scholarly journals Multiple-Locus VNTR Analysis (MLVA) for Bacterial Strain Identification - Quarterly Progress Report for the period 7/1/00 to 10/30/00

2000 ◽  
Author(s):  
Dr. Paul Keim
Keyword(s):  
Bacterial Strain ◽  
Progress Report ◽  
Strain Identification ◽  
Multiple Locus ◽  
Multiple Locus Vntr Analysis ◽  
Vntr Analysis

scholarly journals Distribution of Mycobacterium leprae genotypes from Surabaya and Bandung Clinical Isolates by Multiple Locus Variable Number of Tandem Repeat Analysis

2019 ◽  
Author(s):  
Cita Rosita Sigit Prakoeswa ◽  
Bayu Bijaksana Rumondor ◽  
Lina Damayanti ◽  
Muljaningsih Sasmojo ◽  
Dinar Adriaty ◽  
...  
Keyword(s):  
Genetic Markers ◽  
Tandem Repeat ◽  
Copy Number ◽  
Tandem Repeats ◽  
Variable Number ◽  
Multiple Locus ◽  
Leprosy Patients ◽  
Transmission Studies ◽  
Multiple Locus Vntr Analysis ◽  
Vntr Analysis

Multiple Locus Variable Number of Tandem Repeat (VNTR) analysis has been proposed as a means of genotyping for tracking leprosy transmission due to tandem repeats’ potential as genetic markers to differentiate M. leprae strains. However, characteristics of polymorphism can vary depending on the population. This study aimed to compare the copy number of repeats in four genetic markers: TTC, AC8a, AC9 and 6-7 in leprosy patients from Surabaya and Bandung. Twenty three patients from Dr. Soetomo General Hospital and 21 from Hasan Sadikin Hospital were recruited. Multiple locus VNTR analysis was applied using total DNA extracts from Slit Skin Smear (SSS). From Surabaya, 7 samples showed the same copy number of four genetic markers (TTC=15; AC8a=10; AC9=10 and 6-7=6) and 2 showed another (TTC=16; AC8a=10; AC9=11 and 6-7=6); as for samples from Bandung, 2 showed the same copy number (TTC=15; AC8a=8; AC9=10 and 6-7=8) and 2 showed another (TTC=16; AC8a=10; AC9=11 and 6-7=6). The multiple locus VNTR analysis showed two identical M. leprae VNTR profiles from Bandung and Surabaya which supports the use of VNTR loci for transmission studies.

scholarly journals Multiple locus VNTR analysis highlights that geographical clustering and distribution of Dichelobacter nodosus, the causal agent of footrot in sheep, correlates with inter-country movements

2014 ◽  
Vol 22 ◽  
pp. 273-279 ◽  
Author(s):  
Claire L. Russell ◽  
Edward M. Smith ◽  
Leonides A. Calvo-Bado ◽  
Laura E. Green ◽  
Elizabeth M.H. Wellington ◽  
...  
Keyword(s):  
Causal Agent ◽  
Multiple Locus ◽  
Dichelobacter Nodosus ◽  
Geographical Clustering ◽  
Multiple Locus Vntr Analysis ◽  
Vntr Analysis

Antimicrobial susceptibility and molecular subtyping of 55 Turkish Bacillus anthracis strains using 25-loci multiple-locus VNTR analysis

2012 ◽  
Vol 35 (4) ◽  
pp. 355-361 ◽  
Author(s):  
Mesut Ortatatli ◽  
Alper Karagoz ◽  
Duygu Percin ◽  
Levent Kenar ◽  
Selcuk Kilic ◽  
...  
Keyword(s):  
Bacillus Anthracis ◽  
Antimicrobial Susceptibility ◽  
Molecular Subtyping ◽  
Multiple Locus ◽  
Multiple Locus Vntr Analysis ◽  
Vntr Analysis

A novel multiple locus variable number of tandem repeat (VNTR) analysis (MLVA) method for Propionibacterium acnes

2015 ◽  
Vol 33 ◽  
pp. 233-241 ◽  
Author(s):  
Yolande Hauck ◽  
Charles Soler ◽  
Patrick Gérôme ◽  
Rithy Vong ◽  
Christine Macnab ◽  
...  
Keyword(s):  
Tandem Repeat ◽  
Propionibacterium Acnes ◽  
Variable Number ◽  
Multiple Locus ◽  
Vntr Analysis

scholarly journals Development of Multiple-Locus Variable-Number Tandem-Repeat Analysis for the Molecular Subtyping of Enterobacter sakazakii

2007 ◽  
Vol 74 (4) ◽  
pp. 1223-1231 ◽  
Author(s):  
N. R. Mullane ◽  
M. Ryan ◽  
C. Iversen ◽  
M. Murphy ◽  
P. O'Gaora ◽  
...  
Keyword(s):  
Tandem Repeats ◽  
Fluorescent Dyes ◽  
Variable Number Tandem Repeat ◽  
Variable Number ◽  
Enterobacter Sakazakii ◽  
Multiple Locus ◽  
Epidemiological Tool ◽  
Genescan Analysis ◽  
Variable Number Tandem Repeats ◽  
Multiple Locus Vntr Analysis

ABSTRACT The genomic content of Enterobacter sakazakii strain ATCC BAA-894 was analyzed for variable-number tandem repeats (VNTRs). In this study we report the development of a multiple-locus VNTR analysis (MLVA) strategy for the subtyping of E. sakazakii. The method is based on a GeneScan analysis of four VNTR loci labeled with multiple fluorescent dyes. This approach was applied to a collection of 112 isolates representing all 16 of the currently defined E. sakazakii biogroups. MLVA successfully discriminated among these isolates and compared favorably with pulsed-field gel electrophoresis. The method was relatively fast and easy to perform. The potential value of MLVA as an epidemiological tool is discussed.

scholarly journals Improvement of Multiple-Locus VNTR Analysis Typing Scheme for Helicobacter pylori

2019 ◽  
pp. 1-7
Author(s):  
Vladimir M. Sorokin ◽  
Ruslan V. Pisanov ◽  
Aleksej S. Vodop'janov
Keyword(s):  
Helicobacter Pylori ◽  
Genetic Relatedness ◽  
Variable Number Tandem Repeat ◽  
Variable Number ◽  
Genome Database ◽  
Vntr Locus ◽  
Multiple Locus ◽  
H Pylori ◽  
Mlva Typing ◽  
Vntr Analysis

Aims: To improve a multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA) assay for Helicobacter pylori typing. Materials and Methods: Polymorphic VNTRs were searched by Gene Expert. The distribution and polymorphism of each VNTR locus were analyzed in 18 H. pylori genomes from the NCBI genome database by BLAST and were compared with a collection of 15 clinical H. pylori strains. The MLVA assay was compared with MLST-typing for discriminating H. pylori isolates. Results: Twelve VNTR loci were identified by bioinformatic screening of H. pylori genomes, and five of them were highly polymorphic. Therefore, an MLVA assay composed of five VNTR loci was developed with greatest discriminatory power. Conclusion: MLVA typing is a faster and more standardized method for studying the genetic relatedness of H. pylori isolates. At preliminary stage it is sufficient to use only 3 VNTR loci for the differentiation of H. pylori strains.

scholarly journals Creation of Databases for Systematization of Antibiotic Resistance Monitoring Results

2020 ◽  
pp. 59-63
Author(s):  
EA Bereznyak ◽  
AV Trishina ◽  
NA Selyanskaya ◽  
IR Simonova
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Strain ◽  
Bacterial Communities ◽  
Strain Identification ◽  
Heterogeneous Information ◽  
Rostov Region ◽  
Wide Range ◽  
Numerous Data ◽  
Standard Techniques ◽  
Epidemiological Information

Introduction: The study of the composition and antibiotic resistance of bacterial communities of water bodies requires effective processing of numerous data. Our objective was to systematize studies of sensitivity/resistance of pathogenic and opportunistic microorganisms in water reservoirs of Rostov-on-Don and the Rostov Region conducted by the Rostov-on-Don Anti-Plague Research Institute and to create databases (DB) including epidemiological information on the date and source of an isolate, results of bacterial strain identification, and evaluation of their sensitivity/resistance to antibacterial preparations (ABP). Materials and methods: Isolation, identification and interpretation of results of determining sensitivity/resistance to antibacterial preparations were carried out for different groups of microorganisms using standard techniques. Results: The databases “Phenotypes of antibiotic resistance of Vibrio cholerae of various serogroups isolated in the Rostov Region” (2017621303 dated November 14, 2017) and “Spectrum of microflora of open reservoirs in Rostov-on-Don, sensitivity/resistance to antibacterial drugs” (2017620158 dated February 28, 2017) were registered. The article describes the experience in creating and using the databases to process and analyze research results. The databases are regularly supplemented and updated as part of annual monitoring enabling us not only to monitor and analyze large amounts of heterogeneous information, but also to quickly compare the data, analyze sensitivity/resistance of microorganisms of different groups to a wide range of ABP, and visualize the results.

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