The dobsonfly species Neoneuromus ignobilis Navás (Megaloptera: Corydalidae) is endemic to but widely distributed from eastern and southeastern Asia, being an important insect indicator for freshwater biomonitoring. At present, there is no report on the development of microsatellites of Megaloptera. Here, we developed 27 novel microsatellite markers of N. ignobilis from 850,920 candidate microsatellites with the stringent screening criteria considering the amplification success rate, the presence or absence of stutter peaks, the peak intensity, the polymorphism of the loci, the heterozygosity, and the number of alleles. The allele number of 27 microsatellite markers ranges from 3 to 12 with an average value of 6.19 per locus. The observed heterozygosity ( H O ) and expected heterozygosity ( H E ) revealed a range from 0.000 to 0.947 and 0.000 to 0.842, respectively. We constructed three panels (MP panel, most polymorphic; SS panel, most stringent strategy; ALL panel, total 27 microsatellite markers) and compared the analyses on population genetic diversity and structure. The result showed that the MP panel can significantly improve the analyses of individual assignment and genetic diversity. Accordingly, we advocate selecting the most polymorphic microsatellite marker for analyzing population genetics based on microsatellite data. The present work represents the first study on the microsatellite development of Megaloptera.

中文翻译：

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在基因组水平上首次开发和表征 Dobsonfly Neoneuromus ignobilis (Megaloptera: Corydalidae) 中的 27 个新型微卫星标记

Dobsonfly 物种 Neoneuromus ignobilis Navás (Megaloptera: Corydalidae) 是东亚和东南亚的特有种，但广泛分布于东亚和东南亚，是淡水生物监测的重要昆虫指标。目前，还没有关于巨翅目微卫星研制的报道。在这里，我们从 850,920 个候选微卫星中开发了 27 个新的 N. ignobilis 微卫星标记，并采用严格的筛选标准，考虑了扩增成功率、是否存在口吃峰、峰强度、基因座的多态性、杂合性和等位基因的数量。27 个微卫星标记的等位基因数从 3 到 12 不等，每个基因座的平均值为 6.19。观察到的杂合度 (HO) 和预期的杂合度 (HE) 显示范围从 0.000 到 0.947 和 0.000 到 0。842，分别。我们构建了三个面板（MP 面板，多态性最强；SS 面板，最严格的策略；ALL 面板，总共 27 个微卫星标记）并比较了对种群遗传多样性和结构的分析。结果表明，MP panel 可以显着改善个体分配和遗传多样性的分析。因此，我们提倡基于微卫星数据选择多态性最强的微卫星标记来分析群体遗传学。目前的工作是对巨翅目微卫星发展的首次研究。结果表明，MP panel 可以显着改善个体分配和遗传多样性的分析。因此，我们提倡基于微卫星数据选择多态性最强的微卫星标记来分析群体遗传学。目前的工作是对巨翅目微卫星发展的首次研究。结果表明，MP panel 可以显着改善个体分配和遗传多样性的分析。因此，我们提倡基于微卫星数据选择多态性最强的微卫星标记来分析群体遗传学。目前的工作是对巨翅目微卫星发展的首次研究。