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G27AS00044

Cooperative Agreement for affiliated Partner with Great Basin Cooperative Ecosystem Studies Unit

Official Grants.gov opportunity G27AS00044 from Geological Survey. Requires full eligibility, amount, controlling deadline, award-type and duplication QA before publication.

FundingOfficial federal synopsis lists an award ceiling of 250,000; applicant-level applicability requires full-NOFO review.
Deadline2026-11-30 (official deadline clock time and time zone must be checked in NOFO)
Last verifiedAtlas review
Required next actionReview the official full announcement, amendments and submission portal requirements before applying.

Broad Eligibility

Others (see text field entitled "Additional Information on Eligibility" for clarification)

Official funding announcement — preliminary draft

Funder: Geological Survey

Opportunity number: G27AS00044

Official listed status: posted

Closing information: 2026-11-30 (official deadline clock time and time zone must be checked in NOFO)

Award disclosure: Official federal synopsis lists an award ceiling of 250,000; applicant-level applicability requires full-NOFO review.

Applicant categories in federal synopsis: Others (see text field entitled "Additional Information on Eligibility" for clarification)

Federal synopsis

The U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for research in species barcoding.  Environmental DNA (eDNA) is potentially a powerful new tool to monitor and assess the status of aquatic ecosystems and the societal values they support such as recreational fishing and species protection.  Assessments based on metabarcoding can detect a wide array of species from microbes to fish, providing more comprehensive and cost-effect assessments than existing techniques.  However, one pressing need in developing metabarcoding assessment tools is to enhance existing libraries of aquatic species barcodes.The USGS Water Resources Mission Area is leading a pilot project in the Rocky Mountains to evaluate metagenomics as a means of monitoring and assessing aquatic species.  Metagenomics data from field samples will be combined with large geospatial datasets to develop artificial intelligence and machine-learning models that predict community composition.  The project is more likely to succeed if current gaps in species barcode libraries are filled.

Draft intake record. Eligibility, program terms, current amendments and applicant ceiling must be independently verified before publishing.

Official Grants.gov opportunity and NOFO

Source verificationOfficial government source · www.grants.govAtlas last verified this record during its latest review. Always use the funder's current application materials, amendments and portal instructions as the controlling source.View source and application materials ↗