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Lineage Tracking for Probing Heritable Phenotypes at Single-Cell Resolution.

Denis Cottinet1, Florence Condamine1, Nicolas Bremond1

  • 1Chemistry Biology Innovation (CNRS UMR 8231), École supérieure de physique et de chimie industrielles de la Ville de Paris (ESPCI ParisTech), PSL* Research University, Paris, France.

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Summary
This summary is machine-generated.

This study introduces a millifluidic system for tracking heritable phenotypic changes in evolving microbial populations. This technology enables scalable, high-resolution phenotyping crucial for understanding microbial evolution and adaptation.

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Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Biotechnology

Background:

  • Understanding microbial evolution requires simultaneous analysis of phenotype and genotype at the single-cell level.
  • Current DNA sequencing offers high-resolution genotypic analysis, but robust single-cell phenotypic analysis methods are lacking.

Purpose of the Study:

  • To develop and validate a drop-based millifluidic system for detecting heritable phenotypic changes in evolving bacterial populations.
  • To demonstrate the system's utility in tracking phenotypic diversity during prolonged starvation conditions.

Main Methods:

  • Individual bacterial cells were compartmentalized into 100 nL drops within a millifluidic system.
  • Cellular growth and phenotypic changes were monitored over multiple generations using a fluorescent protein reporter.
  • Heritable phenotypic variations were amplified through multi-generational growth, followed by DNA sequencing to identify corresponding mutations.

Main Results:

  • The millifluidic system successfully detected heritable phenotypic changes in evolving bacterial populations.
  • Phenotypic diversity rapidly increased in Escherichia coli populations during 30 days of starvation, with the emergence of distinct heritable phenotypes.
  • Specific mutations linked to observed phenotypic classes were identified via DNA sequencing.

Conclusions:

  • This scalable lineage-tracking technology provides a powerful tool for high-resolution, large-scale single-cell phenotyping.
  • The approach has significant implications for microbiology, microbial population biology, and the study of evolutionary processes.