WGS accurately predicts antimicrobial resistance in Escherichia coli.

OBJECTIVES: The objective of this study was to determine the effectiveness of WGS in identifying resistance genotypes of MDR Escherichia coli and whether these correlate with observed phenotypes. METHODS: Seventy-six E. coli strains were isolated from farm cattle and measured for phenotypic resistance to 15 antimicrobials with the Sensititre(®) system. Isolates with resistance to at least four antimicrobials in three classes were selected for WGS using an Illumina MiSeq. Genotypic analysis was conducted with in-house Perl scripts using BLAST analysis to identify known genes and mutations associated with clinical resistance. RESULTS: Over 30 resistance genes and a number of resistance mutations were identified among the E. coli isolates. Resistance genotypes correlated with 97.8% specificity and 99.6% sensitivity to the identified phenotypes. The majority of discordant results were attributable to the aminoglycoside streptomycin, whereas there was a perfect genotype-phenotype correlation for most antibiotic classes such as tetracyclines, quinolones and phenicols. WGS also revealed information about rare resistance mechanisms, such as structural mutations in chromosomal copies of ampC conferring third-generation cephalosporin resistance. CONCLUSIONS: WGS can provide comprehensive resistance genotypes and is capable of accurately predicting resistance phenotypes, making it a valuable tool for surveillance. Moreover, the data presented here showing the ability to accurately predict resistance suggest that WGS may be used as a screening tool in selecting anti-infective therapy, especially as costs drop and methods improve.

Development of a targeted amplicon sequencing method for genotyping Cyclospora cayetanensis from fresh produce and clinical samples with enhanced genomic resolution and sensitivity.

Outbreaks of cyclosporiasis, an enteric illness caused by the parasite Cyclospora cayetanensis, have been associated with consumption of various types of fresh produce. Although a method is in use for genotyping C. cayetanensis from clinical specimens, the very low abundance of C. cayetanensis in food and environmental samples presents a greater challenge. To complement epidemiological investigations, a molecular surveillance tool is needed for use in genetic linkage of food vehicles to cyclosporiasis illnesses, estimation of the scope of outbreaks or clusters of illness, and determination of geographical areas involved. We developed a targeted amplicon sequencing (TAS) assay that incorporates a further enrichment step to gain the requisite sensitivity for genotyping C. cayetanensis contaminating fresh produce samples. The TAS assay targets 52 loci, 49 of which are located in the nuclear genome, and encompasses 396 currently known SNP sites. The performance of the TAS assay was evaluated using lettuce, basil, cilantro, salad mix, and blackberries inoculated with C. cayetanensis oocysts. A minimum of 24 markers were haplotyped even at low contamination levels of 10 oocysts in 25 g leafy greens. The artificially contaminated fresh produce samples were included in a genetic distance analysis based on haplotype presence/absence with publicly available C. cayetanensis whole genome sequence assemblies. Oocysts from two different sources were used for inoculation, and samples receiving the same oocyst preparation clustered together, but separately from the other group, demonstrating the utility of the assay for genetically linking samples. Clinical fecal samples with low parasite loads were also successfully genotyped. This work represents a significant advance in the ability to genotype C. cayetanensis contaminating fresh produce along with greatly expanding the genomic diversity included for genetic clustering of clinical specimens.

Whole-Genome Sequence Analysis of CTX-M Containing Escherichia coli Isolates from Retail Meats and Cattle in the United States.

In recent years, there have been increased reports on the detection of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli and Salmonella strains from food-producing animals and animal products in the United States. We characterized 18 ESBL E. coli isolates from cattle (n = 5), chicken breast (n = 5), ground turkey (n = 6), ground beef (n = 1), and pork chops (n = 1) that were collected by the National Antimicrobial Resistance Monitoring System (NARMS) between 2011 and 2015. In vitro antimicrobial susceptibility testing was done against a panel of 14 antimicrobials followed by a secondary panel of 9 ß-lactam agents. Whole-genome sequencing was used to characterize the resistome, plasmids, and the genetic structures of the ESBL genes. All ESBL-producing E. coli isolates were resistant to at least three antimicrobial classes and carried various blaCTX-M genes. Most of the cattle and ground turkey isolates carried blaCTX-M-27. In chicken breast isolates, blaCTX-M-1 was present as part of an ISEcp1 transposition unit carried on a plasmid that shares sequence similarity with the backbone structure of the IncI plasmid. Isolates carrying the blaCTX-M-14 and blaCTX-M-15 genes, widely distributed in human clinical isolates, were also isolated. To our knowledge, this is the first report of the widely distributed blaCTX-M-14 and blaCTX-M-15 in E. coli isolates from retail meat samples in the United States. Different insertional sequences were identified upstream of these blaCTX-Ms, including ISEcp1, IS26, and IS903-D. CTX-M in E. coli from food animals and retail chicken breast were often present on plasmids with other resistance genes. Other resistance genes identified included aadA, strA, strB, aac(3)-IId, aac(3)-VIa, aph(3')-Ic, blaTEM, blaHERA-3, floR, sul1, sul2, catA1, tetA, tetB, dfrA, and qacE. These data describe the emergence of CTX-M-carrying E. coli isolates in food animals and animal products monitored by NARMS program.

Introduction to Preharvest Food Safety.

This introductory article provides an overview of preharvest food safety activities and initiatives for the past 15 years. The section on traditional areas of preharvest food safety focuses on significant scientific advancements that are a culmination of collaborative efforts (both public health and agriculture) and significant research results. The highlighted advancements provide the foundation for exploring future preharvest areas and for improving and focusing on more specific intervention/control/prevention strategies. Examples include Escherichia coli and cattle, Salmonella and Campylobacter in poultry, and interventions and prevention and control programs. The section on "nontraditional" preharvest food safety areas brings attention to potential emerging food safety issues and to future food safety research directions. These include organic production, the FDA's Produce Rule (water and manure), genomic sequencing, antimicrobial resistance, and performance metrics. The concluding section emphasizes important themes such as strategic planning, coordination, epidemiology, and the need for understanding food safety production as a continuum. Food safety research, whether at the pre- or postharvest level, will continue to be a fascinating complex web of foodborne pathogens, risk factors, and scientific and policy interactions. Food safety priorities and research must continue to evolve with emerging global issues, emerging technologies, and methods but remain grounded in a multidisciplinary, collaborative, and systematic approach.

Methodological quality assessment of review articles evaluating interventions to improve microbial food safety.

Review articles are a means of summarizing the potentially vast volume of research on a topic. However, the methodological quality of review articles varies, and reviews on the same topic may reach different conclusions. We evaluated 65 review articles published between 2000 and 2005 that addressed the effectiveness of microbial food safety interventions, using criteria for methodological soundness developed in the medical field. Overall, the methodological quality of the review articles was poor, with none of the reviews providing information on the method of locating primary research studies or the inclusion/exclusion criteria for selecting primary studies. None of the reviews included a critical appraisal of the methodological quality of the primary studies. Less than half of the reviews stated a focused research question, explored possible reasons for differences in the results of primary studies, discussed the generalizability of results, or proposed directions for future research. There is a need to improve the methodological quality of review articles on microbial food safety interventions if they are to be of use in policy and decision making.

Epidemiology and food safety.

With the introduction of the Food Safety Initiative in 1997, food safety activities and research funding have increased dramatically. Advances in microbiological methods and epidemiologic research have provided significant progress in our understanding of foodborne diseases and in our implementation of control programs. This article highlights some of those food safety activities and epidemiologic research programs. This article also describes potential future research areas and activities.

Data sources: use in the epidemiologic study of medical devices.

Medical device epidemiology is the study of the prevalence and incidence of use, effectiveness, and adverse events associated with medical devices in a population. The identification of large data sources with medical device data provides a large population for epidemiologic studies. Two challenges in medical device epidemiology are the ability to find data on the specific device and the exposure of a patient to that device. This paper identifies data sources both from the govenment and from the private sector that can be used for epidemiologic studies of medical devices and, to a limited degree, studies of medical devices in women. Each source provides data for different types of devices and in differing specificity. The paper also discusses briefly the strengths and weaknesses of each data source. More data sources are needed to enhance the study of medical device epidemiology. Additional efforts and focus are needed to enhance the ability to study medical devices in women.