Impact of deoxynivalenol on rumen function, production, and health of dairy cows: Insights from metabolomics and microbiota analysis.

Deoxynivalenol contamination in feed and food, pervasive from growth, storage, and processing, poses a significant risk to dairy cows, particularly when exposed to a high-starch diet; however, whether a high-starch diet exacerbates these negative effects remains unclear. Therefore, we investigated the combined impact of deoxynivalenol and dietary starch on the production performance, rumen function, and health of dairy cows using metabolomics and 16 S rRNA sequencing. Our findings suggested that both high- and low-starch diets contaminated with deoxynivalenol significantly reduced the concentration of propionate, isobutyrate, valerate, total volatile fatty acids (TVFA), and microbial crude protein (MCP) concentrations, accompanied by a noteworthy increase in NH3-N concentration in vitro and in vivo (P < 0.05). Deoxynivalenol altered the abundance of microbial communities in vivo, notably affecting Oscillospiraceae, Lachnospiraceae, Desulfovibrionaceae, and Selenomonadaceae. Additionally, it significantly downregulated lecithin, arachidonic acid, valine, leucine, isoleucine, arginine, and proline metabolism (P < 0.05). Furthermore, deoxynivalenol triggered oxidative stress, inflammation, and dysregulation in immune system linkage, ultimately compromising the overall health of dairy cows. Collectively, both high- and low-starch diets contaminated with deoxynivalenol could have detrimental effects on rumen function, posing a potential threat to production performance and the overall health of cows. Notably, the negative effects of deoxynivalenol are more pronounced with a high-starch diet than a low-starch diet.

Effects of Different Combinations of Sugar and Starch Concentrations on Ruminal Fermentation and Bacterial-Community Composition in vitro.

High levels of starch is known to have positive effects on both energy supply and milk yield but increases the risk of rumen acidosis. The use of sugar as a non-structural carbohydrate could circumvent this risk while maintaining the benefits, but its effects and that of the simultaneous use of both sugar and starch are not as well-understood. This study aimed to evaluate the effects of different combinations of sugar and starch concentrations on ruminal fermentation and bacterial community composition in vitro in a 4 ×4 factorial experiment. Sixteen dietary treatments were formulated with 4 levels of sugar (6, 8, 10, and 12% of dietary dry matter), and 4 levels of starch (21, 23, 25, and 27% of dietary dry matter). Samples were taken at 0.5, 1, 3, 6, 12, and 24 h after cultivation to determine the disappearance rate of dry matter, rumen fermentation parameters and bacterial community composition. Butyric acid, gas production, and Treponema abundance were significantly influenced by the sugar level. The pH, acetic acid, and propionic acid levels were significantly influenced by starch levels. However, the interactive effect of sugar and starch was only observed on the rate of dry matter disappearance. Furthermore, different combinations of starch and sugar had different effects on volatile fatty acid production rate, gas production rate, and dry matter disappearance rate. The production rate of rumen fermentation parameters in the high sugar group was higher. Additionally, increasing the sugar content in the diet did not change the main phylum composition in the rumen, but significantly increased the relative abundance of Bacteroidetes and Firmicutes phyla, while the relative abundance of Proteobacteria was reduced. At the genus level, the high glucose group showed significantly higher relative abundance of Treponema (P < 0.05) and significantly lower relative abundance of Ruminobacter, Ruminococcus, and Streptococcus (P < 0.05). In conclusion, different combinations of sugar and starch concentrations have inconsistent effects on rumen fermentation characteristics, suggesting that the starch in diets cannot be simply replaced with sugar; the combined effects of sugar and starch should be considered to improve the feed utilization rate.