Noise and robustness in phyllotaxis

PLoS Computational Biology

Volumn 8, Issue 2, 2012, Pages

  Mirabet, Vincent ^a   Besnard, Fabrice ^a   Vernoux, Teva ^a   Boudaoud, Arezki ^a  

^a UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; STOCHASTIC SYSTEMS;

FIBONACCI SEQUENCES; LATERAL ORGANS; MATHEMATICAL STRUCTURE; PHYSICAL SYSTEMS; PLANT HORMONE AUXIN; REGULAR PATTERNS; SELF ORGANIZATIONS; STOCHASTICITY; STOCHASTICS; VASCULAR PLANT;

DEFECTS;

AUXIN; INDOLEACETIC ACID DERIVATIVE; VEGETABLE PROTEIN;

ALGORITHM; ARABIDOPSIS; ARTICLE; CELL INTERACTION; CONTROLLED STUDY; FEEDBACK SYSTEM; MATHEMATICAL COMPUTING; PHENOTYPIC VARIATION; PLANT DEVELOPMENT; PLANT STEM; POLARIZATION; PREDICTION; PRIMORDIUM; PROCESS DEVELOPMENT; SHOOT GROWTH; SIGNAL NOISE RATIO; SIMULATION; STOCHASTIC MODEL; STRUCTURE ANALYSIS; THEORETICAL STUDY; BIOLOGICAL MODEL; BIOLOGY; CHEMISTRY; DIFFUSION; FLOWER; METABOLISM; METHODOLOGY; PHYSIOLOGY; PLANT; PLANT LEAF; REPRODUCIBILITY; SIGNAL TRANSDUCTION; STATISTICS; THEORETICAL MODEL; TRANSPORT AT THE CELLULAR LEVEL;

TRACHEOPHYTA;

ALGORITHMS; ARABIDOPSIS; BIOLOGICAL TRANSPORT; COMPUTATIONAL BIOLOGY; DIFFUSION; FLOWERS; INDOLEACETIC ACIDS; MODELS, BIOLOGICAL; MODELS, THEORETICAL; PLANT LEAVES; PLANT PROTEINS; PLANT SHOOTS; PLANT STEMS; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION; STOCHASTIC PROCESSES;

EID: 84861158459     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002389     Document Type: Article

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