# Gnotobiology Core

> **NIH NIH P01** · UNIVERSITY OF OREGON · 2020 · $293,199

## Abstract

PROJECT SUMMARY/ABSTRACT (GNOTOBIOLOGY CORE)
Gnotobiology (meaning “known life”) is the science of animals that are devoid of microbes (germ-free) or
associated with defined microbial consortia. Experiments involving gnotobiotic zebrafish are central to each of
the Research Projects of this Program Project Grant. The Gnotobiology Core provides the expertise necessary
to ensure that experiments described in this proposal are carried out with maximal efficiency and minimal
unnecessary use of vertebrate animals. Beyond ensuring that established methods of germ-free derivation and
gnotobiotic experimentation are implemented to guarantee the highest level of quality control, the
Gnotobiology Core will carry out research that extends the limits of our current gnotobiotic husbandry
methodologies. These research objectives include extending the period of time over which germ-free zebrafish
can be maintained, developing new ways to co-house zebrafish to control the inter-individual transmission of
their microbes, and increasing the range and type of experiments that can be performed with zebrafish-
associated microbes through developing and implementing new genetic engineering strategies in bacteria.
Achieving these objectives will significantly enhance the ability to carry out experiments described in the
Research Projects.

## Key facts

- **NIH application ID:** 9990820
- **Project number:** 5P01GM125576-03
- **Recipient organization:** UNIVERSITY OF OREGON
- **Principal Investigator:** JUDITH S EISEN
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $293,199
- **Award type:** 5
- **Project period:** 2018-08-06 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9990820

## Citation

> US National Institutes of Health, RePORTER application 9990820, Gnotobiology Core (5P01GM125576-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9990820. Licensed CC0.

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