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Perturbation Dynamics of the Rumen Microbiota in Response to Exogenous Butyrate

Overview of attention for article published in PLOS ONE, January 2012
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Title
Perturbation Dynamics of the Rumen Microbiota in Response to Exogenous Butyrate
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029392
Pubmed ID
Authors

Robert W. Li, Sitao Wu, Ransom L. Baldwin, Weizhong Li, Congjun Li

Abstract

The capacity of the rumen microbiota to produce volatile fatty acids (VFAs) has important implications in animal well-being and production. We investigated temporal changes of the rumen microbiota in response to butyrate infusion using pyrosequencing of the 16S rRNA gene. Twenty one phyla were identified in the rumen microbiota of dairy cows. The rumen microbiota harbored 54.5±6.1 genera (mean ± SD) and 127.3±4.4 operational taxonomic units (OTUs), respectively. However, the core microbiome comprised of 26 genera and 82 OTUs. Butyrate infusion altered molar percentages of 3 major VFAs. Butyrate perturbation had a profound impact on the rumen microbial composition. A 72 h-infusion led to a significant change in the numbers of sequence reads derived from 4 phyla, including 2 most abundant phyla, Bacteroidetes and Firmicutes. As many as 19 genera and 43 OTUs were significantly impacted by butyrate infusion. Elevated butyrate levels in the rumen seemingly had a stimulating effect on butyrate-producing bacteria populations. The resilience of the rumen microbial ecosystem was evident as the abundance of the microorganisms returned to their pre-disturbed status after infusion withdrawal. Our findings provide insight into perturbation dynamics of the rumen microbial ecosystem and should guide efforts in formulating optimal uses of probiotic bacteria treating human diseases.

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Geographical breakdown

Country Count As %
United States 2 1%
Italy 1 <1%
Chile 1 <1%
Spain 1 <1%
Slovakia 1 <1%
Unknown 145 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Researcher 28 19%
Student > Master 21 14%
Student > Doctoral Student 12 8%
Student > Bachelor 9 6%
Other 27 18%
Unknown 22 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 52%
Veterinary Science and Veterinary Medicine 10 7%
Biochemistry, Genetics and Molecular Biology 10 7%
Medicine and Dentistry 7 5%
Immunology and Microbiology 4 3%
Other 14 9%
Unknown 27 18%