生物
操作分类学单元
分类单元
分类等级
生态学
门
焦测序
群落结构
微生物生态学
微生物种群生物学
栖息地
丰度(生态学)
社区
通才与专种
基因组
生态系统
生物多样性
16S核糖体RNA
基因
古生物学
遗传学
细菌
作者
Albert Barberán,Scott T. Bates,Emilio O. Casamayor,Noah Fierer
出处
期刊:The ISME Journal
[Springer Nature]
日期:2011-09-08
卷期号:6 (2): 343-351
被引量:1859
标识
DOI:10.1038/ismej.2011.119
摘要
Exploring large environmental datasets generated by high-throughput DNA sequencing technologies requires new analytical approaches to move beyond the basic inventory descriptions of the composition and diversity of natural microbial communities. In order to investigate potential interactions between microbial taxa, network analysis of significant taxon co-occurrence patterns may help to decipher the structure of complex microbial communities across spatial or temporal gradients. Here, we calculated associations between microbial taxa and applied network analysis approaches to a 16S rRNA gene barcoded pyrosequencing dataset containing >160 000 bacterial and archaeal sequences from 151 soil samples from a broad range of ecosystem types. We described the topology of the resulting network and defined operational taxonomic unit categories based on abundance and occupancy (that is, habitat generalists and habitat specialists). Co-occurrence patterns were readily revealed, including general non-random association, common life history strategies at broad taxonomic levels and unexpected relationships between community members. Overall, we demonstrated the potential of exploring inter-taxa correlations to gain a more integrated understanding of microbial community structure and the ecological rules guiding community assembly.
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