Epidemiological and evolutionary consequences of CRISPR-Cas reactivity

Chabas, H.; Müller, V.; Bonhoeffer, S.; Regoes, R. R.

doi:10.1101/2021.01.14.426534

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bioRxiv · 10.1101/2021.01.14.426534

Epidemiological and evolutionary consequences of CRISPR-Cas reactivity

Chabas, H.·Müller, V.·Bonhoeffer, S.·Regoes, R. R.

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Abstract

Adaptive immune systems face a control challenge: they should react with enough strength to clear an infection while avoiding to harm their organism. CRISPR-Cas systems are adaptive immune systems of prokaryotes that defend against fast evolving viruses. Here, we explore the CRISPR-Cas control challenge and look how its reactivity, i.e. its probability to acquire a new resistance, impacts the epidemiological outcome of a phage outbreak and the prokaryotes fitness. We show that in the absence of phage evolution, phage extinction is driven by the probability to acquire at least one resistance. However, when phage evolution is fast, phage extinction is characterised by an epidemiological critical threshold: any reactivity below this critical threshold leads to phage survival whereas any reactivity above it leads to phage extinction. We also show that in the absence of autoimmunity, high levels of reactivity evolve. However, when CRISPR-Cas systems are prone to autoimmune reactions, intermediate levels of reactivity are evolutionarily optimal. These results help explaining why natural CRISPR-Cas systems do not show high levels of reactivity. Author summaryCRISPR-Cas systems are adaptive immune systems that use a complex 3-step molecular mechanism to defend prokaryotes against phages. Viral infections of populations defending with CRISPR-Cas can result in rapid phage extinction or in medium-term phage maintenance. What controls phage fate? Using mathematical modeling, we show that two parameters control this outcome: the phage escape rate and CRISPR-Cas reactivity (i.e. its probability of resistance acquisition upon infection). Furthermore, CRISPR-Cas reactivity impacts host fitness. From this, we derive that 1) CRISPR-Cas reactivity is a key predictor of the efficiency and of the cost of a CRISPR-Cas system, 2) there is an optimal reactivity balancing the cost of autoimmunity and immune efficiency and 3) high phage escape rate selects for higher CRISPR-Cas reactivities.

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Chabas, H., Müller, V., Bonhoeffer, S., Regoes, R. R.. 2021-01-14. Epidemiological and evolutionary consequences of CRISPR-Cas reactivity. https://doi.org/10.1101/2021.01.14.426534

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