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A developmental basis for stochasticity in floral organ numbers

Stochasticity ubiquitously inevitably appears at all levels from molecular traits to multicellular, morphological traits. Intrinsic stochasticity in biochemical reactions underlies the typical intercellular distributions of chemical concentrations, e.g., morphogen gradients, which can give rise to s...

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Autores principales: Kitazawa, Miho S., Fujimoto, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217355/
https://www.ncbi.nlm.nih.gov/pubmed/25404932
http://dx.doi.org/10.3389/fpls.2014.00545
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author Kitazawa, Miho S.
Fujimoto, Koichi
author_facet Kitazawa, Miho S.
Fujimoto, Koichi
author_sort Kitazawa, Miho S.
collection PubMed
description Stochasticity ubiquitously inevitably appears at all levels from molecular traits to multicellular, morphological traits. Intrinsic stochasticity in biochemical reactions underlies the typical intercellular distributions of chemical concentrations, e.g., morphogen gradients, which can give rise to stochastic morphogenesis. While the universal statistics and mechanisms underlying the stochasticity at the biochemical level have been widely analyzed, those at the morphological level have not. Such morphological stochasticity is found in foral organ numbers. Although the floral organ number is a hallmark of floral species, it can distribute stochastically even within an individual plant. The probability distribution of the floral organ number within a population is usually asymmetric, i.e., it is more likely to increase rather than decrease from the modal value, or vice versa. We combined field observations, statistical analysis, and mathematical modeling to study the developmental basis of the variation in floral organ numbers among 50 species mainly from Ranunculaceae and several other families from core eudicots. We compared six hypothetical mechanisms and found that a modified error function reproduced much of the asymmetric variation found in eudicot floral organ numbers. The error function is derived from mathematical modeling of floral organ positioning, and its parameters represent measurable distances in the floral bud morphologies. The model predicts two developmental sources of the organ-number distributions: stochastic shifts in the expression boundaries of homeotic genes and a semi-concentric (whorled-type) organ arrangement. Other models species- or organ-specifically reproduced different types of distributions that reflect different developmental processes. The organ-number variation could be an indicator of stochasticity in organ fate determination and organ positioning.
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spelling pubmed-42173552014-11-17 A developmental basis for stochasticity in floral organ numbers Kitazawa, Miho S. Fujimoto, Koichi Front Plant Sci Plant Science Stochasticity ubiquitously inevitably appears at all levels from molecular traits to multicellular, morphological traits. Intrinsic stochasticity in biochemical reactions underlies the typical intercellular distributions of chemical concentrations, e.g., morphogen gradients, which can give rise to stochastic morphogenesis. While the universal statistics and mechanisms underlying the stochasticity at the biochemical level have been widely analyzed, those at the morphological level have not. Such morphological stochasticity is found in foral organ numbers. Although the floral organ number is a hallmark of floral species, it can distribute stochastically even within an individual plant. The probability distribution of the floral organ number within a population is usually asymmetric, i.e., it is more likely to increase rather than decrease from the modal value, or vice versa. We combined field observations, statistical analysis, and mathematical modeling to study the developmental basis of the variation in floral organ numbers among 50 species mainly from Ranunculaceae and several other families from core eudicots. We compared six hypothetical mechanisms and found that a modified error function reproduced much of the asymmetric variation found in eudicot floral organ numbers. The error function is derived from mathematical modeling of floral organ positioning, and its parameters represent measurable distances in the floral bud morphologies. The model predicts two developmental sources of the organ-number distributions: stochastic shifts in the expression boundaries of homeotic genes and a semi-concentric (whorled-type) organ arrangement. Other models species- or organ-specifically reproduced different types of distributions that reflect different developmental processes. The organ-number variation could be an indicator of stochasticity in organ fate determination and organ positioning. Frontiers Media S.A. 2014-11-03 /pmc/articles/PMC4217355/ /pubmed/25404932 http://dx.doi.org/10.3389/fpls.2014.00545 Text en Copyright © 2014 Kitazawa and Fujimoto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Kitazawa, Miho S.
Fujimoto, Koichi
A developmental basis for stochasticity in floral organ numbers
title A developmental basis for stochasticity in floral organ numbers
title_full A developmental basis for stochasticity in floral organ numbers
title_fullStr A developmental basis for stochasticity in floral organ numbers
title_full_unstemmed A developmental basis for stochasticity in floral organ numbers
title_short A developmental basis for stochasticity in floral organ numbers
title_sort developmental basis for stochasticity in floral organ numbers
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217355/
https://www.ncbi.nlm.nih.gov/pubmed/25404932
http://dx.doi.org/10.3389/fpls.2014.00545
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