评估不同的16S rRNA基因高变区和参考数据库,以分析猪污水处理厂中的工程微生物群结构和功能协会
1Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, People's Republic of China.
Interface focus
|June 12, 2023
概括
选择正确的16S rRNA基因参考数据库和超变区对于准确的微生物社区分析至关重要. 密达斯4.8数据库和V4区域最好地描述了猪废水处理厂的微生物组.
科学领域:
- 环境微生物学环境微生物学
- 微生物生态学 微生物生态学
- 生物工程是生物工程.
背景情况:
- 高通量16S rRNA基因测序对于环境微生物群分析至关重要.
- 不同的16S rRNA基因高变区和参考数据库对分析准确性的影响尚不清楚.
研究的目的:
- 系统地评估参考数据库 (SILVA,GTDB,Greengenes,MiDAS) 和16S rRNA基因原料用于微生物群的分析.
- 确定在猪污水处理厂中分析无氧消化和活性污泥的最佳组合.
主要方法:
- 对四个参考数据库 (SILVA 138 SSU,GTDB bact120_r207,Greengenes 13_5,MiDAS 4.8) 的比较分析.
- 对不同16S rRNA基因原始体 (V4,V4-V5,V3-V4,V6-V8/V1-V3) 的评估.
- 利用无原始偏见的元基因组数据作为评估微生物群结构的基准.
主要成果:
- MiDAS 4.8显示出最高的分类学多样性和物种级别分配率.
- 微生物群的丰富程度按照以下顺序进行:V4 > V4-V5 > V3-V4 > V6-V8/V1-V3.
- V4区域准确地描述了微生物群结构和功能学会,与V6-V8不同,它高估了古老的甲基生物.
结论:
- 建议使用MiDAS 4.8数据库和V4区域对细菌和古生物群落进行全面分析.
- 这种组合可确保在猪污水处理厂环境中准确的多样性和结构概况.
- 优化的原料和数据库选择提高了基于微生物群的监测和生物工程应用的可靠性.
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