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.
KeywordsField 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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