Location: Crop Bioprotection ResearchTitle: Entomopathogen ID: A multi-locus sequence alignment resource for entomopathogenic fungi Author
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 7/9/2017
Publication Date: 7/10/2017
Citation: Dunlap, C.A., Ramirez, J.L., Labeda, D.P. 2017. Entomopathogen ID: A multi-locus sequence alignment resource for entomopathogenic fungi. Meeting Abstract.
Technical Abstract: The ability to correctly identify entomopathogenic fungi is an important step in developing biopesticides and effectively communicating research results. Over the years, identifying entomopathogenic fungi has evolved from a system based on diagnostic morphological and physiological characters to molecular DNA based systems. Internal transcribed spacer (ITS) sequences have become the barcode of choice when identifying unknown fungi. While ITS sequencing is a great tool for identifying unknown fungi, it often lacks sufficient resolution to accurately identify common entomopathogenic fungi. The problem is further compounded by not having a curated database of reference sequences based on type material to compare sequences against. The Entomopathogen ID Multi-Locus Sequence Alignment (MLSA) resource attempts to correct these deficiencies by providing a curated sequence database built on sequences from MLSA and other taxonomic studies of common Hypocrealean entomopathogenic fungi spanning the taxonomic families of Cordycipitaceae, Clavicipitaceae, and Ophiocordycipitaceae.