一套优化的绿僵菌大田和区域基因型多样性检测微卫星标记

Catherine Oulevey, Franco Widmer, Roland Kölliker, Jürg Enkerli
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引用次数: 39

摘要

从瑞士各地采集的33株绿僵菌分离株以及从两个野外采集的35株和36株绿僵菌分离株被收集到三个分离株中。所有分离株使用27个新开发的微卫星标记和14个先前发表的微卫星标记进行分析。41个标记允许检测瑞士收集的25个基因型,而在两个现场收集的30个和11个基因型被检测到。这表明在区域和田间尺度上具有较高的遗传多样性。为了提高基因分型效率,开发了一套优化的标记集,以尽可能少的标记来区分大量的基因型。优化的标记集由16个常见标记组成,在所有三个集合中提供接近最大分辨率的分辨率(91 - 93%)。结果表明,优化的标记集必须在大规模应用于以前未评估的集合之前进行验证,以避免次优分辨率。该遗传工具对不同生境的金银桃种群遗传结构分析具有重要的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimized microsatellite marker set for detection of Metarhizium anisopliae genotype diversity on field and regional scales

Thirty-three Metarhizium anisopliae isolates sampled across Switzerland as well as 35 and 36 M. anisopliae isolates sampled from two field sites were assembled in three isolate collections. All isolates were analyzed using 27 newly developed and 14 previously published microsatellite markers. The 41 markers allowed for detection of 25 genotypes in the Swiss collection while 30 and 11 genotypes were detected in the two field collections. This indicated high genetic diversity on a regional as well as on a field scale. In order to improve genotyping efficiency, an optimized marker set, which allows discrimination of a large number of genotypes with as few markers as possible was developed. The optimized marker set consisted of 16 common markers, which provided resolution close to maximal resolution in all three collections (91–93 %). The results demonstrated that optimized marker sets have to be validated before large scale application to previously unassessed collections in order to avoid suboptimal resolution. This genetic tool will be valuable for analyses of genetic population structure of M. anisopliae in different habitats on a regional as well as on a field scale.

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