Published September 25, 2014 | Version v1
Journal article Open

Memory and Fitness Optimization of Bacteria under Fluctuating Environments

  • 1. University of Chicago
  • 2. New York University

Description

Bacteria prudently regulate their metabolic phenotypes by sensing the availability of specific nutrients, expressing the required genes for their metabolism, and repressing them after specific metabolites are depleted. It is unclear, however, how genetic networks maintain and transmit phenotypic states between generations under rapidly fluctuating environments. By subjecting bacteria to fluctuating carbon sources (glucose and lactose) using microfluidics, we discover two types of non-genetic memory in Escherichia coli and analyze their benefits. First, phenotypic memory conferred by transmission of stable intracellular lac proteins dramatically reduces lag phases under cyclical fluctuations with intermediate timescales (1–10 generations). Second, response memory, a hysteretic behavior in which gene expression persists after removal of its external inducer, enhances adaptation when environments fluctuate over short timescales (<1 generation). Using a mathematical model we analyze the benefits of memory across environmental fluctuation timescales. We show that memory mechanisms provide an important class of survival strategies in biology that improve long-term fitness under fluctuating environments. These results can be used to understand how organisms adapt to fluctuating levels of nutrients, antibiotics, and other environmental stresses.

Data availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are provided within the paper and its Supporting Information Files. Data is also available from Dryad under the accession number dryad.93cp6.

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Additional details

Identifiers

DOI
10.1371/journal.pgen.1004556
Other
oai:uchicago.tind.io:10742

Funding

National Institutes of Health
R01-GM-097356
National Science Foundation
ECS-0335765

UChicago Information

Division(s)
Institutes & Centers
Center(s) or Institute(s)
Institute for Genomics and Systems Biology