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From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems

Microorganisms and the viruses that infect them are the most numerous biological entities on Earth and enclose its greatest biodiversity and genetic reservoir. With strength in their numbers, these microscopic organisms are major players in the cycles of energy and matter that sustain all life. Scie...

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Autores principales: Garza, Daniel R., Dutilh, Bas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Basel 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611022/
https://www.ncbi.nlm.nih.gov/pubmed/26254872
http://dx.doi.org/10.1007/s00018-015-2004-1
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author Garza, Daniel R.
Dutilh, Bas E.
author_facet Garza, Daniel R.
Dutilh, Bas E.
author_sort Garza, Daniel R.
collection PubMed
description Microorganisms and the viruses that infect them are the most numerous biological entities on Earth and enclose its greatest biodiversity and genetic reservoir. With strength in their numbers, these microscopic organisms are major players in the cycles of energy and matter that sustain all life. Scientists have only scratched the surface of this vast microbial world through culture-dependent methods. Recent developments in generating metagenomes, large random samples of nucleic acid sequences isolated directly from the environment, are providing comprehensive portraits of the composition, structure, and functioning of microbial communities. Moreover, advances in metagenomic analysis have created the possibility of obtaining complete or nearly complete genome sequences from uncultured microorganisms, providing important means to study their biology, ecology, and evolution. Here we review some of the recent developments in the field of metagenomics, focusing on the discovery of genetic novelty and on methods for obtaining uncultured genome sequences, including through the recycling of previously published datasets. Moreover we discuss how metagenomics has become a core scientific tool to characterize eco-evolutionary patterns of microbial ecosystems, thus allowing us to simultaneously discover new microbes and study their natural communities. We conclude by discussing general guidelines and challenges for modeling the interactions between uncultured microorganisms and viruses based on the information contained in their genome sequences. These models will significantly advance our understanding of the functioning of microbial ecosystems and the roles of microbes in the environment.
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spelling pubmed-46110222015-10-22 From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems Garza, Daniel R. Dutilh, Bas E. Cell Mol Life Sci Review Microorganisms and the viruses that infect them are the most numerous biological entities on Earth and enclose its greatest biodiversity and genetic reservoir. With strength in their numbers, these microscopic organisms are major players in the cycles of energy and matter that sustain all life. Scientists have only scratched the surface of this vast microbial world through culture-dependent methods. Recent developments in generating metagenomes, large random samples of nucleic acid sequences isolated directly from the environment, are providing comprehensive portraits of the composition, structure, and functioning of microbial communities. Moreover, advances in metagenomic analysis have created the possibility of obtaining complete or nearly complete genome sequences from uncultured microorganisms, providing important means to study their biology, ecology, and evolution. Here we review some of the recent developments in the field of metagenomics, focusing on the discovery of genetic novelty and on methods for obtaining uncultured genome sequences, including through the recycling of previously published datasets. Moreover we discuss how metagenomics has become a core scientific tool to characterize eco-evolutionary patterns of microbial ecosystems, thus allowing us to simultaneously discover new microbes and study their natural communities. We conclude by discussing general guidelines and challenges for modeling the interactions between uncultured microorganisms and viruses based on the information contained in their genome sequences. These models will significantly advance our understanding of the functioning of microbial ecosystems and the roles of microbes in the environment. Springer Basel 2015-08-09 2015 /pmc/articles/PMC4611022/ /pubmed/26254872 http://dx.doi.org/10.1007/s00018-015-2004-1 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review
Garza, Daniel R.
Dutilh, Bas E.
From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title_full From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title_fullStr From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title_full_unstemmed From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title_short From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
title_sort from cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611022/
https://www.ncbi.nlm.nih.gov/pubmed/26254872
http://dx.doi.org/10.1007/s00018-015-2004-1
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