Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions

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cg.contributor.affiliationNew York Universityen_US
cg.contributor.affiliationInternational Rice Research Instituteen_US
cg.contributor.affiliationSimons Foundationen_US
cg.identifier.doihttps://doi.org/10.7554/elife.08411en_US
cg.issn2050-084Xen_US
cg.journaleLifeen_US
cg.volume4en_US
dc.contributor.authorPlessis, Anneen_US
dc.contributor.authorHafemeister, Christophen_US
dc.contributor.authorWilkins, Oliviaen_US
dc.contributor.authorGonzaga, Zennia Jeanen_US
dc.contributor.authorMeyer, Rachel Sarahen_US
dc.contributor.authorPires, Inêsen_US
dc.contributor.authorMüller, Christianen_US
dc.contributor.authorSeptiningsih, Endang Men_US
dc.contributor.authorBonneau, Richarden_US
dc.contributor.authorPurugganan, Michaelen_US
dc.date.accessioned2024-12-19T12:54:56Zen_US
dc.date.available2024-12-19T12:54:56Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/165326en_US
dc.titleMultiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditionsen_US
dcterms.abstractPlants 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.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2015-11-26en_US
dcterms.bibliographicCitationPlessis, 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.en_US
dcterms.issued2015-12-31en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publishereLife Sciences Publications, Ltd.en_US
dcterms.subjectclimatic changeen_US
dcterms.subjectclimatic factorsen_US
dcterms.subjectgene expressionen_US
dcterms.subjectgenesen_US
dcterms.subjectgenomesen_US
dcterms.subjectirrigationen_US
dcterms.subjecttemperatureen_US
dcterms.typeJournal Articleen_US

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