Transcriptome Analysis of a Cultivar of Green Perilla (Perilla frutescens) Using Genetic Similarity with Other Plants via Public Databases
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- TANIGAKI Yusuke
- Department of Mechanical Engineering, Graduate School of Engineering, Osaka Prefecture University
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- HIGASHI Takanobu
- Department of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Osaka Prefecture University
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- NAGANO Atsushi J.
- Faculty of Agriculture, Ryukoku University JST CREST Center for Ecological Research, Kyoto University
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- HONJO Mie N.
- Center for Ecological Research, Kyoto University
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- FUKUDA Hirokazu
- Department of Mechanical Engineering, Graduate School of Engineering, Osaka Prefecture University JST PRESTO
書誌事項
- タイトル別名
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- Transcriptome Analysis of a Cultivar of Green Perilla (<I>Perilla frutescens</I>) Using Genetic Similarity with Other Plants via Public Databases
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Improving the yield and quality of crops is imperative within agriculture. Both traits depend on gene expression and metabolic activities that are affected by environmental factor, and are therefore complex and variable. Transcriptome analysis is a helpful method to understand gene expression profiles in vivo; however, most crops are in fact cultivars for which there is little genetic information. In this study, we determined gene expression profiles of Perilla frutescens var. crispa f. viridis, a cultivar of green perilla. We compared the transcriptome gene sequence of P. frutescens in leaves and roots after 7, 14, and 35 d of growth with the gene sequences of other plants in public databases. Green perilla showed the highest similarity to Mimulus guttatus (Lamiales). Genetic information for approximately 13,000 genes was evaluated, and many of these genes have been classified into the organism's biological processes using Gene Ontology analysis. De novo-based gene expression levels and other plants-based gene expression levels were similar in 90% of genes. Results suggest that information from public databases can assist in analyzing the genetic information of cultivars. This method will be a platform for providing rapid and cost-effective options for use in commercial agriculture.
収録刊行物
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- Ｅｎｖｉｒｏｎｍｅｎｔ Ｃｏｎｔｒｏｌ ｉｎ Ｂｉｏｌｏｇｙ
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Ｅｎｖｉｒｏｎｍｅｎｔ Ｃｏｎｔｒｏｌ ｉｎ Ｂｉｏｌｏｇｙ 55 (2), 77-83, 2017
日本生物環境工学会
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詳細情報 詳細情報について
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- CRID
- 1390282680237279872
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- NII論文ID
- 130005607981
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- NII書誌ID
- AA12029220
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- ISSN
- 18830986
- 1880554X
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- NDL書誌ID
- 028154706
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- KAKEN
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- 使用不可