Literature DB >> 17431710

Analysis of methanogen diversity in the rumen using temporal temperature gradient gel electrophoresis: identification of uncultured methanogens.

Matthew J Nicholson1, Paul N Evans, Keith N Joblin.   

Abstract

A temporal temperature gradient gel electrophoresis (TTGE) method was developed to determine the diversity of methanogen populations in the rumen. Tests with amplicons from genomic DNA from 12 cultured methanogens showed single bands for all strains, with only two showing apparently comigrating bands. Fingerprints of methanogen populations were analyzed from DNA extracted from rumen contents from two cattle and four sheep grazing pasture. For one sheep, dilution cultures selective for methanogens were grown and the culturable methanogens in each successive dilution examined by TTGE. A total of 66 methanogen sequences were retrieved from bands in fingerprints and analyzed to reveal the presence of methanogens belonging to the Methanobacteriales, the Methanosarcinales, and to an uncultured archaeal lineage. Twenty-four sequences were most similar to Methanobrevibacter ruminantium, five to Methanobrevibacter smithii, four to Methanosphaera stadtmanae, and for three, the nearest match was Methanimicrococcus blatticola. The remaining 30 sequences did not cluster with sequences from cultured archaea, but when combined with published novel sequences from clone libraries formed a monophyletic lineage within the Euryarchaeota, which contained two previously unrecognized clusters. The TTGE bands from this lineage showed that the uncultured methanogens had significant population densities in each of the six rumen samples examined. In cultures of dilutions from one rumen sample, TTGE examination revealed these methanogens at a level of at least 10(5)g(-1). Band intensities from low-dilution cultures indicated that these methanogens were present at similar densities to Methanobrevibacter ruminantium-like methanogens, the sole culturable methanogens in high dilutions (10(6)-10(-10) g(-1)). It is suggested that the uncultured methanogens together with Methanobrevibacter spp. may be the predominant methanogens in the rumen. The TTGE method presented in this article provides a new opportunity for characterizing methanogen populations in the rumen microbial ecosystem.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17431710     DOI: 10.1007/s00248-006-9182-1

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  24 in total

1.  Method for avoiding PCR-inhibiting contaminants when eluting DNA from polyacrylamide gels.

Authors:  G E Etokebe; A Spurkland
Journal:  Biotechniques       Date:  2000-10       Impact factor: 1.993

2.  Isolation and characterization of Methanobacterium ruminantium n. sp.

Authors:  P H SMITH; R E HUNGATE
Journal:  J Bacteriol       Date:  1958-06       Impact factor: 3.490

3.  Assessment of ciliates in the sheep rumen by DGGE.

Authors:  M Regensbogenova; P Pristas; P Javorsky; S Y Moon-van der Staay; G W M van der Staay; J H P Hackstein; C J Newbold; N R McEwan
Journal:  Lett Appl Microbiol       Date:  2004       Impact factor: 2.858

4.  Molecular diversity of rumen methanogens from sheep in Western Australia.

Authors:  André-Denis G Wright; Andrew J Williams; Barbara Winder; Claus T Christophersen; Sharon L Rodgers; Kellie D Smith
Journal:  Appl Environ Microbiol       Date:  2004-03       Impact factor: 4.792

5.  ARB: a software environment for sequence data.

Authors:  Wolfgang Ludwig; Oliver Strunk; Ralf Westram; Lothar Richter; Harald Meier; Arno Buchner; Tina Lai; Susanne Steppi; Gangolf Jobb; Wolfram Förster; Igor Brettske; Stefan Gerber; Anton W Ginhart; Oliver Gross; Silke Grumann; Stefan Hermann; Ralf Jost; Andreas König; Thomas Liss; Ralph Lüssmann; Michael May; Björn Nonhoff; Boris Reichel; Robert Strehlow; Alexandros Stamatakis; Norbert Stuckmann; Alexander Vilbig; Michael Lenke; Thomas Ludwig; Arndt Bode; Karl-Heinz Schleifer
Journal:  Nucleic Acids Res       Date:  2004-02-25       Impact factor: 16.971

6.  Molecular identification of methanogenic archaea from sheep in Queensland, Australia reveal more uncultured novel archaea.

Authors:  André-Denis G Wright; Andrew F Toovey; Carolyn L Pimm
Journal:  Anaerobe       Date:  2006-04-18       Impact factor: 3.331

7.  Molecular microbial diversity of an anaerobic digestor as determined by small-subunit rDNA sequence analysis.

Authors:  J J Godon; E Zumstein; P Dabert; F Habouzit; R Moletta
Journal:  Appl Environ Microbiol       Date:  1997-07       Impact factor: 4.792

8.  Methanomicrococcus blatticola gen. nov., sp. nov., a methanol- and methylamine-reducing methanogen from the hindgut of the cockroach Periplaneta americana.

Authors:  W W Sprenger; M C van Belzen; J Rosenberg; J H Hackstein; J T Keltjens
Journal:  Int J Syst Evol Microbiol       Date:  2000-11       Impact factor: 2.747

9.  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

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

View more
  13 in total

1.  Optimization of the DGGE band identification method.

Authors:  Darja Kušar; Gorazd Avguštin
Journal:  Folia Microbiol (Praha)       Date:  2012-04-17       Impact factor: 2.099

2.  Molecular diversity of the rumen microbiome of Norwegian reindeer on natural summer pasture.

Authors:  Monica A Sundset; Joan E Edwards; Yan Fen Cheng; Roberto S Senosiain; Maria N Fraile; Korinne S Northwood; Kirsti E Praesteng; Trine Glad; Svein D Mathiesen; André-Denis G Wright
Journal:  Microb Ecol       Date:  2008-07-08       Impact factor: 4.552

Review 3.  Structure of the archaeal community of the rumen.

Authors:  Peter H Janssen; Marek Kirs
Journal:  Appl Environ Microbiol       Date:  2008-04-18       Impact factor: 4.792

Review 4.  Microbial fuel cells and microbial ecology: applications in ruminant health and production research.

Authors:  Orianna Bretschger; Jason B Osterstock; William E Pinchak; Shun'ichi Ishii; Karen E Nelson
Journal:  Microb Ecol       Date:  2009-12-22       Impact factor: 4.552

5.  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

6.  Metagenomics in animal gastrointestinal ecosystem: a microbiological and biotechnological perspective.

Authors:  B Singh; T K Bhat; N P Kurade; O P Sharma
Journal:  Indian J Microbiol       Date:  2008-06-17       Impact factor: 2.461

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.  Long-term monensin supplementation does not significantly affect the quantity or diversity of methanogens in the rumen of the lactating dairy cow.

Authors:  S E Hook; K S Northwood; A-D G Wright; B W McBride
Journal:  Appl Environ Microbiol       Date:  2008-11-21       Impact factor: 4.792

9.  High prevalence of Methanobrevibacter smithii and Methanosphaera stadtmanae detected in the human gut using an improved DNA detection protocol.

Authors:  Bédis Dridi; Mireille Henry; Amel El Khéchine; Didier Raoult; Michel Drancourt
Journal:  PLoS One       Date:  2009-09-17       Impact factor: 3.240

10.  Lean breed Landrace pigs harbor fecal methanogens at higher diversity and density than obese breed Erhualian pigs.

Authors:  Yu-heng Luo; Yong Su; André-Denis G Wright; Ling-li Zhang; Hauke Smidt; Wei-yun Zhu
Journal:  Archaea       Date:  2012-07-16       Impact factor: 3.273

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.