Literature DB >> 28610787

SpolSimilaritySearch - A web tool to compare and search similarities between spoligotypes of Mycobacterium tuberculosis complex.

David Couvin1, Thierry Zozio2, Nalin Rastogi3.   

Abstract

Spoligotyping is one of the most commonly used polymerase chain reaction (PCR)-based methods for identification and study of genetic diversity of Mycobacterium tuberculosis complex (MTBC). Despite its known limitations if used alone, the methodology is particularly useful when used in combination with other methods such as mycobacterial interspersed repetitive units - variable number of tandem DNA repeats (MIRU-VNTRs). At a worldwide scale, spoligotyping has allowed identification of information on 103,856 MTBC isolates (corresponding to 98049 clustered strains plus 5807 unique isolates from 169 countries of patient origin) contained within the SITVIT2 proprietary database of the Institut Pasteur de la Guadeloupe. The SpolSimilaritySearch web-tool described herein (available at: http://www.pasteur-guadeloupe.fr:8081/SpolSimilaritySearch) incorporates a similarity search algorithm allowing users to get a complete overview of similar spoligotype patterns (with information on presence or absence of 43 spacers) in the aforementioned worldwide database. This tool allows one to analyze spread and evolutionary patterns of MTBC by comparing similar spoligotype patterns, to distinguish between widespread, specific and/or confined patterns, as well as to pinpoint patterns with large deleted blocks, which play an intriguing role in the genetic epidemiology of M. tuberculosis. Finally, the SpolSimilaritySearch tool also provides with the country distribution patterns for each queried spoligotype.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Database; Evolution; Molecular epidemiology; Mycobacterium tuberculosis; Similarity search; Spoligotyping

Mesh:

Substances:

Year:  2017        PMID: 28610787     DOI: 10.1016/j.tube.2017.04.007

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  5 in total

Review 1.  Mycobacterial biomaterials and resources for researchers.

Authors:  Manzour Hernando Hazbón; Leen Rigouts; Marco Schito; Matthew Ezewudo; Takuji Kudo; Takashi Itoh; Moriya Ohkuma; Katalin Kiss; Linhuan Wu; Juncai Ma; Moriyuki Hamada; Michael Strong; Max Salfinger; Charles L Daley; Jerry A Nick; Jung-Sook Lee; Nalin Rastogi; David Couvin; Raquel Hurtado-Ortiz; Chantal Bizet; Anita Suresh; Timothy Rodwell; Audrey Albertini; Karen A Lacourciere; Ana Deheer-Graham; Sarah Alexander; Julie E Russell; Rebecca Bradford; Marco A Riojas
Journal:  Pathog Dis       Date:  2018-06-01       Impact factor: 3.166

2.  Identification and Characterization of Mycobacterial Species Using Whole-Genome Sequences.

Authors:  Marco A Riojas; Andrew M Frank; Samuel R Greenfield; Stephen P King; Conor J Meehan; Michael Strong; Alice R Wattam; Manzour Hernando Hazbón
Journal:  Methods Mol Biol       Date:  2021

3.  Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families.

Authors:  David Couvin; Wilfried Segretier; Erick Stattner; Nalin Rastogi
Journal:  Database (Oxford)       Date:  2020-12-15       Impact factor: 3.451

4.  Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand.

Authors:  Marian Price-Carter; Rudiger Brauning; Geoffrey W de Lisle; Paul Livingstone; Mark Neill; Jane Sinclair; Brent Paterson; Gillian Atkinson; Garry Knowles; Kevin Crews; Joseph Crispell; Rowland Kao; Suelee Robbe-Austerman; Tod Stuber; Julian Parkhill; James Wood; Simon Harris; Desmond M Collins
Journal:  Front Vet Sci       Date:  2018-10-30

5.  First approach to the population structure of Mycobacterium tuberculosis complex in the indigenous population in Puerto Nariño-Amazonas, Colombia.

Authors:  Alejandro Vega Marín; Nalin Rastogi; David Couvin; Viviana Mape; Martha Isabel Murcia
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.