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Molecular characterization of CRBR2 fragment of TLR4 gene in association with mastitis in Vrindavani cattle.

Authors :
Panigrahi, Manjit
Kumar, Harshit
Nayak, Sonali Sonejita
Rajawat, Divya
Parida, Subhashree
Bhushan, Bharat
Sharma, Arjava
Dutt, Triveni
Source :
Microbial Pathogenesis. Apr2022, Vol. 165, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

The bovine TLR4 gene is an interesting candidate marker for mastitis resistance, since it is involved in neutrophil migration to and from the mammary gland during mastitis. TLR4 detects pathogen ligands, such as the Escherichia coli lipopolysaccharide (LPS) endotoxin and facilitates innate and adaptive immune responses. In the current study, a total of 130 crossbred cows (74 mastitis tolerant and 56 with clinical mastitis) kept at the Cattle and Buffalo Farm, IVRI, Izatnagar, were selected to explore the polymorphism in the co-receptor binding region 2 (CRBR2) fragment of the TLR4 gene. PCR-SSCP and sequence analysis showed two genotypes of the TLR4 gene's CRBR2 fragment, AA and AB, which were polymorphic in both the afflicted and tolerant groups. Sequencing revealed eight single nucleotide polymorphisms (SNPs) in allele A and ten SNPs in allele B. This genotype had no significant effect on the incidence of clinical mastitis according to the logistic regression model. Our study found insufficient evidence linking SNP variants in the CRBR2 region of the TLR4 gene to mastitis susceptibility in crossbred cattle. • A total of 130 crossbred cows were selected to explore the polymorphism in the CRBR2 fragment of the TLR4 gene. • No link found between the genotypes in the CRBR2 region of the TLR4 gene and clinical mastitis in crossbred cattle. • Sequencing results revealed eight single nucleotide polymorphisms (SNPs) in allele A and ten SNPs in allele B. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08824010
Volume :
165
Database :
Academic Search Index
Journal :
Microbial Pathogenesis
Publication Type :
Academic Journal
Accession number :
156228367
Full Text :
https://doi.org/10.1016/j.micpath.2022.105483