Abstract
This study elucidated potential genetic variants and QTLs associated with clinical mastitis incidence traits in Bos indicus breed, Sahiwal. Estimated breeding values for the traits (calculated using Bayesian inference) were used as pseudo-phenotypes for association with genome-wide SNPs and further QTL regions underlying the traits were identified. In all, 25 SNPs were found to be associated with the traits at the genome-wide suggestive threshold (p ≤ 5 × 10−4) and these SNPs were used to define QTL boundaries based on the linkage disequilibrium structure. A total of 16 QTLs were associated with the trait EBVs including seven each for clinical mastitis incidence (CMI) in first and second lactations and two for CMI in third lactation. Nine out of sixteen QTLs overlapped with the already reported QTLs for mastitis traits, whereas seven were adjudged as novel ones. Important candidates for clinical mastitis in the identified QTL regions included DNAJB9, ELMO1, ARHGAP26, NR3C1, CACNB2, RAB4A, GRB2, NUP85, SUMO2, RBPJ, and RAB33B genes. These findings shed light on the genetic architecture of the disease in Bos indicus, and present potential regions for fine mapping and downstream analysis in future.
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Data availability
The phenotypic as well as genotypic data used in the present study are available with the https://doi.org/10.6084/m9.figshare.16570587 and would be made accessible based on individual requests to the corresponding author after due consideration.
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Acknowledgements
The authors are grateful to Director, National Dairy Research Institute (NDRI) for providing necessary support and staff of Livestock Health complex and Livestock Research Centre for facilitating sample collection and data recording. We are indebted to National Dairy Development Board (NDDB), Anand, Gujarat, for genotyping the samples free of cost, as a part of MoU between NDRI and NDDB. The first author is also thankful to Dr. S.K. Onteru for helping in the interpretation of results and Indian Council of Medical Research (ICMR) for providing Junior Research Fellowship (JRF).
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AK and SMD conceived and designed the study, AK and NN performed the statistical analysis, NN and SKN helped in laboratory work and genotyping of samples, VSR and VY facilitated data curation, and AK and SMD wrote the paper.
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Kour, A., Deb, S.M., Nayee, N. et al. Understanding the genomic architecture of clinical mastitis in Bos indicus. 3 Biotech 11, 466 (2021). https://doi.org/10.1007/s13205-021-03012-2
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DOI: https://doi.org/10.1007/s13205-021-03012-2