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Local interactions lead to spatially correlated gene expression levels in bacterial groups

View ORCID ProfileSimon van Vliet, Alma Dal Co, Annina R. Winkler, Stefanie Spriewald, View ORCID ProfileBärbel Stecher, View ORCID ProfileMartin Ackermann
doi: https://doi.org/10.1101/109991
Simon van Vliet
1Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
2Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland
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  • For correspondence: simon.vanvliet@eawag.ch
Alma Dal Co
1Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
2Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland
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Annina R. Winkler
1Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
2Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland
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Stefanie Spriewald
3Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany
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Bärbel Stecher
3Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany
4German Center for Infection Research (DZIF), partner site LMU Munich, Munich, Germany
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Martin Ackermann
1Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
2Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland
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Abstract

Many bacteria live in spatially structured assemblies where the microenvironment of a cell is shaped by the activities of its neighbors. Bacteria regulate their gene expression based on the inferred state of the environment. This raises the question whether the phenotypes of neighboring cells can become correlated through interactions via the shared microenvironment. Here, we addressed this question by following gene expression dynamics in Escherichia coli microcolonies. We observed strong spatial correlations in the expression dynamics for pathways involved in toxin production, SOS-stress response, and metabolism. These correlations can partly be explained by a combination of shared lineage history and spatial gradients in the colony. Interestingly, we also found evidence for cell-cell interactions in SOS-stress response, methionine biosynthesis and overall metabolic activity. Together our data suggests that intercellular feedbacks can couple the phenotypes of neighboring cells, raising the question whether gene-regulatory networks have evolved to spatially organize biological functions.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted February 20, 2017.
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Local interactions lead to spatially correlated gene expression levels in bacterial groups
Simon van Vliet, Alma Dal Co, Annina R. Winkler, Stefanie Spriewald, Bärbel Stecher, Martin Ackermann
bioRxiv 109991; doi: https://doi.org/10.1101/109991
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Local interactions lead to spatially correlated gene expression levels in bacterial groups
Simon van Vliet, Alma Dal Co, Annina R. Winkler, Stefanie Spriewald, Bärbel Stecher, Martin Ackermann
bioRxiv 109991; doi: https://doi.org/10.1101/109991

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