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Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level
Microbial interactions impact the functioning of both natural and engineered systems, yet our ability to directly monitor these highly dynamic and spatially resolved interactions in living cells is very limited. Here, we developed a synergistic approach coupling single-cell Raman microspectroscopy w...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991459/ https://www.ncbi.nlm.nih.gov/pubmed/36896131 http://dx.doi.org/10.1093/pnasnexus/pgad006 |
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author | Cui, Li Xin, Yuhan Yang, Kai Li, Hongzhe Tan, Fengjiao Zhang, Yulong Li, Xingrui Zhu, Zhi Yang, Jun Kao, Shuh-Ji Ren, Bin Zhu, Yong-Guan Musat, Florin Musat, Niculina |
author_facet | Cui, Li Xin, Yuhan Yang, Kai Li, Hongzhe Tan, Fengjiao Zhang, Yulong Li, Xingrui Zhu, Zhi Yang, Jun Kao, Shuh-Ji Ren, Bin Zhu, Yong-Guan Musat, Florin Musat, Niculina |
author_sort | Cui, Li |
collection | PubMed |
description | Microbial interactions impact the functioning of both natural and engineered systems, yet our ability to directly monitor these highly dynamic and spatially resolved interactions in living cells is very limited. Here, we developed a synergistic approach coupling single-cell Raman microspectroscopy with (15)N(2) and (13)CO(2) stable isotope probing in a microfluidic culture system (RMCS-SIP) for live tracking of the occurrence, rate, and physiological shift of metabolic interactions in active microbial assemblages. Quantitative and robust Raman biomarkers specific for N(2) and CO(2) fixation in both model and bloom-forming diazotrophic cyanobacteria were established and cross-validated. By designing a prototype microfluidic chip allowing simultaneous microbial cultivation and single-cell Raman acquisition, we achieved temporal tracking of both intercellular (between heterocyst and vegetative cells of cyanobacteria) and interspecies N and C metabolite exchange (from diazotroph to heterotroph). Moreover, single-cell N and C fixation and bidirectional transfer rate in living cells were quantified via SIP-induced characteristic Raman shifts. Remarkably, RMCS captured physiological responses of metabolically active cells to nutrient stimuli through comprehensive metabolic profiling, providing multimodal information on the evolution of microbial interactions and functions under fluctuating conditions. This noninvasive RMCS-SIP is an advantageous approach for live-cell imaging and represents an important advancement in the single-cell microbiology field. This platform can be extended for real-time tracking of a wide range of microbial interactions with single-cell resolution and advances the understanding and manipulation of microbial interactions for societal benefit. |
format | Online Article Text |
id | pubmed-9991459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99914592023-03-08 Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level Cui, Li Xin, Yuhan Yang, Kai Li, Hongzhe Tan, Fengjiao Zhang, Yulong Li, Xingrui Zhu, Zhi Yang, Jun Kao, Shuh-Ji Ren, Bin Zhu, Yong-Guan Musat, Florin Musat, Niculina PNAS Nexus Biological, Health, and Medical Sciences Microbial interactions impact the functioning of both natural and engineered systems, yet our ability to directly monitor these highly dynamic and spatially resolved interactions in living cells is very limited. Here, we developed a synergistic approach coupling single-cell Raman microspectroscopy with (15)N(2) and (13)CO(2) stable isotope probing in a microfluidic culture system (RMCS-SIP) for live tracking of the occurrence, rate, and physiological shift of metabolic interactions in active microbial assemblages. Quantitative and robust Raman biomarkers specific for N(2) and CO(2) fixation in both model and bloom-forming diazotrophic cyanobacteria were established and cross-validated. By designing a prototype microfluidic chip allowing simultaneous microbial cultivation and single-cell Raman acquisition, we achieved temporal tracking of both intercellular (between heterocyst and vegetative cells of cyanobacteria) and interspecies N and C metabolite exchange (from diazotroph to heterotroph). Moreover, single-cell N and C fixation and bidirectional transfer rate in living cells were quantified via SIP-induced characteristic Raman shifts. Remarkably, RMCS captured physiological responses of metabolically active cells to nutrient stimuli through comprehensive metabolic profiling, providing multimodal information on the evolution of microbial interactions and functions under fluctuating conditions. This noninvasive RMCS-SIP is an advantageous approach for live-cell imaging and represents an important advancement in the single-cell microbiology field. This platform can be extended for real-time tracking of a wide range of microbial interactions with single-cell resolution and advances the understanding and manipulation of microbial interactions for societal benefit. Oxford University Press 2023-01-18 /pmc/articles/PMC9991459/ /pubmed/36896131 http://dx.doi.org/10.1093/pnasnexus/pgad006 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Biological, Health, and Medical Sciences Cui, Li Xin, Yuhan Yang, Kai Li, Hongzhe Tan, Fengjiao Zhang, Yulong Li, Xingrui Zhu, Zhi Yang, Jun Kao, Shuh-Ji Ren, Bin Zhu, Yong-Guan Musat, Florin Musat, Niculina Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title | Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title_full | Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title_fullStr | Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title_full_unstemmed | Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title_short | Live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
title_sort | live tracking metabolic networks and physiological responses within microbial assemblages at single-cell level |
topic | Biological, Health, and Medical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991459/ https://www.ncbi.nlm.nih.gov/pubmed/36896131 http://dx.doi.org/10.1093/pnasnexus/pgad006 |
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