Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree

Floral induction (FI) in shoot apical meristems (SAM) is assumed to be triggered by antagonistic endogenous signals. In fruit trees, FI occurs in some SAM only and is determined by activating and inhibiting signals originating from leaves and fruit, respectively. We developed a model (SigFlow) to quantify on 3D structures the combined impact of such signals and distances at which they act on SAM. Signal transport was simulated considering a signal 'attenuation' parameter, whereas SAM fate was determined by probability functions depending on signal quantities. Model behaviour was assessed on simple structures before being calibrated and validated on a unique experimental dataset of 3D digitized apple trees with contrasted crop loads and subjected to leaf and fruit removal at different scales of tree organization. Model parameter estimations and comparisons of two signal combination functions led us to formulate new assumptions on the mechanisms involved: (i) the activating signal could be transported at shorter distances than the inhibiting one (roughly 50 cm vs 1 m) (ii) both signals jointly act to determine FI with SAM being more sensitive to inhibiting signal than activating one. Finally, the genericity of the model is promising to further understand the physiological and architectural determinisms of FI in plants.

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Main Authors: Belhassine, Fares, Fumey, Damien, Chopard, Jérôme, Pradal, Christophe, Martinez, Sébastien, Costes, Evelyne, Pallas, Benoît
Format: article biblioteca
Language:eng
Subjects:F60 - Physiologie et biochimie végétale, U10 - Informatique, mathématiques et statistiques, Malus, modèle mathématique, floraison, signal, modèle végétal, http://aims.fao.org/aos/agrovoc/c_4553, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_2992, http://aims.fao.org/aos/agrovoc/c_50143, http://aims.fao.org/aos/agrovoc/c_36583,
Online Access:http://agritrop.cirad.fr/596361/
http://agritrop.cirad.fr/596361/1/s41598-020-69861-8.pdf
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spelling dig-cirad-fr-5963612024-01-29T02:59:12Z http://agritrop.cirad.fr/596361/ http://agritrop.cirad.fr/596361/ Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree. Belhassine Fares, Fumey Damien, Chopard Jérôme, Pradal Christophe, Martinez Sébastien, Costes Evelyne, Pallas Benoît. 2020. Scientific Reports, 10:13085, 14 p.https://doi.org/10.1038/s41598-020-69861-8 <https://doi.org/10.1038/s41598-020-69861-8> Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree Belhassine, Fares Fumey, Damien Chopard, Jérôme Pradal, Christophe Martinez, Sébastien Costes, Evelyne Pallas, Benoît eng 2020 Scientific Reports F60 - Physiologie et biochimie végétale U10 - Informatique, mathématiques et statistiques Malus modèle mathématique floraison signal modèle végétal http://aims.fao.org/aos/agrovoc/c_4553 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_50143 http://aims.fao.org/aos/agrovoc/c_36583 Floral induction (FI) in shoot apical meristems (SAM) is assumed to be triggered by antagonistic endogenous signals. In fruit trees, FI occurs in some SAM only and is determined by activating and inhibiting signals originating from leaves and fruit, respectively. We developed a model (SigFlow) to quantify on 3D structures the combined impact of such signals and distances at which they act on SAM. Signal transport was simulated considering a signal 'attenuation' parameter, whereas SAM fate was determined by probability functions depending on signal quantities. Model behaviour was assessed on simple structures before being calibrated and validated on a unique experimental dataset of 3D digitized apple trees with contrasted crop loads and subjected to leaf and fruit removal at different scales of tree organization. Model parameter estimations and comparisons of two signal combination functions led us to formulate new assumptions on the mechanisms involved: (i) the activating signal could be transported at shorter distances than the inhibiting one (roughly 50 cm vs 1 m) (ii) both signals jointly act to determine FI with SAM being more sensitive to inhibiting signal than activating one. Finally, the genericity of the model is promising to further understand the physiological and architectural determinisms of FI in plants. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/596361/1/s41598-020-69861-8.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1038/s41598-020-69861-8 10.1038/s41598-020-69861-8 info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-020-69861-8 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/s41598-020-69861-8
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques
Malus
modèle mathématique
floraison
signal
modèle végétal
http://aims.fao.org/aos/agrovoc/c_4553
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_50143
http://aims.fao.org/aos/agrovoc/c_36583
F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques
Malus
modèle mathématique
floraison
signal
modèle végétal
http://aims.fao.org/aos/agrovoc/c_4553
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_50143
http://aims.fao.org/aos/agrovoc/c_36583
spellingShingle F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques
Malus
modèle mathématique
floraison
signal
modèle végétal
http://aims.fao.org/aos/agrovoc/c_4553
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_50143
http://aims.fao.org/aos/agrovoc/c_36583
F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques
Malus
modèle mathématique
floraison
signal
modèle végétal
http://aims.fao.org/aos/agrovoc/c_4553
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_50143
http://aims.fao.org/aos/agrovoc/c_36583
Belhassine, Fares
Fumey, Damien
Chopard, Jérôme
Pradal, Christophe
Martinez, Sébastien
Costes, Evelyne
Pallas, Benoît
Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
description Floral induction (FI) in shoot apical meristems (SAM) is assumed to be triggered by antagonistic endogenous signals. In fruit trees, FI occurs in some SAM only and is determined by activating and inhibiting signals originating from leaves and fruit, respectively. We developed a model (SigFlow) to quantify on 3D structures the combined impact of such signals and distances at which they act on SAM. Signal transport was simulated considering a signal 'attenuation' parameter, whereas SAM fate was determined by probability functions depending on signal quantities. Model behaviour was assessed on simple structures before being calibrated and validated on a unique experimental dataset of 3D digitized apple trees with contrasted crop loads and subjected to leaf and fruit removal at different scales of tree organization. Model parameter estimations and comparisons of two signal combination functions led us to formulate new assumptions on the mechanisms involved: (i) the activating signal could be transported at shorter distances than the inhibiting one (roughly 50 cm vs 1 m) (ii) both signals jointly act to determine FI with SAM being more sensitive to inhibiting signal than activating one. Finally, the genericity of the model is promising to further understand the physiological and architectural determinisms of FI in plants.
format article
topic_facet F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques
Malus
modèle mathématique
floraison
signal
modèle végétal
http://aims.fao.org/aos/agrovoc/c_4553
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_50143
http://aims.fao.org/aos/agrovoc/c_36583
author Belhassine, Fares
Fumey, Damien
Chopard, Jérôme
Pradal, Christophe
Martinez, Sébastien
Costes, Evelyne
Pallas, Benoît
author_facet Belhassine, Fares
Fumey, Damien
Chopard, Jérôme
Pradal, Christophe
Martinez, Sébastien
Costes, Evelyne
Pallas, Benoît
author_sort Belhassine, Fares
title Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
title_short Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
title_full Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
title_fullStr Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
title_full_unstemmed Modelling transport of inhibiting and activating signals and their combined effects on floral induction: Application to apple tree
title_sort modelling transport of inhibiting and activating signals and their combined effects on floral induction: application to apple tree
url http://agritrop.cirad.fr/596361/
http://agritrop.cirad.fr/596361/1/s41598-020-69861-8.pdf
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