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. Author manuscript; available in PMC: 2018 Mar 29.
Published in final edited form as: Mol Biosyst. 2014 Sep 19;11(1):20–27. doi: 10.1039/c4mb00438h

Table 1.

Mathematical models of CRISPR-Cas virus coevolution

Type Features Major results Ref.
SDE Single type of virus/plasmid, 5 types of hosts Strong defence against viruses, weak defence against plasmids 67
SDE 3 Types of hosts, 3 types of viruses Importance of multiple spacer–protospacer matches 65
SDE 6 Types of hosts with and without plasmids CRISPR-Cas loci might be selected to be labile 82
ABS Lattice population model, CRISPR arrays in host, protospacer arrays in virus Long-term virus–host and virus strain coexistence in spatially structured population 69, 70
ABS, SDE Strain-level host and virus representation; CRISPR arrays in host, protospacer arrays in virus Diversification of host and virus, incomplete selective sweeps 72, 73
ABS, SDE Strain-level host and virus representation; CRISPR arrays in host, protospacer arrays in virus Rapid fluctuations of host population distributed immunity (PDI), limiting effect of high PDI on virus diversity 74
ABS Strain-level host and virus representation; CRISPR arrays in host, protospacer arrays in virus Rapid selection sweeps, distal end conservation of CRISPR arrays 76
ABS Strain-level host and virus representation; CRISPR arrays in host, protospacer arrays in virus Virus diversity threshold for CRISPR-Cas maintenance 54
ABS Individual-level host and virus representation; CRISPR arrays in host, protospacer arrays in virus Direct correlation of virus diversity with population size, importance of multiple spacer–protospacer matches 71
SDE 2 Types of hosts, single type of virus Quasi-chaotic oscillations at high virus reproduction rates 66
ABS, SDE Strain-level host and virus representation; virus mutation and recombination, CRISPR arrays in host, protospacer arrays in virus Proximal end heterogeneity with distal end conservation of CRISPR arrays, effects of virus mutation and recombination depend on multiplicity of spacer–protospacer matches 78, 79
ABS Evolution of CRISPR arrays via acquisition and deletion Clock-like divergence of arrays, estimation of host phylogeny and divergence times by CRISPR array comparison 77
SDE Levels of processed and unprocessed CRISPR locus transcripts under expression and degradation Rapid upregulation of processed transcript abundance, phase transition-like behavior 80, 81