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Systematic evaluation of bias in microbial community profiles induced by whole genome amplification

机译:系统评价全基因组扩增引起的微生物群落特征的偏倚

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Whole genome amplification methods facilitate the detection and characterization of microbial communities in low biomass environments. We examined the extent to which the actual community structure is reliably revealed and factors contributing to bias. One widely used [multiple displacement amplification (MDA)] and one new primer-free method [primasebased whole genome amplification (pWGA)] were compared using a polymerase chain reaction (PCR)- based method as control. Pyrosequencing of an environmental sample and principal component analysis revealed that MDA impacted community profiles more strongly than pWGA and indicated that this related to species GC content, although an influence of DNA integrity could not be excluded. Subsequently, biases by species GC content, DNA integrity and fragment size were separately analysed using defined mixtures of DNA from various species. We found significantly less amplification of species with the highest GC content for MDA-based templates and, to a lesser extent, for pWGA. DNA fragmentation also interfered severely: species with more fragmented DNA were less amplified with MDA and pWGA. pWGA was unable to amplify low molecular weight DNA (< 1.5 kb), whereas MDA was inefficient. We conclude that pWGA is the most promising method for characterization of microbial communities in low-biomass environments and for currently planned astrobiological missions to Mars.
机译:全基因组扩增方法有助于在低生物量环境中检测和鉴定微生物群落。我们研究了可靠地揭示实际社区结构的程度以及造成偏见的因素。使用基于聚合酶链反应(PCR)的方法作为对照,比较了一种广泛使用的[多置换扩增(MDA)]和一种新的无引物的方法[基于引物的全基因组扩增(pWGA)]。环境样品的焦磷酸测序和主成分分析表明,尽管不能排除DNA完整性的影响,但MDA对微生物群落的影响比pWGA更为强烈,并表明这与物种GC含量有关。随后,使用来自各种物种的特定DNA混合物分别分析了物种GC含量,DNA完整性和片段大小造成的偏差。我们发现,基于MDA的模板具有最高GC含量的物种的扩增明显较少,而pWGA的扩增程度较小。 DNA片段化也受到严重干扰:使用MDA和pWGA扩增的DNA片段较多的物种较少。 pWGA无法扩增低分子量DNA(<1.5 kb),而MDA效率低下。我们得出的结论是,pWGA是表征低生物量环境中微生物群落以及目前计划向火星进行天体生物学任务的最有前途的方法。

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