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Pattern identification and characterization reveal permutations of organs as a key genetically controlled property of post-meristematic phyllotaxis

Guédon, Yann ; Refahi, Yassin ; Besnard, Fabrice ; Farcot, Etienne ; Godin, Christophe ; Vernoux, Teva; Godin, Christophe (Editor)

Journal of theoretical biology, 2013, Vol.338, pp.94-110 [Tạp chí có phản biện]

ISSN: 0022-5193 ; E-ISSN: 1095-8541 ; DOI: 10.1016/j.jtbi.2013.07.026

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  • Nhan đề:
    Pattern identification and characterization reveal permutations of organs as a key genetically controlled property of post-meristematic phyllotaxis
  • Tác giả: Guédon, Yann ; Refahi, Yassin ; Besnard, Fabrice ; Farcot, Etienne ; Godin, Christophe ; Vernoux, Teva
  • Godin, Christophe (Editor)
  • Chủ đề: Computer Science ; Modeling and Simulation ; Mixture Model ; Variable-Order Markov Chain ; Hidden Markov Model ; Combinatorial Mode ; Plant Phenotyping ; Biology ; Computer Science
  • Là 1 phần của: Journal of theoretical biology, 2013, Vol.338, pp.94-110
  • Mô tả: Abstract In vascular plants, the arrangement of organs around the stem generates geometric patterns called phyllotaxis. In the model plant, Arabidopsis thaliana, as in the majority of species, single organs are initiated successively at a divergence angle from the previous organ close to the canonical angle of 137.5°, producing a Fibonacci spiral. Given that little is known about the robustness of these geometric arrangements, we undertook to characterize phyllotaxis by measuring divergence angles between organs along the stems of wild-type and specific mutant plants with obvious defects in phyllotaxis. Sequences of measured divergence angles exhibit segments of non-canonical angles in both genotypes, albeit to a far greater extent in the mutant. We thus designed a pipeline of methods for analyzing these perturbations. The latent structure models used in this pipeline combine a non-observable model representing perturbation patterns (either a variable-order Markov chain or...
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 0022-5193 ; E-ISSN: 1095-8541 ; DOI: 10.1016/j.jtbi.2013.07.026

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