dc.contributor.author | Abram, Florence | |
dc.date.accessioned | 2016-03-23T10:22:54Z | |
dc.date.available | 2016-03-23T10:22:54Z | |
dc.date.issued | 2014-12-03 | |
dc.identifier.citation | Abram, 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.2014.11.009 | en_IE |
dc.identifier.issn | 2001-0370 | |
dc.identifier.uri | http://hdl.handle.net/10379/5630 | |
dc.description.abstract | 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. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Research Network of Computational and Structural Biotechnology | en_IE |
dc.relation.ispartof | Computational and Structural Biotechnology Journal | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Systems biology | en_IE |
dc.subject | Metagenomics | en_IE |
dc.subject | Metatranscriptomics | en_IE |
dc.subject | Metaproteomics | en_IE |
dc.subject | Metabolomics | en_IE |
dc.subject | Microbial ecology | en_IE |
dc.title | Systems-based approaches to unravel multi-species microbial community functioning | en_IE |
dc.type | Article | en_IE |
dc.date.updated | 2016-03-23T10:04:43Z | |
dc.identifier.doi | 10.1016/j.csbj.2014.11.009 | |
dc.local.publishedsource | https://doi.org/10.1016/j.csbj.2014.11.009 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.internal.rssid | 8284270 | |
dc.local.contact | Florence Abram, Microbiology, School Of Natural Science, Nui Galway. 2390 Email: florence.abram@nuigalway.ie | |
dc.local.copyrightchecked | yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 2934 | |