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      Genome-Wide Association Mapping Identifies Novel Loci for Quantitative Resistance to Blackleg Disease in Canola

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          Abstract

          Blackleg disease, caused by the fungal pathogen Leptosphaeria maculans, continues to be a major concern for sustainable production of canola ( Brassica napus L.) in many parts of the world. The deployment of effective quantitative resistance (QR) is recognized as a durable strategy in providing natural defense to pathogens. Herein, we uncover loci for resistance to blackleg in a genetically diverse panel of canola accessions by exploiting historic recombination events which occurred during domestication and selective breeding by genome-wide association analysis (GWAS). We found extensive variation in resistance to blackleg at the adult plant stage, including for upper canopy infection. Using the linkage disequilibrium and genetic relationship estimates from 12,414 high quality SNPs, GWAS identified 59 statistically significant and “suggestive” SNPs on 17 chromosomes of B. napus genome that underlie variation in resistance to blackleg, evaluated under field and shade-house conditions. Each of the SNP association accounted for up to 25.1% of additive genetic variance in resistance among diverse panel of accessions. To understand the homology of QR genomic regions with Arabidopsis thaliana genome, we searched the synteny between QR regions with 22 ancestral blocks of Brassicaceae. Comparative analyses revealed that 25 SNP associations for QR were localized in nine ancestral blocks, as a result of genomic rearrangements. We further showed that phenological traits such as flowering time, plant height, and maturity confound the genetic variation in resistance. Altogether, these findings provided new insights on the complex genetic control of the blackleg resistance and further expanded our understanding of its genetic architecture.

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                11 August 2020
                2020
                : 11
                : 1184
                Affiliations
                [1] 1 NSW Department of Primary Industries, Wagga Wagga Agricultural Institute , Wagga Wagga, NSW, Australia
                [2] 2 Centre for Bioinformatics and Biometrics, National Institute for Applied Statistics Research Australia, University of Wollongong , Wollongong, NSW, Australia
                [3] 3 Oil Crops Research Institute, Chinese Academy of Agricultural Sciences , Wuhan, China
                [4] 4 Department of Jobs, Precincts and Regions, Agriculture Victoria , Horsham, VIC, Australia
                Author notes

                Edited by: Ryo Fujimoto, Kobe University, Japan

                Reviewed by: Habibur Rahman, University of Alberta, Canada; Takahiro Kawanabe, Tokai University, Japan

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2020.01184
                7432127
                32849733
                fa5a18aa-f3df-45dd-87ed-f9857b1565bb
                Copyright © 2020 Raman, McVittie, Pirathiban, Raman, Zhang, Barbulescu, Qiu, Liu and Cullis

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 May 2020
                : 21 July 2020
                Page count
                Figures: 6, Tables: 4, Equations: 2, References: 84, Pages: 20, Words: 12379
                Funding
                Funded by: Grains Research and Development Corporation 10.13039/501100000980
                Award ID: DAN00117, DAN00208, DAN1701
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                natural variation,resistance to blackleg,leptosphaeria maculans,canola,genome-wide association analysis,linkage disequilibrium

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