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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
Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray
Kouji Satoh1, Koji Doi, Toshifumi Nagata
1Division of Genome and Biodiversity Research, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan.
Plos One
|November 29, 2007
Summary
This study categorizes rice genes based on their expression and structure, revealing differences between annotated expressed, annotated non-expressed, and non-annotated expressed genes. Cloning efficiency of rice full-length complementary DNA (FL-cDNA) is linked to transcription activity, with biases observed for certain eukaryotic genes.
Area of Science:
- Genomics
- Molecular Biology
- Plant Science
Background:
- Rice (Oryza sativa L.) serves as a model for monocot functional genomics due to its compact genome.
- Accurate rice genome sequences exist, but full-length complementary DNA (FL-cDNA) resources are crucial for comprehensive gene analysis.
Purpose of the Study:
- To classify rice genes based on annotation status and expression data.
- To investigate the relationship between gene structure, expression levels, and FL-cDNA cloning efficiency.
- To identify biases in FL-cDNA library construction for specific gene families.
Main Methods:
- Cross-referencing rice genome loci with FL-cDNA clone mapping.
- Classifying genes into annotated expressed (AE), annotated non-expressed (ANE), and non-annotated expressed (NAE) categories.
- Developing and utilizing a 60-mer oligo-array for gene expression analysis.
Main Results:
- Significant differences in gene structure and expression patterns were observed between AE, ANE, and NAE genes.
- FL-cDNA cloning efficiency correlates with the transcription activity of the genetic locus.
- Genes encoding rice- or eukaryote-specific domains and regulatory functions showed lower FL-cDNA coverage in bacterial systems.
Conclusions:
- Rice genes can be distinctly grouped by transcription activity and structural features.
- FL-cDNA clone coverage exhibits bias, potentially due to bacterial incompatibility with certain eukaryotic genes.
- Understanding these classifications and biases is vital for advancing rice functional genomics research.
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