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瓢虫(鞘翅目:瓢虫科)的DNA条形码评估及其对系统发育关系的影响

DNA barcoding evaluation and implications for phylogenetic relationships in ladybird beetles (Coleoptera: Coccinellidae).

作者信息

Wang Zheng-Liang, Wang Tian-Zhao, Zhu Hang-Feng, Wang Zi-Ye, Yu Xiao-Ping

机构信息

a Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences , China Jiliang University , Hangzhou , Zhejiang , People's Republic of China.

出版信息

Mitochondrial DNA A DNA Mapp Seq Anal. 2019 Jan;30(1):1-8. doi: 10.1080/24701394.2018.1446950. Epub 2018 Mar 8.

DOI:10.1080/24701394.2018.1446950
PMID:29514522
Abstract

Ladybird beetles (Coleoptera: Coccinellidae), with broad morphological diversity, wide geographic distribution and substantial agricultural significance, are a challenging group for taxonomists and phylogenetics. As a promising tool to identify and discover new species, DNA barcoding might offer significant potential for identification, taxonomy and phylogeny of ladybird beetles. In the present study, a total of 1364 COI (cytochrome C oxidase subunit I) sequences representing 128 species from 52 genera of ladybird beetles were screened for barcoding evaluation and phylogenetic analysis. Our results from the barcoding analysis revealed that COI displays a similar level of species identification efficiency (nearly 90%) either based on Kimura two-parameter (K2P) distances calculation or on simplified neighbour-joining (NJ) tree construction. The phylogenetic relationships within the family Coccinellidae was analyzed by Bayesian-inference (BI) method. The phylogenetic results confirmed the monophyly of the subfamilies Microweisinae and Coccinellinae sensu Ślipiński (2007), and suggested that the subfamilies Coccidulinae, Chilocorinae and Scymninae are paraphyletic. However, the phylogenetic relationships among different subfamilies are not clearly defined and thus remain to be thoroughly studied. Overall, our study confirmed the usefulness of DNA barcoding for coccinellid species identification and phylogenetic inference.

摘要

瓢虫(鞘翅目:瓢虫科)形态多样、地理分布广泛且具有重要农业意义,对分类学家和系统发育学家来说是一个具有挑战性的类群。作为识别和发现新物种的一种有前景的工具,DNA条形码技术可能为瓢虫的鉴定、分类和系统发育提供巨大潜力。在本研究中,共筛选了代表瓢虫科52个属128个物种的1364条细胞色素C氧化酶亚基I(COI)序列,用于条形码评估和系统发育分析。我们条形码分析的结果表明,基于Kimura双参数(K2P)距离计算或简化邻接法(NJ)构建的树,COI显示出相似水平的物种识别效率(近90%)。采用贝叶斯推断(BI)方法分析了瓢虫科内的系统发育关系。系统发育结果证实了Microweisinae亚科和Ślipiński(2007)定义的瓢虫亚科的单系性,并表明球瓢虫亚科、唇瓢虫亚科和小毛瓢虫亚科是并系的。然而,不同亚科之间的系统发育关系尚未明确界定,因此仍有待深入研究。总体而言,我们的研究证实了DNA条形码技术在瓢虫物种鉴定和系统发育推断中的实用性。

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