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Abram, F
2015
January
Systems-based approaches to unravel multi-species microbial community functioning
Published
1
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Systems biology Metagenomics Metatranscriptomics Metaproteomics Metabolomics Microbial ecology HUMAN GUT MICROBIOME DE-NOVO ASSEMBLER MASS-SPECTROMETRY METAGENOMIC DATA GENE-EXPRESSION PROTEIN-SIP SMALL RNAS REVEALS METAPROTEOMICS GENOME
Some of the most transformative discoveries promising to enable the resolution of this century's grand societal challenges will most likely arise from environmental science and particularly environmental microbiology and biotechnology. Understanding how microbes interact in situ, and how microbial communities respond to environmental changes remains an enormous challenge for science. Systems biology offers a powerful experimental strategy to tackle the exciting task of deciphering microbial interactions. In this framework, entire microbial communities are considered as metaorganisms and each level of biological information (DNA, RNA, proteins and metabolites) is investigated along with in situ environmental characteristics. In this way, systems biology can help unravel the interactions between the different parts of an ecosystem ultimately responsible for its emergent properties. Indeed each level of biological information provides a different level of characterisation of the microbial communities. Metagenomics, metatranscriptomics, metaproteomics, metabolomics and SIP-omics can be employed to investigate collectively microbial community structure, potential, function, activity and interactions. Omics approaches are enabled by high-throughput 21st century technologies and this review will discuss how their implementation has revolutionised our understanding of microbial communities. (C) 2014 Abram. Published by Elsevier B.V. on behalf of the Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
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32
10.1016/j.csbj.2014.11.009
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