Literature DB >> 31091313

Predicting residual feed intake status using rumen microbial profiles in ewe lambs1.

Melinda J Ellison1, Gavin C Conant2, William R Lamberson3, Kathleen J Austin4, Edward van Kirk4, Hannah C Cunningham4, Daniel C Rule4, Kristi M Cammack5.   

Abstract

Including feed efficiency as a trait for selection has gained interest in the sheep industry because it can result in reduced feed inputs or improve stocking rates, both of which translate into increased profitability for the producer. It is of interest whether the feed efficiency status of a testing population of sheep could be predicted using rumen microbial profiles associated with divergent feed efficiency status in a training population of sheep. Two populations of ewes were fed the same diet, and each group was evaluated for feed efficiency. A total of 20 animals in the testing population were selected for prediction assessment using feed efficiency, including the 6 top-ranked, the 6 bottom-ranked, and 8 middle-ranked ewes stratified over the distribution. Rumen fluid samples were collected and DNA was extracted for sequencing. Using a rumen microbial profile associated with diverging feed efficiency created from the training population, multiple discriminant analyses were performed using the DISCRIM procedure of SAS to determine the probability of correctly identifying lambs in the testing population as low, medium, or high feed efficiency using their microbial profiles. A profile of 6 rumen microbial species were used to correctly (P < 0.001) predict all testing population ewes into their actual feed efficiency status. A regression analysis using the same microbial profile was used to predict feed efficiency values, which were strongly correlated (r = 0.71; P < 0.001) with actual feed efficiency values. These results indicate that specific rumen microbial species may play a role in feed efficiency, and that a microbial profile could be used to rank sheep for feed efficiency.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  RFI prediction; feed efficiency; rumen microbiome; sheep

Mesh:

Year:  2019        PMID: 31091313      PMCID: PMC6606518          DOI: 10.1093/jas/skz170

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  28 in total

1.  Isolation and characterisation of a novel spirochaete from severe virulent ovine foot rot.

Authors:  I Demirkan; S D Carter; C Winstanley; K D Bruce; N M McNAIR; M Woodside; C A Hart
Journal:  J Med Microbiol       Date:  2001-12       Impact factor: 2.472

2.  Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.

Authors:  Andrew K Benson; Scott A Kelly; Ryan Legge; Fangrui Ma; Soo Jen Low; Jaehyoung Kim; Min Zhang; Phaik Lyn Oh; Derrick Nehrenberg; Kunjie Hua; Stephen D Kachman; Etsuko N Moriyama; Jens Walter; Daniel A Peterson; Daniel Pomp
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

3.  Estimates of genetic parameters for feed intake, feeding behavior, and daily gain in composite ram lambs.

Authors:  K M Cammack; K A Leymaster; T G Jenkins; M K Nielsen
Journal:  J Anim Sci       Date:  2005-04       Impact factor: 3.159

4.  Linkage of microbial ecology to phenotype: correlation of rumen microbial ecology to cattle's feed efficiency.

Authors:  Le Luo Guan; Joshua D Nkrumah; John A Basarab; Stephen S Moore
Journal:  FEMS Microbiol Lett       Date:  2008-11       Impact factor: 2.742

Review 5.  Unravelling the effects of the environment and host genotype on the gut microbiome.

Authors:  Aymé Spor; Omry Koren; Ruth Ley
Journal:  Nat Rev Microbiol       Date:  2011-04       Impact factor: 60.633

6.  Characterization of variation in rumen methanogenic communities under different dietary and host feed efficiency conditions, as determined by PCR-denaturing gradient gel electrophoresis analysis.

Authors:  Mi Zhou; Emma Hernandez-Sanabria; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2010-04-23       Impact factor: 4.792

7.  Assessment of the microbial ecology of ruminal methanogens in cattle with different feed efficiencies.

Authors:  Mi Zhou; Emma Hernandez-Sanabria; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2009-08-28       Impact factor: 4.792

8.  Estimates of genetic parameters and selection strategies to improve the economic efficiency of postweaning growth in lambs.

Authors:  G D Snowder; L D Van Vleck
Journal:  J Anim Sci       Date:  2003-11       Impact factor: 3.159

9.  Improved extraction of PCR-quality community DNA from digesta and fecal samples.

Authors:  Zhongtang Yu; Mark Morrison
Journal:  Biotechniques       Date:  2004-05       Impact factor: 1.993

Review 10.  Health benefits of dietary fiber.

Authors:  James W Anderson; Pat Baird; Richard H Davis; Stefanie Ferreri; Mary Knudtson; Ashraf Koraym; Valerie Waters; Christine L Williams
Journal:  Nutr Rev       Date:  2009-04       Impact factor: 7.110

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