期刊
BMC VETERINARY RESEARCH
卷 18, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s12917-022-03500-4
关键词
Dairy cow; Hyperketonemia; Metagenomics; Gut microbiome; 16S rRNA sequencing
资金
- USDA National Institute of Food and Agriculture and Hatch Appropriations [PEN04752, 1023328]
This study investigated the correlation between the gut microbiome and the development of hyperketonemia in early lactation dairy cows, as well as identified potential microbial features related to health status. The results revealed no differences in the fecal microbiomes among health groups, while significant differences were observed in the rumen microbiomes between CON and HYK cows. Interestingly, highly similar microbiome composition was found in the rumen and fecal samples of C-HYK cows, suggesting that these initially healthy cows showed similar microbial composition after the onset of hyperketonemia. It was concluded that hyperketonemia may not be greatly influenced by gut microbial composition, and further studies are needed to explore the exact mechanisms involved.
Background Many dairy cows experience a state of energy deficit as they transition from late gestation to early lactation. The aims of this study were to 1) determine if the development of hyperketonemia in early lactation dairy cows is indicated by their gut microbiome, and 2) to identify microbial features which may inform health status. We conducted a prospective nested case-control study in which cows were enrolled 14 to 7 days before calving and followed through their first 14 days in milk (DIM). Hyperketonemic cows (HYK, n = 10) were classified based on a blood beta-hydroxybutyrate (BHB) concentration 1.2 mmol/L within their first 14 DIM. For each HYK cow, two non-HYK (CON, n = 20) cows were matched by parity and 3 DIM, with BHB < 1.2 mmol/L. Daily blood BHB measures were used to confirm CON cows maintained their healthy status; some CON cows displayed BHB 1.2 mmol/L after matching and these cows were reclassified as control-HYK (C-HYK, n = 9). Rumen and fecal samples were collected on the day of diagnosis or matching and subjected to 16S rRNA profiling. Results No differences in taxa abundance, or alpha and beta diversity, were observed among CON, C-HYK, and HYK health groups for fecal microbiomes. Similar microbiome composition based on beta diversity analysis was detected for all health statuses, however the rumen microbiome of CON and HYK cows were found to be significantly different. Interestingly, highly similar microbiome composition was observed among C-HYK cow rumen and fecal microbiomes, suggesting that these individual animals which initially appear healthy with late onset of hyperketonemia were highly similar to each other. These C-HYK cows had significantly lower abundance of Ruminococcus 2 in their rumen microbiome compared to CON and HYK groups. Multinomial regressions used to compute log-fold changes in microbial abundance relative to health status were not found to have predictive value, therefore were not useful to identify the role of certain microbial features in predicting health status. Conclusions Lower relative abundance of Ruminococcus 2 in C-HYK cow rumens was observed, suggesting these cows may be less efficient at degrading cellulose although the mechanistic role of Ruminococcus spp. in rumen metabolism is not completely understood. Substantial differences in fecal or rumen microbiomes among cows experiencing different levels of energy deficit were not observed, suggesting that hyperketonemia may not be greatly influenced by gut microbial composition, and vice versa. Further studies using higher resolution -omics approaches like meta-transcriptomics or meta-proteomics are needed to decipher the exact mechanisms at play.
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