Biology subjects

Evans, D. R.

Publications and source records attributed to Evans, D. R..

7 recordsLinked to original sources

bioRxiv2026

Area use and residency behaviour at reproductive and foraging areas of green turtles from the largest rookery in the Atlantic

The conservation of migratory marine megavertebrates depends on the protection of different areas during their life cycles. Many populations have recovered following exploitation-driven declines. Green turtles exemplify successful efforts protecting reproductive populations, reducing harvesting, promoting population recoveries globally. Tortuguero, Costa Rica, the second largest rookeries for green turtles worldwide, implemented long-term conservation efforts leading to a population recovery, which is now in decline. This study investigates migratory connectivity of green turtles from Tortuguero across the Caribbean, and the role marine protected areas (MPAs) play in protecting key habitats supporting this population. Over 25 years, we satellite tagged 63 female green turtles to study their internesting and post-nesting foraging movements. Applying a state-space model, we calculated a movement-persistence index, to separate internesting and foraging periods. We calculated turtles' utilization distribution areas for both periods. To assess the protection coverage at each end of the migration, we calculated time spent within and outside MPAs. Tracked turtles spent a median of 42.3 days (SD=18.8, range=12-80) within 30 km offshore before departing the internesting area, spending just 23.0% of time within nearby MPAs. After nesting, turtles migrated to 14 different foraging areas, Miskitos Cays, Nicaragua hosted the most turtles (n=23). Mean transmission time in foraging areas was 175.6 days (SD=126.0; range=13-544). Generally, turtles foraged 58.0% of the time within MPAs boundaries; however, ~32% of tracked turtles foraged outside MPAs. Considering all known stressors, we found this population to be insufficiently protected at either end of their migratory cycle, remaining vulnerable to regional threats.

ecology↗

bioRxiv2021

Genomic diversity of hospital-acquired infections revealed through prospective whole genome sequencing-based surveillance

Healthcare-associated infections (HAIs) cause mortality, morbidity, and waste of healthcare resources. HAIs are also an important driver of antimicrobial resistance, which is increasing around the world. Beginning in November 2016, we instituted an initiative to detect outbreaks of HAI using prospective whole genome sequencing-based surveillance of bacterial pathogens collected from hospitalized patients. Here we describe the biodiversity of bacteria sampled from hospitalized patients at a single center, as revealed through systematic analysis of their genomes. We sequenced the genomes of 3,004 bacterial isolates from hospitalized patients collected over a 25-month period. We identified bacteria belonging to 97 distinct species, which were distributed among 14 species groups. Within these groups, isolates could be distinguished from one another by both average nucleotide identity (ANI) and principal component analysis of accessory genes (PCA-A). Genetic distances between isolates and rates of evolution varied between different species, which has implications for the selection of distance cut-offs for outbreak analysis. Antimicrobial resistance genes and the sharing of mobile genetic elements between different species were frequently observed. Overall, this study describes the population structure of pathogens circulating in a single healthcare setting, and shows how investigating microbial population dynamics can inform genomic epidemiology studies. ImportanceHospitalized patients are at increased risk of becoming infected with antibiotic-resistant organisms. We used whole-genome sequencing to survey and compare over 3,000 bacterial isolates collected from hospitalized patients at a large medical center over a two-year period. We identified nearly 100 different bacterial species, suggesting that patients can be infected with a wide variety of different organisms. When we examined how genetic relatedness differed between species, we found that different species are likely evolving at different rates within our hospital. This is significant because the identification of bacterial outbreaks in the hospital currently relies on genetic similarity cut-offs, which are often applied uniformly across organisms. Finally, we found that antibiotic resistance genes and mobile genetic elements were abundant among the bacterial isolates we sampled. Overall, this study provides an in-depth view of the genomic diversity and evolution of bacteria sampled from hospitalized patients, as well as genetic similarity estimates that can inform hospital outbreak detection and prevention efforts.

microbiology↗

bioRxiv2021

Carbapenem-Resistant Acinetobacter baumannii in US hospitals: diversification of circulating lineages and antimicrobial resistance

Carbapenem-resistant Acinetobacter baumannii (CRAb) are a major cause of healthcare-associated infections. CRAb are typically multidrug-resistant and infection is difficult to treat. Despite the urgent threat that CRAb pose, few systematic studies of CRAb clinical and molecular epidemiology have been conducted. The Study Network of Acinetobacter as a Carbapenem-Resistant Pathogen (SNAP) is designed to investigate the clinical characteristics and contemporary population structure of CRAb circulating in US hospital systems using whole genome sequencing (WGS). Analysis of the initial 120 SNAP patients from four US centers revealed that CRAb remain a significant threat to hospitalized patients, affecting the most vulnerable patients and resulting in 24% all-cause 30-day mortality. The majority of currently circulating isolates belonged to ST2Pas, a part of Clonal Complex 2 (CC2), which is the dominant drug-resistant lineage in the United States and Europe. We identified three distinct sub-lineages within CC2, which differed in their antibiotic resistance phenotypes and geographic distribution. Most concerning, colistin resistance (38%) and cefiderocol (10%) resistance were common within CC2 sub-lineage C (CC2C), where the majority of isolates belonged to ST2Pas/ST281Ox. Additionally, we identified a newly emergent lineage, ST499Pas that was the most common non-CC2 lineage in our study and had a more favorable drug susceptibility profile compared to CC2. Our findings suggest a shift within the CRAb population in the US during the past 10 years, and emphasize the importance of real-time surveillance and molecular epidemiology in studying CRAb dissemination and clinical impact. ImportanceCarbapenem-resistant Acinetobacter baumannii (CRAb) constitute a major threat to public health. To elucidate the molecular and clinical epidemiology of CRAb in the US, clinical CRAb isolates were collected along with data on patient characteristics and outcomes and bacterial isolates underwent whole genome sequencing and antibiotic susceptibility phenotyping. Key findings included emergence of new sub-lineages within the globally predominant clonal complex (CC) 2, increased colistin and cefiderocol resistance within one of the CC2 sub-lineages, and the emergence of ST499Pas as a previously unrecognized CRAb lineage in US hospitals.

microbiology↗

bioRxiv2021

Genomic and functional characterization of Pseudomonas aeruginosa-targeting bacteriophages isolated from hospital wastewater

Pseudomonas aeruginosa infections can be difficult to treat and new therapeutic approaches are needed. Bacteriophage therapy is a promising alternative to traditional antibiotics, but large numbers of isolated and characterized phages are lacking. We collected 23 genetically and phenotypically diverse P. aeruginosa isolates from people with cystic fibrosis (CF) and clinical infections, and characterized their genetic, phenotypic, and prophage diversity. We then used these isolates to screen and isolate 14 new P. aeruginosa-targeting phages from hospital wastewater. Phages were characterized with genome sequencing, comparative genomics, and lytic activity screening against all 23 bacterial host isolates. For four different phages, we evolved bacterial mutants that were resistant to phage infection. We then used genome sequencing and functional analysis of the resistant mutants to study their mechanisms of phage resistance as well as changes in virulence factor production and antibiotic resistance, which differed from corresponding parent bacterial isolates. Finally, we tested two phages for their ability to kill P. aeruginosa grown in biofilms in vitro, and observed that both phages reduced viable bacteria in biofilms by least one order of magnitude. One of these phages also showed activity against P. aeruginosa biofilms grown on CF airway epithelial cells. Overall, this study demonstrates how systematic genomic and phenotypic characterization can be deployed to develop bacteriophages as precision antibiotics.

microbiology↗

bioRxiv2020

Genomic and phenotypic diversity of Enterococcus faecalis isolated from endophthalmitis

Enterococcus faecalis are hospital-associated opportunistic pathogens and also causative agents of post-operative endophthalmitis. Patients with enterococcal endophthalmitis often have poor visual outcomes, despite appropriate antibiotic therapy. Here we investigated the genomic and phenotypic characteristics of E. faecalis isolates collected from 13 patients treated at the University of Pittsburgh Medical Center Eye Center over 19 years. Comparative genomic analysis indicated that patients were infected with E. faecalis of diverse multi-locus sequence types (STs) previously associated with clinical, commensal, and environmental sources. We identified known E. faecalis virulence factors and antibiotic resistance genes in each genome, including genes conferring resistance to aminoglycosides, erythromycin, and tetracyclines. We assessed all isolates for their cytolysin production, biofilm formation, and antibiotic susceptibility, and observed phenotypic differences between isolates. Fluoroquinolone and cephalosporin susceptibilities were particularly variable, as were biofilm formation and cytolysin production. In addition, we found evidence of E. faecalis adaptation during recurrent endophthalmitis by identifying genetic variants that arose in sequential isolates sampled over eight-months from the same patient. We identified a mutation in the DNA mismatch repair gene mutS that was associated with a hypermutator phenotype in the final isolate from the patient, which was also more resistant to ceftazidime. Overall this study documents the genomic and phenotypic variability among E. faecalis causing endophthalmitis, as well as possible adaptive mechanisms underlying bacterial persistence during recurrent ocular infection. IMPORTANCEBacterial endophthalmitis is a sight-threatening infection of the inside of the eye. Enterococcus faecalis cause endophthalmitis occasionally, but when they do the infections are often severe. Here we investigated the genomes, antibiotic susceptibilities, and virulence-associated traits among E. faecalis collected from 13 patients with post-operative endophthalmitis. We wondered whether there were common bacterial factors that might explain why enterococcal endophthalmitis is so destructive to ocular tissues. Instead we found that E. feacalis isolated from endophthalmitis were genetically and phenotypically diverse; isolates belonged to a variety of genetic lineages and showed varying levels of antibiotic resistance and biofilm formation. We also undertook further characterization of three closely related E. faecalis isolates from a patient with recurrent endophthalmitis, and found that a hypermutator strain emerged during persistent infection. Hypermutators have been found in a variety of other infection contexts; here we describe what we believe is the first case of a hypermutator arising during ocular infection.

microbiology↗

bioRxiv2020

Clinical and genomic epidemiology of carbapenem-non-susceptible Citrobacter spp. at a tertiary healthcare center over two decades

Carbapenem-non-susceptible Citrobacter spp. (CNSC) are increasingly recognized as healthcare-associated pathogens. Information regarding their clinical epidemiology, genetic diversity, and mechanisms of carbapenem resistance is lacking. We examined microbiology records of adult patients at the University of Pittsburgh Medical Center (UMPC) Presbyterian Hospital (PUH) from 2000-2018 for CNSC, as defined by ertapenem non-susceptibility. Over this timeframe, the proportion of CNSC increased from 4% to 10% (P=0.03), as did carbapenem daily defined doses/1000 patient days (6.52 to 34.5, R2=0.831, P<0.001), which correlated with the observed increase in CNSC (lag=0 years, R2=0.660). Twenty CNSC isolates from 19 patients at PUH and other UPMC hospitals were available for further analysis, including whole-genome short-read sequencing and additional antimicrobial susceptibility testing. Of the 19 patients, nearly all acquired CNSC in the healthcare setting and over half had polymicrobial cultures containing at least one other organism. Among the 20 CNSC isolates, C. freundii was the predominant species identified (60%). CNSC genomes were compared with genomes of carbapenem-susceptible Citrobacter spp. from UPMC, and with other publicly available CNSC genomes. Isolates encoding carbapenemases (blaKPC-2, blaKPC-3, and blaNDM-1) were also long-read sequenced, and their carbapenemase-encoding plasmid sequences were compared with one another and with publicly available sequences. Phylogenetic analysis of 102 UPMC Citrobacter spp. genomes showed that CNSC from our setting did not cluster together. Similarly, a global phylogeny of 64 CNSC genomes showed a diverse population structure. Our findings suggest that both local and global CNSC populations are genetically diverse, and that CNSC harbor carbapenemase-encoding plasmids found in other Enterobacterales.

microbiology↗

bioRxiv2019

Comprehensive analysis of horizontal gene transfer among multidrug-resistant bacterial pathogens in a single hospital

Multidrug-resistant bacterial pathogens pose a serious public health threat, especially in hospital settings. Horizontal gene transfer (HGT) of mobile genetic elements (MGEs) contributes to this threat by facilitating the rapid spread of genes conferring antibiotic resistance, enhanced virulence, and environmental persistence between nosocomial pathogens. Despite recent advances in microbial genomics, studies of HGT in hospital settings remain limited in scope. The objective of this study was to identify and track the movement of MGEs within a single hospital system using unbiased methods. We screened the genomes of 2,173 bacterial isolates from healthcare-associated infections collected over an 18-month time period to identify nucleotide regions that were identical in the genomes of bacteria belonging to distinct genera. These putative MGEs were found in 196 isolates belonging to 11 different genera; they grouped into 51 clusters of related elements, and they were most often shared between related genera. To resolve the genomic locations of the most prevalent MGEs, we performed long-read sequencing on a subset of representative isolates and generated highly contiguous, hybrid-assembled genomes. Many of these genomes contained plasmids and chromosomal elements encoding one or more of the MGEs we identified, which were often arranged in a mosaic fashion. We then tracked the appearance of ten MGE-bearing plasmids in all 2,173 genomes, and found evidence supporting the transfer of plasmids between patients independent from bacterial transmission. Finally, we identified two instances of likely plasmid transfer across genera within individual patients. In one instance, the plasmid appeared to have subsequently transferred to a second patient. By surveying a large number of bacterial genomes sampled from infections at a single hospital in a systematic and unbiased manner, we were able to track the independent transfer of MGEs over time. This work expands our understanding of HGT in healthcare settings, and can inform efforts to limit the spread of drug-resistant pathogens in hospitals.

microbiology↗