Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1782427131500822528 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4831777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cottinetdenis lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT condamineflorence lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT bremondnicolas lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT griffithsandrewd lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT raineypaulb lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT devisserjarjangm lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT baudryjean lineagetrackingforprobingheritablephenotypesatsinglecellresolution AT bibettejerome lineagetrackingforprobingheritablephenotypesatsinglecellresolution |