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Identification of Single Nucleotide Polymorphism from Indian Bubalus bubalis through Targeted Sequence Capture


Affiliations
1 BRD School of Biosciences, Sardar Patel University, V. V. Nagar 388 120, India
2 Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
3 Roche Diagnostics India Pvt Ltd, Kolkata 700 107, India
 

Bubalus bubalis (water buffalo) is an agro-economically important livestock species due to its multipurpose use in India and other Asian countries. The aim of this study was to identify single nucleotide polymorphisms (SNPs) from buffalo genome. Genomic DNA was isolated from 24 blood samples of three Indian buffalo breeds and subjected to targeted pyrosequencing, followed by variant calling and annotation. Target probes for enrichment were designed from exome and 5' and 3' untranslated regions of cattle genome. By targeted pyro-sequencing and variant calling from 3.92 Gb data, 923,964 high-quality SNPs were identified. Many SNPs were identified in regulatory regions, leading to conformational changes in factor-binding sites, which play a role in gene expression as in the case of LPL gene from low-milkproducing samples. Gene ontology (GO) enrichment and clustering, resulted in the enrichment of GO terms involved in milk production and transport, and fertility-related categories. Around 75% of SNPs were located on cattle quantitative trait loci, supporting trait-wise sample collection approach. Further, PCA analysis from the identified SNPs also supported sample selection strategy based on contrasting trait performance.

Keywords

Exome, Gene Ontology, Quantitative Trait Locus, Single Nucleotide Polymorphism.
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  • Identification of Single Nucleotide Polymorphism from Indian Bubalus bubalis through Targeted Sequence Capture

Abstract Views: 432  |  PDF Views: 138

Authors

A. B. Patel
BRD School of Biosciences, Sardar Patel University, V. V. Nagar 388 120, India
R. B. Subramanian
BRD School of Biosciences, Sardar Patel University, V. V. Nagar 388 120, India
H. Padh
BRD School of Biosciences, Sardar Patel University, V. V. Nagar 388 120, India
T. M. Shah
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
A. Mohapatra
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
B. Reddy
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
S. J. Jakhesara
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
P. G. Koringa
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India
D. Dash
Roche Diagnostics India Pvt Ltd, Kolkata 700 107, India
C. G. Joshi
Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand 388 001, India

Abstract


Bubalus bubalis (water buffalo) is an agro-economically important livestock species due to its multipurpose use in India and other Asian countries. The aim of this study was to identify single nucleotide polymorphisms (SNPs) from buffalo genome. Genomic DNA was isolated from 24 blood samples of three Indian buffalo breeds and subjected to targeted pyrosequencing, followed by variant calling and annotation. Target probes for enrichment were designed from exome and 5' and 3' untranslated regions of cattle genome. By targeted pyro-sequencing and variant calling from 3.92 Gb data, 923,964 high-quality SNPs were identified. Many SNPs were identified in regulatory regions, leading to conformational changes in factor-binding sites, which play a role in gene expression as in the case of LPL gene from low-milkproducing samples. Gene ontology (GO) enrichment and clustering, resulted in the enrichment of GO terms involved in milk production and transport, and fertility-related categories. Around 75% of SNPs were located on cattle quantitative trait loci, supporting trait-wise sample collection approach. Further, PCA analysis from the identified SNPs also supported sample selection strategy based on contrasting trait performance.

Keywords


Exome, Gene Ontology, Quantitative Trait Locus, Single Nucleotide Polymorphism.

References





DOI: https://doi.org/10.18520/cs%2Fv112%2Fi06%2F1230-1239