在eDNA样本中探索和验证非本地物种的观测结果
Coen Westerduin1, Marko Suokas1, Tuukka Petäjä2
1Ecology and Genetics Research Unit, Faculty of Science University of Oulu Oulu Finland.
Ecology and evolution
|October 16, 2023
概括
超标编码研究可以检测由于污染而导致非本地物种. 仔细检查DNA元编码结果对于识别假阳性和污染事件至关重要.
科学领域:
- 生态生态学 生态生态学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 基于DNA的方法在生物研究中提供了速度和准确性.
- 在DNA方法学中,高灵敏度增加了对来自污染的错误阳性结果的易感性.
研究的目的:
- 为了调查昆虫食鸟类食样本中非本地类物种的存在.
- 在DNA元编码数据中识别潜在的污染源.
主要方法:
- 对五种食虫鸟类的食元编码分析.
- 评估非局部DNA序列的分类学赋值和潜在起源.
- 评估现场,环境和实验室污染场景.
主要成果:
- 在鸟类食样本中检测到多种非本地类类物种.
- 分类学分配是可靠的,排除了许多物种的局部发生.
- 发现与同一个实验室处理的类型和序列重叠,表明潜在的污染.
结论:
- 虽然污染的确切来源仍未确定,但实验室处理可能是造成污染的原因.
- 对metabarcoding结果的批判性检查对于检测错误阳性是必不可少的.
- 具有全面参考库的物种级分类学赋值有助于识别污染事件.
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