Botrytis cinerea
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ABSTRACT:
PROVIDER: PRJNA496584 | ENA |
REPOSITORIES: ENA
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Project description:Purpose: The goals of this study are using RNA-seq to obtain cucumber and Botrytis cinerea transcriptome changes during infection Methods: mRNA profiles of anti-infection samples and interaction sample were generate by deep sequencing,using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow,In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber (differential expression genes) DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. Conclusions:To the best of our knowledge, this is the first analysis of large-scale transcriptome changes of cucumber during the infection of Botrytis cinerea. These results will increase our understanding of the molecular mechanisms of the cucumber defense Botrytis cinerea and may be used to protect plants against disasters caused by necrotrophic fungal pathogens.
2016-08-01 | GSE72191 | GEO
Project description:Purpose: The goals of this study are using RNA-seq to obtain cucumber and Botrytis cinerea transcriptome changes during infection Methods: mRNA profiles of anti-infection samples and interaction sample were generate by deep sequencing,using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: BurrowsâWheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRTâPCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow,In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber (differential expression genes) DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. Conclusions:To the best of our knowledge, this is the first analysis of large-scale transcriptome changes of cucumber during the infection of Botrytis cinerea. These results will increase our understanding of the molecular mechanisms of the cucumber defense Botrytis cinerea and may be used to protect plants against disasters caused by necrotrophic fungal pathogens. mRNA profiles of infection and anti-infection cucumber were generated by deep sequencing, using Illumina Hiseq 2500 .
2016-08-01 | E-GEOD-72191 | biostudies-arrayexpress
Project description:Transcriptional profiling of Arabidopsis leaves comparing mock-treated leaves with Botrytis cinerea infected leaves over a time-course (12 and 24 hrs).
2011-03-01 | GSE24445 | GEO
Project description:Analysis of the genome-wide DNA methylation pattern of Botrytis cinerea. Results provide new and important information that DNA methylation is critical for pathogenicity and development of Botrytis cinerea by regulating gene expression.
2019-10-01 | GSE114821 | GEO
Project description:Transcriptomic analysis in response to Botrytis cinerea infections under conrasting nitrate regime Nitrogen (N) is one of the main limiting nutrients for plant growth and crop yield. It is well documented that changes in nitrate availability, the main N source found in agricultural soils, influences a myriad of developmental programs and processes including the plant defense response. Indeed, many agronomical reports indicate that the plant N nutritional status influences their ability to respond effectively when challenged by different pathogens. However, the molecular mechanisms involved in N-modulation of plant susceptibility to pathogens are poorly characterized. In this work, we show that Solanum lycopersicum defense response to the necrotrophic fungus Botrytis cinerea is affected by plant N availability, with higher susceptibility in nitrate-limiting conditions. Global gene expression responses of tomato against B. cinerea under contrasting nitrate conditions reveals that plant primary metabolism is affected by the fungal infection regardless of N regimes. This result suggests that differential susceptibility to pathogen attack under contrasting N conditions is not only explained by a metabolic alteration. We used a systems biology approach to identify the transcriptional regulatory network implicated in plant response to the fungus infection under contrasting nitrate conditions. Interestingly, hub genes in this network are known key transcription factors involved in ethylene and jasmonic acid signaling. This result positions these hormones as key integrators of nitrate and defense against B. cinerea in tomato plants. Our results provide insights into potential crosstalk mechanisms between necrotrophic defense response and N status in plants. To better understand the molecular changes underlying the impact of nitrate availability on plant susceptibility to B. cinerea, we performed plant transcriptome profiling assays on mock-treated (3 biological replicates) and infected plants ( 3 biological replicates) grown under three N conditions, using GeneChip Tomato Genome Arrays (Affymetrix).
2015-09-16 | E-GEOD-73006 | biostudies-arrayexpress