Literature DB >> 22562991

Effect of phenotypic residual feed intake and dietary forage content on the rumen microbial community of beef cattle.

Ciara A Carberry1, David A Kenny, Sukkyan Han, Matthew S McCabe, Sinead M Waters.   

Abstract

Feed-efficient animals have lower production costs and reduced environmental impact. Given that rumen microbial fermentation plays a pivotal role in host nutrition, the premise that rumen microbiota may contribute to host feed efficiency is gaining momentum. Since diet is a major factor in determining rumen community structure and fermentation patterns, we investigated the effect of divergence in phenotypic residual feed intake (RFI) on ruminal community structure of beef cattle across two contrasting diets. PCR-denaturing gradient gel electrophoresis (DGGE) and quantitative PCR (qPCR) were performed to profile the rumen bacterial population and to quantify the ruminal populations of Entodinium spp., protozoa, Fibrobacter succinogenes, Ruminococcus flavefaciens, Ruminococcus albus, Prevotella brevis, the genus Prevotella, and fungi in 14 low (efficient)- and 14 high (inefficient)-RFI animals offered a low-energy, high-forage diet, followed by a high-energy, low-forage diet. Canonical correspondence and Spearman correlation analyses were used to investigate associations between physiological variables and rumen microbial structure and specific microbial populations, respectively. The effect of RFI on bacterial profiles was influenced by diet, with the association between RFI group and PCR-DGGE profiles stronger for the higher forage diet. qPCR showed that Prevotella abundance was higher (P < 0.0001) in inefficient animals. A higher (P < 0.0001) abundance of Entodinium and Prevotella spp. and a lower (P < 0.0001) abundance of Fibrobacter succinogenes were observed when animals were offered the low-forage diet. Thus, differences in the ruminal microflora may contribute to host feed efficiency, although this effect may also be modulated by the diet offered.

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Year:  2012        PMID: 22562991      PMCID: PMC3416373          DOI: 10.1128/AEM.07759-11

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  37 in total

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Authors:  David M Stevenson; Paul J Weimer
Journal:  Appl Microbiol Biotechnol       Date:  2007-01-18       Impact factor: 4.813

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  78 in total

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2.  Ruminal Bacterial Community Composition in Dairy Cows Is Dynamic over the Course of Two Lactations and Correlates with Feed Efficiency.

Authors:  Kelsea A Jewell; Caroline A McCormick; Christine L Odt; Paul J Weimer; Garret Suen
Journal:  Appl Environ Microbiol       Date:  2015-05-01       Impact factor: 4.792

3.  Characterization of the cellulolytic bacteria communities along the gastrointestinal tract of Chinese Mongolian sheep by using PCR-DGGE and real-time PCR analysis.

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Journal:  World J Microbiol Biotechnol       Date:  2015-05-01       Impact factor: 3.312

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Journal:  Appl Environ Microbiol       Date:  2015-02       Impact factor: 4.792

5.  Genetic parameters and genome-wide association study regarding feed efficiency and slaughter traits in Charolais cows.

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6.  Bacterial community composition and fermentation patterns in the rumen of sika deer (Cervus nippon) fed three different diets.

Authors:  Zhipeng Li; André-Denis G Wright; Hanlu Liu; Kun Bao; Tietao Zhang; Kaiying Wang; Xuezhe Cui; Fuhe Yang; Zhigang Zhang; Guangyu Li
Journal:  Microb Ecol       Date:  2014-09-25       Impact factor: 4.552

7.  Response of Beef Cattle Fecal Microbiota to Grazing on Toxic Tall Fescue.

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Journal:  Appl Environ Microbiol       Date:  2019-07-18       Impact factor: 4.792

8.  Comparative study of the bacterial communities throughout the gastrointestinal tract in two beef cattle breeds.

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9.  Effect of cattle breed and basal diet on digestibility, rumen bacterial communities, and eating and rumination activity.

Authors:  Pedro H V Carvalho; Ana C J Pinto; Danilo D Millen; Tara L Felix
Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

10.  Rumen methanogenic genotypes differ in abundance according to host residual feed intake phenotype and diet type.

Authors:  Ciara A Carberry; Sinéad M Waters; Sinead M Waters; David A Kenny; Christopher J Creevey
Journal:  Appl Environ Microbiol       Date:  2013-11-08       Impact factor: 4.792

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