bioRxivEvolutionary BiologyPreprint
A DNA-barcoded Luria-Delbrück assay resolves mechanisms of adaptation
Kabir B. HusainiD, Lanijah Flagg, David PincusiD, Arvind MuruganiD
Abstract
When populations encounter a harsh new environment, they adapt in many different ways -- from spontaneous genetic changes to transient non-genetic plasticity. Distinguishing between mechanisms of adaptation is often difficult, as the key events are rare and hard to observe directly. Here, we introduce HiDenSeq, a Luria-Delbruck assay that uses DNA barcoding and deep sequencing to resolve the Luria-Delbruck distribution -- the statistics of adaptation to a new environment -- over four orders of magnitude. At this statistical depth, the shape of the distribution encodes the underlying adaptive mechanism. We find that DNA mismatch repair mutants shift the distribution's scale without changing its shape, indicating their only effect is as mutator alleles. A pulse of UV mutagenesis, however, adds a second, statistically distinguishable mode atop the spontaneous background, showing that different mechanisms of adaptation can be quantified directly from the distribution. By sampling rare-event statistics with DNA barcodes, HiDenSeq provides a general method for studying mechanisms of adaptation in evolving populations from microbes to cancers.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Evolutionary dynamics of asexual hypermutators adapting to a novel environment
W.-C. Ho, M. G. Behringer, … M. Lynch·bioRxiv·Jul 28, 2021
- Putting BASIL in a BLT: A Bayesian filtering method for estimating the fitness effects of nascent adaptive mutations
Huan-Yu Kuo, Sergey Kryazhimskiy·PLoS Computational BiologyPeer-reviewed·Feb 27, 2026
- Mutational robustness changes during long-term adaptation in laboratory budding yeast populations
M. Johnson, M. M. Desai·bioRxiv·Dec 17, 2021
- Mutation bias is a key predictor of adaptation rate
Shazia Parveen, Aakanksha Madhwal, … Deepa Agashe·bioRxiv·Sep 22, 2025
- Ineffectual Genomic Error Correction Under Environmental Perturbation Dynamically Regulates Mutational Supply and Robustness
S Barik, Parthasarathi Sahu, … Hemachander Subramanian·Journal of Molecular EvolutionPeer-reviewed·Aug 27, 2026
- Experimental evolution of evolvability
Michael Barnett, Lena Meister, Paul B. Rainey·SciencePeer-reviewed·Feb 20, 2025