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Microbiome profiling by illumina sequencing of combinatorial sequence-tagged PCR products.Illumina 测序组合序列标记 PCR 产物进行微生物组分析。
PLoS One. 2010 Oct 26;5(10):e15406. doi: 10.1371/journal.pone.0015406.
2
BIPES, a cost-effective high-throughput method for assessing microbial diversity.BIPES,一种具有成本效益的高通量微生物多样性评估方法。
ISME J. 2011 Apr;5(4):741-9. doi: 10.1038/ismej.2010.160. Epub 2010 Oct 21.
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Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions.使用串联可变 16S rRNA 基因区域比较两种下一代测序技术对高度复杂微生物群落组成的解析。
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Significant association between sulfate-reducing bacteria and uranium-reducing microbial communities as revealed by a combined massively parallel sequencing-indicator species approach.联合大规模平行测序-指示种方法揭示硫酸盐还原菌与铀还原微生物群落之间存在显著关联。
Appl Environ Microbiol. 2010 Oct;76(20):6778-86. doi: 10.1128/AEM.01097-10. Epub 2010 Aug 20.
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Unlocking short read sequencing for metagenomics.解锁宏基因组学的短读测序。
PLoS One. 2010 Jul 28;5(7):e11840. doi: 10.1371/journal.pone.0011840.
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Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.每个样本深度达到数百万条序列的 16S rRNA 多样性的全球模式。
Proc Natl Acad Sci U S A. 2011 Mar 15;108 Suppl 1(Suppl 1):4516-22. doi: 10.1073/pnas.1000080107. Epub 2010 Jun 3.
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Experimental factors affecting PCR-based estimates of microbial species richness and evenness.影响基于 PCR 的微生物物种丰富度和均匀度估计的实验因素。
ISME J. 2010 May;4(5):642-7. doi: 10.1038/ismej.2009.153. Epub 2010 Jan 21.
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Ecology of the rare microbial biosphere of the Arctic Ocean.北极海洋稀有微生物生物圈的生态学。
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Bacterial community variation in human body habitats across space and time.人体不同空间和时间栖息地的细菌群落变化。
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Diversity and population structure of sewage-derived microorganisms in wastewater treatment plant influent.污水处理厂进水中污水衍生微生物的多样性和种群结构。
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基于 Illumina 的微生物群落多样性分析。

Illumina-based analysis of microbial community diversity.

机构信息

Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.

出版信息

ISME J. 2012 Jan;6(1):183-94. doi: 10.1038/ismej.2011.74. Epub 2011 Jun 16.

DOI:10.1038/ismej.2011.74
PMID:21677692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3246231/
Abstract

Microbes commonly exist in milieus of varying complexity and diversity. Although cultivation-based techniques have been unable to accurately capture the true diversity within microbial communities, these deficiencies have been overcome by applying molecular approaches that target the universally conserved 16S ribosomal RNA gene. The recent application of 454 pyrosequencing to simultaneously sequence thousands of 16S rDNA sequences (pyrotags) has revolutionized the characterization of complex microbial communities. To date, studies based on 454 pyrotags have dominated the field, but sequencing platforms that generate many more sequence reads at much lower costs have been developed. Here, we use the Illumina sequencing platform to design a strategy for 16S amplicon analysis (iTags), and assess its generality, practicality and potential complications. We fabricated and sequenced paired-end libraries of amplified hyper-variable 16S rDNA fragments from sets of samples that varied in their contents, ranging from a single bacterium to highly complex communities. We adopted an approach that allowed us to evaluate several potential sources of errors, including sequencing artifacts, amplification biases, non-corresponding paired-end reads and mistakes in taxonomic classification. By considering each source of error, we delineate ways to make biologically relevant and robust conclusions from the millions of sequencing reads that can be readily generated by this technology.

摘要

微生物通常存在于不同复杂程度和多样性的环境中。尽管基于培养的技术无法准确捕捉微生物群落中的真实多样性,但通过应用靶向普遍保守的 16S 核糖体 RNA 基因的分子方法,这些缺陷已得到克服。最近,454 焦磷酸测序技术的应用使得同时对数千个 16S rDNA 序列(焦磷酸标签)进行测序成为可能,从而彻底改变了复杂微生物群落的表征。迄今为止,基于 454 焦磷酸标签的研究占据主导地位,但已经开发出了能够以更低成本生成更多序列读数的测序平台。在这里,我们使用 Illumina 测序平台设计了一种用于 16S 扩增子分析(iTags)的策略,并评估了其通用性、实用性和潜在的复杂性。我们从内容各异的样本中构建和测序了扩增的高变 16S rDNA 片段的配对末端文库,样本范围从单个细菌到高度复杂的群落。我们采用了一种方法,使我们能够评估几个潜在的误差源,包括测序伪影、扩增偏差、不对应的配对末端读取和分类学分类中的错误。通过考虑每个误差源,我们阐明了如何从这项技术可以轻易生成的数百万个测序读取中得出具有生物学意义和稳健的结论的方法。