Literature DB >> 24853925

Experimental determination of invasive fitness in Caenorhabditis elegans.

Ivo M Chelo1.   

Abstract

Estimation of fitness is a key step in experimental evolution studies. However, no established methods currently exist to specifically estimate how successful new alleles are in invading populations. The main reason is that most assays do not accurately reflect the randomness associated with the first stages of the invasion, when invaders are rare and extinctions are frequent. In this protocol, I describe how such experiments can be done in an effective way. By using the nematode model, Caenorhabditis elegans, a large number of invasion experiments are set up, whereby invading individuals carrying a visual marker are introduced into populations in very low numbers. The number of invaders counted in consecutive generations, together with the number of extinctions, is then used in the context of individual-based computer simulations to provide likelihood (Lk) estimates for fitness. This protocol can take up to five generations of experimental invasions and a few hours of computer processing time.

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Year:  2014        PMID: 24853925     DOI: 10.1038/nprot.2014.098

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  15 in total

1.  The resident strikes back: invader-induced switching of resident attractor.

Authors:  S D Mylius; O Diekmann
Journal:  J Theor Biol       Date:  2001-08-21       Impact factor: 2.691

Review 2.  Evolution experiments with microorganisms: the dynamics and genetic bases of adaptation.

Authors:  Santiago F Elena; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2003-06       Impact factor: 53.242

3.  Evolution in Mendelian Populations.

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

Review 4.  Defining fitness in evolutionary models.

Authors:  Derek A Roff
Journal:  J Genet       Date:  2008-12       Impact factor: 1.166

5.  How should we define 'fitness' for general ecological scenarios?

Authors:  J A Metz; R M Nisbet; S A Geritz
Journal:  Trends Ecol Evol       Date:  1992-06       Impact factor: 17.712

Review 6.  Technologies for micromanipulating, imaging, and phenotyping small invertebrates and vertebrates.

Authors:  Mehmet Fatih Yanik; Christopher B Rohde; Carlos Pardo-Martin
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

7.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans.

Authors:  A Fire; S Xu; M K Montgomery; S A Kostas; S E Driver; C C Mello
Journal:  Nature       Date:  1998-02-19       Impact factor: 49.962

8.  The opportunity for balancing selection in experimental populations of Caenorhabditis elegans.

Authors:  Ivo M Chelo; Henrique Teotónio
Journal:  Evolution       Date:  2012-08-20       Impact factor: 3.694

Review 9.  Fitness and its role in evolutionary genetics.

Authors:  H Allen Orr
Journal:  Nat Rev Genet       Date:  2009-08       Impact factor: 53.242

10.  An experimental test on the probability of extinction of new genetic variants.

Authors:  Ivo M Chelo; Judit Nédli; Isabel Gordo; Henrique Teotónio
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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  3 in total

1.  Competitive fitness analysis using Convolutional Neural Network.

Authors:  Joanna K Palka; Krzysztof Fiok; Weronika Antoł; Zofia M Prokop
Journal:  J Nematol       Date:  2020-11-06       Impact factor: 1.402

2.  Reproductive assurance drives transitions to self-fertilization in experimental Caenorhabditis elegans.

Authors:  Ioannis Theologidis; Ivo M Chelo; Christine Goy; Henrique Teotónio
Journal:  BMC Biol       Date:  2014-11-05       Impact factor: 7.431

3.  The evolution of adhesiveness as a social adaptation.

Authors:  Thomas Garcia; Guilhem Doulcier; Silvia De Monte
Journal:  Elife       Date:  2015-11-27       Impact factor: 8.140

  3 in total

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