Literature DB >> 25387109

The early impact of genomics and metagenomics on ruminal microbiology.

Stuart E Denman1, Christopher S McSweeney.   

Abstract

Knowledge gained from early and recent studies that define the functions of microbial populations within the rumen microbiome is essential to allow for directed rumen manipulation strategies. A large number of omic studies have focused on carbohydrate active enzymes either for improved fiber digestion within the animal or for use in industries such as biofuels. Studies of the rumen microbiome with respect to methane production and abatement strategies have led to initiatives for defining the microbiome of low- and high-methane-emitting animals while ensuring optimal feed conversion. With advances in omic technologies, the ability to link host genetics and the rumen microbiome by studying all the biological components (holobiont) through the use of hologenomics has begun. However, a program to culture and isolate microbial species for the purpose of standard microbial characterization to aid in assigning function to genomic data remains critical, especially for genes of unknown function.

Entities:  

Keywords:  ecology; methane; microbiome; omics; xenobiotic

Mesh:

Substances:

Year:  2014        PMID: 25387109     DOI: 10.1146/annurev-animal-022114-110705

Source DB:  PubMed          Journal:  Annu Rev Anim Biosci        ISSN: 2165-8102            Impact factor:   8.923


  6 in total

Review 1.  Polysaccharide Utilization Loci: Fueling Microbial Communities.

Authors:  Julie M Grondin; Kazune Tamura; Guillaume Déjean; D Wade Abbott; Harry Brumer
Journal:  J Bacteriol       Date:  2017-07-11       Impact factor: 3.490

Review 2.  Toward the identification of methanogenic archaeal groups as targets of methane mitigation in livestock animalsr.

Authors:  Benoit St-Pierre; Laura M Cersosimo; Suzanne L Ishaq; André-Denis G Wright
Journal:  Front Microbiol       Date:  2015-07-30       Impact factor: 5.640

Review 3.  Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Authors:  Robert J Wallace; Timothy J Snelling; Christine A McCartney; Ilma Tapio; Francesco Strozzi
Journal:  Genet Sel Evol       Date:  2017-01-16       Impact factor: 4.297

4.  Multi-omic Directed Discovery of Cellulosomes, Polysaccharide Utilization Loci, and Lignocellulases from an Enriched Rumen Anaerobic Consortium.

Authors:  Geizecler Tomazetto; Agnes C Pimentel; Daniel Wibberg; Neil Dixon; Fabio M Squina
Journal:  Appl Environ Microbiol       Date:  2020-09-01       Impact factor: 4.792

5.  Residual feed intake divergence during the preweaning period is associated with unique hindgut microbiome and metabolome profiles in neonatal Holstein heifer calves.

Authors:  Ahmed Elolimy; Abdulrahman Alharthi; Mohamed Zeineldin; Claudia Parys; Juan J Loor
Journal:  J Anim Sci Biotechnol       Date:  2020-01-20

Review 6.  Insufficiency in functional genomics studies, data, and applications: A case study of bio-prospecting research in ruminant microbiome.

Authors:  Kgodiso J Rabapane; Grace N Ijoma; Tonderayi S Matambo
Journal:  Front Genet       Date:  2022-08-31       Impact factor: 4.772

  6 in total

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