Building pyramids against the evolutionary emergence of pathogens

Mutations allowing pathogens to escape host immunity promote the spread of infectious diseases in heterogeneous host populations and can lead to major epidemics. Understanding the conditions that slow down this evolution is key for the development of durable control strategies against pathogens. Here, we use theory and experiments to compare the efficacy of three strategies for the deployment of resistance: (i) a mixing strategy where the host population contains two single-resistant genotypes, (ii) a pyramiding strategy where the host carries a double-resistant genotype, (iii) a combining strategy where the host population is a mix of a single-resistant genotype and a double-resistant genotype. First, we use evolutionary epidemiology theory to clarify the interplay between demographic stochasticity and evolutionary dynamics to show that the pyramiding strategy always yields lower probability of evolutionary emergence. Second, we test experimentally these predictions with the introduction of bacteriophages into bacterial populations where we manipulated the diversity and the depth of immunity using a Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated (CRISPR-Cas) system. These biological assays confirm that pyramiding multiple defences into the same host genotype and avoiding combination with single-defence genotypes is a robust way to reduce pathogen evolutionary emergence. The experimental validation of these theoretical recommendations has practical implications in various areas, including for the optimal deployment of resistance varieties in agriculture and for the design of durable vaccination strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:291

Enthalten in:

Proceedings. Biological sciences - 291(2024), 2018 vom: 13. März, Seite 20231529

Sprache:

Englisch

Beteiligte Personen:

Gandon, Sylvain [VerfasserIn]
Guillemet, Martin [VerfasserIn]
Gatchitch, François [VerfasserIn]
Nicot, Antoine [VerfasserIn]
Renaud, Ariane C [VerfasserIn]
Tremblay, Denise M [VerfasserIn]
Moineau, Sylvain [VerfasserIn]

Links:

Volltext

Themen:

Bacteriophage
CRISPR resistance
Demographic stochasticity
Epidemiology
Evolutionary emergence
Infectious disease control
Journal Article

Anmerkungen:

Date Completed 14.03.2024

Date Revised 14.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1098/rspb.2023.1529

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369612736