Deciphering Pleiotropic Single‐Nucleotide Polymorphisms Governing Fertility–Milk Yield Trade‐Offs in Dairy Cattle: A Genome‐Wide Chromosomal Landscape Analysis

Fertility and milk production in dairy cattle are economically significant traits, but they exhibit an unfavorable genetic correlation, making simultaneous improvement challenging. Identifying pleiotropic genes that influence both traits can provide valuable insights for genomic selection. This study aimed to identify common significant SNPs (CSSNPs) associated with both fertility and milk production traits and map these SNPs to pleiotropic genes, highlighting genomic regions with potential for simultaneous improvement of these traits. Significant SNPs for fertility (6336 SNPs) and milk production (6353 SNPs) were analyzed to identify 196 CSSNPs. These SNPs were mapped to 160 pleiotropic genes, and their distribution across cattle chromosomes (BTAs) was examined, focusing on key genomic regions. The highest number of CSSNPs (35) and pleiotropic genes (24) was identified on BTA6, while BTA14 harbored 21 pleiotropic genes. Several chromosomes, including BTA24 and BTA29, had no pleiotropic genes. In chromosome X, 4 CSSNPs and 3 pleiotropic genes were identified. This study identified critical genomic regions and pleiotropic genes associated with both fertility and milk production, providing insights into the genetic architecture of these traits. The findings highlight specific regions, particularly BTA6 and BTA14, which are promising targets for genomic selection. These results can inform breeding programs by enabling the development of strategies to simultaneously improve fertility and milk production in dairy cattle, optimizing productivity and sustainability.

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Publication Details

Journal
International Journal of Genomics
Published
2026-01-01
DOI
https://doi.org/10.1155/ijog/5167047
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Deciphering Pleiotropic Single‐Nucleotide Polymorphisms Governing Fertility–Milk Yield Trade‐Offs in Dairy Cattle: A Genome‐Wide Chromosomal Landscape Analysis

Majid Khaldari, Heydar Ghiasi, Reza Taherkhani, Navid Ghavi Hossein-Zadeh
International Journal of Genomics
Genetic and phenotypic traits in livestock
article

Deciphering Pleiotropic Single‐Nucleotide Polymorphisms Governing Fertility–Milk Yield Trade‐Offs in Dairy Cattle: A Genome‐Wide Chromosomal Landscape Analysis

Majid Khaldari, Heydar Ghiasi, Reza Taherkhani, Navid Ghavi Hossein-Zadeh
article en

Abstract

Fertility and milk production in dairy cattle are economically significant traits, but they exhibit an unfavorable genetic correlation, making simultaneous improvement challenging. Identifying pleiotropic genes that influence both traits can provide valuable insights for genomic selection. This study aimed to identify common significant SNPs (CSSNPs) associated with both fertility and milk production traits and map these SNPs to pleiotropic genes, highlighting genomic regions with potential for simultaneous improvement of these traits. Significant SNPs for fertility (6336 SNPs) and milk production (6353 SNPs) were analyzed to identify 196 CSSNPs. These SNPs were mapped to 160 pleiotropic genes, and their distribution across cattle chromosomes (BTAs) was examined, focusing on key genomic regions. The highest number of CSSNPs (35) and pleiotropic genes (24) was identified on BTA6, while BTA14 harbored 21 pleiotropic genes. Several chromosomes, including BTA24 and BTA29, had no pleiotropic genes. In chromosome X, 4 CSSNPs and 3 pleiotropic genes were identified. This study identified critical genomic regions and pleiotropic genes associated with both fertility and milk production, providing insights into the genetic architecture of these traits. The findings highlight specific regions, particularly BTA6 and BTA14, which are promising targets for genomic selection. These results can inform breeding programs by enabling the development of strategies to simultaneously improve fertility and milk production in dairy cattle, optimizing productivity and sustainability.

International Journal of GenomicsVol. 2026(1)
Lorestan University (IR), Payame Noor University (IR), University of Guilan (IR)
Responsible consumption and production
Openalex Percentile: Top 12%
Genetic and phenotypic traits in livestock
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Deciphering Pleiotropic Single‐Nucleotide Polymorphisms Governing Fertility–Milk Yield Trade‐Offs in Dairy Cattle: A Genome‐Wide Chromosomal Landscape Analysis — Majid Khaldari, Heydar Ghiasi, et al. · International Journal of Genomics (2026) | TGRS Research Map | TGRS