Literature DB >> 27177943

The probability of speciation on an interaction network with unequal substitution rates.

Peter Olofsson1, Kevin Livingstone2, Joshua Humphreys2, Douglas Steinman3.   

Abstract

Speciation is characterized by the development of reproductive isolating barriers between diverging groups. A seminal paper of a mathematical model of speciation was published by Orr (1995), extended by Livingstone et al. (2012) to incorporate interaction networks. Here, we further develop the model to take into account the possibility of different substitution rates for network nodes of different connectivity. Mathematically, this amounts to sampling nodes from an undirected graph where the inclusion probability for a given node depends on its degree (number of connecting edges). We establish formulas for the rate of speciation and identify a crucial parameter that is a measure of the deviation from simple random sampling.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bateson-Dobzhansky-Muller interactions; Interaction networks; Reproductive incompatibility; Speciation

Mesh:

Year:  2016        PMID: 27177943      PMCID: PMC5797833          DOI: 10.1016/j.mbs.2016.04.010

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  9 in total

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Journal:  Mol Biol Evol       Date:  2004-12-22       Impact factor: 16.240

4.  The population genetics of speciation: the evolution of hybrid incompatibilities.

Authors:  H A Orr
Journal:  Genetics       Date:  1995-04       Impact factor: 4.562

5.  A stochastic model for the development of Bateson-Dobzhansky-Muller incompatibilities that incorporates protein interaction networks.

Authors:  Kevin Livingstone; Peter Olofsson; Garner Cochran; Andrius Dagilis; Karen Macpherson; Kerry A Seitz
Journal:  Math Biosci       Date:  2012-03-29       Impact factor: 2.144

6.  The yeast protein interaction network evolves rapidly and contains few redundant duplicate genes.

Authors:  A Wagner
Journal:  Mol Biol Evol       Date:  2001-07       Impact factor: 16.240

7.  Evolutionary rate in the protein interaction network.

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8.  The genetic landscape of a cell.

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  9 in total
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Review 1.  Multi-locus interactions and the build-up of reproductive isolation.

Authors:  I Satokangas; S H Martin; H Helanterä; J Saramäki; J Kulmuni
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2.  The evolution of hybrid fitness during speciation.

Authors:  Andrius J Dagilis; Mark Kirkpatrick; Daniel I Bolnick
Journal:  PLoS Genet       Date:  2019-05-06       Impact factor: 5.917

  2 in total

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