Literature DB >> 14960763

Fungal molecular diagnostics: a mini review.

Simon D Atkins1, Ian M Clark.   

Abstract

Conventional methods to identify fungi have often relied on identification of disease symptoms, isolation and culturing of environmental organisms, and laboratory identification by morphology and biochemical tests. Although these methods are still fundamental there is an increasing move towards molecular diagnostics of fungi in all fields. In this review, some of the molecular approaches to fungal diagnostics based on polymerase chain reaction (PCR) and DNA/RNA probe technology are discussed. This includes several technological advances in PCR-based methods for the detection, identification and quantification of fungi including real-time PCR which has been successfully used to provide rapid, quantitative data on fungal species from environmental samples. PCR and probe based methods have provided new tools for the enumeration of fungal species, but it is still necessary to combine the new technology with more conventional methods to gain a fuller understanding of interactions occurring in the environment. Since its introduction in the mid 1980's PCR has provided many molecular diagnostic tools, some of which are discussed within this review, and with the advances in micro-array technology and real-time PCR methods the future is bright for the development of accurate, quantitative diagnostic tools that can provide information not only on individual fungal species but also on whole communities.

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Year:  2004        PMID: 14960763

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  24 in total

1.  Assessment of soil fungal communities using pyrosequencing.

Authors:  Young Woon Lim; Byung Kwon Kim; Changmu Kim; Hack Sung Jung; Bong-Soo Kim; Jae-Hak Lee; Jongsik Chun
Journal:  J Microbiol       Date:  2010-06-23       Impact factor: 3.422

2.  Sequence-based identification of filamentous basidiomycetous fungi from clinical specimens: a cautionary note.

Authors:  Anna M Romanelli; Deanna A Sutton; Elizabeth H Thompson; Michael G Rinaldi; Brian L Wickes
Journal:  J Clin Microbiol       Date:  2009-12-30       Impact factor: 5.948

3.  Use of a suspension array for rapid identification of the varieties and genotypes of the Cryptococcus neoformans species complex.

Authors:  Mara R Diaz; Jack W Fell
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

4.  Primers for clinical detection of Paracoccidioides brasiliensis.

Authors:  Gioconda San-Blas; Gustavo Niño-Vega; Laura Barreto; Flavia Hebeler-Barbosa; Eduardo Bagagli; Rosa Olivero de Briceño; Rinaldo Poncio Mendes
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

5.  Evaluation of VITEK 2 and RapID yeast plus systems for yeast species identification: experience at a large clinical microbiology laboratory.

Authors:  Maurizio Sanguinetti; Rosaria Porta; Michela Sali; Marilena La Sorda; Giovanni Pecorini; Giovanni Fadda; Brunella Posteraro
Journal:  J Clin Microbiol       Date:  2007-02-07       Impact factor: 5.948

Review 6.  Advances in Candida detection platforms for clinical and point-of-care applications.

Authors:  Mohammadali Safavieh; Chad Coarsey; Nwadiuto Esiobu; Adnan Memic; Jatin Mahesh Vyas; Hadi Shafiee; Waseem Asghar
Journal:  Crit Rev Biotechnol       Date:  2016-04-19       Impact factor: 8.429

7.  Cryptococcus neoformans, Cryptococcus gattii: serotypes in Venezuela.

Authors:  C Pérez; M Dolande; M Moya; A Roselló; Claudia R Hartung de Capriles; M E Landaeta; S Mata-Essayag
Journal:  Mycopathologia       Date:  2008-05-30       Impact factor: 2.574

8.  Differential detection of potentially hazardous Fusarium species in wheat grains by an electronic nose.

Authors:  Jakob Eifler; Eugenio Martinelli; Marco Santonico; Rosamaria Capuano; Detlev Schild; Corrado Di Natale
Journal:  PLoS One       Date:  2011-06-09       Impact factor: 3.240

9.  Identification of clinical mold isolates by sequence analysis of the internal transcribed spacer region, ribosomal large-subunit D1/D2, and β-tubulin.

Authors:  Ja-Hyun Jang; Jang Ho Lee; Chang-Seok Ki; Nam Yong Lee
Journal:  Ann Lab Med       Date:  2012-02-23       Impact factor: 3.464

10.  Plant and fungal diversity in gut microbiota as revealed by molecular and culture investigations.

Authors:  Nina Gouba; Didier Raoult; Michel Drancourt
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

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