Biology subjects

Mortimer, T. D.

Publications and source records attributed to Mortimer, T. D..

16 recordsLinked to original sources

bioRxiv2026

Consensus substrate recognition of conserved bacterial virulence peptide-bond recombinase

Shigella OspB, a conserved type 3 effector, is a cysteine protease and peptide recombinase. Developing a protease activity-based screen, we defined and validated an OspB consensus substrate recognition motif. We found that the P1 position is aspartic acid, although cysteine is tolerated, and the P6 position an uncharged nonpolar hydrophobic residue. We demonstrate their predicted proximity to OspB active site residues within a binding groove. These findings will facilitate identification of physiological substrates of OspB and its homologs.

microbiology↗

bioRxiv2026

Aerocavin is an antibiotic with potent and specific anti-Neisserial activity

Gonorrhea, caused by N. gonorrhoeae, is a widespread sexually transmitted disease that is becoming resistant to all currently used antibiotics. Therefore, new therapeutics against gonorrhea are desperately needed. Here, we show that a natural product - aerocavin, is highly potent and specific against Neisseria. Aerocavin accumulates in N. gonorrhoeae at high levels and inhibits bacterial RNA polymerase (RNAP) by binding the switch region. Aerocavin resistance mutations evolve in N. gonorrhoeae at a low rate and are absent in clinical isolates. Previously overlooked narrow-spectrum antimicrobials like aerocavin may enable microbiome-sparing treatments of gonorrhea.

microbiology↗

bioRxiv2026

Diversity and evolution of a phase-variable multi-locus antigen in Neisseria gonorrhoeae

Neisseria gonorrhoeae is a sexually transmitted bacterial pathogen that deploys multiple mechanisms to evade the immune system, including rapid variation in surface antigens. One of the most abundant and diverse antigens is the Opacity (Opa) protein, a surface protein that mediates gonococcal attachment to host receptors. Studies of Opa diversity and evolution have been limited by the inability of short-read sequencing to resolve the multiple copies of opa in each genome, preventing a comprehensive understanding of antigenic variation for vaccine design and immunology studies. We assembled a dataset of 219 complete genomes from diverse clinical isolates using long-read sequencing and developed bioinformatics and phylogenetics tools to assess opa variation quantitatively. Each genome had on average 7 distinct opa alleles at 9 to 12 opa loci, and almost all isolates had at least one pair of identical or near-identical opa genes. Fewer opa genes were in frame, and thus inferred to be expressed, than expected due to chance. While genomic distance between isolates correlated with overall opa allele sequence similarity, opa genes were on average 74 times more diverse than the rest of the genome. One opa locus evolved more rapidly than the other loci. There was little evidence that interspecies recombination contributed to N. gonorrhoeae opa diversity. Our findings reveal a continuously evolving opa repertoire that leads to diverse opa alleles even in closely related strains and indicate that there are likely unknown biological factors modulating opa expression. Author SummaryThe rising levels of antibiotic resistance in Neisseria gonorrhoeae make controlling the spread of this sexually transmitted pathogen a public health priority. N. gonorrhoeae rapidly varies surface proteins to evade recognition by the human adaptive immune system. Understanding how these proteins evolve may help us design better vaccines and control measures for curbing the spread of gonorrhea. One of the most abundant surface proteins is the Opacity protein (Opa), which helps N. gonorrhoeae bind to host cells upon colonization. Research efforts to understand the evolution of Opa have been limited because it is encoded by multiple genes in the genome that are not resolved by short-read sequencing technologies. Here, we resolved the genes that encode Opa using a dataset of 132 publicly available complete genomes and 87 genomes that we completed using long-read sequencing of diverse clinical isolates. We found that Opa evolves rapidly to generate different versions of the protein in the same isolate, but very few of these protein versions appear expressed. We also found evidence that there may be other, uncharacterized mechanisms that control how these proteins evolve over longer timescales.

evolutionary biology↗

bioRxiv2025

The role of the L421P mutation in Penicillin-Binding Protein 1 (PBP1) in the evolution of chromosomally mediated penicillin resistance in Neisseria gonorrhoeae

ponAL421P encodes a mutated variant of penicillin-binding protein 1 (PBP1) and is a key resistance determinant that increases the penicillin MIC (MICPEN) above the clinical breakpoint in Neisseria gonorrhoeae. Despite the removal of penicillin from treatment guidelines for gonococcal infections in the 1980s, ponAL421P is present in nearly 50% of current N. gonorrhoeae isolates in the PubMLST database. Bioinformatic analysis indicates that ponAL421P is exclusive to N. gonorrhoeae isolates, whereas Leu-421 is 100% conserved in other Neisseria species. To understand the involvement of ponAL421P in antibiotic resistance, we introduced ponA variants encoding 16 different amino acids at position-421 into FA6140, a penicillin-resistant gonococcal isolate that naturally harbors ponAL421P. Proline-421 was the only mutation that increased the MICPEN to the same level as FA6140. We also assessed the fitness of strains with the 16 mutant ponA alleles over multiple serial passages, both with and without sub-MIC levels of penicillin. There was no fitness defect attributed to ponAL421P under these experimental conditions; instead, our analyses suggest that the widespread occurrence of ponAL421P is driven by its capacity to increase the MICpen above the clinical breakpoint. In FA6140 transformed with the mosaic penA allele from strain H041, a ceftriaxone-resistant isolate, ponAL421P increased the MIC of ceftriaxone, suggesting that ceftriaxone targets PBP1 in this strain. We conclude that the ponAL421P allele emerged in gonococcal isolates, increasing the MICPEN above the clinical breakpoint, and has remained in the population even after the removal of penicillin from treatment guidelines. ImportanceThe emergence of antibiotic-resistant Neisseria gonorrhoeae threatens effective treatment of gonorrhea, one of the most common sexually transmitted infections worldwide. Understanding the genetic changes that drive and maintain resistance is crucial for anticipating future resistance trends. Here, we investigated the impact of a key resistance mutation in PBP1 (encoded by ponAL421P). Although penicillin has not been used to treat gonorrhea for decades, this mutation remains widespread even in recent N. gonorrhoeae isolates. ponAL421P confers clinically relevant penicillin resistance without imposing an in vitro fitness cost. ponAL421P also increases resistance to ceftriaxone in strains with penA alleles that are associated with ceftriaxone resistance. This work highlights the role of the ponAL421P allele in shaping the current antibiotic resistance landscape and supports the need for ongoing surveillance and evolutionary studies of such mutations in the gonococcal population.

microbiology↗

bioRxiv2025

Quantifying the impact of genetic determinants of antibiotic resistance on bacterial lineage dynamics

The dynamics of antimicrobial resistance in bacterial populations are informed by the fitness impact of genetic determinants of resistance and antibiotic pressure. However, estimates of real-world fitness impact have been lacking. To address this gap, we developed a hierarchical Bayesian phylodynamic model to quantify contributions of resistance determinants to strain success in a 20-year collection of Neisseria gonorrhoeae isolates. Fitness contributions varied with antibiotic use, and genetic pathways to phenotypically identical resistance conferred distinct fitness effects. These findings were supported by in vitro and experimental infection competition. Quantifying these fitness contributions to lineage dynamics reveals opportunities for investigation into other genetic and environmental drivers of fitness. This work thus establishes a method for linking pathogen genomics and antibiotic use to define factors shaping ecological trends.

microbiology↗

bioRxiv2022

Neisseria gonorrhoeae diagnostic escape from a gyrA-based test for ciprofloxacin susceptibility can lead to increased zoliflodacin resistance

The etiologic agent of gonorrhea, Neisseria gonorrhoeae, has become resistant to each of the first line antibiotics used to treat it. However, most isolates in the US remain susceptible to ciprofloxacin, leading to the hypothesis that a diagnostic that accurately reports susceptibility to ciprofloxacin may allow its reintroduction into clinical use. One diagnostic approach is to identify codon 91 in gyrA, where coding for the wildtype serine is associated with ciprofloxacin susceptibility and phenylalanine with resistance. Here, we found that escape from this diagnostic method can occur through gyrA F91S reversion and expansion of pre-existing ciprofloxacin non-susceptible N. gonorrhoeae lineages with gyrA 91S. Furthermore, we found that mutations conferring ciprofloxacin resistance in gyrA 91S isolates led to cross-resistance with zoliflodacin, an antibiotic in phase 3 trial for treatment of gonorrhea. These findings define N. gonorrhoeae mutations that should be monitored via surveillance systems, particularly in populations and regions deploying gyrA 91-based diagnostics, and demonstrate how diagnostics that guide antibiotic therapy can have unintended consequences.

microbiology↗

bioRxiv2021

Genome wide association studies define minimal set of loci for prediction of penicillin and tetracycline susceptibility in Neisseria gonorrhoeae

BackgroundWhile Neisseria gonorrhoeae poses an urgent public health threat because of increasing antimicrobial resistance, much of the circulating population remains susceptible to historical treatment regimens. Point-of-care diagnostics that report susceptibility could allow for reintroduction of these regimens, but development of such diagnostics has been limited to ciprofloxacin, for which susceptibility can be predicted from a single locus. MethodsWe assembled a dataset of 12,045 N. gonorrhoeae genomes with phenotypic resistance data for tetracycline (n = 3,611) and penicillin (n = 6,935). Using conditional genome wide association studies (GWAS), we sought to define genetic variants associated with susceptibility to penicillin and tetracycline. We evaluated the sensitivity and specificity of these variants for predicting susceptibility and non-resistance in our collection of gonococcal genomes. FindingsIn our conditional penicillin GWAS, the presence of a genetic variant defined by a non-mosaic penA allele without an insertion at codon 345 was significantly associated with penicillin susceptibility and had the highest negative effect size of significant variants (p = 5.0 x 10-14, {beta} = -2.5). In combination with the absence of blaTEM, this variant predicted penicillin susceptibility with high specificity (99.8%) and modest sensitivity (36.7%). For tetracycline, the wild type allele at rpsJ codon 57, encoding valine, was significantly associated with tetracycline susceptibility (p = 5.6 x 10-16, {beta} = -1.6) after conditioning on the presence of tetM. The combination of rpsJ codon 57 allele and tetM absence predicted tetracycline susceptibility with high specificity (97.2%) and sensitivity (88.7%). InterpretationAs few as two genetic loci can predict susceptibility to penicillin and tetracycline in N. gonorrhoeae with high specificity. Molecular point-of-care diagnostics targeting these loci have the potential to increase available treatments for gonorrhea. FundingNational Institute of Allergy and Infectious Diseases, the National Science Foundation, and the Smith Family Foundation Research in ContextO_ST_ABSEvidence before this studyC_ST_ABSWe searched PubMed with the terms "Neisseria gonorrhoeae" and "diagnostic" or "assay" plus "penicillin" or "tetracycline" for reports in any language published up to July 1, 2021. We additionally searched for "Neisseria gonorrhoeae" and "genome wide association study". We found that previously proposed molecular diagnostics for penicillin and tetracycline susceptibility either exclusively focused on plasmid-mediated resistance (i.e., targeting blaTEM or tetM) or did not include variants in genes encoding antibiotic targets (e.g., did not include penA or rpsJ). Targets for molecular surveillance have focused on resistance-associated alleles rather than susceptibility-associated alleles. We did not find any previous penicillin or tetracycline conditional genome wide association studies (GWAS) in N. gonorrhoeae. Added value of this studyTo identify targets for molecular diagnostics that predict penicillin and tetracycline susceptibility, we conducted GWAS conditioning on the presence of plasmid-mediated resistance determinants to detect chromosomal loci with the highest association with susceptibility. We discovered a sequence (penA_01) that differentiates susceptible isolates from those with a resistance-associated insertion at codon 345 and from those with mosaic penA alleles, which is associated with penicillin susceptibility. We also found that rpsJ codon 57 was the chromosomal locus contributing the most to tetracycline susceptibility. The combination of these chromosomal loci and the absence of plasmid encoded determinants predicts penicillin and tetracycline susceptibility with high specificity in both a large global collection of N. gonorrhoeae and a validation dataset consisting of recently published genomes from CDCs Gonococcal Isolate Surveillance Program (GISP) surveillance collected in 2018. Implications of all the available evidenceThe chromosomal loci penA_01 and rpsJ codon 57 in combination with plasmid loci blaTEM and tetM are candidates for the development of point-of-care molecular diagnostics for penicillin and tetracycline susceptibility. The loci may be combined with the currently available ciprofloxacin susceptibility diagnostics to predict susceptibility to multiple antibiotics. Additionally, our study suggests that conditional GWAS focused on variants associated with susceptibility may be a promising approach to identify minimal sets of loci for molecular diagnostics and surveillance.

microbiology↗

bioRxiv2021

Rapid adaptation of a complex trait during experimental evolution of Mycobacterium tuberculosis

Tuberculosis (TB), caused by Mycobacterium tuberculosis (M. tb), is a leading cause of death due to infectious disease. TB is not traditionally associated with biofilms, but M. tb biofilms are linked with drug and immune tolerance and there is increasing recognition of their contribution to the recalcitrance of TB infections. Here we used M. tb experimental evolution to investigate this complex phenotype and identify candidate loci controlling biofilm formation. We identified novel candidate loci, adding to our understanding of the genetic architecture underlying M. tb biofilm development. Under selective pressure to grow as a biofilm, regulatory mutations rapidly swept to fixation and were associated with changes in multiple traits including extracellular matrix production, cell size, and growth rate. Genetic and phenotypic paths to enhanced biofilm growth varied according to the genetic background of the parent strain, suggesting that epistatic interactions are important in M. tb adaptation to changing environments.

microbiology↗

bioRxiv2020

Emergence and evolution of antimicrobial resistance genes and mutations in Neisseria gonorrhoeae

Antimicrobial resistance in Neisseria gonorrhoeae is a global health concern. Strains from two internationally circulating sequence types, ST-7363 and ST-1901, have acquired resistance to treatment with third-generation cephalosporins mainly due to the emergence of mosaic penA alleles. These two STs were first detected in Japan; however, when and how the mosaic penA alleles emerged and spread to other countries remains unknown. Here, we addressed the evolution of penA alleles by obtaining complete genomes from three Japanese ST-1901 clinical isolates harboring mosaic penA allele 34 (penA-34) dating from 2005 and generating a phylogenetic representation of 1,075 strains sampled from 37 countries. We also sequenced the genomes of 103 Japanese ST-7363 N. gonorrhoeae isolates from 1996-2005 and reconstructed a phylogeny including 88 previously sequenced genomes. Based on an estimate of the time of emergence of ST-1901 harboring mosaic penA-34 and ST-7363 harboring mosaic penA-10, and >300 additional genome sequences of Japanese strains representing multiple STs isolated in 1996-2015, we suggest that penA-34 in ST-1901 was generated from penA-10 via recombination with another Neisseria species, followed by a second recombination event with a gonococcal strain harboring wildtype penA-1. Following the acquisition of penA-10 in ST-7363, a dominant sub-lineage rapidly acquired fluoroquinolone resistance mutations at GyrA 95 and ParC 87-88, possibly due to independent mutations rather than horizontal gene transfer. Literature data suggest the emergence of these resistance determinants may reflect selection from the standard treatment regimens in Japan at that time. Our findings highlight how recombination and antibiotic use across and within Neisseria species intersect in driving the emergence and spread of drug-resistant gonorrhea. Author summaryAntimicrobial resistance is recognized as one of the greatest threats to human health, and Neisseria gonorrhoeae resistance is classified as one of the most urgent. The two major internationally spreading lineages resistant. to first line drugs likely originated in Japan, but when and how their genetic resistance determinants emerged remain unknown. In this study, we conducted an evolutionary analysis using clinical N. gonorrhoeae isolates from 37 countries, including a historical collection of Japanese isolates, to investigate the emergence of resistance in each of the two major lineages. We showed that the penA allele responsible for resistance to cephalosporins, the first-line treatment for gonorrhea, was possibly generated by two recombination events, one from another Neisseria species and one from another N. gonorrhoeae lineage. We also showed that mutations responsible for resistance to a previously widely used antibiotic treatment occurred twice independently in one of the two major lineages. The emergence of the genetic resistance determinants potentially reflects selection from the standard treatment regimen at that time. Our findings highlight how recombination (horizontal gene transfer) and antibiotic use across and within a bacterial species intersect in driving the emergence and spread of antimicrobial resistance genes and mutations.

microbiology↗

bioRxiv2020

A community-driven resource for genomic surveillance of Neisseria gonorrhoeae at Pathogenwatch

BackgroundAntimicrobial resistant (AMR) Neisseria gonorrhoeae is an urgent threat to public health, as strains resistant to at least one of the two last line antibiotics used in empiric therapy of gonorrhoea, ceftriaxone and azithromycin, have spread internationally. Whole genome sequencing (WGS) data can be used to identify new AMR clones, transmission networks and inform the development of point-of-care tests for antimicrobial susceptibility, novel antimicrobials and vaccines. Community driven tools that provide an easy access to and analysis of genomic and epidemiological data is the way forward for public health surveillance. MethodsHere we present a public health focussed scheme for genomic epidemiology of N. gonorrhoeae at Pathogenwatch (https://pathogen.watch/ngonorrhoeae). An international advisory group of experts in epidemiology, public health, genetics and genomics of N. gonorrhoeae was convened to inform on the utility of current and future analytics in the platform. We implement backwards compatibility with MLST, NG-MAST and NG-STAR typing schemes as well as an exhaustive library of genetic AMR determinants linked to a genotypic prediction of resistance to eight antibiotics. A collection of over 12,000 N. gonorrhoeae genome sequences from public archives has been quality-checked, assembled and made public together with available metadata for contextualization. ResultsAMR prediction from genome data revealed specificity values over 99% for azithromycin, ciprofloxacin and ceftriaxone and sensitivity values around 99% for benzylpenicillin and tetracycline. A case study using the Pathogenwatch collection of N. gonorrhoeae public genomes showed the global expansion of an azithromycin resistant lineage carrying a mosaic mtr over at least the last 10 years, emphasizing the power of Pathogenwatch to explore and evaluate genomic epidemiology questions of public health concern. ConclusionsThe N. gonorrhoeae scheme in Pathogenwatch provides customized bioinformatic pipelines guided by expert opinion that can be adapted to public health agencies and departments with little expertise in bioinformatics and lower resourced settings with internet connection but limited computational infrastructure. The advisory group will assess and identify ongoing public health needs in the field of gonorrhoea, particularly regarding gonococcal AMR, in order to further enhance utility with modified or new analytic methods.

genomics↗

bioRxiv2020

Efflux pump antibiotic binding site mutations are associated with azithromycin nonsusceptibility in clinical Neisseria gonorrhoeae isolates

Lyu and Moseng et al. used cryo-electron microscopy to characterize key residues involved in drug binding by mosaic-like MtrD efflux pump alleles in Neisseria gonorrhoeae (1). Isogenic experiments introducing key MtrD substitutions R714G and K823E increased macrolide MICs, leading the authors to predict that non-mosaic MtrD "gonococcal strains bearing both the mtrR promoter and amino acid changes at MtrD positions 714 or 823 could lead to clinically significant levels of Azi nonsusceptibility resistance". We tested this hypothesis by analyzing a global meta-analysis collection of 4852 N. gonorrhoeae genomes (2). In support of their prediction, we identified clinical isolates with novel non-mosaic MtrD drug binding site substitutions across multiple genetic backgrounds associated with elevated azithromycin MICs (Table).

microbiology↗

bioRxiv2020

Increased power from bacterial genome-wide association conditional on known effects identifies Neisseria gonorrhoeae macrolide resistance mutations in the 50S ribosomal protein L4

The emergence of resistance to azithromycin complicates treatment of N. gonorrhoeae, the etiologic agent of gonorrhea. Population genomic analyses of clinical isolates have demonstrated that some azithromycin resistance remains unexplained after accounting for the contributions of known resistance mutations in the 23S rRNA and the MtrCDE efflux pump. Bacterial genome-wide association studies (GWAS) offer a promising approach for identifying novel resistance genes but must adequately address the challenge of controlling for genetic confounders while maintaining power to detect variants with lower effect sizes. Compared to a standard univariate GWAS, conducting GWAS conditioned on known resistance mutations with high effect sizes substantially reduced the number of variants that reached genome-wide significance and identified a G70D mutation in the 50S ribosomal protein L4 (encoded by the gene rplD) as significantly associated with increased azithromycin minimum inhibitory concentrations ({beta} = 1.03, 95% CI [0.76, 1.30]). The role and prevalence of these rplD mutations in conferring macrolide resistance in N. gonorrhoeae had been unclear. Here, we experimentally confirmed our GWAS results, identified other resistance-associated mutations in RplD, and showed that in total these RplD binding site mutations are prevalent (present in 5.42% of 4850 isolates) and geographically and temporally widespread (identified in 21/65 countries across two decades). Overall, our findings demonstrate the utility of conditional associations for improving the performance of microbial GWAS and advance our understanding of the genetic basis of macrolide resistance in a prevalent multidrug-resistant pathogen.

microbiology↗

bioRxiv2020

Targeted surveillance strategies for efficient detection of novel antibiotic resistance variants

Genotype-based diagnostics for antibiotic resistance represent a promising alternative to empiric therapy, reducing inappropriate and ineffective antibiotic use. However, because such assays infer resistance phenotypes based on the presence or absence of known genetic markers, their utility will wane in response to the emergence of novel resistance. Maintenance of these diagnostics will therefore require surveillance designed to ensure early detection of novel resistance variants, but efficient strategies to do so remain to be defined. Here, we evaluate the efficiency of targeted sampling approaches informed by patient and pathogen characteristics in detecting genetic variants associated with antibiotic resistance or diagnostic escape in Neisseria gonorrhoeae, focusing on this pathogen because of its high burden of disease, the imminent threat of treatment resistance, and the use and ongoing development of genotype-based diagnostics. We show that incorporating patient characteristics, such as demographics, geographic regions, or anatomical sites of isolate collection, into sampling approaches is not a reliable strategy for increasing variant detection efficiency. In contrast, sampling approaches informed by pathogen characteristics, such as genomic diversity and genomic background, are significantly more efficient than random sampling in identifying genetic variants associated with antibiotic resistance and diagnostic escape.

genomics↗

bioRxiv2020

Increased antibiotic susceptibility in Neisseria gonorrhoeae through adaptation to the cervical environment

Neisseria gonorrhoeae is an urgent public health threat due to rapidly increasing incidence and antibiotic resistance. In contrast with the trend of increasing resistance, clinical isolates that have reverted to susceptibility regularly appear, prompting questions about which pressures compete with antibiotics to shape gonococcal evolution. Here, we used genome-wide association on the largest collection of N. gonorrhoeae isolates to date (n=4852) to identify loss-of-function (LOF) mutations in the efflux pump mtrCDE operon as a mechanism of increased antibiotic susceptibility and demonstrate that these mutations are overrepresented in cervical isolates relative to urethral isolates (odds ratio (OR) = 3.74, 95% CI [1.98-6.70]). In support of a model in which pump expression incurs a fitness cost in this niche, cervical isolates were also enriched relative to urethral isolates in LOF mutations in the mtrCDE activator mtrA (OR = 8.60, 95% CI [4.96-14.57]) and in farA, a subunit of the FarAB efflux pump (OR = 6.25, 95% CI [3.90-9.83]). In total, approximately 2 in 5 cervical isolates (42.6%) contained a LOF mutation in either the efflux pump components mtrC or farA or the activator mtrA. Our findings extend beyond N. gonorrhoeae to other Neisseria: mtrC LOF mutations are rare (<1%) in the primarily nasopharyngeal-colonizing N. meningitidis in a collection of 14,798 genomes but enriched in a heterosexual urethritis-associated lineage (8.6%, p = 9.90x10-5), indicating that efflux pump downregulation contributes broadly to the adaptation of pathogenic Neisseria to the female urogenital tract. Overall, our findings highlight the impact of integrating microbial population genomics with host metadata and demonstrate how host environmental pressures can lead to increased antibiotic susceptibility.

microbiology↗

bioRxiv2017

Signatures of selection at drug resistance loci in Mycobacterium tuberculosis

Tuberculosis (TB) is the leading cause of death by an infectious disease, and global TB control efforts are increasingly threatened by drug resistance in Mycobacterium tuberculosis (M. tb). Unlike most bacteria, where lateral gene transfer is an important mechanism of resistance acquisition, resistant M. tb arises solely by de novo chromosomal mutation. Using whole genome sequencing data from two natural populations of M. tb, we characterized the population genetics of known drug resistance loci using measures of diversity, population differentiation, and convergent evolution. We found resistant sub-populations to be less diverse than susceptible sub-populations, consistent with ongoing transmission of resistant M. tb. A subset of resistance genes (\"sloppy targets\") were characterized by high diversity and multiple rare variants; we posit that a large genetic target for resistance and relaxation of purifying selection contribute to high diversity at these loci. For \"tight targets\" of selection, the path to resistance appeared narrower, evidenced by single favored mutations that arose numerous times on the phylogeny and segregated at markedly different frequencies in resistant and susceptible sub-populations. These results suggest that diverse genetic architectures underlie drug resistance in M. tb, and combined approaches are needed to identify causal mutations. Extrapolating from patterns observed in well-characterized genes, we identified novel candidate variants involved in resistance. The approach outlined here can be extended to identify resistance variants for new drugs, to investigate the genetic architecture of resistance, and, when phenotypic data are available, to find candidate genetic loci underlying other positively selected traits in clonal bacteria.\n\nImportanceMycobacterium tuberculosis (M. tb), the causative agent of tuberculosis (TB), is a significant burden on global health. Antibiotic treatment imposes strong selective pressure on M. tb populations. Identifying the mutations that cause drug resistance in M. tb is important for guiding TB treatment and halting the spread of drug resistance. Whole genome sequencing (WGS) of M. tb isolates can be used to identify novel mutations mediating drug resistance and to predict resistance patterns faster than traditional methods of drug susceptibility testing. We have used WGS from natural populations of drug resistant M. tb to characterize effects of selection for advantageous mutations on patterns of diversity at genes involved in drug resistance. The methods developed here can be used to identify novel advantageous mutations, including new resistance loci, in M. tb and other clonal pathogens.

microbiology↗

bioRxiv2017

Adaptation Of Staphylococcus saprophyticus At The Host-Pathogen Interface

Human-pathogenic bacteria are found in a variety of niches, including free-living, zoonotic, and microbiome environments. Identifying bacterial adaptions that enable invasive disease is an important means of gaining insight into the molecular basis of pathogenesis and understanding pathogen emergence. Staphylococcus saprophyticus, a leading cause of urinary tract infections, can be found in the environment, food, animals, and the human microbiome. We identified a selective sweep in the gene encoding the Aas adhesin, a key virulence factor that binds host fibronectin. We hypothesize that the mutation under selection (aas_2206A>C) facilitates colonization of the urinary tract, an environment where bacteria are subject to strong shearing forces. The mutation appears to have enabled emergence and expansion of a human pathogenic lineage of S. saprophyticus. These results demonstrate the power of evolutionary genomic approaches in discovering the genetic basis of virulence and emphasize the pleiotropy and adaptability of bacteria occupying diverse niches.\n\nImportanceStaphylococcus saprophyticus is an important cause of urinary tract infections (UTI) in women, which are common, can be severe, and are associated with significant impacts to public health. In addition to being a cause of human UTI, S. saprophyticus can be found in the environment, in food, and associated with animals. After discovering that UTI strains of S. saprophyticus are for the most part closely related to each other, we sought to determine whether these strains are specially adapted to cause disease in humans. We found evidence suggesting that a mutation in the gene aas is advantageous in the context of human infection. We hypothesize that the mutation allows S. saprophyticus to survive better in the human urinary tract. These results show how bacteria found in the environment can evolve to cause disease.

microbiology↗