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Metagenomics and its connection to microbial community organization

Microbes dominate most global biogeochemical cycles, and microbial metagenomics (studying the collective microbial genomes) provides invaluable new insights into microbial systems, independent of cultivation. Metagenomic approaches targeting specific genes, e.g. small subunit (ssu) ribosomal RNA (rR...

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Detalles Bibliográficos
Autor principal: Fuhrman, Jed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty of 1000 Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410722/
https://www.ncbi.nlm.nih.gov/pubmed/22912649
http://dx.doi.org/10.3410/B4-15
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author Fuhrman, Jed A.
author_facet Fuhrman, Jed A.
author_sort Fuhrman, Jed A.
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description Microbes dominate most global biogeochemical cycles, and microbial metagenomics (studying the collective microbial genomes) provides invaluable new insights into microbial systems, independent of cultivation. Metagenomic approaches targeting specific genes, e.g. small subunit (ssu) ribosomal RNA (rRNA), can be used to investigate microbial community organization by efficiently showing which taxa of organisms are present, while shotgun approaches show all genes and can indicate what functions the organisms are capable of. But collecting and organizing comprehensive shotgun data is extremely challenging and costly, and, in theory, predicting functionalities from microbial identities alone would save immense effort. However, we don’t yet know to what extent such predictions are applicable.
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spelling pubmed-34107222012-08-21 Metagenomics and its connection to microbial community organization Fuhrman, Jed A. F1000 Biol Rep Review Article Microbes dominate most global biogeochemical cycles, and microbial metagenomics (studying the collective microbial genomes) provides invaluable new insights into microbial systems, independent of cultivation. Metagenomic approaches targeting specific genes, e.g. small subunit (ssu) ribosomal RNA (rRNA), can be used to investigate microbial community organization by efficiently showing which taxa of organisms are present, while shotgun approaches show all genes and can indicate what functions the organisms are capable of. But collecting and organizing comprehensive shotgun data is extremely challenging and costly, and, in theory, predicting functionalities from microbial identities alone would save immense effort. However, we don’t yet know to what extent such predictions are applicable. Faculty of 1000 Ltd 2012-08-01 /pmc/articles/PMC3410722/ /pubmed/22912649 http://dx.doi.org/10.3410/B4-15 Text en © 2012 Faculty of 1000 Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes
spellingShingle Review Article
Fuhrman, Jed A.
Metagenomics and its connection to microbial community organization
title Metagenomics and its connection to microbial community organization
title_full Metagenomics and its connection to microbial community organization
title_fullStr Metagenomics and its connection to microbial community organization
title_full_unstemmed Metagenomics and its connection to microbial community organization
title_short Metagenomics and its connection to microbial community organization
title_sort metagenomics and its connection to microbial community organization
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410722/
https://www.ncbi.nlm.nih.gov/pubmed/22912649
http://dx.doi.org/10.3410/B4-15
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