Literature DB >> 23469331

Genome sequence of Methanobrevibacter sp. strain jh1, isolated from rumen of Korean native cattle.

Jong-Hwan Lee1, Moon-Soo Rhee, Sanjay Kumar, Geun-Hye Lee, Dong-Ho Chang, Dae-Soo Kim, Sang-Haeng Choi, Dong-Woo Lee, Min-Ho Yoon, Byoung-Chan Kim.   

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.

Entities:  

Year:  2013        PMID: 23469331      PMCID: PMC3587918          DOI: 10.1128/genomeA.00002-13

Source DB:  PubMed          Journal:  Genome Announc


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.
  8 in total

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8.  The RAST Server: rapid annotations using subsystems technology.

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Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

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1.  Few highly abundant operational taxonomic units dominate within rumen methanogenic archaeal species in New Zealand sheep and cattle.

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Review 2.  Bovicins: The Bacteriocins of Streptococci and Their Potential in Methane Mitigation.

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3.  The Complete Genome Sequence of Methanobrevibacter sp. AbM4.

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4.  The Draft Genome of the Non-Host-Associated Methanobrevibacter arboriphilus Strain DH1 Encodes a Large Repertoire of Adhesin-Like Proteins.

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Journal:  Archaea       Date:  2017-05-28       Impact factor: 3.273

5.  Comparative Genomic Analysis of Members of the Genera Methanosphaera and Methanobrevibacter Reveals Distinct Clades with Specific Potential Metabolic Functions.

Authors:  Anja Poehlein; Dominik Schneider; Melissa Soh; Rolf Daniel; Henning Seedorf
Journal:  Archaea       Date:  2018-08-19       Impact factor: 3.273

6.  Occurrence and expression of genes encoding methyl-compound production in rumen bacteria.

Authors:  William J Kelly; Sinead C Leahy; Janine Kamke; Priya Soni; Satoshi Koike; Roderick Mackie; Rekha Seshadri; Gregory M Cook; Sergio E Morales; Chris Greening; Graeme T Attwood
Journal:  Anim Microbiome       Date:  2019-11-14

7.  The complete genome sequence of the rumen methanogen Methanosarcina barkeri CM1.

Authors:  Suzanne C Lambie; William J Kelly; Sinead C Leahy; Dong Li; Kerri Reilly; Tim A McAllister; Edith R Valle; Graeme T Attwood; Eric Altermann
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8.  Associative patterns among anaerobic fungi, methanogenic archaea, and bacterial communities in response to changes in diet and age in the rumen of dairy cows.

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