scholarly journals Erratum: Rybnikov et al. Selection for Plastic, Pathogen-Inducible Recombination in a Red Queen Model with Diploid Antagonists. Pathogens 2021, 10, 898

Pathogens ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1460
Author(s):  
Sviatoslav Rybnikov ◽  
Zeev Frenkel ◽  
Abraham B. Korol ◽  
Tzion Fahima
Keyword(s):  
Red Queen ◽  
Selection For ◽  
Red Queen Model

In the original article, there was a mistake published in Figure 3 [...]

scholarly journals Selection for Plastic, Pathogen-Inducible Recombination in a Red Queen Model with Diploid Antagonists

Pathogens ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 898
Author(s):  
Sviatoslav Rybnikov ◽  
Zeev Frenkel ◽  
Abraham B. Korol ◽  
Tzion Fahima
Keyword(s):  
Recombination Rate ◽  
Population Genetic ◽  
Infection Prevention ◽  
Theoretical Models ◽  
Prevention Strategy ◽  
Risk Of Infection ◽  
Red Queen ◽  
Selection For ◽  
Red Queen Model ◽  
Antagonistic Interactions

Antagonistic interactions and co-evolution between a host and its parasite are known to cause oscillations in the population genetic structure of both species (Red Queen dynamics). Potentially, such oscillations may select for increased sex and recombination in the host, although theoretical models suggest that this happens under rather restricted values of selection intensity, epistasis, and other parameters. Here, we explore a model in which the diploid parasite succeeds to infect the diploid host only if their phenotypes at the interaction-mediating loci match. Whenever regular oscillations emerge in this system, we test whether plastic, pathogen-inducible recombination in the host can be favored over the optimal constant recombination. Two forms of the host recombination dependence on the parasite pressure were considered: either proportionally to the risk of infection (prevention strategy) or upon the fact of infection (remediation strategy). We show that both forms of plastic recombination can be favored, although relatively infrequently (up to 11% of all regimes with regular oscillations, and up to 20% of regimes with obligate parasitism). This happens under either strong overall selection and high recombination rate in the host, or weak overall selection and low recombination rate in the host. In the latter case, the system’s dynamics are considerably more complex. The prevention strategy is favored more often than the remediation one. It is noteworthy that plastic recombination can be favored even when any constant recombination is rejected, making plasticity an evolutionary mechanism for the rescue of host recombination.

scholarly journals The Red Queen model of recombination hot-spot evolution: a theoretical investigation

2017 ◽  
Vol 372 (1736) ◽  
pp. 20160463 ◽  
Author(s):  
Thibault Latrille ◽  
Laurent Duret ◽  
Nicolas Lartillot
Keyword(s):  
Gene Conversion ◽  
Recombination Rate ◽  
Evolutionary Dynamics ◽  
Genetic Model ◽  
Hot Spot ◽  
Rate Variation ◽  
Red Queen ◽  
Biased Gene Conversion ◽  
Red Queen Model ◽  
The Red Queen

In humans and many other species, recombination events cluster in narrow and short-lived hot spots distributed across the genome, whose location is determined by the Zn-finger protein PRDM9. To explain these fast evolutionary dynamics, an intra-genomic Red Queen model has been proposed, based on the interplay between two antagonistic forces: biased gene conversion, mediated by double-strand breaks, resulting in hot-spot extinction, followed by positive selection favouring new PRDM9 alleles recognizing new sequence motifs. Thus far, however, this Red Queen model has not been formalized as a quantitative population-genetic model, fully accounting for the intricate interplay between biased gene conversion, mutation, selection, demography and genetic diversity at the PRDM9 locus. Here, we explore the population genetics of the Red Queen model of recombination. A Wright–Fisher simulator was implemented, allowing exploration of the behaviour of the model (mean equilibrium recombination rate, diversity at the PRDM9 locus or turnover rate) as a function of the parameters (effective population size, mutation and erosion rates). In a second step, analytical results based on self-consistent mean-field approximations were derived, reproducing the scaling relations observed in the simulations. Empirical fit of the model to current data from the mouse suggests both a high mutation rate at PRDM9 and strong biased gene conversion on its targets. This article is part of the themed issue ‘Evolutionary causes and consequences of recombination rate variation in sexual organisms’.

scholarly journals The Red Queen Model of Recombination Hotspots Evolution in the Light of Archaic and Modern Human Genomes

PLoS Genetics ◽  
2014 ◽  
Vol 10 (11) ◽  
pp. e1004790 ◽  
Author(s):  
Yann Lesecque ◽  
Sylvain Glémin ◽  
Nicolas Lartillot ◽  
Dominique Mouchiroud ◽  
Laurent Duret
Keyword(s):  
Modern Human ◽  
Red Queen ◽  
Recombination Hotspots ◽  
Human Genomes ◽  
Red Queen Model ◽  
The Red Queen

scholarly journals On the Causes of Selection for Recombination Underlying the Red Queen Hypothesis

2009 ◽  
Vol 174 (S1) ◽  
pp. S31-S42 ◽  
Author(s):  
Marcel Salathé ◽  
Roger D. Kouyos ◽  
Sebastian Bonhoeffer
Keyword(s):  
Red Queen Hypothesis ◽  
Red Queen ◽  
Selection For ◽  
The Red Queen

scholarly journals The evolutionary advantage of condition-dependent recombination in a Red Queen model with diploid antagonists

2018 ◽  
Author(s):  
Sviatoslav R. Rybnikov ◽  
Zeev M. Frenkel ◽  
Tzion Fahima ◽  
Abraham B. Korol
Keyword(s):  
Recombination Rate ◽  
Theoretical Models ◽  
Condition Dependence ◽  
Red Queen ◽  
Recombination Rates ◽  
Optimal Constant ◽  
Evolutionary Advantage ◽  
Mean Fitness ◽  
Parameter Values ◽  
Red Queen Model

AbstractAntagonistic interaction, like those between a host and its parasite, are known to cause oscillations in genetic structure of both species, usually referred to as Red Queen dynamics (RQD). The RQD is believed to be a plausible explanation for the evolution of sex/recombination, although numerous theoretical models showed that this may happen only under rather restricted parameter values (selection intensity, epistasis, etc.). Here, we consider two diploid antagonists, each with either two or three selected loci; the interaction is based on matching phenotypes model. We use the RQD, whenever it emerges in this system, as a substrate to examine the evolution of one recombination feature, condition dependence in diploids, which still remains an underexplored question. We consider several forms of condition-dependent recombination, with recombination rates in the host being sensitive either to the parasite’s mean fitness, or to the host’s infection status, or to the host’s genotype fitness. We show that all form of condition-dependent recombination can be favored over the corresponding optimal constant recombination rate, even including situations in which the optimal constant recombination rate is zero.

scholarly journals A red queen model of personality

2018 ◽  
Vol 16 (1) ◽  
pp. 1-36
Author(s):  
Douglas Roy ◽  
Bronwen Roy
Keyword(s):  
Red Queen ◽  
Red Queen Model

Framework for Selecting Vocabulary for Preliterate Children Who Use Augmentative and Alternative Communication

2019 ◽  
Vol 28 (3) ◽  
pp. 1000-1009
Author(s):  
Allison Bean ◽  
Lindsey Paden Cargill ◽  
Samantha Lyle
Keyword(s):  
Language Impairment ◽  
Augmentative And Alternative Communication ◽  
Developmentally Appropriate ◽  
School Age Children ◽  
Alternative Communication ◽  
School Based ◽  
Selection For ◽  
Nonverbal Children ◽  
Grammatical Structures ◽  
Insufficient Knowledge

Purpose Nearly 50% of school-based speech-language pathologists (SLPs) provide services to school-age children who use augmentative and alternative communication (AAC). However, many SLPs report having insufficient knowledge in the area of AAC implementation. The objective of this tutorial is to provide clinicians with a framework for supporting 1 area of AAC implementation: vocabulary selection for preliterate children who use AAC. Method This tutorial focuses on 4 variables that clinicians should consider when selecting vocabulary: (a) contexts/environments where the vocabulary can be used, (b) time span during which the vocabulary will be relevant, (c) whether the vocabulary can elicit and maintain interactions with other people, and (d) whether the vocabulary will facilitate developmentally appropriate grammatical structures. This tutorial focuses on the role that these variables play in language development in verbal children with typical development, verbal children with language impairment, and nonverbal children who use AAC. Results Use of the 4 variables highlighted above may help practicing SLPs select vocabulary that will best facilitate language acquisition in preliterate children who use AAC.

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