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文献详情 >Genetic origin and dispersal o... 收藏

Genetic origin and dispersal of the invasive soybean aphid inferred from population genetic analysis and approximate Bayesian computation

作     者:Fang FANG Jing CHEN Liyun JIANG Yanhua QU Gexia QIAO 

作者机构:Key Laboratory of Zoological Systematics and EvolutionInstitute of ZoologyChinese Academy of SciencesBeijingChina 

出 版 物:《Integrative Zoology》 (整合动物学(英文版))

年 卷 期:2018年第13卷第5期

页      面:536-552页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基  金:The work was supported by the National Natural Sciences Foundation of China(No.31430078,No.31501852 and No.31561163002) the External Cooperation Program of the Chinese Academy of Sciences(No.152111KYSB20130012) the Ministry of Science and Technology of the People’s Republic of China(No.SQ2012FY4910058) 

主  题:Aphis glycines dispersal history microsatellite DNA phylogeography Rhamnus 

摘      要:Biological invasion is considered among the most important global environmental *** of the source and dispersal routes of invasion could facilitate the eradication and control of invasive *** aphid,Aphis glycines,is among the most destructive soybean *** effective management of this pest,we conducted genetic analyses and approximate Bayesian computation analysis to determine the origins and dispersal of the aphid species,as well as the source of its invasion in the USA,using 8 microsatellite loci and the mitochondrial cytochrome c oxidase subunit I *** were able to identify a significant isolation by distance pattern and 3 genetic lineages in the microsatellite data but not in the mtDNA *** genetic structure showed that the USA population had the closest relationship with those from Korea and Japan,indicating that the 2 latter populations might be the sources of the invasion to the *** population genetic analyses and approximate Bayesian computation showed that the northeastern populations in China were the possible sources of the further spread of *** to *** dispersal history of this aphid can provide useful information for pest management strategies and can further help predict areas at risk of invasion.

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