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Mapping Genomic Regions Affecting Sensitivity to Bovine Respiratory Disease on Chromosome X Using Selective DNA Pooling

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Journal Sci Rep
Date 2025 Feb 6
PMID 39915572
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Abstract

Bovine respiratory disease is a leading health problem in feedlot cattle. Identification of affecting genes is essential for selection for decrease sensitivity. Chromosome X is a special attractive target for gene mapping in light of reports on both sexual dimorphism in immunity and higher susceptibility of males to this disease. However, diagnosis is challenging and clinical signs often go undetected. Kosher scoring of lung adhesions was used as a cost-effective proxy diagnosis. Selective DNA pooling was applied for cost-effective mapping of regions associated with sensitivity to the disease on chromosome X in Israeli Holstein male calves. A total of 9 regions were found, more than twice of any of the autosomes. All regions overlapped or were very close to previously reported regions. Bioinformatics survey found candidate-by-location genes in these regions. Functional analyses identified candidates-by-function among these genes. Network analyses connected the genes and found possible relations of the genes and the networks with morbidity, and specifically with sensitivity to bovine respiratory disease. The relatively large number of affecting regions and the candidate genes on the sex chromosome may explain part of the higher susceptibility of males and provide genomic and management targets for mitigating this disease.

References
1.
Nunn C, Lindenfors P, Pursall E, Rolff J . On sexual dimorphism in immune function. Philos Trans R Soc Lond B Biol Sci. 2008; 364(1513):61-9. PMC: 2666693. DOI: 10.1098/rstb.2008.0148. View

2.
Cusack P, McMeniman N, Lean I . Feedlot entry characteristics and climate: their relationship with cattle growth rate, bovine respiratory disease and mortality. Aust Vet J. 2007; 85(8):311-6. DOI: 10.1111/j.1751-0813.2007.00184.x. View

3.
Duarte J, Quigley L, Young A, Hayashi M, Miyazawa M, Lopata A . Identification of Tumor Antigens in Ovarian Cancers Using Local and Circulating Tumor-Specific Antibodies. Int J Mol Sci. 2021; 22(20). PMC: 8538754. DOI: 10.3390/ijms222011220. View

4.
Keele J, Kuehn L, McDaneld T, Tait R, Jones S, Smith T . Genomewide association study of lung lesions in cattle using sample pooling. J Anim Sci. 2015; 93(3):956-64. DOI: 10.2527/jas.2014-8492. View

5.
Semple S, Cowlishaw G, Bennett P . Immune system evolution among anthropoid primates: parasites, injuries and predators. Proc Biol Sci. 2002; 269(1495):1031-7. PMC: 1690991. DOI: 10.1098/rspb.2001.1950. View