Literature DB >> 15937786

Identification of selective sources: partitioning selection based on interactions.

Benjamin J Ridenhour1.   

Abstract

Interspecific interactions are an inescapable reality in nature. The evolution of a species is largely determined by the environment, abiotic or biotic, in which selection occurs. Quantifying the magnitude of selection is crucial to understanding which aspects of the environment are important to the evolution of a species. Such knowledge is particularly important to fields such as conservation biology, which attempts to maintain a suitable environment for the prosperity of a species, or coevolution, where dynamics are determined by the strength of reciprocal selection between species. I present a general method by which selection due to interspecific interactions may be quantified. This technique is based on past quantitative genetic models of selection and can be used with other methodologies that build on these standard models. The approach may be expanded to account for n-species interactions (e.g., a plant with two pollinators). Simulation studies conducted using this method indicate that the magnitude of selection between two species is strongly correlated with the presence of nonrandom interactions.

Mesh:

Year:  2005        PMID: 15937786     DOI: 10.1086/430524

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


  8 in total

1.  Specificity in the symbiotic association between fungus-growing ants and protective Pseudonocardia bacteria.

Authors:  Matías J Cafaro; Michael Poulsen; Ainslie E F Little; Shauna L Price; Nicole M Gerardo; Bess Wong; Alison E Stuart; Bret Larget; Patrick Abbot; Cameron R Currie
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

2.  Coevolution of venom function and venom resistance in a rattlesnake predator and its squirrel prey.

Authors:  Matthew L Holding; James E Biardi; H Lisle Gibbs
Journal:  Proc Biol Sci       Date:  2016-04-27       Impact factor: 5.349

3.  Indirect effects drive coevolution in mutualistic networks.

Authors:  Paulo R Guimarães; Mathias M Pires; Pedro Jordano; Jordi Bascompte; John N Thompson
Journal:  Nature       Date:  2017-10-18       Impact factor: 49.962

4.  Interacting phenotypes and the coevolutionary process: Interspecific indirect genetic effects alter coevolutionary dynamics.

Authors:  Stephen P De Lisle; Daniel I Bolnick; Edmund D Brodie; Allen J Moore; Joel W McGlothlin
Journal:  Evolution       Date:  2022-02-10       Impact factor: 4.171

5.  Species interactions alter evolutionary responses to a novel environment.

Authors:  Diane Lawrence; Francesca Fiegna; Volker Behrends; Jacob G Bundy; Albert B Phillimore; Thomas Bell; Timothy G Barraclough
Journal:  PLoS Biol       Date:  2012-05-15       Impact factor: 8.029

Review 6.  On Reciprocal Causation in the Evolutionary Process.

Authors:  Erik I Svensson
Journal:  Evol Biol       Date:  2017-09-19       Impact factor: 3.119

7.  Phenotypic mismatches reveal escape from arms-race coevolution.

Authors:  Charles T Hanifin; Edmund D Brodie; Edmund D Brodie
Journal:  PLoS Biol       Date:  2008-03-11       Impact factor: 8.029

8.  Genetically determined fungal pathogen tolerance and soil variation influence ectomycorrhizal traits of loblolly pine.

Authors:  Bridget J Piculell; Lori G Eckhardt; Jason D Hoeksema
Journal:  Ecol Evol       Date:  2018-09-05       Impact factor: 2.912

  8 in total

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