Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2020
  • Volume: 80
  • Issue: 2

Computational analysis of SNPs and INDELs in cluster bean cultivars involved in multiple trait expression

  • Author:
  • Sarika Sahu4, Tanmaya Kumar Sahu1, Sabri Ghosal4, Kishor Gaikwad2, A. R. Rao3,
  • Total Page Count: 7
  • Page Number: 179 to 185

1ICAR-Indian Agricultural Research Institute, New Delhi, 110 012

2ICAR-National Institute of Plant Biotechnology, New Delhi, 110 012

3Present address: Indian Council of Agricultural Research, New Delhi, 110 001

4Amity University, Noida, Uttar Pradesh

ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110 012

*Corresponding author's e-mail: ar.rao@icar.gov.in

Online published on 28 October, 2020.

Abstract

SNPs (Single Nucleotide Polymorphisms) are extensively used in plant breeding programs because of their automation and high precision in allele calling. In the present study, transcriptomes of three cultivars of cluster bean (Cyamopsis tetragonoloba), namely, RGC-936, RGC1066 and M-18 were analysed for the identification of SNPs and Indels using the recently assembled draft genome made available by National Institute of Plant Biotechnology, New Delhi. Besides, a comparison among the identified SNPs and indels of three cultivars was made to mine out the cultivar specific SNPs and indels as well as common markers among the cultivars. In addition, an online database, cbSIR, was developed based on the markers populated from the said cultivars of cluster bean. The results reveal that highest number of SNPs (10279) were present in cultivar RGC-1066 followed by RGC-1066 (9714) and M-18 (7933). The detected SNPs were subjected to functional annotation. In a similar way, Indels were also identified and functionally annotated. Predictions were made based on the involvement of SNP/ Indel possessing genes in the expression of multiple traits such as gum production, auxin transport, disease resistance in the three cultivars of cluster bean.

Keywords

Single nucleotide polymorphism, Indels (Insertions/Deletions), Next generation sequencing, In silico analysis, Cluster bean