Fine mapping of Rcr1 and analyses of its effect on transcriptome patterns during infection by Plasmodiophora brassicae

BMC genomics(2014)

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摘要
Background The protist Plasmodiophora brassicae is a biotrophic soil-borne pathogen that causes clubroot on Brassica crops worldwide. Clubroot disease is a serious threat to the 8 M ha of canola ( Brassica napus ) grown annually in western Canada. While host resistance is the key to clubroot management, sources of resistance are limited. Results To identify new sources of clubroot resistance (CR), we fine mapped a CR gene ( Rcr1 ) from B. rapa ssp. c hinensis to the region between 24.26 Mb and 24.50 Mb on the linkage group A03, with several closely linked markers identified. Transcriptome analysis was conducted using RNA sequencing on a segregating F 1 population inoculated with P. brassicae , with 2,212 differentially expressed genes (DEGs) identified between plants carrying and not carrying Rcr1 . Functional annotation of these DEGs showed that several defense-related biological processes, including signaling and metabolism of jasmonate and ethylene, defensive deposition of callose and biosynthesis of indole-containing compounds, were up-regulated significantly in plants carrying Rcr1 while genes involved in salicylic acid metabolic and signaling pathways were generally not elevated. Several DEGs involved in metabolism potentially related to clubroot symptom development, including auxin biosynthesis and cell growth/development, showed significantly lower expression in plants carrying Rcr1 . Conclusion The CR gene Rcr1 and closely linked markers will be highly useful for breeding new resistant canola cultivars. The identification of DEGs between inoculated plants carrying and not carrying Rcr1 is an important step towards understanding of specific metabolic/signaling pathways in clubroot resistance mediated by Rcr1 . This information may help judicious use of CR genes with complementary resistance mechanisms for durable clubroot resistance.
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关键词
Clubroot,Plasmodiophora brassicae,Genetic mapping,Marker-assisted selection,Next-generation sequencing,RNA-seq,Gene ontology,Transcription factors
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