PoplarV1, Main, Exploration, bibRecord, 001A29

A computational framework for mapping the timing of vegetative phase change.

Identifieur interne : 001A29 ( Main/Exploration ); précédent : 001A28; suivant : 001A30

A computational framework for mapping the timing of vegetative phase change.

Source :

The New phytologist [ 1469-8137 ] ; 2016.

RBID : pubmed:26958803

Descripteurs français

English descriptors

KwdEn :
- Chromosome Segregation (genetics), Computer Simulation (MeSH), Crosses, Genetic (MeSH), Inheritance Patterns (genetics), Models, Theoretical (MeSH), Plant Development (genetics), Plant Stems (growth & development), Polymorphism, Single Nucleotide (genetics), Populus (genetics), Populus (growth & development), Quantitative Trait Loci (genetics), Rain (MeSH), Temperature (MeSH), Time Factors (MeSH).
MESH :
- genetics : Chromosome Segregation, Inheritance Patterns, Plant Development, Polymorphism, Single Nucleotide, Populus, Quantitative Trait Loci.
- growth & development : Plant Stems, Populus.
- Computer Simulation, Crosses, Genetic, Models, Theoretical, Rain, Temperature, Time Factors.

Abstract

Phase change plays a prominent role in determining the form of growth and development. Although considerable attention has been focused on identifying the regulatory control mechanisms of phase change, a detailed understanding of the genetic architecture of this phenomenon is still lacking. We address this issue by deriving a computational model. The model is founded on the framework of functional mapping aimed at characterizing the interplay between quantitative trait loci (QTLs) and development through biologically meaningful mathematical equations. A multiphasic growth equation was implemented into functional mapping, which, via a series of hypothesis tests, allows the quantification of how QTLs regulate the timing and pattern of vegetative phase transition between independently regulated, temporally coordinated processes. The model was applied to analyze stem radial growth data of an interspecific hybrid family derived from two Populus species during the first 24 yr of ontogeny. Several key QTLs related to phase change have been characterized, most of which were observed to be in the adjacent regions of candidate genes. The identification of phase transition QTLs, whose expression is regulated by endogenous and environmental signals, may enhance our understanding of the evolution of development in changing environments.

DOI: 10.1111/nph.13907
PubMed: 26958803

Affiliations:

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<term>Models, Theoretical (MeSH)</term>
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<term>Locus de caractère quantitatif (génétique)</term>
<term>Modes de transmission héréditaire (génétique)</term>
<term>Modèles théoriques (MeSH)</term>
<term>Pluie (MeSH)</term>
<term>Polymorphisme de nucléotide simple (génétique)</term>
<term>Populus (croissance et développement)</term>
<term>Populus (génétique)</term>
<term>Simulation numérique (MeSH)</term>
<term>Ségrégation des chromosomes (génétique)</term>
<term>Température (MeSH)</term>
<term>Tiges de plante (croissance et développement)</term>
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<term>Locus de caractère quantitatif</term>
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<term>Polymorphisme de nucléotide simple</term>
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<term>Ségrégation des chromosomes</term>
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<front><div type="abstract" xml:lang="en">Phase change plays a prominent role in determining the form of growth and development. Although considerable attention has been focused on identifying the regulatory control mechanisms of phase change, a detailed understanding of the genetic architecture of this phenomenon is still lacking. We address this issue by deriving a computational model. The model is founded on the framework of functional mapping aimed at characterizing the interplay between quantitative trait loci (QTLs) and development through biologically meaningful mathematical equations. A multiphasic growth equation was implemented into functional mapping, which, via a series of hypothesis tests, allows the quantification of how QTLs regulate the timing and pattern of vegetative phase transition between independently regulated, temporally coordinated processes. The model was applied to analyze stem radial growth data of an interspecific hybrid family derived from two Populus species during the first 24 yr of ontogeny. Several key QTLs related to phase change have been characterized, most of which were observed to be in the adjacent regions of candidate genes. The identification of phase transition QTLs, whose expression is regulated by endogenous and environmental signals, may enhance our understanding of the evolution of development in changing environments.</div>
</front>
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<Abstract><AbstractText>Phase change plays a prominent role in determining the form of growth and development. Although considerable attention has been focused on identifying the regulatory control mechanisms of phase change, a detailed understanding of the genetic architecture of this phenomenon is still lacking. We address this issue by deriving a computational model. The model is founded on the framework of functional mapping aimed at characterizing the interplay between quantitative trait loci (QTLs) and development through biologically meaningful mathematical equations. A multiphasic growth equation was implemented into functional mapping, which, via a series of hypothesis tests, allows the quantification of how QTLs regulate the timing and pattern of vegetative phase transition between independently regulated, temporally coordinated processes. The model was applied to analyze stem radial growth data of an interspecific hybrid family derived from two Populus species during the first 24 yr of ontogeny. Several key QTLs related to phase change have been characterized, most of which were observed to be in the adjacent regions of candidate genes. The identification of phase transition QTLs, whose expression is regulated by endogenous and environmental signals, may enhance our understanding of the evolution of development in changing environments.</AbstractText>
<CopyrightInformation>© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.</CopyrightInformation>
</Abstract>
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<ForeName>Meng</ForeName>
<Initials>M</Initials>
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<ForeName>Libo</ForeName>
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A computational framework for mapping the timing of vegetative phase change.

A computational framework for mapping the timing of vegetative phase change.

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