A conceptual framework for mapping quantitative trait Loci regulating ontogenetic allometry

Although ontogenetic changes in body shape and its associated allometry has been studied for over a century, essentially nothing is known about their underlying genetic and developmental mechanisms. One of the reasons for this ignorance is the unavailability of a conceptual framework to formulate th...

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Bibliographic Details
Published in:PloS one 2007-11, Vol.2 (11), p.e1245-e1245
Main Authors: Li, Hongying, Huang, Zhongwen, Gai, Junyi, Wu, Song, Zeng, Yanru, Li, Qin, Wu, Rongling
Format: Article
Language:English
Subjects:
Algorithms
Allometry
Analysis
Animal behavior
Biomass
Computer Simulation
Data analysis
Data collection
Data processing
Dimensional analysis
Experimental design
Gene loci
Gene mapping
Genetics
Genetics and Genomics/Complex Traits
Genomes
Genotype & phenotype
Gerridae
Glycine max
Information management
Likelihood Functions
Loci
Machinery
Machinery and equipment
Mapping
Mathematical models
Mathematics/Statistics
Metabolism
Models, Genetic
Ontogeny
Parameter estimation
Plant Biology
Power
Quantitative genetics
Quantitative Trait Loci
Simulation
Soybeans
Statistical analysis
Statistical models
Studies
Trends
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Summary:Although ontogenetic changes in body shape and its associated allometry has been studied for over a century, essentially nothing is known about their underlying genetic and developmental mechanisms. One of the reasons for this ignorance is the unavailability of a conceptual framework to formulate the experimental design for data collection and statistical models for data analyses. We developed a framework model for unraveling the genetic machinery for ontogenetic changes of allometry. The model incorporates the mathematical aspects of ontogenetic growth and allometry into a maximum likelihood framework for quantitative trait locus (QTL) mapping. As a quantitative platform, the model allows for the testing of a number of biologically meaningful hypotheses to explore the pleiotropic basis of the QTL that regulate ontogeny and allometry. Simulation studies and real data analysis of a live example in soybean have been performed to investigate the statistical behavior of the model and validate its practical utilization. The statistical model proposed will help to study the genetic architecture of complex phenotypes and, therefore, gain better insights into the mechanistic regulation for developmental patterns and processes in organisms.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0001245