ArticleInternational journal of evolutionary biology2012
What Can Phages Tell Us about Host-Pathogen Coevolution?
Article in International journal of evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- The Zoetrope effect in phage evolution.Frontiers in microbiology · 2026Article
- Genomic analysis ofVirus evolution · 2026Article
- Characterization of phage evolution and phage resistance in drug-resistantJournal of virology · 2024Article
- Trade-offs between receptor modification and fitness drive host-bacteriophage co-evolution leading to phage extinction or co-existence.The ISME journal · 2024Article
- Phage-driven coevolution reveals trade-off between antibiotic and phage resistance inISME communications · 2024Article
- Review
- Resistance of Dickeya solani strain IPO 2222 to lytic bacteriophage ΦD5 results in fitness tradeoffs for the bacterium during infection.Scientific reports · 2022Article
- Phenotypic flux: The role of physiology in explaining the conundrum of bacterial persistence amid phage attack.Virus evolution · 2022Review
- Community context matters for bacteria-phage ecology and evolution.The ISME journal · 2021Review
- Balance between promiscuity and specificity in phage λ host range.The ISME journal · 2021Article
- Sustained coevolution of phage Lambda andMicrobiology (Reading, England) · 2021Article
- Distinct patterns of mutational sensitivity forMicrobial genomics · 2020Article
- Review
- Editorial: Environmental Bacteriophages: From Biological Control Applications to Directed Bacterial Evolution.Frontiers in microbiology · 2019Article
- Antibiotic Therapy Using Phage Depolymerases: Robustness Across a Range of Conditions.Viruses · 2018Article
- Review
- Phage Therapy Faces Evolutionary Challenges.Viruses · 2018Article
- Localised genetic heterogeneity provides a novel mode of evolution in dsDNA phages.Scientific reports · 2017Article
- Virus Resistance Is Not Costly in a Marine Alga Evolving under Multiple Environmental Stressors.Viruses · 2017Article
- Characterization of a single mutation in TraQ in a strain of Escherichia coli partially resistant to Qβ infection.Frontiers in microbiology · 2015Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
The outcomes of host-parasite interactions depend on the coevolutionary forces acting upon them, but because every host-parasite relation is enmeshed in a web of biotic and abiotic interactions across a heterogeneous landscape, host-parasite coevolution has proven difficult to study. Simple laboratory phage-bacteria microcosms can ameliorate this difficulty by allowing controlled, well-replicated experiments with a limited number of interactors. Genetic, population, and life history data obtained from these studies permit a closer examination of the fundamental correlates of host-parasite coevolution. In this paper, I describe the results of phage-bacteria coevolutionary studies and their implications for the study of host-parasite coevolution. Recent experimental studies have confirmed phage-host coevolutionary dynamics in the laboratory and have shown that coevolution can increase parasite virulence, specialization, adaptation, and diversity. Genetically, coevolution frequently proceeds in a manner best described by the Gene for Gene model, typified by arms race dynamics, but certain contexts can result in Red Queen dynamics according to the Matching Alleles model. Although some features appear to apply only to phage-bacteria systems, other results are broadly generalizable and apply to all instances of antagonistic coevolution. With laboratory host-parasite coevolutionary studies, we can better understand the perplexing array of interactions that characterize organismal diversity in the wild.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.