URL: | http://sorghum.riken.jp/morokoshi/Home.html |
Full name: | MOROKOSHI Sorghum transcriptome database |
Description: | MOROKOSHI contains original full-length cDNA ESTs of about 40,000 clones and RNA-Seq data of triplicated three samples: spikelets, seeds and stems. MOROKOSHI also integrated publicly avelable RNA-seq data. |
Year founded: | 2015 |
Last update: | 2014-12-09 |
Version: | ver. 1 |
Accessibility: | |
Country/Region: | Japan |
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University/Institution: | RIKEN |
Address: | RIKEN Center for Sustainable Resource Science, Hirosawa 2-1, Wako, Saitama, 351-0198 Japan |
City: | Yokohama |
Province/State: | |
Country/Region: | Japan |
Contact name (PI/Team): | Minami Matsui |
Contact email (PI/Helpdesk): | minami@riken.jp |
MOROKOSHI: transcriptome database in Sorghum bicolor. [PMID: 25505007]
In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We constructed a normalized FL-cDNA library from eight growth stages of aerial tissues in Sorghum bicolor and isolated 37,607 clones. These clones were Sanger sequenced from the 5' and/or 3' ends and in total 38,981 high-quality expressed sequence tags (ESTs) were obtained. About one-third of the transcripts of known genes were captured as FL-cDNA clone resources. In addition to these, we also annotated 272 novel genes, 323 antisense transcripts and 1,672 candidate isoforms. These clones are available from the RIKEN Bioresource Center. After obtaining accurate annotation of transcriptional units, we performed expression profile analysis. We carried out spikelet-, seed- and stem-specific RNA sequencing (RNA-Seq) analysis and confirmed the expression of 70.6% of the newly identified genes. We also downloaded 23 sorghum RNA-Seq samples that are publicly available and these are shown on a genome browser together with our original FL-cDNA and RNA-Seq data. Using our original and publicly available data, we made an expression profile of each gene and identified the top 20 genes with the most similar expression. In addition, we visualized their relationships in gene co-expression networks. Users can access and compare various transcriptome data from S, bicolor at http://sorghum.riken.jp. © The Author 2014. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. |
Functional and expression analyses of transcripts based on full-length cDNAs of Sorghum bicolor. [PMID: 26546227]
Sorghum bicolor is one of the most important crops for food and bioethanol production. Its small diploid genome and resistance to environmental stress make sorghum an attractive model for studying the functional genomics of the Saccharinae and other C4 grasses. We analyzed the domain-based functional annotation of the cDNAs using the gene ontology (GO) categories for molecular function to characterize all the genes cloned in the full-length cDNA library of sorghum. The sorghum cDNA library successfully captured a wide range of cDNA-encoded proteins with various functions. To characterize the protein function of newly identified cDNAs, a search of their deduced domains and comparative analyses in the Oryza sativa and Zea mays genomes were carried out. Furthermore, genes on the sense strand corresponding to antisense transcripts were classified based on the GO of molecular function. To add more information about these genes, we have analyzed the expression profiles using RNA-Seq of three tissues (spikelet, seed and stem) during the starch-filling phase. We performed functional analysis of tissue-specific genes and expression analysis of genes of starch biosynthesis enzymes. This functional analysis of sorghum full-length cDNAs and the transcriptome information will facilitate further analysis of the Saccharinae and grass families. |