Literature DB >> 33499937

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

William J Kelly1, Sinead C Leahy2, Janine Kamke3, Priya Soni2, Satoshi Koike4, Roderick Mackie5, Rekha Seshadri6, Gregory M Cook7, Sergio E Morales7, Chris Greening8, Graeme T Attwood9.   

Abstract

BACKGROUND: Digestive processes in the rumen lead to the release of methyl-compounds, mainly methanol and methylamines, which are used by methyltrophic methanogens to form methane, an important agricultural greenhouse gas. Methylamines are produced from plant phosphatidylcholine degradation, by choline trimethylamine lyase, while methanol comes from demethoxylation of dietary pectins via pectin methylesterase activity. We have screened rumen metagenomic and metatranscriptomic datasets, metagenome assembled genomes, and the Hungate1000 genomes to identify organisms capable of producing methyl-compounds. We also describe the enrichment of pectin-degrading and methane-forming microbes from sheep rumen contents and the analysis of their genomes via metagenomic assembly.
RESULTS: Screens of metagenomic data using the protein domains of choline trimethylamine lyase (CutC), and activator protein (CutD) found good matches only to Olsenella umbonata and to Caecibacter, while the Hungate1000 genomes and metagenome assembled genomes from the cattle rumen found bacteria within the phyla Actinobacteria, Firmicutes and Proteobacteria. The cutC and cutD genes clustered with genes that encode structural components of bacterial microcompartment proteins. Prevotella was the dominant genus encoding pectin methyl esterases, with smaller numbers of sequences identified from other fibre-degrading rumen bacteria. Some large pectin methyl esterases (> 2100 aa) were found to be encoded in Butyrivibrio genomes. The pectin-utilising, methane-producing consortium was composed of (i) a putative pectin-degrading bacterium (phylum Tenericutes, class Mollicutes), (ii) a galacturonate-using Sphaerochaeta sp. predicted to produce acetate, lactate, and ethanol, and (iii) a methylotrophic methanogen, Methanosphaera sp., with the ability to form methane via a primary ethanol-dependent, hydrogen-independent, methanogenesis pathway.
CONCLUSIONS: The main bacteria that produce methyl-compounds have been identified in ruminants. Their enzymatic activities can now be targeted with the aim of finding ways to reduce the supply of methyl-compound substrates to methanogens, and thereby limit methylotrophic methanogenesis in the rumen.

Entities:  

Keywords:  Bacterial; Methanol; Methyl-compound; Methylamines; Rumen

Year:  2019        PMID: 33499937      PMCID: PMC7807696          DOI: 10.1186/s42523-019-0016-0

Source DB:  PubMed          Journal:  Anim Microbiome        ISSN: 2524-4671


  55 in total

1.  MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2004-03-19       Impact factor: 16.971

2.  Fermentation, hydrogen, and sulfur metabolism in multiple uncultivated bacterial phyla.

Authors:  Kelly C Wrighton; Brian C Thomas; Itai Sharon; Christopher S Miller; Cindy J Castelle; Nathan C VerBerkmoes; Michael J Wilkins; Robert L Hettich; Mary S Lipton; Kenneth H Williams; Philip E Long; Jillian F Banfield
Journal:  Science       Date:  2012-09-28       Impact factor: 47.728

3.  Syntrophic Association by Cocultures of the Methanol- and CO(2)-H(2)-Utilizing Species Eubacterium limosum and Pectin-Fermenting Lachnospira multiparus During Growth in a Pectin Medium.

Authors:  L M Rode; B R Genthner; M P Bryant
Journal:  Appl Environ Microbiol       Date:  1981-07       Impact factor: 4.792

4.  Reducing emissions from agriculture to meet the 2 °C target.

Authors:  Eva Wollenberg; Meryl Richards; Pete Smith; Petr Havlík; Michael Obersteiner; Francesco N Tubiello; Martin Herold; Pierre Gerber; Sarah Carter; Andrew Reisinger; Detlef P van Vuuren; Amy Dickie; Henry Neufeldt; Björn O Sander; Reiner Wassmann; Rolf Sommer; James E Amonette; Alessandra Falcucci; Mario Herrero; Carolyn Opio; Rosa Maria Roman-Cuesta; Elke Stehfest; Henk Westhoek; Ivan Ortiz-Monasterio; Tek Sapkota; Mariana C Rufino; Philip K Thornton; Louis Verchot; Paul C West; Jean-François Soussana; Tobias Baedeker; Marc Sadler; Sonja Vermeulen; Bruce M Campbell
Journal:  Glob Chang Biol       Date:  2016-07-11       Impact factor: 10.863

5.  Biochemical characterization and relative expression levels of multiple carbohydrate esterases of the xylanolytic rumen bacterium Prevotella ruminicola 23 grown on an ester-enriched substrate.

Authors:  Mirjam A Kabel; Carl J Yeoman; Yejun Han; Dylan Dodd; Charles A Abbas; Jan A M de Bont; Mark Morrison; Isaac K O Cann; Roderick I Mackie
Journal:  Appl Environ Microbiol       Date:  2011-07-08       Impact factor: 4.792

6.  Identification and characterization of a novel periplasmic polygalacturonic acid binding protein from Yersinia enterolitica.

Authors:  D Wade Abbott; Susanne Hrynuik; Alisdair B Boraston
Journal:  J Mol Biol       Date:  2007-01-13       Impact factor: 5.469

7.  The genome sequence of the rumen methanogen Methanobrevibacter ruminantium reveals new possibilities for controlling ruminant methane emissions.

Authors:  Sinead C Leahy; William J Kelly; Eric Altermann; Ron S Ronimus; Carl J Yeoman; Diana M Pacheco; Dong Li; Zhanhao Kong; Sharla McTavish; Carrie Sang; Suzanne C Lambie; Peter H Janssen; Debjit Dey; Graeme T Attwood
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

8.  Characterization and detection of a widely distributed gene cluster that predicts anaerobic choline utilization by human gut bacteria.

Authors:  Ana Martínez-del Campo; Smaranda Bodea; Hilary A Hamer; Jonathan A Marks; Henry J Haiser; Peter J Turnbaugh; Emily P Balskus
Journal:  MBio       Date:  2015-04-14       Impact factor: 7.867

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

Authors:  Jong-Hwan Lee; 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
Journal:  Genome Announc       Date:  2013-02-28

10.  Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range.

Authors:  Gemma Henderson; Faith Cox; Siva Ganesh; Arjan Jonker; Wayne Young; Peter H Janssen
Journal:  Sci Rep       Date:  2015-10-09       Impact factor: 4.379

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  7 in total

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Authors:  Susanne Künzel; Timur Yergaliyev; Katharina J Wild; Hanna Philippi; Asta H Petursdottir; Helga Gunnlaugsdottir; Chris K Reynolds; David J Humphries; Amélia Camarinha-Silva; Markus Rodehutscord
Journal:  Front Microbiol       Date:  2022-06-28       Impact factor: 6.064

2.  Factors shaping the abundance and diversity of the gut archaeome across the animal kingdom.

Authors:  Courtney M Thomas; Elie Desmond-Le Quéméner; Simonetta Gribaldo; Guillaume Borrel
Journal:  Nat Commun       Date:  2022-06-10       Impact factor: 17.694

Review 3.  Hydrogen and formate production and utilisation in the rumen and the human colon.

Authors:  William J Kelly; Roderick I Mackie; Graeme T Attwood; Peter H Janssen; Tim A McAllister; Sinead C Leahy
Journal:  Anim Microbiome       Date:  2022-03-14

4.  Methane emissions and rumen metabolite concentrations in cattle fed two different silages.

Authors:  R Bica; J Palarea-Albaladejo; J Lima; D Uhrin; G A Miller; J M Bowen; D Pacheco; A Macrae; R J Dewhurst
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

5.  Modulation of rumen bacterial community and feed utilization in camel and sheep using combined supplementation of live yeast and microalgae.

Authors:  Alaa Emara Rabee; Boshra R Younan; Khalid Z Kewan; Ebrahim A Sabra; Mebarek Lamara
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

6.  The effect of 3-nitrooxypropanol, a potent methane inhibitor, on ruminal microbial gene expression profiles in dairy cows.

Authors:  Dipti W Pitta; Nagaraju Indugu; Audino Melgar; Alexander Hristov; Krishna Challa; Bonnie Vecchiarelli; Meagan Hennessy; Kapil Narayan; Stephane Duval; Maik Kindermann; Nicola Walker
Journal:  Microbiome       Date:  2022-09-13       Impact factor: 16.837

7.  Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen.

Authors:  Veronica Kaplan-Shabtai; Nagaraju Indugu; Meagan Leslie Hennessy; Bonnie Vecchiarelli; Joseph Samuel Bender; Darko Stefanovski; Camila Flavia De Assis Lage; Susanna Elisabeth Räisänen; Audino Melgar; Krum Nedelkov; Molly Elizabeth Fetter; Andrea Fernandez; Addison Spitzer; Alexander Nikolov Hristov; Dipti Wilhelmina Pitta
Journal:  Front Microbiol       Date:  2021-06-09       Impact factor: 5.640

  7 in total

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