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首页> 外文期刊>Frontiers in Microbiology >Evaluating variation in human gut microbiota profiles due to DNA extraction method and inter-subject differences
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Evaluating variation in human gut microbiota profiles due to DNA extraction method and inter-subject differences

机译:评估由于DNA提取方法和受试者间差异导致的人类肠道菌群特征的变化

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The human gut contains dense and diverse microbial communities which have profound influences on human health. Gaining meaningful insights into these communities requires provision of high quality microbial nucleic acids from human fecal samples, as well as an understanding of the sources of variation and their impacts on the experimental model. We present here a systematic analysis of commonly used microbial DNA extraction methods, and identify significant sources of variation. Five extraction methods (Human Microbiome Project protocol, MoBio PowerSoil DNA Isolation Kit, QIAamp DNA Stool Mini Kit, ZR Fecal DNA MiniPrep, phenol:chloroform-based DNA isolation) were evaluated based on the following criteria: DNA yield, quality and integrity, and microbial community structure based on Illumina amplicon sequencing of the V4 region of bacterial and archaeal 16S rRNA genes. Our results indicate that the largest portion of variation within the model was attributed to differences between subjects (biological variation), with a smaller proportion of variation associated with DNA extraction method (technical variation) and intra-subject variation. A comprehensive understanding of the potential impact of technical variation on the human gut microbiota will help limit preventable bias, enabling more accurate diversity estimates.
机译:人的肠道包含密集而多样的微生物群落,它们对人类健康具有深远的影响。要获得对这些群落的有意义的见解,需要从人类粪便样品中提供高质量的微生物核酸,并了解变异的来源及其对实验模型的影响。我们在这里介绍了常用微生物DNA提取方法的系统分析,并确定了变异的重要来源。根据以下标准评估了五种提取方法(人类微生物组计划方案,MoBio PowerSoil DNA分离试剂盒,QIAamp DNA Stool Mini试剂盒,ZR Fecal DNA MiniPrep,基于苯酚:氯仿的DNA分离):DNA产量,质量和完整性以及细菌和古细菌16S rRNA基因V4区基于Illumina扩增子测序的微生物群落结构。我们的结果表明,模型中最大的变异部分归因于受试者之间的差异(生物学变异),而与DNA提取方法(技术变异)和受试者体内变异相关的变异比例较小。对技术变化对人类肠道菌群的潜在影响的全面理解将有助于限制可预防的偏见,从而实现更准确的多样性估计。

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