Published June 15, 2022 | Version v1
Journal article Open

Competition and coevolution drive the evolution and the diversification of CRISPR immunity

  • 1. CEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France
  • 2. Institute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland
  • 3. Bioinformatics Research Centre, Aarhus University, Aarhus C, Denmark
  • 4. Departement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec City, G1V 0A6, Canada ; Groupe de recherche en écologie buccale, Faculté de médecine dentaire, Université Laval, Québec City, G1V 0A6, Canada ; Félix d'Hérelle Reference Center for Bacterial Viruses, Université Laval, Québec City, G1V 0A6, Canada

Description

Data for the paper :

"Competition and coevolution drive the evolution and the diversification of CRISPR immunity"

Does NOT contain sequencing data (they are available on NCBI, BioProject PRJNA843584)

Bacteria_density.csv
Density of bacteria (cfu/ml) in all replicates at all times. B: Treatment A ; Pw: Treatment B ; PR: Treatment C

Phages_density.csv
Density of phages (pfu/ml) in all replicates at all times. B: Treatment A ; Pw: Treatment B ; PR: Treatment C

NC_007019.1.fasta
Genome of bacteriophage 2972 downloaded from https://www-ncbi-nlm-nih-gov.inee.bib.cnrs.fr/nuccore/66391759

NC_007019.1_T0.fasta
Genome of bacteriophage 2972, updated to include the mutations observed in the mix of phages at T0 in treatment B.

Mutations.xlsx
This file shows the mutations in the genome of the 16 starting resistant bacteria compared to the sensitive ancestor DGCC 7710. All mutations were confirmed via Sanger sequencing of PCR products amplified from the chromosome of the BIMs. The sheet ‘BIM mutation details’ shows for each resistant bacteria details on the mutations detected, as well as the annotation of the protein produced by the mutated gene or the name of the gene when possible. As some mutations are observed in several bacteria, the sheet ‘Simplified combined mutations’ synthetically shows the presence/absence of mutations to the locus tag/gene level precision in each bacterial genotype. The effect of the mutation is shown with a color code, described below the table.

 

Processed data:

The following files are here as starting point to analyze data without having to process of raw data.

Bacteria_data.csv
Sequencing of bacteria populations: This file contains the frequency of each host genotype through time in all replicates. For the Genotypes, ‘start-end’ corresponds to the susceptible DGCC 7710. Any ‘PAM\_XXX’ between ‘start’ and ‘end’ indicates the presence of spacer XXX in this genotype. This pattern can be present several times for multi-resistant genotypes. Spacers are named according to the middle position of the corresponding protospacer in the phage. 

Phage_data.csv
Sequencing of phage populations: This file contains the frequency of each phage mutation through time in all replicates. It contains the type, the position on the genome, the reference allele, the mutated allele and the frequency of each mutations. The column with time 0 do not show replicate number next to the treatment as the sequencing was done for the phage mix used at the beginning of all replicates for each treatment.

Matching_data.csv
Dynamics of phage mutations that escape CRISPR immunity: This file contains the host spacer frequency and the corresponding phage mutation frequency through time in all replicates. Spacers are named according to the middle position of the corresponding protospacer in the phage. Many lines contain frequencies of 0 as they were not filtered for computation purposes.


 

Files

Bacteria_data.csv

Files (1.2 MB)

Name Size Download all
md5:dfefb5c61b45298b8cb8e7d5c4354629
869.9 kB Preview Download
md5:02ded792baff44adaa566d6d8f0d0b7c
2.0 kB Preview Download
md5:ff85d4f8387550c77e65d7e265e8c722
199.5 kB Preview Download
md5:adabb35e9752d4e4292ef02d3b59935e
25.5 kB Download
md5:df4779b5bdba5d3281745659e8c05305
35.3 kB Download
md5:9594f8fd2e4c5843db796ac930b8a094
35.4 kB Download
md5:60094f12d0e9efea2ea2c4a237a015d8
78.4 kB Preview Download
md5:0771321899df33ade71942cf921805db
1.8 kB Preview Download