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An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri
Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) is a broadly used technique for identification and typing of microorganisms. However, its application to filamentous fungi has been delayed. The objective of this study was to establish a data library for rap...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Mycological Society of Japan
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721511/ https://www.ncbi.nlm.nih.gov/pubmed/37092173 http://dx.doi.org/10.47371/mycosci.2021.03.004 |
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author | Ban, Sayaka Kasaishi, Rieko Kamijo, Tomoaki Noritake, Chiaki Kawasaki, Hiroko |
author_facet | Ban, Sayaka Kasaishi, Rieko Kamijo, Tomoaki Noritake, Chiaki Kawasaki, Hiroko |
author_sort | Ban, Sayaka |
collection | PubMed |
description | Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) is a broadly used technique for identification and typing of microorganisms. However, its application to filamentous fungi has been delayed. The objective of this study was to establish a data library for rapid identification of the genus Aspergillus sect. Nigri using MALDI-TOF MS. With respect to sample preparation, we compared the utility of using mature mycelia, including conidial structures, to accumulate a wider range of proteins versus the conventional method relying on young hyphae. Mass spectral datasets obtained for 61 strains of 17 species were subjected to cluster analysis and compared with a phylogenetic tree based on calmodulin gene sequences. Specific and frequent mass spectral peaks corresponding to each phylogenetic group were selected (superspectra for the SARAMIS system). Fifteen superspectra representing nine species were ultimately created. The percentage of correct identification for 217 spectra was improved from 36.41% to 86.64% using the revised library. Additionally, 2.76% of the spectra were assigned to candidates that comprised several related species, including the correct species. |
format | Online Article Text |
id | pubmed-9721511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Mycological Society of Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-97215112023-04-20 An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri Ban, Sayaka Kasaishi, Rieko Kamijo, Tomoaki Noritake, Chiaki Kawasaki, Hiroko Mycoscience Full Paper Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) is a broadly used technique for identification and typing of microorganisms. However, its application to filamentous fungi has been delayed. The objective of this study was to establish a data library for rapid identification of the genus Aspergillus sect. Nigri using MALDI-TOF MS. With respect to sample preparation, we compared the utility of using mature mycelia, including conidial structures, to accumulate a wider range of proteins versus the conventional method relying on young hyphae. Mass spectral datasets obtained for 61 strains of 17 species were subjected to cluster analysis and compared with a phylogenetic tree based on calmodulin gene sequences. Specific and frequent mass spectral peaks corresponding to each phylogenetic group were selected (superspectra for the SARAMIS system). Fifteen superspectra representing nine species were ultimately created. The percentage of correct identification for 217 spectra was improved from 36.41% to 86.64% using the revised library. Additionally, 2.76% of the spectra were assigned to candidates that comprised several related species, including the correct species. The Mycological Society of Japan 2021-07-20 /pmc/articles/PMC9721511/ /pubmed/37092173 http://dx.doi.org/10.47371/mycosci.2021.03.004 Text en 2021, by The Mycological Society of Japan https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access paper distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivative 4.0 international license (CC BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Paper Ban, Sayaka Kasaishi, Rieko Kamijo, Tomoaki Noritake, Chiaki Kawasaki, Hiroko An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title | An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title_full | An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title_fullStr | An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title_full_unstemmed | An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title_short | An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri |
title_sort | exploratory maldi-tof ms library based on saramis superspectra for rapid identification of aspergillus section nigri |
topic | Full Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721511/ https://www.ncbi.nlm.nih.gov/pubmed/37092173 http://dx.doi.org/10.47371/mycosci.2021.03.004 |
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