Journal
ANIMAL MICROBIOME
Volume 4, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s42523-022-00170-3
Keywords
Dairy cattle; Metagenomics; Residual feed intake; Rumen microbiota
Categories
Funding
- National Natural Science Foundation of China [31872380]
- China Agricultural (Dairy) Research System (Beijing) [CARS-36]
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This study analysed the relationship between rumen microbiota and residual feed intake (RFI) in Holstein cows. The results showed that high RFI cows had higher relative abundances of butyrate producers and certain carbohydrate metabolic pathways. Quorum sensing and DNA replication pathways were also more abundant in high RFI cows. In addition, low RFI cows had lower abundances of methane-producing bacteria and methanogenesis functions. These findings provide a deeper understanding of the microbial ecology of dairy cows and suggest that modulating the rumen microbiome or microbial functions could improve feed efficiency.
Background Rumen microbial composition and functions have vital roles in feed digestion and fermentation and are linked to feed efficiency in cattle. This study selected Holstein cows, which are high in both milk protein content and milk yield, to analyse the relationship between the rumen microbiota and residual feed intake (RFI). Eighteen multiparous lactating cows were divided into low RFI (LRFI, high efficiency, n = 9) and high RFI (HRFI, low efficiency, n = 9) groups to investigate the differences in microbial composition and functions. Results The relative abundances of butyrate producers, including the Clostridium, Butyrivibrio, Eubacterium and Blautia genera, were higher in HRFI cows than in LRFI cows (P < 0.05). Four carbohydrate metabolic pathways (glycolysis/gluconeogenesis, pentose phosphate pathway, fructose and mannose metabolism, and butanoate metabolism) and one energy metabolism pathway (methane metabolism), were more abundant in HRFI animals (P < 0.05). Quorum sensing and DNA replication pathways were more abundant in HRFI cows. For CAZyme profiles, 14 out of 19 genes encoding carbohydrates-deconstructing enzymes were more abundant in HRFI cows (P < 0.05). Seven Lachnospiraceae species associated with carbohydrate metabolism and quorum sensing may contribute to the difference in feed efficiency. Moreover, the LRFI cows had lower abundances of Methanosphaera (P < 0.01), Methanobrevibacter ruminantium (P = 0.09) and methanogenesis functions (P = 0.04). Conclusions The rumen microbiota of low-efficiency cows has stronger abilities to degrade carbohydrates and produce methane, and quorum sensing pathways could also be associated with differences in feed efficiency. This study provides a deeper understanding of the microbial ecology of dairy cows with different feed efficiencies and highlights the possibility of modulating the rumen microbiome or microbial functions to improve the feed efficiency of dairy cows.
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