QTL mapping and transcriptome analysis identify novel QTLs and candidate genes in Brassica villosa for quantitative resistance against Sclerotinia sclerotiorum.
Thomas BergmannJan MenkhausWanzhi YeMarkus SchemmelMario HaslerSteffen RietzGunhild LeckbandDaguang CaiPublished in: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2023)
populations for Sclerotinia-resistance, generated by interspecific crosses between the resistant B. villosa (BRA1896) and the wild susceptible B. oleracea (BRA1909) were assessed for Sclerotinia-resistance. Genetic mapping using a 15-k Illumina Infinium SNP-array resulted in a high-density genetic map containing 1,118 SNP markers and spanning a total genetic length of 792.2 cM. QTL analysis revealed seven QTLs explaining 3.8% to 16.5% of phenotypic variance. Intriguingly, RNAseq-based transcriptome analysis identified genes and pathways specific to B. villosa, of which a cluster of five genes encoding putative receptor-like kinases (RLKs) and two pathogenesis-related (PR) proteins are co-localized within a QTL on chromosome C07. Furthermore, transcriptomic analysis revealed enhanced ethylene (ET)-activated signaling in the resistant B. villosa, which is associated with a stronger plant immune response, depressed cell death, and enhanced phytoalexin biosynthesis compared to the susceptible B. oleracea. Our data demonstrates that B. villosa represents a novel and unique genetic source for improving oilseed rape resistance against SSR.
Keyphrases
- high density
- genome wide
- copy number
- cell death
- immune response
- dna methylation
- high resolution
- gene expression
- genetic diversity
- genome wide identification
- genome wide analysis
- single cell
- electronic health record
- big data
- machine learning
- signaling pathway
- inflammatory response
- deep learning
- data analysis
- bioinformatics analysis
- arabidopsis thaliana