An Isotope‐Labeled Single‐Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance
Understanding 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 analy...
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Veröffentlicht in: | Angewandte Chemie 2023-03, Vol.135 (14), p.n/a |
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description | Understanding 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.
A single‐cell approach integrating D2O‐labeled Raman spectroscopy, advanced multivariate analysis and genotypic profiling was developed to in situ track the highly heterogeneous and dynamic physiological evolution trajectory of bacteria toward antibiotic resistance. The physiological diversification of single cells into four subpopulations preceding resistance from an isogeneic population was sensitively captured and their dynamic shift was tracked. |
doi_str_mv | 10.1002/ange.202217412 |
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A single‐cell approach integrating D2O‐labeled Raman spectroscopy, advanced multivariate analysis and genotypic profiling was developed to in situ track the highly heterogeneous and dynamic physiological evolution trajectory of bacteria toward antibiotic resistance. The physiological diversification of single cells into four subpopulations preceding resistance from an isogeneic population was sensitively captured and their dynamic shift was tracked.</description><identifier>ISSN: 0044-8249</identifier><identifier>EISSN: 1521-3757</identifier><identifier>DOI: 10.1002/ange.202217412</identifier><language>eng</language><publisher>Weinheim: Wiley Subscription Services, Inc</publisher><subject>Ampicillin ; Antibiotic Resistance ; Antibiotic Tolerance ; Antibiotics ; Chemistry ; Evolution ; Evolution Trajectory ; Multivariate analysis ; Phenotyping ; Physiological Response ; Physiology ; Raman spectroscopy ; Single Cell Raman Spectroscopy ; Spectroscopy</subject><ispartof>Angewandte Chemie, 2023-03, Vol.135 (14), p.n/a</ispartof><rights>2023 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1172-5ef862cfc02889ddb6eac19aab6020075a40cd25b70dbd76df9012e7e71043a73</cites><orcidid>0000-0002-0708-8899 ; 0000-0002-3554-3334</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fange.202217412$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fange.202217412$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Yang, Kai</creatorcontrib><creatorcontrib>Xu, Fei</creatorcontrib><creatorcontrib>Zhu, Longji</creatorcontrib><creatorcontrib>Li, Hongzhe</creatorcontrib><creatorcontrib>Sun, Qian</creatorcontrib><creatorcontrib>Yan, Aixin</creatorcontrib><creatorcontrib>Ren, Bin</creatorcontrib><creatorcontrib>Zhu, Yong‐Guan</creatorcontrib><creatorcontrib>Cui, Li</creatorcontrib><title>An Isotope‐Labeled Single‐Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance</title><title>Angewandte Chemie</title><description>Understanding 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.
A single‐cell approach integrating D2O‐labeled Raman spectroscopy, advanced multivariate analysis and genotypic profiling was developed to in situ track the highly heterogeneous and dynamic physiological evolution trajectory of bacteria toward antibiotic resistance. The physiological diversification of single cells into four subpopulations preceding resistance from an isogeneic population was sensitively captured and their dynamic shift was tracked.</description><subject>Ampicillin</subject><subject>Antibiotic Resistance</subject><subject>Antibiotic Tolerance</subject><subject>Antibiotics</subject><subject>Chemistry</subject><subject>Evolution</subject><subject>Evolution Trajectory</subject><subject>Multivariate analysis</subject><subject>Phenotyping</subject><subject>Physiological Response</subject><subject>Physiology</subject><subject>Raman spectroscopy</subject><subject>Single Cell Raman Spectroscopy</subject><subject>Spectroscopy</subject><issn>0044-8249</issn><issn>1521-3757</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkc9u1DAQhy1EpS6Fa8-WOGcZO3-cHMNqKZVWULXlHE2cya4XNw62t1VuPAJ33o4naVaL6JHTSKPvm9HMj7FLAUsBID_gsKWlBCmFyoR8xRYilyJJVa5eswVAliWlzKpz9iaEPQAUUlUL9rse-HVw0Y305-evDbZkqeN3ZtjaY2NF1vJbfMCB342ko3dBu3Hi9Th6h3rHe-f5vUf9fTZ43BG_2U3BOOu2RqPl60dnD9G44Qjt5wHOT9z1_CPqSN4gj-4JfcfrIZrWuGg0v6VgQsRB01t21qMN9O5vvWDfPq3vV5-Tzder61W9SbQQSiY59WUhda9BlmXVdW1BqEWF2BYgAVSOGehO5q2Cru1U0fUVCEmKlIAsRZVesPenufNNPw4UYrN3Bz_MKxupyjLNVJrJmVqeKD0_IXjqm9GbB_RTI6A5BtAcA2j-BTAL1Ul4Mpam_9BN_eVq_eI-A4zJjx0</recordid><startdate>20230327</startdate><enddate>20230327</enddate><creator>Yang, Kai</creator><creator>Xu, Fei</creator><creator>Zhu, Longji</creator><creator>Li, Hongzhe</creator><creator>Sun, Qian</creator><creator>Yan, Aixin</creator><creator>Ren, Bin</creator><creator>Zhu, Yong‐Guan</creator><creator>Cui, Li</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-0708-8899</orcidid><orcidid>https://orcid.org/0000-0002-3554-3334</orcidid></search><sort><creationdate>20230327</creationdate><title>An Isotope‐Labeled Single‐Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance</title><author>Yang, Kai ; Xu, Fei ; Zhu, Longji ; Li, Hongzhe ; Sun, Qian ; Yan, Aixin ; Ren, Bin ; Zhu, Yong‐Guan ; Cui, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1172-5ef862cfc02889ddb6eac19aab6020075a40cd25b70dbd76df9012e7e71043a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Ampicillin</topic><topic>Antibiotic Resistance</topic><topic>Antibiotic Tolerance</topic><topic>Antibiotics</topic><topic>Chemistry</topic><topic>Evolution</topic><topic>Evolution Trajectory</topic><topic>Multivariate analysis</topic><topic>Phenotyping</topic><topic>Physiological Response</topic><topic>Physiology</topic><topic>Raman spectroscopy</topic><topic>Single Cell Raman Spectroscopy</topic><topic>Spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Kai</creatorcontrib><creatorcontrib>Xu, Fei</creatorcontrib><creatorcontrib>Zhu, Longji</creatorcontrib><creatorcontrib>Li, Hongzhe</creatorcontrib><creatorcontrib>Sun, Qian</creatorcontrib><creatorcontrib>Yan, Aixin</creatorcontrib><creatorcontrib>Ren, Bin</creatorcontrib><creatorcontrib>Zhu, Yong‐Guan</creatorcontrib><creatorcontrib>Cui, Li</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Angewandte Chemie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Kai</au><au>Xu, Fei</au><au>Zhu, Longji</au><au>Li, Hongzhe</au><au>Sun, Qian</au><au>Yan, Aixin</au><au>Ren, Bin</au><au>Zhu, Yong‐Guan</au><au>Cui, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Isotope‐Labeled Single‐Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance</atitle><jtitle>Angewandte Chemie</jtitle><date>2023-03-27</date><risdate>2023</risdate><volume>135</volume><issue>14</issue><epage>n/a</epage><issn>0044-8249</issn><eissn>1521-3757</eissn><abstract>Understanding 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.
A single‐cell approach integrating D2O‐labeled Raman spectroscopy, advanced multivariate analysis and genotypic profiling was developed to in situ track the highly heterogeneous and dynamic physiological evolution trajectory of bacteria toward antibiotic resistance. The physiological diversification of single cells into four subpopulations preceding resistance from an isogeneic population was sensitively captured and their dynamic shift was tracked.</abstract><cop>Weinheim</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ange.202217412</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0708-8899</orcidid><orcidid>https://orcid.org/0000-0002-3554-3334</orcidid></addata></record> |
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subjects | Ampicillin Antibiotic Resistance Antibiotic Tolerance Antibiotics Chemistry Evolution Evolution Trajectory Multivariate analysis Phenotyping Physiological Response Physiology Raman spectroscopy Single Cell Raman Spectroscopy Spectroscopy |
title | An Isotope‐Labeled Single‐Cell Raman Spectroscopy Approach for Tracking the Physiological Evolution Trajectory of Bacteria toward Antibiotic Resistance |
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