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Beyond the genome: community-level analysis of the microbial world
The development of culture-independent strategies to study microbial diversity and function has led to a revolution in microbial ecology, enabling us to address fundamental questions about the distribution of microbes and their influence on Earth’s biogeochemical cycles. This article discusses some...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585761/ https://www.ncbi.nlm.nih.gov/pubmed/23482824 http://dx.doi.org/10.1007/s10539-012-9357-8 |
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author | Zarraonaindia, Iratxe Smith, Daniel P. Gilbert, Jack A. |
author_facet | Zarraonaindia, Iratxe Smith, Daniel P. Gilbert, Jack A. |
author_sort | Zarraonaindia, Iratxe |
collection | PubMed |
description | The development of culture-independent strategies to study microbial diversity and function has led to a revolution in microbial ecology, enabling us to address fundamental questions about the distribution of microbes and their influence on Earth’s biogeochemical cycles. This article discusses some of the progress that scientists have made with the use of so-called “omic” techniques (metagenomics, metatranscriptomics, and metaproteomics) and the limitations and major challenges these approaches are currently facing. These ‘omic methods have been used to describe the taxonomic structure of microbial communities in different environments and to discover new genes and enzymes of industrial and medical interest. However, microbial community structure varies in different spatial and temporal scales and none of the ‘omic techniques are individually able to elucidate the complex aspects of microbial communities and ecosystems. In this article we highlight the importance of a spatiotemporal sampling design, together with a multilevel ‘omic approach and a community analysis strategy (association networks and modeling) to examine and predict interacting microbial communities and their impact on the environment. |
format | Online Article Text |
id | pubmed-3585761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-35857612013-03-07 Beyond the genome: community-level analysis of the microbial world Zarraonaindia, Iratxe Smith, Daniel P. Gilbert, Jack A. Biol Philos Article The development of culture-independent strategies to study microbial diversity and function has led to a revolution in microbial ecology, enabling us to address fundamental questions about the distribution of microbes and their influence on Earth’s biogeochemical cycles. This article discusses some of the progress that scientists have made with the use of so-called “omic” techniques (metagenomics, metatranscriptomics, and metaproteomics) and the limitations and major challenges these approaches are currently facing. These ‘omic methods have been used to describe the taxonomic structure of microbial communities in different environments and to discover new genes and enzymes of industrial and medical interest. However, microbial community structure varies in different spatial and temporal scales and none of the ‘omic techniques are individually able to elucidate the complex aspects of microbial communities and ecosystems. In this article we highlight the importance of a spatiotemporal sampling design, together with a multilevel ‘omic approach and a community analysis strategy (association networks and modeling) to examine and predict interacting microbial communities and their impact on the environment. Springer Netherlands 2012-12-15 2013 /pmc/articles/PMC3585761/ /pubmed/23482824 http://dx.doi.org/10.1007/s10539-012-9357-8 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Zarraonaindia, Iratxe Smith, Daniel P. Gilbert, Jack A. Beyond the genome: community-level analysis of the microbial world |
title | Beyond the genome: community-level analysis of the microbial world |
title_full | Beyond the genome: community-level analysis of the microbial world |
title_fullStr | Beyond the genome: community-level analysis of the microbial world |
title_full_unstemmed | Beyond the genome: community-level analysis of the microbial world |
title_short | Beyond the genome: community-level analysis of the microbial world |
title_sort | beyond the genome: community-level analysis of the microbial world |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585761/ https://www.ncbi.nlm.nih.gov/pubmed/23482824 http://dx.doi.org/10.1007/s10539-012-9357-8 |
work_keys_str_mv | AT zarraonaindiairatxe beyondthegenomecommunitylevelanalysisofthemicrobialworld AT smithdanielp beyondthegenomecommunitylevelanalysisofthemicrobialworld AT gilbertjacka beyondthegenomecommunitylevelanalysisofthemicrobialworld |