Multiple- locus variable-number tandem-repeat analysis (MLVA) of Shigella sonnei isolates of 2012 outbreak I. R. Iran.
Microb Pathog
; 102: 69-73, 2017 Jan.
Article
in En
| MEDLINE
| ID: mdl-27914957
ABSTRACT
Shigella sonnei is a major cause of diarrhea especially in children. Molecular study can help to determine the outbreak of this bacterium. Multiple-Locus Variable number tandem repeat Analysis (MLVA) will largely influence the public health field by introducing newer, faster, safer, and effective procedure for typing of microorganisms. A total of fifty shigella isolates were collected between November 2012 to October 2013 in Tehran, Iran. The strains were identified base on biochemical and molecular tests. Subsequently, all shigella species were confirmed by species-specific polymerase chain reaction (PCR). Virulence factors were detected using PCR for ial, set1A, and set1B genes. The strains were genotyped by MLVA typing method. All of the isolates were identified as S. sonnei by biochemical and molecular (PCR) methods. Virulence genes identified among all isolates included ial, and set1A genes in 20% and 5% of all isolates, respectively. On the other hand, none of isolates were positive for set1B gene. Using MLVA method 22 MLVA types were identified. MLVA type 11 accounted for 32% of isolates. Moreover, all virulence factors were only detected in MLVA type 11, 9, 5, 4. The results of this study indicate that the Iranian 2012-2013 S. sonnei outbreak isolates were virulent and clonaly related. Furthermore, this study showed that MLVA can be used as useful method for S. sonnei genotyping in epidemiological investigations.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Shigella sonnei
/
DNA, Bacterial
/
Minisatellite Repeats
/
Dysentery, Bacillary
/
Multilocus Sequence Typing
Type of study:
Prognostic_studies
Limits:
Child, preschool
/
Humans
/
Infant
/
Newborn
Country/Region as subject:
Asia
Language:
En
Journal:
Microb Pathog
Journal subject:
DOENCAS TRANSMISSIVEIS
/
MICROBIOLOGIA
Year:
2017
Document type:
Article