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Journal Details
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Journal
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
access type Open Access

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

Journal Details
License
Format
Journal
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
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 classify 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

Cai, Z., Guldbrandtsen, B., Lund, M.S., Sahana, G. (2018). Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle. BMC Genomics. 19: 656.Search in Google Scholar

Chen, Z., Xu, X., Tan, T., Chen, D., Liang, H. (2019). MicroRNA-145 regulates immune cytokines via targeting FSCN1 in Staphylococcus aureus-induced mastitis in dairy cows. Reproduction in Domestic Animals. 54. 882–891.Search in Google Scholar

Fang, L., Hou, Y., An, J., Li, B., Song, M. (2016). Genome-wide transcriptional and post-transcriptional regulation of innate immune and defense responses of bovine mammary gland to Staphylococcus aureus. Frontiers in Cellular and Infectious Microbiology. 6: 193.Search in Google Scholar

FresnoVara, J.A., Casado, E., de Castro, J., Cejas, P., Belda-Iniesta, C., González-Barón, M. (2004). P13K/Akt signalling pathway and cancer. Cancer Treatment Reviews. 30: 193–204.Search in Google Scholar

Gomes, F., Henriques, M. (2016). Control of Bovine Mastitis: Old and Recent Therapeutic Approaches. Current Microbiology. 72: 377–382.Search in Google Scholar

Griesbeck-Zilch, B., Osman, M., Kühn, C., Schwerin, M., Bruckmaier, R.H., Pfaffl, M.W., Hammerle-Fickinger, A., Meyer, H.H., Wellnitz, O. (2009). Analysis of key molecules of the innate immune system in mammary epithelial cells isolated from marker-assisted and conventionally selected cattle. Journal of dairy science. 92:4621-33.Search in Google Scholar

Han, H. (2019). Identification of several key genes by microarray data analysis of bovine mammary gland epithelial cells challenged with Escherichia coli and Staphylococcus aureus. Gene. 683: 123–132.Search in Google Scholar

He, Y., Song, M., Zhang, Y., Li, X., Song, Z. (2016). Whole-genome regulation analysis of histone H3 lysin 27 trimethylation in subclinical mastitis cows infected by Staphylococcus aureus. BMC Genomics.17: 565Search in Google Scholar

Huang, D.W., Sherman, B.T., Lempicki, R. A. (2009). Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocol. 4: 44–57.Search in Google Scholar

Jensen, K., Günther, J., Talbot, R., Petzl, W., Zerbe, H. (2013). Escherichia coli- and Staphylococcus aureus-induced mastitis differentially modulate transcriptional responses in neighbouring uninfected bovine mammary gland quarters. BMC Genomics. 14: 36Search in Google Scholar

Karthikeyan, A., Radhika, G., Aravindhakshan, T.V., Anilkumar, K. (2016). Expression Profiling of Innate Immune Genes in Milk Somatic Cells During Subclinical Mastitis in Crossbred Dairy Cows. Animal Biotechnology. 27: 303–309.Search in Google Scholar

Khan, M.Z., Khan, A., Xiao, J., Ma, J., Ma, Y., Chen, T., Shao, D. and Cao, Z. (2020). Overview of Research Development on the Role of NF-κB Signaling in Mastitis. Animals. 10, 1625.Search in Google Scholar

Lee, D., Redfern, O., Orengo, C. (2007). Predicting protein function from sequence and structure. Nature Reviews Molecular Cell Biolog. 8: 995–1005.Search in Google Scholar

Lu, X., Yarbrough, W.G. (2015). Negative regulation of RelA phosphorylation: Emerging players and their roles in cancer. Cytokine Growth Factor Reviews. 26: 7–13.Search in Google Scholar

Lutzow, Y.C.S., Donaldson, L., Gray, C.P., Vuocolo, T., Pearson, R.D. (2008). Identification of immune genes and proteins involved in the response of bovine mammary tissue to Staphylococcus aureus infection. BMC Veterinary Research.4: 18Search in Google Scholar

Ogorevc, J., Kunej, T., Razpet, A., Dovc, P.(2009). Database of cattle candidate genes and genetic markers for milk production and mastitis. Animal Genetics. 40: 832–851.Search in Google Scholar

Scheffler, M., Bos, M., Gardizi, M., König, K., Michels, S. (2015). PIK3CA mutations in non-small cell lung cancer (NSCLC): Genetic heterogeneity, prognostic impact and incidence of prior malignancies. Oncotarget. 6: 1315–1326.Search in Google Scholar

Sharifi, S., Pakdel, A., Ebrahimi, M., Reecy, J.M., Fazeli Farsani, S. and Ebrahimie, E. (2018). Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle. PLoS One. 13:e0191227.Search in Google Scholar

Sharifi, S., Pakdel, A., Ebrahimie, E., Aryan, Y., Zefrehee, M.G. and Reecy, J.M. (2019). Prediction of key regulators and downstream targets of E. coli induced mastitis. Journal of applied genetics. 60:367-373.Search in Google Scholar

Song, M., He, Y., Zhou, H., Zhang, Y., Li, X. (2016). Combined analysis of DNA methylome and transcriptome reveal novel candidate genes with susceptibility to bovine Staphylococcus aureus subclinical mastitis. Scientific Reports. 6: 1-15.Search in Google Scholar

Sousa, S.A., Leitão, J.H., Martins, R.C., Sanches, J.M., Suri, J.S. (2016). Bioinformatics Applications in Life Sciences and Technologies. Biomed Research Internation. 1-2.Search in Google Scholar

Spaan, A.N., Surewaard, J., Nijland, R., vanStrijp., G. (2013). Neutrophils Versus Staphylococcus aureus : A Biological Tug of War. Annual Review of Microbiology. 67: 629–650.Search in Google Scholar

Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D. (2015). Protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Research. 43: D447–D452.Search in Google Scholar

Tao, W., Mallard, B. (2007). Differentially expressed genes associated with Staphylococcus aureus mastitis of Canadian Holstein cows. Veterinary Immunology and Immunopathology.120: 201–211.Search in Google Scholar

Thompson-Crispi, K., Atalla, H., Miglior, F., & Mallard, B. A. (2014). Bovine mastitis: frontiers in immunogenetics. Frontiers in Immunology. 5:493.Search in Google Scholar

Tolone, M., Larrondo, C., Yáñez, M., Newman, S., Sardina, T., Portolano, B. (2016). Assessment of genetic variation for pathogen-specific mastitis resistance in Valle del Belice dairy sheep. BMC Veterinary Research. 12:158.Search in Google Scholar

Wang, X., Ma, P., Liu, J., Zhang, Q., Zhang, Y. (2015).Genome-wide association study in Chinese Holstein cows reveal two candidate genes for somatic cell score as an indicator for mastitis susceptibility. BMC Genetics.16: 111.Search in Google Scholar

Wang, X.G., Huang, J.M., Feng, M.Y., Ju, ZH., Wang, C.F. (2014). Regulatory mutations in the A2M gene are involved in the mastitis susceptibility in dairy cows. Animal Genetics. 4: 28–37.Search in Google Scholar

Welderufael, B. G., Løvendahl, P., de Koning, D. J., Janss, L.L.G., Fikse., W.F. (2018). Genome-wide association study for susceptibility to and recoverability from mastitis in Danish Holstein cows.Frontiers in Genetics. 9: 141Search in Google Scholar

Wiggans, G.,R., Cole, J.,B., Hubbard, S.,M., Sonstegard, T.S. (2017). Genomic Selection in Dairy Cattle: The USDA Experience. Annual Review of Animal Bioscience. 5: 309–327.Search in Google Scholar

Wu, J., Li, L., Sun, Y., Huang, S., Tang, J. (2015). Altered molecular expression of the TLR4/NF-κB signaling pathway in mammary tissue of Chinese Holstein cattle with mastitis. PLoS One. 10: e0118458.Search in Google Scholar

Younis, S., Javed, Q., Blumenberg, M. (2016). Meta-analysis of transcriptional responses to mastitis-causing Escherichia coli. PLoS One. 11: e0148562.Search in Google Scholar

Yuan, Z., Li, J., Gao, X., Xu, S. (2013). SNPs identification and its correlation analysis with milk somatic cell score in bovine MBL1 gene. Molecular Biology Reports. 40: 7–12.Search in Google Scholar

Yuan, Z., Li, J., Zhang, L., Gao, X.H.J., Gao, H.J. (2012). Investigation on BRCA1 SNPs and its effects on mastitis in Chinese commercial cattle. Gene. 505: 190–194.Search in Google Scholar

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