| Literature DB >> 36081773 |
Nina Cramer1,2, Marie Luise Nawrot1, Lion Wege1,3, Marie Dorda4, Charline Sommer2,5, Olga Danov2,5, Sabine Wronski2,5, Armin Braun2,5, Danny Jonigk2,6, Sebastian Fischer1, Antje Munder1,2, Burkhard Tümmler1,2.
Abstract
Chronic respiratory infections with the gram-negative bacterium Pseudomonas aeruginosa are an important co-morbidity for the quality of life and prognosis of people with cystic fibrosis (CF). Such long-term colonization, sometimes lasting up to several decades, represents a unique opportunity to investigate pathogen adaptation processes to the host. Our studies aimed to resolve if and to what extent the bacterial adaptation to the CF airways influences the fitness of the pathogen to grow and to persist in the lungs. Marker-free competitive fitness experiments of serial P. aeruginosa isolates differentiated by strain-specific SNPs, were performed with murine and human precision cut lung slices (PCLS). Serial P. aeruginosa isolates were selected from six mild and six severe CF patient courses, respectively. MPCLS or hPCLS were inoculated with a mixture of equal numbers of the serial isolates of one course. The temporal change of the composition of the bacterial community during competitive growth was quantified by multi-marker amplicon sequencing. Both ex vivo models displayed a strong separation of fitness traits between mild and severe courses. Whereas the earlier isolates dominated the competition in the severe courses, intermediate and late isolates commonly won the competition in the mild courses. The status of the CF lung disease rather than the bacterial genotype drives the adaptation of P. aeruginosa during chronic CF lung infection. This implies that the disease status of the lung habitat governed the adaptation of P. aeruginosa more strongly than the underlying bacterial clone-type and its genetic repertoire.Entities:
Keywords: adaptation; chronic bacterial infection; cystic fibrosis; ex vivo model; host defense; precision-cut lung slices; pseudomonas aeruginosa
Mesh:
Year: 2022 PMID: 36081773 PMCID: PMC9446154 DOI: 10.3389/fcimb.2022.992214
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 6.073
Figure 1Outline of the competitive fitness experiments in murine and human PCLS.
Figure 2Outcome of competitive fitness experiments of 12 longitudinal courses in murine (left) and human PCLS (right). Relative growth changes of serial P. aeruginosa isolates during competitive fitness experiments are compared at 4 h and 8 h, respectively. Severe longitudinal courses are labeled with red, mild courses with blue letters. Each serial isolate is differentiated by color sorted by increasing colonization time of the clone in the patient’s lungs: P. aeruginosa strains marked without a black outer ring were recovered at such low quantities that the strain-specific SNP counts were classified as ‘detectable, but not quantifiable’ (see Material and methods section). The axis labeling as well as the scaling and the color of the isolates are explained in more detail in showing all plots at higher resolution. shows the outcome of the other biological replicate.
Figure 3Relative proportions of serial isolates during competitive growth in murine (left) and human PCLS (right) after 4 hours and 8 hours. For each serial isolate of the twelve longitudinal courses, its fraction in the clonal community at the time points 0 h, 4 h and 8 h is shown. Longitudinal courses are differentiated by a bold letter (severe courses in red; mild courses in blue). Each serial isolate is depicted by color sorted by increasing colonization time of the clone in the patient’s lungs. For more detailed information see . For outcome of the second biological replicate see .
Figure 4Outcome of competitive fitness experiments in mPCLS and hPCLS after 4 h and 8 h. Serial P. aeruginosa isolates from mild courses (upper panel) and severe courses (lower panel) were grouped by colonization time in CF patients’ lungs time in early, intermediate and late isolates (see / for details). Relative growth changes are shown for the individual strains of the three groups. The number of data points per group depends on the number of isolates assigned to that group. Since early/late isolates were assigned to the first/last quartile of the infection period, respectively, the intermediate isolates extend to the inner two quartiles and are therefore quantitatively superior. Statistics and thus the significance were calculated with the help of Kruskal-Wallis. All p-values were corrected for multiple testing by Bonferroni correction.