Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions
Plants rely on transcriptional dynamics to respond to multiple climatic fluctuations and contexts in nature. We analyzed the genome-wide gene expression patterns of rice (Oryza sativa) growing in rainfed and irrigated fields during two distinct tropical seasons and determined simple linear models th...
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
eLife Sciences Publications, Ltd.
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/165326 |
| _version_ | 1855524966279151616 |
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| author | Plessis, Anne Hafemeister, Christoph Wilkins, Olivia Gonzaga, Zennia Jean Meyer, Rachel Sarah Pires, Inês Müller, Christian Septiningsih, Endang M. Bonneau, Richard Purugganan, Michael |
| author_browse | Bonneau, Richard Gonzaga, Zennia Jean Hafemeister, Christoph Meyer, Rachel Sarah Müller, Christian Pires, Inês Plessis, Anne Purugganan, Michael Septiningsih, Endang M. Wilkins, Olivia |
| author_facet | Plessis, Anne Hafemeister, Christoph Wilkins, Olivia Gonzaga, Zennia Jean Meyer, Rachel Sarah Pires, Inês Müller, Christian Septiningsih, Endang M. Bonneau, Richard Purugganan, Michael |
| author_sort | Plessis, Anne |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Plants rely on transcriptional dynamics to respond to multiple climatic fluctuations and contexts in nature. We analyzed the genome-wide gene expression patterns of rice (Oryza sativa) growing in rainfed and irrigated fields during two distinct tropical seasons and determined simple linear models that relate transcriptomic variation to climatic fluctuations. These models combine multiple environmental parameters to account for patterns of expression in the field of co-expressed gene clusters. We examined the similarities of our environmental models between tropical and temperate field conditions, using previously published data. We found that field type and macroclimate had broad impacts on transcriptional responses to environmental fluctuations, especially for genes involved in photosynthesis and development. Nevertheless, variation in solar radiation and temperature at the timescale of hours had reproducible effects across environmental contexts. These results provide a basis for broad-based predictive modeling of plant gene expression in the field. |
| format | Journal Article |
| id | CGSpace165326 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | eLife Sciences Publications, Ltd. |
| publisherStr | eLife Sciences Publications, Ltd. |
| record_format | dspace |
| spelling | CGSpace1653262025-05-14T10:24:08Z Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions Plessis, Anne Hafemeister, Christoph Wilkins, Olivia Gonzaga, Zennia Jean Meyer, Rachel Sarah Pires, Inês Müller, Christian Septiningsih, Endang M. Bonneau, Richard Purugganan, Michael climatic change climatic factors gene expression genes genomes irrigation temperature Plants rely on transcriptional dynamics to respond to multiple climatic fluctuations and contexts in nature. We analyzed the genome-wide gene expression patterns of rice (Oryza sativa) growing in rainfed and irrigated fields during two distinct tropical seasons and determined simple linear models that relate transcriptomic variation to climatic fluctuations. These models combine multiple environmental parameters to account for patterns of expression in the field of co-expressed gene clusters. We examined the similarities of our environmental models between tropical and temperate field conditions, using previously published data. We found that field type and macroclimate had broad impacts on transcriptional responses to environmental fluctuations, especially for genes involved in photosynthesis and development. Nevertheless, variation in solar radiation and temperature at the timescale of hours had reproducible effects across environmental contexts. These results provide a basis for broad-based predictive modeling of plant gene expression in the field. 2015-12-31 2024-12-19T12:54:56Z 2024-12-19T12:54:56Z Journal Article https://hdl.handle.net/10568/165326 en Open Access eLife Sciences Publications, Ltd. Plessis, Anne; Hafemeister, Christoph; Wilkins, Olivia; Gonzaga, Zennia Jean; Meyer, Rachel Sarah; Pires, Inês; Müller, Christian; Septiningsih, Endang M; Bonneau, Richard and Purugganan, Michael. 2015. Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions. eLife, (e-first): e08411(61 pages), ill. Ref. |
| spellingShingle | climatic change climatic factors gene expression genes genomes irrigation temperature Plessis, Anne Hafemeister, Christoph Wilkins, Olivia Gonzaga, Zennia Jean Meyer, Rachel Sarah Pires, Inês Müller, Christian Septiningsih, Endang M. Bonneau, Richard Purugganan, Michael Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title | Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title_full | Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title_fullStr | Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title_full_unstemmed | Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title_short | Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| title_sort | multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions |
| topic | climatic change climatic factors gene expression genes genomes irrigation temperature |
| url | https://hdl.handle.net/10568/165326 |
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