Estimating Microbial Protein Synthesis in the Rumen—Can ‘Omics’ Methods Provide New Insights into a Long-Standing Question?

Author:

Lima Joana1,Ingabire Winfred1,Roehe Rainer2ORCID,Dewhurst Richard James1ORCID

Affiliation:

1. SRUC Dairy Research and Innovation Centre, Barony Campus, Dumfries DG1 3NE, UK

2. SRUC, West Mains Road, Edinburgh EH9 3JG, UK

Abstract

Rumen microbial protein synthesis (MPS) provides at least half of the amino acids for the synthesis of milk and meat protein in ruminants. As such, it is fundamental to global food protein security. Estimating microbial protein is central to diet formulation, maximising nitrogen (N)-use efficiency and reducing N losses to the environment. Whilst factors influencing MPS are well established in vitro, techniques for in vivo estimates, including older techniques with cannulated animals and the more recent technique based on urinary purine derivative (UPD) excretion, are subject to large experimental errors. Consequently, models of MPS used in protein rationing are imprecise, resulting in wasted feed protein and unnecessary N losses to the environment. Newer ‘omics’ techniques are used to characterise microbial communities, their genes and resultant proteins and metabolites. An analysis of microbial communities and genes has recently been used successfully to model complex rumen-related traits, including feed conversion efficiency and methane emissions. Since microbial proteins are more directly related to microbial genes, we expect a strong relationship between rumen metataxonomics/metagenomics and MPS. The main aims of this review are to gauge the understanding of factors affecting MPS, including the use of the UPD technique, and explore whether omics-focused studies could improve the predictability of MPS, with a focus on beef cattle.

Funder

Agriculture and Horticulture Development Board

Publisher

MDPI AG

Subject

General Veterinary

Reference94 articles.

1. United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision—Key Findings and Advance Tables, United Nations.

2. Food Security: The Challenge of Feeding 9 Billion People;Godfray;Science,2010

3. The Nutritive Value of Rumen Micro-Organisms in Ruminants. 1. Large-Scale Isolation and Chemical Composition of Rumen Micro-Organisms;Storm;Br. J. Nutr.,1983

4. Milk Production of Cows on Protein-Free Feed;Virtanen;Science,1966

5. Improving and Disaggregating N2O Emission Factors for Ruminant Excreta on Temperate Pasture Soils;Krol;Sci. Total Environ.,2016

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