# MICROBIOLOGY (WHOLE GENOME SEQUENCING - TRACK 4)

> **NIH FDA U19** · MICHIGAN STATE DEPARTMENT OF HEALTH AND HUMAN SERVICES · 2020 · $90,000

## Abstract

PROJECT SUMMARY: 
The primary goal of this project is to support Food and Drug Administration (FDA) by performing whole genome 
sequencing on isolates collected from human and or animal food for bacterial pathogens thereby assisting trace 
back investigations across the State of Michigan. For this project MDHHS will test approximately 400 isolates 
from human food, animal food, environmental and water samples by Whole Genome Sequencing and upload the 
results in real-time to NCBI-NIH database. The laboratory will participate in the GenomeTrakr network. 
Participation will include meetings, conference calls, proficiency testing and helping with activities such as 
overflow testing from network partners. A microbiologist will also attend an annual GenomeTrakr meeting and 
the annual LFFM face-to-face meeting. Participating in the GenomeTrakr network will increase MDHHS’ 
capabilities and ability to compare and analyze sequences that will improve and accelerate outbreak 
investigations. The laboratory routinely performs sequencing for Listeria monocytogenes, Salmonella, Shiga 
toxin-producing E.coli, Campylobacter, and Vibrio but is also able to sequence other organisms that may be of 
interest to FDA.

## Key facts

- **NIH application ID:** 10175408
- **Project number:** 1U19FD007116-01
- **Recipient organization:** MICHIGAN STATE DEPARTMENT OF HEALTH AND HUMAN SERVICES
- **Principal Investigator:** Marty Soehnlen
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $90,000
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10175408

## Citation

> US National Institutes of Health, RePORTER application 10175408, MICROBIOLOGY (WHOLE GENOME SEQUENCING - TRACK 4) (1U19FD007116-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10175408. Licensed CC0.

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