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用于监测微生物群落结构的16S rRNA基因引物对的评估显示,在使用多种古菌和细菌引物对生成的数据集中,其内部具有高重复性,而数据集之间的可比性较低。

Evaluation of 16S rRNA Gene Primer Pairs for Monitoring Microbial Community Structures Showed High Reproducibility within and Low Comparability between Datasets Generated with Multiple Archaeal and Bacterial Primer Pairs.

作者信息

Fischer Martin A, Güllert Simon, Neulinger Sven C, Streit Wolfgang R, Schmitz Ruth A

机构信息

Department of Biology, Institute for General Microbiology, Christian-Albrechts-Universität zu Kiel Kiel, Germany.

Biozentrum Klein Flottbek, Institute of Microbiology & Biotechnology, Universität Hamburg Hamburg, Germany.

出版信息

Front Microbiol. 2016 Aug 23;7:1297. doi: 10.3389/fmicb.2016.01297. eCollection 2016.

Abstract

The application of next-generation sequencing technology in microbial community analysis increased our knowledge and understanding of the complexity and diversity of a variety of ecosystems. In contrast to Bacteria, the archaeal domain was often not particularly addressed in the analysis of microbial communities. Consequently, established primers specifically amplifying the archaeal 16S ribosomal gene region are scarce compared to the variety of primers targeting bacterial sequences. In this study, we aimed to validate archaeal primers suitable for high throughput next generation sequencing. Three archaeal 16S primer pairs as well as two bacterial and one general microbial 16S primer pairs were comprehensively tested by in-silico evaluation and performing an experimental analysis of a complex microbial community of a biogas reactor. The results obtained clearly demonstrate that comparability of community profiles established using different primer pairs is difficult. 16S rRNA gene data derived from a shotgun metagenome of the same reactor sample added an additional perspective on the community structure. Furthermore, in-silico evaluation of primers, especially those for amplification of archaeal 16S rRNA gene regions, does not necessarily reflect the results obtained in experimental approaches. In the latter, archaeal primer pair ArchV34 showed the highest similarity to the archaeal community structure compared to observed by the metagenomic approach and thus appears to be the appropriate for analyzing archaeal communities in biogas reactors. However, a disadvantage of this primer pair was its low specificity for the archaeal domain in the experimental application leading to high amounts of bacterial sequences within the dataset. Overall our results indicate a rather limited comparability between community structures investigated and determined using different primer pairs as well as between metagenome and 16S rRNA gene amplicon based community structure analysis. This finding, previously shown for Bacteria, was as well observed for the archaeal domain.

摘要

下一代测序技术在微生物群落分析中的应用增进了我们对各种生态系统的复杂性和多样性的认识与理解。与细菌不同,在微生物群落分析中,古菌域往往未得到特别关注。因此,与针对细菌序列的大量引物相比,专门扩增古菌16S核糖体基因区域的既定引物较为稀少。在本研究中,我们旨在验证适用于高通量下一代测序的古菌引物。通过计算机模拟评估以及对沼气反应器复杂微生物群落进行实验分析,对三对古菌16S引物以及两对细菌和一对通用微生物16S引物进行了全面测试。所获得的结果清楚地表明,使用不同引物对建立的群落图谱的可比性较差。来自同一反应器样本鸟枪法宏基因组的16S rRNA基因数据为群落结构提供了额外的视角。此外,引物的计算机模拟评估,尤其是用于扩增古菌16S rRNA基因区域的引物评估,不一定能反映实验方法所获得的结果。在实验中,与宏基因组方法观察到的结果相比,古菌引物对ArchV34与古菌群落结构的相似度最高,因此似乎适用于分析沼气反应器中的古菌群落。然而,该引物对在实验应用中的一个缺点是其对古菌域的特异性较低,导致数据集中出现大量细菌序列。总体而言,我们的结果表明,使用不同引物对研究和确定的群落结构之间,以及基于宏基因组和16S rRNA基因扩增子的群落结构分析之间的可比性相当有限。这一此前在细菌中已得到证实的发现,在古菌域中也同样观察到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4f9/4994424/b84d1c36e0f5/fmicb-07-01297-g0001.jpg

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