Literature DB >> 27015951

A Population Biology Perspective on the Stepwise Infection Process of the Bacterial Pathogen Pasteuria ramosa in Daphnia.

Dieter Ebert1, David Duneau2, Matthew D Hall3, Pepijn Luijckx4, Jason P Andras5, Louis Du Pasquier1, Frida Ben-Ami6.   

Abstract

The infection process of many diseases can be divided into series of steps, each one required to successfully complete the parasite's life and transmission cycle. This approach often reveals that the complex phenomenon of infection is composed of a series of more simple mechanisms. Here we demonstrate that a population biology approach, which takes into consideration the natural genetic and environmental variation at each step, can greatly aid our understanding of the evolutionary processes shaping disease traits. We focus in this review on the biology of the bacterial parasite Pasteuria ramosa and its aquatic crustacean host Daphnia, a model system for the evolutionary ecology of infectious disease. Our analysis reveals tremendous differences in the degree to which the environment, host genetics, parasite genetics and their interactions contribute to the expression of disease traits at each of seven different steps. This allows us to predict which steps may respond most readily to selection and which steps are evolutionarily constrained by an absence of variation. We show that the ability of Pasteuria to attach to the host's cuticle (attachment step) stands out as being strongly influenced by the interaction of host and parasite genotypes, but not by environmental factors, making it the prime candidate for coevolutionary interactions. Furthermore, the stepwise approach helps us understanding the evolution of resistance, virulence and host ranges. The population biological approach introduced here is a versatile tool that can be easily transferred to other systems of infectious disease.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coevolution; Daphnia magna; Host–parasite interaction; Pasteuria ramosa; Steps of infection

Mesh:

Year:  2015        PMID: 27015951     DOI: 10.1016/bs.apar.2015.10.001

Source DB:  PubMed          Journal:  Adv Parasitol        ISSN: 0065-308X            Impact factor:   3.870


  15 in total

1.  Can pathogens optimize both transmission and dispersal by exploiting sexual dimorphism in their hosts?

Authors:  Louise Solveig Nørgaard; Ben L Phillips; Matthew D Hall
Journal:  Biol Lett       Date:  2019-06-19       Impact factor: 3.703

2.  Linking sex differences to the evolution of infectious disease life-histories.

Authors:  Matthew D Hall; Nicole Mideo
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-10-05       Impact factor: 6.237

3.  Infection phenotypes of a coevolving parasite are highly diverse, structured, and specific.

Authors:  Maridel Fredericksen; Camille Ameline; Michelle Krebs; Benjamin Hüssy; Peter D Fields; Jason P Andras; Dieter Ebert
Journal:  Evolution       Date:  2021-08-30       Impact factor: 4.171

4.  The genetic basis of resistance and matching-allele interactions of a host-parasite system: The Daphnia magna-Pasteuria ramosa model.

Authors:  Gilberto Bento; Jarkko Routtu; Peter D Fields; Yann Bourgeois; Louis Du Pasquier; Dieter Ebert
Journal:  PLoS Genet       Date:  2017-02-21       Impact factor: 5.917

5.  An alternative route of bacterial infection associated with a novel resistance locus in the Daphnia-Pasteuria host-parasite system.

Authors:  Gilberto Bento; Peter D Fields; David Duneau; Dieter Ebert
Journal:  Heredity (Edinb)       Date:  2020-06-19       Impact factor: 3.821

6.  Assessment of parasite virulence in a natural population of a planktonic crustacean.

Authors:  Eevi Savola; Dieter Ebert
Journal:  BMC Ecol       Date:  2019-03-14       Impact factor: 2.964

7.  Infection in patchy populations: Contrasting pathogen invasion success and dispersal at varying times since host colonization.

Authors:  Louise S Nørgaard; Ben L Phillips; Matthew D Hall
Journal:  Evol Lett       Date:  2019-09-24

8.  Temperature and pathogen exposure act independently to drive host phenotypic trajectories.

Authors:  Tobias E Hector; Carla M Sgrò; Matthew D Hall
Journal:  Biol Lett       Date:  2021-06-16       Impact factor: 3.703

9.  Stochastic variation in the initial phase of bacterial infection predicts the probability of survival in D. melanogaster.

Authors:  Brian P Lazzaro; Nicolas Buchon; David Duneau; Jean-Baptiste Ferdy; Jonathan Revah; Hannah Kondolf; Gerardo A Ortiz
Journal:  Elife       Date:  2017-10-12       Impact factor: 8.140

10.  Independent effects on cellular and humoral immune responses underlie genotype-by-genotype interactions between Drosophila and parasitoids.

Authors:  Alexandre B Leitão; Xueni Bian; Jonathan P Day; Simone Pitton; Eşref Demir; Francis M Jiggins
Journal:  PLoS Pathog       Date:  2019-10-07       Impact factor: 6.823

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