Deciphering and prediction of plant dynamics under field conditions.

Abstract:

:Elucidation of plant dynamics under fluctuating natural environments is a challenging goal in plant physiology. Recently, using a computer statistics integrating a series of transcriptome data of field-grown rice leaves during an entire crop season and several corresponding environmental data such as solar radiation and ambient temperature, most parts of transcriptome have been modeled. This reveals the detailed contributions of developmental timing, circadian clocks and each environmental factor to transcriptome dynamics in the field and can predict transcriptome dynamics under given environments. Furthermore, some traits such as flowering time in natural environments have been shown to be predicted by mathematical models based on gene-networks parameterized with data obtained in the laboratory, and phenology models refined by knowledge of molecular genetics. New molecular physiology is beginning in plant science.

journal_name

Curr Opin Plant Biol

authors

Izawa T

doi

10.1016/j.pbi.2015.02.003

subject

Has Abstract

pub_date

2015-04-01 00:00:00

pages

87-92

eissn

1369-5266

issn

1879-0356

pii

S1369-5266(15)00023-0

journal_volume

24

pub_type

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