John-Lee Sky Walker, Robert J. Steidl, Sandy A. Wolf, Ming-Min Lee, A. Elizabeth Arnold
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引用次数: 0
摘要
以花蜜和水果为食的动物(包括许多种类的蝙蝠)的粪便中通常含有质量和数量都很低的 DNA。我们开发了一种基于被动收集的粪便 DNA 的方法,以生成小长鼻蝙蝠(Leptonycteris yerbabuenae)个体的微卫星数据,小长鼻蝙蝠是墨西哥大部分地区和美国西南部柱状仙人掌和龙舌兰的重要授粉者。添加多重 PCR 步骤提高了扩增成功率,并在成本增加最少的情况下保留了 DNA 提取物。在我们对 433 份样本进行的初步筛选中,五个焦点位点能可靠地区分个体,识别概率(即两个不相关个体偶然具有相同微卫星图谱的概率)为 7.5E-09。重复分析显示基因分型错误率为 2%。我们探讨了我们的方法对小长鼻蝙蝠及其它非食性和食性物种种群研究的益处和局限性,这些物种提供关键的生态系统服务,并经常受到保护问题的关注。
Improved amplification of fecal DNA supports non-invasive microsatellite genotyping of lesser long-nosed bats (Leptonycteris yerbabuenae)
Feces of animals that forage on nectar and fruit, including many species of bats, often contain DNA that is low in quality and quantity. We developed an approach based on DNA from feces gathered passively to generate microsatellite data for individual lesser long-nosed bats (Leptonycteris yerbabuenae), which are important pollinators for columnar cacti and agave across much of Mexico and in the southwestern U.S. We collected feces from roosts near the U.S-Mexico border and developed a two-step amplification approach to characterize five highly polymorphic microsatellite loci from fecal DNA. Addition of a multiplex PCR step improved amplification success and conserved DNA extracts with a minimal increase in cost. In our initial screening of 433 samples, five focal loci distinguished individuals reliably, with a probability of identity (i.e., the probability of two unrelated individuals having the same microsatellite profile by chance) of 7.5E-09. Repeated analyses revealed a genotyping error rate < 2%. We explore the benefits and limits of our approach for population studies of lesser long-nosed bats and other nectivorous and frugivorous species that provide key ecosystem services and are often of conservation concern.
期刊介绍:
Conservation Genetics Resources promotes the conservation of genetic diversity and advances the study of conservation genetics by providing rapid publication of technical papers and reviews on methodological innovations or improvements, computer programs, and genomic resources, as well as on the practical application of these resources towards the development of effective conservation policy and practice.