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Review
. 2021 Feb:186:42-51.
doi: 10.1016/j.ymeth.2020.07.011. Epub 2020 Aug 3.

Rumen metaproteomics: Closer to linking rumen microbial function to animal productivity traits

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Free article
Review

Rumen metaproteomics: Closer to linking rumen microbial function to animal productivity traits

Thea Os Andersen et al. Methods. 2021 Feb.
Free article

Abstract

The rumen microbiome constitutes a dense and complex mixture of anaerobic bacteria, archaea, protozoa, virus and fungi. Collectively, rumen microbial populations interact closely in order to degrade and ferment complex plant material into nutrients for host metabolism, a process which also produces other by-products, such as methane gas. Our understanding of the rumen microbiome and its functions are of both scientific and industrial interest, as the metabolic functions are connected to animal health and nutrition, but at the same time contribute significantly to global greenhouse gas emissions. While many of the major microbial members of the rumen microbiome are acknowledged, advances in modern culture-independent meta-omic techniques, such as metaproteomics, enable deep exploration into active microbial populations involved in essential rumen metabolic functions. Meaningful and accurate metaproteomic analyses are highly dependent on representative samples, precise protein extraction and fractionation, as well as a comprehensive and high-quality protein sequence database that enables precise protein identification and quantification. This review focuses on the application of rumen metaproteomics, and its potential towards understanding the complex rumen microbiome and its metabolic functions. We present and discuss current methods in sample handling, protein extraction and data analysis for rumen metaproteomics, and finally emphasize the potential of (meta)genome-integrated metaproteomics for accurate reconstruction of active microbial populations in the rumen.

Keywords: Metagenome-assembled genomes; Metaproteomics; Methane; Microbial diversity; Rumen; Rumen microbiome.

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