Document Detail

A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes.
MedLine Citation:
PMID:  21247905     Owner:  NLM     Status:  MEDLINE    
BACKGROUND AND AIMS: Although quantitative trait loci (QTL) analysis of yield-related traits for rice has developed rapidly, crop models using genotype information have been proposed only relatively recently. As a first step towards a generic genotype-phenotype model, we present here a three-dimensional functional-structural plant model (FSPM) of rice, in which some model parameters are controlled by functions describing the effect of main-effect and epistatic QTLs.
METHODS: The model simulates the growth and development of rice based on selected ecophysiological processes, such as photosynthesis (source process) and organ formation, growth and extension (sink processes). It was devised using GroIMP, an interactive modelling platform based on the Relational Growth Grammar formalism (RGG). RGG rules describe the course of organ initiation and extension resulting in final morphology. The link between the phenotype (as represented by the simulated rice plant) and the QTL genotype was implemented via a data interface between the rice FSPM and the QTLNetwork software, which computes predictions of QTLs from map data and measured trait data.
KEY RESULTS: Using plant height and grain yield, it is shown how QTL information for a given trait can be used in an FSPM, computing and visualizing the phenotypes of different lines of a mapping population. Furthermore, we demonstrate how modification of a particular trait feeds back on the entire plant phenotype via the physiological processes considered.
CONCLUSIONS: We linked a rice FSPM to a quantitative genetic model, thereby employing QTL information to refine model parameters and visualizing the dynamics of development of the entire phenotype as a result of ecophysiological processes, including the trait(s) for which genetic information is available. Possibilities for further extension of the model, for example for the purposes of ideotype breeding, are discussed.
Lifeng Xu; Michael Henke; Jun Zhu; Winfried Kurth; Gerhard Buck-Sorlin
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-01-18
Journal Detail:
Title:  Annals of botany     Volume:  107     ISSN:  1095-8290     ISO Abbreviation:  Ann. Bot.     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-04-18     Completed Date:  2011-07-19     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  0372347     Medline TA:  Ann Bot     Country:  England    
Other Details:
Languages:  eng     Pagination:  817-28     Citation Subset:  IM    
Institute of Bioinformatics, Zhejiang University, Hangzhou, PR China.
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MeSH Terms
Computer Simulation
Crops, Agricultural / anatomy & histology,  genetics,  growth & development,  physiology*
Epistasis, Genetic
Genes, Plant
Genetic Association Studies
Models, Biological*
Oryza sativa / anatomy & histology,  genetics,  growth & development,  physiology*
Plant Leaves / anatomy & histology,  genetics,  growth & development
Plant Stems / anatomy & histology,  genetics,  growth & development
Quantitative Trait Loci

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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