Literature DB >> 21737580

Metagenomic analysis of bacterial infections by means of high-throughput DNA sequencing.

Shota Nakamura1, Takaaki Nakaya, Tetsuya Iida.   

Abstract

DNA sequencing technology has undergone a remarkable and continuous improvement in recent years. The so-called 'high-throughput DNA sequencers' can determine hundreds of megabases of DNA sequences per run. We have been applying these new sequencers to the analysis of infectious diseases, especially bacterial infections. We review the efficacy of these sequencers, mainly based on our own experiences. The approach described here can be viewed as a metagenomic analysis of infectious diseases. The approach is in principle a method that does not depend on the type of target pathogens, so that it is possible to analyze various microorganisms, including bacteria, viruses, fungi and parasites, with a single common protocol. Applying this novel approach to cases in which infectious diseases are suspected because of environmental evidence, but the causative agent has not been identified, may lead to the discovery of unknown, novel pathogens. Also, the approach enables us to conduct an unbiased analysis of dynamics of the pathogen and associated microbiota in human specimens during the course of infectious diseases.

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Year:  2011        PMID: 21737580     DOI: 10.1258/ebm.2011.010378

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  14 in total

1.  An ultra-deep sequencing strategy to detect sub-clonal TP53 mutations in presentation chronic lymphocytic leukaemia cases using multiple polymerases.

Authors:  L Worrillow; P Baskaran; M A Care; A Varghese; T Munir; P A Evans; S J O'Connor; A Rawstron; L Hazelwood; R M Tooze; P Hillmen; D J Newton
Journal:  Oncogene       Date:  2016-04-04       Impact factor: 9.867

2.  Pathogen-specific local immune fingerprints diagnose bacterial infection in peritoneal dialysis patients.

Authors:  Chan-Yu Lin; Gareth W Roberts; Ann Kift-Morgan; Kieron L Donovan; Nicholas Topley; Matthias Eberl
Journal:  J Am Soc Nephrol       Date:  2013-10-31       Impact factor: 10.121

3.  Frequency of D222G and Q223R hemagglutinin mutants of pandemic (H1N1) 2009 influenza virus in Japan between 2009 and 2010.

Authors:  Mayo Yasugi; Shota Nakamura; Tomo Daidoji; Norihito Kawashita; Ririn Ramadhany; Cheng-Song Yang; Teruo Yasunaga; Tetsuya Iida; Toshihiro Horii; Kazuyoshi Ikuta; Kazuo Takahashi; Takaaki Nakaya
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

4.  Next generation sequencing uncovers unexpected bacterial pathogens in ticks in western Europe.

Authors:  Muriel Vayssier-Taussat; Sara Moutailler; Lorraine Michelet; Elodie Devillers; Sarah Bonnet; Justine Cheval; Charles Hébert; Marc Eloit
Journal:  PLoS One       Date:  2013-11-27       Impact factor: 3.240

5.  Exploring bacterial diversity in hospital environments by GS-FLX Titanium pyrosequencing.

Authors:  Margarita Poza; Carmen Gayoso; Manuel J Gómez; Soraya Rumbo-Feal; María Tomás; Jesús Aranda; Ana Fernández; Germán Bou
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

6.  Metagenomic detection of viral pathogens in Spanish honeybees: co-infection by Aphid Lethal Paralysis, Israel Acute Paralysis and Lake Sinai Viruses.

Authors:  Fredrik Granberg; Marina Vicente-Rubiano; Consuelo Rubio-Guerri; Oskar E Karlsson; Deborah Kukielka; Sándor Belák; José Manuel Sánchez-Vizcaíno
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

7.  Genome sequence and analysis of Lactobacillus helveticus.

Authors:  Paola Cremonesi; Stefania Chessa; Bianca Castiglioni
Journal:  Front Microbiol       Date:  2013-01-11       Impact factor: 5.640

8.  Metagenomic detection of viruses in aerosol samples from workers in animal slaughterhouses.

Authors:  Richard J Hall; Mily Leblanc-Maridor; Jing Wang; Xiaoyun Ren; Nicole E Moore; Collin R Brooks; Matthew Peacey; Jeroen Douwes; David J McLean
Journal:  PLoS One       Date:  2013-08-14       Impact factor: 3.240

9.  The potential of metatranscriptomics for identifying screening targets for bacterial vaginosis.

Authors:  Jimmy Twin; Catriona S Bradshaw; Suzanne M Garland; Christopher K Fairley; Katherine Fethers; Sepehr N Tabrizi
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

10.  Microbial genomic taxonomy.

Authors:  Cristiane C Thompson; Luciane Chimetto; Robert A Edwards; Jean Swings; Erko Stackebrandt; Fabiano L Thompson
Journal:  BMC Genomics       Date:  2013-12-23       Impact factor: 3.969

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