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微小的昆虫,大麻烦:对BOLD的COI数据库对Thysanoptera (昆虫) 的审查
Mariana F Lindner1, Leonardo T Gonçalves2, Filipe M Bianchi1
1Department of Zoology, Laboratório de Entomologia Sistemática, Institute of Biosciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
Bulletin of entomological research
|August 24, 2023
概括
在生命数据系统 (BOLD) 的条形码中使用细胞染色体c氧化酶子单元I (COI) 序列进行DNA条形码编码,对于昆虫类Thysanoptera有局限性. 数据的质量和表示性需要进行批判性评估,以准确识别物种.
科学领域:
- 昆虫学 昆虫学是一门学科.
- 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:
- DNA 条形码对于分类学,遗传学和遗传地理学至关重要.
- 生命数据系统的条形码 (BOLD) 是细胞染色体c氧化酶子单元I (COI) 序列的最大存储库.
- 类昆虫 (Thysanoptera) 是一个多样化的昆虫类,具有重要的生态和经济影响.
研究的目的:
- 评估Thysanoptera COI序列的数量和代表性 在 BOLD.
- 评估BOLD作为用于三识别和物种划分的参考图书馆的潜力.
- 为了确定目前BOLD Thysanoptera数据库中的局限性和偏见.
主要方法:
- 在BOLD中对可用的COI序列数据进行了广泛的修订,用于Thysanoptera.
- 跨thrips物种和属的序列表示的分析.
- 对物种划分潜力的条形码差距和异常值的评估.
主要成果:
- BOLD只包含约5%的有效三物种的COI序列,偏向于经济重要类型.
- 在33个属中的24个属中发现了明显的条形码缺口,但异常值也存在.
- 据估计,BOLD中约有30%的Thysanoptera物种可能无法准确识别,在Thripidae家族中,这一数字上升到40%.
结论:
- 目前的BOLD数据库不足以可靠地基于DNA条形码识别许多Thysanoptera物种.
- 建议在使用 BOLD 作为 thrips. 的参考库时谨慎使用.
- 未来的努力必须优先考虑改善Thysanoptera的数据质量和BOLD中的表示.
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