Project description:Background: Sugar beet is an important root crop, accounting for 30 % of the sugar production worldwide. The long growing season make sugar beets exposed to a range of plant pathogens for longer periods than most other crops. Here, contrasting sugar beet genotypes were used for transcriptome analysis to reveal differential responses and new defense genes to Rhizoctonia solani, a soilborn fungal pathogen. Results: After curation of primary RNA-sequencing reads, 16,768 genes deriving from 36 samples composed of two susceptible and two resistant sugar beet genotypes, three time-points (0, two and five days post inoculation), each in three replicates were subjected for analysis. Among the elevated 217 transcripts at 2 dpi, three resistance-like genes (Bv4_088600_cumk, Bv8u_204980_frqg, and Bv_44840_iifo) were activated. By employing edgeR package statistics, 660 genes were significantly different (false discovery rate < 0.05) between resistant and susceptible genotypes in their response to R. solani inoculation. A combination of eukaryotic orthologous group assignments and gene ontology enrichment analyses, revealed three Bet v I/Major latex protein homologous genes (Bv7_162510_pymu, Bv7_162520_etow, Bv_27270_xeas) in the resistant genotypes after five days of fungal challenge. Co-expression network analysis of differentially expressed sugar beet genes further identified a MYB46 transcription factor, a plant disease resistance response protein (DRR206) and a flavonoid o-methyltransferase protein. MYB46 has a key function in secondary cell wall formation and exist as a singleton in the sugar beet genome. The genome of R. solani is enriched in cell wall degrading enzyme encoding genes and it is anticipated that they represent important virulence factors. Compared to Arabidopsis thaliana, sugar beet has 2.4-fold more carbohydrate esterases and particularly large numbers (26-fold) of auxiliary activity encoding genes whose function in cell wall biosynthesis is largely unknown. Conclusions: Based on components identified in this sugar beet transcript data set we conclude that defense responses to R. solani are attributed to a wide range of gene categories but functional information is missing to a large extent. This calls for careful integration to avoid negative side effects to obtain optimal combinations of these traits in order to reach the long-term goal of improved resistance in sugar beet.
2017-12-22 | GSE92859 | GEO
Project description:Metatranscriptomic sequences of Rhizoctonia zeae strain D40 associated with sugar beet seedling damping-off
| PRJNA936916 | ENA
Project description:Metatranscriptomic sequences of Rhizoctonia spp. isolates associated with sugar beet crown and root rot disease
Project description:Rhizoctonia solani Kühn is a soilborne basidiomycetous fungus that causes significant damage to many economically important crops. R. solani isolates are classified into 13 Anastomosis Groups (AGs) with interspecific subgroups having distinctive morphology, pathogenicity and wide host range. However, the genetic factors that drive the unique fungal pathology are still not well characterized due to the limited number of available annotated genomes. Therefore, we performed genome sequencing, assembly, annotation and functional analysis of 13 R. solani isolates covering 7 AGs and selected subgroups (AG1-IA, AG1-IB, AG1-IC, AG2-2IIIB, AG3-PT, AG3-TB, AG4-HG-I, AG5, AG6, and AG8). Here, we report a pangenome comparative analysis of 13 R. solani isolates covering important groups to elucidate unique and common attributes associated with each isolate, including molecular factors potentially involved in determining AG-specific host preference. Finally, we present the largest repertoire of annotated R. solani genomes, compiled as a comprehensive and user-friendly database, viz. RsolaniDB. Since 7 genomes are reported for the first time, the database stands as a valuable platform for formulating new hypotheses by hosting annotated genomes, with tools for functional enrichment, orthologs and sequence analysis, currently not available with other accessible state-of-the-art platforms hosting Rhizoctonia genome sequences.
Project description:Beet necrotic yellow vein virus (BNYVV) and Beet soil-borne mosaic virus (BSBMV) belong to the genus Benyvirus. Both viruses share a similar genome organization, but disease development induced in their major host plant sugar beet displays striking differences. BNYVV induces excessive lateral root (LR) formation by hijacking auxin-regulated pathways; whereas BSBMV infected roots appear asymptomatic. To elucidate transcriptomic changes associated with the virus-specific disease development of BNYVV and BSBMV, we performed a comparative transcriptome analysis of a virus infected susceptible sugar beet genotype.
Project description:We constructed seven small RNA libraries of Rhizoctonia solani AG1 IA and sequenced using Illumina GA II. The seven samples include mycelium cultured on PDA without rice incubated, 6 different stages at 10 hours (10h), 18h, 24h, 32h, 48h and 72h spanning the Rhizoctonia solani AG1 strains infection rice. We identified miRNA-like small RNAs (milRNAs) using MIREAP and mirdeep2. The milRNAs were used for further analysis of interactions between milRNA and mRNA that may involve in plant-infection.
Project description:Differential analysis of the potato-Rhizoctonia solani AG3 interaction. Samples were extracted from R. solani inoculated potato sprouts at two time points. R. solani is one of the most prominent fungal pests of potato and therefore of great economic relevance.
Project description:The aim of this study was to explore epigenetic variations between sugar beet genotypes with distinct bolting tolerance levels and to identify genes that could be involved in sugar beet bolting tolerance. We focused on shoot apical meristem, the site of floral transition, from six sugar beet genotypes that were submitted to 9 weeks of vernalization treatment. This duration of cold exposure allowed bolting in the 3 sensitive genotypes but not in the 3 resistant ones. Single-copy sequences of DNA, potentially enriched in coding sequences, were isolated by Cot analysis and sequenced using Roche's GS-FLX sequencing technology in order to complete public sugar beet databases. Oligonucleotide arrays based on our single-copy sequences (about 42 000 predicted Open Reading Frames (ORFs)) and public database sequences (30 235 ESTs) were designed and used for transcriptomic and methylation analyses. We identified 1580 differentially expressed sequences (DES) and 1526 differentially methylated sequences (DMS) between bolting resistant and bolting sensitive genotypes. Using higher stringency criteria, we focused on 169 DES (with 87 up-regulated in R genotypes and 82 up-regulated in S ones) and 111 DMS (all hyper-methylated in S genotypes). In addition, 14 sequences were found to be both differentially methylated and differentially expressed, exhibiting negative correlation between their methylation and expression. We showed that bolting tolerance involved an integrated network of genes from environment perception, phytohormone signaling to flowering induction.