Detection Of Resistance Genes Research Articles

Serotypes, Antimicrobial Susceptibility, and Potential Mechanisms of Resistance Gene Transfer in Erysipelothrix rhusiopathiae Strains from Waterfowl in Poland

Erysipelas is a significant problem in the waterfowl farming in Poland, and information on the characteristics of the Erysipelothrix rhusiopathiae strains causing this disease is limited. In this study, we determined the serotypes, antimicrobial susceptibility, and potential mechanisms of resistance gene transfer in E. rhusiopathiae isolates (n = 60) from domestic geese and ducks. We also developed a multiplex PCR for the detection of resistance genes. The antimicrobial susceptibility of the isolates was assessed using the broth microdilution method. Resistance genes, integrative conjugative element (ICE)-specific genes, phage-specific genes, and serotype determinants were detected by PCR. Multilocus sequence typing (MLST) was performed for selected resistant strains. The comparative analyses included 260 E. rhusiopathiae strains whose whole genome sequences (WGSs) are publicly available. E. rhusiopathiae isolates represented 7 serotypes, among which serotypes 5 (38.3%) and 1b (28.3%) were the most common. All strains were susceptible to β-lactams, and the vast majority of them were resistant to tetracycline (85%) and enrofloxacin (80%). The percentages of isolates resistant to other antimicrobials used ranged from 3.3% to 16.7%. Ten isolates (16.7%) were found to be multidrug resistant (MDR). The genotypic resistance profiles of the E. rhusiopathiae strains corresponded to their phenotypic resistance, and the amplification patterns obtained using the 10-plex PCR developed in this study were fully consistent with the results of single PCRs. The most prevalent resistance gene was tetM. In enrofloxacin-resistant strains, nonsynonymous mutations in the gyrA and parC genes were identified. The presence of ICE-specific genes was confirmed in resistant strains, and in MDR isolates of serotype 8 that represented sequence type (ST) 113, prophage DNA (Javan630-like) linked to the lsaE gene was additionally detected. The results indicate that β-lactam antibiotics should be the first choice for the treatment of waterfowl erysipelas in Poland. ICEs, including a transposon from the Tn916/Tn1545 family, and bacteriophages are most likely responsible for the transfer of resistance genes in E. rhusiopathiae.

Distribution and Molecular Characterization of Antibiotic-Resistant Pseudomonas aeruginosa in Hospital Settings of Sulaymaniyah, Iraq.

Pseudomonas aeruginosa is a significant pathogen in hospital settings, notorious for its role in hospital-acquired infections and its ability to develop resistance to multiple antibiotics. This study investigates the prevalence, distribution, and antibiotic resistance gene profiles of P. aeruginosa in seven hospitals in Sulaymaniyah City. A total of 300 samples were collected from various hospital surfaces including mops, sinks, medical equipment, beds, desks, and floors. Using bacteriological, biochemical, and molecular methods, 66 isolates were confirmed as Pseudomonas species, with 26 identified as P. aeruginosa. Antibiotic susceptibility testing revealed resistance rates of 23.3% to streptomycin, 13.6% to tobramycin, 22.7% to moxifloxacin, 21.2% to levofloxacin, and 22.7% to norfloxacin. Furthermore, the antibiotic resistance gene detection showed the presence of the bla CTX-M, bla SHV, qnrB, and bla ACC-1 genes among the isolates. The study highlights a 22% contamination rate of hospital surfaces with Pseudomonas species, emphasizing the urgent need for enhanced infection control measures and targeted antimicrobial stewardship to manage and reduce the spread of multidrug-resistant P. aeruginosa.

Evaluating Sequence Alignment Tools for Antimicrobial Resistance Gene Detection in Assembly Graphs

Antimicrobial resistance (AMR) is an escalating global health threat, often driven by the horizontal gene transfer (HGT) of resistance genes. Detecting AMR genes and understanding their genomic context within bacterial populations is crucial for mitigating the spread of resistance. In this study, we evaluate the performance of three sequence alignment tools—Bandage, SPAligner, and GraphAligner—in identifying AMR gene sequences from assembly and de Bruijn graphs, which are commonly used in microbial genome assembly. Efficiently identifying these genes allows for the detection of neighboring genetic elements and possible HGT events, contributing to a deeper understanding of AMR dissemination. We compare the performance of the tools both qualitatively and quantitatively, analyzing the precision, computational efficiency, and accuracy in detecting AMR-related sequences. Our analysis reveals that Bandage offers the most precise and efficient identification of AMR gene sequences, followed by GraphAligner and SPAligner. The comparison includes evaluating the similarity of paths returned by each tool and measuring output accuracy using a modified edit distance metric. These results highlight Bandage’s potential for contributing to the accurate identification and study of AMR genes in bacterial populations, offering important insights into resistance mechanisms and potential targets for mitigating AMR spread.

Evaluation of antibiotics resistance and transmission risk of Escherichia coli in rice-frog coculture system

In order to assess the antibiotic resistance of Escherichia coli and its transmission risk in a rice-frog coculture system in Zhejiang Province, this study collected E. coli from isolated soil, field water, and frog feces from the rice-frog coculture systems in four different areas of Zhejiang Province. The collected isolates were identified by 16S rRNA sequencing, while their antibiotic-resistant phenotypes were determined by Kirby-Bauer (K-B) method. PCR was used to identify the antibiotic-resistant genotypes and integrons, while conjugative transfer experiments were used to assess resistance transmission characteristics. The results showed a high prevalence of antibiotic resistance in the 82 strains of E. coli tested, primarily against tetracycline, sulfisoxazole, amoxicillin, and erythromycin. Most of these strains exhibited multidrug resistance, with the Fuyang area demonstrating the highest resistance rate compared to the other three areas. Further PCR analysis identified the sul1 gene as the most frequently detected resistance gene (63.41%), followed by blaTEM, tetA, and tetB. Among the 16 antibiotic resistance genes (ARGs) detected, the Fuyang isolates consistencly exhibited higher detection rate of 9 ARGs in comparison to the other regions. Additionally, the integrase gene intI1 displayed the highest detection rate, with 14 strains (34.15%) of integrase-positive bacteria carrying gene cassettes. Four different gene cassette compositions were observed, with dfrA1-aadA1 and dfrA17-aadA5 being the most common combinations. Conjugative transfer experiments demonstrated successful transfer of gene cassettes in 4 out of 14 donor bacteria, with conjugation transfer frequencies ranging from 4.32×10-5 to 7.13×10-4. These findings revealed the severity of resistance in the Fuyang area among the four regions. Integrons play a significant role in mediating the resistance to multiple antibiotics in E. coli, facilitating the potential spread of resistance gene cassettes between different bacteria. Overall, this study provides valuable insights into the resistance status and transmission characteristics of E. coli in the rice-frog coculture system in Zhejiang Province, providing a theoretical basis for ensuring the food safety of rice crops.

Assessing antimicrobial resistance in pasture-based dairy farms: a 15-month surveillance study in New Zealand.

Antimicrobial resistance is a global public and animal health concern. Antimicrobial resistance genes (ARGs) have been detected in dairy farm environments globally; however, few longitudinal studies have utilized shotgun metagenomics for ARG surveillance in pasture-based systems. This 15-month study aimed to undertake a baseline survey using shotgun metagenomics to assess the relative abundance and diversity of ARGs in two pasture-based dairy farm environments in New Zealand with different management practices. There was no statistically significant difference in overall ARG relative abundance between the two dairy farms (P = 0.321) during the study period. Compared with overseas data, the relative abundance of ARG copies per 16S rRNA gene in feces (0.08-0.17), effluent (0.03-0.37), soil (0.20-0.63), and bulk tank milk (0.0-0.12) samples was low. Models comparing the presence or absence of resistance classes found in >10% of all feces, effluent, and soil samples demonstrated no statistically significant associations (P > 0.05) with "season," and only multi-metal (P = 0.020) and tetracycline (P = 0.0003) resistance were significant at the "farm" level. Effluent samples harbored the most diverse ARGs, some with a recognized public health risk, whereas soil samples had the highest ARG relative abundance but without recognized health risks. This highlights the importance of considering the genomic context and risk of ARGs in metagenomic data sets. This study suggests that antimicrobial resistance on pasture-based dairy farms is low and provides essential baseline ARG surveillance data for such farming systems.IMPORTANCEAntimicrobial resistance is a global threat to human and animal health. Despite the detection of antimicrobial resistance genes (ARGs) in dairy farm environments globally, longitudinal surveillance in pasture-based systems remains limited. This study assessed the relative abundance and diversity of ARGs in two New Zealand dairy farms with different management practices and provided important baseline ARG surveillance data on pasture-based dairy farms. The overall ARG relative abundance on these two farms was low, which provides further evidence for consumers of the safety of New Zealand's export products. Effluent samples harbored the most diverse range of ARGs, some of which were classified with a recognized risk to public health, whereas soil samples had the highest ARG relative abundance; however, the soil ARGs were not classified with a recognized public health risk. This emphasizes the need to consider genomic context and risk as well as ARG relative abundance in resistome studies.

Prevalence, Virulence Genes, Drug Resistance and Genetic Evolution of Trueperella pyogenes in Small Ruminants in Western China.

Trueperella pyogenes is a significant opportunistic pathogen that causes substantial economic losses in animal agriculture due to its ability to infect various animal tissues and organs. Limited research has been conducted on the prevalence and biological characteristics of T. pyogenes isolated from sheep and goats. This study aimed to isolate T. pyogenes from clinical samples of sheep and goats in western China, examining genetic evolutionary relationships, antibiotic resistance, and virulence genes. Between 2021 and 2023, standard bacteriological methods were used to isolate and identify T. pyogenes from 316 samples (209 from goats and 107 from sheep) collected from 39 farms. Susceptibility to 14 antibiotics was tested using broth microdilution per CLSI guidelines, and PCR detected eight virulence genes. Whole-genome sequencing analyzed genetic relationships and gene carriage status in 39 isolates. The results indicated that 86 strains of T. pyogenes were isolated from 316 samples, yielding an isolation rate of 27.2% (goats n = 47, 22.5%; sheep n = 39, 36.4%). The virulence genes plo, cbpA, nanH, nanP, fimA, fimC, and fimE were present in 100%, 66.7%, 64.1%, 71.8%, 69.2%, 59.0%, and 82.1% of isolates, respectively, with none carrying the fimG gene. The dominant virulence genotype was plo/nanH/nanP/fimA/fimC/fimE. The isolates exhibited resistance to erythromycin (44.2%, 38/86), gentamicin (38.4%, 33/86), sulfamethoxazole/trimethoprim (37.2%, 32/86), tetracycline (32.6%, 28/86), and streptomycin (32.6%, 28/86), and low resistance to chloramphenicol (14.0%, 12/86), ciprofloxacin (7.0%, 6/86), penicillin (5.8%, 5/86), and clindamycin (4.7%, 4/86). All isolates were susceptible to cefotaxime, vancomycin, and linezolid. Among the 86 isolates, 37 (43.0%) displayed multidrug resistance (MDR) characteristics. The whole genome sequencing of 39 isolates identified eight types of resistance genes, including ant(2″)-Ia, ant(3″)-Ia, cmlA1, cmx, erm(X), lnu(A), sul1, and tet(W). Except for tet(W), erm(X), and sul1, the other resistance genes were reported for the first time in T. pyogenes isolated in China. The drug susceptibility test results and resistance gene detection for the isolated strains were consistent for tetracycline, erythromycin, gentamicin, and sulfisoxazole. Similar allelic profiles and genetic evolutionary relationships were found among isolates from different farms. This study highlights the antibiotic resistance status and virulence gene-carrying rate of Trueperella pyogenes, providing a basis for clinical medication.

Occurrence of Extended-spectrum β-lactamase (ESBL) and Carbapenemase-producing Escherichia coli isolated from Childhood Diarrhoea in Yaoundé, Cameroon

IntroductionExtended-spectrum β-lactamase (ESBL)-producing pathogenic E. coli is a global public health issue, especially in sub-Saharan African countries such as Cameroon. It contributes to increase significantly hospital length of stay, morbidity, mortality and economic costs because of treatment failures. This study aims at determining the resistance background and virulence profiles of ESBL-E. coli isolates among childhood diarrhoea during the cholera outbreak occuring in Yaoundé, Cameroon.Materials and methodsDuring a four-month periods, from March 1st to June 30th, 2023, a total of 84 stool samples were collected from 90 under five children presenting clinical signs of gastroenteritis and attending four hospitals in Yaoundé, Cameroon. Bacterial identification was done using API20E and antimicrobial susceptibility test was performed using the Kirby-Bauer disc diffusion method. After extraction, genomic DNA was subjected to conventional and multiplex polymerase chain reaction methods (PCRs) for detection of resistance and virulence genes. Statistical analysis was performed using Epi info™ (7.2.5.0). Statistical significance was considered at a p-value < 0.05.ResultsOut of 150 patients contacted, 90 patients were enrolled, 84 samples were collected, 52.38%(44/84) and 3.57%(03/84) were confirmed as extended-spectrum β-lactamase and carbapenemase-producing E. coli respectively. The risk factors were analyzed, and children who drank natural fruit juice (OR: 0.4, p-value: 0.03) were found to be significantly associated with ESBL-producing E. coli. The ESBL-producing E. coli isolates showed a high level of resistance to amoxicillin-clavulanic acid, cefotaxime, ceftazidime, cefepime, colistin, and tetracycline. The blaCTX−M was more prevalent ß-lactamase resistance gene. The tetracycline resistance genes tet(A) and tet(B) were also detected. The most important virulence genes detected were FimH (81.81%) and papA (79.54%).ConclusionThese findings suggest implementing routine surveillance and screening for antimicrobial resistance among children under five. Antimicrobial stewardship strategies (ASP) need to be implemented to curb the emergence and dissemination of ESBL-producing E. coli. In addition, a national surveillance program for antimicrobial resistance needs to be implemented at local and regional levels in order to reduce morbidity in Cameroon.

Fast and Economic Microarray-Based Detection of Species-, Resistance-, and Virulence-Associated Genes in Clinical Strains of Vancomycin-Resistant Enterococci (VRE)

Today, there is a continuous worldwide battle against antimicrobial resistance (AMR) and that includes vancomycin-resistant enterococci (VRE). Methods that can adequately and quickly detect transmission chains in outbreaks are needed to trace and manage this problem fast and cost-effectively. In this study, DNA-microarray-based technology was developed for this purpose. It commenced with the bioinformatic design of specific oligonucleotide sequences to obtain amplification primers and hybridization probes. Microarrays were manufactured using these synthesized oligonucleotides. A highly parallel and stringent labeling and hybridization protocol was developed and employed using isolated genomic DNA from previously sequenced (referenced) clinical VRE strains for optimal sensitivity and specificity. Microarray results showed the detection of virulence, resistance, and species-specific genes in the VRE strains. Theoretical predictions of the microarray results were also derived from the sequences of the same VRE strain and were compared to array results while optimizing protocols until the microarray result and theoretical predictions were a match. The study concludes that DNA microarray technology can be used to quickly, accurately, and economically detect specifically and massively parallel target genes in enterococci.

A-280 The Good, the Bad, and the Downright Inappropriate reporting of Gram Positive Resistance Genes in a Proficiency Testing Program

Abstract Background Molecular technologies can rapidly identify the pathogen, allowing for the correct antimicrobial agent to be used for initial treatment. Many laboratories have implemented molecular technologies to identify the causative agents of infections from various bodily sources. Screening for potential resistance genes to common antimicrobial agents provides high value to clinicians to help guide optimal antimicrobial therapy selection. CLIA ‘88 required proficiency testing for physician office laboratories in 1994. This was in addition to the requirement for hospital and reference laboratories instituted under CLIA ‘67. This study compares the accuracy of laboratory performance for molecular multiplex platforms in the detection of Gram positive resistance genes from gold standard qualified samples in a novel proficiency program. Methods American Proficiency Institute, an independent proficiency testing provider, reviewed the reporting of various molecular multiplex systems against simulated patient samples in proficiency samples offered in 2023. Participants were instructed to only report resistance genes their systems were capable of testing for, and ensure they were appropriate for the organism recovered. Failure rates for participants were evaluated against an 80% participant consensus standard for detection of resistance genes. Results During the 2023 proficiency year, Gram positive targets were included 14 times in 4 different multiplex programs. Accuracy for correct reporting of resistance genes appropriate for the organism recovered ranged between 71.0%- 100%. Conversely, the number of laboratories reporting resistance genes that were inappropriate for the organism recovered ranged between 2.0% - 67.0%. Conclusions Based on the results reported by participants in API’s proficiency event, Molecular Multiplex platforms are accurately identifying Gram positive resistance genes. However, many participants using both FDA approved and LDT systems reported results for resistance genes that were not applicable for the organism recovered. This inaccurate reporting could potentially lead to inappropriate antimicrobial therapies being prescribed.

A-298 A Novel DNA Array Technology to Detect and Discriminate Complex Panels of Microbial Pathogens

Abstract Background UTI (Urinary Tract Infection) is a prototype for the field of polymicrobial testing. Current testing standards suggest that UTI testing may require the Detection and Discrimination of a panel of at least (@24) bacteria and fungi (@2) along with a panel of antibiotic resistance gene (ARG) markers (&amp;gt;12). Today, such analysis of UTI’s at the DNA level can be obtained with predicates such as large-panel qPCR reactions, e.g. the Thermo OpenArray qPCR assembly, or by NGS based microbiomics. The necessary complexity of such polymicrobial testing pushes the content limits of qPCR and, although NGS has substantial capacity to resolve complex mixtures, NGS remains relatively low throughput and requires a level of data processing that exceeds what is practical in some laboratories. Methods We have developed a new technology for UTI testing, “D3 ArrayTM-UTI”, which obviates most of the present limitations of DNA based polymicrobial testing. The process begins with urine being isolated and purified using standard automated magnetic bead DNA sample prep, already in place in most molecular laboratories, at up to 96 samples in parallel. This is followed by a single multiplex, endpoint PCR reaction on each sample, also at up to 96 samples in parallel, then automated room temperature hybridization of the PCR product in a standard 96 well format, onto a single 21x21 D3 Array at the bottom of each well. Dedicated autonomous software analyzes the hybridization data yielding the complete list of microbial pathogens and ARG’s detected in a urine specimen. The first deployment of the D3 Array-UTI test is now available to support analysis of 96 urine samples in 6hrs. The results of such preliminary testing are presented here. Results aLOD analysis has been performed with purified DNA and found to be in the 0.1-10cp/RXN range among the full set of 24 bacterial species and 12 ARG targets. Concordance analysis for bacterial Species Detection and Discrimination has been performed on 235 clinical isolates obtained from collaborators at Mako Medical laboratories (Thermo Openarray as the comparator) which averaged = 97 +/- 5% for all but two species: A urinae (88%) and M morganii (94%). Concordance analysis for Antibiotic Resistance Gene Detection and Discrimination has been performed on 384 clinical isolates also obtained from Mako Medical laboratories (Thermo Openarray as the comparator) which averaged = 98 +/-5% and was found to be &amp;gt;98% for all but one ARG target: gyrA point mutation (88%). Conclusions The data provided here demonstrates that the D3 Array-UTI platform can perform complex polymicrobial/ARG testing as a high throughput 96 well plate based assay, with Sensitivity and Specificity that matches or exceeds that of qPCR, using standard automation that can be deployed in any molecular laboratory. The resulting performance is unique in that Species and ARG Discrimination are readily scalable to 3-4 dozen Species per test, performed in triplicate in a single well with completely autonomous, cloud enabled data analysis, at a sample-to-answer throughput &amp;gt;96 samples per shift. Beta testing has been initiated among laboratory partners.

PCR-free and visual detection of antibiotic resistance gene in feces genome of aquatic products by coupling CuO nanoparticles concatemers-Au@Fe3O4 and 3D DNA walker based on a portable blue light gel imager

Antibiotic resistance genes (ARGs) present a significant health issue, and the sensitive detection of ARGs is essential for preventing antibiotic resistance. Herein, a novel highly sensitive and visual biosensor was developed by combining gold nanoparticle (AuNP)-coated Fe3O4 (Au@Fe3O4), CuO nanoparticles (CuONPs) concatemers, Cu2+-triggered 3D DNA walker (DW, which included DNAzyme-capped AuNPs (DNAzyme@AuNPs) and AuNPs capped by substrate DNA modified with fluorescein (FAM-Sub@AuNPs), namely CuONPs-Au@Fe3O4-DW method. When the target ARG was present in the sample, it acted as a bridge between the complementary strand DNA (cDNA) on the surface of Au@Fe3O4 and H1-CuONP which paired with repeatedly H2-CuONP by a hybridization chain reaction, resulting in an ARG coupling multiple CuONPs (CuONPs concatemers) effects. After magnetic separation, hydrochloric acid was added to dissolve the CuONPs concatemers to release plenty of Cu2+ ions, which activated the DNAzyme@AuNPs of the DW. Subsequently, the FAM-Sub@AuNP of the DW was sheared by its DNAzyme, resulting that the FAM molecules kept away from AuNPs, and generated high fluorescence signals. The fluorescence signals can be measured by a 96-well microplate reader with a limit of detection (LOD) of 0.89 pM and visualized using a portable blue light gel imager with a LOD of 8.1 pM. Remarkably, the results of the qPCR method are high consistent with those of the microplate reader (r = −0.935) and the blue light gel imager (r = −0.994) in detecting tetA of aquatic faecal samples. Furthermore, our PCR free, high sensitivity and visual method is also suitable for the identification of other ARGs by replacing the corresponding gene sequence, and enables on-site detection of the ARGs in aquatic products by integrating the blue light gel imager.

Effect of pneumococcal conjugate vaccination on pneumococcal carriage in hospitalised children aged 2–59 months in Mongolia: an active pneumonia surveillance programme

Data on changes in pneumococcal serotypes in hospitalised children following the introduction of the pneumococcal conjugate vaccine (PCV) in low-income and middle-income countries are scarce. In 2016, Mongolia introduced the 13-valent PCV (PCV13) into the national immunisation programme. We aimed to describe the trend and impact of PCV13 introduction on pneumococcal carriage in hospitalised children aged 2-59months with pneumonia in Mongolia over a 6-year period. In this active surveillance programme, children aged 2-59months with pneumonia who met the study case definition (cough or difficulty breathing with either respiratory rate ≥50beats per min, oxygen saturation <90%, or clinical diagnosis of severe pneumonia) were enrolled between April 1, 2015, and June 30, 2021, from four districts in Ulaanbaatar. We tested nasopharyngeal samples collected at enrolment for pneumococci using lytA real-time quantitative PCR and conducted molecular serotyping and detection of antimicrobial resistance (AMR) genes with DNA microarray. We used log-binomial regression to estimate prevalence ratios (PRs) of pneumococcal carriage, comparing prevalence in the periods before and after the introduction of PCV13 and between vaccinated and unvaccinated children for three outcomes: overall, PCV13 vaccine-type, and non-PCV13 vaccine-type carriage. PRswere adjusted with covariates that were identified by use of a directed acyclic graph, informed by relevant literature. A total of 17 688 children were enrolled, of whom 17 607 (99·5%) met the study case criteria. 6545 (42·5%) of 15 411collected nasopharyngeal swabs were tested for pneumococci. In all age groups, a similar prevalence of pneumococcal carriage was shown between the pre-PCV13 period and post-PCV13 period (882 [48·0%] of 1837 vs 2174[46·2%] of 4708; adjusted PR 0·98 [95% CI 0·92-1·04]; p=0·60). Overall, vaccine-type carriage reduced by43·6% after the introduction of PCV13 (adjusted PR 0·56 [95% CI 0·51-0·62]; p<0·0001). Younger children (aged 2-23months) showed a 47·7% reduction in vaccine-type carriage (95% CI 41·2-53·5; adjusted PR 0·52 [95% CI 0·46-0·59]; p<0·0001), whereas children aged 24-59months had a 29·3% reduction (12·6-42·8; 0·71[0·57-0·87]; p=0·0014). Prevalence of 6A, 6B, 14, 19F, and 23F decreased following the introduction of PCV13; however, 19F and 6A remained common (5·8% and 2·9%). Non-vaccine-type carriage increased (adjusted PR 1·49[95% CI 1·32-1·67]), with 15A, NT2, and 15B/C being the most prevalent serotypes. Overall, 1761 (89·3%) of 1978analysed samples contained at least one AMR gene. The percentage of samples with any AMR gene decreased with vaccine introduction (92·3% in the pre-PCV13 period vs 85·3% in the post-PCV13 period; adjusted odds ratio 0·49 [95% CI 0·34-0·70]), with similar decreases for samples with at least three AMR genes (46·8% vs 27·6%; 0·44 [0·36-0·55]). 6 years after the introduction of PCV13 in Mongolia, the prevalence of vaccine-type carriage and AMR genes showed a reduction among young hospitalised children with pneumonia. Reductions in vaccine-type carriage are likely to result in reductions in pneumococcal pneumonia. GAVI, the Vaccine Alliance.

Pneumococcal transposon profiling associated with macrolide, tetracycline, and chloramphenicol resistance from carriage isolates of serotype 19F in Indonesia

Genetic evolution of resistance due to mutations and transposon insertions is the primary cause of antimicrobial resistance in Streptococcus pneumoniae. Resistance to macrolide, tetracycline, and chloramphenicol is caused by the insertion of specific genes that carried by transposon (Tn). This study aims to analyze transposon profiling associated with macrolide, tetracycline, and chloramphenicol resistance from carriage isolates of S. pneumoniae serotype 19F in Indonesia. S. pneumoniae serotype 19F isolates were collected from nasopharyngeal swab specimens from different regions in Indonesia. Genomic DNA was extracted from sixteen isolates and whole genome sequencing was performed on Illumina platform. Raw sequence data were analyzed using de novo assembly by ASA3P and Microscope server. The presence of transposons was identified with detection of int and xis genes and visualized by pyGenomeViz. The genome size of S. pneumoniae ranges from 2,040,117 bp to 2,437,939 bp, with a GC content of around 39 %. ST1464 (4/16) and ST271 (3/16) were found as the predominant sequence type among isolates. Tn2010 was the most common transposon among S. pneumoniae serotype 19F isolates (7/16) followed by Tn2009 (4/16), and Tn5253 (3/16). We identified two deletion sites within the tetM gene (2 bp and 58 bp) that confer tetracycline susceptibility from one isolate. This study suggests that genomic analysis can be employed for the detection and surveillance of antimicrobial resistance genes among S. pneumoniae strains isolated from various regions in Indonesia.

Evaluation of an expanded antibiotic resistance gene panel on prediction of antimicrobial susceptibility results for Gram-negative bacteria in blood cultures.

Prediction of Gram-negative bacteria resistance through detection of resistance genes is complex. This study evaluated a novel, direct-from-blood or bacterial isolate multiplexed PCR for the detection of 17 resistance genes, and evaluated the prediction of antimicrobial susceptibility.

Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine.

Urinary Tract Infections (UTIs) are among the most prevalent infections globally. Every year, approximately 150million people are diagnosed with UTIs worldwide. The current state-of-the-art diagnostic methods are culture-based and have a turnaround time of 2-4 days for pathogen identification and susceptibility testing. This study first establishes an optical density culture-based method for spiking healthy urine samples with the six most prevalent uropathogens. Urine samples were spiked at clinically significant concentrations of 103-105 CFU/ml. Three DNA extraction kits (BioStic, PowerFood, and Blood and Tissue) were investigated based on the DNA yield, average processing time, elution volume, and the average cost incurred per extraction. After DNA extraction, the samples were sequenced using MinION and Flongle flow cells. The Blood and Tissue kit outperformed the other kits based on the investigated parameters. Using nanopore sequencing, all the pathogens and corresponding genes were only identified at a spike concentration of 105 CFU/ml, achieved after 10min and 3 hours of sequencing, respectively. However, some pathogens and antibiotic-resistance genes (ARG) could be identified from spikes at 103 colony formation units (CFU/mL). The overall turnaround time was five hours, from sample preparation to sequencing-based identification of pathogen ID and antimicrobial resistance genes. This study demonstrates excellent promise in reducing the time required for informed antibiotic administration from 48 to 72h to five hours, thereby reducing the number of empirical doses and increasing the chance of saving lives.

Prevalence and molecular characterization of multidrug-resistant coagulase negative staphylococci from urban wastewater in Delhi-NCR, India.

Antimicrobial resistance (AMR) is global health concern escalating rapidly in both clinical settings and environment. The effluent from pharmaceuticals and hospitals may contain diverse antibiotics, exerting selective pressure to develop AMR. To study the aquatic prevalence of drug-resistant staphylococci, sampling was done from river Yamuna (3 sites) and wastewater (7 sites) near pharmaceutical industries in Delhi-NCR, India. 59.25% (224/378) were considered presumptive staphylococci while, methicillin resistance was noted in 25% (56/224) isolates. Further, 23 methicillin-resistant coagulase negative staphylococci (MR-CoNS) of 8 different species were identified via 16S rRNA gene sequencing. Multidrug resistance (MDR) was noted in 60.87% (14/23) isolates. PCR based detection of antibiotic resistance genes revealed the number of isolates containing mecA (7/23), blaZ (6/23), msrA (10/23), aac(6')aph (2") (2/23), aph(3')-IIIa (2/23), ant(4')-Ia (1/23), dfrG (4/23), dfrA(drfS1) (3/23), tetK (1/23) and tetM (1/23). The current research highlights the concerning prevalence of MDR-CoNS in aquatic environment in Delhi.

Comparative performance of electronegative membrane filtration and automated concentrating pipette for detection of antibiotic resistance genes and microbial markers in river water samples

The target viral and bacterial concentrations in river water are essential for environmental monitoring and public health studies. Filtration-based methods are commonly employed, yet challenges arise due to recoverability and filter pore size. This study aimed to compare the performance of electronegative membrane filtration (EMF) and automated Concentrating Pipette (CP) Select (InnovaPrep) methods for quantifying antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), and bacterial and viral markers in river water samples. Fifty-four river water samples were collected from upstream and downstream locations in a river in Japan. The CP Select method was modified by adding MgCl2 and using different tips. The recovery efficiencies for total coliforms and Escherichia coli were assessed, and class 1 integron-integrase gene (intI1), 16S rRNA, gene encoding sulfonamide resistance (sul1), cross-assembly phage (crAssphage), pepper mild mottle virus (PMMoV), and Escherichia coli gene (sfmD) were detected. CP Select showed recovery efficiencies of 45 %–63 % for total coliforms and 17 %–35 % for E. coli. The intI1, 16S rRNA, sul1, crAssphage, PMMoV, and sfmD concentrations using the modified CP Select method were 10.1 ± 0.5, 8.7 ± 0.2, 7.7 ± 0.2, 6.7 ± 0.2, 5.4 ± 0.2, and 3.5 ± 0.5 log10 copies/L, respectively. Higher intI1 and sul1 concentrations were observed downstream, with the highest contribution percentage (22 % and 21 %) using CP Select or EMF. The modified CP Select method with 0.05 μm tips yielded more quantifiable results for all target genes and greater PMMoV concentrations (p < 0.05). Positive correlations were found among bacterial, ARG/MGE, and viral markers (Spearman's ρ = 0.71 for 16S rRNA and sfmD, 0.88 for intI1 and sul1, and 0.64 for PMMoV and crAssphage). The modified CP Select method demonstrated effective recovery of bacteria and quantification of ARGs, MGEs, and microbial markers in river water. Further studies are required to validate these methods and confirm their applicability in diverse environmental contexts.

Hypermucoviscous Klebsiella Pneumoniae Caused Community-Acquired Pneumonia in Gondar, Northwest Ethiopia.

The incidence of hypermucoviscous Klebsiella pneumoniae (hmvKp), which complicates community-acquired pneumonia, has been increasing recently. This study aimed to detect hypermucoviscous K. pneumoniae and determine its antimicrobial susceptibility pattern in adult patients with community-acquired pneumonia in Northwest Ethiopia. This cross-sectional study included 39 K. pneumoniae isolates identified by using Gram stain, culture, and biochemical tests from 312 adult patients with community-acquired pneumonia at the University of Gondar Comprehensive Specialized Referral Hospital from April to June 2021. The hypermucoviscous strains were identified by using the string test. Antimicrobial susceptibility testing was performed by using the Kirby-Bauer disk dif-fusion method. Data were entered by using EPI data version 4.6 and were analyzed by using SPSS version 20. A p-value ≤ 0.05 at a 95% confidence interval was considered statistically significant. Overall, 35.9% (n = 14) of the 39 K. pneumoniae isolates were hypermucoviscous phenotype. The mean age of the hmvKp group was lower than of the cKp group (36.93 ± 12.573 vs. 53.52 ± 19.556 years, p = 0.007). All hmvKp isolates were resistant to amoxicillin-clavulanic acid and trimethoprim-sulfamethoxazole. Azithromycin resistance in the hmvKp strains was significantly higher than in the cKp group (p = 0.012). This study demonstrates that the hmvKp phenotype causes community-acquired pneumonia and a full resistance to amoxicillin-clavulanic acid and trimethoprim-sulfamethoxazole. Antimicrobial resistance was higher in the hmvKp strain than in the classic strains. Further detection of resistance genes, capsular serotypes, hypermucoviscosity-related genes, and virulence genes is necessary.

Characterization of Metronidazole, Clarithromycin and Amoxicillin Resistance Genes in Helicobacter pylori Isolated from Gastroenteritis Patients.

Helicobacter pylori (H. pylori)is a Gram-negative, microaerophilic, and spiral shape bacterium that resides inside the human stomach. The human stomach serves as its primary reservoir. Complaints about stomach complication due to H. pylori infections are reported in the majority of populations around the globe. Chronic gastritis and intestinal metaplasia of the gastric mucosa are major complications of a long-term H. pylori infections that can lead to gastric cancer in severe cases. This study aims to characterize H. pylori isolates from gastroenteritis patients and to determine the resistance of H. pylori to various antibiotics. In the current study, a total of (n = 80) gastric biopsy samples were randomly collected from gastroenteritis patients in brain-heart infusion broth. These were inoculated on Columbia blood agar supplemented with Helicobacter pylori selective supplement (DENT). After culturing, Microscopy and biochemical tests were performed. The susceptibility profile of H. pylori isolates was evaluated using the Kirby Bauer disk diffusion method. On the basis of the drug resistance profile, a total of (n = 20) isolates including (n = 10) from females and (n = 10) from males were selected for the detection and characterization of resistant genes. After confirmation of H. pylori using 16s rRNA, polymerase chain reaction (PCR) was done for the detection of resistance genes including Metronidazole resistance (rdxA gene), Clarithromycin resistance (23s rRNA gene) and Amoxicillin resistance (Penicillin-binding protein A1 (pbpA1) gene). In a total of (n = 80) samples, H. pylori was isolated from 72.5% (n = 58) samples. Among the positive patients, there were 62% (n = 36) of female positive patients while in males, its ratio was 38% (n = 22). It was more common in the age between 30-50 years 55.17% (n = 32). It has shown the highest resistance towards Metronidazole 90% (n = 52), and the lowest toward Levofloxacin 65% (n = 38). Metronidazole resistance gene (rdxA gene) was detected in (n = 13) isolates including (n = 9) isolates from females and (n = 4) from males. In the case of, the Clarithromycin resistance gene (23s rRNA) (n = 10) was positive for H. pylori including (n = 6) isolates from females and (n = 7) were positive for Amoxicillin (pbpA1 gene) including (n = 2) in female and (n = 5) from male patients. This study highlights the increasing incidence of H. pylori infections in both male and female patients. It also revealed the current status of antibiotic resistance and its resistance genes in patients facing gastrointestinal issues. Continuous surveillance of resistant clones will help in formulating strategies that can help in combating of resistant clone. It will also help clinician in proper prescription and management of H. pylori infections.

Molecular Evolution of Rice Blast Resistance Gene bsr-d1

Rice blast, caused by the fungus Magnaporthe oryzae, reduces rice yields by 10% to 35%. Incorporating plant blast resistance genes into breeding programs is an effective strategy to combat this disease. Understanding the genetic variants that confer resistance is crucial to this strategy. The gene Bsr-d1 encodes a C2H2-like transcription factor, and its recessive allele confers broad-spectrum resistance against infections by various strains of M. oryzae. In this study, we investigated the molecular evolution of the rice blast resistance gene bsr-d1 in a representative population consisting of 827 cultivated and wild rice varieties. Our results revealed that wild rice exhibited significantly higher nucleotide diversity, with polymorphic regions primarily concentrated in the promoter region, in contrast to indica and japonica rice varieties. The Bsr-d1 gene displayed significant differentiation between indica and japonica, with the bsr-d1 resistance allele being unique to indica. Haplotype network and phylogenetic analyses suggested that the bsr-d1 resistance allele most likely originated from Oryza nivara in the region adjacent to the Indian Peninsula and the Indochina Peninsula. Moreover, we explored the utilization of bsr-d1 resistance alleles in China and designed a pair of DNA primers based on the polymorphic sites for the detection of the bsr-d1 resistance gene. In summary, our study uncovering the origin and evolution of bsr-d1 will enhance our comprehension of resistance gene variation and expedite the resistance breeding process.