Metagenomic analysis reveals microbial drivers of heat resistance in dairy cattle

Heat stress poses a significant challenge to dairy cattle, leading to adverse physiological effects, reduced milk yield, impaired reproduction performance and economic losses. This study investigates the role of the rumen microbiome in mediating heat resistance in dairy cows. Using the entropy-weighted TOPSIS method, we classified 120 dairy cows into heat-resistant (HR) and heat-sensitive (HS) groups based on physiological and biochemical markers, including rectal temperature (RT), respiratory rate (RR), salivation index (SI) and serum levels of potassium ion (K<sup>+</sup>), heat shock protein 70 (HSP70) and cortisol. Metagenomic sequencing of rumen fluid samples revealed distinct microbial compositions and functional profiles between the two groups. HR cows exhibited a more cohesive and functionally stable microbiome, dominated by taxa such as Ruminococcus flavefaciens and Succiniclasticum, which are key players in fiber degradation and short-chain fatty acid production. Functional analysis highlighted the enrichment of the pentose phosphate pathway (PPP) in HR cows, suggesting a metabolic adaptation that enhances oxidative stress management. In contrast, HS cows showed increased activity in the tricarboxylic acid (TCA) cycle, pyruvate metabolism and other energy-intensive pathways, indicating a higher metabolic burden under heat stress. These findings underscore the critical role of the rumen microbiome in modulating heat resistance and suggest potential microbiome-based strategies for improving dairy cattle resilience to climate change.

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Publication Details

Journal
Animal Microbiome
Published
2025-04-09
DOI
https://doi.org/10.1186/s42523-025-00399-8
Citations
4
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
Field-Weighted Citation Impact
4.77

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article

Metagenomic analysis reveals microbial drivers of heat resistance in dairy cattle

Mingxun Li, Zhangping Yang, Yangyang Wang, Lei Zhang et al.
4 citations
Animal Microbiome
Effects of Environmental Stressors on Livestock
4.77
article

Metagenomic analysis reveals microbial drivers of heat resistance in dairy cattle

Mingxun Li, Zhangping Yang, Yangyang Wang, Lei Zhang, Haoran Jia, Peng Chen, Zheng Ma, Zhiwei Wang, Yongjiang Mao
article en
4 citations

Abstract

Heat stress poses a significant challenge to dairy cattle, leading to adverse physiological effects, reduced milk yield, impaired reproduction performance and economic losses. This study investigates the role of the rumen microbiome in mediating heat resistance in dairy cows. Using the entropy-weighted TOPSIS method, we classified 120 dairy cows into heat-resistant (HR) and heat-sensitive (HS) groups based on physiological and biochemical markers, including rectal temperature (RT), respiratory rate (RR), salivation index (SI) and serum levels of potassium ion (K<sup>+</sup>), heat shock protein 70 (HSP70) and cortisol. Metagenomic sequencing of rumen fluid samples revealed distinct microbial compositions and functional profiles between the two groups. HR cows exhibited a more cohesive and functionally stable microbiome, dominated by taxa such as Ruminococcus flavefaciens and Succiniclasticum, which are key players in fiber degradation and short-chain fatty acid production. Functional analysis highlighted the enrichment of the pentose phosphate pathway (PPP) in HR cows, suggesting a metabolic adaptation that enhances oxidative stress management. In contrast, HS cows showed increased activity in the tricarboxylic acid (TCA) cycle, pyruvate metabolism and other energy-intensive pathways, indicating a higher metabolic burden under heat stress. These findings underscore the critical role of the rumen microbiome in modulating heat resistance and suggest potential microbiome-based strategies for improving dairy cattle resilience to climate change.

Animal MicrobiomeVol. 7(1)
Yangzhou University (CN)
National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 6%
Effects of Environmental Stressors on Livestock
4.77
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