Correction: Corrigendum: Comparative transcriptomic analysis uncovers the complex genetic network for resistance to Sclerotinia sclerotiorum in Brassica napus

Abstract

Scientific Reports 6: Article number: 19007; published online: 08 January 2016; updated: 21 February 2017. The original version of this Article contained an incorrect version of Supplementary Table S7. This error has now been corrected in the HTML version of this Article; the PDF version was correctat the time of publication.

Sclerotinia Stem Rot Resistance in Rapeseed: Recent Progress and Future Prospects

“…68 Some genes involved in pathogen recognition, such as the MAPK cascade, the JA/ET synthesis and signaling pathway, and the lignin synthesis pathway were also differentially expressed between SSR-resistant and -susceptible accessions. 50,88 In addition, the abundance of transcripts of genes related to glucosinolate and phenylpropanoid biosynthesis, and the content of glucosinolates were also significantly increased in the resistant accessions, which indicated that secondary metabolite production might be a key component in B. napus resistance against S. sclerotiorum. 68,88 The interaction between B. napus and S. sclerotiorum was also strictly regulated at the microRNA (miRNA) level.…”

“…50,88 In addition, the abundance of transcripts of genes related to glucosinolate and phenylpropanoid biosynthesis, and the content of glucosinolates were also significantly increased in the resistant accessions, which indicated that secondary metabolite production might be a key component in B. napus resistance against S. sclerotiorum. 68,88 The interaction between B. napus and S. sclerotiorum was also strictly regulated at the microRNA (miRNA) level. 91,92 Cao et al 93 identified 68 differentially expressed miRNAs between the SSR-inoculated and uninoculated leaves, some of which targeted plant defense or resistance-related genes, with three miRNAs targeting key components of post-transcriptional gene silencing (PTGS), AGO1 and AGO2.…”

“…Most of the studies at the omics level used accessions with different resistance levels to identify the genes/proteins induced by S. sclerotiorum infection in one specific or at several time periods, so as to analyze the regulation of expression patterns and the biochemical basis associated with resistance differences. Several metabolic and regulatory pathways related to SSR resistance have been detected by large-scale genomic techniques, such as cell wall synthesis, redox homeostasis, lipid signaling pathway, calcium signaling pathway, JA/ET signaling pathway, MAPK cascade, transcriptional regulation, and secondary metabolite synthesis. ,− For example, by using transcriptomics techniques, including microarrays and RNA-sequencing, some studies investigated the gene expression profiles of resistant and susceptible varieties at different time periods following challenge by S. sclerotiorum . It was shown that resistant varieties could induce the expression of defense genes and genes encoding transcription factors, such as zinc-finger proteins, WRKY, APETALA2 (AP2), and MYB at an earlier stage (6–12 hpi) .…”

“…It was shown that resistant varieties could induce the expression of defense genes and genes encoding transcription factors, such as zinc-finger proteins, WRKY, APETALA2 (AP2), and MYB at an earlier stage (6–12 hpi) . Some genes involved in pathogen recognition, such as the MAPK cascade, the JA/ET synthesis and signaling pathway, and the lignin synthesis pathway were also differentially expressed between SSR-resistant and -susceptible accessions. , In addition, the abundance of transcripts of genes related to glucosinolate and phenylpropanoid biosynthesis, and the content of glucosinolates were also significantly increased in the resistant accessions, which indicated that secondary metabolite production might be a key component in B. napus resistance against S. sclerotiorum . , …”