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United States Department of Agriculture

Agricultural Research Service

Title: AgBase: a functional genomics resource for agriculture

Authors
item Mccarthy, F - MISSISSIPPI STATE UNIV
item Wang, N - MISSISSIPPI STATE UNIV
item Magee, G - MISSISSIPPI STATE UNIV
item Nanduri, B - MISSISSIPPI STATE UNIV
item Lawrence, M - MISSISSIPPI STATE UNIV
item Camon, E - EUROPEAN BIOINFORMATICS
item Barell, D - EUROPEAN BIOINFORMATICS
item Hill, D - MOUSE GENOME INFORMATICS
item Williams, William
item Luthe, D - PENN. STATE UNIVERSITY
item Bridges, S - MISSISSIPPI STATE UNIV
item Burgess, S - MISSISSIPPI STATE UNIV

Submitted to: Biomed Central (BMC) Genomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: September 8, 2006
Publication Date: September 8, 2006
Citation: McCarthy, F.M., Wang, N., Magee, G.B., Nanduri, B., Lawrence, M.L., Camon, E.B., Barell, D.G., Hill, D.P., Dolan, M.E., Williams, W.P., Luthe, D.S., Bridges, S.M., Burgess, S.C. 2006. AgBase: a functional genomics resource for agriculture. Biomed Central (BMC) Genomics. 7:229.

Interpretive Summary: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. To facilitate systems biology in these traditionally agricultural species we have established “AgBase”, a curated, web-accessible, public resource (www.agbase.msstate.edu) for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature. The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.

Technical Abstract: Many agricultural species and their pathogens have sequenced genomes and more are in progress. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. To facilitate systems biology in these traditionally agricultural species we have established “AgBase”, a curated, web-accessible, public resource (www.agbase.msstate.edu) for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally-annotating chicken, cow and sheep gene products using the Gene Ontology (GO). The computational tools we have developed accept and batch process data derived from different public databases (with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist preteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens.

Last Modified: 8/22/2014
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