Transcriptome response of oocytes to seasonal heat stress in beef cows
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA984703 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24953473_1.fastq.gz | Fastqsanger.gz | |||
| SRR24953473_2.fastq.gz | Fastqsanger.gz | |||
| SRR24953474_1.fastq.gz | Fastqsanger.gz | |||
| SRR24953474_2.fastq.gz | Fastqsanger.gz | |||
| SRR24953475_1.fastq.gz | Fastqsanger.gz |
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Project description:Introduction: Reduced reproductive performance due to seasonal heat stress is a major problem in the beef and dairy industries. Examining the effects of heat stress on the molecular mechanism of bovine oocytes can help to better understand their alterations on a transcriptional level and to plan and mitigate those effects. We aimed to study the response of oocytes to seasonal thermal stress. Materials and Methods: Multiparous angus dry beef cows (n = 11) were kept together during the study and subjected to synchronisation and stimulation of follicular growth using a 5-day CIDR and follicle-stimulating hormone (FSH) protocol. Ovum pick-up (OPU) was conducted on all animals in the winter (January) and summer (August). Cumulus-oocyte-complexes (COCs) were isolated from the follicular fluid aspirated during the OPU procedure. Denuded oocytes were further isolated from the COCs, snap frozen, and stored at −80 °C until further use for library sequencing, RNA sequencing, bioinformatics and gene enrichment analysis. Additionally, rectal temperatures were recorded on the day of each OPU. Environmental data were collected daily three weeks before the day of each OPU using the Florida Automated Weather Network. Statistical analysis for average rectal temperature included overall mean (average rectal temperature), treatment effects (season), and the residual. Treatment effect was considered significant at P ≤ 0.05. Data are presented as mean ± standard error of the mean. RNA was extracted from five biological replicates/pools of oocytes (each containing n = 2) followed by library preparation and sequencing (NovaSeq; Illumina). Results: As expected, environmental conditions were contrasting [average air temperature (11.5 °C vs 27.5 °C), average max air temperature (16.9 °C vs 33.7 °C), relative humidity (83.5% vs 82.3%), and temperature-humidity index (53.39 vs 79.16) for winter and summer, respectively]. Average rectal temperature was greater (P = 0.03) in summer (39.2 ± 0.2 °C) than in the winter (38.8 ± 0.2 °C). Data analysis revealed an up-regulation of 446 transcripts and a down-regulation of 940 transcripts in oocytes collected during summer compared to winter (Fold Change ≥ 2; FDR P-value ≤ 0.05). Upregulated transcripts are involved in protein digestion and absorption, ATP-binding cassette transporter, oocyte meiosis, and progesterone-mediated oocyte maturation pathways. Conversely, down-regulated transcripts are involved in pathways related to extracellular matrix-receptor interaction, focal adhesion, and PI3K-Akt signaling. Conclusions: In conclusion, exposure of cows to thermal stress can significantly alter the transcriptome of oocytes, which may negatively impact subsequent developmental competence.
2024-10-23 | GSE235170 | GEO
Project description:Investigation of cellular responses to thermal heat stress can lead to identifying novel targets of intervention to tackle the increasing fertility decline due to climate change-associated seasonal heat stress. We aimed to study the response of granulosa cells to seasonal thermal stress. Dry beef cows (n=11) were kept together during the study and subjected to synchronization and stimulation for follicular dynamics. Ovum pick-up (OPU) was conducted on all animals in the winter and summer. Once OPU-fluid settled, cumulus-oocyte-complexes (COCs) and granulosa cells were isolated from the OPU fluid and stored in a -80 freezer after snap freezing. In addition, blood samples and rectal temperature data were collected on each OPU. Environmental data were collected daily for three weeks before each OPU using the Florida Automated Weather Network. Data were analyzed using SAS. Data are presented as mean ± standard error of the mean. RNA was extracted from five pools of granulosa cells followed by library preparation and sequencing (NovaSeq; Illumina). As expected, environmental conditions were contrasting: average air temperature (11.5°C vs. 27.5°C), average max air temperature (16.9°C vs. 33.7°C), relative humidity (83.5% vs. 82.3%), and temperature-humidity index (53.39 vs. 79.16) for winter and summer, respectively. The average rectal temperature was higher (P = 0.03) in summer (39.2 ± 0.2°C) than in winter (38.8 ± 0.2°C). Of the total differentially expressed genes, granulosa cells during summer showed up and downregulation of 1083 and 1126 transcripts, respectively compared to the winter season (Fold Change ≤ -2 or ≥ 2 and FDR p-value ≤ 0.05). Many of the downregulated transcripts were found to be involved in the inhibition of immunological pathways such as activation of lymphatic system cells and activation of lymphocytes. In conclusion, exposure of cows to thermal stress can induce significant alteration in the transcriptome of granulosa cells which may have a negative impact on follicular physiology.
2024-10-23 | GSE235171 | GEO
Project description:Transcriptome response of granulosa cells to seasonal heat stress in beef cows
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Project description:Elevated ambient temperature during the summer season is a main cause of stress in dairy and beef cows, leading to impaired reproductive function and fertility. Follicular fluid extracellular vesicles (FF-EVs) play an important role in intrafollicular cellular communication by in part mediating the deleterious effects of heat stress (HS). Here we aimed to investigate the changes in FF-EV miRNA cargoes in beef cows in response to HS during the summer (SUM) compared to the winter (WIN) season using high throughput sequencing of FF-EV-coupled miRNAs.
2023-05-23 | GSE221198 | GEO
Project description:Heat stress affects oocyte developmental competence and is a major cause of reduced fertility in heat stressed cattle. Negative effects of heat stress on the oocyte have been observed at morphological, biochemical and developmental levels. However, the mechanisms by which heat stress affects the oocyte at the transcriptional and epigenetic levels remain to be further elucidated. Here we aimed to investigate the effect of heat stress on oocyte quality, transcriptomic profiles and DNA methylation of oocytes collected through the transition from spring to summer under Louisiana conditions. Summer heat resulted in a lower number of high quality oocytes obtained compared to the spring season. There was no difference in maturation rates of oocytes collected during spring as compared to summer. RNA sequencing analysis showed that a total of 212 and 93 genes were differentially expressed as a result of heat stress at the GV and MII oocytes, respectively. Five common genes (E2F8, GATAD2B, BHLHE41, FBXO44, and RAB39B) were significantly affected by heat in both GV and MII oocytes. A number of pathways were also influenced by heat stress including glucocorticoid biosynthesis, apoptosis signaling, and HIPPO signaling in GV oocytes, and Oct4 pluripotency, Wnt/beta-catenin signaling, and melatonin degradation I in MII oocytes, respectively. In addition, fluorescent immunocytochemistry analysis showed no difference in global levels of DNA methylation and DNA hydroxymethylation at either the GV or MII stage between spring and summer oocytes. The results of this study contribute to a better understanding of the effect of heat stress on the molecular mechanisms altered in bovine oocytes.
2021-04-27 | GSE166413 | GEO
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2017-04-24 | GSE94777 | GEO
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Project description:Seasonal Heat Stress Effects on Transcriptomic Profiles and DNA Methylation of Bovine Oocytes
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Project description:Ovarian follicle extracellular vesicle-microRNAs mediated response of beef cows to environmental heat stress
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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.
2020-05-21 | GSE150912 | GEO