Dataset Information

RNA-Seq derived identification of differential transcription in the chrysanthemum leaf following inoculation with Alternaria tenuissima.

ABSTRACT: BACKGROUND: A major production constraint on the important ornamental species chrysanthemum is black spot which is caused by the necrotrophic fungus Alternaria tenuissima. The molecular basis of host resistance to A. tenuissima has not been studied as yet in any detail. Here, high throughput sequencing was taken to characterize the transcriptomic response of the chrysanthemum leaf to A. tenuissima inoculation. RESULTS: The transcriptomic data was acquired using RNA-Seq technology, based on the Illumina HiSeq™ 2000 platform. Four different libraries derived from two sets of leaves harvested from either inoculated or mock-inoculated plants were characterized. Over seven million clean reads were generated from each library, each corresponding to a coverage of >350,000 nt. About 70% of the reads could be mapped to a set of chrysanthemum unigenes. Read frequency was used as a measure of transcript abundance and therefore as an identifier of differential transcription in the four libraries. The differentially transcribed genes identified were involved in photosynthesis, pathogen recognition, reactive oxygen species generation, cell wall modification and phytohormone signalling; in addition, a number of varied transcription factors were identified. A selection of 23 of the genes was transcription-profiled using quantitative RT-PCR to validate the RNA-Seq output. CONCLUSIONS: A substantial body of chrysanthemum transcriptomic sequence was generated, which led to a number of insights into the molecular basis of the host response to A. tenuissima infection. Although most of the differentially transcribed genes were up-regulated by the presence of the pathogen, those involved in photosynthesis were down-regulated.

SUBMITTER: Li H

PROVIDER: S-EPMC3890596 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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RNA-Seq derived identification of differential transcription in the chrysanthemum leaf following inoculation with Alternaria tenuissima.

Li Huiyun H Chen Sumei S Song Aiping A Wang Haibin H Fang Weimin W Guan Zhiyong Z Jiang Jiafu J Chen Fadi F

BMC genomics 20140104

<h4>Background</h4>A major production constraint on the important ornamental species chrysanthemum is black spot which is caused by the necrotrophic fungus Alternaria tenuissima. The molecular basis of host resistance to A. tenuissima has not been studied as yet in any detail. Here, high throughput sequencing was taken to characterize the transcriptomic response of the chrysanthemum leaf to A. tenuissima inoculation.<h4>Results</h4>The transcriptomic data was acquired using RNA-Seq technology, b ...[more]

PMID: 24387266

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Project description:Tomato (Solanum lycopersicum L.) is a major Solanaceae crop worldwide and is vulnerable to bacterial wilt (BW) caused by Ralstonia solanacearum during the production process. BW has become a growing concern that could enormously deplete the tomato yield from 50 to 100% and decrease the quality. Research on the molecular mechanism of tomato regulating BW resistance is still limited. In this study, two tomato inbred lines (Hm 2-2, resistant to BW; and BY 1-2, susceptible to BW) were used to explore the molecular mechanism of tomato in response to R. solanacearum infection by RNA-sequencing (RNA-seq) technology. We identified 1923 differentially expressed genes (DEGs) between Hm 2-2 and BY 1-2 after R. solanacearum inoculation. Among these DEGs, 828 were up-regulated while 1095 were down-regulated in R-3dpi (Hm 2-2 at 3 days post-inoculation with R. solanacearum) vs. R-mock (mock-inoculated Hm 2-2); 1087 and 2187 were up- and down-regulated, respectively, in S-3dpi (BY 1-2 at 3 days post-inoculation with R. solanacearum) vs. S-mock (mock-inoculated BY 1-2). Moreover, Gene Ontology (GO) enrichment analysis revealed that the largest amount of DEGs were annotated with the Biological Process terms, followed by Cellular Component and Molecular Function terms. A total of 114, 124, 85, and 89 regulated (or altered) pathways were identified in R-3dpi vs. R-mock, S-3dpi vs. S-mock, R-mock vs. S-mock, and R-3dpi vs. S-3dpi comparisons, respectively, by Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis. These clarified the molecular function and resistance pathways of DEGs. Furthermore, quantitative RT-PCR (qRT-PCR) analysis confirmed the expression patterns of eight randomly selected DEGs, which suggested that the RNA-seq results were reliable. Subsequently, in order to further verify the reliability of the transcriptome data and the accuracy of qRT-PCR results, WRKY75, one of the eight DEGs was silenced by virus-induced gene silencing (VIGS) and the defense response of plants to R. solanacearum infection was analyzed. In conclusion, the findings of this study provide profound insight into the potential mechanism of tomato in response to R. solanacearum infection, which lays an important foundation for future studies on BW.

Dataset Information

RNA-Seq derived identification of differential transcription in the chrysanthemum leaf following inoculation with Alternaria tenuissima.

Publications

RNA-Seq derived identification of differential transcription in the chrysanthemum leaf following inoculation with Alternaria tenuissima.

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