Structural Analysis and Phylogenetic Relationship of a Lepidopteran Scopelodes kwangtungensis Based on its Complete Mitochondrial Genome Sequence
Structural Analysis and Phylogenetic Relationship of a Lepidopteran Scopelodes kwangtungensis Based on its Complete Mitochondrial Genome Sequence
Pengfei Chu, Jie Xing, Fang Li, Ting Li and Zhenglei Qiao*
College of Life Science and Technology, Mudanjiang Normal University, Mudanjiang 157011, China.
ABSTRACT
In this study, we used next-generation sequencing to obtain the complete sequence of the mitochondrial genome of a lepidopteran Scopelodes kwangtungensis and analyzed its gene composition and structural characteristics. The complete mitochondrial genome of S. kwangtungensis is 14871 bp in length and comprises 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and one control region. It has A+T and G+C contents of 80.1% and 19.9%, respectively, indicating a clear A+T bias. Within the coding regions, the most common start codon is ATG, the most common stop codon is TAA, and leucine is the most commonly occurring amino acid. To establish the phylogenetic status of S. kwangtungensis, we used the maximum likelihood and Bayesian inference methods to construct phylogenetic trees based on the sequences of the 13 protein-coding genes. The results revealed S. kwangtungensis to be closely related to Monema flavescens, of which it forms a sister branch. These results augment the current mitochondrial genome data for the lepidopteran family Limacodidae and provide information for the systematic classification of this group.
Article Information
Received 30 July 2023
Revised 05 November 2023
Accepted 16 November 2023
Available online 11 January 2024
(early access)
Published 29 April 2025
Authors’ Contribution
PC collected and analysed the data and wrote the manuscript. JX, FL and TL supervised the study, analysed the data, and edited the manuscript.
Key words
Complete mitogenome of a moth, Next-generation sequencing, Phylogenetic status, Scopelodes kwangtungensi, Moth, Family Limacodidae
DOI: https://dx.doi.org/10.17582/journal.pjz/20230730111147
* Corresponding author: [email protected]
0030-9923/2025/0003-1151 $ 9.00/00
Copyright 2025 by the authors. Licensee Zoological Society of Pakistan.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
INTRODUCTION
The lepidopteran Scopelodes kwangtungensis, a moth in the family Limacodidae, was first described by Hering in 2015 (Pan and Wu, 2015). It is distributed primarily in western and southern China, including the provinces of Gansu, Yunnan, and Hubei, where it is among the main pests of fruit trees, garden shrubs, and cash crops (Jiao et al., 2019). Notably, the larvae of this species bear numerous urticating hairs and toxin-producing glands, which can cause dermatitis and a severe burning pain when coming into contact with human skin. Given that the species is widely distributed in densely populated green belt areas, it potentially poses a considerable and largely overlooked threat to human health (Han, 2013; Cao and Peng, 2009). Adult S. kwangtungensis have a wingspan of approximately 55 mm, the hair at the end of the lower lip is white and long, and the chest is dark brown. Its abdomen is orange-yellow, with black bands on each section from the third section, and dark brown in the distal segment. The forewings are dark brown and covered with silver-gray scales, whereas the hind wings are light to dark brown, one third of the base and the posterior margin are partly yellowish brown (Wu et al., 2009), and the outer half of the wing vein is yellowish. The larvae of S. kwangtungensis have a yellow ventral surface, a green dorsal surface, and two rows of dense spines. The eighth section of the larvae has red, white, and blue horizontal stripes on the dorsal surface and black spots on the tail.
The mitochondrial genome is a double-stranded circular DNA molecule that is the only genetic material that can be replicated and transcribed independently outside the animal nucleus. Moreover, given its simple structure, compact arrangement, and low rate of mutation, mitochondrial genomes tend to be widely used in molecular systematics and analysis of pedigree geography (Qiu, 2023). The mitochondrial genomes of insects are generally 14–20 kb in size and typically comprise 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, two ribosomal RNA (rRNA) genes, and a single control region. Given that mitochondrial genomes have undergone rapid evolution and have a relatively stable gene composition, they are widely used to analyze the phylogeny of insects. To date, the mitochondrial genome sequences of more than 25 species in the family Limacodidae have been deposited in the GenBank database, which will contribute to gaining a further understanding the evolutionary history of Limacodidae (Xu et al., 2023; Cameron, 2014).
The elucidation of mitochondrial genomes has become increasingly crucial within the field of biology. Mitochondria, serving as the energy centers within cells, house genetic material that is not only vital for the provision of cellular energy but also harbors crucial information for phylogenetic studies and genetics. The lepidopteran species Scopelodes kwangtungensis (S. kwangtungensis) represents a significant insect pest, posing a substantial threat to fruit trees, garden shrubs, and economically important crops. A comprehensive understanding of the structure and features of its mitochondrial genome holds paramount importance for gaining insights into its biology, genetics, and evolutionary history. Furthermore, mitochondrial genome research serves a dual purpose by facilitating the development of molecular biology identification techniques, the formulation of pest control strategies, and the exploration of potential drug development avenues. Thus, this study aims to provide foundational data for molecular and biological research related to S. kwangtungensis by analyzing its mitochondrial genome. Additionally, it contributes valuable information to the broader fields of biology and ecology. Through this research, we aspire to make significant contributions to advancements in pest control and ecological preservation.
MATERIALS AND METHODS
Experimental materials, DNA extraction, and sequencing
An adult specimen of S. kwangtungensis was collected in July 2021 in Lancang County, Yunnan Province (99°55ʹ55ʹʹE, 22°33ʹ21ʹʹW). This specimen has been preserved at the School of Ecology, Lanzhou University, China (http://www.lzu.edu.cn/; Fang Li: [email protected]; voucher number: SK0001). Total genomic DNA was extracted from a wing sample using a Tiangen Genome DNA Kit (TIANGEN, China) in accordance with the manufacturer’s instructions. The quality and purity of the extracted DNA were determined by agarose gel electrophoresis and NanoDrop 2000 spectrophotometry (NanoDrop Technologies, Wilmington, DE, USA). Qualified total genomic DNA was sent to Wuhan Bena Biotechnology Co., Ltd. for preparation of a DNA library using an MGIEasy Digestion DNA Library Prep Kit (192 RXN) This library DNA was subsequently subjected to next-generation high-throughput sequencing (double-ended 150 bp) using the DNBSEQ-T7 sequencing platform. fastp software (Chen et al., 2018) was used to filter the original data and remove sequencing adapters, low-quality terminals, N > 10% reads, and fragments of less than 25 bases.
Assembly, annotation, and feature analysis
Get Organelle v1.7.5 software (Jin et al., 2020), with parameters set to “- R 30 -k 21, 45, 65, 85, 105 -w 50,” was used to assemble the mitochondrial genome into a loop configuration, and the looped mitochondrial genome was uploaded to the MITOS (Bernt et al., 2013) website (http://mitos.bioinf.uni-leipzig.de/) for functional annotation. The genetic code was set to insects, and the default parameters of MITOS were used for other settings. Having obtained the annotation results, further manual correction was performed using Geneious (Kearse et al., 2012). The base composition, codon usage frequency, AT skew, and GC skew of each coding gene in the mitochondrial genome were calculated using MEGA11 (Tamura et al., 2021).
Phylogenetic analysis
To establish the phylogenetic status of S. kwangtungensis (family, Limacodidae), we compared the mitochondrial genome assembled in this study with those of five species in the family Tortricidae, five species in the family Zygaenidae, three species in the family Limacodidae, three species in the family Gelechiidae, two species of the family Lymantriidae, and four species in the family Noctuidae, using sequences published in the NCBI database (Table I). The species in the family Tortricidae served as an outgroup. A maximum likelihood (ML) phylogenetic tree was constructed based on the sequences of the 13 PCGs using IQ-TREE v1.6.8 (Nguyen et al., 2015) in PhyloSuite software. Initially, the best model was screened using model finder (Kalyaanamoorthy et al., 2017), after which, 100000-branch confidence was calculated using the ultrafast bootstrap method (ultrafast bootstrapping) (Minh et al., 2013). Mbayes v3.2.6 (Huelsenbeck and Ronquist, 2001) was used to construct a Bayesian inference (BI) phylogenetic tree using the partition model, in which the initial 10% of the sampled data were discarded. The phylogenetic tree was visualized using FigTree v1.4.4 (https://github.com/rambaut/figtree).
RESULTS
Gene structure and composition
The whole mitochondrial genome of S. kwangtungensis is a circular DNA molecule of 14871 bp (Fig. 1) containing 37 genes, namely, 13 PCGs, 22 RNAs, two rRNAs, and a single AT-enriched region. The nucleotide composition of the genome is A (39.5%), T (40.6%), C (8.0%), and G
Table I. Origins of mitochondrial genomes of Ditrysia.
Taxon (Species) |
Size (bp) |
AT% |
AT-Skew |
GC-Skew |
Accession number |
Ditrysia |
|||||
Tortricidae (outgroup) |
|||||
Grapholita dimorpha |
15813 |
80.9 |
-0.01112 |
-0.1875 |
NC024582 |
Rhyacionia leptotubula |
15876 |
80.3 |
-0.00125 |
-0.228426 |
NC 019619 |
Adoxophyes orana |
15343 |
79.9 |
-0.00125 |
-0.21 |
NC 021396 |
Choristoneura conflictana |
15387 |
81 |
0.004938 |
-0.168421 |
NC 039421 |
Choristoneura murinana |
15488 |
81.4 |
0.002457 |
-0.16129 |
NC 037396 |
Zygaenidae |
|||||
Amesia sanguiflua |
15203 |
79.8 |
0.002506 |
-0.227723 |
NC 046467 |
Eterusia aedea |
15196 |
79.6 |
-0.00503 |
-0.211823 |
NC 038208 |
Histia rhodope |
15209 |
78.5 |
0.014013 |
-0.240741 |
NC 039447 |
Rhodopsona rubiginosa |
15248 |
79 |
0.010127 |
-0.228571 |
NC 025761 |
Phauda flammans |
15470 |
82 |
-0.02195 |
-0.206704 |
NC 047243 |
Limacodidae |
|||||
Monema flavescens |
15396 |
80.5 |
0.013665 |
-0.22449 |
NC 032683 |
Scopelodes kwangtungensis |
14871 |
80.1 |
-0.01373 |
0.19598 |
OQ848600 |
Parasa consocia |
15296 |
80.6 |
0 |
-0.237113 |
NC 034993 |
Narosa nigrisigna |
15292 |
81.2 |
-0.03941 |
-0.180851 |
NC 041304 |
Gelechiidae |
|||||
Dichomeris ustalella |
15410 |
81.1 |
-0.03822 |
-0.174603 |
NC 029810 |
Helcystogramma macroscopa |
15394 |
80.9 |
0.013597 |
-0.189474 |
NC 029844 |
Mesophleps albilinella |
15274 |
80.5 |
-0.06087 |
-0.230769 |
NC 029811 |
Lymantriidae |
|||||
Orgyia postica |
15258 |
77.2 |
-0.0285 |
0.303965 |
NC 057614 |
Somena scintillans |
15410 |
80.9 |
-0.00865 |
-0.25 |
NC 039764 |
Noctuidae |
|||||
Helicoverpa assulta |
15373 |
80.8 |
-0.00248 |
-0.193717 |
NC 035890 |
Heliothis subflexa |
15323 |
80.7 |
0.001239 |
-0.19171 |
NC 028539 |
Mythimna loreyi |
15320 |
80.9 |
-0.01607 |
-0.2 |
NC 057500 |
Spodoptera litura |
15388 |
81 |
0.012346 |
-0.193717 |
NC 022676 |
(11.9%), with an A+T content of 80.1%. Among the 37 genes, 25 genes, along with the AT-enriched region, are contained within the heavy chain, of which the A+T content is 73.0%. The remaining 12 genes are contained in the light chain, the A+T content of which is 80.2%. The 22 tRNA genes range in size from 54 to 72 bp. Of the two rRNA genes, the length of the rrnl (16S rRNA) gene is 648 bp and has an A+T content of 76.7%, whereas the rrns (12S rRNA) gene is 787 bp in length and has an A+T content of 85.0% (Table II). Within the entire mitochondrial genome there are five gene overlaps and 24 gene gaps, the largest of which is the interval between rrnl and trnL1 (76 bp). The total length of gene overlap is 21 bp, among which there is a large overlap between trnC and trnW, with eight bases in the overlapping region.
Protein-coding genes
The full length of the 13 protein-coding genes in the mitochondrial genome of S. kwangtungensis is 12584 bp. Among these genes, (four nad1, nad4, nad4L, and nad5), are located in the heavy chain, with the remaining nine being located in the light chain. In terms of codon usage, apart from cox1, for which the start codon is CGA, the start codon of all coding genes is ATN. Deletion of the termination codon is typically attributable to polyadenosine acidification. In the mitochondrial genome of S. kwangtungensis, the termination codons of nad4 and nad5 have an incomplete (T) codo
Table II. Characteristics of the mitochondrial genome of S. kwangtungensis.
Gene |
Position |
Size |
Intergenic nucleotid |
Condon |
|||
From |
To |
Start |
Stop |
Strand |
|||
D-loop |
1 |
401 |
401 |
48 |
H |
||
rrns |
404 |
1191 |
788 |
2 |
L |
||
trnV |
1194 |
1258 |
65 |
2 |
L |
||
rrnl |
1328 |
1976 |
649 |
69 |
H |
||
trnL1 |
2053 |
2120 |
68 |
76 |
H |
||
nad1 |
2122 |
3060 |
939 |
1 |
ATG |
TAA |
H |
trnS2 |
3086 |
3152 |
67 |
25 |
L |
||
cytb |
3159 |
4310 |
1125 |
6 |
ATG |
TAA |
L |
nad6 |
4319 |
4822 |
504 |
8 |
ATA |
TAA |
L |
trnP |
4846 |
4913 |
68 |
23 |
H |
||
trnT |
4914 |
4977 |
64 |
0 |
L |
||
nad4L |
5025 |
5312 |
288 |
47 |
ATG |
TAA |
H |
nad4 |
5313 |
6648 |
1336 |
0 |
ATG |
T |
H |
trnH |
6649 |
6713 |
65 |
0 |
H |
||
nad5 |
6714 |
8445 |
1732 |
0 |
ATT |
T |
H |
trnF |
8446 |
8513 |
68 |
0 |
H |
||
trnE |
8512 |
8579 |
68 |
-2 |
L |
||
Table continued on next column......... |
|||||||
Gene |
Position |
Size |
Intergenic nucleotid |
Condon |
|||
From |
To |
Start |
Stop |
Strand |
|||
trnS1 |
8580 |
8647 |
68 |
0 |
L |
||
trnN |
8657 |
8722 |
66 |
9 |
L |
||
trnR |
8725 |
8789 |
65 |
2 |
L |
||
trnA |
8792 |
8857 |
66 |
2 |
L |
||
nad3 |
8871 |
9221 |
351 |
13 |
ATT |
TAA |
L |
trnG |
9225 |
9290 |
66 |
3 |
L |
||
cox3 |
9293 |
10078 |
786 |
2 |
ATG |
TAA |
L |
atp6 |
10078 |
10758 |
681 |
-1 |
ATG |
TAA |
L |
atp8 |
10752 |
10913 |
162 |
-7 |
ATT |
TAA |
L |
trnD |
10914 |
10979 |
66 |
0 |
L |
||
trnK |
11016 |
11087 |
72 |
36 |
L |
||
cox2 |
11092 |
11769 |
678 |
4 |
ATG |
TAA |
L |
trnL2 |
11770 |
11838 |
69 |
0 |
L |
||
cox1 |
11846 |
13369 |
1524 |
7 |
CGA |
TAA |
L |
trnY |
13374 |
13438 |
65 |
4 |
H |
||
trnC |
13439 |
13503 |
65 |
0 |
H |
||
trnW |
13496 |
13563 |
68 |
-8 |
L |
||
nad2 |
13566 |
14579 |
1014 |
2 |
ATC |
TAA |
L |
trnQ |
14626 |
14694 |
69 |
46 |
H |
||
trnI |
14692 |
14755 |
64 |
-3 |
L |
||
trnM |
14757 |
14823 |
67 |
1 |
L |
Table III. Nucleotide composition of protein-coding genes and rRNA in S. kwangtungensis.
Gene |
Lenth (bp) |
T (%) |
C (%) |
A (%) |
G (%) |
AT % |
GC % |
AT-skew |
Gc-skew |
atp6 |
681 |
43.2 |
12.9 |
35.8 |
8.1 |
79 |
21 |
-0.171 |
0.229 |
atp8 |
162 |
48.8 |
8.6 |
40.1 |
2.5 |
88.9 |
11.1 |
-0.178 |
0.550 |
cox1 |
1524 |
38.2 |
15.1 |
33.4 |
13.3 |
71.6 |
28.4 |
-0.126 |
0.063 |
cox2 |
678 |
40 |
13.4 |
37.3 |
9.3 |
77.3 |
22.7 |
-0.068 |
0.181 |
cox3 |
786 |
40.2 |
14.4 |
33.7 |
11.7 |
73.9 |
26.1 |
-0.162 |
0.103 |
cytb |
1152 |
41.1 |
14.9 |
33.9 |
10.2 |
75 |
25.1 |
-0.175 |
0.187 |
nad1 |
939 |
49 |
7.1 |
28.9 |
15 |
77.9 |
22.1 |
-0.410 |
-0.357 |
nad2 |
1014 |
46.2 |
10.7 |
37.4 |
5.8 |
83.6 |
16.5 |
-0.190 |
0.297 |
nad3 |
351 |
48.1 |
11.1 |
33.6 |
7.1 |
81.7 |
18.2 |
-0.301 |
0.220 |
nad4 |
1336 |
46.3 |
6.7 |
34.8 |
12.3 |
81.1 |
19 |
-0.248 |
-0.295 |
nad4L |
288 |
51.7 |
5.6 |
29.5 |
13.2 |
81.2 |
18.8 |
-0.429 |
-0.404 |
nad5 |
1732 |
47.7 |
5.9 |
34.2 |
12.1 |
81.9 |
18 |
-0.283 |
-0.344 |
nad6 |
504 |
49.4 |
8.1 |
36.3 |
6.2 |
85.7 |
14.3 |
-0.265 |
0.133 |
rrnl |
649 |
38.4 |
8.6 |
38.4 |
14.6 |
76.8 |
23.2 |
0 |
-0.259 |
rrns |
788 |
44.2 |
4.7 |
40.9 |
10.3 |
85.1 |
15 |
-0.075 |
-0.373 |
the remaining genes use a TAA as the stop codon, which is a commonly used termination codon in metazoan mitochondrial genomes. Although the genes differ with respect to base contents, they are all characterized by lower G + C contents and higher A + T contents (Table III).
Codon usage frequency
To determine the ratio of the expected frequency of amino acids to the observed frequency using synonymous codons, we analyzed the mitochondrial genome of S. kwangtungensis using MEGA (Table IV, Fig. 2) As a result, we identified 27 preferentially used codons (relative synonymous codon usage ≥ 1) in the 13 PCGs (Behura and Severson, 2013). The genome sequence of 12584 bp encodes 3704 amino acids, the most commonly occurring of which is leucine (Leu), with a content of 14.23%, whereas the least used amino acid is cysteine (Cys), with a content of 1.03%.
tRNAs, rRNAs, and the control region
Similar to other moths in the family Limacodidae, the mitochondrial genome of S. kwangtungensis contains 22 tRNAs, ranging in length between 64 and 72 bp. Of the two rRNAs, 12s rRNA (rrns) is located in the 404–1191-bp region of the light chain with a length of 788 bp, whereas 16s rRNA (rrnl) is located in the 1328–1976-bp of the heavy chain with a length of 649 bp. The control region spans the sequence between base pairs 1 and 401.
Table IV. Frequency of codon usage in 13 protein-coding genes.
Codon |
Count |
RSCU |
Codon |
Count |
RSCU |
Codon |
Count |
RSCU |
Codon |
Count |
RSCU |
UUU(F) |
27.3 |
1.84 |
UCU(S) |
7.4 |
2.42 |
UAU(Y) |
12.1 |
1.87 |
UGU(C) |
2.5 |
1.74 |
UUC(F) |
2.4 |
0.16 |
UCC(S) |
1.3 |
0.43 |
UAC(Y) |
0.8 |
0.13 |
UGC(C) |
0.4 |
0.26 |
UUA(L) |
33.6 |
4.98 |
UCA(S) |
7.6 |
2.5 |
UAA(*) |
0.8 |
2 |
UGA(W) |
7.3 |
2 |
UUG(L) |
1.5 |
0.23 |
UCG(S) |
0 |
0 |
UAG(*) |
0 |
0 |
UGG(W) |
0 |
0 |
CUU(L) |
2.9 |
0.43 |
CCU(P) |
4.7 |
1.97 |
CAU(H) |
4.2 |
1.59 |
CGU(R) |
0.7 |
0.69 |
CUC(L) |
0.5 |
0.08 |
CCC(P) |
1.2 |
0.52 |
CAC(H) |
1.1 |
0.41 |
CGC(R) |
0.1 |
0.08 |
CUA(L) |
1.9 |
0.28 |
CCA(P) |
3.5 |
1.45 |
CAA(Q) |
4.6 |
1.85 |
CGA(R) |
3.2 |
3.15 |
CUG(L) |
0 |
0 |
CCG(P) |
0.2 |
0.06 |
CAG(Q) |
0.4 |
0.15 |
CGG(R) |
0.1 |
0.08 |
AUU(I) |
31.5 |
1.85 |
ACU(T) |
6.2 |
2.19 |
AAU(N) |
18.2 |
1.83 |
AGU(S) |
1.4 |
0.45 |
AUC(I) |
2.5 |
0.15 |
ACC(T) |
1.2 |
0.43 |
AAC(N) |
1.7 |
0.17 |
AGC(S) |
0.1 |
0.03 |
AUA(M) |
21.1 |
1.85 |
ACA(T) |
3.9 |
1.38 |
AAA(K) |
7.8 |
1.82 |
AGA(S) |
6.6 |
2.17 |
AUG(M) |
1.8 |
0.15 |
ACG(T) |
0 |
0 |
AAG(K) |
0.8 |
0.18 |
AGG(S) |
0 |
0 |
GUU(V) |
5.3 |
1.89 |
GCU(A) |
5.2 |
2.25 |
GAU(D) |
4.4 |
1.9 |
GGU(G) |
3.3 |
0.86 |
GUC(V) |
0.2 |
0.05 |
GCC(A) |
0.5 |
0.2 |
GAC(D) |
0.2 |
0.1 |
GGC(G) |
0.2 |
0.04 |
GUA(V) |
5.1 |
1.81 |
GCA(A) |
3.5 |
1.49 |
GAA(E) |
5.1 |
1.69 |
GGA(G) |
10.2 |
2.64 |
GUG(V) |
0.7 |
0.25 |
GCG(A) |
0.2 |
0.07 |
GAG(E) |
0.9 |
0.31 |
GGG(G) |
1.8 |
0.46 |
Phylogenetic relationships
ML and BI phylogenetic trees, obtained to established the phylogenetic status of S. kwangtungensis, were constructed based on the nucleotide sequences of the 13 PCGs. These trees revealed that S. kwangtungensis belongs to the family Limacodidae and is classified as a branch of Monema flavescens, Parasa consocia, and Narosa nigrisigna, which are sister branches of the family Zygaenidae (Fig. 3).
DISCUSSION
With recent developments in next-generation sequencing technology, the mitochondrial genomes of insects are increasingly studied in diverse contexts, including species identification, pest control, population polymorphism, and phylogeny. The class Insects comprises the largest proportion of described species in the animal kingdom, and has been extensively studied by scientists. Owing to its matrilineal inheritance, high level of evolution, and low rate of intramolecular genetic recombination, the mitochondrial genome of insects is widely used in phylogeny, population genetics, and evolutionary biology (Yu et al., 2022). Lepidoptera is the third largest order of insects, with only the orders Diptera and Coleoptera containing a larger number of known species. Lepidoptera play important beneficial roles in almost all terrestrial ecosystems, but also include many agricultural pests and disease vectors that have a significant impact on human production and welfare.
In this study, we successfully assembled the mitochondrial genome of S. kwangtungensis, which was established to contain the 13 PCGs, two rRNAs, 22 tRNAs, and single control region typically found in insects. There is an overlap region of 7 bp (ATGATAA) between atp6 and atp8. Among the 13 PCGs, leucine (UUA) is the most commonly used amino acid, which is consistent with the findings of Chen et al. (2022).
It should be noted, however, that while the mitochondrial genome can be used for phylogenetic analysis, it represents only the genetic information of the mitochondria and not the entire organism’s genetic information. Therefore, for a more comprehensive understanding of the systematic phylogenetic position of S. kwangtungensis, it is advisable to conduct further research by incorporating additional genetic data and morphological characteristics. Additionally, including more mitochondrial genome data from multiple individuals of S. kwangtungensis and related species in the analysis can further enhance the accuracy of phylogenetic analysis.
CONCLUSION
The entire mitochondrial genome of S. kwangtungensis was obtained using second-generation sequencing. It contains 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and a single control region. Phylogenetic analysis revealed that S. kwangtungensis is closely related to Monema flavescens, of which it forms a sister branch.
Acknowledgements
This project was supported by the Doctoral Research Fund of Mudanjiang Normal University (No. 1002319042). We would like to thank Editage (www.editage.cn) for English language editing.
Funding
This project was supported by the Doctoral Research Fund of Mudanjiang Normal University (No. 1002319042).
IRB approval
The study was approved by the Ethical Committee of the Mudanjiang Normal University.
Ethical statement
The animal study protocol was approved by the Ethics Committee of Mudanjiang Normal University. All efforts were made to minimize pain and discomfort to the specimens during research.
Data availability statement
The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/) under the accession No. OQ848600.
Statement of conflict interest
The authors have declared no conflict of interest.
References
Behura, S.K. and Severson, D.W., 2013. Codon usage bias: Causative factors, quantification methods and genome-wide patterns with emphasis on insect genomes. Biol. Rev., 88: 49-61. https://doi.org/10.1111/j.1469-185X.2012.00242.x
Brent, M., Donath, A., Jühling, F., Externbrink, F., Florentz, C., Fritzsch, G., Pütz, J., Middendorf, M. and Stadler, P.F., 2013. MITOS: Improved de novo metazoan mitochondrial genomean notation. Mol. Phylogenet. Evol., 69: 313-319. https://doi.org/10.1016/j.ympev.2012.08.023
Cameron, S.L., 2014. Insect mitochondrial genomics: Implications for evolution and phylogeny. Annu. Rev. Ent., 59: 95-117. https://doi.org/10.1146/annurev-ento-011613-162007
Cao, M. and Peng, L., 2009. Studies on the occurrence of Limacodidae species and their control techniques in garden plants in Nanchang city. Biol. Disaster Sci., 32: 3.
Chen, Q., Chen, L., Liao, C.Q., Wang, X., Wang, M. and Huang, G.H., 2022. Comparative mitochondrial genome analysis and phylogenetic relationship among lepidopteran species. Gene, 830: 146516. https://doi.org/10.1016/j.gene.2022.146516
Chen, S.F., Zhou, Y.Q., Chen, Y.R. and Gu, J., 2018. FASTP: An ultra-fast all-in-one FASTQ preprocessor. Bioinformatics, 34: i884-i890. https://doi.org/10.1093/bioinformatics/bty560
Han, X., 2013. Cnidocampa flavescens (Walker) (Lepiotpera:Limacodidae) spread the risk analysis and evaluation in Xinjiang. Xinjiang Agricultural University., Xinjiang.
Huelsenbeck, J.P. and Ronquist, F., 2001. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics, 17: 754-755. https://doi.org/10.1093/bioinformatics/17.8.754
Jiao, M., Li, J., Zhao, H.F., Wu, C.S. and Zhang, A.B., 2019. Species diversity and global distribution of Limacodidae (Lepidoptera) using online databases. Biodiv. Sci., 27: 778-786. https://doi.org/10.17520/biods.2019132
Jin, J., Yu, W., Yang, J.B., Song, Y., de Pamphilis, C.W., Yi, T.S. and Li, D.Z.,2020. GetOrganelle: A fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biol., 21: 1-31. https://doi.org/10.1186/s13059-020-02154-5
Kalyaanamoorthy, S., Minh, B.Q., Wong, T.K.F., von Haeseler, A., Jermiin, L.S., 2017. Model finder: Fast model selection for accurate phylogenetic estimates. Nat. Methods, 14: 587-589. https://doi.org/10.1038/nmeth.4285
Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., Buxton, S., Cooper, A., Markowitz, S., Duran, C., Thierer, T., Ashton, B., Meintjes, P. and Drummond, A., 2012. Geneious basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics, 28: 1647-1649. https://doi.org/10.1093/bioinformatics/bts199
Minh, B.Q., Nguyen, M.A. and von Haeseler, A., 2013. Ultrafast approximation for phylogenetic bootstrap. Mol. Biol. Evol., 30: 1188-1195. https://doi.org/10.1093/molbev/mst024
Nguyen, L.T., Schmidt, H.A., von Haeseler, A., Minh, B.Q., 2015. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol., 32: 268-274. https://doi.org/10.1093/molbev/msu300
Pan, Z., Wu, C., 2015. New and little known limacodidae (lepidoptera) from Xizang, China. Zootaxa, 3999: 393-400. https://doi.org/10.11646/zootaxa.3999.3.4
Qiu, L., 2023. Complete mitochondrial genomes of two click-beetles, Sinelater perroti and Sternocampsus coriaceus (Coleoptera: Elateroidea: Elateridae), and their phylogenetic implications. J. Asia-Pac. Ent., 26. https://doi.org/10.1016/j.aspen.2023.102059
Tamura, K., Stecher, G. and Kumar, S., 2021. MEGA11: Molecular evolutionary genetics analysis version 11. Mol. Biol. Evol., 38: 3022-3027. https://doi.org/10.1093/molbev/msab120
Wu, J., Zhao, T. and Han, H., 2009. A newly recorded genus Tanvia Solovyev and Witt, 2009 from China (Lepidoptera: Limacodidae). J. Asia-Pac. Biodiv., 14: 2287884X.
Xu, L., Chen, X., Sun, C., Li, M., Yuan, J., Yang, H. and Zhang, D., 2023. Mitochondrial genome characteristics and phylogenetic relationship reconstruction of Pentatomomorpha. J. Taiyuan Norm. Univ. (Nat. Sci. ed.). 22: 85-92.
Yu, X., Yang, H., Liu, J., Qi, Y., Sun, L. and Tian, X., 2022. A strategy for a high enrichment of insect mitochondrial DNA for mitogenomic analysis. Gene, 808: 145986. https://doi.org/10.1016/j.gene.2021.145986
To share on other social networks, click on any share button. What are these?