Literature DB >> 28565201

EPISTATIC INTERACTIONS CAN LOWER THE COST OF RESISTANCE TO MULTIPLE CONSUMERS.

Brendan J M Bohannan1, Michael Travisano2, Richard E Lenski3.   

Abstract

It is widely assumed that resistance to consumers (e.g., predators or pathogens) comes at a "cost," that is, when the consumer is absent the resistant organisms are less fit than their susceptible counterparts. It is unclear what factors determine this cost. We demonstrate that epistasis between genes that confer resistance to two different consumers can alter the cost of resistance. We used as a model system the bacterium Escherichia coli and two different viruses (bacteriophages), T4 and Λ, that prey upon E. coli. Epistasis tended to reduce the costs of multiple resistance in this system. However, the extent of cost savings and its statistical significance depended on the environment in which fitness was measured, whether the null hypothesis for gene interaction was additive or multiplicative, and subtle differences among mutations that conferred the same resistance phenotype. © 1999 The Society for the Study of Evolution.

Entities:  

Keywords:  Bacteria; cost of resistance; epistasis; resistance; viruses

Year:  1999        PMID: 28565201     DOI: 10.1111/j.1558-5646.1999.tb05355.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  7 in total

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3.  Virus Resistance Is Not Costly in a Marine Alga Evolving under Multiple Environmental Stressors.

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4.  Efficiency of Phage φ6 for Biocontrol of Pseudomonas syringae pv. syringae: An in Vitro Preliminary Study.

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Review 5.  Bacteriophages in the Control of Aeromonas sp. in Aquaculture Systems: An Integrative View.

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6.  Epistatic interactions alter dynamics of multilocus gene-for-gene coevolution.

Authors:  Andy Fenton; Michael A Brockhurst
Journal:  PLoS One       Date:  2007-11-07       Impact factor: 3.240

7.  Cross-resistance is modular in bacteria-phage interactions.

Authors:  Rosanna C T Wright; Ville-Petri Friman; Margaret C M Smith; Michael A Brockhurst
Journal:  PLoS Biol       Date:  2018-10-03       Impact factor: 8.029

  7 in total

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