ArticleScientific reports2025
Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Heat-stress-induced DNA methylation remodeling in cattle: a systematic evidence synthesis and meta-analytic feasibility assessment.Veterinary and animal science · 2026Review
- Transcriptomic analysis reveals physiological adaptations and immune system modulation in Romanian Holstein cattle during heat stress exposure.International journal of biometeorology · 2026Article
- Single-nucleus RNA sequencing reveals cell type-specific responses to heat stress in bovine mammary gland.Journal of animal science and biotechnology · 2026Article
- Consequences of Heat Stress on Physiology, Microbiome Dynamics, and Multi-Omics in Dairy Cows: More than Meets the Eye.Biology · 2026Review
- Metabolic and productive responses to heat stress in transition dairy cows: Interactions with calving stage, season, and farm management.International journal of biometeorology · 2026Article
- Mini review: Studying epigenomic alterations can shed light on coping and adaptive abilities during heat stress in monogastric livestock.Frontiers in genetics · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A heat stress (HS) cattle research design was implemented to study HS effects on the three different "omics features" methylations, gene expressions and metabolic pattern from a direct perspective in pregnant cows and from an indirect time-lagged intergenerational perspective in offspring (the respective F1 and as F1 offspring before calving). In this regard, a total number of 88 German Holstein dairy cows and their 93 female calves were blood sampled for DNA and RNA extraction and for metabolic phenotyping, and allocated to HS and respective control groups (the cows (dams) as well as their calves) according to a temperature-humidity threshold of 60. Separate principal component analyses for all "omics-tiers" revealed clear separations of HS from respective control groups, as well as dam-offspring separations according to gene expressions and metabolic pattern. The GO enrichment analyses based on the differentially expressed genes contributed to the detection of 10 significantly overrepresented biological processes in heat stressed dams, and of 95 overrepresented biological processes due to indirect maternal heat stress in calves. With regard to direct HS in dams and the first PCs of the different "omics" features, the correlation coefficient was 0.45 between methylation and gene expression data, 0.62 between expression and metabolites, and 0.38 between methylation and metabolite data. The separation of HS from the control group was very obvious when using the average and weighted average of the first and second components from the three multi-omics datasets. The present study provides extended insights into the complex genetic and physiological mechanisms of HS response in dam and calf groups from different generations, contributing to a deeper understanding of the interplay of prompt and time lagged HS effects between different omics-tiers.
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