Skip to main navigation Skip to search Skip to main content

Adaptive prediction emerges over short evolutionary time scales

  • Adrián López García De Lomana
  • , Amardeep Kaur
  • , Serdar Turkarslan
  • , Karlyn D. Beer
  • , Fred D. Mast
  • , Jennifer J. Smith
  • , John D. Aitchison
  • , Nitin S. Baliga

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Adaptive prediction is a capability of diverse organisms, including microbes, to sense a cue and prepare in advance to deal with a future environmental challenge. Here, we investigated the timeframe over which adaptive prediction emerges when an organism encounters an environment with novel structure. We subjected yeast to laboratory evolution in a novel environment with repetitive, coupled exposures to a neutral chemical cue (caffeine), followed by a sublethal dose of a toxin (5-FOA), with an interspersed requirement for uracil prototrophy to counter-select mutants that gained constitutive 5-FOA resistance. We demonstrate the remarkable ability of yeast to internalize a novel environmental pattern within 50-150 generations by adaptively predicting 5-FOA stress upon sensing caffeine. We also demonstrate how novel environmental structure can be internalized by coupling two unrelated response networks, such as the response to caffeine and signaling-mediated conditional peroxisomal localization of proteins.

Original languageEnglish
Pages (from-to)1616-1623
Number of pages8
JournalGenome Biology and Evolution
Volume9
Issue number6
DOIs
StatePublished - Jun 2017

Keywords

  • Adaptive prediction
  • Conditioned fitness
  • Peroxisomal translocation
  • Structured environments
  • Variant analysis

Fingerprint

Dive into the research topics of 'Adaptive prediction emerges over short evolutionary time scales'. Together they form a unique fingerprint.

Cite this