PLoS Genetics · 2013 · 176 citations · 39 references
Life SciencesEvolutionary BiologyMolecular BiologyAdaptive ImmunityMicrobial EvolutionMicrobial GeneticsAdaptive Immune ResponsesBacterial ImmunologyCrispr-cas SystemsHost-microbe CoevolutionMolecular Evolution In MicrobesPhage GeneticsAdaptive Immune EscapeAdaptive Immune System EvolutionEvolutionary Population DynamicsMolecular Arms RacePhage InfectionPhage Resistance EvolutionPhage Resistance MechanismsPhage-host Interactions
CRISPR–cas systems provide adaptive immunity to bacteria and archaea against viruses and plasmids. The study investigates host–phage dynamics in *Streptococcus thermophilus* DGCC7710 and phage 2972 using mathematical models, population‑dynamic experiments, and DNA sequencing, and discusses ecological implications. Researchers combined mathematical modeling, population‑dynamic experiments, and DNA sequence analysis, and further examined phage‑induced enzyme production that confers phenotypic resistance to sensitive bacteria and kills resistant BIMs. Bacterial and phage mutants behaved as predicted by an iterative CRISPR model, yet high BIM and CEM frequencies, incomplete single‑spacer resistance, survival of sensitive bacteria, and phage‑limited communities revealed a more complex arms race driven by phage‑produced factors that induce phenotypic resistance and eliminate BIMs.
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), together with associated genes (cas), form the CRISPR–cas adaptive immune system, which can provide resistance to viruses and plasmids in bacteria and archaea. Here, we use mathematical models, population dynamic experiments, and DNA sequence analyses to investigate the host–phage interactions in a model CRISPR–cas system, Streptococcus thermophilus DGCC7710 and its virulent phage 2972. At the molecular level, the bacteriophage-immune mutant bacteria (BIMs) and CRISPR–escape mutant phage (CEMs) obtained in this study are consistent with those anticipated from an iterative model of this adaptive immune system: resistance by the addition of novel spacers and phage evasion of resistance by mutation in matching sequences or flanking motifs. While CRISPR BIMs were readily isolated and CEMs generated at high rates (frequencies in excess of 10−6), our population studies indicate that there is more to the dynamics of phage–host interactions and the establishment of a BIM–CEM arms race than predicted from existing assumptions about phage infection and CRISPR–cas immunity. Among the unanticipated observations are: (i) the invasion of phage into populations of BIMs resistant by the acquisition of one (but not two) spacers, (ii) the survival of sensitive bacteria despite the presence of high densities of phage, and (iii) the maintenance of phage-limited communities due to the failure of even two-spacer BIMs to become established in populations with wild-type bacteria and phage. We attribute (i) to incomplete resistance of single-spacer BIMs. Based on the results of additional modeling and experiments, we postulate that (ii) and (iii) can be attributed to the phage infection-associated production of enzymes or other compounds that induce phenotypic phage resistance in sensitive bacteria and kill resistant BIMs. We present evidence in support of these hypotheses and discuss the implications of these results for the ecology and (co)evolution of bacteria and phage.
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