# Whole Genome Sequencing to support GenomeTrakr-Discipline A: Microbiology- Track 4

> **NIH FDA U19** · WADSWORTH CENTER · 2020 · $138,091

## Abstract

PROJECT SUMMARY / ABSTRACT 
The long-term goal of this project is to reduce the frequency of disease outbreaks caused by food and other 
environmental sources contaminated with enteric pathogens. Identification and removal of sources of 
contamination is key to achieving this goal. To link putative sources to patient clusters public health 
laboratories historically look for matching genetic fingerprints using Pulsed Field Gel Electrophoresis (PFGE). 
However, PFGE will have been abandoned and replaced by surveillance based on Whole Genome 
Sequencing (WGS). 
WGS is being adopted by state and federal public health laboratories because of its greater genetic resolution 
when compared to PFGE, as well as its demonstrated ability to improve source attribution. WGS is described 
as offering the ultimate resolution since each nucleotide in the genome can be queried and phylogenetic 
relationships can be inferred using well-established computational models. However, to achieve the full 
promise of this technology, large well-curated databases are required that harbor sequence and associated 
metadata from isolates collected at diverse locations and times. Such databases aid in source attribution, 
understanding the natural history of the organisms, and provide a valuable resource for data mining. 
One such database is curated by the GenomeTrakr Network. The immediate goal of this project is to add two 
thousand unique and diverse draft genomes from food and environmental bacterial pathogens to this database 
over the next five years. This will be accomplished by sequencing well-characterized isolates from the 
Wadsworth Center and other institutions and sharing the sequence and metadata with the GenomeTrakr 
network and the National Center for Biotechnology Information (NCBI) in real-time. 
The expected outcome of this project will be to expand the GenomeTrakr database of high-quality scaffold 
genomes that are linked to metadata. This will allow more accurate subtyping to link patient pathogens to 
specific foods or environmental sources and ultimately reduce pathogen-borne illness.

## Key facts

- **NIH application ID:** 10173143
- **Project number:** 1U19FD007089-01
- **Recipient organization:** WADSWORTH CENTER
- **Principal Investigator:** WILLIAM J WOLFGANG
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $138,091
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173143

## Citation

> US National Institutes of Health, RePORTER application 10173143, Whole Genome Sequencing to support GenomeTrakr-Discipline A: Microbiology- Track 4 (1U19FD007089-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10173143. Licensed CC0.

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