Skip to main content
Genome Announcements logoLink to Genome Announcements
. 2013 Feb 28;1(1):e00002-13. doi: 10.1128/genomeA.00002-13

Genome Sequence of Methanobrevibacter sp. Strain JH1, Isolated from Rumen of Korean Native Cattle

Jong-Hwan Lee a, Moon-Soo Rhee a, Sanjay Kumar a, Geun-Hye Lee a, Dong-Ho Chang a, Dae-Soo Kim b, Sang-Haeng Choi b, Dong-Woo Lee c, Min-Ho Yoon d, Byoung-Chan Kim a,
PMCID: PMC3587918  PMID: 23469331

Abstract

The Methanobrevibacter sp. strain JH1 was isolated from the rumen of Korean native cattle (HanWoo; Bos taurus coreanae). Here, we provide a 2.06-Mb draft genome sequence of strain JH1 that might provide more information about the lifestyle of rumen methanogens and about the genes and proteins that can be targeted to curb methane emissions.

GENOME ANNOUNCEMENT

Methane, a potent greenhouse gas emitted from agriculture, represents ~40% of the emissions produced by anthropogenic activities. Among these, enteric fermentation has the maximum share in methane emissions. Mitigation strategies to reduce these emissions are not persistent (1). A diversity analysis of rumen methanogens revealed the dominance of the genus Methanobrevibacter, irrespective of locations, diets, breeds, etc. (2, 3). Methanobrevibacter sp. strain JH1 was isolated from the rumen of Korean native cattle, and this is the first example of pure isolation of a novel archaeal rumen methanogen from the Republic of Korea. The draft whole genome sequence of strain JH1 will reveal information about the major proteins and key genes that can be targeted for successful, long-term methane mitigation strategies with broad efficacy for the rumen.

The genome (252,070 reads totaling ~71.2 Mb, ~34-fold coverage of the genome) was analyzed using a whole-genome shotgun strategy with the Roche 454 Titanium sequencer for pyrosequencing. Quality filtered reads generated through Roche software were assembled in silico using the 454 Newbler 2.6 assembler, and 43 contigs >500 bp in size were obtained. These contigs were further assembled into 4 scaffolds (N50 scaffold size, 816 kb) based on the paired-end information. Gene prediction was performed using the Glimmer 3.02 modeling software (4), RNAmmer-1.2 (5), and the NCBI Clusters of Orthologous Groups (COG) database (6). Gene annotation and screening for noncoding ribosomal RNAs and transfer RNAs were carried out by the Rapid Annotations using Subsystems Technology (RAST) server (7).

The percentage of G+C content in all contigs was 27.9%. A total of 58% of open reading frames (ORFs) (1,041) were annotatable with known proteins. The genome contained 1,786 protein-coding genes, 39 tRNA genes, and one copy of the large-subunit rRNA.

The presence of the methyl coenzyme reductase I (mcrI) system in JH1 likely indicates that it can grow on interspecies hydrogen transfer (8). Strain JH1 harbors genes that encode the enzymes used in energy metabolism, mainly within the methanogenesis pathway. It can grow with H2 plus CO2 and formate (fdhA, fdhB, fdhC) (2). Since these enzymes are present in cytoplasm, they can be used as a chemogenomic target to develop inhibitors. JH1 contains genes for exopolysaccharide production, protein glycosylation, and several adhesion-like proteins. The gene for sortase, a membrane-associated transpeptidase (srtA), was also identified in JH1, and its product can be used against methanogens (9). Mtr enzyme complex (MtrEDC; transfer methyl group from coenzyme M methyltransferase to coenzyme M, coupled to efflux of Na+ ions) was mentioned previously as a good antibody binding site (2). A similar enzyme complex was observed in the genome of JH1. Overall, the draft genome sequence of JH1 provides a better understanding of the cellular processes of genus Methanobrevibacter. It also provides clues regarding the functional roles of the proteins that can be targeted for the broad inhibition of rumen methanogens.

Nucleotide sequence accession numbers.

The draft genome sequence of Methanobrevibacter strain JH1 is available in DDBJ/EMBL/GenBank under the accession no. BAGX02000001 to BAGX02000054.

ACKNOWLEDGMENTS

This work was supported by the National Research Foundation of Korea (NRF) (grant no. OGM0211212), funded by the Korea government (MEST), and partially supported by grants RBM4351112 & NMN NMM0101232 from MEST and a grant from the KRIBB Research Initiative Program.

Footnotes

Citation Lee J-H, Rhee M-S, Kumar S, Lee G-H, Chang D-H, Kim D-S, Choi S-H, Lee D-W, Yoon M-H, Kim B-C. 2013. Genome sequence of Methanobrevibacter sp. strain JH1, isolated from rumen of Korean native cattle. Genome Announc. 1(1):e00002-13. doi:10.1128/genomeA.00002-13.

REFERENCES

  • 1. Kumar S, Puniya AK, Puniya M, Dagar SS, Sirohi SK, Singh K, Griffith GW. 2009. Factors affecting rumen methanogens and methane mitigation strategies. World J. Microbiol. Biotechnol. 25:1557–1566 [Google Scholar]
  • 2. Leahy SC, Kelly WJ, Altermann E, Ronimus RS, Yeoman CJ, Pacheco DM, Li D, Kong Z, McTavish S, Sang C, Lambie SC, Janssen PH, Dey D, Attwood GT. 2010. The genome sequence of the rumen methanogen Methanobrevibacter ruminantium reveals new possibilities for controlling ruminant methane emissions. PLoS One 5:e8926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Wright AD, Auckland CH, Lynn DH. 2007. Molecular diversity of methanogens in feedlot cattle from Ontario and Prince Edward Island, Canada. Appl. Environ. Microbiol. 73:4206–4210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Delcher AL, Harmon D, Kasif S, White O, Salzberg SL. 1999. Improved microbial gene identification with GLIMMER. Nucleic Acids Res. 27:4636–4641 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognes T, Ussery DW. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 35:3100–3108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. 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 Res. 29:22–28 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. 2008. The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Enoki M, Shinzato N, Sato H, Nakamura K, Kamagata Y. 2011. Comparative proteomic analysis of Methanothermobacter themautotrophicus ΔH in pure culture and in co-culture with a butyrate-oxidizing bacterium. PLoS One 6:e24309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Maresso AW, Schneewind O. 2008. Sortase as a target of anti-infective therapy. Pharmacol. Rev. 60:128–141 [DOI] [PubMed] [Google Scholar]

Articles from Genome Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES