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Genetic Characterization of the Gypsy Moth from China (Lepidoptera Lymantriidae) Using Inter Simple Sequence Repeats Markers

机译:中国间(鳞翅目鳞翅目)吉普赛蛾的遗传特征使用内部简单序列重复标记。

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摘要

This study provides the first genetic characterization of the gypsy moth from China ( Lymantria dispar ), one of the most recognized pests of forests and ornamental trees in the world. We assessed genetic diversity and structure in eight geographic populations of gypsy moths from China using five polymorphic Inter simple sequence repeat markers, which produced reproducible banding patterns. We observed 102 polymorphic loci across the 176 individuals sampled. Overall genetic diversity (Nei’s, H) was 0.2357, while the mean genetic diversity within geographic populations was 0.1845 ± 0.0150. The observed genetic distance among the eight populations ranged from 0.0432 to 0.1034. Clustering analysis (using an unweighted pair-group method with arithmetic mean and multidimensional scaling), revealed strong concordance between the strength of genetic relationships among populations and their geographic proximity. Analysis of molecular variance demonstrated that 25.43% of the total variability (F ST = 0.2543, P < 0.001) was attributable to variation among geographic populations. The results of our analyses investigating the degree of polymorphism, genetic diversity (Nei’s and Shannon) and genetic structure, suggest that individuals from Hebei may be better able to adapt to different environments and to disperse to new habitats. This study provides crucial genetic information needed to assess the distribution and population dynamics of this important pest species of global concern.
机译:这项研究提供了来自中国(Lymantria dispar)的吉普赛蛾的第一个遗传特征,Lymantria dispar是世界上最著名的森林和观赏树木害虫之一。我们使用五个多态性的Inter简单序列重复标记评估了来自中国8个地理区域的吉普赛蛾的遗传多样性和结构,这些标记产生了可重复的条带模式。我们在176个样本中观察到102个多态位点。总体遗传多样性(Nei's,H)为0.2357,而地理种群的平均遗传多样性为0.1845±0.0150。在八个种群中观察到的遗传距离范围为0.0432至0.1034。聚类分析(使用算术平均值和多维标度的非加权成对分组方法)揭示了种群之间遗传关系的强度与其地理位置之间的强一致性。分子方差分析表明,总变异性的25.43%(F ST = 0.2543,P <0.001)可归因于地理种群之间的变异。我们对多态性程度,遗传多样性(Nei's和Shannon)和遗传结构进行调查的分析结果表明,河北的个体可能更好地适应不同的环境并散布到新的栖息地。这项研究提供了评估全球关注的重要有害生物物种的分布和种群动态所需的重要遗传信息。

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