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The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities

Microbes are the most abundant biological entities found in the biosphere. Identification and measurement of microorganisms (including viruses, bacteria, archaea, fungi, and protists) in the biosphere cannot be readily achieved due to limitations in culturing methods. A non-culture based approach, c...

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Detalles Bibliográficos
Autores principales: Neelakanta, Girish, Sultana, Hameeda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987754/
https://www.ncbi.nlm.nih.gov/pubmed/24826073
http://dx.doi.org/10.4137/MBI.S10819
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author Neelakanta, Girish
Sultana, Hameeda
author_facet Neelakanta, Girish
Sultana, Hameeda
author_sort Neelakanta, Girish
collection PubMed
description Microbes are the most abundant biological entities found in the biosphere. Identification and measurement of microorganisms (including viruses, bacteria, archaea, fungi, and protists) in the biosphere cannot be readily achieved due to limitations in culturing methods. A non-culture based approach, called “metagenomics”, was developed that enabled researchers to comprehensively analyse microbial communities in different ecosystems. In this study, we highlight recent advances in the field of metagenomics for analyzing microbial communities in different ecosystems ranging from oceans to the human microbiome. Developments in several bioinformatics approaches are also discussed in context of microbial metagenomics that include taxonomic systems, sequence databases, and sequence-alignment tools. In summary, we provide a snapshot for the recent advances in metagenomics approach for analyzing changes in the microbial communities in different ecosystems.
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spelling pubmed-39877542014-05-13 The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities Neelakanta, Girish Sultana, Hameeda Microbiol Insights Review Microbes are the most abundant biological entities found in the biosphere. Identification and measurement of microorganisms (including viruses, bacteria, archaea, fungi, and protists) in the biosphere cannot be readily achieved due to limitations in culturing methods. A non-culture based approach, called “metagenomics”, was developed that enabled researchers to comprehensively analyse microbial communities in different ecosystems. In this study, we highlight recent advances in the field of metagenomics for analyzing microbial communities in different ecosystems ranging from oceans to the human microbiome. Developments in several bioinformatics approaches are also discussed in context of microbial metagenomics that include taxonomic systems, sequence databases, and sequence-alignment tools. In summary, we provide a snapshot for the recent advances in metagenomics approach for analyzing changes in the microbial communities in different ecosystems. Libertas Academica 2013-04-16 /pmc/articles/PMC3987754/ /pubmed/24826073 http://dx.doi.org/10.4137/MBI.S10819 Text en © 2013 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Review
Neelakanta, Girish
Sultana, Hameeda
The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title_full The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title_fullStr The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title_full_unstemmed The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title_short The Use of Metagenomic Approaches to Analyze Changes in Microbial Communities
title_sort use of metagenomic approaches to analyze changes in microbial communities
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987754/
https://www.ncbi.nlm.nih.gov/pubmed/24826073
http://dx.doi.org/10.4137/MBI.S10819
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