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基于定量聚合酶链反应的方法在环境样品中测定基因拷贝数和基因转录本数量的评估。

Evaluation of quantitative polymerase chain reaction-based approaches for determining gene copy and gene transcript numbers in environmental samples.

作者信息

Smith Cindy J, Nedwell David B, Dong Liang F, Osborn A Mark

机构信息

Department of Biological Sciences, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK.

出版信息

Environ Microbiol. 2006 May;8(5):804-15. doi: 10.1111/j.1462-2920.2005.00963.x.

Abstract

Quantitative polymerase chain reaction (Q-PCR) amplification is widely applied for determining gene and transcript numbers within environmental samples. This research evaluated Q-PCR reproducibility via TaqMan assays quantifying 16S rRNA gene and transcript numbers in sediments, within and between replicate Q-PCR assays. Intra-assay variation in 16S rRNA gene numbers in replicate DNA samples was low (coefficients of variation; CV from 3.2 to 5.2%). However, variability increased using replicated standard curves within separate Q-PCR assays (CV from 11.2% to 26%), indicating absolute comparison of gene numbers between Q-PCR assays was less reliable. 16S rRNA transcript quantification was evaluated using standard curves of diluted RNA or cDNA (before, or following, reverse transcription). These standard curves were statistically different with cDNA-derived curves giving higher r(2) values and Q-PCR efficiencies. Template concentrations used in Q-PCR also affected 16S rRNA gene and transcript numbers. For DNA, 10(-3) dilutions yielded higher gene numbers than 10(-1) and 10(-2) dilutions. Conversely, RNA template dilution reduced numbers of transcripts detected. Finally, different nucleic acid isolation methods also resulted in gene and transcript number variability. This research demonstrates Q-PCR determination of absolute numbers of genes and transcripts using environmental nucleic acids should be treated cautiously.

摘要

定量聚合酶链反应(Q-PCR)扩增被广泛应用于测定环境样品中的基因和转录本数量。本研究通过TaqMan分析评估了Q-PCR的重现性,该分析对重复的Q-PCR分析中沉积物中的16S rRNA基因和转录本数量进行了定量。重复DNA样品中16S rRNA基因数量的批内变异较低(变异系数;CV为3.2%至5.2%)。然而,在单独的Q-PCR分析中使用重复的标准曲线时,变异性增加(CV为11.2%至26%),这表明Q-PCR分析之间基因数量的绝对比较不太可靠。使用稀释RNA或cDNA(逆转录之前或之后)的标准曲线对16S rRNA转录本进行定量。这些标准曲线在统计学上存在差异,cDNA衍生的曲线具有更高的r(2)值和Q-PCR效率。Q-PCR中使用的模板浓度也会影响16S rRNA基因和转录本数量。对于DNA,10(-3)稀释度产生的基因数量高于10(-1)和10(-2)稀释度。相反,RNA模板稀释会减少检测到的转录本数量。最后,不同的核酸分离方法也会导致基因和转录本数量的变异性。本研究表明,使用环境核酸通过Q-PCR测定基因和转录本的绝对数量时应谨慎对待。

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