Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions

DOI Web Site Web Site PubMed PubMed 研究データあり 被引用文献70件 参考文献30件

書誌事項

公開日
2012-12
資源種別
journal article
権利情報
  • https://www.elsevier.com/tdm/userlicense/1.0/
  • https://www.elsevier.com/legal/tdmrep-license
  • http://www.elsevier.com/open-access/userlicense/1.0/
DOI
  • 10.1016/j.cell.2012.10.048
公開者
Elsevier BV

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説明

Determining the drivers of gene expression patterns is more straightforward in laboratory conditions than in the complex fluctuating environments where organisms typically live. We gathered transcriptome data from the leaves of rice plants in a paddy field along with the corresponding meteorological data and used them to develop statistical models for the endogenous and external influences on gene expression. Our results indicate that the transcriptome dynamics are predominantly governed by endogenous diurnal rhythms, ambient temperature, plant age, and solar radiation. The data revealed diurnal gates for environmental stimuli to influence transcription and pointed to relative influences exerted by circadian and environmental factors on different metabolic genes. The model also generated predictions for the influence of changing temperatures on transcriptome dynamics. We anticipate that our models will help translate the knowledge amassed in laboratories to problems in agriculture and that our approach to deciphering the transcriptome fluctuations in complex environments will be applicable to other organisms.

収録刊行物

  • Cell

    Cell 151 (6), 1358-1369, 2012-12

    Elsevier BV

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