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RESEARCH ARTICLE

Analysis of the Methanobrevibacter ruminantium draft genome: understanding methanogen biology to inhibit their action in the rumen

G. T. Attwood A B , W. J. Kelly A , E. H. Altermann A and S. C. Leahy A
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A Food, Metabolism and Microbiology Section Grassland Research Centre, Palmerston North, New Zealand.

B Corresponding author. Email: graeme.attwood@agresearch.co.nz

Australian Journal of Experimental Agriculture 48(2) 83-88 https://doi.org/10.1071/EA07269
Submitted: 9 August 2007  Accepted: 4 October 2007   Published: 2 January 2008

Abstract

Methane is produced in the foregut (rumen) of ruminants by methanogens, which act as terminal reducers of carbon in the rumen system. The multistep methanogenesis pathway is well elucidated, mainly from the study of non-rumen methanogens, but the adaptations that allow methanogens to grow and persist in the rumen are not well understood. The Pastoral Greenhouse Gas Research Consortium is sequencing the genome of Methanobrevibacter ruminantium, a prominent methanogen in New Zealand ruminants, as part of a project to mitigate greenhouse gases. The genome is ~3.0 Mb in size with a guanine–cytosine (GC) content of 33.68%. All of the components of the methanogenesis pathway have been identified and comparison of these gene sequences with those from Methanothermobacter thermoautotrophicus and Methanosphaera stadtmanae indicates that methanogenesis gene organisation is conserved within the Methanobacteriales. The genome of M. ruminantium contains a prophage sequence (designated φmru) with distinct functional modules encoding phage integration, DNA replication and packaging, capsid proteins and lysis functions. A low GC region found at the distal end of the phage sequence harbours a putative DNA restriction/modification system which might provide additional protection against foreign DNA. The genome also contains many large surface proteins with characteristics that indicate that they may mediate association with other rumen microbes. Approximately half of the genes identified within the genome have no known function. Determining the function of these new genes will assist in defining the role of M. ruminantium in methane formation in the rumen and help identify means to control methane emissions from ruminant animals.


References


Altermann E, Klaenhammer TR (2003) GAMOLA: a new local solution for sequence annotation and analyzing draft and finished prokaryotic genomes. OMICS 7, 161–169.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | [Verified 12 November 2007].

Delcher AL, Harmon D, Kasif S, White O, Salzberg SL (1999) Improved microbial gene identification with GLIMMER. Nucleic Acids Research 27, 4636–4641.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | [Verified 12 November 2007].

New Zealand Statistics (2005) Statistics New Zealand. Available at www.stats.govt.nz [Verified 14 November 2007].

Reeve JN, Nolling J, Morgan RM, Smith DR (1997) Methanogenesis: genes, genomes and who’s on first? Journal of Bacteriology 179, 5975–5986.
CAS | PubMed |
open url image1

Samuel BS, Hansen EE, Manchester JK, Coutinho PM, Henrissat B, Fulton R, Latreille P, Kim K, Wilson RK, Gordon JI (2007) Genomic adaptations of Methanobrevibacter smithii to the human gut. Proceedings of the National Academy of Sciences of the United States of America 104, 10643–10648.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Smith PH, Hungate RE (1958) Isolation and characterization of Methanobacterium ruminantium n. sp. Journal of Bacteriology 75, 713–718.
CAS | PubMed |
open url image1

Smith DR, Doucette-Stam LA, Deloughry C, Lee H, Dubois J , et al. (1997) Complete genome sequence of Methanobacterium thermoautotrophicum ΔH: functional analysis and comparative genomics. Journal of Bacteriology 179, 7135–7155.
CAS | PubMed |
open url image1

Staden R, Beal KF, Bonfield JK (1998) The Staden Package. Methods in Molecular Biology. Bioinformatics Methods and Protocols 132, 115–130.
Crossref |
open url image1

Tatusov RL, Natale DA, Garkavtsev IV, Tatusova TA, Shankavaram UT, Rao BS, Kiryutin B, Galperin MY, Fedorova ND, Koonin EV (2001) The COG database: new developments in phylogenetic classification of proteins from complete genomes. Nucleic Acids Research 29, 22–28.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1