Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1

Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass...

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Autores principales: Pei-Yu Chu, Hui-Wen Huang, Michittra Boonchan, Yu-Chang Tyan, Kevin Leroy Louis, Kun-Mu Lee, Kazushi Motomura, Liang-Yin Ke
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/8dfc6420a92b4e24989c7a6b0d16b9f9
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spelling oai:doaj.org-article:8dfc6420a92b4e24989c7a6b0d16b9f92021-11-25T19:14:40ZMass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP110.3390/v131123321999-4915https://doaj.org/article/8dfc6420a92b4e24989c7a6b0d16b9f92021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4915/13/11/2332https://doaj.org/toc/1999-4915Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass spectrometry (MS) make it a promising tool for identifying disease markers. Besides, the superior sensitivity of MS and proteomic approaches may enable the detection of all variants. Thus, this study aimed to establish an MS-based system for identifying and typing norovirus. We constructed three plasmids containing the major capsid protein VP1 of the norovirus GII.4 2006b, 2006a, and 2009a strains to produce virus-like particles for use as standards. Digested peptide signals were collected using a nano-flow ultra-performance liquid chromatography mass spectrometry (nano-UPLC/MS<sup>E</sup>) system, and analyzed by ProteinLynx Global SERVER and TREE-PUZZLE software. Results revealed that the LC/MS<sup>E</sup> system had an excellent coverage rate: the system detected more than 94% of amino acids of 3.61 femtomole norovirus VP1 structural protein. In the likelihood-mapping analysis, the proportions of unresolved quartets were 2.9% and 4.9% in the VP1 and S domains, respectively, which is superior to the 15.1% unresolved quartets in current PCR-based methodology. In summary, the use of LC/MS<sup>E</sup> may efficiently monitor genotypes, and sensitively detect structural and functional mutations of noroviruses.Pei-Yu ChuHui-Wen HuangMichittra BoonchanYu-Chang TyanKevin Leroy LouisKun-Mu LeeKazushi MotomuraLiang-Yin KeMDPI AGarticleNorovirusvirus-like particle (VLP)M-class ultra-performance liquid chromatography systemdata independent mass spectrometry (MS<sup>E</sup>)VP1 proteinP2-P1b regionMicrobiologyQR1-502ENViruses, Vol 13, Iss 2332, p 2332 (2021)
institution DOAJ
collection DOAJ
language EN
topic Norovirus
virus-like particle (VLP)
M-class ultra-performance liquid chromatography system
data independent mass spectrometry (MS<sup>E</sup>)
VP1 protein
P2-P1b region
Microbiology
QR1-502
spellingShingle Norovirus
virus-like particle (VLP)
M-class ultra-performance liquid chromatography system
data independent mass spectrometry (MS<sup>E</sup>)
VP1 protein
P2-P1b region
Microbiology
QR1-502
Pei-Yu Chu
Hui-Wen Huang
Michittra Boonchan
Yu-Chang Tyan
Kevin Leroy Louis
Kun-Mu Lee
Kazushi Motomura
Liang-Yin Ke
Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
description Norovirus-associated diseases are the most common foodborne illnesses worldwide. Polymerase chain reaction-based methods are the primary diagnostics for clinical samples; however, the high mutation rate of norovirus makes viral amplification and genotyping challenging. Technological advances in mass spectrometry (MS) make it a promising tool for identifying disease markers. Besides, the superior sensitivity of MS and proteomic approaches may enable the detection of all variants. Thus, this study aimed to establish an MS-based system for identifying and typing norovirus. We constructed three plasmids containing the major capsid protein VP1 of the norovirus GII.4 2006b, 2006a, and 2009a strains to produce virus-like particles for use as standards. Digested peptide signals were collected using a nano-flow ultra-performance liquid chromatography mass spectrometry (nano-UPLC/MS<sup>E</sup>) system, and analyzed by ProteinLynx Global SERVER and TREE-PUZZLE software. Results revealed that the LC/MS<sup>E</sup> system had an excellent coverage rate: the system detected more than 94% of amino acids of 3.61 femtomole norovirus VP1 structural protein. In the likelihood-mapping analysis, the proportions of unresolved quartets were 2.9% and 4.9% in the VP1 and S domains, respectively, which is superior to the 15.1% unresolved quartets in current PCR-based methodology. In summary, the use of LC/MS<sup>E</sup> may efficiently monitor genotypes, and sensitively detect structural and functional mutations of noroviruses.
format article
author Pei-Yu Chu
Hui-Wen Huang
Michittra Boonchan
Yu-Chang Tyan
Kevin Leroy Louis
Kun-Mu Lee
Kazushi Motomura
Liang-Yin Ke
author_facet Pei-Yu Chu
Hui-Wen Huang
Michittra Boonchan
Yu-Chang Tyan
Kevin Leroy Louis
Kun-Mu Lee
Kazushi Motomura
Liang-Yin Ke
author_sort Pei-Yu Chu
title Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
title_short Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
title_full Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
title_fullStr Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
title_full_unstemmed Mass Spectrometry-Based System for Identifying and Typing Norovirus Major Capsid Protein VP1
title_sort mass spectrometry-based system for identifying and typing norovirus major capsid protein vp1
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/8dfc6420a92b4e24989c7a6b0d16b9f9
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