Host and rumen microbiome contributions to feed efficiency traits in Holstein cows.

Autor: Martinez Boggio G; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706. Electronic address: guillermo.martinezboggio@wisc.edu., Monteiro HF; Department of Population Health and Reproduction, University of California, Davis, Davis, CA 95616., Lima FS; Department of Population Health and Reproduction, University of California, Davis, Davis, CA 95616., Figueiredo CC; Department of Veterinary Clinical Sciences, Washington State University, Pullman, WA 99163., Bisinotto RS; Department of Large Animal Clinical Sciences, University of Florida, Gainesville, FL 32610., Santos JEP; Department of Animal Sciences, University of Florida, Gainesville, FL 32611., Mion B; Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G-2W1., Schenkel FS; Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G-2W1., Ribeiro ES; Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada N1G-2W1., Weigel KA; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706., Peñagaricano F; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
Jazyk: angličtina
Zdroj: Journal of dairy science [J Dairy Sci] 2024 May; Vol. 107 (5), pp. 3090-3103. Date of Electronic Publication: 2023 Dec 21.
DOI: 10.3168/jds.2023-23869
Abstrakt: It is now widely accepted that dairy cow performance is influenced by both the host genome and rumen microbiome composition. The contributions of the genome and the microbiome to the phenotypes of interest are quantified by heritability (h 2 ) and microbiability (m 2 ), respectively. However, if the genome and microbiome are included in the model, then the h 2 reflects only the contribution of the direct genetic effects quantified as direct heritability (h d 2 ), and the holobiont effect reflects the joint action of the genome and the microbiome, quantified as the holobiability (ho 2 ). The objectives of this study were to estimate h 2 , h d 2 ,m 2 , and ho 2 for dry matter intake, milk energy, and residual feed intake; and to evaluate the predictive ability of different models, including genome, microbiome, and their interaction. Data consisted of feed efficiency records, SNP genotype data, and 16S rRNA rumen microbial abundances from 448 mid-lactation Holstein cows from 2 research farms. Three kernel models were fit to each trait: one with only the genomic effect (model G), one with the genomic and microbiome effects (model GM), and one with the genomic, microbiome, and interaction effects (model GMO). The model GMO, or holobiont model, showed the best goodness-of-fit. The h d 2 estimates were always 10% to 15% lower than h 2 estimates for all traits, suggesting a mediated genetic effect through the rumen microbiome, and m 2 estimates were moderate for all traits, and up to 26% for milk energy. The ho 2 was greater than the sum of h d 2 and m 2 , suggesting that the genome-by-microbiome interaction had a sizable effect on feed efficiency. Kernel models fitting the rumen microbiome (i.e., models GM and GMO) showed larger predictive correlations and smaller prediction bias than the model G. These findings reveal a moderate contribution of the rumen microbiome to feed efficiency traits in lactating Holstein cows and strongly suggest that the rumen microbiome mediates part of the host genetic effect.
(The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)
Databáze: MEDLINE
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