Genetic map construction and QTL mapping of resistance to blackleg (Leptosphaeria maculans) disease in Australian canola (Brassica napus L.) cultivars
Crops, Agricultural
0301 basic medicine
Genotype
Genetic Linkage
Linkage Map
Quantitative Trait Loci
Field-Resistance
Causal Agent
Chromosomes, Plant
Oilseed Rape
03 medical and health sciences
C1
Ascomycota
Aflp Markers
Sequence Repeat Markers
Major Gene
Plant Diseases
580
Polymorphism, Genetic
Brassica napus
Australia
060499 Genetics not elsewhere classified
Chromosome Mapping
Comparative Genomics
820502 Canola
Immunity, Innate
Phenotype
Expressed Sequences
Ssr Markers
DOI:
10.1007/s00122-009-1160-9
Publication Date:
2009-10-10T03:24:59Z
AUTHORS (21)
ABSTRACT
Genetic map construction and identification of quantitative trait loci (QTLs) for blackleg resistance were performed for four mapping populations derived from five different canola source cultivars. Three of the populations were generated from crosses between single genotypes from the blackleg-resistant cultivars Caiman, Camberra and (AV)Sapphire and the blackleg-susceptible cultivar Westar(10). The fourth population was derived from a cross between genotypes from two blackleg resistant varieties (Rainbow and (AV)Sapphire). Different types of DNA-based markers were designed and characterised from a collection of 20,000 EST sequences generated from multiple Brassica species, including a new set of 445 EST-SSR markers of high value to the international community. Multiple molecular genetic marker systems were used to construct linkage maps with locus numbers varying between 219 and 468, and coverage ranging from 1173 to 1800 cM. The proportion of polymorphic markers assigned to map locations varied from 70 to 89% across the four populations. Publicly available simple sequence repeat markers were used to assign linkage groups to reference nomenclature, and a sub-set of mapped markers were also screened on the Tapidor x Ningyou (T x N) reference population to assist this process. QTL analysis was performed based on percentage survival at low and high disease pressure sites. Multiple QTLs were identified across the four mapping populations, accounting for 13-33% of phenotypic variance (V (p)). QTL-linked marker data are suitable for implementation in breeding for disease resistance in Australian canola cultivars. However, the likelihood of shifts in pathogen race structure across different geographical locations may have implications for the long-term durability of such associations.
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