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Published on: January 30, 2017
Four Target Resequencing for the Bovine Major Histocompatibility Complex Region. Proof of Concept
Guillermo Giovambattista1,2, Arisa Kawamura3, Akane Ishida3
1Laboratory of Global Infectious Diseases Control Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
This study developed a cost-effective hybridization capture target next-generation sequencing method for genotyping bovine leukocyte antigen (BoLA) genes. The approach successfully identified numerous SNPs, indels, and copy number variations, enabling accurate BoLA genotyping.
Area of Science:
- Veterinary Genetics
- Immunogenetics
- Next-Generation Sequencing
Background:
- Bovine leukocyte antigen (BoLA) genes are highly polymorphic and exhibit copy number variations (CNV), complicating genome-wide resequencing.
- Accurate genotyping of BoLA is crucial for cattle breeding and disease resistance studies.
Purpose of the Study:
- To develop and validate a hybridization capture target next-generation sequencing (NGS) method for efficient BoLA region resequencing.
- To assess the utility of this method for identifying single nucleotide polymorphisms (SNPs), indels, and CNVs in BoLA genes.
Main Methods:
- Design of custom probe sets for hybridization capture of BoLA DNA sequences.
- Construction of DNA libraries and enrichment using targeted capture sequencing.
- Genotyping of BoLA-DRB3 using both the developed NGS method and traditional PCR sequence-based typing (SBT).
- Analysis of SNPs, indels, and CNVs from sequencing data.
Main Results:
- The developed probe set (BoLA2) achieved high coverage (90.8%) and depth (108 reads) for BoLA resequencing.
- Identified 113,646 SNPs and 17,995 indels, with high concordance for BoLA-DRB3 genotyping compared to PCR-SBT.
- Enabled CNV analysis for multiple BoLA class I and II genes, facilitating haplotype definition.
Conclusions:
- Hybridization capture target NGS is a cost-effective and accurate strategy for high-throughput genotyping of the complex BoLA region.
- This method facilitates the study of genetic diversity, CNVs, and haplotypes in cattle.
- The approach is suitable for large-scale genetic research in bovine populations.
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