NDLI: Challenges in studies on flowering time: interfaces between phenological research and the molecular network of flowering genes

Content Provider	Springer Nature Link
Author	Kobayashi, Masaki J. Shimizu, Kentaro K.
Copyright Year	2011
Abstract	Flowering time is a well-studied subject in ecology, evolution and molecular biology. Long-term phenological studies have shown relationships between flowering time and environmental and endogenous factors in many species. In contrast, molecular studies using model plants have revealed a complex regulatory network of flowering. We propose that flowering would be a model trait for the integrated study of ecology, evolution and molecular biology. We introduce briefly the flowering regulatory pathways of Arabidopsis thaliana, followed by molecular techniques such as transgenic manipulation, quantitative real-time PCR and detection of differentially expressed genes that could facilitate the study of ‘nonmodel’ species of ecological interest but with little available genome information. Application of the flowering gene network to wild species will be illustrated by two examples: modeling and prediction of the expression of flowering genes in Arabidopsis halleri, and the latitudinal cline of bud set and cessation in Populus. Finally, we discuss the challenges in integrating knowledge of the regulatory network on flowering into ecologically unique flowering phenomena such as synchronous intermittent mass flowering—the topic of this special issue.
Starting Page	161
Ending Page	172
Page Count	12
File Format	PDF
ISSN	09123814
Journal	Ecological Research
Volume Number	28
Issue Number	2
e-ISSN	14401703
Language	English
Publisher	Springer Japan
Publisher Date	2011-05-10
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Phenology Flowering time Mass flowering General flowering Dipterocarpaceae Ecology Plant Sciences Zoology Evolutionary Biology Behavioural Sciences Forestry
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics

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