16S microbiome analysis of microbial communities in distribution centers handling fresh produce.

Little is known about the microbial communities found in distribution centers (DCs), especially in those storing and handling food. As many foodborne bacteria are known to establish residence in food facilities, it is reasonable to assume that DCs handling foods are also susceptible to pathogen colonization. To investigate the microbial communities within DCs, 16S amplicon sequencing was completed on 317 environmental surface sponge swabs collected in DCs ( = 18) across the United States.

Factors that predict Listeria prevalence in distribution centers handling fresh produce.

Listeria species prevalence has been investigated at nearly all stages of the fresh produce supply chain; however, it has not been examined in transportation and distribution center (DC) related environments. Between December 2019 and March 2021, 18 DCs handling fresh produce were environmentally sampled for Listeria. Swab samples were collected from a variety of surfaces (e.

A Systematic Review of Species and Prevalence, Persistence, and Diversity throughout the Fresh Produce Supply Chain.

is an increasing food safety concern throughout the produce supply chain as it has been linked to produce associated outbreaks and recalls. To our knowledge, this is the first systematic literature review to investigate species and prevalence, persistence, and diversity at each stage along the supply chain. This review identified 64 articles of 4863 candidate articles obtained from four Boolean search queries in six databases.

A quasimetagenomics method for concerted detection and subtyping of Salmonella enterica and E. coli O157:H7 from romaine lettuce.

Quasimetagenomics refers to the sequencing of a modified food microbiome to facilitate combined detection and subtyping of targeted pathogens in a single workflow. Through quasimetagenomic sequencing, pathogens are detected and subtyped in a shortened time frame compared to traditional culture enrichment and whole genome sequencing-based analyses. While this method was previously used to detect and subtype Salmonella enterica from chicken, iceberg lettuce, and black pepper, it has not been applied to investigate multiple pathogens in one workflow.

Assessing the Impact of a Preclinical Immersion on Nurse Practitioner Student Confidence for the Initial Clinical Experience.

Background: It is important for faculty to prepare nurse practitioner students for their first clinical experiences to ensure student success.

Purpose: The purpose of this project was to implement a preclinical immersion and determine student perceptions about this experience.

Methods: A half-day preclinical immersion was instituted at the beginning of the family nurse practitioner students' first clinical course.

Biocides and Novel Antimicrobial Agents for the Mitigation of Coronaviruses.

In December, 2019, a highly infectious and rapidly spreading new pneumonia of unknown cause was reported to the Chinese WHO Country Office. A cluster of these cases had appeared in Wuhan, a city in the Hubei Province of China. These infections were found to be caused by a new coronavirus which was given the name "2019 novel coronavirus" (2019-nCoV).

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples.

Quasi-metagenomics sequencing refers to the sequencing-based analysis of modified microbiomes of food and environmental samples. In this protocol, microbiome modification is designed to concentrate genomic DNA of a target foodborne pathogen contaminant to facilitate the detection and subtyping of the pathogen in a single workflow. Here, we explain and demonstrate the sample preparation steps for the quasi-metagenomics analysis of Salmonella enterica from representative food and environmental samples including alfalfa sprouts, ground black pepper, ground beef, chicken breast and environmental swabs.