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Microbiological quality of high-demand foods from three major cities in Ecuador

dataset
posted on 2024-06-11, 06:22 authored by USDA
Bacterial foodborne diseases are one of the most important public health issues worldwide but in Ecuador reports on the microbiological quality of foods are scarce. In this study, a total of 450 traditional food samples including bolon, encebollado, sauces, ceviche, fruit juices, fruit salads, cheese, raw chicken and ground beef were collected from popular markets in the cities of Guayaquil, Quito and Cuenca. Samples were assessed for microbiological quality using both culture dependent and culture independent techniques. Populations of total aerobic bacteria, total coliforms, fecal coliforms and E. coli were examined by plate count. Representative colonies from each culture were further identified using biochemical tests and sequencing of the 16S rRNA gene. For the culture independent analysis, bacterial DNA was extracted from food samples and submitted to next generation sequencing (NGS) of the v3-v4 region of 16S rDNA. By using culture dependent techniques, high prevalence of opportunistic and true pathogens including E. coli, Klebsiella pneumoneae, Salmonella spp., Listeria monocytogenes, Staphylococcus aureus, and Shigella flexneri was observed.Other potential pathogens were identified by NGS, including Clostridium spp.., Vibrio spp.., Helicobacter spp.., Campylobacter spp.., among others but no E. coli, Salmonella spp.. or Listeria spp. were detected. This is the first report on the microbiological quality of food from Ecuador.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2020-05-01

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA629846

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA629846 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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