ArticlePloS one2016
Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed.
- Low-Frequency Segmented-Flow Microfluidics for Biphasic Chemical Sensing.Sensors and actuators. B, Chemical · 2026Article
- Trajectory analysis ofBiomicrofluidics · 2024Article
- Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers.The Journal of pathology · 2022Review
- Tracking the stochastic growth of bacterial populations in microfluidic droplets.Physical biology · 2022Article
- Droplet Microfluidics for Microbial Biotechnology.Advances in biochemical engineering/biotechnology · 2022Article
- A leader cell triggers end of lag phase in populations ofmicroLife · 2022Article
- Eco-evolutionary dynamics of nested Darwinian populations and the emergence of community-level heredity.eLife · 2020Article
- Coexistence and cooperation in structured habitats.BMC ecology · 2020Article
- Ecological scaffolding and the evolution of individuality.Nature ecology & evolution · 2020Article
- Ultrasonically-guided flow focusing generates precise emulsion droplets for high-throughput single cell analyses.Journal of bioscience and bioengineering · 2019Article
- Towards a systematic understanding of differences between archaeal and bacterial diversity.Environmental microbiology reports · 2019Article
- Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.Microbiology and molecular biology reviews : MMBR · 2018Review
- Sex in a test tube: testing the benefits of in vitro recombination.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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