Transcriptome Dynamics in Rice Leaves Under Natural Field Conditions



Although crops have been domesticated and bred under natural field conditions, the majority of molecular genetic analyses have been performed under controlled artificial conditions, such as growth chambers. This restricts agricultural application of new findings on important crops based on molecular genetics. Recently, several transcriptome analyses to elucidate the dynamics of the transcriptome and several specific biological traits have been reported. These analyses made full use of cutting-edge methods of statistical modeling and Bayesian approaches. One critical finding of these studies was that thousands of genes expressed in rice leaves respond significantly to dynamic changes in ambient temperatures under natural fluctuating conditions. This should serve as a wake-up call for plant researchers using fixed-temperature conditions in growth chambers. This chapter discusses the processes involved and provides longitudinal perspectives on field transcriptome analysis.


Field transcriptome Fluctuating environments Statistical modeling  Crop science Molecular biology 



This work was supported by grants from MAFF, Japan (Genomics for Agricultural Innovation, RTR-1005; Genomics-based Technology for Agricultural Improvement, PFT-1001), to TI.


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Laboratory of Plant Breeding & Genetics, Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life SciencesThe University of TokyoTokyoJapan

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