# ADRDL Diagnostic testing support for the FDA CVM VET-LIRN program

> **NIH FDA U18** · SOUTH DAKOTA STATE UNIVERSITY · 2024 · $18,750

## Abstract

4/12/23
Project Summary
The South Dakota Animal Disease Research and Diagnos�c Laboratory (SD ADRDL) will serve as a Whole
Genome Sequencing (WGS) core laboratory for the Veterinary Laboratory Inves�ga�on and Response
Network (Vet-LIRN). The main aim of this project is to perform WGS on isolates obtained from working
with 5 partner source labs: North Carolina State University Center for Veterinary Medicine, Michigan
State University Veterinary Diagnos�c Laboratory, Minnesota Veterinary Diagnos�c Laboratory, Iowa
State University Veterinary Diagnos�c Laboratory, and Oklahoma Animal Disease Diagnos�c Laboratory.
These partners will culture Salmonella enterica, Escherichia coli, Staphylococcus pseudintermedius, and
other relevant organisms from veterinary matrices. Once sent to the SD ADRDL, iden�ty will be veriﬁed
via MALDI-TOF before extrac�ng genomic DNA and performing WGS. Sequence will be uploaded to NCBI
bioprojects designated by Vet-LIRN Program Oﬃce.
Vet-LIRN has been tasked with developing AST and WGS assays that will allow for increased
understanding of an�microbial resistance within veterinary samples. This knowledge will be used to
develop evidence-based interven�ons that have demonstrated reduc�ons in resistance.
5U18FD006558 Page 1 of 1

## Key facts

- **NIH application ID:** 11174151
- **Project number:** 3U18FD006558-07S1
- **Recipient organization:** SOUTH DAKOTA STATE UNIVERSITY
- **Principal Investigator:** Laura Ruesch
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2024
- **Award amount:** $18,750
- **Award type:** 3
- **Project period:** 2018-09-10 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11174151

## Citation

> US National Institutes of Health, RePORTER application 11174151, ADRDL Diagnostic testing support for the FDA CVM VET-LIRN program (3U18FD006558-07S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/11174151. Licensed CC0.

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