WHO Reference Strains Research Articles

Assessing novel partner antimicrobials to protect ceftriaxone against gonococcal resistance: An in vitro evaluation.

The emergence of ceftriaxone-resistant Neisseria gonorrhoeae poses a significant threat to existing treatment regimens. Our study aimed to assess the efficacy of antimicrobials that could be combined with ceftriaxone to reduce the probability of ceftriaxone resistance emerging and spreading in N. gonorrhoeae. Broth microdilution was used to determine the minimal inhibitory concentrations (MICs) for a panel of ceftriaxone-resistant (WHO X, Y, Z) and ceftriaxone-susceptible (WHO L, N, P) N. gonorrhoeae WHO reference strains for the following antimicrobials: ceftriaxone, doxycycline, azithromycin, zoliflodacin, fosfomycin, pristinamycin, ramoplanin, gentamicin and NAI-107. The MICs for zoliflodacin and pristinamycin for all strains were lower than or equal to the available breakpoints. A checkerboard assay was used to determine the drug-drug combination effect, which showed either an indifferent or an additive effect for all the combinations tested with ceftriaxone. The low MICs of zoliflodacin and pristinamycin for the three ceftriaxone-resistant strains suggest that these antimicrobials could be used as partner drugs with ceftriaxone to reduce the probability of ceftriaxone resistance spreading in areas with a high prevalence of ceftriaxone resistance.

The novel 2024 WHO Neisseria gonorrhoeae reference strains for global quality assurance of laboratory investigations and superseded WHO N. gonorrhoeae reference strains-phenotypic, genetic and reference genome characterization.

MDR and XDR Neisseria gonorrhoeae strains remain major public health concerns internationally, and quality-assured global gonococcal antimicrobial resistance (AMR) surveillance is imperative. The WHO global Gonococcal Antimicrobial Surveillance Programme (GASP) and WHO Enhanced GASP (EGASP), including metadata and WGS, are expanding internationally. We present the phenotypic, genetic and reference genome characteristics of the 2024 WHO gonococcal reference strains (n = 15) for quality assurance worldwide. All superseded WHO gonococcal reference strains (n = 14) were identically characterized. The 2024 WHO reference strains include 11 of the 2016 WHO reference strains, which were further characterized, and four novel strains. The superseded WHO reference strains include 11 WHO reference strains previously unpublished. All strains were characterized phenotypically and genomically (single-molecule PacBio or Oxford Nanopore and Illumina sequencing). The 2024 WHO reference strains represent all available susceptible and resistant phenotypes and genotypes for antimicrobials currently and previously used (n = 22), or considered for future use (n = 3) in gonorrhoea treatment. The novel WHO strains include internationally spreading ceftriaxone resistance, ceftriaxone resistance due to new penA mutations, ceftriaxone plus high-level azithromycin resistance and azithromycin resistance due to mosaic MtrRCDE efflux pump. AMR, serogroup, prolyliminopeptidase, genetic AMR determinants, plasmid types, molecular epidemiological types and reference genome characteristics are presented for all strains. The 2024 WHO gonococcal reference strains are recommended for internal and external quality assurance in laboratory examinations, especially in the WHO GASP, EGASP and other GASPs, but also in phenotypic and molecular diagnostics, AMR prediction, pharmacodynamics, epidemiology, research and as complete reference genomes in WGS analysis.

Genomic surveillance and antimicrobial resistance determinants in Neisseria gonorrhoeae isolates from Uganda, Malawi and South Africa, 2015-20.

Global antimicrobial resistance (AMR) surveillance in Neisseria gonorrhoeae is essential. In 2017-18, only five (10.6%) countries in the WHO African Region reported to the WHO Global Gonococcal Antimicrobial Surveillance Programme (WHO GASP). Genomics enhances our understanding of gonococcal populations nationally and internationally, including AMR strain transmission; however, genomic studies from Africa are extremely scarce. We describe the gonococcal genomic lineages/sublineages, including AMR determinants, and baseline genomic diversity among strains in Uganda, Malawi and South Africa, 2015-20, and compare with sequences from Kenya and Burkina Faso. Gonococcal isolates cultured in Uganda (n = 433), Malawi (n = 154) and South Africa (n = 99) in 2015-20 were genome-sequenced. MICs were determined using ETEST. Sequences of isolates from Kenya (n = 159), Burkina Faso (n = 52) and the 2016 WHO reference strains (n = 14) were included in the analysis. Resistance to ciprofloxacin was high in all countries (57.1%-100%). All isolates were susceptible to ceftriaxone, cefixime and spectinomycin, and 99.9% were susceptible to azithromycin. AMR determinants for ciprofloxacin, benzylpenicillin and tetracycline were common, but rare for cephalosporins and azithromycin. Most isolates belonged to the more antimicrobial-susceptible lineage B (n = 780) compared with the AMR lineage A (n = 141), and limited geographical phylogenomic signal was observed. We report the first multi-country gonococcal genomic comparison from Africa, which will support the WHO GASP and WHO enhanced GASP (EGASP). The high prevalence of resistance to ciprofloxacin (and empirical use continues), tetracycline and benzylpenicillin, and the emerging resistance determinants for azithromycin show it is imperative to strengthen the gonococcal AMR surveillance, ideally including genomics, in African countries.

P21 A novel, fast, impedance-based antimicrobial susceptibility test for Neisseria gonorrhoeae

Abstract Objectives To demonstrate that the impedance-based fast antimicrobial susceptibility test (iFAST) can define N. gonorrhoeae susceptibility for a range of frontline antibiotics, and determine time taken to see responses. Background Gonorrhoea is the second most common bacterial sexually transmitted infection in the UK. It can cause complicated infection and infertility if not treated effectively. Resistance to frontline treatments and MDR N. gonorrhoeae infections (‘super gonorrhoea’) are increasing, fuelled by inappropriate selection of antibiotics. The current gold-standard antimicrobial susceptibility test (AST) for N. gonorrhoeae is MIC agar dilution, which is time-consuming (∼7 days) and labour-intensive. Unemo et al. 2020 (https://doi.org/10.1093/jac/dkw288) published detailed resistance profiles of WHO-reference N. gonorrhoeae strains. This project aimed to test whether these strain sensitivities against front line antibiotics ceftriaxone, ciprofloxacin and azithromycin could be defined faster using iFAST, which calculates the opacity and electrical size of individual cells by measuring change in electrical currents as single cells flow between micro-electrodes. Antibiotic-treated susceptible bacteria change electrical radius (surrogate measure of cell size) and opacity (based on properties of bacterial membranes as resistors), compared with untreated or resistant cells (Spencer et al. 2020, 10.1038/s41467-020-18902-x). Methods N. gonorrhoeae WHO-reference strains F and X were incubated overnight on standard chocolate agar plates at 37°C, 3%–5% CO2. 10 viable plate colonies were selected and inoculated in 37°C brain heart infusion media, supplemented with 0.42% sodium bicarbonate and 1% Isovitalex. After 30 min incubation at 37°C with shaking, the cell concentration was measured on iFAST and added to five concentrations of ceftriaxone, ciprofloxacin, and azithromycin (at the published agar MIC and ±2 × 2-fold concentration) or at EUCAST susceptibility breakpoint concentrations (strains F, X, O, V, K, Y), at a final cell concentration of 5 × 105 cells/mL. Cells were exposed at 37°C 250 rpm for 2, 3 and 4 h. 60 µL of 1:10 dilutions of sample were read on iFAST. MATLAB analysis software created contours around 50% of untreated cells and overlayed this on exposed population scattergrams. Results Electrical MICs (eMICs) showed differences in cell count, electrical radius and opacity between cells exposed to concentrations ≥MIC, subinhibitory concentrations, or untreated cells for all three frontline drugs. These differences were detectable after 2 h of antibiotic exposure but were clearest after 4 h. When tested at breakpoint concentrations only, iFAST accurately detected susceptibility of tested N. gonorrhoeae reference strains after 4 h exposure. Generally, susceptible cells had reduced electrical cell size and increased opacity distribution (out of contour shift) for all compounds, though there was variation due to differing modes of action. Ciprofloxacin and azithromycin had more decreased electrical cell radius with increased opacity spread. Comparatively, ceftriaxone had smaller changes in electrical radius and a larger spread of opacity readings. Conclusions iFAST is potentially a rapid and accurate method for determining N. gonorrhoeae strain susceptibility for ceftriaxone, ciprofloxacin, and azithromycin. With additional validation, it may be useful for future N. gonorrhoeae AST development, as well as investigating the effect of novel antimicrobial compounds.

Genomic surveillance and antimicrobial resistance in Neisseria gonorrhoeae isolates in Bangkok, Thailand in 2018.

Antimicrobial resistance (AMR) in Neisseria gonorrhoeae is a substantial global public health problem. Gonococcal infections acquired in or from Asia represent most verified ceftriaxone treatment failures, and several ceftriaxone-resistant strains have emerged in Asia and subsequently spread globally. Additionally, in Thailand the gonorrhoea incidence remains high. Herein, we investigate the genomic diversity, AMR and AMR determinants in gonococcal isolates cultured in 2018 in Bangkok, Thailand. Gonococcal isolates from males (n = 37) and females (n = 62) were examined by Etest and WGS. AMR determinants and molecular epidemiological STs were characterized. For phylogenomic comparison, raw sequence data were included from China (432 isolates), Japan (n = 270), Vietnam (n = 229), Thailand (n = 3), a global dataset (n = 12 440) and the 2016 WHO reference strains plus WHO Q (n = 15). In total, 88, 66 and 41 different NG-MAST, NG-STAR and MLST STs, respectively, and 31 different NG-STAR clonal complexes were found. A remarkably high frequency (88%) of β-lactamase TEM genes was detected and two novel TEM alleles were found. The phylogenomic analysis divided the isolates into the previously described lineages A and B, with a large proportion of Thai isolates belonging to the novel sublineage A3. We describe the first molecular epidemiological study using WGS on gonococcal isolates from Thailand. The high prevalence of AMR and AMR determinants for ciprofloxacin, tetracycline and benzylpenicillin, and some strains belonging to clones/clades especially in sublineage A2 that are prone to develop resistance to extended-spectrum cephalosporins (ESCs) and azithromycin, should prompt continued and strengthened AMR surveillance, including WGS, of N. gonorrhoeae in Thailand.

Prediction of ceftriaxone MIC inNeisseria gonorrhoeae usingDNA microarray technology and regression analysis

Decreased susceptibility of Neisseria gonorrhoeae to extended-spectrum cephalosporins is a major concern. Elucidation of the phenotypic and genetic characteristics of such isolates is a priority task. We developed a method for predicting the N. gonorrhoeae ceftriaxone susceptibility level (MICcro) by identifying genetic determinants of resistance using low-density hydrogel microarrays and a regression equation. A training dataset, containing 5631 isolates from the Pathogenwatch database and 181 isolates obtained in the Russian Federation during 2018-19, was used to build a regression model. The regression equation was tested on 14 WHO reference strains. Ceftriaxone resistance determinants for the 448 evaluated clinical isolates collected in Russia were identified using microarray analysis, and MICcro values were calculated using the regression equation and compared with those measured by the serial dilution method. The regression equation for calculating MICcro values included 20 chromosomal resistance determinants. The greatest contributions to the increase in MICcro were shown to be PBP2: Ala-501→Pro, Ala-311→Val, Gly-545→Ser substitutions, Asp(345-346) insertion; and PorB: Gly-120→Arg substitution. The substitutions PBP2: Ala-501→Thr/Val, PorB: Gly-120→Asn/Asp/Lys and PBP1: Leu-421→Pro had weaker effects. For 94.4% of the isolates in the evaluation set, the predicted MICcro was within one doubling dilution of the experimentally determined MICcro. No ceftriaxone-resistant isolates were identified in the analysed samples from Russia, and no interpretative errors were detected in the MICcro calculations. The developed strategy for predicting ceftriaxone MIC can be used for the continuous surveillance of known and emerging resistant N. gonorrhoeae isolates.

Surveillance and genetic characteristics of imported cases of measles virus of D8 genotype in Hebei province

Objective: To understand the epidemiological and genotypic characteristics of imported cases of measles virus of D8 genotype in Hebei province. Methods: Epidemiological investigation of measles cases in surveillance was carried out. The throat swabs of the measles cases in acute phase were collected for real time RT-PCR identification, measles virus culture and genotype identification. Results: A total of 36 imported measles cases of genotype D8 were detected. The cases were mainly distributed in 8 counties of Handan city. Number of confirmed measles cases in Cheng'an county was the highest, accounting for 58.33% (21/36) of all the reported cases. All patients had fever and rash, and 55.55% (20/36) of the cases were under 2 years old and 86.11% (31/36) of the cases had no immunization history. The children with pneumonia accounted for 44.12% (15/34) of the total children with D8 genotype measles virus infection. The nucleotide and amino acid homologies between the imported measles virus genotype D8 and the WHO reference strain of D8 genotype (D8-Manchester.UNK/30.94) were 98.4%-98.6% and 97.3%, respectively. Compared with the strains of H1 genotype in China, the nucleotide and amino acid homologies were 92.8%-93.1% and 93.3%, respectively. Conclusions: The imported cases of measles virus of D8 genotype might have caused local transmission in Hebei province. Molecular epidemiological surveillance for measles virus needs to be further strengthened. It is necessary to detect and control the epidemic early and improve the coverage rate and timely rate of measles vaccination. It is also important to prevent cross infection in hospitals.

Genetic diversity analysis of Chinese Leishmania isolates and development of L. donovani complex-specific markers by RAPD

BackgroundLeishmaniasis is one of the most neglected tropical diseases in the world and remains endemic in some underdeveloped regions, including western China. The phylogeny and classification of Chinese Leishmania has not been completely clarified to date, especially within the Leishmania (L.) donovani complex, although phylogenetic analyses based on a series of gene markers have been performed. More analytic methods and data are still needed. Random amplified polymorphic DNA (RAPD) technology can sensitively identify slight intraspecific differences, and it is a powerful tool to seek species-specific markers. This work attempted to identify Chinese Leishmania isolates from diverse geographic regions at the genomic level. Meanwhile, specific markers of the L. donovani complex were also developed by RAPD.MethodsRAPD was applied to 14 Chinese Leishmania isolates from diverse geographic regions and 3 WHO reference strains. The polymorphic sites of amplification were transformed into a data matrix, based on which genetic similarity was calculated, and a UPGMA dendrogram was constructed to analyse the genetic diversity of these Leishmania isolates. Meanwhile, the specific amplification loci of the L. donovani complex were TA-cloned, sequenced and converted into sequence characterized amplified region (SCAR) markers, which were validated preliminarily in 17 available Leishmania strains in this study and analysed by bioinformatics.ResultsThe cluster analyses showed that the three Leishmania sp. isolates SC10H2, SD and GL clustered together and apart from others, the strains of the L. donovani complex clearly divided into two clades, and the three isolates Cy, WenChuan and 801 formed a subclade. Three specific SCAR markers of the L. donovani complex, i.e., 1-AD17, 2-A816 and 3-O13, were successfully obtained and validated on 17 available Leishmania strains in this study. Through bioinformatic analyses, Marker 1-AD17 may have more specificity for PCR detection of VL, and Marker 3-O13 has the potential to encode a protein.ConclusionsThe RAPD results verified that the undescribed Leishmania species causing visceral leishmaniasis (VL) in China was a unique clade distinguished from L. donovani and revealed that there was genetic differentiation among Chinese L. donovani. The identification of L. donovani-specific markers may help to provide a foundation for future research attempting to develop new specific diagnostic markers of VL and identify specific gene functions.

Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance (NG-STAR) clonal complexes are consistent with genomic phylogeny and provide simple nomenclature, rapid visualization and antimicrobial resistance (AMR) lineage predictions.

Surveillance of antimicrobial resistance (AMR) in Neisseria gonorrhoeae, supported by molecular typing, ideally through genome sequencing, is imperative. We defined N. gonorrhoeae Sequence Typing for Antimicrobial Resistance (NG-STAR) clonal complexes (CCs) and validated their usefulness in gonococcal AMR surveillance. All NG-STAR alleles and STs available in the public database (https://ngstar.canada.ca/) were analysed using PHYLOViZ 2.0 to define CCs according to the closest founder ST with ≥5 identical alleles and founding ST with the highest number of links. The published 2013 European gonococcal dataset (n = 1054), the 2016 WHO reference strain panel (n = 14) and N. gonorrhoeae isolates with ceftriaxone resistance determinant penA-60.001 (n = 7) from several countries were used for validation. The majority of the isolates (n = 1063) were designated to 71 CCs. The most common CC was CC90 (n = 194), followed by CC63 (n = 166), CC139 (n = 73), CC158 (n = 73) and CC127 (n = 62). CC90 included isolates belonging to the internationally spread MDR clone N. gonorrhoeae Multi-Antigen Sequence Typing (NG-MAST) G1407 (predominantly MLST ST1901). The ceftriaxone-resistant isolates with penA-60.001 (n = 7) belonged to CC73 or STs linking between CC90 and CC73 (ST233 and ST1133). Phylogenomic analysis revealed that NG-STAR CCs more appropriately correlated to phylogenomic AMR clusters compared with MLST STs, NG-MAST STs, NG-MAST genogroups and NG-STAR STs. NG-STAR CCs: are consistent with the gonococcal genome phylogeny; allow rapid visualizations with limited computational requirements; provide a simple, reproducible and portable nomenclature (for WGS and conventional Sanger sequencing data); and predict AMR lineages. Phenotypic AMR surveillance, supplemented with WGS, is imperative and NG-STAR CCs can effectively support this.

Genomic epidemiology of Neisseria gonorrhoeae elucidating the gonococcal antimicrobial resistance and lineages/sublineages across Brazil, 2015-16.

Neisseria gonorrhoeae antimicrobial resistance (AMR) surveillance is imperative internationally, but only eight (22.9%) countries in the WHO Region of the Americas reported complete AMR data to the WHO Global Gonococcal Antimicrobial Surveillance Program (WHO GASP) in 2016. Genomic studies are ideal for enhanced understanding of gonococcal populations, including the spread of AMR strains. To elucidate the circulating gonococcal lineages/sublineages, including their AMR determinants, and the baseline genomic diversity among gonococcal strains in Brazil, we conducted WGS on 548 isolates obtained in 2015-16 across all five macroregions in Brazil. A total of 548 gonococcal isolates cultured across Brazil in 2015-16 were genome sequenced. AMR was determined using agar dilution and/or Etest. Genome sequences of isolates from Argentina (n = 158) and the 2016 WHO reference strains (n = 14) were included in the analysis. We found 302, 68 and 214 different NG-MAST, MLST and NG-STAR STs, respectively. The phylogenomic analysis identified one main antimicrobial-susceptible lineage and one AMR lineage, which was divided into two sublineages with different AMR profiles. Determination of NG-STAR networks of clonal complexes was shown as a new and valuable molecular epidemiological analysis. Several novel mosaic mtrD (and mtrR and mtrE) variants associated with azithromycin resistance were identified. We describe the first genomic baseline data to support the Brazilian GASP. The high prevalence of resistance to ciprofloxacin, tetracycline and benzylpenicillin, and the high number of isolates with mosaic penA and azithromycin resistance mutations, should prompt continued and strengthened AMR surveillance, including WGS, of N. gonorrhoeae in Brazil.

Can proteomics elucidate mechanisms of antimicrobial resistance in Neisseria gonorrhoeae that whole genome sequencing is unable to identify? An analysis of protein expression within the 2016 WHO N. gonorrhoeae reference strains

ObjectivesAntimicrobial resistance (AMR) in Neisseria gonorrhoeae is of increasing concern. This study established a quantitative, scalable proteomics method to examine the WHO panel of N. gonorrhoeae isolates with completed closed...

Comparison of gentamicin MICs by agar dilution and Etest for clinical isolates of Neisseria gonorrhoeae.

In South Africa, Neisseria gonorrhoeae (NG) is the predominant cause of male urethritis syndrome (MUS). The national MUS treatment guidelines recommend gentamicin as salvage therapy for ceftriaxone treatment failures. We ascertained and compared gentamicin MICs obtained by agar dilution and Etest for clinical isolates of NG. Gentamicin MICs for NG culture isolates obtained from 272 MUS cases in 2017 were determined using agar dilution, as per CLSI agar dilution methods, and Etest® (bioMérieux, Marcy-l'Étoile, France). Previously published interpretive criteria were used: MIC ≤4 mg/L, susceptible (S); MIC 8-16 mg/L, intermediately resistant (IR); and MIC ≥32 mg/L, resistant (R). WHO 2008 NG reference strains were used as comparison standards. Gentamicin agar dilution versus Etest MIC results (mg/L) were as follows: MIC50 = 16 versus 4; MIC90 = 16 versus 8; minimum MIC = 4 versus 1; and maximum MIC = 32 versus 16. Interpretive categories for agar dilution versus Etest were as follows: S, 4.4% versus 86.8%; IR, 86.0% versus 13.4%; and R, 9.6% versus 0%. The gentamicin MIC50 by agar dilution was significantly higher than by Etest (sign test P value <0.001); overall MIC agreement was 7.4% [kappa statistic (κ) = -0.014 (95% CI -0.039 to 0.010)]. Correlation with expected MICs for WHO reference strains was consistently better with Etest than with agar dilution. There was a significant discordance between NG gentamicin MICs by agar dilution versus Etest. NG gentamicin AST methodology must be standardized and interpretive criteria established to optimize the monitoring of susceptibility trends.

Whole-genome sequence analysis of the 24th genotype D11 of measles virus.

We previously reported genotype D11 strains of measles virus that were first isolated from a measles outbreak associated with imported cases in Yunnan province of China by Zhang et al. (Emerg Infect Dis 16(6):943-7, 2010). Genotype D11 has been identified as the 24th genotype of the WHO reference strains. In this study, we sequenced the whole genome of a D11 strain. Phylogenetic analysis using the complete genome sequences of D11 and other reference strains showed that the D11 strain formed a distinct branch that was distant from the other genotypes and was most closely related to the reference strain D7. The M-F non-coding region (NCR) and the N450 coding region sequence (CDS) were found to be the most variable regions. This report provides basic genetic data on genotype D11 for further study of measles evolution and the support for measles elimination.

The first wide-scale drug repurposing screen using the Prestwick Chemical Library (1200 bioactive molecules) against Neisseria gonorrhoeae identifies high in vitro activity of auranofin and many additional drugs.

Treatment options for gonorrhoea are scarce. Drug repurposing of bioactive molecules approved for other conditions might therefore be of value. We developed a method for wide-scale, systematic drug repurposing screen to identify molecules with activity against Neisseria gonorrhoeae and screened the Prestwick Chemical Library (1200 FDA-approved drugs). As a proof-of-concept, we further examined one promising and interesting screening hit (auranofin; antirheumatic agent). Three WHO gonococcal reference strains (WHO F, O, P) were used for the Library screening. The strains were grown in presence of a fixed concentration of the library drugs in 384-well plates for 12h, and the remaining bacterial respiration, to reflect growth, was then quantitatively measured using optical density (OD) 450nm and a resazurin assay. The activity of auranofin was further examined using in vitro susceptibility testing (minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC)) against genetically diverse antimicrobial-resistant N.gonorrhoeae strains and time-kill assays. Sixty-eight molecules significantly inhibited bacterial growth of WHO F, O and P. Auranofin showed potent in vitro bactericidal activity (in MIC-, MBC- and time-kill assays) against four WHO reference strains. No cross-resistance between auranofin and any antimicrobial currently or previously used for gonorrhoea treatment was found when examining 51 selected antimicrobial-resistant gonococcal strains. In conclusion, this is the first wide-scale systematic screening effort for repurposing drugs for future treatment of gonorrhoea. Additional studies examining mechanism(s) of action, resistance development, in vivo anti-gonococcal activity and pharmacokinetics/pharmacodynamics for gonococcal infections of auranofin and several other significant screening hits would be valuable.

Reference genome and comparative genome analysis for the WHO reference strain for Mycobacterium bovis BCG Danish, the present tuberculosis vaccine

BackgroundMycobacterium bovis bacillus Calmette-Guérin (M. bovis BCG) is the only vaccine available against tuberculosis (TB). In an effort to standardize the vaccine production, three substrains, i.e. BCG Danish 1331, Tokyo 172–1 and Russia BCG-1 were established as the WHO reference strains. Both for BCG Tokyo 172–1 as Russia BCG-1, reference genomes exist, not for BCG Danish. In this study, we set out to determine the completely assembled genome sequence for BCG Danish and to establish a workflow for genome characterization of engineering-derived vaccine candidate strains.ResultsBy combining second (Illumina) and third (PacBio) generation sequencing in an integrated genome analysis workflow for BCG, we could construct the completely assembled genome sequence of BCG Danish 1331 (07/270) (and an engineered derivative that is studied as an improved vaccine candidate, a SapM KO), including the resolution of the analytically challenging long duplication regions. We report the presence of a DU1-like duplication in BCG Danish 1331, while this tandem duplication was previously thought to be exclusively restricted to BCG Pasteur. Furthermore, comparative genome analyses of publicly available data for BCG substrains showed the absence of a DU1 in certain BCG Pasteur substrains and the presence of a DU1-like duplication in some BCG China substrains. By integrating publicly available data, we provide an update to the genome features of the commonly used BCG strains.ConclusionsWe demonstrate how this analysis workflow enables the resolution of genome duplications and of the genome of engineered derivatives of the BCG Danish vaccine strain. The BCG Danish WHO reference genome will serve as a reference for future engineered strains and the established workflow can be used to enhance BCG vaccine standardization.

Discovery of Leptospira spp. seroreactive peptides using ORFeome phage display.

BackgroundLeptospirosis is the most common zoonotic disease worldwide. The diagnostic performance of a serological test for human leptospirosis is mainly influenced by the antigen used in the test assay. An ideal serological test should cover all serovars of pathogenic leptospires with high sensitivity and specificity and use reagents that are relatively inexpensive to produce and can be used in tropical climates. Peptide-based tests fulfil at least the latter two requirements, and ORFeome phage display has been successfully used to identify immunogenic peptides from other pathogens.Methodology/Principal findingsTwo ORFeome phage display libraries of the entire Leptospira spp. genomes from five local strains isolated in Malaysia and seven WHO reference strains were constructed. Subsequently, 18 unique Leptospira peptides were identified in a screen using a pool of sera from patients with acute leptospirosis. Five of these were validated by titration ELISA using different pools of patient or control sera. The diagnostic performance of these five peptides was then assessed against 16 individual sera from patients with acute leptospirosis and 16 healthy donors and was compared to that of two recombinant reference proteins from L. interrogans. This analysis revealed two peptides (SIR16-D1 and SIR16-H1) from the local isolates with good accuracy for the detection of acute leptospirosis (area under the ROC curve: 0.86 and 0.78, respectively; sensitivity: 0.88 and 0.94; specificity: 0.81 and 0.69), which was close to that of the reference proteins LipL32 and Loa22 (area under the ROC curve: 0.91 and 0.80; sensitivity: 0.94 and 0.81; specificity: 0.75 and 0.75).Conclusions/SignificanceThis analysis lends further support for using ORFeome phage display to identify pathogen-associated immunogenic peptides, and it suggests that this technique holds promise for the development of peptide-based diagnostics for leptospirosis and, possibly, of vaccines against this pathogen.

Differential Metabolic Pathway Analysis of the Proteomes of Leishmania donovani and Leptomonas seymouri

Although in trypanosomatids, monoxeny (Leptomonas) is ancestral to dixeny (Leishmania), however clinical cases of visceral leishmanisis with Leptomonas co-infection are increasingly being reported from India. Using a proteogenomic approach, a detailed proteome analysis of these two kinetoplastid parasites viz., Leishmania and its sister Leptomonas, to catalog the key proteins associated with and therefore possibly responsible for phenotype changes in Leptomonas evolution and domestication as co-infection with Leishmania is carried out. LC-MS/MS is utilized for this proteomic purpose. One Leishmania donovani WHO reference strain and two Leptomonas seymouri isolates, which are originally isolated from clinical cases of kala azar patients with different inherent drug sensitivity viz., responsive and unresponsive, are used in this study. A network analysis, leveraging protein-protein interaction data helped to find the roles of the proteins in carbon metabolism and biosynthesis of secondary metabolites which is seen to be altered under stress conditions like drug resistance. The information provided about the metabolic pathways modulated when contrasting these two phenotypes may lead to the development of new strategies to block parasite differentiation within the host and to also circumvent the problem of drug resistance. This proteomic study also offers new grounds for the investigation of novel hypothetical proteins potentially playing a role in evolutionary biology the knowledge of which is essential for treatment of patients co-infected with these two kinetoplastid parasites.

Functional and structural studies on the Neisseria gonorrhoeae GmhA, the first enzyme in the glycero-manno-heptose biosynthesis pathways, demonstrate a critical role in lipooligosaccharide synthesis and gonococcal viability.

Sedoheptulose‐7‐phosphate isomerase, GmhA, is the first enzyme in the biosynthesis of nucleotide‐activated‐glycero‐manno‐heptoses and an attractive, yet underexploited, target for development of broad‐spectrum antibiotics. We demonstrated that GmhA homologs in Neisseria gonorrhoeae and N. meningitidis (hereafter called GmhAGC and GmhANM, respectively) were interchangeable proteins essential for lipooligosaccharide (LOS) synthesis, and their depletion had adverse effects on neisserial viability. In contrast, the Escherichia coli ortholog failed to complement GmhAGC depletion. Furthermore, we showed that GmhAGC is a cytoplasmic enzyme with induced expression at mid‐logarithmic phase, upon iron deprivation and anaerobiosis, and conserved in contemporary gonococcal clinical isolates including the 2016 WHO reference strains. The untagged GmhAGC crystallized as a tetramer in the closed conformation with four zinc ions in the active site, supporting that this is most likely the catalytically active conformation of the enzyme. Finally, site‐directed mutagenesis studies showed that the active site residues E65 and H183 were important for LOS synthesis but not for GmhAGC function in bacterial viability. Our studies bring insights into the importance and mechanism of action of GmhA and may ultimately facilitate targeting the enzyme with small molecule inhibitors.

Genetic characteristics of measles virus strains causing two outbreaks in Guizhou province

Objective To analyze the genetic characteristics of measles virus strains causing two outbreaks in Guizhou province from November 2014 to March 2015. Methods Throat swab samples collected from measles cases in two outbreaks were inoculated into Vero/SLAM cells. Viral RNAs were extracted from positive cultures. Nucleoprotein genes were amplified by using reverse transcription-polymerase chain reaction (RT-PCR) and the PCR products were sequenced and analyzed. Results Eleven strains of wild-type measles virus were isolated from the two measles outbreaks and all of them belonged to H1a sub-genotype. Phylogenetic analysis showed that those strains were clustered into two distinct branches. Differences in nucleotide and amino acid genetic distances between the 11 strains of measles virus and the WHO reference strain of H1a sub-genotype (Chin9322) were 1.1%-1.6% and 0.7%-3.4%, respectively. Compared with the reference strain Chin9322 and Guizhou epidemic strains in recent years, six strains showed amino acid sequence mutations in 47 (G to S), 82 (S to G) and 122 (R to K) sites and two strains had a mutation in 98 (P-L) site. Conclusion H1a sub-genotype measles virus was the predominant pathogen causing two measles outbreaks in Guizhou province during 2014 to 2015. Moreover, it was also a predominant sub-genotype circulating in China and Guizhou province. Different measles virus strains of H1a sub-genotype continued to be prevalent in Guizhou province. This study provided some scientific data for the control and elimination of measles in Guizhou province. Key words: Measles virus; Outbreak; Genotype; Sequence analysis

Antimicrobial resistance and Neisseria gonorrhoeae multiantigen sequence typing (NG-MAST) genotypes in N. gonorrhoeae during 2012–2014 in Karachi, Pakistan

BackgroundGlobally, increasing antimicrobial resistance (AMR) in Neisseria gonorrhoea has led to decreased treatment options for gonorrhoea. Continuous monitoring of resistance is crucial to determine evolving resistance trends in Neisseria gonorrhoea and to suggest treatment recommendations. Quality assured gonococcal AMR data from Pakistan are mainly lacking. This study was performed to determine prevalence and trends of gonococcal AMR and molecular epidemiology of local strains during 2012–2014 in Karachi, Pakistan.MethodsGonococcal isolates (n = 100) were obtained from urogenital specimens submitted to the Aga Khan University Laboratory, Karachi, Pakistan. Antimicrobial susceptibility was determined using Etest and molecular epidemiology was assessed by N. gonorrhoeae multiantigen sequence typing (NG-MAST). Quality control was performed using N. gonorrhoeae WHO reference strains C, F, G, K, L, M, N, O, and P, and ATCC 49226.ResultsSusceptibility to spectinomycin, ceftriaxone and cefixime was 100 % and to azithromycin was 99 %. All isolates had low ceftriaxone MICs, i.e., ≤0.032 mg/L. Resistance to ciprofloxacin, tetracycline and penicillin G were 86 %, 51 % and 43 %, respectively. NG-MAST analysis identified 74 different sequence types (STs).ConclusionsA highly diversified gonococcal population, 74 NG-MAST STs (62 novel STs) with an increased resistance to penicillin G, ciprofloxacin and tetracycline circulated in Karachi, Pakistan. Fortunately, no resistance to ceftriaxone was detected. Accordingly, ceftriaxone can continuously be recommended as the treatment of choice. However it is recommended to increase the dose of ceftriaxone from 125 mg intramuscularly to 250 mg intramuscularly due to ceftriaxone MIC creep and emerging resistance reported in the region. Furthermore, due to the high level of resistance to ciprofloxacin (86 %) it is essential to exclude ciprofloxacin from the recommended first-line therapy. It is imperative to significantly broaden the gonococcal AMR monitoring with participation from other laboratories and cities in Pakistan.Electronic supplementary materialThe online version of this article (doi:10.1186/s12879-016-1673-1) contains supplementary material, which is available to authorized users.