An MLSA-based online scheme for the rapid identification of Stenotrophomonas isolates

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art_RAMOS_An_MLSAbased_online_scheme_for_the_rapid_identification_2011.PDF (882.36 KB)
Citações na Scopus
10
Tipo de produção
article
Data de publicação
2011
Editora
FUNDACO OSWALDO CRUZ
Indexadores
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Autores
TRAPPEN, Stefanie Van
SWINGS, Jean
VOS, Paul De
BARBOSA, Heloiza Ramos
THOMPSON, Cristiane Carneiro
VASCONCELOS, Ana Tereza Ribeiro
THOMPSON, Fabiano Lopes
Autor de Grupo de pesquisa
Editores
Coordenadores
Organizadores
Citação
MEMORIAS DO INSTITUTO OSWALDO CRUZ, v.106, n.4, p.394-399, 2011
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
An online scheme to assign Stenotrophomonas isolates to genomic groups was developed using the multilocus sequence analysis (MLSA), which is based on the DNA sequencing of selected fragments of the housekeeping genes ATP synthase alpha subunit (atpA), the recombination repair protein (recA), the RNA polymerase alpha subunit (rpoA) and the excision repair beta subunit (uvrB). This MLSA-based scheme was validated using eight of the 10 Stenotrophomonas species that have been previously described. The environmental and nosocomial Stenotrophomonas strains were characterised using MLSA, 16S rRNA sequencing and DNA-DNA hybridisation (DDH) analyses. Strains of the same species were found to have greater than 95% concatenated sequence similarity and specific strains formed cohesive readily recognisable phylogenetic groups. Therefore, MLSA appeared to be an effective alternative methodology to amplified fragment length polymorphism fingerprint and DDH techniques. Strains of Stenotrophomonas can be readily assigned through the open database resource that was developed in the current study (www.steno.lncc.br/).
Palavras-chave
Stenotrophomonas, MLSA, online scheme
URI
https://observatorio.fm.usp.br/handle/OPI/23277
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MPE
Artigos e Materiais de Revistas Científicas - LIM/36