Dataset Information

Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages.

ABSTRACT: Heat stress is an important issue in dairy cattle feeding management affecting summer health and economic efficiency. This experiment combined 16S rDNA sequencing(3,864,982 tags, 30 sequencing data), metagenomic sequencing(1,269,441,128 reads, 18 sequencing data), metabolomics analysis(72 sequencing data) and blood index analysis. Ten cows in each animal type (growing heifers, heifers, and lactating cows) were selected for sample collection in April and August. Here, we characterized both the changes in metabolites, rumen microbial communities and their functional potential and the effects of heat stress on serum biochemical, immune, oxidative stress, and hormonal indices derived from rumen fluid and serum samples from cows during different growth stages and in different climates. The generated data expand the resources for the rumen microbiome related to heat stress and age and provide useful datasets for research on developing therapeutic strategies to achieve high summer milk production in cows. These datasets will help researchers study the effects of heat stress on the physiological metabolism of Holstein cows and the time-dependent changes associated with growth stages.

SUBMITTER: Feng L

PROVIDER: S-EPMC9588005 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages.

Feng Lei L Zhang Yu Y Liu Wei W Du Dewei D Jiang Wenbo W Wang Zihua Z Wang Zhonghua Z Hu Zhiyong Z

Scientific data 20221022 1

Heat stress is an important issue in dairy cattle feeding management affecting summer health and economic efficiency. This experiment combined 16S rDNA sequencing(3,864,982 tags, 30 sequencing data), metagenomic sequencing(1,269,441,128 reads, 18 sequencing data), metabolomics analysis(72 sequencing data) and blood index analysis. Ten cows in each animal type (growing heifers, heifers, and lactating cows) were selected for sample collection in April and August. Here, we characterized both the ch ...[more]

PMID: 36272971

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Project description:Korean peninsular weather is rapidly becoming subtropical due to global warming. In summer 2018, South Korea experienced the highest temperatures since the meteorological observations recorded in 1907. Heat stress has a negative effect on Holstein cows, the most popular breed of dairy cattle in South Korea, which is susceptible to heat. To examine physiological changes in dairy cows under heat stress conditions, we analyzed the profiles circulating microRNAs isolated from whole blood samples collected under heat stress and non-heat stress conditions using small RNA sequencing. We compared the expression profiles in lactating cows under heat stress and non-heat stress conditions to understand the regulation of biological processes in heat-stressed cows. Moreover, we measured several heat stress indicators, such as rectal temperature, milk yield, average daily gain, and progesterone concentration. All these assessments showed that pregnant cows were more susceptible to heat stress than non-pregnant cows. Particularly, progesterone concentrations known to have maternal warming effects were at similar levels in non-pregnant cows but significantly increased in pregnant cows under heat stress conditions. The differentially expressed miRNAs and their putative target genes were analyzed in pregnant cows. Interestingly, we found that differentially expressed miRNAs (bta-miR-146b, bta-miR-20b, bta-miR-29d-3p, bta-miR-1246) specifically targeted progesterone biosynthesis (StAR) and the function of corpus luteum-related genes (CCL11, XCL), suggesting that pregnant cows with elevated progesterone concentrations are more susceptible to heat stress. In addition, we found the differential expression of 11 miRNAs (bta-miR-19a, bta-miR-19b, bta-miR-30a-5p, and several from the bta-miR-2284 family) in both pregnant and non-pregnant cows under heat stress conditions. In target gene prediction and gene set enrichment analysis, these miRNAs were found to be associated with the cytoskeleton, cell junction, vasculogenesis, cell proliferation, ATP synthesis, oxidative stress, and immune responses involved in heat response. These miRNAs can be used as potential biomarkers for heat stress.

Project description:The rumen is a vital organ containing vast amounts of microbes that play a key role in the digestion of nutrients and affect the production performance of ruminants. However, few studies have focused on the characterization of the ruminal microbiota composition and function in cows with long-term difference milk protein concentrations, and the relationship between milk protein concentration and ruminal microbiota remains elusive. In this study, we collected the data of milk protein concentrations of 1,025 Holstein cows for 10 mo on a commercial farm. Based on the milk protein concentrations, 30 cows were selected and divided into three groups (n = 10 per group): low milk protein group (LMP, milk protein concentration < 3.1%), medium milk protein group (MMP, 3.1% ≤ milk protein concentration < 3.4%), and high milk protein group (HMP, milk protein concentration ≥ 3.4%). The ruminal microbiome, metabolome, VFA concentrations and proportions, and amino acid profiles of the three groups were analyzed. The data showed that free amino acid (FAA) levels were lower in the rumen and higher in the plasma of HMP cows (P < 0.05). In addition, lower NH3 concentrations were observed in the rumen, plasma, and milk of the HMP cows (P < 0.05). Protease activity and isobutyric acid molar proportion in the rumen were lower in the HMP group (P < 0.05). Microbiome analysis showed that HMP cows had lower microbial diversity (represented as Shannon and Simpson indices) than LMP cows. At the genus level, lower relative abundances of Prevotella_1 and Ruminococcaceae_UCG_005 were observed in the HMP group (P < 0.05). At the operational taxonomic unit (OTU) level, a lower relative abundance of OTU3 (Prevotella ruminicola) was observed in the HMP group (P < 0.05). We found that the relative abundances of ruminal Prevotella_1 and OTU3 (Prevotella ruminicola) were negatively correlated with milk protein concentration (P < 0.05). These findings suggested that the cows with long-term high milk protein concentrations had lower microbial diversity and weaker protein degradation ability in the rumen. Furthermore, our observations identified a correlation between the milk protein concentration and ruminal microbiota.

Project description:Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between -0.18 to -0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding.

Dataset Information

Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages.

Publications

Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages.

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