Literature DB >> 19922810

From ABC genes to regulatory networks, epigenetic landscapes and flower morphogenesis: making biological sense of theoretical approaches.

Elena R Alvarez-Buylla1, Eugenio Azpeitia, Rafael Barrio, Mariana Benítez, Pablo Padilla-Longoria.   

Abstract

The ABC model postulates that expression combinations of three classes of genes (A, B and C) specify the four floral organs at early stages of flower development. This classic model provides a solid framework to study flower development and has been the foundation for multiple studies in different plant species, as well as for new evolutionary hypotheses. Nevertheless, it has been shown that in spite of being necessary, these three gene classes are not sufficient for flower organ specification. Rather, flower organ specification depends on complex interactions of several genes, and probably other non-genetic factors. Being useful to study systems of complex interactions, mathematical and computational models have enlightened the origin of the A, B and C stereotyped and robust expression patterns and the process of early flower morphogenesis. Here, we present a brief introduction to basic modeling concepts and techniques and review the results that these models have rendered for the particular case of the Arabidopsis thaliana flower organ specification. One of the main results is the uncovering of a robust functional module that is sufficient to recover the gene configurations characterizing flower organ primordia. Another key result is that the temporal sequence with which such gene configurations are attained may be recovered only by modeling the aforementioned functional module as a noisy or stochastic system. Finally, modeling approaches enable testable predictions regarding the role of non-genetic factors (noise, mechano-elastic forces, etc.) in development. These predictions, along with some perspectives for future work, are also reviewed and discussed. Copyright 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19922810     DOI: 10.1016/j.semcdb.2009.11.010

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  23 in total

1.  Integrating two patterning processes in the flower.

Authors:  Simon van Mourik; Aalt D J van Dijk; Gerco C Angenent; Roeland M H Merk; Jaap Molenaar
Journal:  Plant Signal Behav       Date:  2012-05-14

Review 2.  Floral Organogenesis: When Knowing Your ABCs Is Not Enough.

Authors:  Bennett Thomson; Beibei Zheng; Frank Wellmer
Journal:  Plant Physiol       Date:  2016-10-27       Impact factor: 8.340

3.  Exploring the ontogenetic scaling hypothesis during the diversification of pollination syndromes in Caiophora (Loasaceae, subfam. Loasoideae).

Authors:  Marina M Strelin; Santiago Benitez-Vieyra; Juan Fornoni; Christian Peter Klingenberg; Andrea A Cocucci
Journal:  Ann Bot       Date:  2016-04-06       Impact factor: 4.357

Review 4.  Understanding the role of floral development in the evolution of angiosperm flowers: clarifications from a historical and physico-dynamic perspective.

Authors:  Louis Ronse De Craene
Journal:  J Plant Res       Date:  2018-03-27       Impact factor: 2.629

5.  B-function expression in the flower center underlies the homeotic phenotype of Lacandonia schismatica (Triuridaceae).

Authors:  Elena R Álvarez-Buylla; Barbara A Ambrose; Eduardo Flores-Sandoval; Marie Englund; Adriana Garay-Arroyo; Berenice García-Ponce; Eduardo de la Torre-Bárcena; Silvia Espinosa-Matías; Esteban Martínez; Alma Piñeyro-Nelson; Peter Engström; Elliot M Meyerowitz
Journal:  Plant Cell       Date:  2010-11-30       Impact factor: 11.277

6.  Flower development as an interplay between dynamical physical fields and genetic networks.

Authors:  Rafael Ángel Barrio; Aurora Hernández-Machado; C Varea; José Roberto Romero-Arias; Elena Alvarez-Buylla
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

7.  Efficient QTL detection of flowering date in a soybean RIL population using the novel restricted two-stage multi-locus GWAS procedure.

Authors:  Liyuan Pan; Jianbo He; Tuanjie Zhao; Guangnan Xing; Yufeng Wang; Deyue Yu; Shouyi Chen; Junyi Gai
Journal:  Theor Appl Genet       Date:  2018-08-30       Impact factor: 5.699

8.  Cell patterns emerge from coupled chemical and physical fields with cell proliferation dynamics: the Arabidopsis thaliana root as a study system.

Authors:  Rafael A Barrio; José Roberto Romero-Arias; Marco A Noguez; Eugenio Azpeitia; Elizabeth Ortiz-Gutiérrez; Valeria Hernández-Hernández; Yuriria Cortes-Poza; Elena R Álvarez-Buylla
Journal:  PLoS Comput Biol       Date:  2013-05-02       Impact factor: 4.475

9.  Vertebrate paralogous MEF2 genes: origin, conservation, and evolution.

Authors:  Wenwu Wu; Stefan de Folter; Xia Shen; Wenqian Zhang; Shiheng Tao
Journal:  PLoS One       Date:  2011-03-04       Impact factor: 3.240

10.  Evolving sensitivity balances Boolean Networks.

Authors:  Jamie X Luo; Matthew S Turner
Journal:  PLoS One       Date:  2012-05-07       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.