Mapping single‐cell responses to population‐level dynamics during antibiotic treatment
Abstract Treatment of sensitive bacteria with beta‐lactam antibiotics often leads to two salient population‐level features: a transient increase in total population biomass before a subsequent decline, and a linear correlation between growth and killing rates. However, it remains unclear how these p...
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| Format: | Article |
| Language: | English |
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Springer Nature
2023-05-01
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| Series: | Molecular Systems Biology |
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| Online Access: | https://doi.org/10.15252/msb.202211475 |
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| author | Kyeri Kim Teng Wang Helena R Ma Emrah Şimşek Boyan Li Virgile Andreani Lingchong You |
| author_facet | Kyeri Kim Teng Wang Helena R Ma Emrah Şimşek Boyan Li Virgile Andreani Lingchong You |
| author_sort | Kyeri Kim |
| collection | DOAJ |
| description | Abstract Treatment of sensitive bacteria with beta‐lactam antibiotics often leads to two salient population‐level features: a transient increase in total population biomass before a subsequent decline, and a linear correlation between growth and killing rates. However, it remains unclear how these population‐level responses emerge from collective single‐cell responses. During beta‐lactam treatment, it is well‐recognized that individual cells often exhibit varying degrees of filamentation before lysis. We show that the cumulative probability of cell lysis increases sigmoidally with the extent of filamentation and that this dependence is characterized by unique parameters that are specific to bacterial strain, antibiotic dose, and growth condition. Modeling demonstrates how the single‐cell lysis probabilities can give rise to population‐level biomass dynamics, which were experimentally validated. This mapping provides insights into how the population biomass time‐kill curve emerges from single cells and allows the representation of both single‐ and population‐level responses with universal parameters. |
| format | Article |
| id | doaj-art-5d06eea2d468425f9e0c7629c2a90593 |
| institution | Kabale University |
| issn | 1744-4292 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Molecular Systems Biology |
| spelling | doaj-art-5d06eea2d468425f9e0c7629c2a905932025-08-20T03:43:31ZengSpringer NatureMolecular Systems Biology1744-42922023-05-0119711310.15252/msb.202211475Mapping single‐cell responses to population‐level dynamics during antibiotic treatmentKyeri Kim0Teng Wang1Helena R Ma2Emrah Şimşek3Boyan Li4Virgile Andreani5Lingchong You6Department of Biomedical Engineering, Duke UniversityDepartment of Biomedical Engineering, Duke UniversityDepartment of Biomedical Engineering, Duke UniversityDepartment of Biomedical Engineering, Duke UniversityIntegrated Science Program, Yuanpei College, Peking UniversityBiomedical Engineering Department, Boston UniversityDepartment of Biomedical Engineering, Duke UniversityAbstract Treatment of sensitive bacteria with beta‐lactam antibiotics often leads to two salient population‐level features: a transient increase in total population biomass before a subsequent decline, and a linear correlation between growth and killing rates. However, it remains unclear how these population‐level responses emerge from collective single‐cell responses. During beta‐lactam treatment, it is well‐recognized that individual cells often exhibit varying degrees of filamentation before lysis. We show that the cumulative probability of cell lysis increases sigmoidally with the extent of filamentation and that this dependence is characterized by unique parameters that are specific to bacterial strain, antibiotic dose, and growth condition. Modeling demonstrates how the single‐cell lysis probabilities can give rise to population‐level biomass dynamics, which were experimentally validated. This mapping provides insights into how the population biomass time‐kill curve emerges from single cells and allows the representation of both single‐ and population‐level responses with universal parameters.https://doi.org/10.15252/msb.202211475antibiotic responsebacterial population dynamicsfilamentationquantitative biologysingle‐cell analysis |
| spellingShingle | Kyeri Kim Teng Wang Helena R Ma Emrah Şimşek Boyan Li Virgile Andreani Lingchong You Mapping single‐cell responses to population‐level dynamics during antibiotic treatment Molecular Systems Biology antibiotic response bacterial population dynamics filamentation quantitative biology single‐cell analysis |
| title | Mapping single‐cell responses to population‐level dynamics during antibiotic treatment |
| title_full | Mapping single‐cell responses to population‐level dynamics during antibiotic treatment |
| title_fullStr | Mapping single‐cell responses to population‐level dynamics during antibiotic treatment |
| title_full_unstemmed | Mapping single‐cell responses to population‐level dynamics during antibiotic treatment |
| title_short | Mapping single‐cell responses to population‐level dynamics during antibiotic treatment |
| title_sort | mapping single cell responses to population level dynamics during antibiotic treatment |
| topic | antibiotic response bacterial population dynamics filamentation quantitative biology single‐cell analysis |
| url | https://doi.org/10.15252/msb.202211475 |
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