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Identification of unique transcriptomic signatures through integrated multispecies comparative analysis and WGCNA in bovine oocyte development.


ABSTRACT:

Background

Cattle (Bos taurus) are a major large livestock, however, compared with other species, the transcriptional specificity of bovine oocyte development has not been emphasised.

Results

To reveal the unique transcriptional signatures of bovine oocyte development, we used integrated multispecies comparative analysis and weighted gene co-expression network analysis (WGCNA) to perform bioinformatic analysis of the germinal follicle (GV) and second meiosis (MII) gene expression profile from cattle, sheep, pigs and mice. We found that the expression levels of most genes were down-regulated from GV to MII in all species. Next, the multispecies comparative analysis showed more genes involved in the regulation of cAMP signalling during bovine oocyte development. Moreover, the green module identified by WGCNA was closely related to bovine oocyte development. Finally, integrated multispecies comparative analysis and WGCNA picked up 61 bovine-specific signature genes that participate in metabolic regulation and steroid hormone biosynthesis.

Conclusion

In a short, this study provides new insights into the regulation of cattle oocyte development from a cross-species comparison.

SUBMITTER: Zhang FL 

PROVIDER: S-EPMC10193610 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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Identification of unique transcriptomic signatures through integrated multispecies comparative analysis and WGCNA in bovine oocyte development.

Zhang Fa-Li FL   Li Wei-Dong WD   Zhang Geng G   Zhang Min M   Liu Zhao-Jun ZJ   Zhu Ke-Xin KX   Liu Qing-Chun QC   Zhang Shu-Er SE   Shen Wei W   Zhang Xi-Feng XF  

BMC genomics 20230518 1


<h4>Background</h4>Cattle (Bos taurus) are a major large livestock, however, compared with other species, the transcriptional specificity of bovine oocyte development has not been emphasised.<h4>Results</h4>To reveal the unique transcriptional signatures of bovine oocyte development, we used integrated multispecies comparative analysis and weighted gene co-expression network analysis (WGCNA) to perform bioinformatic analysis of the germinal follicle (GV) and second meiosis (MII) gene expression  ...[more]

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