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Entomopathogen ID: a curated sequence resource for entomopathogenic fungi.
Dunlap, Christopher A; Ramirez, José Luis; Mascarin, Gabriel Moura; Labeda, David P.
Afiliação
  • Dunlap CA; Crop Bioprotection Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, 1815 North University Street, Peoria, IL, 61604, USA. Christopher.dunlap@ars.usda.gov.
  • Ramirez JL; Crop Bioprotection Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, 1815 North University Street, Peoria, IL, 61604, USA.
  • Mascarin GM; Embrapa Meio Ambiente, Rodovia SP-340, km 127.5, S/N - Tanquinho Velho, Jaguariúna, SP, 13820-000, Brazil.
  • Labeda DP; Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, 1815 North University Street, Peoria, IL, 61604, USA.
Antonie Van Leeuwenhoek ; 111(6): 897-904, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29170835
ABSTRACT
We report the development of a publicly accessible, curated nucleotide sequence database of hypocrealean entomopathogenic fungi. The goal is to provide a platform for users to easily access sequence data from taxonomic reference strains. The database can be used to accurately identify unknown entomopathogenic fungi based on sequence data for a variety of phylogenetically informative loci. The database provides full multi-locus sequence alignment capabilities. The initial release contains data compiled for 525 strains covering the phylogenetic diversity of three important entomopathogenic families Clavicipitaceae, Cordycipitaceae, and Ophiocordycipitaceae. Furthermore, Entomopathogen ID can be expanded to other fungal clades of insect pathogens, as sequence data becomes available. The database will allow isolate characterisation and evolutionary analyses. We contend that this freely available, web-accessible database will facilitate the broader community to accurately identify fungal entomopathogens, which will allow users to communicate research results more effectively.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hypocreales / Insetos Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hypocreales / Insetos Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article