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Fit protein interaction network based on gene expression data for dairy cattle fertilit
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Seyyed Homayoun Farhangfar   , Mahdi Zeya * , Elham Behdani , Mohamadbagher Montazertorbati |
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Abstract: (846 Views) |
Introduction: Reproductive traits in the livestock industry are of significant importance, and this importance is continuously increasing over time. The significance lies in the direct impact these traits have on the profitability of livestock breeding units, garnering increasing attention day by day. Fertility rate is one of the crucial traits in the field of animal husbandry, reflecting an animal's ability to produce offspring and new generations. For livestock producers, fertility rate holds great importance as its improvement leads to enhanced production levels and efficiency in the breeding unit. In the field of bioinformatics, identifying genes within genomic sequences is of paramount importance. Genes serve as the fundamental units of heredity, encapsulating information about the structure and function of cells and organisms. This study aims to investigate the protein-protein interaction network influencing dairy cow fertility based on gene expression data.
Materials & Methods: To investigate the mechanisms of the effect of microRNAs on fertility, a gene region data mining approach was used to search for new genes and potential mechanisms related to the mentioned trait in cows. Genes related to fertility in cows were searched in the NCBI database, and then, the results were analyzed using GEO2R and the R software. Subsequently, the gene network was created using the String database. The DAVID database was also used to study the biological aspects of genes. Finally, the obtained relationships were visualized using the Cytoscape software.
Results: The findings of this research have shown that many genes including CDK1, PPP2R3C, NDC80, ENY2, WDR12, MRPL27, LAPTM5, C1QB, MCM5 and TPX2 are affected by different biological pathways in endometrial tissue. These effects can affect the fertility of animals in different ways and thus help to improve their production performance, and in other words, the studied genes are able to be regulated through biological pathways in the endometrial tissue of the uterine wall and, as a result, affect things like Affect animal fertility.
Conclusion: This study may allow livestock farmers to implement more optimal strategies to improve animal fertility. |
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| Keywords: Fertility in dairy cattle, Functional proteins, Gene expression, Gene network, Interaction network |
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Full-Text [PDF 1328 kb]
(320 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2025/09/20 | Accepted: 2025/09/20 | Published: 2025/12/2
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