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

ABSTRACT Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1α ( EF-1α ), the largest subunit of RNA polymerase ( RPB1 ), and the second largest subunit of RNA polymerase ( RPB2 ). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the…

• UD
  U.S. Department of Agriculture
• CF
  Centers for Disease Control and Prevention