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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Food and Feed Safety Research » Research » Publications at this Location » Publication #206583
Title: Integrated Database for Functional Analysis in Aspergillus flavus

Author
item SMITH, C - NCSU RALEIGH
item WOLOSHUK, C - PURDUE UNIV
item KELLER, N - UNIV OF WI, MADISON
item Yu, Jiujiang
item PAYNE, G - NCSU RALEIGH

Submitted to: Fungal Genetics Conference
Publication Type: Abstract Only
Publication Acceptance Date: 2/16/2007
Publication Date: 3/18/2007
Citation: Smith, C.P., Woloshuk, C.P., Keller, N.P., Yu, J., Payne, G.A. 2007. Integrated Database for Functional Analysis in Aspergillus flavus. In: Proceedings of the 24th Fungal Genetics Conference and the 4th International Aspergillus Meeting, March 18-25, 2007, Asilomar, CA. Abstract #280, p. 106.

Interpretive Summary:

Technical Abstract: Aspergillus flavus is a plant and animal pathogen that also produces the carcinogen, aflatoxin. Because of its economic importance and well characterized pathway of aflatoxin biosynthesis, several labs are studying the development, metabolism, ecology and pathogenicity of this fungus. To facilitate the research efforts in these areas and to identify potential genes and pathways for functional analysis, we are developing a database to integrate multiple categories of data. This database resource will serve two important functions: 1) it will provide a platform for the deposition of data from individual experiments; and 2) it will permit the ready analysis of composite data from all experiments enabling researchers to mine a larger data set. It will include phenotypic measurements, gene expression data from microarrays and metabolic profile information, and will be flexible enough to allow the addition of new types of measurement in the future. Users will interact with the database through a web based interface and will be able to: describe experiments; upload data gathered during those experiments; run analyses on the data; select and download raw data; and select and download the results of analyses. Recently acquired lab and field data will be used to highlight the structure and utility of this database. These measurements will include fungal growth, aflatoxin concentrations and gene expression data acquired from lab studies and infected developing maize seeds.