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Phylogeny of Flavobacteria Group Isolated from Freshwater Using Multilocus Sequencing Analysis
Genomics & Informatics ; : 272-276, 2013.
Artigo em Inglês | WPRIM | ID: wpr-11245
ABSTRACT
Sequence analysis of the 16S rRNA gene has been widely used for the classification of microorganisms. However, we have been unable to clearly identify five Flavobacterium species isolated from a freshwater by using the gene as a single marker, because the evolutionary history is incomplete and the pace of DNA substitutions is relatively rapid in the bacteria. In this study, we tried to classify Flavobacterium species through multilocus sequence analysis (MLSA), which is a practical and reliable technique for the identification or classification of bacteria. The five Flavobacterium species isolated from freshwater and 37 other strains were classified based on six housekeeping genes gyrB, dnaK, tuf, murG, atpA, and glyA. The genes were amplified by PCR and subjected to DNA sequencing. Based on the combined DNA sequence (4,412 bp) of the six housekeeping genes, we analyzed the phylogenetic relationship among the Flavobacterium species. The results indicated that MLSA, based on the six housekeeping genes, is a trustworthy method for the identification of closely related Flavobacterium species.
Assuntos

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Filogenia / Bactérias / DNA / Sequência de Bases / Flavobacterium / Reação em Cadeia da Polimerase / Classificação / Análise de Sequência de DNA / Análise de Sequência / Genes Essenciais Tipo de estudo: Estudo prognóstico Idioma: Inglês Revista: Genomics & Informatics Ano de publicação: 2013 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Filogenia / Bactérias / DNA / Sequência de Bases / Flavobacterium / Reação em Cadeia da Polimerase / Classificação / Análise de Sequência de DNA / Análise de Sequência / Genes Essenciais Tipo de estudo: Estudo prognóstico Idioma: Inglês Revista: Genomics & Informatics Ano de publicação: 2013 Tipo de documento: Artigo