An introduction to the analysis of shotgun metagenomic data

被引:346
作者
Sharpton, Thomas J. [1 ,2 ]
机构
[1] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA
[2] Oregon State Univ, Dept Stat, Corvallis, OR 97331 USA
关键词
metagenome; bioinformatics; microbiota; microbiome; microbial diversity; host-microbe interactions; review; GUT MICROBIOME; WEB SERVER; PHYLOGENETIC CLASSIFICATION; BACTERIAL; GENOMES; IDENTIFICATION; RHIZOBACTERIA; COMMUNITIES; ANNOTATION; DIVERSITY;
D O I
10.3389/fpls.2014.00209
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Environmental DNA sequencing has revealed the expansive biodiversity of microorganisms and clarified the relationship between host-associated microbial communities and host phenotype. Shotgun metagenomic DNA sequencing is a relatively new and powerful environmental sequencing approach that provides insight into community biodiversity and function. But, the analysis of metagenomic sequences is complicated due to the complex structure of the data. Fortunately, new tools and data resources have been developed to circumvent these complexities and allow researchers to determine which microbes are present in the community and what they might be doing. This review describes the analytical strategies and specific tools that can be applied to metagenomic data and the considerations and caveats associated with their use. Specifically, it documents how metagenomes can be analyzed to quantify community structure and diversity, assemble novel genomes, identify new taxa and genes, and determine which metabolic pathways are encoded in the community. It also discusses several methods that can be used compare metagenomes to identify taxa and functions that differentiate communities.
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页数:14
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