Opportunity

Simpler Grants.gov #G27AS00064

USGS avian microbiome bioinformatics research

Buyer

Geological Survey (U.S. Geological Survey)

Posted

November 05, 2026

Respond By

January 06, 2027

Identifier

G27AS00064

NAICS

541715

The U.S. Geological Survey is seeking a Gulf Coast CESU partner to analyze avian microbiome data under a cooperative agreement. - Government buyer: U.S. Geological Survey (USGS), Eastern Ecological Science Center at Patuxent Refuge. - Related collaborators and data partners named: U.S. Fish and Wildlife Service (USFWS), U.S. Department of Agriculture Animal and Plant Health Inspection Service (USDA APHIS), Native Alaskan communities, and state wildlife authorities in Nebraska, Wyoming, and Texas. - Requested service: Analyze existing and forthcoming avian microbiome metatranscriptomic datasets, including quality control, taxonomic classification, genome assembly, and identification of viruses, bacteria, archaea, and microbial eukaryotes. Assess microbial diversity and abundance across host species, tissues, and geographic regions, emphasizing wildlife and zoonotic pathogens. - Deliverables and notable requirements: Develop reproducible bioinformatic workflows, support surveillance-relevant comparisons, collaborate on peer-reviewed publications, and make derived data publicly accessible through repositories. Cost sharing is not required. - Funding: One award is expected, with estimated total funding of $459,000 and an estimated first-year amount of $142,000. - OEMs and commercial vendors: None identified.

Description

The U.S. Geological Survey is soliciting applications from participating Gulf Coast Cooperative Ecosystem Studies Unit partners for research analyzing existing and upcoming avian microbiome metatranscriptomic datasets. Work includes identifying viruses and other microorganisms, especially wildlife and zoonotic pathogens; assessing microbial diversity and abundance across host species, tissues, and regions; and developing reproducible bioinformatic workflows. Awardees are expected to collaborate on peer-reviewed publications and make derived data products publicly available. One cooperative agreement is expected, with total program funding of $459,000 and no cost sharing required.

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