首次记录波波属(鳞翅目,褐飞虱科)的完整线粒体基因组:特征描述与比较基因组分析

Diversity Pub Date : 2024-09-07 DOI:10.3390/d16090560
Chao Xue, Dan Zhang, Dongkai Liu, Laizheng Jiao, Ran Li, Xianfeng Yi
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引用次数: 0

摘要

婆蝶属蝴蝶主要分布在东方和澳大利亚地区,被认为是重要农作物的害虫。然而,迄今为止还没有关于该属的线粒体基因组的报道,因此其有丝分裂基因组的进化特征和分化模式尚不清楚。在这项研究中,我们首次发现了稻飞虱(Borbo cinnara)的完整线粒体基因组序列。该环状双链有丝分裂基因组全长 15,508 bp,包括 13 个蛋白质编码基因(PCGs)、2 个核糖体 RNA 基因(rRNAs)、22 个转运 RNA 基因(tRNAs)和 1 个非编码控制区(CR)。在鹤虱科的有丝分裂基因组中,ND3基因是变异最大的PCG,而COX1则是最保守的PCG。选择压力分析表明,ND3处于宽松的纯化选择下,而COX1则受到强烈的纯化选择。利用贝叶斯推断法(BI)和最大似然法(ML)重建的系统发生树产生了稳健且相同的拓扑结构,在有丝分裂基因组水平上证实了B. cinnara与Pelopidas mathias之间的姊妹关系。从方法学角度看,这项研究丰富了蝴蝶物种鉴定的新型分子标记,加深了我们对鳞翅目昆虫有丝分裂基因组进化的理解。
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First Record of the Complete Mitochondrial Genome for the Genus Borbo (Lepidoptera, Hesperiidae): Characterization and Comparative Genomic Analysis
Butterflies of the genus Borbo are mainly distributed in the Oriental and Australian regions and are considered pests of important crops. However, no mitochondrial genomes have been reported for this genus until now, leaving the evolutionary characteristics and differentiation patterns of their mitogenomes unclear. In this study, we present the first complete mitochondrial genome sequence of the rice swift, Borbo cinnara. The circular double-stranded mitogenome was 15,508 bp in length, comprising 13 protein-coding genes (PCGs), 2 ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs), and 1 non-coding control region (CR). Among the mitogenomes of Hesperiinae, the ND3 gene was found to be the most variable PCG, while COX1 was the most conserved. Selection pressure analysis revealed that ND3 was under relaxed purifying selection, whereas COX1 was subjected to strong purifying selection. Phylogenetic trees reconstructed using both the Bayesian inference (BI) and maximum likelihood (ML) methods yielded robust and identical topologies, confirming the sister relationship between B. cinnara and Pelopidas mathias at the mitogenome level. Methodologically, this research enriches novel molecular markers for the species identification of butterflies and enhances our understanding of mitogenomic evolution in Lepidoptera.
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