2026年的SILVA:在DSMZ数字多样性中为rRNA提供全球核心生物数据资源
Maria Chuvochina1, Jan Gerken1, Martinique Frentrup1
1Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, D-38124, Braunschweig, Germany.
Nucleic acids research
|November 18, 2025
概括
SILVA数据库提供经过质量检查的核糖体RNA序列和分类学分类. 最近的更新确保了其长期可持续性,并改善了DSMZ数字多样性联盟内的数据互操作性.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 自2007年以来,SILVA数据库一直是核糖体RNA (rRNA) 序列的关键资源.
- 它为微生物多样性研究提供质量检查,对齐和分类的rRNA数据.
- 西尔瓦被认可为ELIXIR核心数据资源和全球核心生物数据资源.
研究的目的:
- 概述最近的发展和SILVA数据库的当前状态.
- 详细说明其融入DSMZ数字多样性联盟 (D3).
- 描述确保长期可持续性和数据互操作性的改进.
主要方法:
- 为所有生命领域编制分类学分类的手册.
- 与其他D3数据库 (LPSN,StrainInfo) 进行集成,以提高互操作性.
- 网站的重新设计和发布的DOI分配的实施.
主要成果:
- 在2023年成功地将SILVA整合到DSMZ数字多样性联盟 (D3) 中.
- 重新设计的网站和提供QIIME2,DADA2和KRAKEN2分类器.
- 重新开发EukMap成为TaxMap的策划和可视化工具.
结论:
- 整合确保了SILVA资源的长期可持续性和持续发展.
- 新的发展增强了数据引用,支持FAIR数据原则,并提高了可用性.
- 通过D3整合和新工具,SILVA在微生物多样性研究中的作用得到了加强.
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