Literature DB >> 12019219

Distinguishing between selection and population expansion in an experimental lineage of bacteriophage T7.

Matthew W Hahn1, Mark D Rausher, Clifford W Cunningham.   

Abstract

Experimental evolution of short-lived organisms offers the opportunity to study the dynamics of polymorphism over time in a controlled environment. Here, we characterize DNA polymorphism data over time for four genes in bacteriophage T7. Our experiment ran for 2500 generations and populations were sampled after 500, 2000, and 2500 generations. We detect positive selection, purifying ("negative") selection, and population expansion in our experiment. We also present a statistical test that is able to distinguish demographic from selective events, processes that are hard to identify individually because both often produce an excess of rare mutations. Our "heterogeneity test" modifies common statistics measuring the frequency spectrum of polymorphism (e.g., Fu and Li's D) by looking for processes producing different patterns on nonsynonymous and synonymous mutations. Test results agree with the known conditions of the experiment, and we are therefore confident that this test offers a tool to evaluate natural populations. Our results suggest that instances of segregating deleterious mutations may be common, but as yet undetected, in nature.

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Year:  2002        PMID: 12019219      PMCID: PMC1462109     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  35 in total

1.  Genealogies and weak purifying selection.

Authors:  M Przeworski; B Charlesworth; J D Wall
Journal:  Mol Biol Evol       Date:  1999-02       Impact factor: 16.240

2.  Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection.

Authors:  Y X Fu
Journal:  Genetics       Date:  1997-10       Impact factor: 4.562

3.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

4.  A test of the background selection hypothesis based on nucleotide data from Drosophila ananassae.

Authors:  W Stephan; L Xing; D A Kirby; J M Braverman
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-12       Impact factor: 11.205

5.  Estimating the recombination parameter of a finite population model without selection.

Authors:  R R Hudson
Journal:  Genet Res       Date:  1987-12       Impact factor: 1.588

6.  The hitch-hiking effect of a favourable gene.

Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

7.  Statistical tests of neutrality of mutations.

Authors:  Y X Fu; W H Li
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

8.  Levels of naturally occurring DNA polymorphism correlate with recombination rates in D. melanogaster.

Authors:  D J Begun; C F Aquadro
Journal:  Nature       Date:  1992-04-09       Impact factor: 49.962

9.  Adaptive protein evolution at the Adh locus in Drosophila.

Authors:  J H McDonald; M Kreitman
Journal:  Nature       Date:  1991-06-20       Impact factor: 49.962

10.  Inferring weak selection from patterns of polymorphism and divergence at "silent" sites in Drosophila DNA.

Authors:  H Akashi
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

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  18 in total

1.  Variation in constraint versus positive selection as an explanation for evolutionary rate variation among anthocyanin genes.

Authors:  Mark D Rausher; Yingqing Lu; Kyle Meyer
Journal:  J Mol Evol       Date:  2008-07-25       Impact factor: 2.395

2.  Range and niche shifts in response to past climate change in the desert horned lizard (Phrynosoma platyrhinos).

Authors:  Tereza Jezkova; Jef R Jaeger; Viktória Oláh-Hemmings; K Bruce Jones; Rafael A Lara-Resendiz; Daniel G Mulcahy; Brett R Riddle
Journal:  Ecography       Date:  2015-06-02       Impact factor: 5.992

3.  Evolution of the human immunodeficiency virus envelope gene is dominated by purifying selection.

Authors:  C T T Edwards; E C Holmes; O G Pybus; D J Wilson; R P Viscidi; E J Abrams; R E Phillips; A J Drummond
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

4.  A timescale for evolution, population expansion, and spatial spread of an emerging clone of methicillin-resistant Staphylococcus aureus.

Authors:  Ulrich Nübel; Janina Dordel; Kevin Kurt; Birgit Strommenger; Henrik Westh; Sanjay K Shukla; Helena Zemlicková; Raphaël Leblois; Thierry Wirth; Thibaut Jombart; François Balloux; Wolfgang Witte
Journal:  PLoS Pathog       Date:  2010-04-08       Impact factor: 6.823

5.  Purifying selection and demographic expansion affect sequence diversity of the ligand-binding domain of a glutamate-gated chloride channel gene of Haemonchus placei.

Authors:  Ted H M Mes
Journal:  J Mol Evol       Date:  2004-04       Impact factor: 2.395

6.  Molecular evolution and population genetics of two Drosophila mettleri cytochrome P450 genes involved in host plant utilization.

Authors:  Jeremy M Bono; Luciano M Matzkin; Sergio Castrezana; Therese A Markow
Journal:  Mol Ecol       Date:  2008-05-26       Impact factor: 6.185

7.  The population genomics of trans-specific inversion polymorphisms in Anopheles gambiae.

Authors:  Bradley J White; Changde Cheng; Djibril Sangaré; Neil F Lobo; Frank H Collins; Nora J Besansky
Journal:  Genetics       Date:  2009-07-06       Impact factor: 4.562

8.  Evidence for a founder effect after introduction of Tomato yellow leaf curl virus-mild in an insular environment.

Authors:  Hélène Delatte; Hélène Holota; Benoit Moury; Bernard Reynaud; Jean-Michel Lett; Michel Peterschmitt
Journal:  J Mol Evol       Date:  2007-07-03       Impact factor: 2.395

9.  Similar Efficacies of Selection Shape Mitochondrial and Nuclear Genes in Both Drosophila melanogaster and Homo sapiens.

Authors:  Brandon S Cooper; Chad R Burrus; Chao Ji; Matthew W Hahn; Kristi L Montooth
Journal:  G3 (Bethesda)       Date:  2015-08-21       Impact factor: 3.154

10.  Controlling population evolution in the laboratory to evaluate methods of historical inference.

Authors:  Patrick Mardulyn; Marie-Anne Vaesen; Michel C Milinkovitch
Journal:  PLoS One       Date:  2008-08-13       Impact factor: 3.240

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