Related Experiment Video
Updated: May 10, 2026

06:12
Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples
Published on: October 25, 2018
8.6K
217 closed Salmonella reference genomes using PacBio sequencing
Yan Luo1, Jae Hee Jang2, Maria Balkey3
1U.S. Food and Drug Administration, Human Foods Program, College Park, MD, USA. Yan.Luo@fda.hhs.gov.
BMC Genomic Data
|February 28, 2025
Summary
Researchers have added 217 complete Salmonella enterica genomes, generated using PacBio long-read sequencing, to public databases. This enhances food safety pathogen detection by providing more accurate genomic data for Salmonella.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
Background:
- Whole Genome Sequencing (WGS) is crucial for food safety pathogen surveillance.
- Existing public databases often lack comprehensive genomic data due to reliance on short-read sequencing, limiting insights into repetitive regions, structural variations, and mobile genetic elements.
- Accurate genomic information is vital for tracking antimicrobial resistance (AMR) and virulence genes.
Purpose of the Study:
- To improve the accuracy and completeness of genomic data in public databases for foodborne pathogens.
- To provide high-quality, closed-circular Salmonella enterica genomes generated by PacBio long-read sequencing.
- To enrich the NCBI Pathogen Detection (PD) database and GenBank with diverse Salmonella genomes.
Main Methods:
- Utilized PacBio long-read sequencing technology to generate 217 closed circular Salmonella enterica genomes.
- Sequenced genomes from 78 distinct Salmonella serovars, representing unique strains or SNP clusters.
- Contributed the generated high-quality genome data to the NCBI PD database and GenBank.
Main Results:
- Successfully generated and contributed 217 complete, closed-circular Salmonella enterica genomes.
- The dataset includes genomes from 78 different Salmonella serovars, significantly increasing genomic diversity in public databases.
- The PacBio long-read data provides enhanced resolution for repetitive regions, structural variations, and mobile genetic elements compared to short-read data.
Conclusions:
- The addition of PacBio-generated complete genomes significantly enhances the accuracy and utility of public genomic databases for food safety applications.
- This dataset enables more precise analysis of Salmonella genomes, facilitating better understanding of AMR and virulence gene distribution.
- Complete reference genomes are essential for robust pathogen detection, investigation, and control strategies in food safety.

