Release 56
(Apr 24, 2025)

Reference # 22574787 Details:

Authors:Yoshida T, Furuta H, Kondo Y, Mukoyama H (Contact: yoshidat@nvlu.ac.jp)
Affiliation:School of Animal Science, Nippon Veterinary and Life Science University, Musashino, Tokyo.
Title:Association of BoLA-DRB3 alleles with mastitis resistance and susceptibility in Japanese Holstein cows.
Journal:Animal Science Journal, 2012, (5): 359-66 DOI: 10.1111/j.1740-0929.2011.00972.x
Abstract:

In this study, 714 cows from 26 dairy herds were reclassified as healthy or mastitic cows on the basis of long-term somatic cell count (SCC) in milk. Cows with more than three consecutive lactation records of SCC from the first or second to fifth lactation, were selected, and their BoLA-DRB3 (DRB3) alleles were identified using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Cows with an SCC of < 200 000 cells/mL in all monthly records were classified as healthy (n=91). Cows with an SCC of > 300 000 cells/mL in two consecutive tests or four non-consecutive tests or cows with an SCC of > 500 000 cells/mL in any one test during lactation, regardless of parity, were classified as mastitic (n=201). Mastitic cows (n=153) from another 40 herds were considered to be infected if bacteriological testing revealed mastitis pathogens in milk. Their DRB3 alleles were identified using PCR-sequence-based typing (PCR-SBT). The differences in DRB3 allelic frequencies between healthy cows and cows with various degrees of mastitis were re-investigated. Moreover, the associations of various amino acid motifs in DRB3 alleles with resistance or susceptibility to mastitis pathogens were re-examined. DRB3.2*8(DRB3*1201) and DRB3.2*16(DRB3*1501) alleles were found to be associated with susceptibility, while DRB3.2*22(DRB3*1101), DRB3.2*23(DRB3*2703), and DRB3.2*24(DRB3*0101) alleles were found to be associated with resistance.

Links:   PubMed | List Data  

 

 

© 2003-2025: USA · USDA · NRPSP8 · Program to Accelerate Animal Genomics Applications. Contact: Bioinformatics Team