The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Adaptive prediction of environmental changes by microorganisms
Abstract
Natural habitats of some microorganisms may fluctuate erratically, whereas others, which are more predictable, offer the opportunity to prepare in advance for the next environmental change. In analogy to classical Pavlovian conditioning, microorganisms may have evolved to anticipate environmental stimuli by adapting to their temporal order of appearance. Here we present evidence for environmental change anticipation in two model microorganisms, Escherichia coli and Saccharomyces cerevisiae. We show that anticipation is an adaptive trait, because pre-exposure to the stimulus that typically appears early in the ecology improves the organism's fitness when encountered with a second stimulus. Additionally, we observe loss of the conditioned response in E. coli strains that were repeatedly exposed in a laboratory evolution experiment only to the first stimulus. Focusing on the molecular level reveals that the natural temporal order of stimuli is embedded in the wiring of the regulatory network-early stimuli pre-induce genes that would be needed for later ones, yet later stimuli only induce genes needed to cope with them. Our work indicates that environmental anticipation is an adaptive trait that was repeatedly selected for during evolution and thus may be ubiquitous in biology.
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From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [151]
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Metadata
- Authors
- Mitchell, A., Romano, G. H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan, O., & Pilpel, Y.
- Affiliations
- Weizmann Institute of Science (IL)
- Tel Aviv University (IL)
- Harvard University (US)
- Corresponding author
- Pilpel, Yitzhak
- Venue
- Nature
- Published
- 2009-06-17
- Volume
- 460
- Issue
- 7252
- Pages
- 220-224
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2165081628
- Cited by
- 581
- References
- 28
- Citations by year
- 2026: 26 · 2025: 28 · 2024: 31 · 2023: 47 · 2022: 38 · 2021: 32 · 2020: 40 · 2019: 35 · 2018: 57 · 2017: 37 · 2016: 30 · 2015: 30 · 2014: 27 · 2013: 30 · 2012: 30
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- European Science Foundation
- Israel Science Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- classical conditioning, Escherichia coli, Saccharomyces cerevisiae, gene expression regulation, regulatory networks, adaptive evolution, conditioned response, memory loss, fitness, gut microbiota, yeast fermentation
- MeSH terms
- Adaptation, Physiological, Carbon, Environment, Escherichia coli, Biological Evolution, Fermentation, Gene Expression Regulation, Lactose, Maltose, Osmotic Pressure, Saccharomyces cerevisiae, Time Factors, Oxidative Stress, Heat-Shock Response, Cell Respiration, Genomics, Carbohydrate Metabolism
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