Metatranscriptomic analysis of diverse microbial communities reveals core metabolic pathways and microbiome-specific functionality.
Identifieur interne : 000287 ( Main/Exploration ); précédent : 000286; suivant : 000288Metatranscriptomic analysis of diverse microbial communities reveals core metabolic pathways and microbiome-specific functionality.
Auteurs : Yue Jiang [Canada] ; Xuejian Xiong [Canada] ; Jayne Danska [Canada] ; John Parkinson [Canada]Source :
- Microbiome [ 2049-2618 ] ; 2016.
English descriptors
- KwdEn :
- Animals, Brassica (microbiology), Cattle, Fermentation, Gene Ontology, Hydrothermal Vents (microbiology), Intestine, Large (microbiology), Metabolic Networks and Pathways (genetics), Metagenome, Mice, Microbiota (genetics), Molecular Sequence Annotation, Permafrost (microbiology), Phylogeny, RNA, Bacterial (genetics), RNA, Messenger (genetics), Raphanus (microbiology), Rumen (microbiology), Sequence Analysis, RNA.
- MESH :
- chemical , genetics : RNA, Bacterial, RNA, Messenger.
- genetics : Metabolic Networks and Pathways, Microbiota.
- microbiology : Brassica, Hydrothermal Vents, Intestine, Large, Permafrost, Raphanus, Rumen.
- Animals, Cattle, Fermentation, Gene Ontology, Metagenome, Mice, Molecular Sequence Annotation, Phylogeny, Sequence Analysis, RNA.
Abstract
Metatranscriptomics is emerging as a powerful technology for the functional characterization of complex microbial communities (microbiomes). Use of unbiased RNA-sequencing can reveal both the taxonomic composition and active biochemical functions of a complex microbial community. However, the lack of established reference genomes, computational tools and pipelines make analysis and interpretation of these datasets challenging. Systematic studies that compare data across microbiomes are needed to demonstrate the ability of such pipelines to deliver biologically meaningful insights on microbiome function.
DOI: 10.1186/s40168-015-0146-x
PubMed: 26757703
Affiliations:
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Le document en format XML
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xml:lang="en"><term>Brassica</term><term>Hydrothermal Vents</term><term>Intestine, Large</term><term>Permafrost</term><term>Raphanus</term><term>Rumen</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Cattle</term><term>Fermentation</term><term>Gene Ontology</term><term>Metagenome</term><term>Mice</term><term>Molecular Sequence Annotation</term><term>Phylogeny</term><term>Sequence Analysis, RNA</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Metatranscriptomics is emerging as a powerful technology for the functional characterization of complex microbial communities (microbiomes). Use of unbiased RNA-sequencing can reveal both the taxonomic composition and active biochemical functions of a complex microbial community. However, the lack of established reference genomes, computational tools and pipelines make analysis and interpretation of these datasets challenging. Systematic studies that compare data across microbiomes are needed to demonstrate the ability of such pipelines to deliver biologically meaningful insights on microbiome function.</div></front></TEI><affiliations><list><country><li>Canada</li></country><region><li>Ontario</li></region><settlement><li>Toronto</li></settlement><orgName><li>Université de Toronto</li></orgName></list><tree><country name="Canada"><noRegion><name sortKey="Jiang, Yue" sort="Jiang, Yue" uniqKey="Jiang Y" first="Yue" last="Jiang">Yue Jiang</name></noRegion><name sortKey="Danska, Jayne" sort="Danska, Jayne" uniqKey="Danska J" first="Jayne" last="Danska">Jayne Danska</name><name sortKey="Parkinson, John" sort="Parkinson, John" uniqKey="Parkinson J" first="John" last="Parkinson">John Parkinson</name><name sortKey="Xiong, Xuejian" sort="Xiong, Xuejian" uniqKey="Xiong X" first="Xuejian" last="Xiong">Xuejian Xiong</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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