Literature DB >> 26747663

Thoughts Toward a Theory of Natural Selection: The Importance of Microbial Experimental Evolution.

Daniel Dykhuizen1.   

Abstract

Natural selection should no longer be thought of simply as a primitive (magical) concept that can be used to support all kinds of evolutionary theorizing. We need to develop causal theories of natural selection; how it arises. Because the factors contributing to the creation of natural selection are expected to be complex and intertwined, theories explaining the causes of natural selection can only be developed through the experimental method. Microbial experimental evolution provides many benefits that using other organisms does not. Microorganisms are small, so millions can be housed in a test tube; they have short generation times, so evolution over hundreds of generations can be easily studied; they can grow in chemically defined media, so the environment can be precisely defined; and they can be frozen, so the fitness of strains or populations can be directly compared across time. Microbial evolution experiments can be divided into two types. The first is to measure the selection coefficient of two known strains over the first 50 or so generations, before advantageous mutations rise to high frequency. This type of experiment can be used to directly test hypotheses. The second is to allow microbial cultures to evolve over many hundreds or thousands of generations and follow the genetic changes, to infer what phenotypes are selected. In the last section of this article, I propose that selection coefficients are not constant, but change as the population becomes fitter, introducing the idea of the selection space.
Copyright © 2016 Cold Spring Harbor Laboratory Press; all rights reserved.

Mesh:

Year:  2016        PMID: 26747663      PMCID: PMC4772105          DOI: 10.1101/cshperspect.a018044

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Biol        ISSN: 1943-0264            Impact factor:   10.005


  22 in total

1.  Long-term dynamics of adaptation in asexual populations.

Authors:  Michael J Wiser; Noah Ribeck; Richard E Lenski
Journal:  Science       Date:  2013-11-14       Impact factor: 47.728

2.  Limits of adaptation: the evolution of selective neutrality.

Authors:  D L Hartl; D E Dykhuizen; A M Dean
Journal:  Genetics       Date:  1985-11       Impact factor: 4.562

3.  Chemostats used for studying natural selection and adaptive evolution.

Authors:  D E Dykhuizen
Journal:  Methods Enzymol       Date:  1993       Impact factor: 1.600

4.  There must be a prokaryote somewhere: microbiology's search for itself.

Authors:  C R Woese
Journal:  Microbiol Rev       Date:  1994-03

5.  The molecular basis of dominance.

Authors:  H Kacser; J A Burns
Journal:  Genetics       Date:  1981 Mar-Apr       Impact factor: 4.562

6.  OmpF changes and the complexity of Escherichia coli adaptation to prolonged lactose limitation.

Authors:  E Zhang; T Ferenci
Journal:  FEMS Microbiol Lett       Date:  1999-07-15       Impact factor: 2.742

7.  A molecular investigation of genotype by environment interactions.

Authors:  A M Dean
Journal:  Genetics       Date:  1995-01       Impact factor: 4.562

8.  Evolution of specialists in an experimental microcosm.

Authors:  Daniel E Dykhuizen; Antony M Dean
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

9.  Evolutionary genomics of ecological specialization.

Authors:  Shaobin Zhong; Arkady Khodursky; Daniel E Dykhuizen; Antony M Dean
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-02       Impact factor: 11.205

10.  Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.

Authors:  Xionglei He; Wenfeng Qian; Zhi Wang; Ying Li; Jianzhi Zhang
Journal:  Nat Genet       Date:  2010-01-24       Impact factor: 38.330

View more
  2 in total

1.  Using colony size to measure fitness in Saccharomyces cerevisiae.

Authors:  James H Miller; Vincent J Fasanello; Ping Liu; Emery R Longan; Carlos A Botero; Justin C Fay
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

Review 2.  Experimental evolution and proximate mechanisms in biology.

Authors:  Xiao Yi
Journal:  Synth Syst Biotechnol       Date:  2017-11-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.