| Literature DB >> 25802363 |
Laszlo Irinyi1, Carolina Serena2, Dea Garcia-Hermoso3, Michael Arabatzis4, Marie Desnos-Ollivier3, Duong Vu5, Gianluigi Cardinali6, Ian Arthur7, Anne-Cécile Normand8, Alejandra Giraldo9, Keith Cassia da Cunha9, Marcelo Sandoval-Denis9, Marijke Hendrickx10, Angela Satie Nishikaku11, Analy Salles de Azevedo Melo11, Karina Bellinghausen Merseguel11, Aziza Khan1, Juliana Alves Parente Rocha12, Paula Sampaio13, Marcelo Ribeiro da Silva Briones14, Renata Carmona e Ferreira14, Mauro de Medeiros Muniz15, Laura Rosio Castañón-Olivares16, Daniel Estrada-Barcenas16, Carole Cassagne8, Charles Mary8, Shu Yao Duan1, Fanrong Kong17, Annie Ying Sun18, Xianyu Zeng17, Zuotao Zhao17, Nausicaa Gantois19, Françoise Botterel20, Barbara Robbertse21, Conrad Schoch21, Walter Gams5, David Ellis22, Catriona Halliday17, Sharon Chen23, Tania C Sorrell1, Renaud Piarroux8, Arnaldo L Colombo11, Célia Pais13, Sybren de Hoog5, Rosely Maria Zancopé-Oliveira15, Maria Lucia Taylor16, Conchita Toriello16, Célia Maria de Almeida Soares12, Laurence Delhaes19, Dirk Stubbe10, Françoise Dromer3, Stéphane Ranque8, Josep Guarro9, Jose F Cano-Lira9, Vincent Robert5, Aristea Velegraki4, Wieland Meyer24.
Abstract
Human and animal fungal pathogens are a growing threat worldwide leading to emerging infections and creating new risks for established ones. There is a growing need for a rapid and accurate identification of pathogens to enable early diagnosis and targeted antifungal therapy. Morphological and biochemical identification methods are time-consuming and require trained experts. Alternatively, molecular methods, such as DNA barcoding, a powerful and easy tool for rapid monophasic identification, offer a practical approach for species identification and less demanding in terms of taxonomical expertise. However, its wide-spread use is still limited by a lack of quality-controlled reference databases and the evolving recognition and definition of new fungal species/complexes. An international consortium of medical mycology laboratories was formed aiming to establish a quality controlled ITS database under the umbrella of the ISHAM working group on "DNA barcoding of human and animal pathogenic fungi." A new database, containing 2800 ITS sequences representing 421 fungal species, providing the medical community with a freely accessible tool at http://www.isham.org/ and http://its.mycologylab.org/ to rapidly and reliably identify most agents of mycoses, was established. The generated sequences included in the new database were used to evaluate the variation and overall utility of the ITS region for the identification of pathogenic fungi at intra-and interspecies level. The average intraspecies variation ranged from 0 to 2.25%. This highlighted selected pathogenic fungal species, such as the dermatophytes and emerging yeast, for which additional molecular methods/genetic markers are required for their reliable identification from clinical and veterinary specimens.Entities:
Keywords: DNA barcoding; ITS region; fungal identification; intraspecies/interspecies genetic diversity; reference ITS database
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Year: 2015 PMID: 25802363 DOI: 10.1093/mmy/myv008
Source DB: PubMed Journal: Med Mycol ISSN: 1369-3786 Impact factor: 4.076