Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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SRA of transcriptome of Hevea brasiliensis

ABSTRACT: We report here the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain insight into the wide range of transcriptome of two Hevea brasiliensis clones (RY8-79 and PR107). The output of sequenced data showed that more than 26 million sequence reads with average length of 90nt were generated in both clones. Totally 51829 unigenes (mean size = 640 bp) were assembled through transcriptome de novo assembly, which represent more than 16-fold of all the sequences of Hevea brasiliensis deposited in the GenBank. Assembled sequences were annotated with gene descriptions, gene ontology and clusters of orthologous group terms. Base on limit rule with FDR≤0.001 and |log2 Ratio|≥1, 6726 different expression unigenes (3018 up and 3708 down) were detected as PR107 versus RY8-79. Functional analysis showed mass of categories were reprogrammed between two clones, which relate latex generation and expelling difference between them. As a comparative transcriptome analysis, the results obtained here will greatly expand our understanding of physiological differences among varieties in molecular level and will contribute t The transcriptome of latex in Hevea brasiliensis

ORGANISM(S): Hevea brasiliensis

SUBMITTER: Jinquan Chao

PROVIDER: E-GEOD-59981 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Here we performed a transcriptomic study on complete symptom development process of CMV-infected Nicotiana tabacum using Solexa/Illumina's high-throughput digital gene expression (DGE) system. 12 DGE libraries (from six virus-infected samples and six corresponding mock-inoculated samples) were constructed, and the gene expression variations between the virus-infected sample and the mock-inoculated sample in each symptom stage were compared. Thousands of differentially expressed genes were obtained by the comparison, and KEGG pathway analysis of these genes suggested that many biological processes (such as phtosynthesis, pigment metabolism and plant-pathogen interaction) were related to the symptom development. The authenticity of the DGE data was further confirmed by analyzing real-time RT-PCR using several random-selected genes. We sequenced a cDNA library constructed from mixture of total RNA from six virus-infected samples and six mock-inoculated samples to get gene information for tobacco leaves in different symptom stages, including vein clearing, mosaic, severe chlorosis, partial recovery, total recovery and re-mosaic, and 95,916 Unigenes were obtained Tobacco leaves were inoculated by CMV-infected leaf homogenate and healthy leaf homogenate, respectivley. Six time points with different symptom stage were selected, and one virus-infect sample and one mock-inoculated sample were collected at each time. In order to average out variation of different plants, five leaves from five different plants were mixed to prepare every RNA sample. Twelve individual tag libraries of samples (six infected samples and six mock-inoculated samples) were constructed in parallel. For the gene expression analysis, the twelve samples were grouped into six groups, and each group contained a virus-infected sample and a mock-inoculated sample collected at the same time. In each group, the DGE data of virus-infected sample were compared to that of mock-inoculated sample to obtain the gene expression variations. Illumina sequencing of transcripts from virus-infected and mock-inoculated samples to get gene information for tobacco leaves in different symptom stages. In order to get more gene information, the systemically infected leaves and mock-inoculated leaves were harvested at six time points and five leaves from five different plants were collected at each time point. The RNA-Seq analysis provided gene information for mock-inoculated and virus-infected tobacco leaves in different symptom stages.

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SRA of transcriptome of Hevea brasiliensis

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