Literature DB >> 30362291

Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes.

Jean-Paul Soularue1, Armel Thöni1, Léo Arnoux1, Valérie Le Corre2, Antoine Kremer1.   

Abstract

Metapop is a stochastic individual-based simulation program. It uses quantitative genetics theory to produce an explicit description of the typical life cycle of monoecious and hermaphroditic plant species. Genome structure, the relationship between genotype and phenotype, and the effects of landscape heterogeneity on each individual can be finely parameterized by the user. Unlike most existing simulation packages, Metapop can simulate phenotypic plasticity, which may have a genetic component, and assortative mating, two important features of tree species. Each simulation is parameterized through text files, and raw data are generated recurrently, describing the allelic state of each quantitative trait locus involved in phenotypic variability. The data can be generated in Genepop or Fstat format, and may thus be analysed with other existing packages. Metapop also automatically computes a range of populations statistics, enabling the user to monitor evolutionary dynamics directly, from gene to metapopulation level.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  assortative mating; forest trees; landscape heterogeneity; phenotypic plasticity; quantitative genetics; simulation; stochastic individual-based modelling

Mesh:

Year:  2018        PMID: 30362291      PMCID: PMC6469578          DOI: 10.1111/1755-0998.12958

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  31 in total

1.  Effects of colonization processes on genetic diversity: differences between annual plants and tree species.

Authors:  F Austerlitz; S Mariette; N Machon; P H Gouyon; B Godelle
Journal:  Genetics       Date:  2000-03       Impact factor: 4.562

2.  Predicting long-term response to selection.

Authors:  J P Reeve
Journal:  Genet Res       Date:  2000-02       Impact factor: 1.588

3.  The Evolution of Plasticity and Nonplastic Spatial and Temporal Adaptations in the Presence of Imperfect Environmental Cues.

Authors:  Jarle Tufto
Journal:  Am Nat       Date:  2000-08       Impact factor: 3.926

4.  Genetic variability at neutral markers, quantitative trait land trait in a subdivided population under selection.

Authors:  Valérie Le Corre; Antoine Kremer
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

5.  Modelling the impact of colonisation on genetic diversity and differentiation of forest trees: interaction of life cycle, pollen flow and seed long-distance dispersal.

Authors:  F Austerlitz; P H Garnier-Géré
Journal:  Heredity (Edinb)       Date:  2003-04       Impact factor: 3.821

6.  simuPOP: a forward-time population genetics simulation environment.

Authors:  Bo Peng; Marek Kimmel
Journal:  Bioinformatics       Date:  2005-07-14       Impact factor: 6.937

7.  Nemo: an evolutionary and population genetics programming framework.

Authors:  Frédéric Guillaume; Jacques Rougemont
Journal:  Bioinformatics       Date:  2006-07-31       Impact factor: 6.937

8.  Evolution in Mendelian Populations.

Authors:  S Wright
Journal:  Genetics       Date:  1931-03       Impact factor: 4.562

9.  The Stepping Stone Model of Population Structure and the Decrease of Genetic Correlation with Distance.

Authors:  M Kimura; G H Weiss
Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

10.  The maintenance of genetic variability by mutation in a polygenic character with linked loci.

Authors:  R Lande
Journal:  Genet Res       Date:  1975-12       Impact factor: 1.588

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  1 in total

1.  The boon and bane of boldness: movement syndrome as saviour and sink for population genetic diversity.

Authors:  Joseph Premier; Jörns Fickel; Marco Heurich; Stephanie Kramer-Schadt
Journal:  Mov Ecol       Date:  2020-04-21       Impact factor: 3.600

  1 in total

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