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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Identification and functional characterisation of late blight resistance polymorphic genes in Russet Burbank potato cultivar

Niranjan Hegde A , Dadakhalandar Doddamani B and Ajjamada C. Kushalappa https://orcid.org/0000-0002-1501-1197 A C
+ Author Affiliations
- Author Affiliations

A Department of Plant Science, McGill University, Ste.-Anne-de-Bellevue, QC, Canada.

B The Roslin Institute, The University of Edinburgh, UK.

C Corresponding author. Email: ajjamada.kushalappa@mcgill.ca

Functional Plant Biology 48(1) 88-102 https://doi.org/10.1071/FP19327
Submitted: 13 November 2019  Accepted: 14 July 2020   Published: 3 August 2020

Abstract

In plants, the biosynthesis of the phenylpropanoid, flavonoid and fatty acid pathway monomers, polymers and conjugated metabolites play a vital role in disease resistance. These are generally deposited to reinforce cell walls to contain the pathogen to the site of infection. Identification of sequence variants in genes that biosynthesise these resistance metabolites can explain the mechanisms of disease resistance. The resistant and susceptible genotypes inoculated with Phytophthora infestans were RNA sequenced to identify the single nucleotide polymorphisms (SNPs) and insertion/deletion (InDel) variations. The SNPs/InDels were annotated and classified into different categories based on their effect on gene functions. In the selected 25 biosynthetic genes overlapping 39 transcripts, a total of 52 SNPs/InDels were identified in the protein-coding (CDS) regions. These were categorised as deleterious based on prediction of their effects on protein structure and function. The SNPs/InDels data obtained in this study can be used in genome editing to enhance late blight resistance in Russet Burbank and other potato cultivars.

Additional keywords: cell wall reinforcement, deleterious mutations, disease resistance, fatty acids, flavonoids, late blight of potato, metabolic pathways, phenylpropanoids, RNA-seq, SNPs/InDels.


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