1. bookVolumen 22 (2022): Edición 2 (April 2022)
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eISSN
2300-8733
Primera edición
25 Nov 2011
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4 veces al año
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access type Acceso abierto

Mining for the association of bovine mastitis linked genes to pathological signatures and pathways

Publicado en línea: 12 May 2022
Volumen & Edición: Volumen 22 (2022) - Edición 2 (April 2022)
Páginas: 583 - 591
Recibido: 05 Jan 2021
Aceptado: 15 Jun 2021
Detalles de la revista
License
Formato
Revista
eISSN
2300-8733
Primera edición
25 Nov 2011
Calendario de la edición
4 veces al año
Idiomas
Inglés
Abstract

Background: Bovine mastitis is a common infectious disease with a serious threat to the dairy industry and public health. Mastitis is a polygenetic trait under the control of many genes. In the current study, our research attempted to address the role of mastitis-associated genes in various signalings including parasitic, viral, cancer and fungal diseases by using online bioinformatics software. Methods: We selected mastitis-associated genes from already published data and using online bioinformatics tools including DAVID and String classified the pathological role of relevant genes. A Venn diagram was used to show the status of overlapping genes among different biological function processes. Result: This study revealed that the genes gathered in published resources of mastitis were significantly correlated with influenza A, chagas disease, leishmaniasis, toxoplasmosis, tuberculosis, cancer signaling, hepatitis B, type I & II diabetes mellitus and prion diseases biological pathways. Based on our findings, we concluded that mastitis-linked genes could be used as markers for many other diseases. Moreover, the bioinformatics tools applied in the current study might be helpful in screening the genes involved in one disease and their association with other diseases as well.

Keywords

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