The Experts below are selected from a list of 63 Experts worldwide ranked by ideXlab platform
Wieland Meyer - One of the best experts on this subject based on the ideXlab platform.
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Online databases for taxonomy and identification of Pathogenic Fungi and proposal for a cloud-based dynamic data network platform
Journal of Clinical Microbiology, 2017Co-Authors: Peralam Yegneswaran Prakash, C. Halliday, Sharon Chen, Laszlo Irinyi, Vincent Robert, Wieland MeyerAbstract:The increase in public online databases dedicated to fungal identification is noteworthy. This can be attributed to improved access to molecular approaches to characterize Fungi, as well as to delineate species within specific fungal groups in the last 2 decades, leading to an ever-increasing complexity of taxonomic assortments and nomenclatural reassignments. Thus, well-curated fungal databases with substantial accurate sequence data play a pivotal role for further research and diagnostics in the field of mycology. This minireview aims to provide an overview of currently available online databases for the taxonomy and identification of human and Animal-Pathogenic Fungi and calls for the establishment of a cloud-based dynamic data network platform.
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DNA barcoding of Fungi causing infections in humans and Animals
Fungal Biology, 2015Co-Authors: Laszlo Irinyi, Michaela Lackner, G. Sybren De Hoog, Wieland MeyerAbstract:Correct species identification is becoming increasingly important in clinical diagnostics. Till now, many mycological laboratories rely on conventional phenotypic identification. But this is slow and strongly operator-dependent. Therefore, to improve the quality of pathogen identification, rapid, reliable, and objective identification methods are essential. One of the most encouraging approaches is molecular barcoding using the internal transcribed spacer (ITS) of the rDNA, which is rapid, easily achievable, accurate, and applicable directly from clinical specimens. It relies on the comparison of a single ITS sequence with a curated reference database. The International Society for Human and Animal Mycology (ISHAM) working group for DNA barcoding has recently established such a database, focusing on the majority of human and Animal Pathogenic Fungi (ISHAM-ITS, freely accessible at http://www.isham.org/ or directly from http://its.mycologylab.org). For some Fungi the use of secondary barcodes may be necessary.
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dna barcoding of human and Animal Pathogenic Fungi the isham its database
Microbiology Australia, 2015Co-Authors: Laszlo Irinyi, Wieland MeyerAbstract:Molecular Mycology ResearchLaboratory, Centre for InfectiousDiseases and Microbiology, SydneyMedicalSchool–WestmeadHospitalMarie Bashir Institute for InfectiousDiseases and BiosecurityThe University of SydneyWestmead Millennium Institute176 Hawkesbury Road, WestmeadSydney, NSW 2145, AustraliaTel: +61 2 8627 3430Fax: +61 2 9891 5317Email: wieland.meyer@sydney.edu.au
Laszlo Irinyi - One of the best experts on this subject based on the ideXlab platform.
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Online databases for taxonomy and identification of Pathogenic Fungi and proposal for a cloud-based dynamic data network platform
Journal of Clinical Microbiology, 2017Co-Authors: Peralam Yegneswaran Prakash, C. Halliday, Sharon Chen, Laszlo Irinyi, Vincent Robert, Wieland MeyerAbstract:The increase in public online databases dedicated to fungal identification is noteworthy. This can be attributed to improved access to molecular approaches to characterize Fungi, as well as to delineate species within specific fungal groups in the last 2 decades, leading to an ever-increasing complexity of taxonomic assortments and nomenclatural reassignments. Thus, well-curated fungal databases with substantial accurate sequence data play a pivotal role for further research and diagnostics in the field of mycology. This minireview aims to provide an overview of currently available online databases for the taxonomy and identification of human and Animal-Pathogenic Fungi and calls for the establishment of a cloud-based dynamic data network platform.
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international society of human and Animal mycology isham its reference dna barcoding database the quality controlled standard tool for routine identification of human and Animal Pathogenic Fungi
Medical Mycology, 2015Co-Authors: Laszlo Irinyi, Carolina Serena, Dea Garciahermoso, Michael Arabatzis, Marie Desnosollivier, D Vu, Gianluigi Cardinali, Ian Arthur, Annececile Normand, Alejandra GiraldoAbstract:This study was supported by an National Health and Medical Research Council of Australia (NHM CNPq [350338/2000-0] and FAPERJ [E-26/103.157/2011] grants to RM Zancope-Oliveira; CNPq [308011/2010-4] and FAPESP [2007/08575-1] Fundacao de Amparo Pesquisa do Estado de So Paulo (FAPESP) grants to AL Colombo; PEst-OE/BIA/UI4050/2014 from Fundacao para a Ciencia e Tecnologia (FCT) to C Pais; the Belgian Science Policy Office (Belspo) to BCCM/IHEM; the MEXBOL program of CONACyT-Mexico, [ref. number: 1228961 to ML Taylor and [122481] to C Toriello; the Institut Pasteur and Institut de Veil le Sanitaire to F Dromer and D Garcia-Hermoso; and the grants from the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) and the Fundacao de Amparo a Pesquisa do Estado de Goias (FAPEG) to CM de Almeida Soares and JA Parente Rocha. I Arthur would like to thank G Cherian, A Higgins and the staff of the Molecular Diagnostics Laboratory, Division of Microbiology and Infectious Diseases, Path West, QEII Medial Centre. Dromer would like to thank for the technical help of the sequencing facility and specifically that of I, Diancourt, A-S Delannoy-Vieillard, J-M Thiberge (Genotyping of Pathogens and Public Health, Institut Pasteur). RM Zancope-Oliveira would like to thank the Genomic/DNA Sequencing Platform at Fundacao Oswaldo Cruz-PDTIS/FIOCRUZ [RPT01A], Brazil for the sequencing. B Robbertse and CL Schoch acknowledge support from the Intramural Research Program of the NIH, National Library of Medicine. T Sorrell's work is funded by the NHM she is a Sydney Medical School Foundation Fellow.
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DNA barcoding of Fungi causing infections in humans and Animals
Fungal Biology, 2015Co-Authors: Laszlo Irinyi, Michaela Lackner, G. Sybren De Hoog, Wieland MeyerAbstract:Correct species identification is becoming increasingly important in clinical diagnostics. Till now, many mycological laboratories rely on conventional phenotypic identification. But this is slow and strongly operator-dependent. Therefore, to improve the quality of pathogen identification, rapid, reliable, and objective identification methods are essential. One of the most encouraging approaches is molecular barcoding using the internal transcribed spacer (ITS) of the rDNA, which is rapid, easily achievable, accurate, and applicable directly from clinical specimens. It relies on the comparison of a single ITS sequence with a curated reference database. The International Society for Human and Animal Mycology (ISHAM) working group for DNA barcoding has recently established such a database, focusing on the majority of human and Animal Pathogenic Fungi (ISHAM-ITS, freely accessible at http://www.isham.org/ or directly from http://its.mycologylab.org). For some Fungi the use of secondary barcodes may be necessary.
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dna barcoding of human and Animal Pathogenic Fungi the isham its database
Microbiology Australia, 2015Co-Authors: Laszlo Irinyi, Wieland MeyerAbstract:Molecular Mycology ResearchLaboratory, Centre for InfectiousDiseases and Microbiology, SydneyMedicalSchool–WestmeadHospitalMarie Bashir Institute for InfectiousDiseases and BiosecurityThe University of SydneyWestmead Millennium Institute176 Hawkesbury Road, WestmeadSydney, NSW 2145, AustraliaTel: +61 2 8627 3430Fax: +61 2 9891 5317Email: wieland.meyer@sydney.edu.au
Alejandra Giraldo - One of the best experts on this subject based on the ideXlab platform.
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international society of human and Animal mycology isham its reference dna barcoding database the quality controlled standard tool for routine identification of human and Animal Pathogenic Fungi
Medical Mycology, 2015Co-Authors: Laszlo Irinyi, Carolina Serena, Dea Garciahermoso, Michael Arabatzis, Marie Desnosollivier, D Vu, Gianluigi Cardinali, Ian Arthur, Annececile Normand, Alejandra GiraldoAbstract:This study was supported by an National Health and Medical Research Council of Australia (NHM CNPq [350338/2000-0] and FAPERJ [E-26/103.157/2011] grants to RM Zancope-Oliveira; CNPq [308011/2010-4] and FAPESP [2007/08575-1] Fundacao de Amparo Pesquisa do Estado de So Paulo (FAPESP) grants to AL Colombo; PEst-OE/BIA/UI4050/2014 from Fundacao para a Ciencia e Tecnologia (FCT) to C Pais; the Belgian Science Policy Office (Belspo) to BCCM/IHEM; the MEXBOL program of CONACyT-Mexico, [ref. number: 1228961 to ML Taylor and [122481] to C Toriello; the Institut Pasteur and Institut de Veil le Sanitaire to F Dromer and D Garcia-Hermoso; and the grants from the Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) and the Fundacao de Amparo a Pesquisa do Estado de Goias (FAPEG) to CM de Almeida Soares and JA Parente Rocha. I Arthur would like to thank G Cherian, A Higgins and the staff of the Molecular Diagnostics Laboratory, Division of Microbiology and Infectious Diseases, Path West, QEII Medial Centre. Dromer would like to thank for the technical help of the sequencing facility and specifically that of I, Diancourt, A-S Delannoy-Vieillard, J-M Thiberge (Genotyping of Pathogens and Public Health, Institut Pasteur). RM Zancope-Oliveira would like to thank the Genomic/DNA Sequencing Platform at Fundacao Oswaldo Cruz-PDTIS/FIOCRUZ [RPT01A], Brazil for the sequencing. B Robbertse and CL Schoch acknowledge support from the Intramural Research Program of the NIH, National Library of Medicine. T Sorrell's work is funded by the NHM she is a Sydney Medical School Foundation Fellow.
Robert H A Coutts - One of the best experts on this subject based on the ideXlab platform.
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multiplex detection of aspergillus fumigatus mycoviruses
Viruses, 2018Co-Authors: Selin Ozkankotiloglu, Robert H A CouttsAbstract:Mycoviruses are viruses that naturally infect and replicate in Fungi. They are widespread in all major fungal groups including plant and Animal Pathogenic Fungi. Several dsRNA mycoviruses have been reported in Aspergillus fumigatus. Multiplex polymerase chain reaction (PCR) amplification is a version of PCR that enables amplification of different targets simultaneously. This technique has been widely used for detection and differentiation of viruses especially plant viruses such as those which infect tobacco, potato and garlic. For rapid detection, multiplex RT-PCR was developed to screen new isolates for the presence of A. fumigatus mycoviruses. Aspergillus fumigatus chrysovirus (AfuCV), Aspergillus fumigatus partitivirus (AfuPV-1), and Aspergillus fumigatus tetramycovirus-1 (AfuTmV-1) dsRNAs were amplified in separate reactions using a mixture of multiplex primer pairs. It was demonstrated that in the presence of a single infection, primer pair mixtures only amplify the corresponding single virus infection. Mixed infections using dual or triple combinations of dsRNA viruses were also amplified simultaneously using multiplex RT-PCR. Up until now, methods for the rapid detection of Aspergillus mycoviruses have been restricted to small scale dsRNA extraction approaches which are laborious and for large numbers of samples not as sensitive as RT-PCR. The multiplex RT-PCR assay developed here will be useful for studies on determining the incidence of A. fumigatus mycoviruses. This is the first report on multiplex detection of A. fumigatus mycoviruses.
Peralam Yegneswaran Prakash - One of the best experts on this subject based on the ideXlab platform.
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Online databases for taxonomy and identification of Pathogenic Fungi and proposal for a cloud-based dynamic data network platform
Journal of Clinical Microbiology, 2017Co-Authors: Peralam Yegneswaran Prakash, C. Halliday, Sharon Chen, Laszlo Irinyi, Vincent Robert, Wieland MeyerAbstract:The increase in public online databases dedicated to fungal identification is noteworthy. This can be attributed to improved access to molecular approaches to characterize Fungi, as well as to delineate species within specific fungal groups in the last 2 decades, leading to an ever-increasing complexity of taxonomic assortments and nomenclatural reassignments. Thus, well-curated fungal databases with substantial accurate sequence data play a pivotal role for further research and diagnostics in the field of mycology. This minireview aims to provide an overview of currently available online databases for the taxonomy and identification of human and Animal-Pathogenic Fungi and calls for the establishment of a cloud-based dynamic data network platform.
