Literature DB >> 22132144

The phenotype-fitness map in experimental evolution of phages.

James J Bull1, Richard H Heineman, Claus O Wilke.   

Abstract

Evolutionary biologists commonly interpret adaptations of organisms by reference to a phenotype-fitness map, a model of how different states of a phenotype affect fitness. Notwithstanding the popularity of this approach, it remains difficult to directly test these mappings, both because the map often describes only a small subset of phenotypes contributing to total fitness and because direct measures of fitness are difficult to obtain and compare to the map. Both limitations can be overcome for bacterial viruses (phages) grown in the experimental condition of unlimited hosts. A complete accounting of fitness requires 3 easily measured phenotypes, and total fitness is also directly measurable for arbitrary genotypes. Yet despite the presumed transparency of this system, directly estimated fitnesses often differ from fitnesses calculated from the phenotype-fitness map. This study attempts to resolve these discrepancies, both by developing a more exact analytical phenotype-fitness map and by exploring the empirical foundations of direct fitness estimates. We derive an equation (the phenotype-fitness map) for exponential phage growth that allows an arbitrary distribution of lysis times and burst sizes. We also show that direct estimates of fitness are, in many cases, plausibly in error because the population has not attained stable age distribution and thus violates the model underlying the phenotype-fitness map. In conjunction with data provided here, the new understanding appears to resolve a discrepancy between the reported fitness of phage T7 and the substantially lower value calculated from its phenotype-fitness map.

Entities:  

Mesh:

Year:  2011        PMID: 22132144      PMCID: PMC3222649          DOI: 10.1371/journal.pone.0027796

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  19 in total

1.  The impact of host-cell dynamics on the fixation probability for lytic viruses.

Authors:  Z Patwa; L M Wahl
Journal:  J Theor Biol       Date:  2009-05-21       Impact factor: 2.691

2.  Distribution of fitness effects caused by single-nucleotide substitutions in bacteriophage f1.

Authors:  Joan B Peris; Paulina Davis; José M Cuevas; Miguel R Nebot; Rafael Sanjuán
Journal:  Genetics       Date:  2010-04-09       Impact factor: 4.562

3.  A tale of tails: Sialidase is key to success in a model of phage therapy against K1-capsulated Escherichia coli.

Authors:  J J Bull; E R Vimr; I J Molineux
Journal:  Virology       Date:  2009-12-16       Impact factor: 3.616

4.  Bacteriophage adsorption rate and optimal lysis time.

Authors:  Yongping Shao; Ing-Nang Wang
Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

5.  Purification and some properties of bacteriophage ST-1.

Authors:  J M Bowes; C E Dowell
Journal:  J Virol       Date:  1974-01       Impact factor: 5.103

6.  Fixation probabilities depend on life history: fecundity, generation time and survival in a burst-death model.

Authors:  H K Alexander; L M Wahl
Journal:  Evolution       Date:  2008-07       Impact factor: 3.694

7.  Testing optimality with experimental evolution: lysis time in a bacteriophage.

Authors:  Richard H Heineman; James J Bull
Journal:  Evolution       Date:  2007-07       Impact factor: 3.694

8.  THE GROWTH OF BACTERIOPHAGE.

Authors:  E L Ellis; M Delbrück
Journal:  J Gen Physiol       Date:  1939-01-20       Impact factor: 4.086

9.  The fitness effects of random mutations in single-stranded DNA and RNA bacteriophages.

Authors:  Pilar Domingo-Calap; José M Cuevas; Rafael Sanjuán
Journal:  PLoS Genet       Date:  2009-11-26       Impact factor: 5.917

10.  Optimal foraging predicts the ecology but not the evolution of host specialization in bacteriophages.

Authors:  Sébastien Guyader; Christina L Burch
Journal:  PLoS One       Date:  2008-04-16       Impact factor: 3.240

View more
  22 in total

1.  Slow fitness recovery in a codon-modified viral genome.

Authors:  J J Bull; I J Molineux; C O Wilke
Journal:  Mol Biol Evol       Date:  2012-04-24       Impact factor: 16.240

2.  Lethal mutagenesis failure may augment viral adaptation.

Authors:  Matthew L Paff; Steven P Stolte; James J Bull
Journal:  Mol Biol Evol       Date:  2013-10-03       Impact factor: 16.240

3.  Fitness benefits of low infectivity in a spatially structured population of bacteriophages.

Authors:  Pavitra Roychoudhury; Neelima Shrestha; Valorie R Wiss; Stephen M Krone
Journal:  Proc Biol Sci       Date:  2013-11-13       Impact factor: 5.349

4.  Methods for measuring the evolutionary stability of engineered genomes to improve their longevity.

Authors:  Scott L Nuismer; Nathan C Layman; Alec J Redwood; Baca Chan; James J Bull
Journal:  Synth Biol (Oxf)       Date:  2021-08-23

5.  Evolutionary recovery of a recombinant viral genome.

Authors:  Rachael Springman; Devanshi S Kapadia-Desai; Ian J Molineux; James J Bull
Journal:  G3 (Bethesda)       Date:  2012-07-01       Impact factor: 3.154

6.  A common, non-optimal phenotypic endpoint in experimental adaptations of bacteriophage lysis time.

Authors:  Lynne Chantranupong; Richard H Heineman
Journal:  BMC Evol Biol       Date:  2012-03-19       Impact factor: 3.260

7.  An Optimal Lysis Time Maximizes Bacteriophage Fitness in Quasi-Continuous Culture.

Authors:  Sherin Kannoly; Abhyudai Singh; John J Dennehy
Journal:  mBio       Date:  2022-04-25       Impact factor: 7.786

8.  Intra-Population Competition during Adaptation to Increased Temperature in an RNA Bacteriophage.

Authors:  María Arribas; Ester Lázaro
Journal:  Int J Mol Sci       Date:  2021-06-24       Impact factor: 5.923

9.  Evolutionary stability of a refactored phage genome.

Authors:  Rachael Springman; Ian J Molineux; Chanan Duong; Robert J Bull; James J Bull
Journal:  ACS Synth Biol       Date:  2012-09-21       Impact factor: 5.110

10.  Adaptive regulatory substitutions affect multiple stages in the life cycle of the bacteriophage φX174.

Authors:  Celeste J Brown; Amber D Stancik; Pavitra Roychoudhury; Stephen M Krone
Journal:  BMC Evol Biol       Date:  2013-03-18       Impact factor: 3.260

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.