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Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples
Published on: October 25, 2018
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SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data
Shaokang Zhang1, Hendrik C den Bakker1, Shaoting Li1
1Center for Food Safety, University of Georgia, Griffin, Georgia, USA.
Applied and Environmental Microbiology
|September 22, 2019
Summary
SeqSero2 is a faster and more accurate tool for Salmonella serotype determination using whole-genome sequencing (WGS) data. This updated software improves public health surveillance by rapidly identifying Salmonella serotypes from raw reads and assemblies.
Area of Science:
- Microbiology and Infectious Diseases
- Bioinformatics and Computational Biology
- Public Health and Epidemiology
Background:
- Serotyping is fundamental for Salmonella surveillance, a critical public health tool.
- Whole-genome sequencing (WGS) is transforming microbial surveillance but requires efficient analysis tools.
- The original SeqSero software, while useful, had limitations in speed, assembly optimization, and serotype assignment accuracy.
Purpose of the Study:
- To introduce SeqSero2, an improved algorithmic and functional update to the SeqSero pipeline for Salmonella serotype determination.
- To enhance the speed and accuracy of serotype prediction from both raw WGS reads and draft genome assemblies.
- To provide a robust tool for large-scale Salmonella surveillance integrating WGS data with classic serotyping schemes.
Main Methods:
- Developed SeqSero2 with an updated k-mer based algorithm for rapid serotype prediction from raw sequencing reads.
- Incorporated additional sequence markers for improved identification of Salmonella species, subspecies, and serotypes.
- Implemented a targeted assembly approach for efficient retrieval of serotype-determining regions from WGS data.
Main Results:
- SeqSero2 achieved up to 50x speed improvement over the original SeqSero, processing genomes in seconds from raw reads.
- Maintained equivalent accuracy for raw reads and substantially improved accuracy for draft genome assemblies.
- Identified potential contamination in 3% of tested genomes by detecting reads from multiple serotypes; demonstrated accurate prediction from long nanopore reads.
Conclusions:
- SeqSero2 offers a significant advancement in Salmonella serotype determination, enhancing speed and accuracy for WGS-based surveillance.
- The tool facilitates the integration of WGS into routine laboratory workflows, supporting public health and food safety.
- SeqSero2's capabilities extend to contamination detection and accurate analysis of long-read sequencing data.
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