Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2020
  • Volume: 80
  • Issue: 3

Differential expression profiling of defense related genes for Leaf Curl Virus (Chilcv) in resistant and susceptible genotypes of Chiili

  • Author:
  • Manisha Mangal, Arpita Srivastava, Shriram J. Mirajkar, Khushbu Singh, Vikas Solanki1, Bikash Mandal1, Pritam Kalia
  • Total Page Count: 10
  • Page Number: 308 to 317

1Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi110 012

Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012

*Corresponding author's e-mail: manishamangal@rediffmail.com

Online published on 28 October, 2020.

Abstract

The present investigation was undertaken to study the expression of eight defense related genes in leaf curl resistant line DLS-Sel-10 and susceptible line Phule Mukta after different days post inoculation (dpi) with viruliferous white flies to understand their role in resistance to chilli leaf curl virus (ChiLCV). The expression level of Ca PPO, Ca AsPer, Ca ATP/ADP and CaTopoII was observed to be higher in resistant genotype DLS-Sel-10 than the susceptible Phule Mukta at all the time points studied. Expression of CaNBS-LRR increased up to 12 dpi while that of Ca Thionin, and Ca SKP1 increased up to 24 dpi in the resistant line, thereafter it started declining. The CaSPI expression did not show any specific pattern in both the test plants. The heat map clustered all the genes under study into two major clusters based on their expression profiles, one comprising CaAsPer, Ca-Thionin, CaATP/ADP transporter, Ca PPO and Ca Topo II while other group comprised CaSKPI, Ca NBS and CaSPI. The challenge inoculation of the test genotypes also revealed that viral titre increased at a much slower rate in DLS-Sel-10 than Phule Mukta, suggesting thereby that DLS-Sel-10 is resisting the accumulation of ChiLCV and has a more active defense machinery than Phule Mukta.

Keywords

Chilli, ChiLCV, Defence genes, Expression profiling, Qpcr