Literature DB >> 24212580

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

Ciara A Carberry1, Sinéad M Waters, Sinead M Waters, David A Kenny, Christopher J Creevey.   

Abstract

Methane is an undesirable end product of rumen fermentative activity because of associated environmental impacts and reduced host feed efficiency. Our study characterized the rumen microbial methanogenic community in beef cattle divergently selected for phenotypic residual feed intake (RFI) while offered a high-forage (HF) diet followed by a low-forage (LF) diet. Rumen fluid was collected from 14 high-RFI (HRFI) and 14 low-RFI (LRFI) animals at the end of both dietary periods. 16S rRNA gene clone libraries were used, and methanogen-specific tag-encoded pyrosequencing was carried out on the samples. We found that Methanobrevibacter spp. are the dominant methanogens in the rumen, with Methanobrevibacter smithii being the most abundant species. Differences in the abundance of Methanobrevibacter smithii and Methanosphaera stadtmanae genotypes were detected in the rumen of animals offered the LF compared to the HF diet while the abundance of Methanobrevibacter smithii genotypes was different between HRFI and LRFI animals irrespective of diet. Our results demonstrate that while a core group of methanogen operational taxonomic units (OTUs) exist across diet and phenotype, significant differences were observed in the distribution of genotypes within those OTUs. These changes in genotype abundance may contribute to the observed differences in methane emissions between efficient and inefficient animals.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24212580      PMCID: PMC3911112          DOI: 10.1128/AEM.03131-13

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


  46 in total

1.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

2.  Control of rumen methanogenesis.

Authors:  C J Van Nevel; D I Demeyer
Journal:  Environ Monit Assess       Date:  1996-09       Impact factor: 2.513

3.  Diversity, abundance and novel 16S rRNA gene sequences of methanogens in rumen liquid, solid and epithelium fractions of Jinnan cattle.

Authors:  Cai-Xia Pei; Sheng-Yong Mao; Yan-Fen Cheng; Wei-Yun Zhu
Journal:  Animal       Date:  2010-01       Impact factor: 3.240

4.  Jalview Version 2--a multiple sequence alignment editor and analysis workbench.

Authors:  Andrew M Waterhouse; James B Procter; David M A Martin; Michèle Clamp; Geoffrey J Barton
Journal:  Bioinformatics       Date:  2009-01-16       Impact factor: 6.937

5.  Ironing out the wrinkles in the rare biosphere through improved OTU clustering.

Authors:  Susan M Huse; David Mark Welch; Hilary G Morrison; Mitchell L Sogin
Journal:  Environ Microbiol       Date:  2010-03-11       Impact factor: 5.491

6.  Effect of energy concentration and source of nitrogen on numbers and types of rumen protozoa.

Authors:  S M Dennis; M J Arambel; E E Bartley; A D Dayton
Journal:  J Dairy Sci       Date:  1983-06       Impact factor: 4.034

7.  The Ribosomal Database Project (RDP).

Authors:  B L Maidak; G J Olsen; N Larsen; R Overbeek; M J McCaughey; C R Woese
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

8.  Methane emissions from cattle.

Authors:  K A Johnson; D E Johnson
Journal:  J Anim Sci       Date:  1995-08       Impact factor: 3.159

9.  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

10.  Pan-genome of the dominant human gut-associated archaeon, Methanobrevibacter smithii, studied in twins.

Authors:  Elizabeth E Hansen; Catherine A Lozupone; Federico E Rey; Meng Wu; Janaki L Guruge; Aneesha Narra; Jonathan Goodfellow; Jesse R Zaneveld; Daniel T McDonald; Julia A Goodrich; Andrew C Heath; Rob Knight; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-11       Impact factor: 11.205

View more
  35 in total

1.  Influence of Diet Composition on Cattle Rumen Methanogenesis: A Comparative Metagenomic Analysis in Indian and Exotic Cattle.

Authors:  Nidhi R Parmar; Prabhakar D Pandit; Hemant J Purohit; J I Nirmal Kumar; Chaitanya G Joshi
Journal:  Indian J Microbiol       Date:  2017-01-16       Impact factor: 2.461

2.  Exploring a Possible Link between the Intestinal Microbiota and Feed Efficiency in Pigs.

Authors:  Ursula M McCormack; Tânia Curião; Stefan G Buzoianu; Maria L Prieto; Tomas Ryan; Patrick Varley; Fiona Crispie; Elizabeth Magowan; Barbara U Metzler-Zebeli; Donagh Berry; Orla O'Sullivan; Paul D Cotter; Gillian E Gardiner; Peadar G Lawlor
Journal:  Appl Environ Microbiol       Date:  2017-07-17       Impact factor: 4.792

3.  Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.

Authors:  Fuyong Li; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2017-04-17       Impact factor: 4.792

4.  Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome.

Authors:  Weibing Shi; Christina D Moon; Sinead C Leahy; Dongwan Kang; Jeff Froula; Sandra Kittelmann; Christina Fan; Samuel Deutsch; Dragana Gagic; Henning Seedorf; William J Kelly; Renee Atua; Carrie Sang; Priya Soni; Dong Li; Cesar S Pinares-Patiño; John C McEwan; Peter H Janssen; Feng Chen; Axel Visel; Zhong Wang; Graeme T Attwood; Edward M Rubin
Journal:  Genome Res       Date:  2014-06-06       Impact factor: 9.043

5.  Quantitative analysis of ruminal methanogenic microbial populations in beef cattle divergent in phenotypic residual feed intake (RFI) offered contrasting diets.

Authors:  Ciara A Carberry; David A Kenny; Alan K Kelly; Sinéad M Waters
Journal:  J Anim Sci Biotechnol       Date:  2014-08-22

6.  The Effect of DNA Extraction Methods on Observed Microbial Communities from Fibrous and Liquid Rumen Fractions of Dairy Cows.

Authors:  Jueeli D Vaidya; Bartholomeus van den Bogert; Joan E Edwards; Jos Boekhorst; Sanne van Gastelen; Edoardo Saccenti; Caroline M Plugge; Hauke Smidt
Journal:  Front Microbiol       Date:  2018-01-31       Impact factor: 5.640

7.  Effects of Lactobacillus rhamnosus and Enterococcus faecalis Supplementation as Direct-Fed Microbials on Rumen Microbiota of Boer and Speckled Goat Breeds.

Authors:  Takalani Whitney Maake; Olayinka Ayobami Aiyegoro; Matthew Adekunle Adeleke
Journal:  Vet Sci       Date:  2021-06-07

8.  Vaginal Microbiome Characterization of Nellore Cattle Using Metagenomic Analysis.

Authors:  Mateus Laguardia-Nascimento; Kelly Moreira Grillo Ribeiro Branco; Marcela Ribeiro Gasparini; Silvia Giannattasio-Ferraz; Laura Rabelo Leite; Flávio Marcos Gomes Araujo; Anna Christina de Matos Salim; Jacques Robert Nicoli; Guilherme Corrêa de Oliveira; Edel Figueiredo Barbosa-Stancioli
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

9.  RIM-DB: a taxonomic framework for community structure analysis of methanogenic archaea from the rumen and other intestinal environments.

Authors:  Henning Seedorf; Sandra Kittelmann; Gemma Henderson; Peter H Janssen
Journal:  PeerJ       Date:  2014-08-05       Impact factor: 2.984

10.  Bacteria and methanogens differ along the gastrointestinal tract of Chinese roe deer (Capreolus pygargus).

Authors:  Zhipeng Li; Zhigang Zhang; Chao Xu; Jingbo Zhao; Hanlu Liu; Zhongyuan Fan; Fuhe Yang; André-Denis G Wright; Guangyu Li
Journal:  PLoS One       Date:  2014-12-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.