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Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep.
Kamke, Janine; Soni, Priya; Li, Yang; Ganesh, Siva; Kelly, William J; Leahy, Sinead C; Shi, Weibing; Froula, Jeff; Rubin, Edward M; Attwood, Graeme T.
Afiliação
  • Kamke J; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Soni P; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Li Y; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Ganesh S; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Kelly WJ; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Leahy SC; AgResearch Limited, Grasslands Research Centre, Tennent Drive, Palmerston North, 4442, New Zealand.
  • Shi W; Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA.
  • Froula J; Genomic Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
  • Rubin EM; Department of Energy, Joint Genome Institute, Walnut Creek, CA, 94598, USA.
  • Attwood GT; Genomic Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
BMC Res Notes ; 10(1): 367, 2017 Aug 08.
Article em En | MEDLINE | ID: mdl-28789673
ABSTRACT

BACKGROUND:

Ruminants are important contributors to global methane emissions via microbial fermentation in their reticulo-rumens. This study is part of a larger program, characterising the rumen microbiomes of sheep which vary naturally in methane yield (g CH4/kg DM/day) and aims to define differences in microbial communities, and in gene and transcript abundances that can explain the animal methane phenotype.

METHODS:

Rumen microbiome metagenomic and metatranscriptomic data were analysed by Gene Set Enrichment, sparse partial least squares regression and the Wilcoxon Rank Sum test to estimate correlations between specific KEGG bacterial pathways/genes and high methane yield in sheep. KEGG genes enriched in high methane yield sheep were reassembled from raw reads and existing contigs and analysed by MEGAN to predict their phylogenetic origin. Protein coding sequences from Succinivibrio dextrinosolvens strains were analysed using Effective DB to predict bacterial type III secreted proteins. The effect of S. dextrinosolvens strain H5 growth on methane formation by rumen methanogens was explored using co-cultures.

RESULTS:

Detailed analysis of the rumen microbiomes of high methane yield sheep shows that gene and transcript abundances of bacterial type III secretion system genes are positively correlated with methane yield in sheep. Most of the bacterial type III secretion system genes could not be assigned to a particular bacterial group, but several genes were affiliated with the genus Succinivibrio, and searches of bacterial genome sequences found that strains of S. dextrinosolvens were part of a small group of rumen bacteria that encode this type of secretion system. In co-culture experiments, S. dextrinosolvens strain H5 showed a growth-enhancing effect on a methanogen belonging to the order Methanomassiliicoccales, and inhibition of a representative of the Methanobrevibacter gottschalkii clade.

CONCLUSIONS:

This is the first report of bacterial type III secretion system genes being associated with high methane emissions in ruminants, and identifies these secretions systems as potential new targets for methane mitigation research. The effects of S. dextrinosolvens on the growth of rumen methanogens in co-cultures indicate that bacteria-methanogen interactions are important modulators of methane production in ruminant animals.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Proteínas de Bactérias / Regulação Bacteriana da Expressão Gênica / Transcriptoma / Sistemas de Secreção Tipo III / Metano Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Proteínas de Bactérias / Regulação Bacteriana da Expressão Gênica / Transcriptoma / Sistemas de Secreção Tipo III / Metano Idioma: En Ano de publicação: 2017 Tipo de documento: Article