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Featured researches published by Eija Trees.


Clinical Infectious Diseases | 2016

Implementation of Nationwide Real-time Whole-genome Sequencing to Enhance Listeriosis Outbreak Detection and Investigation

Brendan R. Jackson; Cheryl L. Tarr; Errol Strain; Kelly A. Jackson; Amanda Conrad; Heather Carleton; Lee S. Katz; Steven Stroika; L. Hannah Gould; Rajal K. Mody; Benjamin J. Silk; Jennifer Beal; Yi Chen; Ruth Timme; Matthew Doyle; Angela Fields; Matthew E. Wise; Glenn Tillman; Stephanie Defibaugh-Chavez; Zuzana Kucerova; Ashley Sabol; Katie Roache; Eija Trees; Mustafa Simmons; Jamie Wasilenko; Kristy Kubota; Hannes Pouseele; William Klimke; John M. Besser; Eric W. Brown

Listeria monocytogenes (Lm) causes severe foodborne illness (listeriosis). Previous molecular subtyping methods, such as pulsed-field gel electrophoresis (PFGE), were critical in detecting outbreaks that led to food safety improvements and declining incidence, but PFGE provides limited genetic resolution. A multiagency collaboration began performing real-time, whole-genome sequencing (WGS) on all US Lm isolates from patients, food, and the environment in September 2013, posting sequencing data into a public repository. Compared with the year before the project began, WGS, combined with epidemiologic and product trace-back data, detected more listeriosis clusters and solved more outbreaks (2 outbreaks in pre-WGS year, 5 in WGS year 1, and 9 in year 2). Whole-genome multilocus sequence typing and single nucleotide polymorphism analyses provided equivalent phylogenetic relationships relevant to investigations; results were most useful when interpreted in context of epidemiological data. WGS has transformed listeriosis outbreak surveillance and is being implemented for other foodborne pathogens.


Clinical Infectious Diseases | 2012

A Novel Vehicle for Transmission of Escherichia coli O157:H7 to Humans: Multistate Outbreak of E. coli O157:H7 Infections Associated With Consumption of Ready-to-Bake Commercial Prepackaged Cookie Dough—United States, 2009

Karen P. Neil; Gwen Biggerstaff; J. Kathryn MacDonald; Eija Trees; Carlota Medus; Kimberlee A. Musser; Steven Stroika; Don Zink; Mark J. Sotir

BACKGROUND  Escherichia coli O157:H7 is a Shiga toxin-producing E. coli (STEC) associated with numerous foodborne outbreaks in the United States and is an important cause of bacterial gastrointestinal illness. In May 2009, we investigated a multistate outbreak of E. coli O157:H7 infections. METHODS  Outbreak-associated cases were identified using serotyping and molecular subtyping procedures. Traceback investigation and product testing were performed. A matched case-control study was conducted to identify exposures associated with illness using age-, sex-, and state-matched controls. RESULTS  Seventy-seven patients with illnesses during the period 16 March-8 July 2009 were identified from 30 states; 35 were hospitalized, 10 developed hemolytic-uremic syndrome, and none died. Sixty-six percent of patients were <19 years; 71% were female. In the case-control study, 33 of 35 case patients (94%) consumed ready-to-bake commercial prepackaged cookie dough, compared with 4 of 36 controls (11%) (matched odds ratio = 41.3; P < .001); no other reported exposures were significantly associated with illness. Among case patients consuming cookie dough, 94% reported brand A. Three nonoutbreak STEC strains were isolated from brand A cookie dough. The investigation led to a recall of 3.6 million packages of brand A cookie dough and a product reformulation. CONCLUSIONS  This is the first reported STEC outbreak associated with consuming ready-to-bake commercial prepackaged cookie dough. Despite instructions to bake brand A cookie dough before eating, case patients consumed the product uncooked. Manufacturers should consider formulating ready-to-bake commercial prepackaged cookie dough to be as safe as a ready-to-eat product. More effective consumer education about the risks of eating unbaked cookie dough is needed.


Journal of Clinical Microbiology | 2015

Comparative Analysis of Subtyping Methods against a Whole-Genome-Sequencing Standard for Salmonella enterica Serotype Enteritidis

Xiangyu Deng; Nikki Shariat; Elizabeth M. Driebe; Chandler C. Roe; Beth Tolar; Eija Trees; Paul Keim; Wei Zhang; Edward G. Dudley; Patricia I. Fields; David M. Engelthaler

ABSTRACT A retrospective investigation was performed to evaluate whole-genome sequencing as a benchmark for comparing molecular subtyping methods for Salmonella enterica serotype Enteritidis and survey the population structure of commonly encountered S. enterica serotype Enteritidis outbreak isolates in the United States. A total of 52 S. enterica serotype Enteritidis isolates representing 16 major outbreaks and three sporadic cases collected between 2001 and 2012 were sequenced and subjected to subtyping by four different methods: (i) whole-genome single-nucleotide-polymorphism typing (WGST), (ii) multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA), (iii) clustered regularly interspaced short palindromic repeats combined with multi-virulence-locus sequence typing (CRISPR-MVLST), and (iv) pulsed-field gel electrophoresis (PFGE). WGST resolved all outbreak clusters and provided useful robust phylogenetic inference results with high epidemiological correlation. While both MLVA and CRISPR-MVLST yielded higher discriminatory power than PFGE, MLVA outperformed the other methods in delineating outbreak clusters whereas CRISPR-MVLST showed the potential to trace major lineages and ecological origins of S. enterica serotype Enteritidis. Our results suggested that whole-genome sequencing makes a viable platform for the evaluation and benchmarking of molecular subtyping methods.


PLOS ONE | 2013

Outbreak of Shiga Toxin-Producing Escherichia coli (STEC) O157:H7 Associated with Romaine Lettuce Consumption, 2011

Rachel B. Slayton; George Turabelidze; Sarah D. Bennett; Colin A. Schwensohn; Anna Q. Yaffee; Faisal Khan; Cindy Butler; Eija Trees; Tracy Ayers; Marjorie L. Davis; Alison S. Laufer; Stephen Gladbach; Ian S. Williams; Laura Gieraltowski

Background Shiga toxin-producing Escherichia coli (STEC) O157:H7 is the causal agent for more than 96,000 cases of diarrheal illness and 3,200 infection-attributable hospitalizations annually in the United States. Materials and Methods We defined a confirmed case as a compatible illness in a person with the outbreak strain during 10/07/2011-11/30/2011. Investigation included hypothesis generation, a case-control study utilizing geographically-matched controls, and a case series investigation. Environmental inspections and tracebacks were conducted. Results We identified 58 cases in 10 states; 67% were hospitalized and 6.4% developed hemolytic uremic syndrome. Any romaine consumption was significantly associated with illness (matched Odds Ratio (mOR) = 10.0, 95% Confidence Interval (CI) = 2.1–97.0). Grocery Store Chain A salad bar was significantly associated with illness (mOR = 18.9, 95% CI = 4.5–176.8). Two separate traceback investigations for romaine lettuce converged on Farm A. Case series results indicate that cases (64.9%) were more likely than the FoodNet population (47%) to eat romaine lettuce (p-value = 0.013); 61.3% of cases reported consuming romaine lettuce from the Grocery Store Chain A salad bar. Conclusions This multistate outbreak of STEC O157:H7 infections was associated with consumption of romaine lettuce. Traceback analysis determined that a single common lot of romaine lettuce harvested from Farm A was used to supply Grocery Store Chain A and a university campus linked to a case with the outbreak strain. An investigation at Farm A did not identify the source of contamination. Improved ability to trace produce from the growing fields to the point of consumption will allow more timely prevention and control measures to be implemented.


Eurosurveillance | 2013

Development and application of MLVA methods as a tool for inter-laboratory surveillance

Celine Nadon; Eija Trees; L K Ng; E Møller Nielsen; Aleisha Reimer; N Maxwell; Kristy Kubota; Peter Gerner-Smidt

Multiple-locus variable-number of tandem-repeats analysis (MLVA) has emerged as a valuable method for subtyping bacterial pathogens and has been adopted in many countries as a critical component of their laboratory-based surveillance. Lack of harmonisation and standardisation of the method, however, has made comparison of results generated in different laboratories difficult, if not impossible, and has therefore hampered its use in international surveillance. This paper proposes an international consensus on the development, validation, nomenclature and quality control for MLVA used for molecular surveillance and outbreak detection based on a review of the current state of knowledge.


Eurosurveillance | 2017

PulseNet International: Vision for the implementation of whole genome sequencing (WGS) for global food-borne disease surveillance

Celine Nadon; Ivo Van Walle; Peter Gerner-Smidt; Josefina Campos; Isabel Chinen; Jeniffer Concepción-Acevedo; Brent Gilpin; Anthony M. Smith; Kai Man Kam; Enrique Perez; Eija Trees; Kristy Kubota; Johanna Takkinen; Eva Møller Nielsen; Heather A. Carleton

PulseNet International is a global network dedicated to laboratory-based surveillance for food-borne diseases. The network comprises the national and regional laboratory networks of Africa, Asia Pacific, Canada, Europe, Latin America and the Caribbean, the Middle East, and the United States. The PulseNet International vision is the standardised use of whole genome sequencing (WGS) to identify and subtype food-borne bacterial pathogens worldwide, replacing traditional methods to strengthen preparedness and response, reduce global social and economic disease burden, and save lives. To meet the needs of real-time surveillance, the PulseNet International network will standardise subtyping via WGS using whole genome multilocus sequence typing (wgMLST), which delivers sufficiently high resolution and epidemiological concordance, plus unambiguous nomenclature for the purposes of surveillance. Standardised protocols, validation studies, quality control programmes, database and nomenclature development, and training should support the implementation and decentralisation of WGS. Ideally, WGS data collected for surveillance purposes should be publicly available, in real time where possible, respecting data protection policies. WGS data are suitable for surveillance and outbreak purposes and for answering scientific questions pertaining to source attribution, antimicrobial resistance, transmission patterns, and virulence, which will further enable the protection and improvement of public health with respect to food-borne disease.


Journal of Clinical Microbiology | 2013

Subtyping of Salmonella enterica serovar Newport outbreak isolates by CRISPR-MVLST and determination of the relationship between CRISPR-MVLST and PFGE results.

Nikki Shariat; Margaret K. Kirchner; Carol H. Sandt; Eija Trees; Rodolphe Barrangou; Edward G. Dudley

ABSTRACT Salmonella enterica subsp. enterica serovar Newport (S. Newport) is the third most prevalent cause of food-borne salmonellosis. Rapid, efficient, and accurate methods for identification are required to track specific strains of S. Newport during outbreaks. By exploiting the hypervariable nature of virulence genes and clustered regularly interspaced short palindromic repeats (CRISPRs), we previously developed a sequence-based subtyping approach, designated CRISPR–multi-virulence-locus sequence typing (CRISPR-MVLST). To demonstrate the applicability of this approach, we analyzed a broad set of S. Newport isolates collected over a 5-year period by using CRISPR-MVLST and pulsed-field gel electrophoresis (PFGE). Among 84 isolates, we defined 38 S. Newport sequence types (NSTs), all of which were novel compared to our previous analyses, and 62 different PFGE patterns. Our data suggest that both subtyping approaches have high discriminatory abilities (>0.95) with a potential for clustering cases with common exposures. Importantly, we found that isolates from closely related NSTs were often similar by PFGE profile as well, further corroborating the applicability of CRISPR-MVLST. In the first full application of CRISPR-MVLST, we analyzed isolates from a recent S. Newport outbreak. In this blinded study, we confirmed the utility of CRISPR-MVLST and were able to distinguish the 10 outbreak isolates, as defined by PFGE and epidemiological data, from a collection of 20 S. Newport isolates. Together, our data show that CRISPR-MVLST could be a complementary approach to PFGE subtyping for S. Newport.


Emerging Infectious Diseases | 2014

Genomic epidemiology of Salmonella enterica serotype Enteritidis based on population structure of prevalent lineages.

Xiangyu Deng; Prerak T. Desai; Henk C. den Bakker; Matthew Mikoleit; Beth Tolar; Eija Trees; Rene S. Hendriksen; Jonathan G. Frye; Steffen Porwollik; Bart C. Weimer; Martin Wiedmann; George M. Weinstock; Patricia I. Fields; Michael McClelland

Major lineages emerged during the 17th–18th centuries and diversified during the 1920s and 1950s.


Applied and Environmental Microbiology | 2012

Epidemiology of a Salmonella enterica subsp. enterica Serovar Typhimurium Strain Associated with a Songbird Outbreak

Sonia M. Hernandez; Kevin Keel; Susan Sanchez; Eija Trees; Peter Gerner-Smidt; Jennifer K. Adams; Ying Cheng; Al Ray; Gordon Martin; Andrea Presotto; Mark G. Ruder; Justin D. Brown; David S. Blehert; Walter Cottrell; John J. Maurer

ABSTRACT Salmonella enterica subsp. enterica serovar Typhimurium is responsible for the majority of salmonellosis cases worldwide. This Salmonella serovar is also responsible for die-offs in songbird populations. In 2009, there was an S. Typhimurium epizootic reported in pine siskins in the eastern United States. At the time, there was also a human outbreak with this serovar that was associated with contaminated peanuts. As peanuts are also used in wild-bird food, it was hypothesized that the pine siskin epizootic was related to this human outbreak. A comparison of songbird and human S. Typhimurium pulsed-field gel electrophoresis (PFGE) patterns revealed that the epizootic was attributed not to the peanut-associated strain but, rather, to a songbird strain first characterized from an American goldfinch in 1998. This same S. Typhimurium strain (PFGE type A3) was also identified in the PulseNet USA database, accounting for 137 of 77,941 total S. Typhimurium PFGE entries. A second molecular typing method, multiple-locus variable-number tandem-repeat analysis (MLVA), confirmed that the same strain was responsible for the pine siskin epizootic in the eastern United States but was distinct from a genetically related strain isolated from pine siskins in Minnesota. The pine siskin A3 strain was first encountered in May 2008 in an American goldfinch and later in a northern cardinal at the start of the pine siskin epizootic. MLVA also confirmed the clonal nature of S. Typhimurium in songbirds and established that the pine siskin epizootic strain was unique to the finch family. For 2009, the distribution of PFGE type A3 in passerines and humans mirrored the highest population density of pine siskins for the East Coast.


Genome Announcements | 2014

Genome Sequences of 228 Shiga Toxin-Producing Escherichia coli Isolates and 12 Isolates Representing Other Diarrheagenic E. coli Pathotypes

Eija Trees; Nancy A. Strockbine; Shankar Changayil; Satishkumar Ranganathan; Kun Zhao; Ryan Weil; Duncan MacCannell; Ashley Sabol; Amber Schmidtke; Haley Martin; Devon Stripling; Efrain M. Ribot; Peter Gerner-Smidt

ABSTRACT Shiga toxin-producing Escherichia coli (STEC) are a common cause for food-borne diarrheal illness outbreaks and sporadic cases. Here, we report the availability of the draft genome sequences of 228 STEC strains representing 32 serotypes with known pulsed-field gel electrophoresis (PFGE) types and epidemiological relationships, as well as 12 strains representing other diarrheagenic E. coli pathotypes.

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Ashley Sabol

Centers for Disease Control and Prevention

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Heather A. Carleton

Centers for Disease Control and Prevention

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Devon Stripling

Centers for Disease Control and Prevention

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Nancy A. Strockbine

Centers for Disease Control and Prevention

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Rebecca L. Lindsey

United States Department of Agriculture

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Beth Tolar

Centers for Disease Control and Prevention

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Darlene Wagner

Centers for Disease Control and Prevention

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Haley Martin

Centers for Disease Control and Prevention

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Lori A. Rowe

Centers for Disease Control and Prevention

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