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Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
MOROKOSHI: transcriptome database in Sorghum bicolor.
Yuko Makita1, Setsuko Shimada1, Mika Kawashima1
1Synthetic Genomics Research Team, Biomass Research Cooperation Division (BMEP), RIKEN Center for Sustainable Resource Science (CSRS), 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045 Japan.
This study presents a comprehensive Sorghum bicolor transcriptome analysis using full-length cDNA (FL-cDNA) and RNA sequencing (RNA-Seq). Researchers identified novel genes and isoforms, providing valuable expression data for sorghum research.
Area of Science:
- Plant genomics
- Transcriptome analysis
- Gene expression profiling
Background:
- Accurate annotation of transcriptional units and their expression profiles is crucial for transcriptome analysis.
- Full-length cDNA (FL-cDNA) collections and precise transcription start sites aid in refining annotation and understanding transcriptional regulation.
Purpose of the Study:
- To construct a normalized FL-cDNA library from Sorghum bicolor for enhanced transcriptome annotation.
- To analyze gene expression profiles using RNA sequencing (RNA-Seq) and identify novel genes and isoforms.
- To provide a publicly accessible resource for Sorghum bicolor transcriptome data.
Main Methods:
- Construction of a normalized FL-cDNA library from eight growth stages of Sorghum bicolor aerial tissues.
- Sanger sequencing of FL-cDNA clones to generate expressed sequence tags (ESTs).
- RNA sequencing (RNA-Seq) analysis of spikelet, seed, and stem tissues, combined with public sorghum RNA-Seq data.
Main Results:
- Generated 38,981 high-quality expressed sequence tags (ESTs) from 37,607 FL-cDNA clones.
- Annotated 272 novel genes, 323 antisense transcripts, and 1,672 candidate isoforms.
- Confirmed expression of 70.6% of newly identified genes and developed comprehensive gene expression profiles and co-expression networks.
Conclusions:
- The developed FL-cDNA library and expression data significantly enhance Sorghum bicolor transcriptome annotation.
- The study identified novel genetic elements and provided insights into gene regulation and expression patterns.
- A comprehensive transcriptome data resource for Sorghum bicolor is now available at http://sorghum.riken.jp for public access and comparison.
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