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Gene networks controlling A rabidopsis thaliana flower development
Author(s) -
Ó'Maoiléidigh Diarmuid Seosamh,
Graciet Emmanuelle,
Wellmer Frank
Publication year - 2014
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.12444
Subject(s) - biology , arabidopsis thaliana , morphogenesis , gene , identification (biology) , computational biology , gene regulatory network , function (biology) , evolutionary biology , plant development , genetics , gene expression , botany , mutant
Summary The formation of flowers is one of the main models for studying the regulatory mechanisms that underlie plant development and evolution. Over the past three decades, extensive genetic and molecular analyses have led to the identification of a large number of key floral regulators and to detailed insights into how they control flower morphogenesis. In recent years, genome‐wide approaches have been applied to obtaining a global view of the gene regulatory networks underlying flower formation. Furthermore, mathematical models have been developed that can simulate certain aspects of this process and drive further experimentation. Here, we review some of the main findings made in the field of Arabidopsis thaliana flower development, with an emphasis on recent advances. In particular, we discuss the activities of the floral organ identity factors, which are pivotal for the specification of the different types of floral organs, and explore the experimental avenues that may elucidate the molecular mechanisms and gene expression programs through which these master regulators of flower development act.ContentsSummary 16 I. Introduction 16 II. Initiation of flower development 17 III. Specification of floral organs: the ABCE model 18 IV. Floral patterning: activating the floral organ identity genes in specific domains 19 V. Mechanistic insights into floral organ identity factor function 21 VI. Gene expression programs controlled by the floral organ identity factors 23 VII. Network modeling 26 VIII. Conclusions 26Acknowledgements 27References 27