Detection Of Resistance Genes Research Articles

Detection of antimicrobial resistance genes in Lactobacillus spp. from poultry probiotic products and their horizontal transfer among Escherichia coli

The study was conducted to identify the antimicrobial resistance genes (ARGs) in Lactobacillus spp. from poultry probiotic products and their potential to spread among Escherichia coli. Lactobacillus spp. were isolated and identified from 35 poultry probiotic samples based on the cultural, biochemical, and molecular findings. All the isolates (n = 35) were screened for the presence of some ARGs such as β-lactamases encoding genes (blaTEM, blaCTXM-1, and blaCTXM-2), plasmid-mediated quinolone resistance gene (qnrA, qnrB, and qnrS), and tetracycline resistance genes (tetA and tetB). Five Lactobacillus spp. isolates from three brands were positive for one or more ARGs. The qnrS was detected in four isolates. The blaTEM and tetB were detected in two isolates. One isolate contained blaCTX-M-1, blaCTX-M-2, and tetA genes. Brand-wise analysis revealed that one isolate from Brand 4 contained blaTEM, blaCTX-M-1, blaCTX-M-2, qnrS, and tetA genes, one isolate from Brand 2 contained blaTEM gene, and three isolates from Brand 7 harbored qnrS gene. The co-culture of Lactobacillus spp. and E. coli resulted in the transmission of qnrS, CTX-M-1, and tetA from Lactobacillus spp. to E. coli. Results of antimicrobial susceptibility test revealed that the highest resistance was observed to cefepime and cefotaxime followed by penicillin G, oxacillin, cefuroxime, and ofloxacin. The findings of the present study indicate the potential risk of horizontal spread of antimicrobial resistance through probiotic bacteria among the poultry population. Therefore, it is very necessary to check for ARGs along with other attributes of probiotic bacteria to avoid the inclusion of resistant strains in probiotics.

Prevalence and resistance to antibacterial agents in Salmonella enterica strains isolated from poultry products in Northern Kazakhstan.

Salmonella is one of the main causative agents of foodborne infections. The source of the pathogen, in most cases, is poultry products. The intensification of poultry farming and the constant and uncontrolled use of antimicrobials has led to an increase in the level of antibiotic resistance, especially in developing countries. This study aimed to determine the level of sensitivity to antimicrobial agents in Salmonella enterica strains isolated from poultry products in Northern Kazakhstan, as well as to determine the genetic mechanisms of resistance and the presence of integrons. In total, 398 samples of poultry products sold in Northern Kazakhstan were selected. Salmonella strains were isolated from product samples using microbiological methods. Salmonella was identified based on morphological, biochemical, and serological methods, as well as polymerase chain reaction (PCR). Sensitivity testing for antimicrobial agents was performed using the disk diffusion method. The detection of resistance genes was performed using PCR and gel electrophoresis. Out of 398 samples of poultry products, a total of 46 Salmonella isolates were obtained. Most of the isolates belong to the serovar Salmonella Enteritidis (80.4%). The assessment of sensitivity to antibacterial agents showed that Salmonella was mainly resistant to nalidixic acid (63%), furadonin (60.9%), ofloxacin (45.6%), and tetracycline (39.1%). In 64.3% of cases, Salmonella was resistant to three or more groups of antibacterial agents. Resistance genes such as tetA, tetB, blaTEM, aadA, sul3, and catII, as well as integrons of two classes (teg1 and teg2), were identified. Poultry products contain antimicrobial-resistant strains of Salmonella, as well as genes encoding resistance mechanisms. The results emphasize the need for constant monitoring of not only pathogenic microorganisms but also their sensitivity to antimicrobial agents. The potential threat to human health requires a unified approach to the problem of antibiotic resistance from representatives of both public health and the agroindustrial complex.

Smartphone-operated affordable PCR thermal cycler for the detection of antimicrobial resistant bacterial genes.

Antimicrobial resistance (AMR) is a global public health threat. Surveillance of AMR requires affordable, rapid, and user-friendly diagnostic methods. Our aim was to develop a low-cost thermocycler to perform polymerase chain reaction (PCR). We developed a smartphone-operated PCR thermal cycler using locally available recycled materials. The thermal cycler was used for the amplification for three bacterial genes-bla-TEM, bla-CTXM and 16s rRNA in human urine samples. The performance of custom-built thermal cycler was compared with commercial thermal cycler. The thermal cycler was portable (<1kg weight), required 12 V power supply, 25 μL of solution, and cost only USD50.0. Temperature and time conditions were instructed using a custom-built smartphone application. The ramping rate of was 0.23°C for heating and 0.43°C for cooling. The reported temperatures were within ± 0.5°C of set temperature. The human urine samples were highly resistance and multi-resistant. Nearly 46% (n = 54) E. coli isolates were positive in ESBL screening test. The custom-built thermocycler was able to accurately predict the presence of bla-TEM, bla-CTXM genes, and 16s rRNA (n = 6). We developed and demonstrated a portable, low-cost, easy-to-use, and smartphone-operated PCR thermal cycler. Since it is portable, it can be used in remote location and field settings, including places without stable power supply. The use of the thermal cycler system can be extended, beyond the detection of AMR genes, e.g., in clinical diagnosis, genetics, forensic analysis, and environmental protection.

Molecular Identification of Prevalent Streptococcus Pyogenes Serogroup Associated with Respiratory Tract Infections in Children

The current study intends to characterize the respiratory tract infections that have an association with gram positive bacterial pathogens, emm typing, the pattern of antibacterial resistance in isolated pathogens, phenotyping of virulence factor and molecular detection of Macrolide resistance gene. Various samples from patients with respiratory tract infections were collected and identification and antimicrobial susceptibility of clinical isolates was performed as per standard laboratory procedure. Macrolides (Eruthromycin, Clindamycin)-resistant isolates were again subjected to MIC method. Macrolide-inducible resistance to clindamycin (D test) was conducted upon Erythromycin and Clindamycin discs. Multiplex PCR was used to detect the resistance genes in all the three types of macrolide resistance strains. Serum Opacity Factor (SOF) was detected for all the isolates of GAS. Every isolate was checked to produce biofilm through micro titre plate method. Bacterial growth got registered in 156 (36.28%) samples. The most common isolate from URI samples was GAS i.e., 64 (14.9%), only to be followed by GGS 38(8.8%), GCS 29 (6.7%) and Staphylococcus aureus 18 (4.2%). Among GAS, only one isolate was recorded from blood, whereas 8.50% from sputum and the rest. All 71 GAS isolates were found to exhibit sensitivity towards Penicillin and Ceftriazone. GAS exhibited 55% Mtype of resistance whereas 40% were resistant to cMLS and 5% to iMLS. GCS showcased an equal number of cMLS and M type too. GGS portrayed 54.54% resistance to cMLS followed by 36.36% to Mtype and 9.09% to iMLS. The current study found iMLS type with least resistance. The current study identified that Streptococcus pyogenes is the most common bacteria that cause and recur the infection. The prevalence of resistance tends to change geographically and periodically. For this purpose and to achieve a sound public health outcome, periodical screening of antibiotic-resistance pattern becomes inevitable.

Low-Level Tetracycline Resistance Gene tet(O)_3 in Campylobacter jejuni

Campylobacter (C.) spp. are the most important foodborne, bacterial, and zoonotic pathogens worldwide. Resistance monitoring of foodborne bacterial pathogens is an important tool to control antimicrobial resistance as a part of the "One Health" approach. The detection and functionality of new resistance genes are of paramount importance in applying more effective screening methods based on whole genome sequencing (WGS). Most tetracycline-resistant C. spp. isolates harbor tet(O), a gene that encodes a ribosomal protection protein. Here we describe tet(O)_3, which has been identified in two food isolates of C. jejuni and is very similar to the tet(O) gene in Streptococcus pneumoniae, having a truncated promoter sequence. This gene confers resistance to tetracycline below 1 mg/L, which is the epidemiological cut-off value. We have analyzed the entire genome of these two isolates, together with a C. jejuni isolate found to have high-level resistance to tetracycline. In contrast to the highly resistant isolate, the promoter of tet(O)_3 is highly responsive to tetracycline, as observed by reverse transcription polymerase chain reaction (RT-PCR). In addition, the two isolates possess a CRISPR repeat, fluoroquinolone resistance due to the gyrA point mutation C257T, a β-lactamase resistance gene blaOXA-184, a multidrug efflux pump CmeABC and its repressor CmeR, but no plasmid. Low-level antibiotic resistant C. jejuni might therefore have an advantage for surviving in non-host environments.

Molecular characterization and detection of antibiotic resistant genes of bacteria isolated from yoghurt in Port Harcourt Metropolis, Nigeria

Currently, molecular identification is replacing the conventional method because of its precision and reliability whereas the effectiveness of antibacterial treatments has continuously declined due to antimicrobial resistance (AMR). This study aimed to identify the bacterial isolates; phenotypically and molecularly as well as detect the resistant genes after susceptibility testing of the isolates obtained from yoghurt samples. Standard microbiological techniques and molecular analysis were applied on both samples (commercial and home-made yoghurt) for species validation. Forty-four (44) bacterial species were identified, phenotypically belonging to three (3) genera; Bacillus, Staphylococcus and Lactobacillus and an additional genus Bifidobacterium emerged from molecular analysis. The microbial load of the yoghurt samples was not statistically significant at (p≥0.05). A sensitivity test on the species was carried out using Kirby-Bauer disc diffusion method with some standard antibiotics. The results revealed that Bacillus and Staphylococcus species were resistant to ampicillin and augmentin (100%) but susceptible to ofloxacin and gentamicin respectively. Lactobacillus spp. were susceptible to ofloxacin and ceftazidime (100%), and resistant to ampicillin, augmentin, and ciprofloxacin (100%). The six most resistant species were molecularly identified as S. aureus CP019117, S. epidermidis AB68833, B. megaterium KC246043, B. cereus NC004722, Lactobacillus casei NC008526 and Bifidobacterium lactis CP003941. Resistant bacteria with mecA gene are S. aureus and S. epidermidis and those with ampC gene are Bifidobacterium lactis and Lactobacillus casei. However, neither gene was found in the genome of any Bacillus species. However, the data also revealed that the bacterial species in home-made yoghurt samples were negative for mecA and ampC resistant genes but positive in the commercial samples. These genes contributed to the bacterial isolates' high levels of multidrug resistance (MDR). The presence of resistant genes in bacterial species from commercial yoghurt samples remains a challenge for food safety. Therefore, good manufacturing practice, proper hygiene and sanitation is hereby advocated to avoid serious emerging foodborne illnesses.

Antimicrobial susceptibility test and antimicrobial resistance gene detection of extracellular enzyme bacteria isolated from tilapia (Oreochromis niloticus) for probiotic candidates.

Antimicrobial resistance (AMR) is a global problem that can increase mortality and morbidity rates and adversely affect health. Therefore, AMR control must be carried out in various sectors, including the fisheries sector, using probiotics. Bacteria can become resistant to antibiotics, including bacteria used for probiotics. This study aimed to isolate bacteria as potential producers of extracellular enzymes, phenotypic characterization, and antibiotic-resistant gene patterns. In this study, 459 bacterial isolates were isolated from the stomach of tilapia in Indonesia. Tilapia was obtained from Sukabumi, Ciamis, Serang, Banjarnegara, Jayapura, Sorong, Manokwari Selatan, Takalar, Lampung, Batam, and Mandiangin. Enzymatic bacteria were identified. An antimicrobial susceptibility test was conducted by agar disk diffusion, and genotypic detection of encoding genes was performed using a molecular method. This study obtained 137 isolates (29.84%) that can produce extracellular enzymes. The highest number of E-sensitive isolates was found, including 130 isolates (94.89%). Six isolates (6/137) can produce four enzymes (amylase, protease, cellulose, and lipase), and they were sensitive to antibiotics. A total of 99 isolates can produce extracellular enzymes, and they were sensitive to antibiotics. Such isolates serve as a consortium of probiotic candidates. The isolates that are resistant to oxytetracycline (OT), erythromycin (E), tetracycline (TE), and enrofloxacin (ENR) included 15 isolates (10.95%), seven isolates (5.11%), three isolates (2.19%), and one isolate (0.73%), respectively. In addition, four isolates (2.92%) were detected as multidrug-resistant. The tet(A) gene obtained the highest result of detection of resistance genes in isolates that were intermediate and resistant to TE and OT. Isolates that serve as ENR intermediates have a high qnr(S) resistance gene. The data in this study provide the latest update that bacteria can serve as a consortium of potential probiotics with antibiotic-resistant genes for the treatment of fish. Bacteria that are intermediate to antibiotics may contain resistance genes. The results of this study will improve the policy of probiotic standards in Indonesia.

Performance evaluation of whole genome metagenomics sequencing with the MinION nanopore sequencer: Microbial community analysis and antimicrobial resistance gene detection

Recently, the human gut microbiota has been implicated in various diseases such as immunological and neuropsychiatric disorders, and comprehensive gut microbiota analysis by metagenomic analysis using next-generation sequencers has been attracting attention. In this study, we compared microbial communities of 16S rDNA metagenome sequencing (16S-meta) and whole genome metagenome sequencing (WG-meta) using the nanopore sequencer MinION and 16S-meta using the Illumina Miseq sequencer with simulated and fecal samples, and evaluated the ability of WG-meta to detect antimicrobial resistance genes. We used the commercial Microbial Community DNA Standard as the DNA standard and a simulated sample comprising 17 strains of 15 bacterial species. In the detection of antimicrobial resistance genes, we used a simulated sample and spiked fecal samples containing Escherichia coli carrying blaCTX-M-27, Klebsiella pneumoniae carrying blaOXA-48, and Staphylococcus aureus carrying mecA. WG-meta using MinION was superior to 16S-meta and could accurately analyze the microbial communities at the species level, but it underestimated or misidentified the Bacillus subtilis group, Cryptococcus neoformans, Shigella sonnei, and Campylobacter jejuni. WG-meta using MinION could analyze the microbial communities in 5 min, and antimicrobial resistance gene detection using WG-meta could be performed in >30 min in the simulated sample with fewer bacterial counts.

Nanopore-only assemblies for genomic surveillance of the global priority drug-resistant pathogen, Klebsiella pneumoniae.

Oxford Nanopore Technologies (ONT) sequencing has rich potential for genomic epidemiology and public health investigations of bacterial pathogens, particularly in low-resource settings and at the point of care, due to its portability and affordability. However, low base-call accuracy has limited the reliability of ONT data for critical tasks such as antimicrobial resistance (AMR) and virulence gene detection and typing, serotype prediction, and cluster identification. Thus, Illumina sequencing remains the standard for genomic surveillance despite higher capital and running costs. We tested the accuracy of ONT-only assemblies for common applied bacterial genomics tasks (genotyping and cluster detection, implemented via Kleborate, Kaptive and Pathogenwatch), using data from 54 unique Klebsiella pneumoniae isolates. ONT reads generated via MinION with R9.4.1 flowcells were basecalled using three alternative models [Fast, High-accuracy (HAC) and Super-accuracy (SUP), available within ONT's Guppy software], assembled with Flye and polished using Medaka. Accuracy of typing using ONT-only assemblies was compared with that of Illumina-only and hybrid ONT+Illumina assemblies, constructed from the same isolates as reference standards. The most resource-intensive ONT-assembly approach (SUP basecalling, with or without Medaka polishing) performed best, yielding reliable capsule (K) type calls for all strains (100 % exact or best matching locus), reliable multi-locus sequence type (MLST) assignment (98.3 % exact match or single-locus variants), and good detection of acquired AMR genes and mutations (88-100 % correct identification across the various drug classes). Distance-based trees generated from SUP+Medaka assemblies accurately reflected overall genetic relationships between isolates. The definition of outbreak clusters from ONT-only assemblies was problematic due to inflation of SNP counts by high base-call errors. However, ONT data could be reliably used to 'rule out' isolates of distinct lineages from suspected transmission clusters. HAC basecalling + Medaka polishing performed similarly to SUP basecalling without polishing. Therefore, we recommend investing compute resources into basecalling (SUP model), wherever compute resources and time allow, and note that polishing is also worthwhile for improved performance. Overall, our results show that MLST, K type and AMR determinants can be reliably identified with ONT-only R9.4.1 flowcell data. However, cluster detection remains challenging with this technology.

Detection of Pathogens and Antimicrobial Resistance Genes in Ventilator-Associated Pneumonia by Metagenomic Next-Generation Sequencing Approach.

The early identification of pathogens and their antibiotic resistance are essential for the management and treatment of patients affected by ventilator-associated pneumonia (VAP). However, microbiological culture may be time-consuming and has a limited culturability of many potential pathogens. In this study, we developed a rapid nanopore-based metagenomic next-generation sequencing (mNGS) diagnostic assay for detection of VAP pathogens and antimicrobial resistance genes (ARGs). Endotracheal aspirate (ETA) samples from 63 patients with suspected VAP were collected between November 2021 and July 2022. Receiver operating characteristic (ROC) curves were established to compare the pathogen identification performance of the target pathogen reads, reads percent of microbes (RPM) and relative abundance (RA). The evaluation of the accuracy of mNGS was performed comparing with the gold standard and the composite standard, respectively. Then, the ARGs were analyzed by mNGS. ROC curves showed that RA has the highest diagnostic value and the corresponding threshold was 9.93%. The sensitivity and specificity of mNGS test were 91.3% and 78.3%, respectively, based on the gold standard, while the sensitivity and specificity of mNGS test were 97.4% and 100%, respectively, based on the composite standard. A total of 13 patients were virus-positive based on mNGS results, while the coinfection rate increased from 27% to 46% compared to the rate obtained based on clinical findings. The mNGS test also performed well at predicting antimicrobial resistance phenotypes. Patients with a late-onset VAP had a significantly greater proportion of ARGs in their respiratory microbiome compared to those with early-onset VAP (P = 0.041). Moreover, the median turnaround time of mNGS was 4.43 h, while routine culture was 72.00 h. In this study, we developed a workflow that can accurately detect VAP pathogens and enable prediction of antimicrobial resistance phenotypes within 5 h of sample receipt by mNGS.

Detection of Antibiotic Resistance Genes (CTX-M, Van A and Van B) of Enterococcus faecalis Isolated from Children with Bacteremia by RT-PCR.

Fever is one of the most common diseases affecting humans, as it results from any disease or development and worsening of the disease for most people with widespread infections in the body. Therefore, this study aimed to evaluate antibiotic resistance genes (CTX-M, Van A and Van B) of Enterococcus faecalis isolated from children with bacteremia by RT-PCR. A total of 200 children was enrolled in the study, 100 children with fever and 100 healthy children (not suffering from any problem); that is, they are a control group for the detection of antibiotic resistance genes (CTX-M, Van A and Van B) of Enterococcus faecalis by RT-PCR. The age of the two groups ranged from one to five years. Four ml of venous blood sample was collected from each child; the venipuncture area was sterilized first with alcohol at a rate of 70%, followed by medical iodine and then sterilized with alcohol again to avoid contamination with skin flora. The blood samples were cultured on media for isolating bacteria. Then, the resistant isolates of E. faecalis to Vancomycin and cefotaxime antibiotics were taken and kept in special nutrient agar media where the DNA of the bacteria was extracted using (Zymogene Extraction kit, Japan). The detection of the exact genes (CTX-M, Van A and Van B) was done using Real-Time PCR technology according to the protocol mentioned by the company (Sacace biotechnology, Italy). The study presented that 40% of children with fever have positive blood cultures compared with 5% in the control group, with a significant difference between the two groups (P<0.001). The study found that 32.5% of bacteremic children were due to S. aureus, 30%, 5%, and 4% were due to E. faecalis, E. coli, P. aeruginosa and Klebsiella spp, respectively, with significant difference (P<0.01). The study showed that 91.67% of E. faecalis isolates were sensitive to Levofloxacin, 83.33% to Amoxiclav, 66.67% to Erythromycin, 58.33% to Amikacin, 50% to Ampicillin, 33.33% to cefotaxime and Ceftriaxone and 25% toward Vancomycin. From 9 isolates resistant to Vancomycin, the study presented that 88.89% of them were observed with Van A gene production as detected by real-time PCR (P<0.001). The study also showed that 77.78% were observed with Van B gene production as detected by real-time PCR (P<0.001). The study revealed that all E. faecalis isolates resistant to cefotaxime and Ceftriaxone were characterized by CTX gene production as detected by real-time PCR (P<0.001).

Evaluation of multiplex nanopore sequencing for Salmonella serotype prediction and antimicrobial resistance gene and virulence gene detection.

In a previous study, Multiplex-nanopore-sequencing based whole genome sequencing (WGS) allowed for accurate in silico serotype prediction of Salmonella within one day for five multiplexed isolates, using both SISTR and SeqSero2. Since only ten serotypes were tested in our previous study, the conclusions above were yet to be evaluated in a larger scale test. In the current study we evaluated this workflow with 69 Salmonella serotypes and also explored the feasibility of using multiplex-nanopore-sequencing based WGS for antimicrobial resistance gene (AMR) and virulence gene detection. We found that accurate in silico serotype prediction with nanopore-WGS data was achieved within about five hours of sequencing at a minimum of 30× Salmonella genome coverage, with SeqSero2 as the serotype prediction tool. For each tested isolate, small variations were observed between the AMR/virulence gene profiles from the Illumina and Nanopore sequencing platforms. Taking results generated using Illumina data as the benchmark, the average precision value per isolate was 0.99 for both AMR and virulence gene detection. We found that the resistance gene identifier - RGI identified AMR genes with nanopore data at a much lower accuracy compared to Abricate, possibly due to RGI's less stringent minimum similarity and coverage by default for database matching. This study is an evaluation of multiplex-nanopore-sequencing based WGS as a cost-efficient and rapid Salmonella classification method, and a starting point for future validation and verification of using it as a AMR/virulence gene profiling tool for the food industry. This study paves the way for the application of nanopore sequencing in surveillance, tracking, and risk assessment of Salmonella across the food supply chain.

Isolation of Pseudomonas aeruginosa from Persistent Bacterial Coinfection of a COVID-19 Patients with Molecular Detection of Antibiotics Resistance Genes.

Pseudomonas aeruginosa(P. aeruginosa) have a considerable risk to public health in the world, due to its high ability to develop resistance to different classes of antibiotics. It has been discovered as a prevalent coinfection pathogen that causes sickness exacerbation in COVID-19 patients. This study aimed to determine the prevalence of P. aeruginosa from COVID-19 patients in Al Diwaniyah province, Iraq and to identify its genetic resistance pattern. 70 clinical samples were obtained from severe cases of patients (RT-PCR positive for SARS-COV-2 on a nasopharyngeal swab) who attended Al Diwaniyah Academic Hospital. 50 P. aeruginosa bacterial isolates were detected via microscopic examination, routine cultured and biochemical testing, then validated by the VITEK-2 compact system. VITEK reported 30 positive results, which later confirmed through molecular detection using 16s RNA specific for detection and a phylogenetic tree.20 isolates had positive PCR findings and 5 isolates submitted to GenBank with accession numbers OL314557.1, OL314556.1, OL314555.1, OL314554.1, OL314553.1.For antibiotic resistance genes, the number of the isolates containing blaOXA-1 and blaCTX-M 18 (90 percent) and 16 (80 percent) respectively. To study its adaptation in a SARS-CoV-2 infected environment, genomic sequencing investigations were undertaken with phenotypic validation. In conclusion, we demonstrate that multidrug resistant P. aeruginosa play an important role in in vivo colonization in COVID-19 patients and could be one of the causes of death of these patients which indicates the great challenge to clinicians in the facing of this serious disease.

Detection of AcrA and AcrB Efflux Pumps in Multidrug-Resistant Klebsiella pneumonia that Isolated from Wounds Infection Patients in Al-Diwaniyah Province.

Many infections produced by multidrug-resistant (MDR) Klebsiella pneumoniae are the main cause of death and treatment restrictions worldwide. In K. pneumoniae, the efflux pump system is dangerous in drug resistance. Therefore, this study was designed to investigate the involvement of the AcrA and AcrB efflux pumps in antibiotic resistance in Klebsiella pneumoniae isolated from wound patients. During June 2021-February 2022, 87 clinical isolates of Klebsiella pneumonia bacteria were obtained from wound samples patients consulted to the hospitals in AL-Diwaniyah province, Iraq. The disc diffusion method performed an antibiotic susceptibility test after microbiological/biochemical identification. The polymerase chain reaction (PCR) technique was used to examine efflux genes' prevalence (acrA and acrB). The results showed that resistance to Carbenicillin 72 (82.7%), Erythromycin 66 (75.8%), Rifampin 58 (66.6%), Ceftazidime 52 (59.7%), Cefotaxime 44 (50.5%), Novobiocin 38 (43.6%), Tetracycline 32 (36.7%), Ciprofloxacin 22 (25.2%), Gentamicin 16 (18.3%), Nitrofurantoin 6 (10.3%) in Klebsiella pneumoniae isolates. The PCR procedure revealed that the occurrence of the acrA and acrB genes is 55 (100%) and 55 (100%), respectively. The findings of this investigation show that the AcrA and AcrB efflux pumps play a crucial character in antibiotic resistance in multidrug-resistant Klebsiella pneumoniae bacterial isolates. As a result of the unintentional transmission of antimicrobial resistance genes, precise detection of resistance genes using molecular approaches is required to switch the extent of resistant strains.

First Report of OXA-48 and IMP Genes Among Extended-Spectrum Beta-Lactamase-Producing Escherichia coli Isolates from Diarrheic Calves in Tunisia.

Antimicrobial resistance is one of the most serious threats to human and animal health. Evidence suggests that the overuse of antimicrobial agents in animal production has led to the emergence and dissemination of multidrug-resistant isolates. The objective of this study was to assess the rate of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli in calf feces and to characterize their resistance genes for antibiotics like beta-lactams and colistin, but also to determine their virulence genes. Fecal samples were collected from 100 diarrheic calves in the region of Bizerte, Tunisia. After isolation, E. coli isolates were screened for antimicrobial resistance against 21 antibiotics by the disc diffusion method. Characterization of β-lactamase genes and determination of associated resistance genes were performed by polymerase chain reaction. Among 71 E. coli isolates, 26 (36.6%) strains were ESBL-producing. Most of these isolates were multidrug-resistant (92.3%) and the most prevalent beta-lactamase genes detected were blaCTX-M (n = 26), blaSHV (n = 11), and blaTEM (n = 8), whereas only 1 isolate carried the blaCMY gene. In addition, resistance to carbapenems was detected in two isolates; one of them harbored both blaOXA-48 and blaIMP genes and the other isolate carried only the blaIMP gene. Several resistance genes were identified for the first time in Tunisia from cases of diarrheic calves. Furthermore, to the best of our knowledge, this is the first report of detection and identification of carbapenem resistance genes and virulence genes from calves in North Africa. A high occurrence of antimicrobial resistance of E. coli recovered from fecal samples of calves with diarrhea was observed, highlighting the need for prudent use of antimicrobial agents in veterinary medicine to decrease the incidence of multidrug-resistant bacteria for both animals and humans.

Molecular Characterizations of the Coagulase-Negative Staphylococci Species Causing Urinary Tract Infection in Tanzania: A Laboratory-Based Cross-Sectional Study

There is a growing body of evidence on the potential involvement of coagulase-negative Staphylococci (CoNS) in causing urinary tract infections (UTIs). The aim of this study was to delineate virulence potential, antimicrobial resistance genes, and sequence types of CoNS isolated from patients with UTI symptoms and pyuria in Tanzania. CoNS from patients with UTI symptoms and more than 125 leucocytes/μL were retrieved, subcultured, and whole-genome sequenced. Out of 65 CoNS isolates, 8 species of CoNS were identified; Staphylococcus haemolyticus, n = 27 (41.5%), and Staphylococcus epidermidis, n = 24 (36.9%), were predominant. The majority of S. haemolyticus were sequence type (ST) 30, with 8 new ST138-145 reported, while the majority of S. epidermidis were typed as ST490 with 7 new ST1184-1190 reported. Sixty isolates (92.3%) had either one or multiple antimicrobial resistance genes. The most frequently detected resistance genes were 53 (21%) dfrG, 32 (12.9%) blaZ, and 26 (10.5%) mecA genes conferring resistance to trimethoprim, penicillin, and methicillin, respectively. Out of 65 isolates, 59 (90.8%) had virulence genes associated with UTI, with a predominance of the icaC 47 (46.5%) and icaA 14 (13.9%) genes. Conclusion:S. haemolyticus and S. epidermidis harboring icaC, dfrG, blaZ, and mecA genes were the predominant CoNS causing UTI in Tanzania. Laboratories should carefully interpret the significant bacteriuria due to CoNS in relation to UTI symptoms and pyuria before labeling them as contaminants. Follow-up studies to document the outcome of the treated patients is needed to add more evidence that CoNS are UTI pathogens.

Quantitative PCR versus metagenomics for monitoring antibiotic resistance genes: balancing high sensitivity and broad coverage.

The widespread occurrence of clinically relevant antibiotic resistance within humans, animals, and environment motivates the development of sensitive and accurate detection and quantification methods. Metagenomics and quantitative PCR (qPCR) are amongst the most used approaches. In this study, we aimed to evaluate and compare the performance of these methods to screen antibiotic resistance genes in animal faecal, wastewater, and water samples. Water and wastewater samples were from hospital effluent, different treatment stages of two treatment plants, and of the receiving river at the discharge point. The animal samples were from pig and chicken faeces. Antibiotic resistance gene coverage, sensitivity, and usefulness of the quantitative information were analyzed and discussed. While both methods were able to distinguish the resistome profiles and detect gradient stepwise mixtures of pig and chicken faeces, qPCR presented higher sensitivity for the detection of a few antibiotic resistance genes in water/wastewater. In addition, the comparison of predicted and observed antibiotic resistance gene quantifications unveiled the higher accuracy of qPCR. Metagenomics analyses, while less sensitive, provided a markedly higher coverage of antibiotic resistance genes compared to qPCR. The complementarity of both methods and the importance of selecting the best method according to the study purpose are discussed.

Detection and Dissemination of MCR-1 Colistin Resistance Gene in a Hospital Setting in Abakaliki, Nigeria

Detection and Dissemination of MCR-1 Colistin Resistance Gene in a Hospital Setting in Abakaliki, Nigeria

Detection of Plasmid-Mediated Colistin Resistance Genes in Clinical Isolates of Klebsiella pneumoniae and Escherichia coli from Some Hospitals in Khartoum

Detection of Plasmid-Mediated Colistin Resistance Genes in Clinical Isolates of Klebsiella pneumoniae and Escherichia coli from Some Hospitals in Khartoum

Knockout of Targeted Plasmid-Borne β-Lactamase Genes in an Extended-Spectrum-β-Lactamase-Producing Escherichia coli Strain: Impact on Resistance and Proteomic Profile.

Resistance to β-lactams is known to be multifactorial, although the underlying mechanisms are not well established. The aim of our study was to develop a system for assessing the phenotypic and proteomic responses of bacteria to antibiotic stress as a result of the loss of selected antimicrobial resistance genes. We applied homologous recombination to knock out plasmid-borne β-lactamase genes (blaOXA-1, blaTEM-1, and blaCTX-M15) in Escherichia coli CCUG 73778, generating knockout clone variants lacking the respective deleted β-lactamases. Quantitative proteomic analyses were performed on the knockout variants and the wild-type strain, using bottom-up liquid chromatography tandem mass spectrometry (LC-MS/MS), after exposure to different concentrations of cefadroxil. Loss of the blaCTX-M-15 gene had the greatest impact on the resulting protein expression dynamics, while losses of blaOXA-1 and blaTEM-1 affected fewer proteins' expression levels. Proteins involved in antibiotic resistance, cell membrane integrity, stress, and gene expression and unknown function proteins exhibited differential expression. The present study provides a framework for studying protein expression in response to antibiotic exposure and identifying the genomic, proteomic, and phenotypic impacts of resistance gene loss. IMPORTANCE The critical situation regarding antibiotic resistance requires a more in-depth effort for understanding underlying mechanisms involved in antibiotic resistance, beyond just detecting resistance genes. The methodology presented in this work provides a framework for knocking out selected resistance factors, to study the adjustments of the bacterium in response to a particular antibiotic stress, elucidating the genetic response and proteins that are mobilized. The protocol uses MS-based determination of the proteins that are expressed in response to an antibiotic, enabling the selection of strong candidates representing putative resistance factors or mechanisms and providing a basis for future studies to understand their implications in antibiotic resistance. This allows us to better understand how the cell responds to the presence of the antibiotic when a specific gene is lost and, consequently, identify alternative targets for possible future treatment development.