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Comparative biochemistry and physiology. Part D, Genomics & proteomics2023; 49; 101179; doi: 10.1016/j.cbd.2023.101179

Comprehensive analysis of the whole-transcriptome landscape of the ovarian cortex from Mongolian horses that reproduce seasonally.

Abstract: The reproductive cycle of equines tends to be seasonal and is influenced by factors such as light and temperature. The process and methods of regulating the mare oestrous cycle in the anestrus period are still immature. The effects of noncoding RNAs and mRNAs on the oestrous cycle have aroused much interest, but corresponding analyses of seasonal mare ovaries have not been reported. Here, we report a whole transcriptome analysis of the Mongolian horse ovarian cortex collected in anestrus and diestrus periods. In total, 1081 mRNAs, 205 lncRNAs, 54 circRNAs, and 13 miRNAs were upregulated in winter anestrus ovarian cortex (WAO), and 1261 mRNAs, 90 lncRNAs, 29 circRNAs, and 40 miRNAs were upregulated in summer diestrus ovarian cortex (SDO). The GO and KEGG enrichment analysis of differentially expressed mRNAs and target genes of differentially expressed lncRNAs, circRNAs, and miRNAs revealed some key functions and pathways that may be related to follicle and oocyte development. We found that estrogen-related pathways were enriched in different RNAs. Our data were used to generate miRNA, circRNA, lncRNA, and mRNA databases from the Mongolian horse ovary and differential expression profiles between WAO and SDO; these results provide clues for exploring methods of estrus regulation in mares during the anestrus period.
Publication Date: 2023-12-15 PubMed ID: 38134534DOI: 10.1016/j.cbd.2023.101179Google Scholar: Lookup
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  • Journal Article

Summary

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The research article analyses the processes and factors influencing the seasonal reproductive cycle of Mongolian horses, focusing specifically on the effects of various types of RNAs. This comprehensive analysis enables a better understanding of estrus regulation methods, particularly during the anestrus period.

Understanding the Research Scope

  • The research primarily focuses on understanding the mare oestrus cycle during the anestrus period, a time when sexual activity is halted and ovulation does not occur.
  • The analysis revolves around evaluating the influence of multiple RNA types, including noncoding RNAs, mRNAs, lncRNAs, miRNAs, and circRNAs on the oestrous cycle.
  • This is one of the few researches that examine the seasonal ovary of mares, particularly Mongolian horses.

Research Method and Findings

  • A comprehensive transcriptome analysis was conducted on the ovarian cortex of the Mongolian horse during the anestrus (winter) and diestrus (summer) periods.
  • The research identified 1081 mRNAs, 205 lncRNAs, 54 circRNAs, and 13 miRNAs that were more prevalent in the winter anestrus ovarian cortex (WAO).
  • On the other hand, 1261 mRNAs, 90 lncRNAs, 29 circRNAs, and 40 miRNAs had higher concentrations in the summer diestrus ovarian cortex (SDO).
  • Differential expression profiles were created between the WAO and SDO periods, which suggest potential clues for developing methods of estrus regulation.

GO and KEGG Enrichment Analysis

  • Researchers performed a GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis to find potential functions and pathways related to follicle and oocyte development.
  • The key functions and pathways highlighted in the analysis suggest a direct correlation with the follicle and oocyte development.
  • Interestingly, estrogen-related pathways were found to be enriched among different RNAs, implying a significant role of estrogen in the estrus cycle of mares.

Contributions and Implications of the Study

  • The research made significant contributions by providing expansive miRNA, ncRNA, mRNA, and lncRNA databases from the Mongolian horse ovary.
  • The findings may prime further research and exploration into devising estrus regulation methods during the non-reproductive period in mares.

Cite This Article

APA
Shen Y, Ulaangerel T, Ren H, Liu Q, Davshilt T, Yi M, Dugarjaviin M, Bou G. (2023). Comprehensive analysis of the whole-transcriptome landscape of the ovarian cortex from Mongolian horses that reproduce seasonally. Comp Biochem Physiol Part D Genomics Proteomics, 49, 101179. https://doi.org/10.1016/j.cbd.2023.101179

Publication

ISSN: 1878-0407
NlmUniqueID: 101270611
Country: Netherlands
Language: English
Volume: 49
Pages: 101179

Researcher Affiliations

Shen, Yingchao
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Ulaangerel, Tseweendolmaa
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Ren, Hong
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Liu, Qi
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Davshilt, Toli
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Yi, Minna
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China.
Dugarjaviin, Manglai
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China. Electronic address: dmanglai@163.com.
Bou, Gerelchemg
  • Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot, China. Electronic address: gerelchimeg@imau.edu.cn.

MeSH Terms

  • Horses / genetics
  • Female
  • Animals
  • Ovary / metabolism
  • Transcriptome
  • RNA, Circular / genetics
  • RNA, Circular / metabolism
  • RNA, Long Noncoding / genetics
  • MicroRNAs / genetics
  • RNA, Messenger / genetics
  • Gene Regulatory Networks

Conflict of Interest Statement

Declaration of competing interest The authors declare no conflict of interest.