Arid
DOI10.1371/journal.pone.0093445
Bioinformatic Approaches Reveal Metagenomic Characterization of Soil Microbial Community
Xu, Zhuofei; Hansen, Martin Asser; Hansen, Lars H.; Jacquiod, Samuel; Sorensen, Soren J.
通讯作者Sorensen, Soren J.
来源期刊PLOS ONE
ISSN1932-6203
出版年2014
卷号9期号:4
英文摘要

As is well known, soil is a complex ecosystem harboring the most prokaryotic biodiversity on the Earth. In recent years, the advent of high-throughput sequencing techniques has greatly facilitated the progress of soil ecological studies. However, how to effectively understand the underlying biological features of large-scale sequencing data is a new challenge. In the present study, we used 33 publicly available metagenomes from diverse soil sites (i.e. grassland, forest soil, desert, Arctic soil, and mangrove sediment) and integrated some state-of-the-art computational tools to explore the phylogenetic and functional characterizations of the microbial communities in soil. Microbial composition and metabolic potential in soils were comprehensively illustrated at the metagenomic level. A spectrum of metagenomic biomarkers containing 46 taxa and 33 metabolic modules were detected to be significantly differential that could be used as indicators to distinguish at least one of five soil communities. The co-occurrence associations between complex microbial compositions and functions were inferred by network-based approaches. Our results together with the established bioinformatic pipelines should provide a foundation for future research into the relation between soil biodiversity and ecosystem function.


类型Article
语种英语
国家Denmark
收录类别SCI-E
WOS记录号WOS:000334101100082
WOS关键词16S RIBOSOMAL-RNA ; DIVERSITY ; DISCOVERY ; SEQUENCE ; LIBRARIES ; PATTERNS ; SEARCH ; SERVER ; GENES
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/184348
作者单位Univ Copenhagen, Dept Biol, Microbiol Sect, Copenhagen, Denmark
推荐引用方式
GB/T 7714
Xu, Zhuofei,Hansen, Martin Asser,Hansen, Lars H.,et al. Bioinformatic Approaches Reveal Metagenomic Characterization of Soil Microbial Community[J],2014,9(4).
APA Xu, Zhuofei,Hansen, Martin Asser,Hansen, Lars H.,Jacquiod, Samuel,&Sorensen, Soren J..(2014).Bioinformatic Approaches Reveal Metagenomic Characterization of Soil Microbial Community.PLOS ONE,9(4).
MLA Xu, Zhuofei,et al."Bioinformatic Approaches Reveal Metagenomic Characterization of Soil Microbial Community".PLOS ONE 9.4(2014).
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