- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Estimation of the Circadian Phase by Oscillatory Analysis of the Transcriptome in Plants
-
- TAKEOKA Mari
- Graduate School of Engineering, Osaka Prefecture University
-
- HIGASHI Takanobu
- Graduate School of Life and Environmental Science, Osaka Prefecture University
-
- N. HONJO Mie
- Center for Ecological Research, Kyoto University
-
- TEZUKA Ayumi
- Faculty of Agriculture, Ryukoku University
-
- J. NAGANO Atsushi
- Faculty of Agriculture, Ryukoku University Japan Science and Technology Agency
-
- TANIGAKI Yusuke
- Graduate School of Engineering, Osaka Prefecture University
-
- FUKUDA Hirokazu
- Graduate School of Engineering, Osaka Prefecture University Japan Science and Technology Agency
Search this article
Description
The phase of the circadian clock (body time) is related to various aspects of physiology and metabolism in plants. Therefore, it is important to evaluate body time to control plant quality and growth. The molecular timetable method, a statistical analysis of the transcriptome, is useful for plant body time estimation. However, it is necessary to verify some assumptions in this method for high resolution estimation in plants under various conditions. To investigate whether the assumptions are valid, we analyzed the period length and expression pattern of genes. We used Arabidopsis thaliana as a model plant, and both lettuce and tomato as model crops. A. thaliana and lettuce were cultivated under conditions of constant light in a closed plant factory, and tomato was cultivated in a sunlight-type plant factory. We found that estimation of the period length of the plant circadian rhythm was possible and that the gene expression pattern correlates well with test-fit cosine curves. Thus, we successfully demonstrated high-resolution estimation of body time in plants using a molecular timetable method.
Journal
-
- Environment Control in Biology
-
Environment Control in Biology 56 (2), 67-72, 2018
Japanese Society of Agricultural, Biological and Environmental Engineers and Scientists
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282680237089536
-
- NII Article ID
- 130006712454
-
- NII Book ID
- AA12029220
-
- ISSN
- 18830986
- 1880554X
-
- NDL BIB ID
- 028942179
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
-
- Abstract License Flag
- Disallowed