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基于群体遗传分析和近似贝叶斯计算推断入侵大豆蚜的遗传起源与扩散

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

作者信息

Fang Fang, Chen Jing, Jiang Liyun, Qu Yanhua, Qiao Gexia

机构信息

Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

出版信息

Integr Zool. 2018 Sep;13(5):536-552. doi: 10.1111/1749-4877.12307.

Abstract

Biological invasion is considered among the most important global environmental problems. Knowledge of the source and dispersal routes of invasion could facilitate the eradication and control of invasive species. Soybean aphid, Aphis glycines, is among the most destructive soybean pests. For 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 gene. We were able to identify a significant isolation by distance pattern and 3 genetic lineages in the microsatellite data but not in the mtDNA dataset. The 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 USA. Both population genetic analyses and approximate Bayesian computation showed that the northeastern populations in China were the possible sources of the further spread of A. glycines to Indonesia. The dispersal history of this aphid can provide useful information for pest management strategies and can further help predict areas at risk of invasion.

摘要

生物入侵被认为是最重要的全球环境问题之一。了解入侵的源头和扩散途径有助于根除和控制入侵物种。大豆蚜是大豆最具破坏性的害虫之一。为了有效管理这种害虫,我们利用8个微卫星位点和线粒体细胞色素c氧化酶亚基I基因,进行了遗传分析和近似贝叶斯计算分析,以确定该蚜虫物种的起源、扩散以及其在美国的入侵源头。我们在微卫星数据中能够识别出显著的距离隔离模式和3个遗传谱系,但在mtDNA数据集中未识别出。遗传结构表明,美国种群与来自韩国和日本的种群关系最为密切,这表明后两个种群可能是入侵美国的源头。种群遗传分析和近似贝叶斯计算均表明,中国东北地区的种群可能是大豆蚜进一步扩散至印度尼西亚的源头。这种蚜虫的扩散历史可为害虫管理策略提供有用信息,并有助于进一步预测有入侵风险的区域。

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