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Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing

BACKGROUND: Cyanobacteria are important agents in global carbon and nitrogen cycling and hold great promise for biotechnological applications. Model organisms such as Synechocystis sp. and Synechococcus sp. have advanced our understanding of photosynthetic capacity and circadian behavior, mostly usi...

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Autores principales: Yu, Feiqiao Brian, Willis, Lisa, Chau, Rosanna Man Wah, Zambon, Alessandro, Horowitz, Mark, Bhaya, Devaki, Huang, Kerwyn Casey, Quake, Stephen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310064/
https://www.ncbi.nlm.nih.gov/pubmed/28196492
http://dx.doi.org/10.1186/s12915-016-0344-4
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author Yu, Feiqiao Brian
Willis, Lisa
Chau, Rosanna Man Wah
Zambon, Alessandro
Horowitz, Mark
Bhaya, Devaki
Huang, Kerwyn Casey
Quake, Stephen R.
author_facet Yu, Feiqiao Brian
Willis, Lisa
Chau, Rosanna Man Wah
Zambon, Alessandro
Horowitz, Mark
Bhaya, Devaki
Huang, Kerwyn Casey
Quake, Stephen R.
author_sort Yu, Feiqiao Brian
collection PubMed
description BACKGROUND: Cyanobacteria are important agents in global carbon and nitrogen cycling and hold great promise for biotechnological applications. Model organisms such as Synechocystis sp. and Synechococcus sp. have advanced our understanding of photosynthetic capacity and circadian behavior, mostly using population-level measurements in which the behavior of individuals cannot be monitored. Synechocystis sp. cells are small and divide slowly, requiring long-term experiments to track single cells. Thus, the cumulative effects of drift over long periods can cause difficulties in monitoring and quantifying cell growth and division dynamics. RESULTS: To overcome this challenge, we enhanced a microfluidic cell-culture device and developed an image analysis pipeline for robust lineage reconstruction. This allowed simultaneous tracking of many cells over multiple generations, and revealed that cells expand exponentially throughout their cell cycle. Generation times were highly correlated for sister cells, but not between mother and daughter cells. Relationships between birth size, division size, and generation time indicated that cell-size control was inconsistent with the “sizer” rule, where division timing is based on cell size, or the “timer” rule, where division occurs after a fixed time interval. Instead, single cell growth statistics were most consistent with the “adder” rule, in which division occurs after a constant increment in cell volume. Cells exposed to light-dark cycles exhibited growth and division only during the light period; dark phases pause but do not disrupt cell-cycle control. CONCLUSIONS: Our analyses revealed that the “adder” model can explain both the growth-related statistics of single Synechocystis cells and the correlation between sister cell generation times. We also observed rapid phenotypic response to light-dark transitions at the single cell level, highlighting the critical role of light in cyanobacterial cell-cycle control. Our findings suggest that by monitoring the growth kinetics of individual cells we can build testable models of circadian control of the cell cycle in cyanobacteria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-016-0344-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-53100642017-03-13 Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing Yu, Feiqiao Brian Willis, Lisa Chau, Rosanna Man Wah Zambon, Alessandro Horowitz, Mark Bhaya, Devaki Huang, Kerwyn Casey Quake, Stephen R. BMC Biol Research Article BACKGROUND: Cyanobacteria are important agents in global carbon and nitrogen cycling and hold great promise for biotechnological applications. Model organisms such as Synechocystis sp. and Synechococcus sp. have advanced our understanding of photosynthetic capacity and circadian behavior, mostly using population-level measurements in which the behavior of individuals cannot be monitored. Synechocystis sp. cells are small and divide slowly, requiring long-term experiments to track single cells. Thus, the cumulative effects of drift over long periods can cause difficulties in monitoring and quantifying cell growth and division dynamics. RESULTS: To overcome this challenge, we enhanced a microfluidic cell-culture device and developed an image analysis pipeline for robust lineage reconstruction. This allowed simultaneous tracking of many cells over multiple generations, and revealed that cells expand exponentially throughout their cell cycle. Generation times were highly correlated for sister cells, but not between mother and daughter cells. Relationships between birth size, division size, and generation time indicated that cell-size control was inconsistent with the “sizer” rule, where division timing is based on cell size, or the “timer” rule, where division occurs after a fixed time interval. Instead, single cell growth statistics were most consistent with the “adder” rule, in which division occurs after a constant increment in cell volume. Cells exposed to light-dark cycles exhibited growth and division only during the light period; dark phases pause but do not disrupt cell-cycle control. CONCLUSIONS: Our analyses revealed that the “adder” model can explain both the growth-related statistics of single Synechocystis cells and the correlation between sister cell generation times. We also observed rapid phenotypic response to light-dark transitions at the single cell level, highlighting the critical role of light in cyanobacterial cell-cycle control. Our findings suggest that by monitoring the growth kinetics of individual cells we can build testable models of circadian control of the cell cycle in cyanobacteria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-016-0344-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-14 /pmc/articles/PMC5310064/ /pubmed/28196492 http://dx.doi.org/10.1186/s12915-016-0344-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yu, Feiqiao Brian
Willis, Lisa
Chau, Rosanna Man Wah
Zambon, Alessandro
Horowitz, Mark
Bhaya, Devaki
Huang, Kerwyn Casey
Quake, Stephen R.
Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title_full Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title_fullStr Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title_full_unstemmed Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title_short Long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
title_sort long-term microfluidic tracking of coccoid cyanobacterial cells reveals robust control of division timing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310064/
https://www.ncbi.nlm.nih.gov/pubmed/28196492
http://dx.doi.org/10.1186/s12915-016-0344-4
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