<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 &amp; 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.</p></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.

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

State Key Laboratory of Animal Nutrition, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology

Department of Reproduction and Artificial Insemination

Veterinary Faculty, Van Yuzuncu Yıl University

Department of Genetics, Faculty of Veterinary Medicine

Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture

Cholistan University of Veterinary and Animal Sciences Bahawalpur

Annals of Animal Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Pubblicato online: 12 mag 2022

Pagine: 583 - 591

Ricevuto: 05 gen 2021

Accettato: 15 giu 2021

DOI: https://doi.org/10.2478/aoas-2021-0049

Parole chiave
bovine mastitis, bioinformatics tools, biological signaling, genetic markers

© 2022 Muhammad Zahoor Khan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Pubblicato online: 12 mag 2022

Pagine: 583 - 591

Ricevuto: 05 gen 2021

Accettato: 15 giu 2021

DOI: https://doi.org/10.2478/aoas-2021-0049

Parole chiavebovine mastitis, bioinformatics tools, biological signaling, genetic markers

© 2022 Muhammad Zahoor Khan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
bovine mastitis, bioinformatics tools, biological signaling, genetic markers