Opportunity
Simpler Grants.gov #G27AS00044
USGS research on Rocky Mountain macroinvertebrate barcodes and aquatic community modeling
Buyer
U.S. Geological Survey
Posted
October 30, 2026
Respond By
December 01, 2026
Identifier
G27AS00044
NAICS
541714, 541715
The U.S. Geological Survey is seeking a research partner to strengthen barcode references for Rocky Mountain riverine macroinvertebrates and support aquatic community modeling. - Government buyer: U.S. Department of the Interior, U.S. Geological Survey (USGS), Water Resources Mission Area. - Opportunity: Cooperative agreement for research; one award is expected, with funding from $1 up to a $250,000 ceiling. - Research scope: Review COI-region mitochondrial DNA databases to find underrepresented macroinvertebrate groups; select approximately 150 species with available reference specimens; obtain tissue samples; develop and quality-check species barcodes; and submit results to public databases such as GenBank and BOLD. - Additional pilot work: Combine field-sample metagenomics and geospatial datasets with artificial intelligence and machine-learning models to predict aquatic community composition. - Notable requirements: Applicants must be participating partners of the Great Basin Ecosystem Studies Unit. Proposals should demonstrate barcode expertise, access to specimens, reproducible methods, and quality assurance. The recipient will collaborate with USGS, disseminate results, and meet geospatial data requirements, including open formats, appropriate metadata, and submission of produced or collected GIS data. - OEMs and vendors: No product manufacturers or commercial vendors are identified; GenBank and BOLD are named as public databases.
Description
The U.S. Geological Survey is offering a cooperative agreement to an eligible participating partner of the Great Basin Ecosystem Studies Unit for research in species barcoding. The project aims to enhance the species barcode library for riverine macroinvertebrates in the Rocky Mountain region and support a pilot using metagenomics, geospatial datasets, and artificial intelligence and machine-learning models to assess aquatic species and predict community composition. One award is expected, with a total estimated funding and award ceiling of $250,000 and an award floor of $1. The response deadline is November 30, 2026, at 11:59 PM ET.