Extracting transcriptomic biomarker network in Staphylococcus aureus driven dairy cow’s mastitis using human genome

Document Type : Research Paper

Authors

1 Assistant Professor in Systems Biology, Department of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran

2 MSc. Student in Animal Breeding, Department of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran

3 Assistant Professor in Animal Physiology, Department of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran

Abstract

Mastitis, as one of the most economically important cost-driven diseases in dairy cow industry, is an inflammation-driven disease of the bovine mammary gland that in recent decades has casted lots of attention. Mastitis has low heritability; therefore, it is a cumbersome job to manage it from animal breeding point of view. Considering the management of mastitis in dairy farms production and the nature of complex molecular mechanisms involving in this disease, extracting mastitis's transcriptomic biomarkers network using OMICS data due to some well-annotated genomes like human genome, sounds to be entirely compelling. In this research, by fitting a linear model on each gene of a Staphylococcus aureus governed DNA microarray experiment performed in dairy cow udder, a list of differentially expressed genes or biomarkers were obtained. It was dissected that genes encoding cytokines and chemokine's e.g. CXCL5, CCL2 ,CXCL2, CXCL3, CXCL8 shown differentially expressed pattern in staphylococcus aureus driven dairy’s cow mastitis. Biomarker network due to human genome orthologous genes indicated that APP (amyloid beta precursor protein) gene or biomarker shown the maximum degree of connection with other biological transcriptomic biomarkers. The results of this study can be used in breeding programs and drug-targeting studies to cure mastitis.

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Main Subjects

References

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Animal Production Research
Volume 6, Issue 4
January 2018
Pages 1-12

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