; Yan, J.; Song, J.; You, P. The first mitochondrial genomes for Pyralinae (Pyralidae) and Glaphyriinae (Crambidae), with phylogenetic implications of Pyraloidea. PLoS ONE 2018, 13. [Google Scholar] [CrossRef] [Green Version]
  56. Taylor, M.F.; McKechnie, S.W.; Pierce, N.; Kreitman, M. The lepidopteran mitochondrial control region: Structure and evolution. Mol. Biol. Evol. 1993, 10, 1259–1272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Zhang, D.X.; Hewitt, G.M. Insect mitochondrial control region: A review of its structure, evolution and usefulness in evolutionary studies. Biochem. Syst. Ecol. 1997, 25, 99–120. [Google Scholar] [CrossRef]
  58. Chen, S.; Li, F.H.; Lan, X.E.; You, P. The complete mitochondrial genome of Pycnarmon lactiferalis (Lepidoptera: Crambidae). Mitochondrial DNA Part B 2016, 1, 638–639. [Google Scholar] [CrossRef] [Green Version]
  59. Chai, H.N.; Du, Y.Z.; Zhai, B.P. Characterization of the complete mitochondrial genomes of Cnaphalocrocis medinalis and Chilo suppressalis (Lepidoptera: Pyralidae). Int. J. Biol. Sci. 2012, 8, 561–579. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Cao, S.S.; Du, Y.Z. Characterization of the complete mitochondrial genome of Chilo auricilius and comparison with three other rice stem borers. Gene 2014, 548, 270–276. [Google Scholar] [CrossRef] [PubMed]
  61. Cameron, S.L.; Whiting, M.F. The complete mitochondrial genome of the tobacco hornworm, Manduca sexta, (Insecta: Lepidoptera: Sphingidae), and an examination of mitochondrial gene variability within butterflies and moths. Gene 2008, 408, 112–123. [Google Scholar] [CrossRef] [PubMed]
  62. Ma, L.; Liu, F.; Chiba, H.; Yuan, X. The mitochondrial genomes of three skippers: Insights into the evolution of the family Hesperiidae (Lepidoptera). Genomics 2019, 112, 432–441. [Google Scholar] [CrossRef] [PubMed]
  63. Lunt, D.H.; Zhang, D.X.; Szymura, J.M.; Hewltt, O.M. The insect cytochrome oxidase I gene: Evolutionary patterns and conserved primers for phylogenetic studies. Insect Mol. Biol. 1996, 5, 153–165. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Complete mitochondrial genomes of four species. The innermost circle and middle circle indicate the GC content and read depth distribution, respectively. Light purple blocks show the depth upper than the minimum (default 20); the green blocks show the depth greater than the upper quartile and the green line indicates the outline. The outermost circle shows the arrangement of the genes: blue for the CDS, red for tRNAs, and orange for rRNAs.
Figure 1. Complete mitochondrial genomes of four species. The innermost circle and middle circle indicate the GC content and read depth distribution, respectively. Light purple blocks show the depth upper than the minimum (default 20); the green blocks show the depth greater than the upper quartile and the green line indicates the outline. The outermost circle shows the arrangement of the genes: blue for the CDS, red for tRNAs, and orange for rRNAs.
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Insects 11 00232 g002 550
Figure 2. Relative synonymous codon usage (RSCU) in the mitogenomes of Ostrinia spp.
Figure 2. Relative synonymous codon usage (RSCU) in the mitogenomes of Ostrinia spp.
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Insects 11 00232 g003 550
Figure 3. Predicted secondary cloverleaf structure for the tRNAs of O. furnacalis, O. nubilalis, O. scapulalis, O. zealis, and O. palustralis.
Figure 3. Predicted secondary cloverleaf structure for the tRNAs of O. furnacalis, O. nubilalis, O. scapulalis, O. zealis, and O. palustralis.
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Insects 11 00232 g004 550
Figure 4. Organization of control region in mitogenomes of O. furnacalis, O. nubilalis, O. scapulalis, O. zealis, and O. palustralis. The orange block is the tandem repeat region, the dark blue block indicates non-repeat regions and the green circle is the poly-T stretch. The motif ‘TTAGA’ is highlighted by purple.
Figure 4. Organization of control region in mitogenomes of O. furnacalis, O. nubilalis, O. scapulalis, O. zealis, and O. palustralis. The orange block is the tandem repeat region, the dark blue block indicates non-repeat regions and the green circle is the poly-T stretch. The motif ‘TTAGA’ is highlighted by purple.
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Insects 11 00232 g005 550
Figure 5. (A) Sliding window analysis based on 13 aligned PCGs. The red line shows the value of nucleotide diversity Pi (window size = 200 bp, step size =20 bp). The gene names and Pi values are shown in the graph. (B) Genetic distance (on average) and non-synonymous (Ka) to synonymous (Ks) substitution rates of 13 PCGs among six Ostrinia spp.
Figure 5. (A) Sliding window analysis based on 13 aligned PCGs. The red line shows the value of nucleotide diversity Pi (window size = 200 bp, step size =20 bp). The gene names and Pi values are shown in the graph. (B) Genetic distance (on average) and non-synonymous (Ka) to synonymous (Ks) substitution rates of 13 PCGs among six Ostrinia spp.
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Insects 11 00232 g006 550
Figure 6. The phylogenetic tree of Ostrinia spp. based on the dataset of PCG123. ML and BI analyses show the same topology. The numbers under the branches are Bayesian posterior probabilities (PP) and bootstrap support values (BS). Scale bar represents nucleotide substitutions per site.
Figure 6. The phylogenetic tree of Ostrinia spp. based on the dataset of PCG123. ML and BI analyses show the same topology. The numbers under the branches are Bayesian posterior probabilities (PP) and bootstrap support values (BS). Scale bar represents nucleotide substitutions per site.
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Table
Table 1. The mitogenomic sequences used in this study.
Table 1. The mitogenomic sequences used in this study.
SubfamilySpeciesWhole LengthGenBank Accession No.Reference
PyraustinaeLoxostege sticticalis15,218 KR080490[41]
Ostrinia palustralis15,246 MH574940[28]
Ostrinia penitalis12,612 KM395814.1[30]
Ostrinia furnacalis15,245 MN793323This study
Ostrinia nubilalis15,248 MN793322This study
Ostrinia scapulalis15,311 MN793324This study
Ostrinia zealis15,208 MN793325This study
SpilomelinaeCnaphalocrocis medinalis15,368 NC_022669[40]
Table
Table 2. Nucleotide composition and skewness of five Ostrinia spp. mitogenomes.
Table 2. Nucleotide composition and skewness of five Ostrinia spp. mitogenomes.
RegionsSpeciesSize (bp)T%C%A%G%AT(%)GC(%)AT SkewGC Skew
Full genomeO. furnacalis15,24539.2 11.4 41.8 7.6 81.0 19.0 0.032 −0.199
O. nubilalis15,24839.2 11.5 41.7 7.7 80.9 19.2 0.031 −0.196
O. scapulalis15,31139.3 11.4 41.7 7.7 81.0 19.1 0.030 −0.196
O. zealis15,20839.2 11.4 41.7 7.7 80.9 19.1 0.031 −0.193
O. palustralis15,24638.8 11.6 41.8 7.8 80.6 19.4 0.036 −0.198
PCGsO. furnacalis11,16345.0 9.9 34.5 10.6 79.5 20.5 −0.132 0.036
O. nubilalis11,16345.0 9.9 34.4 10.7 79.4 20.6 −0.133 0.042
O. scapulalis11,16345.0 9.8 34.4 10.7 79.4 20.5 −0.133 0.043
O. zealis11,16345.0 9.8 34.5 10.7 79.5 20.5 −0.132 0.040
O. palustralis11,16044.9 10.0 34.2 10.8 79.1 20.8 −0.135 0.039
1st codon positionO. furnacalis372137.0 9.6 37.4 16.0 74.4 25.6 0.006 0.253
O. nubilalis372137.0 9.5 37.3 16.2 74.3 25.7 0.004 0.258
O. scapulalis372137.0 9.6 37.3 16.2 74.3 25.8 0.005 0.256
O. zealis372137.1 9.4 37.4 16.1 74.5 25.5 0.004 0.262
O. palustralis372037.2 9.5 36.7 16.6 73.9 26.1 −0.006 0.272
2nd codon positionO. furnacalis372148.7 16.2 21.9 13.2 70.6 29.4 −0.379 −0.104
O. nubilalis372148.6 16.3 21.9 13.2 70.5 29.5 −0.379 −0.105
O. scapulalis372148.6 16.3 21.9 13.2 70.5 29.5 −0.379 −0.104
O. zealis372148.6 16.3 21.9 13.2 70.5 29.5 −0.378 −0.106
O. palustralis372048.5 16.3 21.8 13.3 70.3 29.6 −0.380 −0.103
3rd codon positionO. furnacalis372149.3 3.8 44.2 2.6 93.5 6.4 −0.055 −0.188
O. nubilalis372149.3 3.8 44.0 2.9 93.3 6.7 −0.056 −0.141
O. scapulalis372149.4 3.7 44.1 2.8 93.5 6.5 −0.057 −0.132
O. zealis372149.4 3.8 44.2 2.7 93.6 6.5 −0.055 −0.167
O. palustralis372049.1 4.2 44.1 2.6 93.2 6.8 −0.054 −0.234
tRNAsO. furnacalis148039.8 7.8 41.7 10.7 81.5 18.5 0.023 0.161
O. nubilalis148039.8 7.7 41.7 10.8 81.5 18.5 0.023 0.168
O. scapulalis147939.8 7.7 41.6 10.8 81.4 18.5 0.022 0.168
O. zealis147739.9 7.8 41.4 10.9 81.3 18.7 0.019 0.167
O. palustralis148139.7 7.3 42.1 10.9 81.8 18.2 0.030 0.197
rRNAsO. furnacalis212043.3 4.8 42.0 9.9 85.3 14.7 −0.016 0.350
O. nubilalis211843.3 4.8 42.0 9.9 85.3 14.7 −0.015 0.350
O. scapulalis211743.3 4.8 42.0 9.9 85.3 14.7 −0.015 0.348
O. zealis211743.3 4.8 42.0 9.9 85.3 14.7 −0.014 0.344
O. palustralis211043.5 4.9 41.2 10.4 84.7 15.3 −0.027 0.362
Control regionO. furnacalis33051.2 4.5 42.7 1.5 93.9 6.0 −0.090 −0.500
O. nubilalis33251.2 4.5 42.5 1.8 93.7 6.3 −0.093 −0.429
O. scapulalis40252.5 4.5 41.3 1.7 93.8 6.2 −0.119 −0.440
O. zealis30051.7 5.0 42.3 1.0 94.0 6.0 −0.099 −0.667
O. palustralis33050.3 3.3 45.5 0.9 95.8 4.2 −0.051 −0.571

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Zhou, N.; Dong, Y.; Qiao, P.; Yang, Z. Complete Mitogenomic Structure and Phylogenetic Implications of the Genus Ostrinia (Lepidoptera: Crambidae). Insects 2020, 11, 232. https://doi.org/10.3390/insects11040232

AMA Style

Zhou N, Dong Y, Qiao P, Yang Z. Complete Mitogenomic Structure and Phylogenetic Implications of the Genus Ostrinia (Lepidoptera: Crambidae). Insects. 2020; 11(4):232. https://doi.org/10.3390/insects11040232

Chicago/Turabian Style

Zhou, Nan, Yanling Dong, Pingping Qiao, and Zhaofu Yang. 2020. "Complete Mitogenomic Structure and Phylogenetic Implications of the Genus Ostrinia (Lepidoptera: Crambidae)" Insects 11, no. 4: 232. https://doi.org/10.3390/insects11040232

APA Style

Zhou, N., Dong, Y., Qiao, P., & Yang, Z. (2020). Complete Mitogenomic Structure and Phylogenetic Implications of the Genus Ostrinia (Lepidoptera: Crambidae). Insects, 11(4), 232. https://doi.org/10.3390/insects11040232

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