GENOMICS BASED APPROACH FOR IDENTIFYING GENETIC TRAITS AND MARKERS LINKED TO DISEASE RESISTANCE IN BRASSICA SPP.
2013 Annual Report
1a.Objectives (from AD-416):
1) Identify molecular markers linked to Sclerotinia and blackleg disease resistance in Brassica spp. and.
2)screen for genetic traits leading to enhanced disease resistance in canola.
1b.Approach (from AD-416):
Next generation sequence technologies will be used to screen breeding populations of Brassica spp. for molecular markers associated with disease resistance including (1) sequencing double haploid (DH) PI lines (parental lines resistant or susceptible to Sclerotinia), several lines from an F6 breeding population with resistance to Sclerotinia, and Westar (a susceptible variety); (2) conduct Genome Based Sequencing (GBS) on an F2 population developed from DH parents and a bi-parental mapping F2 population to identify single nucleotide polymorphisms (SNPs). SNPs and other molecular markers resulting from this sequencing project will be used to genotype breeding populations that have been phenotyped based on exposure to fungal pathogens causing Sclerotinia and blackleg disease.
Canola is a major source of heart-healthy vegetable oil world-wide and is an important rotational crop of the Northern Great Plains. To enhance disease resistance in canola, next-generation sequencing technologies are being used to identify molecular markers associated with two major diseases impacting canola production (Sclerotinia and blackleg). Seedlings from an F2 bi-parental population of canola were phenotyped for resistance and susceptibility to Sclerotinia and DNA samples from 207 individuals of this population were sent to Cornell University, Life Sciences Core Laboratories Center to identify SNPs. An additional 25 DNA samples from an F6 population of Sclerotinia resistant canola plants, and 148 DNA samples from a bi-parental mapping population of canola were also sent to Cornell University for sequencing. Phenotyping of canola breeding populations for blackleg resistance are underway and samples will be collected at a future date for identifying SNPs. Preliminary progress on this project will be presented at the next annual meeting of the Northern Canola Growers Association.