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本文引用的文献

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Microbial diversity in the deep sea and the underexplored "rare biosphere".深海中的微生物多样性以及未被充分探索的“稀有生物圈”。
Proc Natl Acad Sci U S A. 2006 Aug 8;103(32):12115-20. doi: 10.1073/pnas.0605127103. Epub 2006 Jul 31.
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Toward a census of bacteria in soil.迈向土壤细菌普查。
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Metagenomic analysis of the human distal gut microbiome.人类远端肠道微生物群的宏基因组分析。
Science. 2006 Jun 2;312(5778):1355-9. doi: 10.1126/science.1124234.
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PCR-induced sequence artifacts and bias: insights from comparison of two 16S rRNA clone libraries constructed from the same sample.聚合酶链式反应(PCR)诱导的序列假象和偏差:来自对同一样本构建的两个16S rRNA克隆文库比较的见解
Appl Environ Microbiol. 2005 Dec;71(12):8966-9. doi: 10.1128/AEM.71.12.8966-8969.2005.
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Unexpectedly high bacterial diversity in arctic tundra relative to boreal forest soils, revealed by serial analysis of ribosomal sequence tags.通过核糖体序列标签的序列分析揭示,北极苔原的细菌多样性相对于北方森林土壤意外地高。
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Computational improvements reveal great bacterial diversity and high metal toxicity in soil.计算方法的改进揭示了土壤中丰富的细菌多样性和高金属毒性。
Science. 2005 Aug 26;309(5739):1387-90. doi: 10.1126/science.1112665.
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Serial analysis of V6 ribosomal sequence tags (SARST-V6): a method for efficient, high-throughput analysis of microbial community composition.V6核糖体序列标签的序列分析(SARST-V6):一种用于高效、高通量分析微生物群落组成的方法。
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rRNA基因的序列分析与微生物群落中稀有成员的意外优势地位

Serial analysis of rRNA genes and the unexpected dominance of rare members of microbial communities.

作者信息

Ashby Matthew N, Rine Jasper, Mongodin Emmanuel F, Nelson Karen E, Dimster-Denk Dago

机构信息

Taxon Biosciences, Inc., Tiburon, CA 94920, USA.

出版信息

Appl Environ Microbiol. 2007 Jul;73(14):4532-42. doi: 10.1128/AEM.02956-06. Epub 2007 May 25.

DOI:10.1128/AEM.02956-06
PMID:17526780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1932806/
Abstract

The accurate description of a microbial community is an important first step in understanding the roles of its components in ecosystem function. A method for surveying microbial communities termed serial analysis of rRNA genes (SARD) is described here. Through a series of molecular cloning steps, short DNA sequence tags are recovered from the fifth variable (V5) region of the prokaryotic 16S rRNA genes from microbial communities. These tags are ligated to form concatemers comprised of 20 to 40 tags which are cloned and identified by DNA sequencing. Four agricultural soil samples were profiled with SARD to assess the method's utility. A total of 37,008 SARD tags comprising 3,127 unique sequences were identified. A comparison of duplicate profiles from one soil genomic DNA preparation revealed that the method was highly reproducible. The large numbers of singleton tags, together with nonparametric richness estimates, indicated that a significant amount of sequence tag diversity remained undetected with this level of sampling. The abundance classes of the observed tags were scale-free and conformed to a power law distribution. Numerically, the majority of the total tags observed belonged to abundance classes that were each present at less than 1% of the community. Over 99% of the unique tags individually made up less than 1% of the community. Therefore, from either a numerical or diversity standpoint, taxa with low abundance comprised a significant proportion of the microbial communities examined and could potentially make a large contribution to ecosystem function. SARD may provide a means to explore the ecological roles of these rare members of microbial communities in qualitative and quantitative terms.

摘要

准确描述微生物群落是理解其组成部分在生态系统功能中所起作用的重要第一步。本文介绍了一种用于调查微生物群落的方法,称为rRNA基因序列分析(SARD)。通过一系列分子克隆步骤,从微生物群落原核生物16S rRNA基因的第五可变区(V5)回收短DNA序列标签。这些标签被连接形成由20至40个标签组成的串联体,将其克隆并通过DNA测序进行鉴定。用SARD对四个农业土壤样本进行分析以评估该方法的实用性。共鉴定出37,008个SARD标签,包含3,127个独特序列。对一份土壤基因组DNA制备的重复分析结果表明,该方法具有高度可重复性。大量的单例标签以及非参数丰富度估计表明,在这种采样水平下仍有大量序列标签多样性未被检测到。观察到的标签的丰度类别无标度且符合幂律分布。从数量上看,观察到的总标签中的大多数属于丰度类别,每个类别在群落中的占比均不到1%。超过99%的独特标签各自在群落中的占比不到1%。因此,从数量或多样性的角度来看,低丰度的分类群在被检测的微生物群落中占很大比例,并且可能对生态系统功能做出巨大贡献。SARD可能提供一种手段,从定性和定量方面探索这些微生物群落中稀有成员的生态作用。