Adaptive Response of a Gene Network to Environmental Changes by Fitness-induced Attractor Selection
Overview
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Cells switch between various stable genetic programs (attractors) to accommodate environmental conditions. Signal transduction machineries efficiently convey environmental changes to the gene regulation apparatus in order to express the appropriate genetic program. However, since the number of environmental conditions is much larger than that of available genetic programs so that the cell may utilize the same genetic program for a large set of conditions, it may not have evolved a signaling pathway for every environmental condition, notably those that are rarely encountered. Here we show that in the absence of signal transduction, switching to the appropriate attractor state expressing the genes that afford adaptation to the external condition can occur. In a synthetic bistable gene switch in Escherichia coli in which mutually inhibitory operons govern the expression of two genes required in two alternative nutritional environments, cells reliably selected the "adaptive attractor" driven by gene expression noise. A mathematical model suggests that the "non-adaptive attractor" is avoided because in unfavorable conditions, cellular activity is lower, which suppresses mRNA metabolism, leading to larger fluctuations in gene expression. This, in turn, renders the non-adaptive state less stable. Although attractor selection is not as efficient as signal transduction via a dedicated cascade, it is simple and robust, and may represent a primordial mechanism for adaptive responses that preceded the evolution of signaling cascades for the frequently encountered environmental changes.
Effective bet-hedging through growth rate dependent stability.
de Groot D, Tjalma A, Bruggeman F, van Nimwegen E Proc Natl Acad Sci U S A. 2023; 120(8):e2211091120.
PMID: 36780518 PMC: 9974493. DOI: 10.1073/pnas.2211091120.
Emergent expression of fitness-conferring genes by phenotypic selection.
Ciechonska M, Sturrock M, Grob A, Larrouy-Maumus G, Shahrezaei V, Isalan M PNAS Nexus. 2023; 1(3):pgac069.
PMID: 36741458 PMC: 9896880. DOI: 10.1093/pnasnexus/pgac069.
Fields C, Levin M Entropy (Basel). 2022; 24(6).
PMID: 35741540 PMC: 9222757. DOI: 10.3390/e24060819.
Self-Reproduction and Darwinian Evolution in Autocatalytic Chemical Reaction Systems.
Ameta S, Matsubara Y, Chakraborty N, Krishna S, Thutupalli S Life (Basel). 2021; 11(4).
PMID: 33916135 PMC: 8066523. DOI: 10.3390/life11040308.
Attractor selection based limited feedback hybrid precoding for uplink V2I communications.
Ye J, Gharavi H IEEE Trans Veh Technol. 2021; 69(4).
PMID: 33612853 PMC: 7890698. DOI: 10.1109/tvt.2020.2971420.