ArticleBMC evolutionary biology2012
A common, non-optimal phenotypic endpoint in experimental adaptations of bacteriophage lysis time.
Article in BMC evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Navigating the Fitness Landscape: Host Density, Epistasis, and Clonal Interference Drive Divergent Evolutionary Pathways in Phage Qβ.International journal of molecular sciences · 2025Article
- The balance between fitness advantages and costs drives adaptation of bacteriophage Qβ to changes in host density at different temperatures.Frontiers in microbiology · 2023Article
- Article
- Which 'imperfect vaccines' encourage the evolution of higher virulence?Evolution, medicine, and public health · 2022Article
- Phenotypic flux: The role of physiology in explaining the conundrum of bacterial persistence amid phage attack.Virus evolution · 2022Review
- The evolutionary dynamics of viruses: virion release strategies, time delays and fitness minima.Virus evolution · 2021Article
- Host-Directed Antiviral Therapy.Clinical microbiology reviews · 2020Review
- Life cycle synchronization is a viral drug resistance mechanism.PLoS computational biology · 2018Article
- Mechanisms of viral mutation.Cellular and molecular life sciences : CMLS · 2016Review
- Stochastic holin expression can account for lysis time variation in the bacteriophage λ.Journal of the Royal Society, Interface · 2014Article
- Delayed lysis confers resistance to the nucleoside analogue 5-fluorouracil and alleviates mutation accumulation in the single-stranded DNA bacteriophage ϕX174.Journal of virology · 2014Article
- Experimental selection reveals a trade-off between fecundity and lifespan in the coliphage Qß.Open biology · 2013Article
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2 authors.
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Abstract
backgroundOptimality models of evolution, which ignore genetic details and focus on natural selection, are widely used but sometimes criticized as oversimplifications. Their utility for quantitatively predicting phenotypic evolution can be tested experimentally. One such model predicts optimal bacteriophage lysis interval, how long a virus should produce progeny before lysing its host bacterium to release them. The genetic basis of this life history trait is well studied in many easily propagated phages, making it possible to test the model across a variety of environments and taxa.
resultsWe adapted two related small single-stranded DNA phages, ΦX174 and ST-1, to various conditions. The model predicted the evolution of the lysis interval in response to host density and other environmental factors. In all cases the initial phages lysed later than predicted. The ΦX174 lysis interval did not evolve detectably when the phage was adapted to normal hosts, indicating complete failure of optimality predictions. ΦX174 grown on slyD-defective hosts which initially entirely prevented lysis readily recovered to a lysis interval similar to that attained on normal hosts. Finally, the lysis interval still evolved to the same endpoint when the environment was altered to delay optimal lysis interval. ST-1 lysis interval evolved to be ~2 min shorter, qualitatively in accord with predictions. However, there were no changes in the single known lysis gene. Part of ST-1's total lysis time evolution consisted of an earlier start to progeny production, an unpredicted phenotypic response outside the boundaries of the optimality model.
conclusionsThe consistent failure of the optimality model suggests that constraint and genetic details affect quantitative and even qualitative success of optimality predictions. Several features of ST-1 adaptation show that lysis time is best understood as an output of multiple traits, rather than in isolation.
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