Literature DB >> 20418436

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

Mi Zhou1, Emma Hernandez-Sanabria, Le Luo Guan.   

Abstract

Understanding ruminal methanogens is essential for greenhouse gas mitigation, as well as for improving animal performance in the livestock industry. It has been speculated that ruminal methanogenic diversity affects host feed efficiency and results in differences in methane production. This study examined methanogenic profiles in the rumen using culture-independent PCR-denaturing gradient gel electrophoresis (PCR-DGGE) analysis for 56 beef cattle which differed in feed efficiency, as well as diet (the cattle were fed a low-energy diet or a high-energy diet). The methanogenic PCR-DGGE profiles detected were greatly affected by diet, and the major pattern changed from a community containing predominantly Methanobrevibacter ruminantium NT7 with the low-energy diet to a community containing predominantly Methanobrevibacter smithii, Methanobrevibacter sp. AbM4, and/or M. ruminantium NT7 with the high-energy diet. For each diet, the methanogenic PCR-DGGE pattern was strongly associated with the feed efficiency of the host. Diet-associated bands for Methanobrevibacter sp. AbM4 and M. smithii SM9 and a feed efficiency-related band for M. smithii PS were identified. The abundance of total methanogens was estimated by determining the numbers of copies of the 16S rRNA genes of methanogens. However, the size of the methanogen population did not correlate with differences in feed efficiency, diet, or metabolic measurements. Thus, the structure of the methanogenic community at the species or strain level may be more important for determining host feed efficiency under different dietary conditions.

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Year:  2010        PMID: 20418436      PMCID: PMC2893468          DOI: 10.1128/AEM.00010-10

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


  31 in total

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Authors:  Le Luo Guan; Joshua D Nkrumah; John A Basarab; Stephen S Moore
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3.  Some rumen ciliates have endosymbiotic methanogens.

Authors:  B J Finlay; G Esteban; K J Clarke; A G Williams; T M Embley; R P Hirt
Journal:  FEMS Microbiol Lett       Date:  1994-04-01       Impact factor: 2.742

4.  The genome sequence of Methanosphaera stadtmanae reveals why this human intestinal archaeon is restricted to methanol and H2 for methane formation and ATP synthesis.

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Journal:  J Bacteriol       Date:  2006-01       Impact factor: 3.490

5.  Phylogenetic analysis of methanogens from the bovine rumen.

Authors:  M F Whitford; R M Teather; R J Forster
Journal:  BMC Microbiol       Date:  2001-05-16       Impact factor: 3.605

6.  Methanobrevibacter phylotypes are the dominant methanogens in sheep from Venezuela.

Authors:  André-Denis G Wright; Xuanli Ma; Nestor E Obispo
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Journal:  Cell Host Microbe       Date:  2008-04-17       Impact factor: 21.023

8.  Genomic and metabolic adaptations of Methanobrevibacter smithii to the human gut.

Authors:  Buck S Samuel; Elizabeth E Hansen; Jill K Manchester; Pedro M Coutinho; Bernard Henrissat; Robert Fulton; Philippe Latreille; Kung Kim; Richard K Wilson; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-11       Impact factor: 11.205

9.  Methane emissions from cattle.

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10.  16S rDNA directed PCR primers and detection of methanogens in the bovine rumen.

Authors:  L C Skillman; P N Evans; C Strömpl; K N Joblin
Journal:  Lett Appl Microbiol       Date:  2006-03       Impact factor: 2.858

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  48 in total

1.  Impact of feed efficiency and diet on adaptive variations in the bacterial community in the rumen fluid of cattle.

Authors:  Emma Hernandez-Sanabria; Laksiri A Goonewardene; Zhiquan Wang; Obioha N Durunna; Stephen S Moore; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2011-12-09       Impact factor: 4.792

2.  Analysis of rumen methanogen diversity in water buffaloes (Bubalus bubalis) under three different diets.

Authors:  Raul Franzolin; Benoit St-Pierre; Korinne Northwood; André-Denis G Wright
Journal:  Microb Ecol       Date:  2012-07       Impact factor: 4.552

3.  Methanogen prevalence throughout the gastrointestinal tract of pre-weaned dairy calves.

Authors:  Mi Zhou; Yanhong Chen; Philip J Griebel; Le Luo Guan
Journal:  Gut Microbes       Date:  2014

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

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Journal:  J Anim Sci       Date:  2019-09-03       Impact factor: 3.159

5.  Age-Related Response of Rumen Microbiota to Mineral Salt and Effects of Their Interactions on Enteric Methane Emissions in Cattle.

Authors:  C Liu; X H Li; Y X Chen; Z H Cheng; Q H Duan; Q H Meng; X P Tao; B Shang; H M Dong
Journal:  Microb Ecol       Date:  2016-12-06       Impact factor: 4.552

6.  Changes in bacterial diversity associated with epithelial tissue in the beef cow rumen during the transition to a high-grain diet.

Authors:  Yanhong Chen; Gregory B Penner; Meiju Li; Masahito Oba; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

7.  Diversity and variability of methanogens during the shift from mesophilic to thermohilic conditions while biogas production.

Authors:  A Ziembińska-Buczyńska; A Banach; T Bacza; M Pieczykolan
Journal:  World J Microbiol Biotechnol       Date:  2014-09-14       Impact factor: 3.312

8.  Differences in the rumen methanogen populations of lactating Jersey and Holstein dairy cows under the same diet regimen.

Authors:  Erin E King; Rachel P Smith; Benoit St-Pierre; André-Denis G Wright
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

9.  Associative effects of wet distiller's grains plus solubles and tannin-rich peanut skin supplementation on in vitro rumen fermentation, greenhouse gas emissions, and microbial changes1.

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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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