Performance of Illumina® BovineHD BeadChip in genotyping Indian riverine buffalo breeds


Abstract views: 95 / PDF downloads: 133

Authors

  • HEENA SHAH National Dairy Development Board, Anand, Gujarat 388 001 India
  • A SUDHAKAR National Dairy Development Board, Anand, Gujarat 388 001 India
  • SANDEEP KUMAR DONTHULA National Dairy Development Board, Anand, Gujarat 388 001 India
  • HARDIK POOJARA National Dairy Development Board, Anand, Gujarat 388 001 India
  • SWAPNIL GAJJAR National Dairy Development Board, Anand, Gujarat 388 001 India
  • SUJIT SAHA National Dairy Development Board, Anand, Gujarat 388 001 India
  • NILESH NAYEE National Dairy Development Board, Anand, Gujarat 388 001 India

https://doi.org/10.56093/ijans.v92i10.121632

Keywords:

Buffalo, BovineHD, Genotyping, Polymorphic, SNP

Abstract

The current study tested the suitability of Illumina® BovineHD BeadChip in genotyping three riverine breeds of buffalo viz. Jaffarabadi, Murrah and Mehsana. Of the 777962 SNPs, 670955 SNPs were called in all animals and only 13150 SNPs were found to be polymorphic at a call rate of 90%, and had Minor Allele Frequency (MAF) greater than 0.05. The average Minor Allele Frequency (MAF) of polymorphic SNPs was 0.23 and average expected heterozygosity (HE) of 0.321. Principal Component Analysis (PCA) revealed 2 different clusters where Murrah and Mehsana breeds clustered together, while Jaffarabadi breed formed a distinct cluster. Result obtained in this study indicated that the SNPs available in Illumina BovineHD BeadChip may not be good enough for studying population structure and genetic analyses in Indian buffalo breeds. Hence it might be necessary to develop a custom SNP marker panel for Indian riverine buffaloes.

Downloads

Download data is not yet available.

References

Anonymous. 2019. 20th Livestock Census - All India Report. http://dahd.nic.in/about-us/divisions/statistics. Accessed on 05 June 2020.

Borquis R R A, Baldi F, de Camargo G M F, Cardoso D F, Santos D J A, Lugo N H, Sargolzaei M, Schenkel F S, Albuquerque L G and Tonhati H. 2014. Water buffalo genome characterization by the Illumina® BovineHD BeadChip. Genetics and Molecular Research 13(2): 4202–15. DOI: https://doi.org/10.4238/2014.June.9.6

Colli L, Milanesi M, Vajana E, Iamartino D, Bomba L, Puglisi F, Del Corvo M, Nicolazzi E L, Ahmed S S E, Herrera J R V, Cruz L, Zhang S, Liang A, Hua G, Yang L, Hao X, Zuo F, Lai S J, Wang S, Liu R, Gong Y, Mokhber M, Mao Y, Guan F, Vlaic A, Vlaic B, Ramunno L, Cosenza G, Ahmad A, Soysal I, Unal E O, Ketudat-Cairns M, Garcia J F, Utsunomiya Y T, Baruselli P S, Amaral M E J, Parnpai R, Drummond M G, Galbusera P, Burton J, Hoal E, Yusnizar Y, Sumantri C, Moioli B, Valentini A, Stella A, Williams J L and Ajmone-Marsan P. 2018. New insights on water buffalo genomic diversity and post-domestication migration routes from medium density SNP chip data. Frontiers in Genetics 9: 53. DOI: https://doi.org/10.3389/fgene.2018.00053

Iamartino D, Nicolazzi E L, Van Tassell C P, Reecy J M, Fritz-Waters E R, Koltes J E, Biffani S, Sonstegard T S, Schroeder S G, Ajmone-Marsan P, Negrini R, Pasquariello R, Ramelli P, Coletta A, Garcia J F, Ali A, Ramunno L, Cosenza G, de Oliveira D A A, Drummond M G, Bastianetto E, Davassi A, Pirani A, Brew F and Williams J L. 2017. Design and validation of a 90K SNP genotyping assay for the water buffalo Bubalus bubalis. PLoS ONE 12(10): e0185220. DOI: https://doi.org/10.1371/journal.pone.0185220

de Camargo G M, Aspilcueta-Borquis R R, Fortes M R, Porto- Neto R, Cardoso D F, Santos D J, Lehnert S A, Reverter A, Moore S S and Tonhati H. 2015. Prospecting major genes in dairy buffaloes. BMC Genomics 16: 872. doi: 10.1186/ s12864-015-1986-2. DOI: https://doi.org/10.1186/s12864-015-1986-2

Soetaert K. 2019. plot3D: Plotting Multi-Dimensional Data. R package version 1.3. https://CRAN.R-project.org/ package=plot3D.

Perez-Pardal L, Chen S, Costa V, Liu X, Carvalheira J and Beja- Pereira A. 2018. Genomic differentiation between swamp and river buffalo using a cattle high-density single nucleotide polymorphisms panel. Animal 12(3): 464–71. DOI: https://doi.org/10.1017/S1751731117001719

Mokhber M, Shahrbabak M M, Sadeghi M, Shahrbabak H M, Stella A, Nicolazzi E and Williams J L. 2019. Study of whole genome linkage disequilibrium patterns of Iranian water buffalo breeds using the Axiom Buffalo Genotyping 90K Array. PLoS ONE 14(5): e0217687. DOI: https://doi.org/10.1371/journal.pone.0217687

Michelizzi V N, Wu X, Dodson M V, Michal J J, Zambrano-Varon J, McLean D J and Jiang Z. 2011. A global view of 54,001 single nucleotide polymorphisms SNPs on the Illumina® Bovine SNP50 BeadChip and their transferability to water buffalo. International Journal of Biological Sciences 7: 18–27. DOI: https://doi.org/10.7150/ijbs.7.18

Nilesh N, Sahana G, Gajjar S, Sudhakar A, Trivedi K, Lund M S and Guldbrandtsen B. 2018. Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses. Journal of Animal Breeding and Genetics 135(6): 432–41. DOI: https://doi.org/10.1111/jbg.12356

Thakor P B, Hinsu A T, Bhatia D R, Shah T M, Nilesh N, Sudhakar A, Rank D N and Joshi C. 2021. High-throughput genotype-based population structure analysis of selected buffalo breeds. Translational Animal Science 5(2). DOI: https://doi.org/10.1093/tas/txab033

Vijh R K, Tantia M S, Mishra B and Bharani Kumar S T. 2008. Genetic relationship and diversity analysis of Indian water buffalo Bubalus bubalis. Indian Journal of Animal Sciences 86: 1495–1502. DOI: https://doi.org/10.2527/jas.2007-0321

Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M A R, Bender D, Maller J, Sklar P, de Bakker P I W, Daly M J and Sham P C. 2007. PLINK: a toolset for whole-genome association and population-based linkage analysis. American Journal of Human Genetics 81: 559–75. DOI: https://doi.org/10.1086/519795

Sudhakar A, Khade A, Nayee N, Chandrasekhar R V and Maurya B. 2021. Novel mutation in UMPS gene leads to false positive result of DUMPS genetic disorder in buffaloes: need for gene sequencing before confirming results of RFLP in new species. Journal of Genetics 100: 55. DOI: https://doi.org/10.1007/s12041-021-01305-2

Venturini G C, Cardoso D F, Baldi F, Freitas A C, Aspilcueta- Borquis R R, Santos D J, Camargo G M, Stafuzza N B, Albuquerque L G and Tonhati H. 2014. Association between single-nucleotide polymorphisms and milk production traits in buffalo. Genetics and Molecular Research 13(4): 10256– 68. DOI: https://doi.org/10.4238/2014.December.4.20

Downloads

Submitted

2022-07-17

Published

2022-10-11

Issue

Section

Short-Communication

How to Cite

SHAH, H., SUDHAKAR, A., DONTHULA, S. K., POOJARA, H., GAJJAR, S., SAHA, S., & NAYEE, N. (2022). Performance of Illumina® BovineHD BeadChip in genotyping Indian riverine buffalo breeds. The Indian Journal of Animal Sciences, 92(10), 1179–1181. https://doi.org/10.56093/ijans.v92i10.121632
Citation