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Development and characterization of microsatellites from the sweetpotato weevil, Cylas formicarius elegantulus
Journal of Applied Entomology ( IF 1.7 ) Pub Date : 2020-03-05 , DOI: 10.1111/jen.12738
Phillip A. Wadl 1 , Robert N. Trigiano 2 , Sarah L. Boggess 2 , Karen Harris‐Shultz 3 , Livy H. Williams 1 , Grant T. McQuate 4
Affiliation  

To conduct population genetics analyses on sweetpotato weevils (Cylas formicarius elegantulus) collected from three populations in the United States, microsatellite loci were developed from sweetpotato weevil transcriptome sequences obtained from a publicly available database. Nineteen of 27 microsatellite loci tested were usable for population analyses. Sweetpotato weevil individuals from Georgia (N = 17), Hawaii (N = 16) and South Carolina (N = 12) were analysed. Here, we present microsatellite primer sequences for 19 loci and population genetics statistics, including diversity, population differences and relatedness. Thirty‐nine alleles were detected in the 45 individuals, and four private alleles were observed in individuals from the Hawaii and South Carolina populations. Observed heterozygosities ranged from 0.00 to 1.00, and expected heterozygosities ranged from 0.00 to 0.44. The mean Shannon's information index ranged from 0.30 to 0.49 for the three populations. Pairwise differences among populations (FST estimates) from individuals ranged from a low of 0.022 between Georgia and Hawaii to a high of 0.036 between Georgia and South Carolina, and cluster analysis (PCA and Structure) indicated two populations independent of geographical location.

中文翻译:

甘薯象鼻虫微卫星的开发和表征

为了对从美国三个种群中收集的甘薯象鼻虫 (Cylas formicarius egelulus) 进行种群遗传学分析,从公共数据库中获得的甘薯象鼻虫转录组序列中开发了微卫星位点。测试的 27 个微卫星位点中有 19 个可用于种群分析。分析了来自乔治亚州 (N = 17)、夏威夷 (N = 16) 和南卡罗来纳州 (N = 12) 的甘薯象鼻虫个体。在这里,我们展示了 19 个基因座和种群遗传学统计数据的微卫星引物序列,包括多样性、种群差异和相关性。在 45 个个体中检测到 39 个等位基因,在夏威夷和南卡罗来纳州的个体中观察到 4 个私人等位基因。观察到的杂合度在 0.00 到 1.00 之间,预期杂合度在 0.00 到 0.44 之间。三个种群的平均香农信息指数范围为 0.30 至 0.49。个体之间的成对差异(FST 估计值)范围从乔治亚州和夏威夷之间的低 0.022 到乔治亚州和南卡罗来纳州之间的 0.036 高,聚类分析(PCA 和结构)表明两个种群独立于地理位置。
更新日期:2020-03-05
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