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dc.contributor.authorAbram, Florence
dc.date.accessioned2016-03-23T10:22:54Z
dc.date.available2016-03-23T10:22:54Z
dc.date.issued2014-12-03
dc.identifier.citationAbram, Florence. (2015). Systems-based approaches to unravel multi-species microbial community functioning. Computational and Structural Biotechnology Journal, 13, 24-32. doi: https://doi.org/10.1016/j.csbj.2014.11.009en_IE
dc.identifier.issn2001-0370
dc.identifier.urihttp://hdl.handle.net/10379/5630
dc.description.abstractSome 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.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherResearch Network of Computational and Structural Biotechnologyen_IE
dc.relation.ispartofComputational and Structural Biotechnology Journalen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectSystems biologyen_IE
dc.subjectMetagenomicsen_IE
dc.subjectMetatranscriptomicsen_IE
dc.subjectMetaproteomicsen_IE
dc.subjectMetabolomicsen_IE
dc.subjectMicrobial ecologyen_IE
dc.titleSystems-based approaches to unravel multi-species microbial community functioningen_IE
dc.typeArticleen_IE
dc.date.updated2016-03-23T10:04:43Z
dc.identifier.doi10.1016/j.csbj.2014.11.009
dc.local.publishedsourcehttps://doi.org/10.1016/j.csbj.2014.11.009en_IE
dc.description.peer-reviewedpeer-reviewed
dc.internal.rssid8284270
dc.local.contactFlorence Abram, Microbiology, School Of Natural Science, Nui Galway. 2390 Email: florence.abram@nuigalway.ie
dc.local.copyrightcheckedyes
dc.local.versionPUBLISHED
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland