Literature DB >> 35175900

Evolution of the G Matrix under Nonlinear Genotype-Phenotype Maps.

Lisandro Milocco, Isaac Salazar-Ciudad.   

Abstract

AbstractThe G matrix is a statistical summary of the genetic basis of a set of traits and a central pillar of quantitative genetics. A persistent controversy is whether G changes slowly or quickly over time. The evolution of G is important because it affects the ability to predict, or reconstruct, evolution by selection. Empirical studies have found mixed results on how fast G evolves. Theoretical work has largely been developed under the assumption that the relationship between genetic variation and phenotypic variation-the genotype-phenotype map (GPM)-is linear. Under this assumption, G is expected to remain constant over long periods of time. However, according to developmental biology, the GPM is typically complex and nonlinear. Here, we use a GPM model based on the development of a multicellular organ to study how G evolves. We find that G can change relatively fast and in qualitative different ways, which we describe in detail. Changes can be particularly large when the population crosses between regions of the GPM that have different properties. This can result in the additive genetic variance in the direction of selection fluctuating over time and even increasing despite the eroding effect of selection.

Entities:  

Keywords:  G matrix; evo-devo; genotype-phenotype map; mathematical modeling; quantitative genetics

Mesh:

Year:  2022        PMID: 35175900     DOI: 10.1086/717814

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  2 in total

1.  A method to predict the response to directional selection using a Kalman filter.

Authors:  Lisandro Milocco; Isaac Salazar-Ciudad
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-06       Impact factor: 12.779

2.  Solving the grand challenge of phenotypic integration: allometry across scales.

Authors:  François Vasseur; Adrianus Johannes Westgeest; Denis Vile; Cyrille Violle
Journal:  Genetica       Date:  2022-07-20       Impact factor: 1.633

  2 in total

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