4.4 Article

The influence of cytokinin-auxin cross-regulation on cell-fate determination in Arabidopsis thaliana root development

期刊

JOURNAL OF THEORETICAL BIOLOGY
卷 283, 期 1, 页码 152-167

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2011.05.011

关键词

Lateral root development; Cytokinin-auxin cross-regulation; Mathematical modelling

资金

  1. Engineering and Sciences Research Council as part of the CISB
  2. Biotechnology and Biological Research Council as part of the CISB
  3. BBSRC [BB/H020314/1, BB/D019613/1] Funding Source: UKRI
  4. Biotechnology and Biological Sciences Research Council [BB/H020314/1, BB/D019613/1] Funding Source: researchfish

向作者/读者索取更多资源

Root growth and development in Arabidopsis thaliana are sustained by a specialised zone termed the meristem, which contains a population of dividing and differentiating cells that are functionally analogous to a stem cell niche in animals. The hormones auxin and cytokinin control meristem size antagonistically. Local accumulation of auxin promotes cell division and the initiation of a lateral root primordium. By contrast, high cytokinin concentrations disrupt the regular pattern of divisions that characterises lateral root development, and promote differentiation. The way in which the hormones interact is controlled by a genetic regulatory network. In this paper, we propose a deterministic mathematical model to describe this network and present model simulations that reproduce the experimentally observed effects of cytokinin on the expression of auxin regulated genes. We show how auxin response genes and auxin efflux transporters may be affected by the presence of cytokinin. We also analyse and compare the responses of the hormones auxin and cytokinin to changes in their supply with the responses obtained by genetic mutations of SHY2, which encodes a protein that plays a key role in balancing cytokinin and auxin regulation of meristem size. We show that although shy2 mutations can qualitatively reproduce the effect of varying auxin and cytokinin supply on their response genes, some elements of the network respond differently to changes in hormonal supply and to genetic mutations, implying a different, general response of the network. We conclude that an analysis based on the ratio between these two hormones may be misleading and that a mathematical model can serve as a useful tool for stimulate further experimental work by predicting the response of the network to changes in hormone levels and to other genetic mutations. (C) 2011 Elsevier Ltd. All rights reserved.

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