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相关概念视频

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量化土壤微生物群的丰富性通过metatranscriptomics和补充分子技术-交叉验证和观点.

Mathilde Borg Dahl1, Stella Brachmann1, Andrea Söllinger2

  • 1Department of Bacterial Physiology, University Greifswald, Greifswald, Germany.

Molecular ecology resources
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概括

这项研究引入了土壤转录基因学内部RNA标准,旨在量化微生物生物质. 虽然标准有助于RNA提取评估,但生物质估计有很大的差异,突出了土壤核酸量化方面的挑战.

关键词:
这是一个RNARNARNARNARNA.生物质估计 生物质估计提取标准的提取标准.转换组学 转换组学 转换组学定量转录学 量化转录学

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科学领域:

  • 土壤微生物学 土壤微生物学
  • 分子生态学分子生态学
  • 生物地质化学生物地质化学

背景情况:

  • 将土壤微生物社区结构和功能与生物地化学过程联系起来至关重要,但在方法上具有挑战性.
  • 定量土壤元转录学需要准确估计微生物生物质.
  • 内部标准可以提高核酸提取和量化的可靠性.

研究的目的:

  • 评估一种内部RNA提取标准 (NAEstd) 用于在土壤metatranscriptomics中的定量微生物生物量估计.
  • 通过NAEstd,qRT-PCR和以前的方法 (qMeTra) 与土壤微生物生物质碳 (MBC) 和 (MBN) 进行生物质估计.
  • 评估实验室协议和土壤特性对RNA提取效率和生物质量量化的影响.

主要方法:

  • 用两种图书馆准备协议进行土壤样本的metatranscriptomic测序.
  • 从*Saccharolobus solfataricus*中添加一个内部RNA提取标准 (NAEstd) 到土壤样本中.
  • 定量逆转录聚合酶连锁反应 (qRT-PCR) 对于16S rRNA转录的丰度.
  • 生物质估计与微生物生物质碳 (MBC) 和 (MBN) 测量的比较.

主要成果:

  • 在识别NAEstd读取时的高准确性 (99.9%) 和三重复制之间的良好的复制一致性 (Bray-Curtis不相似性0.03).
  • 在图书馆准备协议之间观察到明显的偏差,尽管它没有影响样本之间的模式.
  • 来自不同方法 (NAEstd,qRT-PCR,qMeTra) 的生物质估计数因数量级而异,NAEstd与MBC之间没有相关性.
  • 大多数生物质估计方法之间发现了显著的相关性,除了NAEstd和MBC.

结论:

  • 内部RNA标准 (NAEstd) 显示了评估土壤提取过程中核酸保留的潜力.
  • 由于社区规模和土壤核酸保留的变化,准确地估计土壤metatranscriptomics中的微生物生物量仍然具有挑战性.
  • 需要进一步的研究来完善在复杂的土壤环境中进行可靠的定量生物质估计的方法.