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作为模式生成机制的调控运输:叶序及其他方面的能力

Regulated transport as a mechanism for pattern generation: capabilities for phyllotaxis and beyond.

作者信息

Sahlin Patrik, Söderberg Bo, Jönsson Henrik

机构信息

Computational Biology and Biological Physics, Department of Theoretical Physics, Lund University, Sölvegatan 14A, SE-223 62 Lund, Sweden.

出版信息

J Theor Biol. 2009 May 7;258(1):60-70. doi: 10.1016/j.jtbi.2009.01.019. Epub 2009 Jan 31.

Abstract

Large-scale pattern formation is a frequently occurring phenomenon in biological organisms, and several local interaction rules for generating such patterns have been suggested. A mechanism driven by feedback between the plant hormone auxin and its polarly localized transport mediator PINFORMED1 has been proposed as a model for phyllotactic patterns in plants. It has been shown to agree with current biological experiments at a molecular level as well as with respect to the resulting patterns. We present a thorough investigation of variants of models based on auxin-regulated polarized transport and use analytical and numerical tools to derive requirements for these models to drive spontaneous pattern formation. We find that auxin concentrations in neighboring cells can feed back either on exocytosis or endocytosis and still produce patterns. In agreement with mutant experiments, the active cellular efflux is shown to be more important for pattern capabilities as compared to active influx. We also find that the feedback must originate from neighboring cells rather than from neighboring walls and that intracellular competition for the transport mediator is required for patterning. The importance of model parameters is investigated, especially regarding robustness to perturbations of experimentally estimated parameter values. Finally, the regulated transport mechanism is shown to be able to generate Turing patterns of various types.

摘要

大规模模式形成是生物有机体中经常出现的现象,并且已经提出了几种用于生成此类模式的局部相互作用规则。一种由植物激素生长素与其极性定位的运输介质PINFORMED1之间的反馈驱动的机制已被提议作为植物叶序模式的模型。已证明它在分子水平以及由此产生的模式方面与当前的生物学实验一致。我们对基于生长素调节的极性运输的模型变体进行了深入研究,并使用分析和数值工具来推导这些模型驱动自发模式形成的要求。我们发现相邻细胞中的生长素浓度可以对外排或内吞产生反馈,并且仍然产生模式。与突变实验一致,与主动内流相比,主动细胞外排对模式形成能力更为重要。我们还发现反馈必须来自相邻细胞而不是相邻壁,并且模式形成需要细胞内对运输介质的竞争。研究了模型参数的重要性,特别是关于对实验估计参数值扰动的鲁棒性。最后,调节运输机制被证明能够产生各种类型的图灵模式。

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