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韩国入侵物种榆四脉绵蚜(半翅目:绵蚜科)的遗传变异性

Genetic Variability of the Invasive Species Metcalfa pruinosa (Hemiptera: Flatidae) in the Republic of Korea.

作者信息

Park Chang-Gyu, Min Sujeong, Lee Gwan-Seok, Kim Sora, Lee Yerim, Lee Seunghwan, Hong Ki-Jeong, Wilson Stephen W, Akimoto Shin-Ichi, Lee Wonhoon

机构信息

Crop Protection Division, Department of Agricultural Biology, National Academy of Agricultural Science, RDA 55365, Republic of Korea (

Laboratory of insect Biosystematics, Department of Agricultural Biotechnology, Seoul National University 08826, Republic of Korea (

出版信息

J Econ Entomol. 2016 Aug;109(4):1897-906. doi: 10.1093/jee/tow097. Epub 2016 May 31.

DOI:10.1093/jee/tow097
PMID:27247301
Abstract

Metcalfa pruinosa (Say, 1830) (Hemiptera: Flatidae) has caused substantial agricultural damage since its recent introduction to the Republic of Korea; however, the source of this introduction is still unclear. To examine the genetic divergence and phylogenetic relationships among several populations of M. pruinosa from Korea and foreign countries, 251 COI sequences from 251 samples collected from Korea, France, Italy, Spain, Slovenia, and the United States were newly analyzed, together with seven published COI sequences from Canada. In total, 19 haplotypes were detected from the 258 COI sequences, and three haplotypes, H1, H3, and H9, were detected from samples in Korea. The MJ network and Bayesian inference revealed that the three haplotypes of Korea were closely connected with samples of Italy, Spain, Slovenia, France, and the United States. Our study revealed the possibility of multiple invasions of M. pruinosa from Europe and/or North America into Korea.

摘要

紫蓝曼蝽(Metcalfa pruinosa (Say, 1830),半翅目:扁蝽科)自近期传入韩国以来已对农业造成了重大损害;然而,此次传入的源头仍不明确。为了研究来自韩国及其他国家的几个紫蓝曼蝽种群之间的遗传差异和系统发育关系,我们对从韩国、法国、意大利、西班牙、斯洛文尼亚和美国采集的251个样本中的251条细胞色素氧化酶亚基I(COI)序列进行了新的分析,并结合了来自加拿大的7条已发表的COI序列。从这258条COI序列中总共检测到19个单倍型,在韩国的样本中检测到了3个单倍型,即H1、H3和H9。中介邻接网络(MJ network)和贝叶斯推断表明,韩国的这3个单倍型与意大利、西班牙、斯洛文尼亚、法国和美国的样本紧密相连。我们的研究揭示了紫蓝曼蝽从欧洲和/或北美洲多次入侵韩国的可能性。

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Entomological signatures in honey: an environmental DNA metabarcoding approach can disclose information on plant-sucking insects in agricultural and forest landscapes.
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