2013
DOI: 10.1111/evo.12263
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Modeling Phenotypic Plasticity in Growth Trajectories: A Statistical Framework

Abstract: Phenotypic plasticity, that is multiple phenotypes produced by a single genotype in response to environmental change, has been thought to play an important role in evolution and speciation. Historically, knowledge about phenotypic plasticity has resulted from the analysis of static traits measured at a single time point. New insight into the adaptive nature of plasticity can be gained by an understanding of how organisms alter their developmental processes in a range of environments. Recent advances in statist… Show more

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Cited by 24 publications
(22 citation statements)
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“…An improved approach is functional mapping [24][25][26][27], which was developed based on the assumption of function-valued traits: phenotypic values at discrete timepoints are 'snapshots' of a continuous function/curve over time [28]. Functional mapping aims to detect QTLs associated with the whole developmental process of the traits, instead of being associated with any single observation.…”
Section: Functional Qtl Mappingmentioning
confidence: 99%
See 1 more Smart Citation
“…An improved approach is functional mapping [24][25][26][27], which was developed based on the assumption of function-valued traits: phenotypic values at discrete timepoints are 'snapshots' of a continuous function/curve over time [28]. Functional mapping aims to detect QTLs associated with the whole developmental process of the traits, instead of being associated with any single observation.…”
Section: Functional Qtl Mappingmentioning
confidence: 99%
“…Therefore, it would be desirable to develop high-performance and user-friendly computer programs for the practical usage of functional mapping. Furthermore, it would also be interesting to extend the current methodologies of functional mapping for new purposes (see Outstanding Questions), such as searching for gene-gene and gene-environment interactions [27,70,71], predicting genomic breeding values [72], estimating trait heritability [73], and combining functional mapping with systems biology [74].…”
Section: Outstanding Questionsmentioning
confidence: 99%
“…We fit growth curves to mass and feather data to characterize growth trajectories, and used the first derivative at each point along the curve to visualize variation in growth rate (Wang et al 2014). Previously, we estimated nonlinear logistic mixed models to establish that nestlings in Alaska have faster peak growth rates and earlier inflection points for mass gain than birds in California (Sofaer et al 2013a).…”
Section: Comparison Of Mass and Feather Growth Curvesmentioning
confidence: 99%
“…() extended this model to map how QTLs mediate plastic responses to multiple environmental regimes. In controlled laboratory or greenhouse experiments, different mathematical functions have been empirically observed to exist for relating phenotypic values to a gradient of environments (Gomulkiewicz and Kirkpatrick, ; Via et al ., ; Korol et al ., ; Schulte et al ., ; Murren et al ., ; Wang et al ., ; Kingsolver et al ., ). Taking advantage of Ma et al .…”
Section: Introductionmentioning
confidence: 97%