| Literature DB >> 31580793 |
Samuel Willcocks1, Kristin K Huse1, Richard Stabler1, Petra C F Oyston2, Andrew Scott2, Helen S Atkins3,2, Brendan W Wren1.
Abstract
Yersinia pseudotuberculosis is a Gram-negative bacterium capable of causing gastrointestinal infection and is closely related to the highly virulent plague bacillus Yersinia pestis. Infections by both species are currently treatable with antibiotics such as ciprofloxacin, a quinolone-class drug of major clinical importance in the treatment of many other infections. Our current understanding of the mechanism of action of ciprofloxacin is that it inhibits DNA replication by targeting DNA gyrase, and that resistance is primarily due to mutation of this target site, along with generic efflux and detoxification strategies. We utilized transposon-directed insertion site sequencing (TraDIS or TnSeq) to identify the non-essential chromosomal genes in Y. pseudotuberculosis that are required to tolerate sub-lethal concentrations of ciprofloxacin in vitro. As well as highlighting recognized antibiotic resistance genes, we provide evidence that multiple genes involved in regulating DNA replication and repair are central in enabling Y. pseudotuberculosis to tolerate the antibiotic, including DksA (yptb0734), a regulator of RNA polymerase, and Hda (yptb2792), an inhibitor of DNA replication initiation. We furthermore demonstrate that even at sub-lethal concentrations, ciprofloxacin causes severe cell-wall stress, requiring lipopolysaccharide lipid A, O-antigen and core biosynthesis genes to resist the sub-lethal effects of the antibiotic. It is evident that coping with the consequence(s) of antibiotic-induced stress requires the contribution of scores of genes that are not exclusively engaged in drug resistance.Entities:
Keywords: TnSeq; TraDIS; Yersinia pseudotuberculosis; antibiotics; antimicrobial resistance; ciprofloxacin
Mesh:
Substances:
Year: 2019 PMID: 31580793 PMCID: PMC6927301 DOI: 10.1099/mgen.0.000304
Source DB: PubMed Journal: Microb Genom ISSN: 2057-5858
Fig. 1.Graphical representation of transposon mutant library selection by ciprofloxacin treatment. Read counts for each gene following TraDIS were expressed as a proportion of the total read count across the entire genome either with or without ciprofloxacin treatment – selected genes showing negative selection by ciprofloxacin treatment are highlighted (a); log2-fold change ratios were calculated for every gene and their frequency was plotted to demonstrate the distribution of values, with most genes accounting for within a range of −1 and +1 fold change from the untreated control (b); the log2-fold change values for every gene in the genome were ranked and selected genes highlighted (c).
A selection of genes with related function required by to survive sub-MIC ciprofloxacin
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YPTB0051 |
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Lipopolysaccharide core biosynthesis glycosyl transferase |
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YPTB0053 |
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Lipopolysaccharide heptosyltransferase-1 |
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YPTB0054 |
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ADP-heptose-LPS heptosyltransferase II |
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YPTB0055 |
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ADP- |
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YPTB0172 |
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dTDP-glucose 4,6-dehydratase |
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YPTB0173 |
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Glucose-1-phosphate thymidylyltransferase |
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YPTB0175 |
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dTDP-4-amino-4,6-dideoxygalactose transaminase |
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YPTB0177 |
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TDP- |
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YPTB0229 |
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ABC type branched-chain amino acid transport |
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YPTB0263 |
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Transcription antitermination protein |
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YPTB0775 |
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Lipoprotein |
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YPTB0998 |
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CDP-6-deoxy- |
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YPTB1001 |
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Putative CDP-4-keto-6-deoxy- |
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YPTB1002 |
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Paratose synthase |
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YPTB1003 |
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Putative exported protein |
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YPTB1004 |
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Putative O-unit flippase |
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YPTB1005 |
YPTB1005 |
Uncharacterized protein |
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YPTB1006 |
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Putative mannosyltransferase |
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YPTB1008 |
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Putative mannosyltransferase |
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YPTB1009 |
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GDP-mannose 4,6-dehydratase |
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YPTB1010 |
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GDP- |
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YPTB1011 |
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Mannose-1-phosphate guanylyltransferase |
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YPTB1012 |
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Probable glycosyltransferase |
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YPTB1453 |
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Outer membrane protein |
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YPTB1622 |
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Lipid A palmitoyltransferase |
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YPTB1914 |
YPTB1914 |
ABC sugar (sorbitol/trehalose/maltose) transporter, permease subunit |
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YPTB2014 |
YPTB2014 |
Putative ABC transporter |
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YPTB2327 |
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Probable 4-deoxy-4-formamido- |
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YPTB3041 |
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Lysophospholipid transporter |
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YPTB3407 |
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Bifunctional protein - ADP- |
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YPTB3955 |
YPTB3955 |
ABC amino acid transporter |
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YPTB3964 |
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Glutamine-fructose-6-phosphate aminotransferase |
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YPTB3965 |
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Bifunctional protein GlmU |
Fig. 2.Y. Pseudotuberculosis hda::kanR and dksa::kanR lack expression of wild-type hda and dksa. 1=dksa (a) or hda (b) -specific primers versus dksa::kanR or hda::kanR gDNA; 2=dksa (a) or hda (b) -specific primers versus wild-type IP32956 gDNA; 3=kanR-specific primers versus dksa::kanR or hda::kanR gDNA
Fig. 3.Growth rate of hda::kanR and dksa::kanR mutants. Wild-type or mutant were grown in fresh BAB liquid culture at 28 °C and optical density (600 nm) was recorded over 24 h. Regression analysis was conducted and both hda::kanR (P<0.001, R 2=0.98) and dksa::kanR (P<0.001, R 2=0.97) strains were found to have significantly reduced growth rate.
Fig. 4.Y. Pseudotuberculosis hda::kanR and dksa::kanR are significantly more sensitive than the wild-type to ciprofloxacin. wild-type strain IP32956 and mutants identified as ciprofloxacin-sensitive by TraDIS were treated with ciprofloxacin or alternative antibiotics for 16 h and then subjected to alamar blue metabolic assay (a) or plated for c.f.u. enumeration (b). For metabolic assays, values are all normalized relative to the untreated condition for each strain. All statistical comparisons are Student’s t-test versus the wild-type strain for the same antibiotic treatment condition (*P<0.01)
Fig. 5.Y. Pseudotuberculosis dksa::kanR and hda::kanR are sensitive to oxidative stress and inhibition of DNA replication, respectively. Bacterial strains were incubated with a titration of either cumyl hydroperoxide (a), hydrogen peroxide (b) or hydroxyurea (c) in fresh BAB liquid culture at 28 °C for 24 h prior to assessment of bacterial growth by optical density. Values are all normalized relative to the untreated condition for each strain. All statistical comparisons are Student’s t-test versus the wild-type strain for the same antibiotic treatment condition (*P<0.01).
Fig. 6.Dksa and hda contribute to intracellular fitness. An m.o.i. of 0.1 was used to infect IFNγ-activated murine RAW 264.7 cells for 1 h, followed by washing (T=0) and lysis after 24 h (T=24) before enumeration by c.f.u. (a). Extracellular growth was controlled by using 100 µg imipenem ml−1. Before and during cell infection, cells were treated or not with IFB and cell activation was measured indirectly by quantification of nitrite in culture supernatant by Griess assay (b). All statistical comparisons are Student’s t-test versus the wild-type strain for the same antibiotic treatment condition (*P<0.01) (a) or between activated versus resting macrophages at each time point (b).
Fig. 7.hda::kanR and dksa::kanR have attenuated virulence in vivo. In total, 1×106 Y. pseudotuberculosis wild-type, mutant bacilli or sterile PBS control were injected into Galleria mellonella larvae and survival was quantified over 48 h (a). Post-mortem, bacterial burden in the haemolymph was assessed and enumerated by a c.f.u. assay (b). All statistical comparisons are Student’s t-test of survival groups for each condition at 48 h versus 24 h (*P<0.01).