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Journal ArticleDOI

Genetics and Evolution of Phenotypic Plasticity

Samuel M. Scheiner
- 01 Jan 1993 - 
- Vol. 24, Iss: 1, pp 35-68
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TLDR
Phenotypic plasticity is the change in the expressed phenotype of a genotype as a function of the environment, and is likely due both to differences in allelic expression across environments and to changes in interactions among loci.
Abstract
To achieve a coherent evolutionary theory, it is necessary to account for the effects of the environment on the process of development. Phenotypic plasticity is the change in the expressed phenotype of a genotype as a function of the environment. Various measures of plasticity exist, many of which can be united within the framework of a polynomial function. This function is the norm of reaction. For the special case of a linear reaction norm, genetic variation can be partitioned into portions that are independent and dependent on the environment. From this partition two heritability measures are derived which can be used, alternatively, to compare populations or make predictions about the response to selection. Genetically, plasticity is likely due both to differences in allelic expression across environments and to changes in interactions among loci; plasticity is not a function of heterozygosity. Plasticity responds to both artificial and natural selection. The evolution of plasticity is modeled in thre...

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Citations
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Journal ArticleDOI

Phenotypic Plasticity of Sylleptic Branching: Genetic Design of Tree Architecture

TL;DR: This work reviews evidence for the phenotypic plasticity of sylleptic branches and its genetic, environmental, and developmental control, and discusses some trees with the indeterminant growth habit.
Journal ArticleDOI

The role of phenotypic plasticity on population differentiation

TL;DR: By deriving models of population differentiation for three different life cycles, the effect of a species’ ecology on evolution in structured populations is described and plasticity decouples genetic from phenotypic differences between populations, and blurs the correlation between phenotypesic divergence and local adaptation.
Journal ArticleDOI

Phenotypic plasticity is not affected by experimental evolution in constant, predictable or unpredictable fluctuating thermal environments

TL;DR: The results suggest that the maintenance of phenotypes plasticity might come at low and negligible costs, and thus, the potential of phenotypic plasticity to evolve in populations exposed to different environmental conditions might be limited.
Journal ArticleDOI

Sympatric growth morphs and size bimodality in the green sea urchin (strongylocentrotus droebachiensis)

TL;DR: Size-at-age analyses showed that the population at AI consisted of two sympatric growth morphs, fast growing (fg) and slow growing (sg), each described by its own von Bertalanffy growth parameters for mean size and size variance.
Journal ArticleDOI

Plasticity in age and size at metamorphosis of Crinia georgiana tadpoles: responses to variation in food levels and deteriorating conditions during development

TL;DR: Rapid development and the ability to accelerate metamorphosis in C. georgiana tadpoles are consistent with adaptation in a heterogeneous environment where larvae are under strong time constraints.
References
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Journal ArticleDOI

The evolution of life histories

TL;DR: In this article, age and size at maturity at maturity number and size of offspring Reproductive lifespan and ageing are discussed. But the authors focus on the effects of age and stage structure on fertility.
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Evolution in Mendelian Populations.

TL;DR: Page 108, last line of text, for "P/P″" read "P′/ P″."
Journal ArticleDOI

The measurement of selection on correlated characters

TL;DR: Measures of directional and stabilizing selection on each of a set of phenotypically correlated characters are derived, retrospective, based on observed changes in the multivariate distribution of characters within a generation, not on the evolutionary response to selection.
Journal ArticleDOI

Stability Parameters for Comparing Varieties

S. A. Eberhart, +1 more
- 01 Jan 1966 - 
TL;DR: The model, Yij = μ1 + β1Ij + δij, defines stability parameters that may be used to describe the performance of a variety over a series of environments to see whether genetic differences could be detected.