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ISSR-PCR: Tool for discrimination and genetic structure analysis of Plutella xylostella populations native to different geographical areas

机译:ISSR-PCR:区分和分布于不同地理区域的小菜蛾种群遗传结构分析的工具

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The diamondback moth (DBM), Plutella xyloslella (L.) is considered as the most destructive pest of Brassicaceae crops world-wide. Its migratory capacities and development of insecticide resistance in many populations leads to more difficulties for population management. To control movement of populations and apparitions of resistance carried by resistant migrant individuals, populations must be identified using genetic markers. Here, seven different ISSR markers have been tested as a tool for population discrimination and genetic variations among 19 DBM populations from Canada, USA, Brazil, Martinique Island, France, Romania, Austria, Uzbekistan, Egypt, Benin, South Africa, Reunion Island, Hong Kong, Laos, Japan and four localities in Australia were assessed. Two classification methods were tested and compared: a common method of genetic distance analyses and a novel method based on an advanced statistical method of the Artificial Neural Networks' family, the Self-Organizing Map (SOM). The 188 loci selected revealed a very high variability between populations with a total polymorphism of 100% and a global coefficient of gene differentiation estimated by the Nei's index (Gst) of 0.238. Nevertheless, the largest part of variability was expressed among individuals within populations (AMOVA: 73.71% and mean polymorphism of 94% within populations). Genetic differentiation among the DBM populations did not reflect geographical distances between them. The two classification methods have given excellent results with less than 1.3% of misclassified individuals. The origin of the high genetic differentiation and efficiency of the two classification methods are discussed. (c) 2006 Elsevier Inc. All rights reserved.
机译:小菜蛾(Plutella xyloslella(L.))被认为是全世界十字花科作物中最具破坏性的害虫。它在许多人群中的迁徙能力和抗药性的发展给人口管理带来了更多困难。为了控制人口的流动和抵抗性移徙者携带的抵抗运动,必须使用遗传标记来识别种群。在这里,已对来自加拿大,美国,巴西,马提尼克岛,法国,罗马尼亚,奥地利,乌兹别克斯坦,埃及,贝宁,南非,留尼汪岛,对香港,老挝,日本和澳大利亚的四个地区进行了评估。测试并比较了两种分类方法:一种通用的遗传距离分析方法,以及一种基于人工神经网络家族高级统计方法的新方法,即自组织图(SOM)。所选择的188个基因座显示出群体之间的变异性非常高,总多态性为100%,根据Nei指数(Gst)估算的全球基因分化系数为0.238。尽管如此,变异性的最大部分是在人群中的个体之间表达的(AMOVA:73.71%,人群中平均多态性为94%)。 DBM种群之间的遗传分化并未反映出它们之间的地理距离。两种分类方法均获得了极好的结果,只有不到1.3%的错误分类个体。讨论了高遗传分化的起源和两种分类方法的有效性。 (c)2006 Elsevier Inc.保留所有权利。

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