Your browser doesn't support javascript.
loading
Phylogeny of Flavobacteria Group Isolated from Freshwater Using Multilocus Sequencing Analysis
Genomics & Informatics ; : 272-276, 2013.
Article in English | 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.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Phylogeny / Bacteria / DNA / Base Sequence / Flavobacterium / Polymerase Chain Reaction / Classification / Sequence Analysis, DNA / Sequence Analysis / Genes, Essential Type of study: Prognostic study Language: English Journal: Genomics & Informatics Year: 2013 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Phylogeny / Bacteria / DNA / Base Sequence / Flavobacterium / Polymerase Chain Reaction / Classification / Sequence Analysis, DNA / Sequence Analysis / Genes, Essential Type of study: Prognostic study Language: English Journal: Genomics & Informatics Year: 2013 Type: Article