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Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution

Determining the phenotype and genotype of single cells is central to understand microbial evolution. DNA sequencing technologies allow the detection of mutants at high resolution, but similar approaches for phenotypic analyses are still lacking. We show that a drop-based millifluidic system enables...

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Autores principales: Cottinet, Denis, Condamine, Florence, Bremond, Nicolas, Griffiths, Andrew D., Rainey, Paul B., de Visser, J. Arjan G. M., Baudry, Jean, Bibette, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831777/
https://www.ncbi.nlm.nih.gov/pubmed/27077662
http://dx.doi.org/10.1371/journal.pone.0152395
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author Cottinet, Denis
Condamine, Florence
Bremond, Nicolas
Griffiths, Andrew D.
Rainey, Paul B.
de Visser, J. Arjan G. M.
Baudry, Jean
Bibette, Jérôme
author_facet Cottinet, Denis
Condamine, Florence
Bremond, Nicolas
Griffiths, Andrew D.
Rainey, Paul B.
de Visser, J. Arjan G. M.
Baudry, Jean
Bibette, Jérôme
author_sort Cottinet, Denis
collection PubMed
description Determining the phenotype and genotype of single cells is central to understand microbial evolution. DNA sequencing technologies allow the detection of mutants at high resolution, but similar approaches for phenotypic analyses are still lacking. We show that a drop-based millifluidic system enables the detection of heritable phenotypic changes in evolving bacterial populations. At time intervals, cells were sampled and individually compartmentalized in 100 nL drops. Growth through 15 generations was monitored using a fluorescent protein reporter. Amplification of heritable changes–via growth–over multiple generations yields phenotypically distinct clusters reflecting variation relevant for evolution. To demonstrate the utility of this approach, we follow the evolution of Escherichia coli populations during 30 days of starvation. Phenotypic diversity was observed to rapidly increase upon starvation with the emergence of heritable phenotypes. Mutations corresponding to each phenotypic class were identified by DNA sequencing. This scalable lineage-tracking technology opens the door to large-scale phenotyping methods with special utility for microbiology and microbial population biology.
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spelling pubmed-48317772016-04-22 Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution Cottinet, Denis Condamine, Florence Bremond, Nicolas Griffiths, Andrew D. Rainey, Paul B. de Visser, J. Arjan G. M. Baudry, Jean Bibette, Jérôme PLoS One Research Article Determining the phenotype and genotype of single cells is central to understand microbial evolution. DNA sequencing technologies allow the detection of mutants at high resolution, but similar approaches for phenotypic analyses are still lacking. We show that a drop-based millifluidic system enables the detection of heritable phenotypic changes in evolving bacterial populations. At time intervals, cells were sampled and individually compartmentalized in 100 nL drops. Growth through 15 generations was monitored using a fluorescent protein reporter. Amplification of heritable changes–via growth–over multiple generations yields phenotypically distinct clusters reflecting variation relevant for evolution. To demonstrate the utility of this approach, we follow the evolution of Escherichia coli populations during 30 days of starvation. Phenotypic diversity was observed to rapidly increase upon starvation with the emergence of heritable phenotypes. Mutations corresponding to each phenotypic class were identified by DNA sequencing. This scalable lineage-tracking technology opens the door to large-scale phenotyping methods with special utility for microbiology and microbial population biology. Public Library of Science 2016-04-14 /pmc/articles/PMC4831777/ /pubmed/27077662 http://dx.doi.org/10.1371/journal.pone.0152395 Text en © 2016 Cottinet et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cottinet, Denis
Condamine, Florence
Bremond, Nicolas
Griffiths, Andrew D.
Rainey, Paul B.
de Visser, J. Arjan G. M.
Baudry, Jean
Bibette, Jérôme
Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title_full Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title_fullStr Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title_full_unstemmed Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title_short Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution
title_sort lineage tracking for probing heritable phenotypes at single-cell resolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831777/
https://www.ncbi.nlm.nih.gov/pubmed/27077662
http://dx.doi.org/10.1371/journal.pone.0152395
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