| Literature DB >> 30420847 |
Thibaud Boulant1, Yves-Marie Boudehen1, Alain Filloux2, Patrick Plesiat3, Thierry Naas1,4,5, Laurent Dortet1,2,4,5.
Abstract
Pseudomonas aeruginosa can manipulate eukaryotic host cells using secreted effectors delivered by the type III or the type VI Secretion Systems (T3SS and T6SS). The T3SS allows the injection of bacterial effectors (Exo toxins) into eukaryotic cell. P. aeruginosa, encodes three T6SSs, H1-, H2- and H3-T6SS. The H1-T6SS is mainly involved in delivering toxins to kill bacterial competitors. Recently, two T6SS-secreted phospholipases D, PldA (H2-T6SS) and PldB (H3-T6SS), were identified as trans-kingdom virulence effectors, triggering both killing of bacterial competitors and internalization into non-phagocytic cells. We deciphered the prevalence of T3SS and T6SS effectors encoding genes in 185 clinical isolates responsible for infections (septicaemia, pulmonary infections, urinary tract infections, and chronic infections in CF patients), 47 environmental strains, and on 33 carbapenemase-producers. We included 107 complete genomes of P. aeruginosa available in public databases. The prevalence of pldA is increased in clinical isolates responsible for severe acute infection and particularly in multi-drug resistant strains. In contrast, the pldB prevalence was high (96.8%) in all isolates. Regarding T3SS effectors, exoT and exoY are present in nearly all isolates while exoS and exoU were found to be exclusive with a higher prevalence of exoU + strains in severe acute infections. The hypervirulent exoU + isolates are more prone to be pldA +, suggesting a role of PldA in virulence. Finally, we observed that extremely drug resistant isolates producing an IMP-type carbapenemase were all pldA +. Our results suggest that PldA might have a role during pulmonary infections and have been co-selected in multidrug resistant strains particularly IMP-producers.Entities:
Keywords: Exo toxins; IMP; PldA; PldB; carbapenemase; multidrug resistance; type III secretion system; type VI secretion system
Year: 2018 PMID: 30420847 PMCID: PMC6215852 DOI: 10.3389/fmicb.2018.02578
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
List or primers used for the detection of T3SS and T6SS effectors.
| Secretion system | Gene | Primers | |
|---|---|---|---|
| Name | Sequences | ||
| T3SS | 5′-ccaggcctgccttacgactat-3′ | ||
| 5′-tcgtagtaccagcccgaggtt-3′ | |||
| 5′-atgccggtgtagagaccaag-3′ | |||
| 5′-aggtcagcagagtatcggc-3′ | |||
| 5′-tcgatcgatatctcgctgac-3′ | |||
| 5′-tgaacaggtcgtgaagacc-3′ | |||
| 5′-acgtaacagagctacgttgg-3′ | |||
| 5′-ttgatcatcagcagttactcg-3′ | |||
| 5′-tgccatagaatccgtcctcg-3′ | |||
| 5′-atgacctcttcctggtagcg-3′ | |||
| H1-T6SS | 5′-gtgcagatcgagtacgacg-3′ | ||
| 5′-tcttgccgtccatgtaggt-3′ | |||
| 5′-agggagtagacgtagtag-3′ | |||
| 5′-aagtacccgatgtgctggtg-3′ | |||
| 5′-acgaagttgtccagttgg-3′ | |||
| 5′-ttaaggtgaagcaggacagc-3′ | |||
| 5′-ttgctgtacttggtgacgg-3′ | |||
| 5′-atccagggtccgttcag-3′ | |||
| H2-T6SS | 5′-atggccaaagaaggctcggt-3′ | ||
| 5′-tggtgcttggccaggacctc-3′ | |||
| 5′-tgtcgatcaccacggatttc-3′ | |||
| 5′-tatgacttcgaaaccatgctcg-3′ | |||
| H3-T6SS | 5′-gtacgcagcacaagctggac-3′ | ||
| 5′-ttgaccgggtcgaagtcctc-3′ | |||
| 5′-ttcgatgttgttttcctggcc-3′ | |||
| 5′-aagaccacctacgacatgatg-3′ | |||
FIGURE 1Prevalence of T3SS effectors (A) and T6SS effectors (B) in Pseudomonas aeruginosa isolates recovered from acute pulmonary infections, septicaemia, UTIs, chronic infections in CF patients and environment. Correlation between the prevalence of exoS, exoU, and pldA is indicated in (C). Data were compared two-by-two using χ2 test (∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001; and ∗∗∗∗p < 0.0001). (D) Prevalence of pldA, exoU and pldA+ exoU in Pseudomonas aeruginosa isolates recovered from accute pulmonary infections, septicaemia, UTIs and chronic infections in CF patients.
FIGURE 2Prevalence of pldA in P. aeruginosa responsible for all type of infections (acute and chronic) (A) and acute infections (B) depending on the antimicrobial resistance phenotype. WT, wild-type phenotype; 1, resistance to one antimicrobial family, 2, resistance to two antimicrobial families; ≥3, resistance to three and more than three antimicrobial families. The antimicrobial families considered in the analysis were: penicillins (ticarcillin and piperacillin), broad-spectrum cephalosporins (ceftazidime and cefepime), carbapenems (imipenem and meropenem), fluroroquinolones (ciprofloxacine) and aminoglycosides (amikacin, tobramycin, and gentamicin). Raw numbers are indicated in side the bars. Statistical analysis was performed using χ2 test for trend.