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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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