Internet-Accessible DNA Sequence Database for Identifying Fusaria from Human and Animal Infections

摘要: Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological recognition), we constructed a three-locus DNA sequence database facilitate molecular identification the 69 Fusarium associated with human or animal mycoses encountered in clinical microbiology laboratories. The comprises partial sequences from three nuclear genes: translation elongation factor 1 (EF-1), largest subunit RNA polymerase (RPB1), and second (RPB2). These gene fragments amplified by PCR sequenced primers that are conserved across phylogenetic breadth Fusarium. Phylogenetic analyses combined set reveal that, exception two monotypic lineages, all nested one eight variously sized strongly supported complexes. monophyletic lineages have been named informally communication an isolate’s clade membership genetic diversity. To identify isolates included within database, more genes used as BLAST query against which is Web accessible at FUSARIUM-ID (http://isolate.fusariumdb.org) Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center (http://www.cbs.knaw.nl/fusarium). Alternatively, via analysis adding unknowns alignment, downloaded aforementioned websites. utility this should increase significantly members community deposit internationally culture collections (e.g., CBS-KNAW Research Center) cultures novel mycosis-associated fusaria, along associated, corrected chromatograms data, so results verified made available for future study.