- Journal of Research in Veterinary Medicine
- Volume:42 Issue:1
- Characterization and Computational Investigation of Polymorphisms in the TIR Domain of the TLR4 Prot...
Characterization and Computational Investigation of Polymorphisms in the TIR Domain of the TLR4 Protein in Holsteins Raised in Turkey
Authors : Sertaç ATALAY
Pages : 37-43
Doi:10.30782/jrvm.1197130
View : 71 | Download : 81
Publication Date : 2023-07-01
Article Type : Research Paper
Abstract :Increasing environmental temperatures due to climate change adversely affect livestock welfare and health. Moreover, temperatures increase the distribution and survival of parasites and infectious agents. Livestock diseases that cause significant economic losses are a worldwide concern. Toll-like receptor 4 insert ignore into journalissuearticles values(TLR4); is an ideal marker gene candidate, due to its critical role it plays in initiating the immune response against pathogens. In this study, the toll-interleukin-1 receptor insert ignore into journalissuearticles values(TIR); domain polymorphisms were investigated in the Holsteins raised in Turkey. by DNA sequencing. The effects of polymorphisms on the protein structure and function were evaluated by computational tools insert ignore into journalissuearticles values(I-Mutant Suite, Project Hope and PyMOL);. The rs8193069 C>T polymorphism was detected in the TIR domain. The SNP causes Threonine to Isoleucine substitution at position 674 of the TLR4 protein which is the second amino acid of the TIR domain. The I-Mutant Suite predicted that Thr674Ile substitution could decrease protein stability insert ignore into journalissuearticles values(DDG= -0.40 Kcal/mol);. Project Hope results showed that mutant and wild-type amino acids have different properties and that this can disturb the TIR domain. The Thr674Ile polymorphism observed in the TIR domain of TLR4 protein in Holsteins raised in Turkey might affect the function of the TLR4 by causing physicochemical changes.Keywords : TLR4, TIR domain, polymorphism, in silico, cattle