ArticlemBio2013
Broad conditions favor the evolution of phase-variable loci.
Article in mBio, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 50 citations in OpenAlex.
- 100+ years of phase variation: the premier bacterial bet-hedging phenomenon.Microbiology (Reading, England) · 2025Review
- Pathogen contingency loci and the evolution of host specificity: Simple sequence repeats mediate Bartonella adaptation to a wild rodent host.PLoS pathogens · 2024Article
- Microbial Primer: Phase variation - survival and adaptability by generation of a diverse population.Microbiology (Reading, England) · 2024Review
- Novel approach toward the understanding of genetic diversity based on the two types of amino acid repeats in Erwinia amylovora.Scientific reports · 2023Article
- How does feedback from phage infections influence the evolution of phase variation in Campylobacter?PLoS computational biology · 2021Article
- Evolution of Pseudomonas aeruginosa toward higher fitness under standard laboratory conditions.The ISME journal · 2021Article
- Meningococcal core and accessory phasomes vary by clonal complex.Microbial genomics · 2020Article
- Selective and non-selective bottlenecks as drivers of the evolution of hypermutable bacterial loci.Molecular microbiology · 2020Review
- Article
- Potentiation of Phase Variation in Multiple Outer-Membrane Proteins During Spread of the Hyperinvasive Neisseria meningitidis Serogroup W ST-11 Lineage.The Journal of infectious diseases · 2019Article
- Mutation and Selection in Bacteria: Modelling and Calibration.Bulletin of mathematical biology · 2019Article
- Phage-Resistant Phase-Variant Sub-populations Mediate Herd Immunity Against Bacteriophage Invasion of Bacterial Meta-Populations.Frontiers in microbiology · 2019Article
- A survey of Type III restriction-modification systems reveals numerous, novel epigenetic regulators controlling phase-variable regulons; phasevarions.Nucleic acids research · 2018Article
- The impact of bottlenecks on microbial survival, adaptation, and phenotypic switching in host-pathogen interactions.Evolution; international journal of organic evolution · 2017Article
- Article
- Comparative Genome Sequencing Reveals Within-Host Genetic Changes in Neisseria meningitidis during Invasive Disease.PloS one · 2017Article
- Phase variation and host immunity against high molecular weight (HMW) adhesins shape population dynamics of nontypeable Haemophilus influenzae within human hosts.Journal of theoretical biology · 2014Article
- A repetitive DNA element regulates expression of the Helicobacter pylori sialic acid binding adhesin by a rheostat-like mechanism.PLoS pathogens · 2014Article
- Mathematical and live meningococcal models for simple sequence repeat dynamics - coherent predictions and observations.PloS one · 2014Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
unlabelledSimple sequence repeat (SSR) tracts produce stochastic on-off switching, or phase variation, in the expression of a panoply of surface molecules in many bacterial commensals and pathogens. A change to the number of repeats in a tract may alter the phase of the translational reading frame, which toggles the on-off state of the switch. Here, we construct an in silico SSR locus with mutational dynamics calibrated to those of the Haemophilus influenzae mod locus. We simulate its evolution in a regimen of two alternating environments, simultaneously varying the selection coefficient, s, and the epoch length, T. Some recent work in a simpler (two-locus) model suggested that stochastic switching in a regimen of two alternating environments may be evolutionarily favored only if the selection coefficients in the two environments are nearly equal ("symmetric") or selection is very strong. This finding was puzzling, as it greatly restricted the conditions under which stochastic switching might evolve. Instead, we find agreement with other recent theoretical work, observing selective utility for stochastic switching if the product sT is large enough for the favored state to nearly fix in both environments. Symmetry is required neither in s nor in sT. Because we simulate finite populations and use a detailed model of the SSR locus, we are also able to examine the impact of population size and of several SSR locus parameters. Our results indicate that conditions favoring evolution and maintenance of SSR loci in bacteria are quite broad. IMPORTANCE: Bacteria experience frequent changes of environment during the infection cycle. One means to rapidly adapt is stochastic switching: a bacterial lineage will stochastically produce a variety of genotypes, so that some descendants will survive if the environment changes. Stochastic switching mediated by simple sequence repeat (SSR) loci is widespread among bacterial commensals and pathogens and influences critical interactions with host surfaces or immune effectors, thereby affecting host persistence, transmission, and virulence. Here, we use the most detailed in silico model of an SSR locus to date, with its phase variation calibrated to match the mod locus of Haemophilus influenzae. The type III restriction-modification system encoded by mod participates in the regulation of multiple other genes; thus, SSR-mediated phase variation of mod has far-reaching cis-regulatory effects. This coupling of phase-variable switching to complex phenotypic effects has been described as the "phasevarion" and is central to understanding the infection cycle of bacterial commensals and pathogens.
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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.