Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

SuperSAGE data from skunk cabbage spadices

ABSTRACT: This study aims at investigating the gene expression profile of thermogenic skunk cabbage (Symplocarpus renifolius). Using Super-SAGE, we compared the gene expression profile of different developmental stages of skunk cabbage spadices. To obtain the SuperSAGE libraries, we followed the original SuperSAGE protocol described by Matsumura and colleagues (Matsumura et al., 2003) with some modification. Total RNA of spadices in different developmental stage (immature, female, bisexual, and male) were isolated using RNAiso reagent. The SuperSAGE library was directly sequenced with a large-scale pyrosequencing method.

ORGANISM(S): Symplocarpus renifolius

SUBMITTER: Takehito Inaba

PROVIDER: E-GEOD-29852 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

The gene expression landscape of thermogenic skunk cabbage suggests critical roles for mitochondrial and vacuolar metabolic pathways in the regulation of thermogenesis.

Ito-Inaba Yasuko Y Hida Yamato Y Matsumura Hideo H Masuko Hiromi H Yazu Fumiko F Terauchi Ryohei R Watanabe Masao M Inaba Takehito T

Plant, cell & environment 20111031 3

Floral thermogenesis has been described in several plant species. Because of the lack of comprehensive gene expression profiles in thermogenic plants, the molecular mechanisms by which floral thermogenesis is regulated remain to be established. We examined the gene expression landscape of skunk cabbage (Symplocarpus renifolius) during thermogenic and post-thermogenic stages and identified expressed sequence tags from different developmental stages of the inflorescences using super serial analysi ...[more]

PMID: 21955303

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Project description:Background Drought is the major constraint to increase yield in chickpea (Cicer arietinum). Improving drought tolerance is therefore of outmost importance for breeding. However, the complexity of the trait allowed only marginal progress. A solution to the current stagnation is expected from innovative molecular tools such as transcriptome analyses providing insight into stress-related gene activity and, combined with molecular markers and expression (e)QTL mapping, may accelerate knowledge-based breeding. SuperSAGE, an improved version of the serial analysis of gene expression (SAGE) technique, currently is the most advanced tool for transcriptome analysis. SuperSAGE generates genome-wide, high-quality transcription profiles from any eukaryote. The method produces 26bp long fragments (SuperTags26bp tags) from defined positions in cDNAs, providing sufficient sequence information to unambiguously characterize the mRNAs. Further, SuperSAGE Tags may be immediately used to produce so called SuperTag microarrays and probes for real-time-PCR thereby overcoming the lack of genomic tools in non-model organisms. Results We applied SuperSAGE to the analysis of gene expression in chickpea roots in response to drought. To this end, we sequenced 80,238 26bp SuperTtags representing 17,493 unique transcripts (UniTags) from drought-stressed and non-stressed control roots. A total of 7,532 (43%) UniTags were more than 2.7-fold differentially expressed , and 880 (5.0%) were regulated more than 8-fold upon stress. Their large size enabled the unambiguous annotation of 2,798 (16.3%) UniTags to genes or proteins in public data bases and thus to stress-response processes. We designed a microSuperTag array carrying 3,000 of these SuperTags26bp tags. The chip data confirmed the SuperSAGE results in 79 % of cases whereas RT-PCR confirmed the SuperSAGE data in all cases. Conclusions This study represents the most comprehensive analysis of the drought-response transcriptome of chickpea available to date. It demonstrates that - inter alias - signal transduction, transcription regulation, osmolyte accumulation, chromosome organization, and ROS scavenging undergo strong transcriptional remodelling in chickpea roots already 6h after drought stress. Certain transcript isoforms characterizing these processes are potential targets for breeding for drought tolerance. We demonstrate that these can be easily accessed by micro-arrays and RT-PCR assays readily produced downstream of SuperSAGE. Our study proves that SuperSAGE has a good potential is best suited for molecular breeding also in non-model crops.

Dataset Information

SuperSAGE data from skunk cabbage spadices

Publications

The gene expression landscape of thermogenic skunk cabbage suggests critical roles for mitochondrial and vacuolar metabolic pathways in the regulation of thermogenesis.

Similar Datasets

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