# Ambystoma Genetic Stock Center

> **NIH NIH P40** · UNIVERSITY OF KENTUCKY · 2022 · $115,350

## Abstract

PROJECT SUMMARY
The Ambystoma Genetic Stock Center (AGSC) is a P40 Research Resource that distributes
laboratory axolotls (Ambystoma mexicanum) to researchers and educators nationally and
internationally. The AGSC houses approximately 880 adults in aquatic recirculating systems
and static bowls to sustain a captive, wildtype breeding population and a small number of
mutant and transgenic lines. Several dozen axolotl transgenic and knock-out axolotl lines have
been created by the axolotl community in the past couple of years and more lines are
anticipated in the future. The AGSC does not have enough tanks or infrastructure to house all
adult breeders or newly created lines as living stocks. An effort is underway to develop a sperm
cryopreservation protocol so that axolotl lines can be managed as both living stocks and
cryopreserved stocks. Until the sperm cryopreservation protocol is developed and shown to
reproducibly allow for the re-derivation of axolotl lines from frozen sperm, there is critical need to
increase the number of tanks in the AGSC. This Administrative Supplement will be used to
purchase two recirculating systems that will add 240 tanks to the AGSC. The addition of these
new tanks to the AGSC will provide infrastructure that is critically needed to sustain lines for the
axolotl community.

## Key facts

- **NIH application ID:** 10598309
- **Project number:** 3P40OD019794-08S2
- **Recipient organization:** UNIVERSITY OF KENTUCKY
- **Principal Investigator:** Stephen Randal Voss
- **Activity code:** P40 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $115,350
- **Award type:** 3
- **Project period:** 2022-07-01 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10598309

## Citation

> US National Institutes of Health, RePORTER application 10598309, Ambystoma Genetic Stock Center (3P40OD019794-08S2). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10598309. Licensed CC0.

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