4.5 Article

Quantitative PCR methods for RNA and DNA in marine sediments: maximizing yield while overcoming inhibition

期刊

FEMS MICROBIOLOGY ECOLOGY
卷 72, 期 1, 页码 143-151

出版社

OXFORD UNIV PRESS
DOI: 10.1111/j.1574-6941.2009.00827.x

关键词

qPCR; RT-qPCR; nucleic acid extraction; PCR inhibition; nucleic acid purification

资金

  1. National Institute for Undersea Science and Technology (NIUST)
  2. US Environmental Protection Agency STAR [91671401-0]
  3. Strategic Environmental Research and Development [ER-1504]
  4. NASA [NCC 2-1054, NCC2-1275]

向作者/读者索取更多资源

For accurate quantification of DNA and RNA from environmental samples, yield loss during nucleic acid purification has to be minimized. Quantitative PCR (qPCR) and reverse transcription (RT)-qPCR require a trade-off between maximizing yield and removing inhibitors. We compared DNA and RNA yield and suitability for quantitative SYBR Green PCR and RT-PCR using the UltraClean and PowerSoil extraction kits and a bead-beating protocol with phenol/chloroform extraction steps. Purification methods included silica-column-based procedures from the MoBio kits, RNeasy MinElute, WizardPlus miniprep columns, and an acrylamide gel extraction. DNA and RNA purification with WizardPlus and RNeasy, respectively, led to significant losses of nucleic acids and archaeal 16S rRNA or 16S rRNA gene, as measured with RiboGreen or PicoGreen, and RT-qPCR or qPCR. Extraction and purification of DNA with the MoBio DNA UltraClean and DNA PowerSoil kits also decreased the yields slightly, relative to gel purification, in all sediments, except those from the deep sea in the Gulf of Mexico. Organic matter in humic-rich sediments may bind to these silica columns, reducing their nucleic acid-loading capacity. Purification with gel extraction cleans up organic-rich sediment samples sufficiently for quantitative analysis while avoiding the yield loss associated with commonly used silica columns.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据