在ITS2血管植物DNA (元) 条形编码中,为可靠的参考数据集提供半自动化序列修复
Andreia Quaresma1,2,3,4,5, Markus J Ankenbrand6, Carlos Ariel Yadró Garcia1,2
1Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253, Bragança, Portugal.
Scientific data
|January 25, 2024
概括
准确的DNA参考数据集对于植物识别至关重要. 这项研究开发了一种新的管道来策划血管植物ITS2序列,提高欧洲和全球DNA条形码的数据可靠性.
科学领域:
- 植物学 植物学
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 准确的DNA参考序列数据集对于DNA (元) 条形码的可靠分类学识别至关重要,特别是在Viridiplantae王国.
- 现有的参考数据集往往包含分类学和其他错误,因为它们依赖于像GenBank.Bank这样的公共数据库.
研究的目的:
- 为血管植物的ITS2条码标记器构建精选的DNA参考数据集.
- 开发一个强大的和可更新的管道,用于自动和手动的这些数据集的策划.
- 提高植物DNA参考数据库的准确性和可靠性,用于分类识别.
主要方法:
- 开发一个管道脚本,其中包含一个自动化策划阶段和五个过器.
- 在数据集中对错误分类的种群进行手动分类学纠正.
- 手动添加新测序的物种来丰富参考数据库.
- 管道的应用以创建全球数据集,欧洲作物数据集和27个欧盟国家特定数据集.
主要成果:
- 由于错误,固过程识别并丢弃了13%的进口序列 (7%的物种).
- 259个新的序列被手动添加到全球数据集中.
- 精心策划的全球数据集现在包含307,977个序列,代表111,382种植物物种.
- 该管道有助于有效地更新策划数据集.
结论:
- 开发的管道显著提高了血管植物ITS2参考数据集的质量和准确性.
- 这些精心策划的数据集为植物的DNA条形码和分类学识别提供了可靠的资源.
- 这项工作解决了植物科学和保护工作中对高质量的参考数据的关键需求.
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