ArticleScientific reports2018
Chromosomal barcoding as a tool for multiplexed phenotypic characterization of laboratory evolved lineages.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Population-scale chemical response revealed by a barcoded yeast collection.Nature communications · 2026Article
- Precise lineage tracking using molecular barcodes demonstrates fitness trade-offs for ivermectin resistance in nematodes.G3 (Bethesda, Md.) · 2025Article
- The Mla pathway promotesmBio · 2025Article
- Assessing microbiome population dynamics using wild-type isogenic standardized hybrid (WISH)-tags.Nature microbiology · 2024Article
- High-throughput library transgenesis ineLife · 2023Article
- Evolution of Resistance to Irinotecan in Cancer Cells Involves Generation of Topoisomerase-Guided Mutations in Non-Coding Genome That Reduce the Chances of DNA Breaks.International journal of molecular sciences · 2023Article
- An improved algorithm for inferring mutational parameters from bar-seq evolution experiments.BMC genomics · 2023Article
- Interpreting and de-noising genetically engineered barcodes in a DNA virus.PLoS computational biology · 2022Article
- Bacterial age distribution in soil - Generational gaps in adjacent hot and cold spots.PLoS computational biology · 2022Article
- Compatibility of Evolutionary Responses to Constituent Antibiotics Drive Resistance Evolution to Drug Pairs.Molecular biology and evolution · 2021Article
- Multiplexed Competition in a Synthetic Squid Light Organ Microbiome Using Barcode-Tagged Gene Deletions.mSystems · 2020Article
- Dominant resistance and negative epistasis can limit the co-selection of de novo resistance mutations and antibiotic resistance genes.Nature communications · 2020Article
- Chromosomal barcoding of E. coli populations reveals lineage diversity dynamics at high resolution.Nature ecology & evolution · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptive laboratory evolution is an important tool to evolve organisms to increased tolerance towards different physical and chemical stress. It is applied to study the evolution of antibiotic resistance as well as genetic mechanisms underlying improvements in production strains. Adaptive evolution experiments can be automated in a high-throughput fashion. However, the characterization of the resulting lineages can become a time consuming task, when the performance of each lineage is evaluated individually. Here, we present a novel method for the markerless insertion of randomized genetic barcodes into the genome of Escherichia coli using a novel dual-auxotrophic selection approach. The barcoded E. coli library allows multiplexed phenotyping of evolved strains in pooled competition experiments. We use the barcoded library in an adaptive evolution experiment; evolving resistance towards three common antibiotics. Comparing this multiplexed phenotyping with conventional susceptibility testing and growth-rate measurements we can show a significant positive correlation between the two approaches. Use of barcoded bacterial strain libraries for individual adaptive evolution experiments drastically reduces the workload of characterizing the resulting phenotypes and enables prioritization of lineages for in-depth characterization. In addition, barcoded clones open up new ways to profile community dynamics or to track lineages in vivo or situ.
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