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Article: An Isotope-Labeled Single-Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance

TitleAn Isotope-Labeled Single-Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance
Authors
KeywordsAntibiotic Resistance
Antibiotic Tolerance
Evolution Trajectory
Physiological Response
Single Cell Raman Spectroscopy
Issue Date2-Feb-2023
PublisherWiley
Citation
Angewandte Chemie International Edition, 2023, v. 62, n. 14 How to Cite?
AbstractUnderstanding evolution of antibiotic resistance is vital for containing its global spread. Yet our ability to in situ track highly heterogeneous and dynamic evolution is very limited. Here, we present a new single-cell approach integrating D2O-labeled Raman spectroscopy, advanced multivariate analysis, and genotypic profiling to in situ track physiological evolution trajectory toward resistance. Physiological diversification of individual cells from isogenic population with cyclic ampicillin treatment is captured. Advanced multivariate analysis of spectral changes classifies all individual cells into four subsets of sensitive, intrinsic tolerant, evolved tolerant and resistant. Remarkably, their dynamic shifts with evolution are depicted and spectral markers of each state are identified. Genotypic analysis validates the phenotypic shift and provides insights into the underlying genetic basis. The new platform advances rapid phenotyping resistance evolution and guides evolution control.
Persistent Identifierhttp://hdl.handle.net/10722/338637
ISSN
2023 Impact Factor: 16.1
2023 SCImago Journal Rankings: 5.300
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, K-
dc.contributor.authorXu, F-
dc.contributor.authorZhu, L-
dc.contributor.authorLi, H-
dc.contributor.authorSun, Q-
dc.contributor.authorYan, A-
dc.contributor.authorRen, B-
dc.contributor.authorZhu, YG-
dc.contributor.authorCui, L-
dc.date.accessioned2024-03-11T10:30:22Z-
dc.date.available2024-03-11T10:30:22Z-
dc.date.issued2023-02-02-
dc.identifier.citationAngewandte Chemie International Edition, 2023, v. 62, n. 14-
dc.identifier.issn1433-7851-
dc.identifier.urihttp://hdl.handle.net/10722/338637-
dc.description.abstractUnderstanding evolution of antibiotic resistance is vital for containing its global spread. Yet our ability to in situ track highly heterogeneous and dynamic evolution is very limited. Here, we present a new single-cell approach integrating D2O-labeled Raman spectroscopy, advanced multivariate analysis, and genotypic profiling to in situ track physiological evolution trajectory toward resistance. Physiological diversification of individual cells from isogenic population with cyclic ampicillin treatment is captured. Advanced multivariate analysis of spectral changes classifies all individual cells into four subsets of sensitive, intrinsic tolerant, evolved tolerant and resistant. Remarkably, their dynamic shifts with evolution are depicted and spectral markers of each state are identified. Genotypic analysis validates the phenotypic shift and provides insights into the underlying genetic basis. The new platform advances rapid phenotyping resistance evolution and guides evolution control.-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofAngewandte Chemie International Edition-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAntibiotic Resistance-
dc.subjectAntibiotic Tolerance-
dc.subjectEvolution Trajectory-
dc.subjectPhysiological Response-
dc.subjectSingle Cell Raman Spectroscopy-
dc.titleAn Isotope-Labeled Single-Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance-
dc.typeArticle-
dc.identifier.doi10.1002/anie.202217412-
dc.identifier.scopuseid_2-s2.0-85148361899-
dc.identifier.volume62-
dc.identifier.issue14-
dc.identifier.eissn1521-3773-
dc.identifier.isiWOS:000935218300001-
dc.identifier.issnl1433-7851-

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