A genome-wide association study of the maize hypersensitive defense response identifies genes that cluster in related pathways.

• Main Authors: Bode A Olukolu, Guan-Feng Wang, Vijay Vontimitta, Bala P Venkata, Sandeep Marla, Jiabing Ji, Emma Gachomo, Kevin Chu, Adisu Negeri, Jacqueline Benson, Rebecca Nelson, Peter Bradbury, Dahlia Nielsen, James B Holland, Peter J Balint-Kurti, Gurmukh Johal
• Format: Article
• Language: English
• Published: Public Library of Science (PLoS) 2014-08-01
• Series: PLoS Genetics
• Online Access: http://europepmc.org/articles/PMC4148229?pdf=render
• ISSN: 1553-7390; 1553-7404

Much remains unknown of molecular events controlling the plant hypersensitive defense response (HR), a rapid localized cell death that limits pathogen spread and is mediated by resistance (R-) genes. Genetic control of the HR is hard to quantify due to its microscopic and rapid nature. Natural modifiers of the ectopic HR phenotype induced by an aberrant auto-active R-gene (Rp1-D21), were mapped in a population of 3,381 recombinant inbred lines from the maize nested association mapping population. Joint linkage analysis was conducted to identify 32 additive but no epistatic quantitative trait loci (QTL) using a linkage map based on more than 7000 single nucleotide polymorphisms (SNPs). Genome-wide association (GWA) analysis of 26.5 million SNPs was conducted after adjusting for background QTL. GWA identified associated SNPs that colocalized with 44 candidate genes. Thirty-six of these genes colocalized within 23 of the 32 QTL identified by joint linkage analysis. The candidate genes included genes predicted to be in involved programmed cell death, defense response, ubiquitination, redox homeostasis, autophagy, calcium signalling, lignin biosynthesis and cell wall modification. Twelve of the candidate genes showed significant differential expression between isogenic lines differing for the presence of Rp1-D21. Low but significant correlations between HR-related traits and several previously-measured disease resistance traits suggested that the genetic control of these traits was substantially, though not entirely, independent. This study provides the first system-wide analysis of natural variation that modulates the HR response in plants.