Abdullah M S Al-Hatmi1,2,3, Anne-Cécile Normand4, Anne D van Diepeningen1, Marijke Hendrickx5, G Sybren de Hoog1,2,6,7,8, Renaud Piarroux4. 1. CBS-KNAW Fungal Biodiversity Centre, Utrecht, The Netherlands. 2. Institute of Biodiversity & Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands. 3. Directorate General of Health Services, Ministry of Health, Ibri Hospital, Ibri, Oman. 4. Laboratoire de Parasitologie-Mycologie, CHU Timone, Université de la Méditerranée, Marseille, France. 5. BCCM/IHEM: Scientific Institute of Public Health, Mycology & Aerobiology Section, Bruxelles, Belgium. 6. Peking University Health Science Center, Research Center for Medical Mycology, Beijing, China. 7. Shanghai Institute of Medical Mycology, Changzheng Hospital, Second Military Medical University, Shanghai, China. 8. King Abdulaziz University, Jeddah, Saudi Arabia.
Abstract
AIM: To develop the matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF MS) method for identification of Fusarium species within Fusarium fujikuroi complex for use in clinical microbiology laboratories. MATERIALS & METHODS: A total of 24 reference and 60 clinical and environmental isolates belonging to the F. fujikuroi complex were subjected to MALDI-TOF MS identification. Protein extracts of Fusarium isolates were obtained using formic acid extraction. Multilocus sequence analysis was used as a gold standard. RESULTS: The MALDI-TOF MS Biotyper correctly identified 93.6% of the strains down to the species level, while the remaining isolates (6.4%) were identified at the genus level when using scores of ≥ 2.0 as cut-off values. Correct identification was obtained despite large intraspecific heterogeneities in MALDI-TOF spectra. CONCLUSION: MALDI-TOF MS is a rapid identification tool for the recognition of species within F. fujikuroi complex, provided a database is available.
AIM: To develop the matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF MS) method for identification of Fusarium species within Fusarium fujikuroi complex for use in clinical microbiology laboratories. MATERIALS & METHODS: A total of 24 reference and 60 clinical and environmental isolates belonging to the F. fujikuroi complex were subjected to MALDI-TOF MS identification. Protein extracts of Fusarium isolates were obtained using formic acid extraction. Multilocus sequence analysis was used as a gold standard. RESULTS: The MALDI-TOF MS Biotyper correctly identified 93.6% of the strains down to the species level, while the remaining isolates (6.4%) were identified at the genus level when using scores of ≥ 2.0 as cut-off values. Correct identification was obtained despite large intraspecific heterogeneities in MALDI-TOF spectra. CONCLUSION: MALDI-TOF MS is a rapid identification tool for the recognition of species within F. fujikuroi complex, provided a database is available.
Authors: A C Normand; P Becker; F Gabriel; C Cassagne; I Accoceberry; M Gari-Toussaint; L Hasseine; D De Geyter; D Pierard; I Surmont; F Djenad; J L Donnadieu; M Piarroux; S Ranque; M Hendrickx; R Piarroux Journal: J Clin Microbiol Date: 2017-06-21 Impact factor: 5.948
Authors: Abdullah M S Al-Hatmi; Anne-Cécile Normand; Stephane Ranque; Renaud Piarroux; G Sybren de Hoog; Joseph Meletiadis; Jacques F Meis Journal: Antimicrob Agents Chemother Date: 2016-12-27 Impact factor: 5.191
Authors: Hazal Boral; Anne van Diepeningen; Elif Erdem; Meltem Yağmur; G Sybren de Hoog; Macit Ilkit; Jacques F Meis; Abdullah M S Al-Hatmi Journal: Mycopathologia Date: 2018-06-21 Impact factor: 2.574
Authors: Abdullah Ms Al-Hatmi; Ferry Hagen; Steph Bj Menken; Jacques F Meis; G Sybren de Hoog Journal: Emerg Microbes Infect Date: 2016-12-07 Impact factor: 7.163
Authors: Tarek A A Moussa; Hassan S Al-Zahrani; Naif M S Kadasa; Sarah A Ahmed; G Sybren de Hoog; Abdullah M S Al-Hatmi Journal: Antonie Van Leeuwenhoek Date: 2017-03-16 Impact factor: 2.271