Antibiotic resistance genes prediction via whole genome sequence analysis of Stenotrophomonas maltophilia. - Related Documents




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519301.0000Antibiotic resistance genes prediction via whole genome sequence analysis of Stenotrophomonas maltophilia. BACKGROUND: Stenotrophomonas maltophilia (S. maltophilia) is the first dominant ubiquitous bacterial species identified from the genus Stenotrophomonas in 1943 from a human source. S. maltophilia clinical strains are resistance to several therapies, this study is designed to investigate the whole genome sequence and antimicrobial resistance genes prediction in Stenotrophomonas maltophilia (S. maltophilia) SARC-5 and SARC-6 strains, isolated from the nasopharyngeal samples of an immunocompromised patient. METHODS: These bacterial strains were obtained from Pakistan Institute of Medical Sciences (PIMS) Hospital, Pakistan. The bacterial genome was sequenced using a whole-genome shotgun via a commercial service that used an NGS (Next Generation Sequencing) technology called as Illumina Hiseq 2000 system for genomic sequencing. Moreover, detailed in-silico analyses were done to predict the presence of antibiotic resistance genes in S. maltophilia. RESULTS: Results showed that S. maltophilia is a rare gram negative, rod-shaped, non sporulating bacteria. The genome assembly results in 24 contigs (>500 bp) having a size of 4668,850 bp with 65.8% GC contents. Phylogenetic analysis showed that SARC-5 and SARC-6 were closely related to S. maltophilia B111, S. maltophilia BAB-5317, S. maltophilia AHL, S. maltophilia BAB-5307, S. maltophilia RD-AZPVI_04, S. maltophilia JFZ2, S. maltophilia RD_MAAMIB_06 and lastly with S. maltophilia sp ROi7. Moreover, the whole genome sequence analysis of both SARC-5 and SARC-6 revealed the presence of four resistance genes adeF, qacG, adeF, and smeR. CONCLUSION: Our study confirmed that S. maltophilia SARC-5 and SARC-6 are one of the leading causes of nosocomial infection which carry multiple antibiotic resistance genes.202438128408
248410.9990Multilocus sequence typing analysis and second-generation sequencing analysis of Salmonella Wandsworth. BACKGROUND: Salmonella Wandsworth is a rare serotype of Salmonella. This study analyzed the genotyping, genome structure, and molecular biological functions of Salmonella Wandsworth based on the results of multilocus sequence typing and next-generation sequencing genome assembly analysis. METHODS: Serological typing was performed using the slide-agglutination method. The micro broth dilution method was used to test antibiotic susceptibility. Multilocus sequence typing (MLST) was used to perform the homology analysis, while the second-generation sequencing genome analysis was used to analyze the whole genome of the bacteria. RESULTS: Salmonella Wandsworth is Group Q Salmonella. The MLST of this strain was ST1498. Salmonella Wandsworth was sensitive to antibiotics, such as ceftriaxone, imipenem, chloramphenicol, and colistin, but was resistant to ampicillin, cefalotin, gentamicin, and ciprofloxacin. The second-generation sequencing results showed that the genome sequence length of the bacteria was 5109457bp. Annotated COG library analysis generated 3,746 corresponding genes. After the comparison with the KEGG library, 1,340 genes, which participate in 19 types of metabolic pathways, were obtained. A total of 249 pathogenic factors and 2 disease islands were predicted. 2 CRISPR sites and 8 Cas sites were predicted. It can be seen from the evolutionary tree that Salmonella Wandsworth MLST1498 and Paratyphi B str.SPB7 are gathered together. We identified one resistance gene, namely, aac(6')-Iaa accounting for aminoglycoside resistance. CONCLUSION: Salmonella Wandsworth isolated in this study is Salmonella group Q. Consequently, it is necessary to strengthen the understanding of clinical infections of Salmonella Wandsworth and carry out continuous monitoring and research.202134245607
519820.9987In-depth comparative pathogenome, virulome, and resistome analysis of an extensive drug resistant Ralstonia mannitolilytica strain isolated from blood. INTRODUCTION: Ralstonia mannitolilytica is an global opportunistic pathogen responsible for various diseases. In this study, we reported the genome of a R. mannitolilytica isolate responsible for bacteremia in an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). METHODS: Bacterial identification was performed with a Vitek2™ Automated System and 16S rRNA sequencing with BLASTn against the Non-Redundant Protein Sequence (Nr) database. Genome sequencing and analysis were performed using PacBio RS II sequencer, Hierarchical Genome Assembly Process assembly, as well as multiple annotation databases to better understand the innate features. Antibiotic resistance genes and virulence factors were specifically identified through Antibiotic Resistance Genes database and Virulence Factors of Pathogenic Bacteria databases. RESULTS: The complete genome sequence was assembled into two chromosomes with 3,495,817 bp and 1,342,871 bp in length and GC% of 65.37 % and 66.43 %, respectively. The two chromosomes were fully annotated. In chromosome 1 and 2, 19 and 14 antibiotic resistant genes and 48 and 55 virulence factors were predicted, respectively. Specifically, beta-lactam resistance genes bla(OXA-443), bla(OXA-444) were acquired. CONCLUSIONS: This study aids in the understanding of the innate features of R. mannitolilytica in AECOPD.202439306054
519930.9987Whole genome sequencing uncovers a novel IND-16 metallo-β-lactamase from an extensively drug-resistant Chryseobacterium indologenes strain J31. BACKGROUND: Chryseobacterium indologenes is an emerging opportunistic pathogen in hospital-acquired infection, which is intrinsically resistant to most antimicrobial agents against gram-negative bacteria. In the purpose of extending our understanding of the resistance mechanism of C. indologenes, we sequenced and analyzed the genome of an extensively antibiotic resistant C. indologenes strain, isolated from a Chinese prostate cancer patient. We also investigated the presence of antibiotic resistance genes, particularly metallo-β-lactamase (MBL) genes, and performed a comparative genomic analysis with other Chryseobacterium species. RESULTS: 16s rRNA sequencing indicated the isolate belongs to C. indologenes. We assembled a total of 1095M bp clean-filtered reads into 171 contigs by de novo assembly. The draft genome of C. indologenes J31 consisted of 5,830,795 bp with a GC content of 36.9 %. RAST analysis revealed the genome contained 5196 coding sequences (CDSs), 28 rRNAs, 81 tRNAs and 114 pseudogenes. We detected 90 antibiotic resistance genes from different drug classes in the whole genome. Notably, a novel bla(IND) allele bla(IND-16) was identified, which shared 99 % identity with bla(IND-8) and bla(IND-10). By comparing strain J31 genome to the closely four related neighbors in the genus Chryseobacterium, we identified 2634 conserved genes, and 1449 unique genes. CONCLUSIONS: In this study, we described the whole genome sequence of C. indologenes strain J31. Numerous resistance determinants were detected in the genome and might be responsible for the extensively antibiotic resistance of this strain. Comparative genomic analysis revealed the presence of considerable strain-specific genes which would contribute to the distinctive characteristics of strain J31. Our study provides the insight of the multidrug resistance mechanism in genus Chryseobacterium.201627785154
178840.9987Draft genome sequence of a multidrug-resistant Stenotrophomonas sp. B1-1 strain isolated from radiation-polluted soil and its pathogenic potential. OBJECTIVES: Stenotrophomonas is a genus of Gram-negative bacteria with several potential industrial uses as well as an increasingly relevant pathogen that may cause dangerous nosocomial infections. Here we present the draft genome sequence of a multidrug-resistant Stenotrophomonas sp. B1-1 isolated from radiation-polluted soil in Xinjiang Uyghur Autonomous Region, China. METHODS: The genome of Stenotrophomonas sp. B1-1 was sequenced using a BGISEQ-500 platform. The generated sequencing reads were de novo assembled using SOAPdenovo and the resulting sequences were predicted and annotated to identify antimicrobial resistance genes and virulence factors using the ARDB and VFDB databases, respectively. RESULTS: The Stenotrophomonas sp. B1-1 genome assembly resulted in a total genome size of 4,723,769 bp with a GC content of 67.47%. There were 4280 predicted genes with 68 tRNAs, 2 rRNAs and 163 sRNAs. A number of antimicrobial resistance genes were identified conferring resistance to various antibiotics as well as numerous virulence genes. CONCLUSION: The genome sequence of Stenotrophomonas sp. B1-1 will provide timely information for comparison of the Stenotrophomonas genus and to help further understand the pathogenesis and antimicrobial resistance of this genus.202133373734
246850.9986Characterization of Pseudomonas kurunegalensis by Whole-Genome Sequencing from a Clinical Sample: New Challenges in Identification. Backgoround: The genus Pseudomonas encompasses metabolically versatile bacteria widely distributed in diverse environments, including clinical settings. Among these, Pseudomonas kurunegalensis is a recently described environmental species with limited clinical characterization. Objective and Methods: In this study, we report the genomic and phenotypic characterization of a P. kurunegalensis isolate, Pam1317368, recovered from a catheterized urine sample of a post-renal transplant patient without symptoms of urinary tract infection. Initial identification by MALDI-TOF MS misclassified the isolate as Pseudomonas monteilii. Whole-genome sequencing and average nucleotide identity (ANI) analysis (≥95%) confirmed its identity as P. kurunegalensis. The methodology included genomic DNA extraction, Illumina sequencing, genome assembly, ANI calculation, antimicrobial susceptibility testing, resistance gene identification and phylogenetic analysis. Results: Antimicrobial susceptibility testing revealed multidrug resistance, including carbapenem resistance mediated by the metallo-β-lactamase gene VIM-2. Additional resistance determinants included genes conferring resistance to fluoroquinolones and aminoglycosides. Phylogenetic analysis placed the isolate within the P. kurunegalensis clade, closely related to environmental strains. Conclusions: Although the clinical significance of this finding remains unclear, the presence of clinically relevant resistance genes in an environmental Pseudomonas species isolated from a human sample highlights the value of genomic surveillance and accurate species-level identification in clinical microbiology.202540700237
546260.9985Whole Genome Sequence and Comparative Genomics Analysis of Multi-drug Resistant Environmental Staphylococcus epidermidis ST59. Staphylococcus epidermidis is a major opportunistic pathogen primarily recovered from device-associated healthcare associated infections (DA-HAIs). Although S. epidermidis and other coagulase-negative staphylococci (CoNS) are less virulent than Staphylococcus aureus, these bacteria are an important reservoir of antimicrobial resistance genes and resistance-associated mobile genetic elements that can be transferred between staphylococcal species. We report a whole genome sequence of a multidrug resistant S. epidermidis (strain G6_2) representing multilocus sequence type (ST) 59 and isolated from an environmental sampling of a hotel room in London, UK. The genome of S. epidermidis G6_2 comprises of a 2408357 bp chromosome and six plasmids, with an average G+C content of 32%. The strain displayed a multi-drug resistance phenotype which was associated with carriage of 7 antibiotic resistance genes (blaZ, mecA, msrA, mphC, fosB, aacA-aphD, tetK) as well as resistance-conferring mutations in fusA and ileS Antibiotic resistance genes were located on plasmids and chromosome. Comparative genomic analysis revealed that antibiotic resistance gene composition found in G6_2 was partly preserved across the ST59 lineage.201829716961
519770.9985Genome analysis of NDM-1 producing Morganella morganii clinical isolate. OBJECTIVE: To analyze the resistome and virulence genes of Morganella morganii F675, a multidrug-resistant clinical isolate using whole genome sequencing (WGS). METHODS: M. morganii F675 was isolated from a patient from Jerusalem, Israel. WGS was performed using both 454 and SOLiD sequencing technologies. Analyses of the bacterial resistome and other virulence genes were performed in addition to comparison with other available M. morganii genomes. RESULTS: The assembled sequence had a genome size of 4,127,528 bp with G+C content of 51%. The resistome consisted of 13 antibiotic resistance genes including blaNDM-1 located in a plasmid likely acquired from Acinetobacter spp. Moreover, we characterized for the first time the whole lipid A biosynthesis pathway in this species along with the O-antigen gene cluster, the urease gene cluster and several other virulence genes. CONCLUSION: The WGS analysis of this pathogen further provides insight into its pathogenicity and resistance to antibiotics.201425081858
516180.9985Genomic analysis of contaminant Stenotrophomonas maltophilia, from placental swab culture, carrying antibiotic resistance: a potential hospital laboratory contaminant. Acute chorioamnionitis has been considered as reflective of amniotic fluid infection. Standard microbiological work ups for causative microorganism of intra-amniotic infection is based on microbial identification. However, frequency of positive placental culture is varied depending on placental sampling techniques, contaminations, methods of microbiologic work ups or comprehensive microbiologic work ups. In this report, we performed a hybrid whole genome sequencing of a proven bacterial contaminant obtained from placental culture in a patient with preterm labor and acute chorioamnionitis. This is to unveil genetic characterization of contaminant Stenotrophomonas maltophilia habouring antibiotic resistance genes. Stenotrophomonas maltiphilia was proven to be bacterial contaminant since Ureaplasma urealyticum was subsequently demonstrated in amniotic fluid by 16 S rRNA gene Sanger sequencing. Cultivation results from other sources were no growth. We identified Stenotrophomonas maltiphilia strain RAOG732 which carried several antibiotic resistance genes, including aminoglycoside, fluoroquiolone and beta-lactam. Biofilm production genes were also identified in this genome. We firstly utilized a hybrid sequencing approach to investigate the genome of S. maltiphilia in the patient with preterm and acute chorioamnionitis, a proven bacterial laboratory contaminant. The analysis provided several antibiotic resistance-associated and genes biofilm-associated genes. The detection of S. maltiphilia raised the awareness of the colonization of biofilm-producing bacteria in hospitals, where surveillance for decontamination is necessary.202540594762
246990.9985Whole genome analysis of multidrug-resistant Citrobacter freundii B9-C2 isolated from preterm neonate's stool in the first week. BACKGROUND: Resistance to colistin, the last line therapy for infections caused by multidrug-resistant Gram-negative bacteria, represents a major public health threat. Citrobacter freundii B9-C2 which was isolated from the stool of preterm neonate on the first week of life, displayed resistance to almost all major antibiotics, including colistin. Through whole genome sequencing (WGS), we characterised the genome features that underline the antibiotic-resistance phenotype of this isolate. METHODS: Genome of C. freundii B9-C2 was sequenced on an Illumina MiSeq platform. The assembled genome was annotated and deposited into GenBank under the accession number CP027849. RESULTS: Multiple antimicrobial resistance genes including bla(CMY-66) were identified. Further, the presence of 15 antibiotic efflux pump-encoding resistance genes, including crp, baeR, hns, patA, emrB, msbA, acrA, acrB, emrR, mdtC, mdtB, mdtG, kdpE, mdfA and msrB, were detected and likely to account for the observed cephalosporins, carbapenems, aminoglycosides and monobactams resistance in C. freundii B9-C2. The isolate also presented unique virulence genes related to biofilm formation, motility and iron uptake. The genome was compared to publicly available genomes and it was closely related to strains with environmental origins. CONCLUSION: To the best of our knowledge, this is the first report of intestinal carriage of colistin-resistant C. freundii from the stool of a neonate in Malaysia. Using genomic analysis, we have contributed to the understanding of the potential mechanism of resistance and the phylogenetic relationship of the isolates with draft genomes available in the public domain.202032304769
5201100.9985Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore. BACKGROUND: Enterobacter cloacae complex (ECC) bacteria, such as E. cloacae, E. sichuanensis, E. kobei, and E. roggenkampii, have been emerging as nosocomial pathogens. Many strains isolated from medical clinics were found to be resistant to antibiotics, and in the worst cases, acquired multidrug resistance. We present the whole genome sequence of SGAir0282, isolated from the outdoor air in Singapore, and its relevance to other ECC bacteria by in silico genomic analysis. RESULTS: Complete genome assembly of E. sichuanensis strain SGAir0282 was generated using PacBio RSII and Illumina MiSeq platforms, and the datasets were used for de novo assembly using Hierarchical Genome Assembly Process (HGAP) and error corrected with Pilon. The genome assembly consisted of a single contig of 4.71 Mb and with a G+C content of 55.5%. No plasmid was detected in the assembly. The genome contained 4371 coding genes, 83 tRNA and 25 rRNA genes, as predicted by NCBI's Prokaryotic Genome Annotation Pipeline (PGAP). Among the genes, the antibiotic resistance related genes were included: Streptothricin acetdyltransferase (SatA), fosfomycin resistance protein (FosA) and metal-dependent hydrolases of the beta-lactamase superfamily I (BLI). CONCLUSION: Based on whole genome alignment and phylogenetic analysis, the strain SGAir0282 was identified to be Enterobacter sichuanensis. The strain possesses gene clusters for virulence, disease and defence, that can also be found in other multidrug resistant ECC type strains.202032127921
5122110.9985Clinical long-read metagenomic sequencing of culture-negative infective endocarditis reveals genomic features and antimicrobial resistance. BACKGROUND: Infective endocarditis (IE) poses significant diagnostic challenges, particularly in blood culture-negative cases where fastidious bacteria evade detection. Metagenomic-based nanopore sequencing enables rapid pathogen detection and provides a new approach for the diagnosis of IE. METHOD: Two cases of blood culture-negative infective endocarditis (IE) were analyzed using nanopore sequencing with an in silico host-depletion approach. Complete genome reconstruction and antimicrobial resistance gene annotation were successfully performed. RESULTS: Within an hour of sequencing, EPI2ME classified nanopore reads, identifying Corynebacterium striatum in IE patient 1 and Granulicatella adiacens in IE patient 2. After 18 h, long-read sequencing successfully reconstructed a single circular genome of C. striatum in IE patient 1, whereas short-read sequencing was used to compare but produced fragmented assemblies. Based on these results, long-read sequencing was exclusively used for IE patient 2, allowing for the complete and accurate assembly of G. adiacens, confirming the presence of these bacteria in the clinical samples. In addition to pathogen identification, antimicrobial resistance (AMR) genes were detected in both genomes. Notably, in C. striatum, regions containing a class 1 integron and multiple novel mobile genetic elements (ISCost1, ISCost2, Tn7838 and Tn7839) were identified, collectively harbouring six AMR genes. This is the first report of such elements in C. striatum, highlighting the potential of nanopore long-read sequencing for comprehensive pathogen characterization in IE cases. CONCLUSIONS: This study highlights the effectiveness of host-depleted, long-read nanopore metagenomics for direct pathogen identification and accurate genome reconstruction, including antimicrobial resistance gene detection. The approach enables same-day diagnostic reporting within a matter of hours. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-025-11741-5.202541087996
5467120.9985Whole genome sequencing-based classification of human-related Haemophilus species and detection of antimicrobial resistance genes. BACKGROUND: Bacteria belonging to the genus Haemophilus cause a wide range of diseases in humans. Recently, H. influenzae was classified by the WHO as priority pathogen due to the wide spread of ampicillin resistant strains. However, other Haemophilus spp. are often misclassified as H. influenzae. Therefore, we established an accurate and rapid whole genome sequencing (WGS) based classification and serotyping algorithm and combined it with the detection of resistance genes. METHODS: A gene presence/absence-based classification algorithm was developed, which employs the open-source gene-detection tool SRST2 and a new classification database comprising 36 genes, including capsule loci for serotyping. These genes were identified using a comparative genome analysis of 215 strains belonging to ten human-related Haemophilus (sub)species (training dataset). The algorithm was evaluated on 1329 public short read datasets (evaluation dataset) and used to reclassify 262 clinical Haemophilus spp. isolates from 250 patients (German cohort). In addition, the presence of antibiotic resistance genes within the German dataset was evaluated with SRST2 and correlated with results of traditional phenotyping assays. RESULTS: The newly developed algorithm can differentiate between clinically relevant Haemophilus species including, but not limited to, H. influenzae, H. haemolyticus, and H. parainfluenzae. It can also identify putative haemin-independent H. haemolyticus strains and determine the serotype of typeable Haemophilus strains. The algorithm performed excellently in the evaluation dataset (99.6% concordance with reported species classification and 99.5% with reported serotype) and revealed several misclassifications. Additionally, 83 out of 262 (31.7%) suspected H. influenzae strains from the German cohort were in fact H. haemolyticus strains, some of which associated with mouth abscesses and lower respiratory tract infections. Resistance genes were detected in 16 out of 262 datasets from the German cohort. Prediction of ampicillin resistance, associated with bla(TEM-1D), and tetracycline resistance, associated with tetB, correlated well with available phenotypic data. CONCLUSIONS: Our new classification database and algorithm have the potential to improve diagnosis and surveillance of Haemophilus spp. and can easily be coupled with other public genotyping and antimicrobial resistance databases. Our data also point towards a possible pathogenic role of H. haemolyticus strains, which needs to be further investigated.202235139905
2268130.9985Profile of Bacteria with ARGs Among Real-World Samples from ICU Admission Patients with Pulmonary Infection Revealed by Metagenomic NGS. BACKGROUND: Treatment of pulmonary infections in the intensive care unit (ICU) represents a great challenge, especially infections caused by antibiotic resistance pathogens. A thorough and up-to-date knowledge of the local spectrum of antibiotic resistant bacteria can improve the antibiotic treatment efficiency. In this study, we aimed to reveal the profile of bacteria with antibiotic resistance genes (ARGs) in real-world samples from ICU admission patients with pulmonary infection in Mainland, China, by metagenomic next-generation sequencing (mNGS). METHODS: A total of 504 different types of clinical samples from 452 ICU admission patients with pulmonary infection were detected by mNGS analysis. RESULTS: A total of 485 samples from 434 patients got successful mNGS results. Among 434 patients, one or more bacteria with ARGs were detected in 192 patients (44.24%, 192/434), and ≥2 bacteria with ARGs were detected in 85 (19.59%, 85/434) patients. The predominant detected bacteria were Corynebacterium striatum (C. striatum) (11.76%, 51/434), Acinetobacter baumannii (A. baumannii) (11.52%, 50/434) and Enterococcus faecium (E. faecium) (8.99%, 39/434). ermX conferred resistance to MSL(B) and cmx to phenicol were the only two ARGs detected in C. striatum; in A. baumannii, most of ARGs were resistance-nodulation-division (RND)-type efflux pumps genes, which conferred resistance to multi-drug; ermB conferred resistance to MSL(B) and efmA to multi-drug were the predominant ARGs in E. faecium. Bacteria with ARGs were detected in 50% (140/280) bronchoalveolar lavage fluid (BALF) and 50.5% (48/95) sputum samples, which were significantly higher than in blood and cerebrospinal fluid (CSF) samples. CONCLUSION: High level of bacteria with ARGs was observed in clinical samples, especially BALF and sputum samples from ICU admission patients with pulmonary infection in Mainland, China. And C. striatum resistant to MSL(B) and/or phenicol, multi-drug resistance A. baumannii and E. faecium were the lead bacteria.202134866919
1646140.9985Draft genome analysis of a multidrug-resistant Pseudomonas aeruginosa CMPL223 from hospital wastewater in Dhaka, Bangladesh. OBJECTIVES: Multidrug-resistant (MDR) clones of Pseudomonas aeruginosa can cause complicated infections in human. The emergence of ST664 of MDR P. aeruginosa has been reported in Nepal, Iran and China. Here, we present the draft genome analysis of a MDR P. aeruginosa CMPL223 isolated from hospital wastewater in Bangladesh to understand antimicrobial resistance trends and pathogenicity. METHODS: Cetrimide agar was used for isolation of P. aeruginosa. Polymerase chain reaction (PCR) was carried out for detection of biofilm and integron related genes. Bacterial susceptibility to antibiotics was determined by disc diffusion method. Sequencing of whole genomic DNA was performed using Illumina iSeq 100 platform. Following quality checking of raw reads, assembly and annotation of sequences, a wide array of in silico tools were used for characterization of draft genome. RESULTS: The isolate was a strong biofilm former, carried integron 1 in chromosomal DNA, and was predicted to be pathogenic. It belongs to sequence type ST664 and O7 serogroup. The assembled genome contained 12 acquired antimicrobial resistant (AMR) genes, 2 prophage regions, 240 virulence genes, 71 drug targets, 142 insertion sequences, and 1 CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) array. The isolate was resistant to 21 out of 23 antibiotics, except colistin and imipenem. Comprehensive Antibiotic Resistance Database and ResFinder revealed that bacteria harboured bla(OXA-50), bla(OXA-796), bla(PDC-374,) fosA, tet(G), sul1, catB7, aph(3')-iib and ant(4')-IIb genes, conferring resistance to different classes of antibiotics. The results of in vitro characterization were consistent with the possible expression of detected antibiotic resistant genes through in silico analysis. CONCLUSION: Our data suggested the emergence of MDR P. aeruginosa ST664, which needs control measures for limiting its dissemination.202235793775
5200150.9985Whole genome sequencing of the multidrug-resistant Chryseobacterium indologenes isolated from a patient in Brazil. Chryseobacterium indologenes is a non-glucose-fermenting Gram-negative bacillus. This emerging multidrug resistant opportunistic nosocomial pathogen can cause severe infections in neonates and immunocompromised patients. This study aimed to present the first detailed draft genome sequence of a multidrug-resistant C. indologenes strain isolated from the cerebrospinal fluid of an infant hospitalized at the Neonatal Intensive Care Unit of Brazilian Tertiary Hospital. We first analyzed the susceptibility of C. indologenes strain to different antibiotics using the VITEK 2 system. The strain demonstrated an outstanding resistance to all the antibiotic classes tested, including β-lactams, aminoglycosides, glycylcycline, and polymyxin. Next, C. indologenes was whole-genome-sequenced, annotated using Prokka and Rapid Annotation using Subsystems Technology (RAST), and screened for orthologous groups (EggNOG), gene ontology (GO), resistance genes, virulence genes, and mobile genetic elements using different software tools. The draft genome contained one circular chromosome of 4,836,765 bp with 37.32% GC content. The genomic features of the chromosome present numerous genes related to cellular processes that are essential to bacteria. The MDR C. indologenes revealed the presence of genes that corresponded to the resistance phenotypes, including genes to β-lactamases (bla (IND-13), bla (CIA-3), bla (TEM-116), bla (OXA-209), bla (VEB-15)), quinolone (mcbG), tigecycline (tet(X6)), and genes encoding efflux pumps which confer resistance to aminoglycosides (RanA/RanB), and colistin (HlyD/TolC). Amino acid substitutions related to quinolone resistance were observed in GyrA (S83Y) and GyrB (L425I and K473R). A mutation that may play a role in the development of colistin resistance was detected in lpxA (G68D). Chryseobacterium indologenes isolate harbored 19 virulence factors, most of which were involved in infection pathways. We identified 13 Genomic Islands (GIs) and some elements associated with one integrative and conjugative element (ICEs). Other elements linked to mobile genetic elements (MGEs), such as insertion sequence (ISEIsp1), transposon (Tn5393), and integron (In31), were also present in the C. indologenes genome. Although plasmids were not detected, a ColRNAI replicon type and the most resistance genes detected in singletons were identified in unaligned scaffolds. We provided a wide range of information toward the understanding of the genomic diversity of C. indologenes, which can contribute to controlling the evolution and dissemination of this pathogen in healthcare settings.202235966843
2350160.9985Antibiotic Resistance Profiles and MLST Typing of Staphylococcus Aureus Clone Associated with Skin and Soft Tissue Infections in a Hospital of China. OBJECTIVE: To analyze the antibiotic resistance profile, virulence genes, and molecular typing of Staphylococcus aureus (S. aureus) strains isolated in skin and soft tissue infections at the First Affiliated Hospital, Gannan Medical University, to better understand the molecular epidemiological characteristics of S. aureus. METHODS: In 2023, 65 S. aureus strains were isolated from patients with skin and soft tissue infections. Strain identification and susceptibility tests were performed using VITEK 2 and gram-positive bacteria identification cards. DNA was extracted using a DNA extraction kit, and all genes were amplified using polymerase chain reaction. Multilocus sequence typing (MLST) was used for molecular typing. RESULTS: In this study, of the 65 S. aureus strains were tested for their susceptibility to 16 antibiotics, the highest resistance rate to penicillin G was 95.4%. None of the staphylococcal isolates showed resistance to ceftaroline, daptomycin, linezolid, tigecycline, teicoplanin, or vancomycin. fnbA was the most prevalent virulence gene (100%) in S. aureus strains isolated in skin and soft tissue infections, followed by arcA (98.5%). Statistical analyses showed that the resistance rates of methicillin-resistant S. aureus isolates to various antibiotics were significantly higher than those of methicillin-susceptible S. aureus isolates. Fifty sequence types (STs), including 44 new ones, were identified by MLST. CONCLUSION: In this study, the high resistance rate to penicillin G and the high carrying rate of virulence gene fnbA and arcA of S.aureus were determine, and 44 new STs were identified, which may be associated with the geographical location of southern Jiangxi and local trends in antibiotic use. The study of the clonal lineage and evolutionary relationships of S. aureus in these regions may help in understanding the molecular epidemiology and provide the experimental basis for pathogenic bacteria prevention and treatment.202438933775
2364170.9985Association of multilocus sequencing types and antimicrobial resistance profiles of methicillin-resistant Mammaliicoccus sciuri in animals in Southern Thailand. BACKGROUND AND AIM: Mammaliicoccus sciuri, formerly known as Staphylococcus sciuri, is an opportunistic pathogen in the environment, human and animal mucosa, and skin. Although this pathogen is becoming more resistant to drugs and harmful to animals and humans, basic knowledge of this pathogen remains limited. This study aimed to investigate a new multilocus sequencing type (MLST) related to the antibiotic resistance pattern of M. sciuri from animals in southern Thailand. MATERIALS AND METHODS: We used 11 methicillin-resistant M. sciuri (MRMS) isolates in this study which were obtained from six horses, four cows, and one chicken of the previous study. Antimicrobial resistance (AMR) was re-evaluated based on the minimum inhibitory concentration using the VITEK(®) 2 automated system. Three AMR genes were examined, namely mecA, mecC, and blaZ. Staphylococcal chromosomal cassette mec (SCCmec) gene detection was performed through the multiplex polymerase chain reaction (PCR). Internal segments of the seven housekeeping genes, ack, aroE, ftsZ, glpK, gmk, pta1, and tpiA, were used for multilocus sequence typing. The population of resistant bacteria and the types of multidrug-resistant, extensively drug-resistant, and pandemic drug-resistant bacteria were classified through descriptive analysis. RESULTS: mecA and blaZ genes were detected in all isolates; however, the mecC gene was not observed in any isolate based on the PCR results. All MRMS isolates revealed a non-typable SCCmec. Seven MLSTs (71, 81, 120, 121, 122, 199, and 200) were identified in this study. CONCLUSION: The characteristics of MRMS in Southern Thailand were variable, particularly in cattle and horses. The antibiogram and SCCmec types of this pathogen remain concerns with regard to antibiotic-resistant gene transmission among Staphylococcus and Mammaliicoccus species. All MLSTs in Thailand revealed the distribution among clones in Asia, including the virulence of a zoonotic clone in Southern Thailand.202337041994
2247180.9985Metagenomic identification of pathogens and antimicrobial-resistant genes in bacterial positive blood cultures by nanopore sequencing. Nanopore sequencing workflows have attracted increasing attention owing to their fast, real-time, and convenient portability. Positive blood culture samples were collected from patients with bacterial bloodstream infection and tested by nanopore sequencing. This study compared the sequencing results for pathogen taxonomic profiling and antimicrobial resistance genes to those of species identification and phenotypic drug susceptibility using traditional microbiology testing. A total of 37 bacterial positive blood culture results of strain genotyping by nanopore sequencing were consistent with those of mass spectrometry. Among them, one mixed infection of bacteria and fungi was identified using nanopore sequencing and confirmatory quantitative polymerase chain reaction. The amount of sequencing data was 21.89 ± 8.46 MB for species identification, and 1.0 MB microbial strain data enabled accurate determination. Data volumes greater than or equal to 94.6 MB nearly covered all the antimicrobial resistance genes of the bacteria in our study. In addition, the results of the antimicrobial resistance genes were compared with those of phenotypic drug susceptibility testing for Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus. Therefore, the nanopore sequencing platform for rapid identification of causing pathogens and relevant antimicrobial resistance genes complementary to conventional blood culture outcomes may optimize antimicrobial stewardship management for patients with bacterial bloodstream infection.202338192400
5202190.9985Complete genome sequence data of multidrug-resistant Stenotrophomonas sp. strain SXG-1. Objectives A multidrug-resistant bacterium, Stenotrophomonas sp. SXG-1, was isolated from the liver of diseased hybrid sturgeon from Guizhou province, China. Methods Whole-genome sequencing was performed on the Illumina HiSeq 2500-PE125 platform with MPS (massively parallel sequencing) Illumina technology. All good quality paired reads were assembled using the SOAPdenovo into a number of scaffolds. PHI (Pathogen Host Interactions), VFDB (Virulence Factors of Pathogenic Bacteria) and ARDB (Antibiotic Resistance Genes Database) were used to analyses pathogenicity and drug resistance. Results Here we reported the complete genome sequence of Stenotrophomonas sp. SXG-1, which comprised 4534,602bp in 4077 coding sequences (CDS) with a G+C content of 66.42%. The genome contained 4 gene islands, 72 tRNAs and 13 rRNAs. According to the annotation analysis, strain SXG-1 encoded 22 genes related to the multidrug resistance. In addition to 10 genes conferring resistance to antimicrobial drugs of different classes via alternative mechanisms, 12 genes of efflux pumps were presented, 9 of which were reported for the first time in Stenotrophomonas maltophilia. Conclusion This was the first complete genome sequence of Stenotrophomonas sp. isolated from the sturgeon. The complete genome sequence of Stenotrophomonas sp. strain SXG-1 may provide insights into the mechanism of antimicrobial resistance and prevent disease.202032311503