Evaluation of Seasonal Heat Stress on Transcriptomic Profiles and Global DNA Methylation of Bovine Oocytes

Diaz, F. A.; Gutierrez-Castillo, Emilio; Foster, B. A.; Hardin, P. T.; Bondioli, K. R.; Jiang, Zongliang

doi:10.3389/fgene.2021.699920

Cited by 20 publications

(11 citation statements)

References 29 publications

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“…Sigdel et al ( 2019 ) reported HSF1, MAPK8IP1 , and CDKN1B as genes responsible for thermotolerance in dairy cattle. Moreover, Diaz et al ( 2021 ) identified five genes: E2F8, GATAD2B, BHLHE41, FBXO44 , and RAB39B which were significantly associated with HS. In this study, it was found that the gene RAB39B was significantly associated with three phenotypes which included rectal temperature, drooling, and respiratory scores.…”

Section: Resultsmentioning

confidence: 99%

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Czech

Wang

et al. 2022

Front. Microbiol.

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Climate change affects animal physiology. In particular, rising ambient temperatures reduce animal vitality due to heat stress and this can be observed at various levels which included genome, transcriptome, and microbiome. In a previous study, microbiota highly associated with changes in cattle physiology, which included rectal temperature, drooling score and respiratory score, were identified under heat stress conditions. In the present study, genes differentially expressed between individuals were selected representing different additive genetic effects toward the heat stress response in cattle in their production condition. Moreover, a correlation network analysis was performed to identify interactions between the transcriptome and microbiome for 71 Chinese Holstein cows sequenced for mRNA from blood samples and for 16S rRNA genes from fecal samples. Bioinformatics analysis was performed comprising: i) clustering and classification of 16S rRNA sequence reads, ii) mapping cows' transcripts to the reference genome and their expression quantification, and iii) statistical analysis of both data types—including differential gene expression analysis and gene set enrichment analysis. A weighted co-expression network analysis was carried out to assess changes in the association between gene expression and microbiota abundance as well as to find hub genes/microbiota responsible for the regulation of gene expression under heat stress. Results showed 1,851 differentially expressed genes were found that were shared by three heat stress phenotypes. These genes were predominantly associated with the cytokine-cytokine receptor interaction pathway. The interaction analysis revealed three modules of genes and microbiota associated with rectal temperature with which two hubs of those modules were bacterial species, demonstrating the importance of the microbiome in the regulation of gene expression during heat stress. Genes and microbiota from the significant modules can be used as biomarkers of heat stress in cattle.

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Section: Resultsmentioning

confidence: 99%

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Czech

Wang

et al. 2022

Front. Microbiol.

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show abstract

“…Sigdel (Sigdel et al, 2019) reported HSF1, MAPK8IP1 , and CDKN1B as genes responsible for thermotolerance in dairy cattle. Moreover, Diaz (Diaz et al, 2021) identified five genes: E2F8, GATAD2B, BHLHE41, FBXO44 , and RAB39B which were significantly associated with HS. In this study, it was found that the gene RAB39B was significantly associated with three phenotypes which included rectal temperature, drooling, and respiratory scores.…”

Section: Resultsmentioning

confidence: 99%

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Czech

Wang

et al. 2022

Preprint

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Climate changes affect animal physiology. In particular, rising ambient temperatures reduce animal vitality due to heat stress and this can be observed at various levels which included genome, transcriptome, and microbiome. In a previous study, microbiota highly associated with changes in cattle physiology were identified under heat stress conditions which included rectal temperature, drooling score, and respiratory score. In the present study, genes differentially expressed between individuals were selected representing different additive genetic effects towards the heat stress response in cattle in their production condition. Moreover, a correlation network analysis was performed to identify interactions between the transcriptome and microbiome for 71 Chinese Holstein cows sequenced for mRNA from blood samples and for 16S rRNA genes from fecal samples. Bioinformatics analysis was performed comprising: i) clustering and classification of 16S rRNA sequence reads, ii) mapping cows' transcripts to the reference genome and their expression quantification, and iii) statistical analysis of both data types - including differential gene expression analysis and gene set enrichment analysis. A weighted co-expression network analysis was carried out to assess changes in the association between gene expression and microbiota abundance as well as to find hub genes/microbiota responsible for the regulation of gene expression under heat stress. Results showed 1,851 differentially expressed genes were found that were shared by three heat stress phenotypes. These genes were predominantly associated with the cytokine-cytokine receptor interaction pathway. The interaction analysis revealed three modules of genes and microbiota associated with rectal temperature with which two hubs of those modules were bacterial species, demonstrating the importance of the microbiome in the regulation of gene expression during heat stress. Genes and microbiota from the significant modules can be used as biomarkers of heat stress in cattle.

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“…Embryos used for in vitro fertilization with oocytes obtained from sexually immature heifers show lower cleavage and blastocyst rates compared with those obtained from mature cows (Presicce et al, 1997;Rizos et al, 2005). Moreover, the quality of oocytes deteriorates in the summer (Baruselli et al, 2020;Diaz et al, 2021). Therefore, the combination of sperm sex sorting, female immaturity, and heat stress might interdependently decrease the conception rates of nulliparous cows using sexed semen in warmer months, suggesting that insemination using sexed semen in nulliparous cows should be avoided in warmer months.…”

Section: Discussionmentioning

confidence: 99%

Environmental factors affecting the conception rates of nulliparous and primiparous dairy cattle

Ukita

Yamazaki

Yamaguchi

et al. 2022

Journal of Dairy Science

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Dairy cattle must allocate energy to milk production and reproduction. Therefore, understanding the environmental factors that affect conception rates in nulliparous and primiparous cows is helpful in appropriate feeding management strategies before and after calving. Accordingly, the aim of this study was to investigate the influence of environmental factors before and after the first calving on the conception rate, representing the starting point of milk production. The records of the first artificial insemination (AI) from Holstein nulliparous cows (n = 533,672) and primiparous cows (n = 516,710) in Hokkaido, Japan, were analyzed using separate multivariable logistic regression models. The mean conception rates for nulliparous and primiparous cows from 2012 to 2018 were 55.2 and 39.2%, respectively. In both nulliparous and primiparous cows, the conception rate of crossbreeding using Japanese Black (JB) semen was significantly higher than that for purebred Holstein breeding. The conception rate using sexed semen decreased in the warmer months only in nulliparous cows. Moreover, we grouped primiparous cows according to milk yield during peak lactation (PY; < 25,(25)(26)(27)(28)(29)(30)(30)(31)(32)(33)(34)(35) ≥35 kg) and the interval from calving to first insemination (CFI; < 60, 60-79, 80-99, ≥100 d), and evaluated their combined effect on the conception rate. Both PY and CFI strongly affected the conception rate in primiparous cows, which decreased with an increase in PY, even for the group with CFI ≥100 d; however, the conception rate increased for a CFI ≥60 d regardless of PY. Taken together, this study demonstrates the long-term effect of PY and an independent effect of CFI on the conception rate of cows. These results provide guidance for management to execute appropriate AI implementation strategies before and after lactation.

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Evaluation of Seasonal Heat Stress on Transcriptomic Profiles and Global DNA Methylation of Bovine Oocytes

Cited by 20 publications

References 29 publications

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

Environmental factors affecting the conception rates of nulliparous and primiparous dairy cattle

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