Conditions for the spread of CRISPR-Cas immune systems into bacterial populations

Josie F.K. Elliott, David V. McLeod, Tiffany B. Taylor, Edze R. Westra, Sylvain Gandon, Bridget N.J. Watson

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Abstract

Bacteria contain a wide variety of innate and adaptive immune systems which provide protection to the host against invading genetic material, including bacteriophages (phages). It is becoming increasingly clear that bacterial immune systems are frequently lost and gained through horizontal gene transfer. However, how and when new immune systems can become established in a bacterial population have remained largely unstudied. We developed a joint epidemiological and evolutionary model that predicts the conditions necessary for the spread of a CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated) immune system into a bacterial population lacking this system. We found that whether bacteria carrying CRISPR-Cas will spread (increase in frequency) into a bacterial population depends on the abundance of phages and the difference in the frequency of phage resistance mechanisms between bacteria carrying a CRISPR-Cas immune system and those not (denoted as ${f}_{\Delta }$). Specifically, the abundance of cells carrying CRISPR-Cas will increase if there is a higher proportion of phage resistance (either via CRISPR-Cas immunity or surface modification) in the CRISPR-Cas-possessing population than in the cells lacking CRISPR-Cas. We experimentally validated these predictions in a model using Pseudomonas aeruginosa PA14 and phage DMS3vir. Specifically, by varying the initial ratios of different strains of bacteria that carry alternative forms of phage resistance, we confirmed that the spread of cells carrying CRISPR-Cas through a population can be predicted based on phage density and the relative frequency of resistance phenotypes. Understanding which conditions promote the spread of CRISPR-Cas systems helps to predict when and where these defences can become established in bacterial populations after a horizontal gene transfer event, both in ecological and clinical contexts.

Original languageEnglish
JournalThe ISME journal
Volume18
Issue number1
DOIs
Publication statusPublished - 19 Jun 2024

Data Availability Statement

All data generated or analysed during this study are included in this published article as a Supplementary Data file: https://doi.org/10.5281/zenodo.10558270.

Acknowledgements

We thank Vicky Bennett, Ocean Clark, and Ellinor Alseth for supplying qPCR amplification primers used in this study. Additional thanks to Bruce Levin, Brandon Berryhill, Garcia Gonzalez, and Mario Recker for useful discussion.

Keywords

  • bacteria–phage interactions
  • CRISPR-Cas
  • ecology
  • evolutionary epidemiology
  • horizontal gene transfer
  • mathematical theory
  • microbial ecology and evolution
  • resistance evolution

ASJC Scopus subject areas

  • Microbiology
  • Ecology, Evolution, Behavior and Systematics

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