Abstract
Introduction
Pseudomonas aeruginosa (PA) is a bacterial species commonly isolated from human clinical specimens. Despite being present in the environment as a saprophyte, PA possesses the ability to cause human infections, especially among debilitated patients. It is therefore essential to understand the genomic imprints of antimicrobial resistance (AMR) and virulence genes associated with PA isolated from patient samples.
Methods
The study carried out next-generation sequencing (NGS) or whole-genome sequencing (WGS) of nine PA strains isolated from various human clinical specimens from patients at Prathima Institute of Medical Sciences, Karimnagar, India. All the isolates were identified by conventional microbiological methods and confirmed by automated systems. Antimicrobial susceptibility patterns of the isolates were carried out using the Kirby-Bauer disc diffusion method. Additionally, NGS/WGS was done to evaluate the carriage of AMR and virulence genes associated with each PA strain. Sequence type was identified through multi-locus sequence typing (MLST).
Results
The genotype and phenotypic antimicrobial susceptibility patterns revealed the same (11.11% resistance) results with carbapenems and fluoroquinolone antibiotics. However, discordant antimicrobial susceptibility patterns were noticed with trimethoprim-sulfamethoxazole (66.66% resistance phenotype vs. 100% sensitive genotype), aminoglycosides (100% sensitive phenotype vs. 100% resistant genotype), and beta-lactamase/extended-spectrum beta-lactamase (ESBL) (44.44% sensitive phenotype vs. 100% resistant genotype) antibiotics. All (100%, 9/9) the PA isolates included in the study demonstrated the presence of multiple antibiotic resistance and virulence genes. The antibiotic resistance genes identified included aph, aad, aac, blaPDC, blaOXA, blaVIM, catB7, fosA, qnrVC1, and crpP. All (100%, 9/9) isolates demonstrated the presence of class C beta-lactamase blaPDC and class B metallo-beta-lactamase blaOXA. Only one (11.11%, 1/9) isolate showed the presence of subclass B1 metallo-beta-lactamase blaVIM. Among the virulence genes identified were toxA, fih, xcp, wzz, pvc, pvd, and many others. This study showed the presence of ST244, a high-risk PA strain with global significance.
Conclusions
PA is an opportunistic pathogen, and its isolation among hospitalized patients should be carefully evaluated. Tracking PA for the presence of high-risk sequence types and the prevalence of resistance and virulence genes could improve the understanding of the organism. Molecular data obtained from this study demonstrated that the PA isolates carried multiple antibiotic-resistant and virulence genes that could potentially enable them to cause invasive infections and treatment failures. The data obtained from this study could be applied to devise treatment and management strategies favorable to the hospital or healthcare institution.
Keywords: antimicrobial resistance, esbl, genotype, next-generation sequencing (ngs), phenotype, pseudomonas aeruginosa, virulence, whole-genome sequencing
Introduction
Pseudomonas is a ubiquitous bacterium living in the environment, especially near human habitats [1]. It is a saprophytic bacteria found in water and soil, including hospital environments [2]. However, Pseudomonas aeruginosa (PA) has been associated with serious infections in hospitals known as nosocomial infections, hospital-acquired infections, or healthcare-associated infections (HAIs). These infections are generally noted among debilitated patients like newborn babies/neonates, intubated patients, critically ill patients, and patients admitted to intensive care units (ICUs), among others [3-5]. Pseudomonas species (spp.) are also known to contaminate antiseptics, survive in the harshest environments, and acquire multi-drug resistance (MDR) [6]. PA is an established opportunistic pathogen that uses the weakened host defense system to cause invasive diseases [7]. The infection of the lungs in patients suffering from cystic fibrosis is one of the best examples of how PA utilizes the compromised host environment and defenses to establish itself to cause disease. PA can survive in biotic and abiotic environments, intrinsically develop antibiotic resistance, form biofilms, and use quorum sensing and other adaptive mechanisms [2].
Pseudomonas has been named under the critical group of bacteria against which there is an urgent need to develop newer antimicrobial agents by the World Health Organization (WHO) [8]. Moreover, PA demonstrates MDR is an important member of the ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, PA, and Enterobacter) pathogens [9]. Infections with PA can become difficult to treat due to MDR. PA is known to develop chromosomal mutation-induced antibiotic resistance. Additionally, PA can acquire resistance through gene transfer mechanisms, including horizontal gene transfers (HGTs) and the transfer of mobile genetic elements like plasmids and transposons [10].
Given the ubiquitous nature of PA and its ability to survive in the environment and cause mild to severe infections, especially among hospitalized patients, it is essential to understand the virulence mechanisms of this bacterium. This study was carried out among PA isolated from different human clinical conditions. The genotypic and phenotypic antibiotic susceptibility patterns, AMR and virulence genes, and sequence types were evaluated.
Materials and methods
An observational, analytical, and cross-sectional study was conducted among patients attending the Prathima Institute of Medical Sciences (PIMS), Karimnagar, India, between January 2019 and January 2022. Nine PA bacterial isolates showing MDR were collected. The samples collected were pus (five), respiratory specimens including sputum (two) and endotracheal secretions (one), and blood (one). The identification of bacteria and antimicrobial susceptibility testing (AST) of isolates was determined using both conventional methods and VITEK® (bioMérieux, Inc., USA), an automated identification system [11,12]. The results were interpreted as per the Clinical and Laboratory Standards Institute (CLSI) guidelines [13].
Bacterial identification
Conventional methods, including cultural characteristics, biochemical reactions, and pigment production, identified PA. The bacteria appearing as gram-negative bacilli on Gram stain, motile, positive for oxidase, catalase, and citrate utilization, and negative results for urease, along with non-lactose fermenting colonies on Mackonkey's agar and greenish diffusible pigment on nutrient agar, were established as PA. All isolates were confirmed using VITEK® (bioMérieux, Inc.).
Antimicrobial susceptibility testing
The Kirby-Bauer disk diffusion method was applied to carry out antibiotic susceptibility testing. Two to three pure PA colonies from overnight bacterial growth (inoculum) were taken from the culture plate. The inoculum was mixed well into the peptone water/sterile saline. Later, it was incubated at 37°C for 1-2 hours. The test tube now shows growth in the form of turbidity. The turbidity was adjusted to match McFarland standards. The McFarland standards were achieved manually by comparing and adjusting the culture turbidity with a solution prepared by mixing 0.05 mL of 1% barium chloride and 9.95 mL of 1% sulfuric acid.
Later, sterile cotton swabs were used to prepare the test organisms' lawn culture/carpet culture on Mueller-Hinton agar (MHA). Different antibiotic-impregnated filter paper disks were applied with the help of sterile forceps. The plates were incubated overnight at 37°C for 12-18 hours. After the incubation, organisms sensitive/susceptible to the antibiotic fail to grow near the antibiotic discs, forming a zone of inhibition/clearance, measured in millimeters (mm). However, bacteria resistant to an antibiotic grow closer/toward the edge of the antibiotic-impregnated disk. PA isolates were designated MDR when they demonstrated resistance to at least one agent in three or more antimicrobial classes.
The antibiotic classes tested were carbapenem group-imipenem (IPM) (10 µg); aminoglycosides-amikacin (AK) (30 µg), gentamicin (GEN) (10 µg); fluoroquinolones-ciprofloxacin (CIP) (5 µg), ofloxacin (OF) (5 µg); sulphonamide-trimethoprim-sulfamethoxazole (TSX) (1.25/23.75 µg); Cephalosporins-ceftazidime (CAZ) (10 µg), ceftriaxone (CTR) (30 µg), cefotaxime (CTX) (30 µg), cephalothin (30 µg); beta-lactamase/extended-spectrum beta-lactamase (ESBL)-piperacillin-tazobactam (PTZ) (30/6 µg). PA ATCC 27853 was used as a control strain.
Whole-genome sequencing (WGS)/next-generation sequencing (NGS)
Genomic deoxyribonucleic acid (DNA) was extracted from PA isolates using the Qiagen QIAamp DNA Mini kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. Double-stranded DNA libraries with 450 base pairs (bp) insert size were prepared and sequenced on the Illumina platform with 150 bp paired-end chemistry. The genomes that passed sequence quality control were assembled using Spades v3.14 [14] to generate contigs and annotated with Prokka v1.5 [15]. The species identification was done using bactinspector and contamination was assessed using confindr. All the quality metrics were combined using MultiQC and Qualifyr to generate web-based reports. Multi-locus sequence typing (MLST), AMR, and virulence factors were identified using ARIBA tool v2.14.4 with BIGSdb-Pasteur MLST database, National Center for Biotechnological Information (NCBI) AMR acquired gene, and PointFinder databases and VFDB, respectively [16-19]. All the bioinformatic analysis was performed using Nextflow pipelines developed as a part of the Global Health Research Unit (GHRU), United Kingdom, for AMR surveillance as detailed in www.protocols.io.
Results
Among the samples included, five (55.56%) were pus, four (44.44%) were respiratory specimens, including sputum and endotracheal secretions, and one (11.11%) was blood. The age of the patients included in the study was 43.33±25.96 years, and among them, four (44.44%) were females and five (55.56%) were males. The genotype and phenotypic antimicrobial susceptibility patterns revealed the same (11.11% resistance) results with carbapenems and fluoroquinolone antibiotics. However, discordant patterns were noticed with co-trimoxazole (66.66% resistance phenotype vs. 100% sensitive genotype), aminoglycosides (100% sensitive phenotype vs. 100% resistant genotype), and beta-lactamase/extended-spectrum beta-lactamase (ESBL) (44.44% sensitive phenotype vs. 100% resistant genotype) antibiotics (Table 1).
Table 1. Comparison of phenotypic and genotypic antimicrobial susceptibility patterns.
PAE: Pseudomonas aeruginosa; CAR: carbapenems; AGY: aminoglycosides; FLU: fluoroquinolones; BLA/ESBL: beta-lactamase/extended-spectrum beta-lactamase; TSX: trimethoprim-sulfamethoxazole; S: sensitive; R: resistant
*: phenotypically sensitive but genotypically resistant; #: phenotypically resistant but genotypically sensitive
| Strain | Antibiotic susceptibility patterns | |||||||||
| Phenotype | Genotype | |||||||||
| CAR | AGY | FLU | BLA/ESBL | TSX | CAR | AGY | FLU | BLA/ESBL | TSX | |
| PAE-470 | S | S* | S | R | R# | S | R | S | R | S |
| PAE-471 | S | S* | S | R | R# | S | R | S | R | S |
| PAE-472 | S | S* | S | R | R# | S | R | S | R | S |
| PAE-473 | R | S* | R | R | S | R | R | R | R | S |
| PAE-474 | S | S* | S | S* | R# | S | R | R | R | S |
| PAE-475 | S | S* | S | R | R# | S | R | S | R | S |
| PAE-476 | S | S* | S | S* | S | S | R | S | R | S |
| PAE-477 | S | S* | S | S* | R# | S | R | S | R | S |
| PAE-478 | S | S* | S | S* | S | S | R | S | R | S |
All (100%, 9/9) the PA isolates included in the study demonstrated the presence of multiple antibiotic resistance genes (Table 2).
Table 2. Antimicrobial resistance genes identified in this study.
| Gene | Function |
| aac(6')-Il | Aminoglycoside N-acetyltransferase |
| aadA10 | ANT(3'')-Ia family aminoglycoside nucleotidyltransferase |
| aph(3')-IIb | Aminoglycoside O-phosphotransferase |
| blaOXA | Oxacillin-hydrolyzing class D beta-lactamase |
| blaOXA-50 | Oxacillin-hydrolyzing class D beta-lactamase |
| blaOXA-904 | Oxacillin-hydrolyzing class D beta-lactamase |
| blaVIM-2 | Subclass B1 metallo-beta-lactamase |
| blaPDC-1 | Cephalosporin-hydrolyzing class C beta-lactamase |
| blaPDC-5 | Extended-spectrum class C beta-lactamase |
| blaPDC-6 | Class C beta-lactamase |
| blaPDC-8 | Class C beta-lactamase |
| blaPDC-23 | Class C beta-lactamase |
| blaPDC-24 | Class C beta-lactamase |
| blaPDC-41 | Class C beta-lactamase |
| catB7 | Type B-4 chloramphenicol O-acetyltransferase |
| crpP | Ciprofloxacin resistance protein |
| fosA | Fosfomycin resistance glutathione transferase |
| qnrVC1 | Quinolone resistance pentapeptide repeat protein |
The antibiotic resistance genes identified included aph, aad, aac, blaPDC, blaOXA, blaVIM, catB7, fosA, qnrVC1, and crpP. All (100%, 9/9) isolates demonstrated the presence of class C beta-lactamase blaPDC and class B metallo-beta-lactamase blaOXA. Only one (11.11%, 1/9) isolate showed the presence of subclass B1 metallo-beta-lactamase blaVIM. Further, a strain-wise description of AMR genes is detailed in Table 3.
Table 3. Strain-wise description of antimicrobial resistance genes.
PAE: Pseudomonas aeruginosa; M: male; F: female; D: days
| Strain | Age/sex | Source of specimen | Clinical diagnosis | Antibiotic resistance genes detected |
| PAE-470 | 54/F | Pus | Diabetic foot ulcer | aph(3')-IIb, blaPDC-5, blaOXA-494, catB7 |
| PAE-471 | 1D/F | Blood | Preterm with respiratory distress | aph(3')-IIb, blaPDC-1, blaOXA, fosA, catB7 |
| PAE-472 | 68/M | Pus | Postoperative femoral graft | aph(3')-IIb, blaPDC-23, blaOXA-904, catB7 |
| PAE-473 | 12D/F | Endotracheal aspirate | Respiratory distress | aadA10, aac(6')-Il, blaPDC-41, blaVIM-2, qnrVC1, crpP |
| PAE-474 | 54/M | Sputum | Type 2 respiratory failure | aph(3')-IIb, blaPDC-6, blaOXA-50, fosA, catB7, crpP |
| PAE-475 | 67/M | Sputum | Neurosurgery | aph(3')-IIb, blaPDC-5, blaOXA-494, catB7, fosA |
| PAE-476 | 64/M | Pus | Cellulitis | aph(3')-IIb, blaPDC-24, blaOXA-50, fosA, catB7 |
| PAE-477 | 57/M | Pus | Suture site infection | aph(3')-IIb, blaPDC-8, blaOXA-494, catB7, fosA |
| PAE-478 | 26/F | Pus | Breast abscess | aph(3')-IIb, blaPDC-8, blaOXA-494, catB7, fosA |
Among the virulence genes identified were toxA, fih, xcp, wzz, pvc, pvd, and many others. All these genes contribute to bacterial colonization, proliferation, and survival in the host, countering their responses (Table 4).
Table 4. Detailed description of the virulence genes identified in this study.
ATP: adenosine tri-phosphate; RNA: ribonucleic acid; DNA: deoxyribonucleic acid
| Gene locus | Name of the gene | Function | Secretory system/source | Effect on the host |
| alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z | Alginate polysaccharide | Alginate biosynthesis protein | Type III | Biofilm formation |
| aprA | Alkaline phosphatase, aeruginolysin | Alkaline protease secretion outer membrane protein AprA, alkaline metalloproteinase | Type I | Destroy tissues, basal lamina, hemorrhagic tissue necrosis, inactivate key immune cells, |
| catB | Muconate cycloisomerase | Muconate cycloisomerase I | Mandelate racemase/muconate lactonizing enzyme family | Isomerase activity, amino acid metabolic process, degradation of aromatic compounds |
| chpE | Chemotactic transduction protein | Chemotaxis protein, transcriptional regulator | Type III | Chemotaxis |
| cheY, Z | Chemotaxis protein | Chemotaxis protein | Type VI | Responsible for chemotaxis, adhesion, motility, biofilm, CheY as a tumbling signal, and CheZ as a smooth-swimming signal to control flagellar rotation |
| clpB, clpV1 | ClpV is a member of the AAA+ protein family | ATP-binding protease component | Type VI | ClpB-thermotolerance, ClpV1-ATPase activity, the release of toxins targeting both eukaryotic and prokaryotic species biofilm formation, interbacterial interactions, acute and chronic infections, and stress response |
| exoS,T, Y | Exoenzyme | Exoenzyme S, exoenzyme T, adenylate cyclase-exoY | Type III | Antiphagocytic, cytotoxic activities |
| exsA-E | AraC-type transcription activator ExsA | exoenzyme S synthesis protein C, transcriptional regulator ExsA, ExsE protein | Type III | Protein cascade results in cytotoxicity and is calcium-dependent |
| fepD | ferric enterobactin transporter protein | ferric enterobactin transporter protein | Cytoplasmic membrane protein | Import iron into the cell |
| hcp1, hcpA | Hemolysin co-regulated protein | Extracellular, secreted protein Hcp, secreted protein HcpA | Type VI | Hcp1-heme carrier influences body iron stores |
| icmF1/tssM1 | Insulin-cleaving metalloproteinase | Insulin-cleaving metalloproteinase outer membrane protein-icmP | Type VI | tssM releases toxins targeting both eukaryotic and prokaryotic species |
| lasA-B, lasI, lasR (quorum sensing genes) | Elastase | Elastase-lasB, autoinducer synthesis protein-lasI | Type II | Protease and elastolytic activity, staphylolytic activity, corneal damage, fibrinolytic, and collagenase, help in the tissue invasion, adaptation, and response to environmental stresses such as oxidative, heat, heavy metal, and salt stresses |
| lipI | Lipase | Lipase | Type II/Type VI | Phospholipase that hydrolyzes phosphatidic acid to produce lysophosphatidic acid |
| motA-D, Y | Motor proteins | Flagellar motor protein | Cytoplasmic membrane proteins | Protein transport, plasma membrane |
| muc-E, P | Mucin | Serine protease, a negative regulator for alginate biosynthesis | Type III | Zinc metalloprotease, proteolytic activity, hydrolase activity, catalytic activity, biofilm dispersal |
| hisF2, H2 | Histidine | histidine transporter permease hisQ, histidine transporter hisP, phosphoribosyl-ATP pyrophosphatase-hisE, periplasmic histidine-binding protein hisJ, histidinol dehydrogenase-hisD, imidazole glycerol phosphate synthase subunit hisF1, imidazoleglycerol-phosphate dehydratase, histidinol-phosphate aminotransferase-hisC2 | Type III | Aminoacid metabolic process, histidine biosynthetic process, hydrolase activity |
| pvcA-D | Pyoverdine chromophore | paerucumarin biosynthesis protein pvcD | Type VI | Influences biofilm development |
| phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS | Pyocyanin | Phenazine biosynthesis protein | Type II (general secretion pathway’ and promotes outer membrane translocation of large (including some multimeric) exoproteins that are already folded in the periplasm) | Cytotoxic to cells, tissues, immune cells, cause apoptosis, release free radicals |
| plcH | Phospholipase | non-hemolytic phospholipase C-plcC, hemolytic phospholipase C | Type II | Disturbance of membrane lipid metabolism, tissue invasion |
| pvdA, pvdD-J, pvdL-Q, pvdS, pvdY | Pyoverdin | Pyoverdine biosynthetic protein, diaminobutyrate--2-oxoglutarate aminotransferase, protein pvdJ, protein pvdR, protein pvdP, pyoverdine synthetase F, extracytoplasmic-function sigma-70 factor, 3-oxo-C12-homoserine lactone acylase pvdQ, peptide synthase-pvdL, pyoverdine biosynthesis protein pvdE, L-ornithine N5-oxygenase-pvdA | Unknown | Carry iron and other metals that are required to form biofilms |
| fimL, T-V, fimX | Type 4a pili | hypothetical protein, type 4 fimbrial biogenesis protein FimU, protein FimX, Motility protein FimV, type 4 fimbrial biogenesis protein FimT | Unknown | Mannose-binding pili, cell adhesion, biofilm formation, |
| fliA, C-S | Flagellar protein | flagellar hook-basal body protein fliE, flagellin type B-fliC, flagellar protein fliO, flagellar biosynthesis protein fliP, flagellar biosynthesis chaperone-fliJ, flagellar biosynthesis sigma factor-fliA, flagellar-ring protein, flagellar motor switch protein G, flagellar motor switch protein-fliN, flagellar capping protein fliD, flagellum-specific ATP synthase-fliI | Type III/Type VI | RNA polymerase sigma factor for flagella operon, transcription regulatory activity, catalytic activity on RNA |
| fpvI, fpvA | Ferripyoverdine receptor | RNA polymerase sigma factor, ferripyoverdine receptor-fpvA, protein fpvR | Unknown | Siderophore uptake transmembrane protein |
| flhA | Flagellar biosynthesis protein | flagellar biosynthesis protein flhA | Type III | Flagellum-dependent motility, chemotaxis |
| pchA-I, R, | Pyochelin (Siderophore) | isochorismate-pyruvate lyase-pchB, pyochelin biosynthetic protein pchC, dihydroaeruginoic acid synthetase, salicylate biosynthesis isochorismate synthase, transcriptional regulator pchR, pyochelin biosynthetic protein PchG | Type II | Virulence |
| pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV | Translocator | Regulator in type III secretion, type III secretory apparatus protein pcrD, type III secretion protein pcrV, regulatory protein pcrH | Type III | Negative regulation of protein secretion |
| pldA | Phospholipase D | Phospholipase D | Unknown | Catalyzes hydrolysis of the phosphodiester bonds of glycerophospholipids—the main component of cell membranes—and assists the invasion |
| flgA-N | Flagella | flagellar basal body rod protein flgG, flagellar hook protein flgE, flagellar basal body L-ring protein, protein flgM, flagellar hook-associated protein flgK, flagellar hook-associated protein flgL, flagellar basal body P-ring biosynthesis protein flgA-flgI, flagellar basal body rod modification protein-flgD, flagellar basal body rod protein flgF, flagellar basal-body rod protein flgB | Unknown | Motility |
| fliA, C-S | Flagellar protein | Flagellar biosynthesis protein fliQ, | Type III | Flagellar assembly, swimming motility, chemotaxis, adhesion, and biofilm formation abilities |
| pscB-L, pscN-U | Chaperones | translocation protein in type III secretion, type III export protein pscG, type III secretion outer membrane protein pscC, type III secretion system protein, type III export protein pscI, type III export apparatus protein-pscB, type III export protein pscJ type III export protein pscK, type III export protein pscF | Type III (controls the injection of toxic proteins, called effectors, directly into the cytosol of host cells) | Delivers effector toxins directly from the bacteria into the host cytosol |
| fleI/flag, fleN, fleP/fliT, fleQ-S | Flagellar gene | two-component response regulator, flagellar synthesis regulator fleN, transcriptional regulator fleQ, two-component sensor-fleS | Unknown | Controls the transcriptional regulation of extracellular polysaccharide biosynthesis genes |
| stk1 | Serine-threonine kinase | Catalyzing protein phosphorylation | Unknown | Cell wall metabolism |
| pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ | Type 4 pili | two-component sensor pilS, type 4 fimbrial biogenesis protein pilZ, type 4 fimbrial biogenesis protein pilY1, type 4 fimbrial biogenesis protein pilY2, type 4 fimbrial biogenesis protein pilX, type 4 fimbrial biogenesis protein pilF, type 4 fimbrial biogenesis protein pilM, methyltransferase pilK type 4 fimbrial biogenesis protein pilV, type 4 fimbrial pilA, type 4 fimbrial biogenesis outer membrane protein pilQ, type 4 fimbrial biogenesis protein pilB, type 4 prepilin peptidase pilD, twitching motility protein pilI, type 4 fimbrial biogenesis protein pilP | Type IV | Biofilm formation |
| popB, popD, popN | Translocator | Translocator protein popB, type III secretion outer membrane protein popN, translocator outer membrane protein popD | Type III | Pore formation |
| ptxS, ptxR | toxA positive regulatory gene | Transcriptional regulator ptxR, txpS | Unknown | Regulate exoA secretion |
| rhlA-C, rhlI, rhlR (quorum sensing genes) | Rhamnolipids | rhlR-rhamnosyltransferase subunit B, rhamnosyltransferase 2 (rhlC), autoinducer synthesis protein rhlI, rhamnosyltransferase subunit A-rhlA | Unknown | Hemolytic, cytotoxic, harms respiratory epithelial cells, destroys ciliary functions, eliminates polymorphonuclear leucocytes, stabilizes biofilm, and helps motility, adaptation, and response to environmental stresses such as oxidative, heat, heavy metal, and salt stresses |
| rpoN, rpoS | RNA polymerase | RNA polymerase sigma factor rpoS | Unknown | Nitrogen-fixing biofilms |
| Stp1 | Serine/threonine phosphoprotein | Serine/threonine phosphoprotein phosphatase stp1 | Unknown | Cell wall synthesis and cell division |
| toxA | Exotoxin | Transcriptional regulator ToxR | Type II | Antiphagocytic, cytotoxic, inhibits protein synthesis, tissue damage, invasive property, keratitis, immunosuppression |
| pppA | PP2C-family protein phosphatase | A key regulatory component of the type VI secretory system | Type VI (survival advantage delivering toxins and translocating protein effectors into the host cells, acts as virulence factor, and takes part in biofilm formation) | Plays a key role in the disassembly and reassembly of type VI secretory system organelles |
| xcpP-Z | Extracellular protein deficient | Secretion pathway protein with less known functions, the pseudopilin xcpT-X, the putative ATPase xcpR, the polytopic inner membrane protein xcpS, the secretin xcpQ, and the peptidase xcpA | Type II | Assembly of Type IV pilus system |
| tag | DNA-3-methyladenine glycosylase activity | DNA-3-methyladeniine glycosylase activity | Type VI | DNA repair, catalytic activity |
| tse | Type six exported proteins | Type six exported proteins | Type VI | Toxin component of a toxin-immunity system and to arrest the growth of prokaryotic and eukaryotic cells |
| tsr | Chemotaxis transducer gene | Methyl-accepting chemotaxis protein I | Unknown | Respond to changes in the concentration of attractants and repellents in the environment, allow adaptation, cell motility |
| vfr | Virulence factor regulator (Vfr) | Key regulator of the type I-F CRISPR-Cas system in P. aeruginosa | Unknown | Regulates quorum sensing, pyocyanin, elastase, and exotoxin A production |
| vgr | Valine-glycine repeat (vgr) family proteins | Valine-glycine repeat (vgr) family proteins | Type VI | Similar to bacteriophage tube and tail spike proteins |
| Wbp/waa | Glycosyltransferase genes | Glycosyltransferase | Unknown | Core oligosaccharide biosynthesis |
| wzz | Lipopolysachharide O- antigen | O-antigen chain length regulator | Unknown | Lipopolysaccharide biosynthetic process |
The strain-wise details of the sequence type based on MLST, virulence genes, and plasmid replicons are shown in Table 5.
Table 5. The strain-wise details of the virulence genes and MLST types.
PAE: Pseudomonas aeruginosa; PA: Pseudomonas aeruginosa; MLST: multilocus sequence typing; ST: sequence type
| Strain | MLST type | Virulence genes |
| PAE-470 | ST-1684 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3157, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvA, fpvI, fpvR, hcp1, hcpA, hisF2, hisH2, hsiA1,hsiB1/vipA/tssB,hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, ptxR, pvcA-D, pvdA, pvdF-J, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpA-B, wbpD-E, wbpG-M, wzx, wzy, wzz, xcpA/pilD, xcpP-Z |
| PAE-471 | ST-244 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3157, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpB, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvA, fpvI, fpvR, hcp1, hcpA, hisF2, hisH2, hsiA1, hsiB1/vipA/tssB, hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, pldA, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, ptxR, pvcA-D, pvdA, pvdD-J, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpA-B, wbpD-E, wbpG-M, wzx, wzy, wzz, xcpA/pilD, xcpP-Z |
| PAE-472 | ST-1029 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpB, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvI, fpvR, hcp1, hcpA,hsiA1,hsiB1/vipA/tssB,hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, ptxR, pvcA-D, pvdA, pvdF-I, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
| PAE-473 | ST-1978 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2383-2384, PA3142-3143, PA3348-3349, PA4218, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exlA-B, exoS, fapF, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvA, fpvI, fpvR, hcp1, hcpA, hsiA1, hsiB1/vipA/tssB,hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, phzA1-A2, phzB1-G1, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, ppkA, pppA, ptxR, pvcA-D, pvdA, pvdF-I, pvdL-Q, pvdS, rhlA-B, rhlI, rhlR, rpoN, rpoS, stk1, stp1, tagF/pppB, tagQ-T, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
| PAE-474 | ST-485 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleN, fleQ-S, flgAK, M, N, flhA-B, flhF, fliA, C, E-R, fptA, fpvA, fpvI, fpvR, hcp1, hcpA, hsiA1,hsiB1/vipA/tssB,hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-F1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, ptxR, pvcA-D, pvdA, pvdD-J, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
| PAE-475 | ST-2041 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3157, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvI, fpvR, hcp1, hcpA, hisF2,hisH2,hsiA1,hsiB1/vipA/tssB,hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, ptxR, pvcA-D, pvdA, pvdF-J, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpA-B, wbpD-E, wbpG-M, wzx,wzy, wzz, xcpA/pilD, xcpP-Z |
| PAE-476 | ST-1974 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, 3143, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpB, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvA, fpvI, fpvR, hcp1, hcpA, hsiA1, hsiB1/vipA/tssB, hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, pseB, ptxR, pvcA-D, pvdA, pvdD, F-I, pvdL-Q, pvdS, pvdY, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
| PAE-477 | ST-646 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3157, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvI, fpvR, hcp1, hcpA, hsiA, hsiB1/vipA/tssB, hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-G1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, pldA, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, pseB, ptxR, pvcA-D, pvdA, pvdD-I, pvdL-Q, pvdS, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
| PAE-478 | ST-646 | PA1458-1459, PA1464, PA1511, PA1656-1669, PA2359-2371, PA2373, PA2383-2384, PA3142-3143, PA3348-3349, PA4218-4220, alg44, 8, algA-G, I-L, algP/algR3, Q-R, U, W-X, Z, aprA, cheY, Z, chp-E, clpV1, crc, dotU1, exlA, exoS, T, Y, exsA-E, fapA-F, fepD, fha1, fimL, T-V, fimX, fleI/flag, fleN, fleP/fliT, fleQ-S, flgA-N, flhA-B, flhF, fliA, C-S, fptA, fpvI, fpvR, hcp1, hcpA, hsiA1, hsiB1/vipA/tssB, hsiC1/vipB/tssC, hsiE1, hsiF1/tssE, hsiG1/tssF, hsiH1/tssG, hsiJ1, icmF1/tssM1, lasA-B, lasI, lasR, lip1, mbtH-like, motA-D, Y, mprA, muc-E, P, pchA-I, R, pcr1-4, pcrD, pcrG, pcrH, pcrR, pcrV, phzA1-A2, phzB1-F1, phzG2, phzH, phzM, phzS, pilA-C, pilE-K, pil-X, pilY1-Y2, pilZ, plcH, pldA, popB, popD, popN, ppkA, pppA, pscB-L, pscN-U, pseB, ptxR, pvcA-D, pvdA, pvdF-I, pvdL-Q, pvdS, rhlA-C, rhlI, rhlR, rpoN, rpoS, spcS, stk1, stp1, tagF/pppB, tagQ-T, toxA, tse1-3, tse7, tsr, vfr, vgrG1a-G1b, waaA, waaC, waaF-G, waaP, wbpM, xcpA/pilD, xcpP-Z |
Functions of the plasmid replicons and the housekeeping genes based on which the MLST typing was performed are detailed in Table 6.
Table 6. Description of the functions of housekeeping genes and plasmid replicons.
DNA: deoxyribonucleic acid; GMP: guanosine monophosphate; XMP: xanthosine monophosphate; NADH: nicotinamide adenine dinucleotide hydrogen; NDH: NADH dehydrogenase-like complex; FMN: flavin mononucleotide
| Virulence/housekeeping gene | Function | Usefulness |
| acsA | Acetyl-CoA synthetase catalyzes the conversion of acetate into acetyl-CoA (AcCoA), necessary for anabolic and catabolic pathways | Helps in growth and sporulation |
| aroE | Shikimate dehydrogenase (NADP(+)): biosynthesis of the chorismite and aromatic amino acids | Microbial cell survival |
| guaA | GMP Synthase: catalyzes the synthesis of GMP from XMP | Survival, colonization, and infectivity of bacteria in the host |
| mutL | DNA mismatch repair protein: repairs mismatches in DNA | Hypermutability of strains |
| nuoD | NADH-quinone oxidoreductase subunit D: NDH-1 shuttles electrons from NADH, via FMN and iron-sulfur (Fe-S) centers, to quinones in the respiratory chain | Conserves the redox energy in a proton gradient |
| ppsA | Phosphoenolpyruvate synthase: catalyzes the phosphorylation of pyruvate to phosphoenolpyruvate | Bacterial growth, gluconeogenesis and virulence |
| trpE | Anthranilate synthase component 1: catalyzes the two-step biosynthesis of anthranilate, an intermediate in the biosynthesis of L-tryptophan | Bacterial survival in the macrophages and evade host responses |
| IncFIA, IncFIB, IncFII (pSE11) | Incompatibility (Inc) group | Carry drug-resistance genes |
| ColKP3 | Col-like plasmid replicons | Carry drug-resistance genes |
Discussion
The molecular characterization of PA clinical isolates through WGS provides critical insights into the genetic underpinnings of antibiotic resistance and virulence. Our study identified a concerning prevalence of antibiotic-resistant genes among the nine PA isolates analyzed. All isolates harbored multiple resistance genes, including blaPDC and blaOXA, and were associated with beta-lactam resistance. The presence of blaVIM, a metallo-beta-lactamase, in one isolate underscores the potential for severe treatment challenges due to resistance to carbapenems, a last resort antibiotic class.
Identifying various virulence genes, such as toxA, fih, and pvd, is critical for understanding the pathogenic potential of PA. These genes are implicated in toxin production and biofilm formation, which enhance the bacterium's ability to establish infections and evade host defenses. The presence of these virulence determinants in all isolates indicates a uniformly high risk of pathogenicity among the strains studied. This finding emphasizes the importance of monitoring virulence gene profiles in clinical settings, as strains with a robust virulence arsenal are more likely to cause severe infections, particularly in immunocompromised patients.
Antibiotic resistance genes
The pseudomonas-derived cephalosporinase (blaPDC) was the most frequent AMR gene. This gene was identified in all the isolates included in this study. The AMR gene blaPDC is chromosomally derived and confers high-level cephalosporin resistance through mutations and catalytic activity. A recent study revealed PA isolates demonstrating blaPDC showing resistance to newly introduced cephalosporins like ceftolozane, despite this antibiotic not being prescribed to the patient. This confirms the potential for cross-reactive AMR among the PA isolates with blaPDC even in the absence of selective pressure [20].
The ecological and evolutionary mechanisms involved in the development of AMR have not yet been completely elucidated. WGS is a potential tool that could enable a deeper understanding of the molecular mechanisms bacterial strains employ to develop AMR [21]. A previous study that analyzed the blaPDC gene revealed that its ancestor could have evolved more than 4000 years ago. This demonstrates the highly conserved nature of blaPDC wherein the bacterial strains with this gene confer similar antibiotic resistance patterns [22].
In recent times, there has been increased evidence of the prevalence and spread of multidrug-resistant (MDR), extensively drug-resistant (XDR), and pan-drug-resistant (PDR) strains of PA and other bacterial species [12,23]. Oxacillinase (blaOXA) and Verona integron-encoded metallo-beta-lactamase (blaVIM) are the two carbapenemases detected in the strains included in this study. A very high percentage of PA strains showing resistance to the carbapenem group of antibiotics resulting in poor patient outcomes was noticed in countries like China (54%), South and Central America (69%), the Middle East, Australia (57%), and Singapore (57%). However, the USA revealed a low (2%) prevalence of carbapenem resistance [24].
The multi-locus sequence typing
This study showed the presence of ST244, a high-risk PA strain with global significance [25,26]. ST244 was not identified in a previous study from the United Kingdom. Other high-risk PA strains noticed in the UK but not identified in the present study were STs 111, 233, 235, 357, 654, and 773 [27]. Our study did not find the presence of blaSHV, blaTEM, and blaNDM as evidenced by a study reported from Kenya [28].
A recent study from South Africa identified a blaNDM-1 carrying high-risk ST773 that is coded on the integrative and conjugative element (ICE) region and can potentially transmit among bacterial species. This study points to the significance of identifying the prevalence of high-risk strains and initiation of control and preventive measures [29].
The contradicting antibiotic susceptibility patterns noticed among the PA isolates in this study point to the fact that clinical decisions cannot be made solely based on phenotypic or genotypic susceptibility results. This was confirmed by a recent study that assessed anti-tubercular drug susceptibility patterns among Mycobacterium tuberculosis isolates [30].
Comparison of genotype and phenotypic antimicrobial susceptibility patterns
In the present study, we noticed discordant genotypic and phenotypic antibiotic susceptibility patterns concerning certain antibiotics, including co-trimoxazole (66.66% resistance phenotype vs. 100% sensitive genotype), aminoglycosides (100% sensitive phenotype vs. 100% resistant genotype), and beta-lactamase/extended-spectrum beta-lactamase (ESBL) (44.44% sensitive phenotype vs. 100% resistant genotype).
Understanding the antibiotic susceptibility patterns and interpretation of the genotypic and phenotypic drug susceptibility patterns of a bacteria isolated from the human clinical specimen is complex. If the genotypic results comply with the phenotypic results, the patient may be appropriately treated with the drugs. However, if the AMR gene is detected and the phenotype results demonstrate susceptibility to the drug, and in cases where the AMR gene is not detected and the phenotypic results show drug resistance, choosing an antibiotic to treat the patient is difficult [31]. However, the CLSI guidelines suggest the repetition of AST and checking for the purity of cultures, among others, to facilitate reporting such discrepancies [13].
Study limitations
This study included fewer PA isolates and did not compare the presence of AMR and virulence genes with the clinical characteristics and patient outcomes. Although all PA isolates were collected from a single institution, phylogenetic analysis to establish the relatedness of the strains included in this study was not conducted.
Conclusions
The study results revealed discordant phenotypic and genotypic antibiotic susceptibility patterns. Most study strains demonstrated the presence of multiple AMR and virulence genes. This study showed the presence of ST244, a high-risk PA strain with global significance. PA is an opportunistic pathogen, and its isolation among hospitalized patients should be carefully evaluated. Tracking PA for the presence of high-risk STs and resistance and virulence genes could improve the understanding of the organism. Molecular data obtained from this study could potentially enable physicians to predict invasive infections and treatment failures. The data obtained from this study could be applied to devise treatment and management strategies favorable to patients and the hospital or healthcare institution.
Disclosures
Human subjects: Consent was obtained or waived by all participants in this study. Institutional Ethics Committee of Prathima Institute of Medical Sciences, Karimnagar issued approval IEC/PIMS/2019-001-01112019pa.
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: Kempegowda Institute of Medical Sciences has made a memorandum of understanding (MOU) with Dr. Venkataramana Kandi, Prathima Institute of Medical Sciences, India, to collaborate under the project supported by the Global Health Research Unit (GHRU), United Kingdom.
Author Contributions
Concept and design: Venkataramana Kandi, Vallab Ganesh Bharadwaj
Acquisition, analysis, or interpretation of data: Venkataramana Kandi, Vallab Ganesh Bharadwaj, Tarun Kumar Suvvari, Chitra Rajalakshmi P, Milankumar V. Dharsandia
Drafting of the manuscript: Venkataramana Kandi, Vallab Ganesh Bharadwaj
Critical review of the manuscript for important intellectual content: Venkataramana Kandi, Vallab Ganesh Bharadwaj, Tarun Kumar Suvvari, Chitra Rajalakshmi P, Milankumar V. Dharsandia
Supervision: Venkataramana Kandi
References
- 1.The environmental occurrence of Pseudomonas aeruginosa. Crone S, Vives-Flórez M, Kvich L, et al. APMIS. 2020;128:220–231. doi: 10.1111/apm.13010. [DOI] [PubMed] [Google Scholar]
- 2.Pseudomonas aeruginosa in the healthcare facility setting. Anna MS, Marina S, Maria LC. Rev Med Microbiol. 2021;32:169–175. [Google Scholar]
- 3.The global epidemiology of ventilator-associated pneumonia caused by multi-drug resistant Pseudomonas aeruginosa: a systematic review and meta-analysis. Li Y, Roberts JA, Walker MM, Aslan AT, Harris PN, Sime FB. Int J Infect Dis. 2024;139:78–85. doi: 10.1016/j.ijid.2023.11.023. [DOI] [PubMed] [Google Scholar]
- 4.Epidemiology of healthcare-associated Pseudomonas aeruginosa in intensive care units: are sink drains to blame? Volling C, Mataseje L, Graña-Miraglia L, et al. J Hosp Infect. 2024;148:77–86. doi: 10.1016/j.jhin.2024.03.009. [DOI] [PubMed] [Google Scholar]
- 5.Outbreak of Pseudomonas aeruginosa on a neonatal intensive care unit: lessons from a Qatari setting. Petkar HM, Caseres-Chiuco I, Al-Shaddad A, et al. J Infect Prev. 2024;25:103–109. doi: 10.1177/17571774241236248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Clinical characteristics, tolerance mechanisms, and molecular epidemiology of reduced susceptibility to chlorhexidine among Pseudomonas aeruginosa isolated from a teaching hospital in China. Zheng X, Zhang X, Zhou B, et al. Int J Antimicrob Agents. 2022;60:106605. doi: 10.1016/j.ijantimicag.2022.106605. [DOI] [PubMed] [Google Scholar]
- 7.Microbe Profile: Pseudomonas aeruginosa: opportunistic pathogen and lab rat. Diggle SP, Whiteley M. Microbiology (Reading) 2020;166:30–33. doi: 10.1099/mic.0.000860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.WHO publishes list of bacteria for which new antibiotics are urgently needed. [ Jul; 2024 ]. 2017. https://www.who.int/news/item/27-02-2017-who-publishes-list-of-bacteria-for-which-new-antibiotics-are-urgently-needed https://www.who.int/news/item/27-02-2017-who-publishes-list-of-bacteria-for-which-new-antibiotics-are-urgently-needed
- 9.Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics. Qin S, Xiao W, Zhou C, et al. Signal Transduct Target Ther. 2022;7:199. doi: 10.1038/s41392-022-01056-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Antibiotic resistance in Pseudomonas aeruginosa - mechanisms, epidemiology and evolution. Botelho J, Grosso F, Peixe L. Drug Resist Updat. 2019;44:100640. doi: 10.1016/j.drup.2019.07.002. [DOI] [PubMed] [Google Scholar]
- 11.A guide to bacterial culture identification and results interpretation. Giuliano C, Patel CR, Kale-Pradhan PB. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428495/ P T. 2019;44:192–200. [PMC free article] [PubMed] [Google Scholar]
- 12.Molecular characterization of Escherichia coli causing urinary tract infections through next-generation sequencing: a comprehensive analysis of serotypes, sequence types, and antimicrobial and virulence genes. Kandi V, Shahapur PR, Suvvari TK, et al. Cureus. 2024;16:0. doi: 10.7759/cureus.55556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Clinical and Laboratory Standards Institute: performance standards for antimicrobial susceptibility testing; thirtieth informational supplement. M100-S30. [ Oct; 2024 ]. 2020. https://www.nih.org.pk/wp-content/uploads/2021/02/CLSI-2020.pdf https://www.nih.org.pk/wp-content/uploads/2021/02/CLSI-2020.pdf
- 14.SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. Bankevich A, Nurk S, Antipov D, et al. J Comput Biol. 2012;19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Prokka: rapid prokaryotic genome annotation. Seemann T. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 16.ConFindr: rapid detection of intraspecies and cross-species contamination in bacterial whole-genome sequence data. Low AJ, Koziol AG, Manninger PA, Blais B, Carrillo CD. PeerJ. 2019;7:0. doi: 10.7717/peerj.6995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads. Hunt M, Mather AE, Sánchez-Busó L, Page AJ, Parkhill J, Keane JA, Harris SR. Microb Genom. 2017;3:0. doi: 10.1099/mgen.0.000131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.BWA-MEME: BWA-MEM emulated with a machine learning approach. Jung Y, Han D. Bioinformatics. 2022;38:2404–2413. doi: 10.1093/bioinformatics/btac137. [DOI] [PubMed] [Google Scholar]
- 19.Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease. Marshall CR, Chowdhury S, Taft RJ, et al. NPJ Genom Med. 2020;5:47. doi: 10.1038/s41525-020-00154-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Longitudinal evolution of the Pseudomonas-derived cephalosporinase (PDC) structure and activity in a cystic fibrosis patient treated with β-lactams. Colque CA, Albarracín Orio AG, Tomatis PE, et al. mBio. 2022;13:0. doi: 10.1128/mbio.01663-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance. Shepherd MJ, Fu T, Harrington NE, et al. Nat Rev Microbiol. 2024;22:650–665. doi: 10.1038/s41579-024-01041-1. [DOI] [PubMed] [Google Scholar]
- 22.Molecular evolutionary analyses of the Pseudomonas-drived cephalosporinase gene. Shirai T, Akagawa M, Makino M, et al. Microorganisms. 2023;11:635. doi: 10.3390/microorganisms11030635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Evaluation of fortimicin antibiotic combinations against MDR Pseudomonas aeruginosa and resistome analysis of a whole genome sequenced pan-drug resistant isolate. Kamel NA, Tohamy ST, Alshahrani MY, Aboshanab KM. BMC Microbiol. 2024;24:164. doi: 10.1186/s12866-024-03316-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Global epidemiology and clinical outcomes of carbapenem-resistant Pseudomonas aeruginosa and associated carbapenemases (POP): a prospective cohort study. Reyes J, Komarow L, Chen L, et al. Lancet Microbe. 2023;4:0–70. doi: 10.1016/S2666-5247(22)00329-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Genetic diversity, distribution, and genomic characterization of antibiotic resistance and virulence of clinical Pseudomonas aeruginosa strains in Kenya. Kiyaga S, Kyany'a C, Muraya AW, et al. Front Microbiol. 2022;13:835403. doi: 10.3389/fmicb.2022.835403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Identification of carbapenem-resistant Pseudomonas aeruginosa in selected hospitals of the Gulf Cooperation Council States: dominance of high-risk clones in the region. Zowawi HM, Syrmis MW, Kidd TJ, et al. J Med Microbiol. 2018;67:846–853. doi: 10.1099/jmm.0.000730. [DOI] [PubMed] [Google Scholar]
- 27.Dominance of international 'high-risk clones' among metallo-β-lactamase-producing Pseudomonas aeruginosa in the UK. Wright LL, Turton JF, Livermore DM, Hopkins KL, Woodford N. J Antimicrob Chemother. 2015;70:103–110. doi: 10.1093/jac/dku339. [DOI] [PubMed] [Google Scholar]
- 28.Antimicrobial resistance profiles and clonal relatedness of Pseudomonas aeruginosa strains recovered from wounds infections of outpatient population presenting in a rural hospital in Kenya. Thuo T, Kiyuukia C, Maina J, Judah T, Kiiru S, Kiiru J. Adv Microbiol. 2019;9:119–130. [Google Scholar]
- 29.Genomic epidemiology and molecular characteristics of bla(NDM-1)-positive carbapenem-resistant Pseudomonas aeruginosa belonging to international high-risk clone ST773 in the Gauteng region, South Africa. Jung H, Pitout JD, Matsumura Y, Strydom KA, Kingsburgh C, Ehlers MM, Kock MM. Eur J Clin Microbiol Infect Dis. 2024;43:627–640. doi: 10.1007/s10096-024-04763-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Genotypic and phenotypic comparison of drug resistance profiles of clinical multidrug-resistant Mycobacterium tuberculosis isolates using whole genome sequencing in Latvia. Vīksna A, Sadovska D, Berge I, et al. BMC Infect Dis. 2023;23:638. doi: 10.1186/s12879-023-08629-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.The genotype-to-phenotype dilemma: how should laboratories approach discordant susceptibility results? Yee R, Dien Bard J, Simner PJ. J Clin Microbiol. 2021;59:0–20. doi: 10.1128/JCM.00138-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
