Turkish Journal of Biology
DOI
10.3906/biy-0904-11
Abstract
Numerical taxonomy was used to analyze phenotypic data obtained from 126 new isolates of Aeromonas strains taken from red meat, raw chicken, minced meat, and fish samples. Each strain was tested for 86 characters but only the final data including 63 characters were analysed using the S_{SM} coefficients and the UPGMA clustering algorithm. At S_{SM} values of => 83%, the strains clustered into 10 aggregate groups consisting of 7 major (5 and up strains) and 3 minor (2-4 strains), and 5 single member clusters, each of which was identified as A. hydrophila, A. caviae, and A. sobria, respectively. It was proved that the food isolates showed a relative phenotypical distance and the groups of strains that had atypical profiles were compared with the type species by the present identification schemes. It was clearly seen that the phenetic approach was a necessary tool to delimitate and identify the Aeromonas species. Numerical taxonomy of Aeromonas strains isolated from different sources revealed the presence of potentially pathogenic Aeromonas spp., especially in food.
Keywords
Numerical taxonomy, Aeromonas, biochemical identification
First Page
463
Last Page
472
Recommended Citation
ERDEM, BELGİN; KARİPTAŞ, ERGİN; ÇİL, ELİF; and IŞIK, KAMİL
(2011)
"Biochemical identification and numerical taxonomy of Aeromonas spp. isolated from food samples in Turkey,"
Turkish Journal of Biology: Vol. 35:
No.
4, Article 10.
https://doi.org/10.3906/biy-0904-11
Available at:
https://journals.tubitak.gov.tr/biology/vol35/iss4/10
