拟南芥转录组以及生长动力学研究论文-WIWAM植物表型成像系统

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拟南芥转录组以及生长动力学研究论文-WIWAM植物表型成像系统

发表时间:2019-02-20 11:07:51点击:1496

来源:北京欧亚国际科技有限公司

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    比利时根特大学发表了Time of day determines Arabidopsis transcriptome and growth dynamics under mild drought的文章,前期研究中,用到了WIWAM植物表型成像系统。WIWAM植物表型成像系统是的植物表型成像平台,可整合市面上所有传感器。尤为突出的是,各国科学家已经利用WIWAM植物表型成像系统在先进期刊发表多个论文。请阅读下文摘要以获得较多信息。

    北京欧亚国际科技有限公司是比利时WIWAM植物表型成像系统中国区总代理,全面负责其系列产品在中国市场的推广、销售和售后服务。

Time of day determines Arabidopsis transcriptome and growth dynamics under mild drought

ABSTRACT 

    Drought stress is a major  problem  for agriculture worldwide, causing significant yield losses. Plants  have  developed highly flexible  mechanisms  to  deal  with  drought,   including  organ- and  developmental stage-specific  responses.  In young  leaves, growth is repressed as an active mechanism  to save water and energy, increasing the chances of survival but decreasing  yield. Despite its importance, the molecular basis for this growth inhi- bition is largely unknown.  Here,  we present  a novel approach to  explore   early   molecular   mechanisms   controlling Arabidopsis  leaf  growth  inhibition   following  mild  drought. We found that growth and transcriptome responses  to drought are highly dynamic. Growth  was only repressed by drought during  the  day,  and  our  evidence  suggests  that  this may be due to gating by the circadian clock. Similarly, time of day strongly  affected  the  extent,  specificity, and  in certain  cases even direction  of drought-induced changes in gene expression. These  findings underscore the  importance of taking  into  ac- count diurnal  patterns to understand stress responses,  as only a  small  core  of  drought-responsive  genes  are  affected   by drought   at  all  times  of  the  day.  Finally,  we  leveraged   our high-resolution data to demonstrate that phenotypic and tran- scriptome  responses  can be matched  to identify putative  novel regulators of growth under  mild drought. 

Key-words:  leaf  growth  regulation;  mild  drought   response;

time-course  transcriptomics.

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