Cargando…
MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota
MALDI-TOF MS is well-recognized for single microbial identification and widely used in research and clinical fields due to its specificity, speed of analysis, and low cost of consumables. Multiple commercial platforms have been developed and approved by the U.S. Food and Drug Administration. Matrix-...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269913/ https://www.ncbi.nlm.nih.gov/pubmed/37140390 http://dx.doi.org/10.1128/spectrum.00307-23 |
_version_ | 1785059279526428672 |
---|---|
author | Chen, Liangqiang Gao, Wenjing Tan, Xue Han, Ying Jiao, Fu Feng, Bin Xie, Jinghang Li, Bin Zhao, Huilin Tu, Huabin Yu, Shaoning Wang, Li |
author_facet | Chen, Liangqiang Gao, Wenjing Tan, Xue Han, Ying Jiao, Fu Feng, Bin Xie, Jinghang Li, Bin Zhao, Huilin Tu, Huabin Yu, Shaoning Wang, Li |
author_sort | Chen, Liangqiang |
collection | PubMed |
description | MALDI-TOF MS is well-recognized for single microbial identification and widely used in research and clinical fields due to its specificity, speed of analysis, and low cost of consumables. Multiple commercial platforms have been developed and approved by the U.S. Food and Drug Administration. Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) has been used for microbial identification. However, microbes can present as a specific microbiota, and detection and classification remain a challenge. Here, we constructed several specific microbiotas and tried to classify them using MALDI-TOF MS. Different concentrations of nine bacterial strains (belonging to eight genera) constituted 20 specific microbiotas. Using MALDI-TOF MS, the overlap spectrum of each microbiota (MS spectra of nine bacterial strains with component percentages) could be classified by hierarchical clustering analysis (HCA). However, the real MS spectrum of a specific microbiota was different than that of the overlap spectrum of component bacteria. The MS spectra of specific microbiota showed excellent repeatability and were easier to classify by HCA, with an accuracy close to 90%. These results indicate that the widely used MALDI-TOF MS identification method for individual bacteria can be expanded to classification of microbiota. IMPORTANCE MALDI-TOF MS can be used to classify specific model microbiota. The actual MS spectrum of the model microbiota was not a simple superposition of every single bacterium in a certain proportion but had a specific spectral fingerprint. The specificity of this fingerprint can enhance the accuracy of microbiota classification. |
format | Online Article Text |
id | pubmed-10269913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-102699132023-06-16 MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota Chen, Liangqiang Gao, Wenjing Tan, Xue Han, Ying Jiao, Fu Feng, Bin Xie, Jinghang Li, Bin Zhao, Huilin Tu, Huabin Yu, Shaoning Wang, Li Microbiol Spectr Research Article MALDI-TOF MS is well-recognized for single microbial identification and widely used in research and clinical fields due to its specificity, speed of analysis, and low cost of consumables. Multiple commercial platforms have been developed and approved by the U.S. Food and Drug Administration. Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) has been used for microbial identification. However, microbes can present as a specific microbiota, and detection and classification remain a challenge. Here, we constructed several specific microbiotas and tried to classify them using MALDI-TOF MS. Different concentrations of nine bacterial strains (belonging to eight genera) constituted 20 specific microbiotas. Using MALDI-TOF MS, the overlap spectrum of each microbiota (MS spectra of nine bacterial strains with component percentages) could be classified by hierarchical clustering analysis (HCA). However, the real MS spectrum of a specific microbiota was different than that of the overlap spectrum of component bacteria. The MS spectra of specific microbiota showed excellent repeatability and were easier to classify by HCA, with an accuracy close to 90%. These results indicate that the widely used MALDI-TOF MS identification method for individual bacteria can be expanded to classification of microbiota. IMPORTANCE MALDI-TOF MS can be used to classify specific model microbiota. The actual MS spectrum of the model microbiota was not a simple superposition of every single bacterium in a certain proportion but had a specific spectral fingerprint. The specificity of this fingerprint can enhance the accuracy of microbiota classification. American Society for Microbiology 2023-05-04 /pmc/articles/PMC10269913/ /pubmed/37140390 http://dx.doi.org/10.1128/spectrum.00307-23 Text en Copyright © 2023 Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Chen, Liangqiang Gao, Wenjing Tan, Xue Han, Ying Jiao, Fu Feng, Bin Xie, Jinghang Li, Bin Zhao, Huilin Tu, Huabin Yu, Shaoning Wang, Li MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title | MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title_full | MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title_fullStr | MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title_full_unstemmed | MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title_short | MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota |
title_sort | maldi-tof ms is an effective technique to classify specific microbiota |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269913/ https://www.ncbi.nlm.nih.gov/pubmed/37140390 http://dx.doi.org/10.1128/spectrum.00307-23 |
work_keys_str_mv | AT chenliangqiang malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT gaowenjing malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT tanxue malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT hanying malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT jiaofu malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT fengbin malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT xiejinghang malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT libin malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT zhaohuilin malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT tuhuabin malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT yushaoning malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota AT wangli malditofmsisaneffectivetechniquetoclassifyspecificmicrobiota |