Infection dynamics of endosymbionts that manipulate arthropod reproduction.

A large proportion of arthropod species are infected with endosymbionts, some of which selfishly alter host reproduction. The currently known forms of parasitic reproductive manipulations are male-killing, feminization, cytoplasmic incompatibility, parthenogenesis induction and distortion of sex allocation. While all of these phenomena represent adaptations that enhance parasite spread, they differ in the mechanisms involved and the consequent infection dynamics. We focus here on the latter aspect, summarizing existing theoretical literature on infection dynamics of all known reproductive manipulation types, and completing the remaining knowledge gaps where dynamics have not been modelled yet. Our unified framework includes the minimal model components required to describe the effects of each manipulation. We establish invasion criteria for all potential combinations of manipulative endosymbionts, yielding predictions for an endosymbiont's increase from rarity within a host population that is initially either uninfected or infected with a different symbiont strain. We consider diplodiploid and haplodiploid hosts, as the mechanisms as well as the infection dynamics of reproductive manipulations can differ between them. Our framework reveals that endosymbionts that a priori have the best invasion prospects are not necessarily the most commonly found ones in nature; priority effects play a role too, and cytoplasmic incompatibility excels in this regard. As a whole, considerations of the ease with which a symbiont spreads have to be complemented with knowledge of how easy it is to achieve a particular manipulation, and with factors influencing the probability that interspecific host switching occurs and succeeds.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-07-15
DOI
https://doi.org/10.48620/89480
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
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article

Infection dynamics of endosymbionts that manipulate arthropod reproduction.

Open Access CRIS of the University of Bern
Evolution and Genetic Dynamics
article

Infection dynamics of endosymbionts that manipulate arthropod reproduction.

article en

Abstract

A large proportion of arthropod species are infected with endosymbionts, some of which selfishly alter host reproduction. The currently known forms of parasitic reproductive manipulations are male-killing, feminization, cytoplasmic incompatibility, parthenogenesis induction and distortion of sex allocation. While all of these phenomena represent adaptations that enhance parasite spread, they differ in the mechanisms involved and the consequent infection dynamics. We focus here on the latter aspect, summarizing existing theoretical literature on infection dynamics of all known reproductive manipulation types, and completing the remaining knowledge gaps where dynamics have not been modelled yet. Our unified framework includes the minimal model components required to describe the effects of each manipulation. We establish invasion criteria for all potential combinations of manipulative endosymbionts, yielding predictions for an endosymbiont's increase from rarity within a host population that is initially either uninfected or infected with a different symbiont strain. We consider diplodiploid and haplodiploid hosts, as the mechanisms as well as the infection dynamics of reproductive manipulations can differ between them. Our framework reveals that endosymbionts that a priori have the best invasion prospects are not necessarily the most commonly found ones in nature; priority effects play a role too, and cytoplasmic incompatibility excels in this regard. As a whole, considerations of the ease with which a symbiont spreads have to be complemented with knowledge of how easy it is to achieve a particular manipulation, and with factors influencing the probability that interspecific host switching occurs and succeeds.

Open Access CRIS of the University of Bern
Ecologie & Evolution (FR)
Openalex Percentile: Top 53%
Evolution and Genetic Dynamics
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