MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota
ABSTRACT 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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Society for Microbiology
2023-06-01
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| Series: | Microbiology Spectrum |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/spectrum.00307-23 |
| _version_ | 1797803380760903680 |
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| author | Liangqiang Chen Wenjing Gao Xue Tan Ying Han Fu Jiao Bin Feng Jinghang Xie Bin Li Huilin Zhao Huabin Tu Shaoning Yu Li Wang |
| author_facet | Liangqiang Chen Wenjing Gao Xue Tan Ying Han Fu Jiao Bin Feng Jinghang Xie Bin Li Huilin Zhao Huabin Tu Shaoning Yu Li Wang |
| author_sort | Liangqiang Chen |
| collection | DOAJ |
| description | ABSTRACT 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. |
| first_indexed | 2024-03-13T05:19:58Z |
| format | Article |
| id | doaj.art-36022176593c46368596ca0de101f274 |
| institution | Directory Open Access Journal |
| issn | 2165-0497 |
| language | English |
| last_indexed | 2024-03-13T05:19:58Z |
| publishDate | 2023-06-01 |
| publisher | American Society for Microbiology |
| record_format | Article |
| series | Microbiology Spectrum |
| spelling | doaj.art-36022176593c46368596ca0de101f2742023-06-15T13:18:33ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972023-06-0111310.1128/spectrum.00307-23MALDI-TOF MS Is an Effective Technique To Classify Specific MicrobiotaLiangqiang Chen0Wenjing Gao1Xue Tan2Ying Han3Fu Jiao4Bin Feng5Jinghang Xie6Bin Li7Huilin Zhao8Huabin Tu9Shaoning Yu10Li Wang11Kweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaKweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaKweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaKweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaKweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaInstitute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaKweichow Moutai Group, Renhuai, Guizhou, People’s Republic of ChinaABSTRACT 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.https://journals.asm.org/doi/10.1128/spectrum.00307-23MALDI-TOF MSmicrobiota classificationHCA |
| spellingShingle | Liangqiang Chen Wenjing Gao Xue Tan Ying Han Fu Jiao Bin Feng Jinghang Xie Bin Li Huilin Zhao Huabin Tu Shaoning Yu Li Wang MALDI-TOF MS Is an Effective Technique To Classify Specific Microbiota Microbiology Spectrum MALDI-TOF MS microbiota classification HCA |
| 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 | MALDI-TOF MS microbiota classification HCA |
| url | https://journals.asm.org/doi/10.1128/spectrum.00307-23 |
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