Document Detail

Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions.
MedLine Citation:
PMID:  23217716     Owner:  NLM     Status:  In-Data-Review    
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.
Atsushi J Nagano; Yutaka Sato; Motohiro Mihara; Baltazar A Antonio; Ritsuko Motoyama; Hironori Itoh; Yoshiaki Nagamura; Takeshi Izawa
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Cell     Volume:  151     ISSN:  1097-4172     ISO Abbreviation:  Cell     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0413066     Medline TA:  Cell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1358-69     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Photosynthesis and Photobiology Research Unit, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan.
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