74
Views
0
CrossRef citations to date
0
Altmetric
Article

Diversity analysis of kinase like disease resistance gene analogues in sugarcane

, &
Pages 308-318 | Received 04 Aug 2020, Accepted 23 Sep 2020, Published online: 08 Oct 2020
 

Abstract

Red rot disease is a severe disease of sugarcane that affects the crop productivity in sugarcane growing countries. In this study, resistance gene analogues (RGAs) similar to kinase resistance protein isolated from sugarcane red rot resistant, moderately resistant and susceptible genotypes were compared with wall associated receptor like kinases of various plants. The non-RD serine/threonine kinase regions were noticed in all identified sugarcane RGAs. The amino acid identity percentage among resistant, moderately resistant and susceptible sugarcane RGAs was more than 90% which indicated that conserved kinase region is present in these RGAs. However, when compared with other monocots and dicots, the identified RGAs showed much diversity in kinase region. As the RGAs of sugarcane are of non-RD serine/threonine kinase that are typically associated with immune responses in plant, the findings may be extremely useful that can be used as RGAs based marker development for resistance breeding in sugarcane.

Acknowledgement

The authors are grateful to Dr. A. D. Pathak, Director ICAR-Indian Institute of Sugarcane Research (ICAR-IISR), Lucknow, India for providing necessary facilities and encouragement.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 471.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.