ArticleProceedings. Biological sciences2004
Reduced fecundity is the cost of cheating in RNA virus phi6.
Article in Proceedings. Biological sciences, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
- Navigating a Fine Balance: Point-Mutant Cheater Viruses Disrupt the Viral Replication Cycle.Molecular biology and evolution · 2025Article
- Experimental Evolution Studies in Φ6 Cystovirus.Viruses · 2024Review
- In the social amoebaPeerJ · 2024Article
- The evolution of cheating in viruses.Nature communications · 2021Review
- Decay of infectious SARS-CoV-2 and surrogates in aquatic environments.Water research · 2021Article
- Effects of historical co-infection on host shift abilities of exploitative and competitive viruses.Evolution; international journal of organic evolution · 2021Article
- Competition between social cheater viruses is driven by mechanistically different cheating strategies.Science advances · 2020Article
- More than Simple Parasites: the Sociobiology of Bacteriophages and Their Bacterial Hosts.mBio · 2020Review
- Exploiting Genetic Interference for Antiviral Therapy.PLoS genetics · 2016Review
- Effects of sequential and simultaneous applications of bacteriophages on populations of Pseudomonas aeruginosa in vitro and in wax moth larvae.Applied and environmental microbiology · 2012Article
- What Can Phages Tell Us about Host-Pathogen Coevolution?International journal of evolutionary biology · 2012Article
- On the possible role of robustness in the evolution of infectious diseases.Chaos (Woodbury, N.Y.) · 2010Article
- Complementation and epistasis in viral coinfection dynamics.Genetics · 2009Article
- Robustness promotes evolvability of thermotolerance in an RNA virus.BMC evolutionary biology · 2008Article
- Evolution of DNA double-strand break repair by gene conversion: coevolution between a phage and a restriction-modification system.Genetics · 2007Article
- Bacteriophage migration via nematode vectors: host-parasite-consumer interactions in laboratory microcosms.Applied and environmental microbiology · 2006Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-infection by multiple viruses affords opportunities for the evolution of cheating strategies to use intracellular resources. Cheating may be costly, however, when viruses infect cells alone. We previously allowed the RNA bacteriophage phi6 to evolve for 250 generations in replicated environments allowing co-infection of Pseudomonas phaseolicola bacteria. Derived genotypes showed great capacity to compete during co-infection, but suffered reduced performance in solo infections. Thus, the evolved viruses appear to be cheaters that sacrifice between-host fitness for within-host fitness. It is unknown, however, which stage of the lytic growth cycle is linked to the cost of cheating. Here, we examine the cost through burst assays, where lytic infection can be separated into three discrete phases (analogous to phage life history): dispersal stage, latent period (juvenile stage), and burst (adult stage). We compared growth of a representative cheater and its ancestor in environments where the cost occurs. The cost of cheating was shown to be reduced fecundity, because cheaters feature a significantly smaller burst size (progeny produced per infected cell) when infecting on their own. Interestingly, latent period (average burst time) of the evolved virus was much longer than that of the ancestor, indicating the cost does not follow a life history trade-off between timing of reproduction and lifetime fecundity. Our data suggest that interference competition allows high fitness of derived cheaters in mixed infections, and we discuss preferential encapsidation as one possible mechanism.
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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.