TY - JOUR
T1 - Adaptive Phenotypic Plasticity Stabilizes Evolution in Fluctuating Environments
AU - Lalejini, Alexander
AU - Ferguson, Austin J.
AU - Grant, Nkrumah A.
AU - Ofria, Charles
N1 - This research was supported by the Department of Energy through Grant No. DE-SC0019436 and by the National Science Foundation (NSF) through the BEACON Center (DBI-0939454), a Graduate Research Fellowship to AL (DGE-1424871), and NSF Grant No. DEB-1655715.
We thank members of the MSU Digital Evolution Lab for helpful comments and suggestions on this work. We also thank Luis Zaman whose keynote talk at the 2020 Artificial Life conference inspired the initial exploratory experiments from which this work blossomed. Additionally, we thank the reviewers whose thoughtful comments and suggestions improved the quality of our manuscript. MSU provided computational resources through the Institute for Cyber-Enabled Research. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, Department of Energy, Michigan State University, or The University of Idaho. Funding. This research was supported by the Department of Energy through Grant No. DE-SC0019436 and by the National Science Foundation (NSF) through the BEACON Center (DBI-0939454), a Graduate Research Fellowship to AL (DGE-1424871), and NSF Grant No. DEB-1655715.
PY - 2021/8/31
Y1 - 2021/8/31
N2 - Fluctuating environmental conditions are ubiquitous in natural systems, and populations have evolved various strategies to cope with such fluctuations. The particular mechanisms that evolve profoundly influence subsequent evolutionary dynamics. One such mechanism is phenotypic plasticity, which is the ability of a single genotype to produce alternate phenotypes in an environmentally dependent context. Here, we use digital organisms (self-replicating computer programs) to investigate how adaptive phenotypic plasticity alters evolutionary dynamics and influences evolutionary outcomes in cyclically changing environments. Specifically, we examined the evolutionary histories of both plastic populations and non-plastic populations to ask: (1) Does adaptive plasticity promote or constrain evolutionary change? (2) Are plastic populations better able to evolve and then maintain novel traits? And (3), how does adaptive plasticity affect the potential for maladaptive alleles to accumulate in evolving genomes? We find that populations with adaptive phenotypic plasticity undergo less evolutionary change than non-plastic populations, which must rely on genetic variation from de novo mutations to continuously readapt to environmental fluctuations. Indeed, the non-plastic populations undergo more frequent selective sweeps and accumulate many more genetic changes. We find that the repeated selective sweeps in non-plastic populations drive the loss of beneficial traits and accumulation of maladaptive alleles, whereas phenotypic plasticity can stabilize populations against environmental fluctuations. This stabilization allows plastic populations to more easily retain novel adaptive traits than their non-plastic counterparts. In general, the evolution of adaptive phenotypic plasticity shifted evolutionary dynamics to be more similar to that of populations evolving in a static environment than to non-plastic populations evolving in an identical fluctuating environment. All natural environments subject populations to some form of change; our findings suggest that the stabilizing effect of phenotypic plasticity plays an important role in subsequent adaptive evolution.
AB - Fluctuating environmental conditions are ubiquitous in natural systems, and populations have evolved various strategies to cope with such fluctuations. The particular mechanisms that evolve profoundly influence subsequent evolutionary dynamics. One such mechanism is phenotypic plasticity, which is the ability of a single genotype to produce alternate phenotypes in an environmentally dependent context. Here, we use digital organisms (self-replicating computer programs) to investigate how adaptive phenotypic plasticity alters evolutionary dynamics and influences evolutionary outcomes in cyclically changing environments. Specifically, we examined the evolutionary histories of both plastic populations and non-plastic populations to ask: (1) Does adaptive plasticity promote or constrain evolutionary change? (2) Are plastic populations better able to evolve and then maintain novel traits? And (3), how does adaptive plasticity affect the potential for maladaptive alleles to accumulate in evolving genomes? We find that populations with adaptive phenotypic plasticity undergo less evolutionary change than non-plastic populations, which must rely on genetic variation from de novo mutations to continuously readapt to environmental fluctuations. Indeed, the non-plastic populations undergo more frequent selective sweeps and accumulate many more genetic changes. We find that the repeated selective sweeps in non-plastic populations drive the loss of beneficial traits and accumulation of maladaptive alleles, whereas phenotypic plasticity can stabilize populations against environmental fluctuations. This stabilization allows plastic populations to more easily retain novel adaptive traits than their non-plastic counterparts. In general, the evolution of adaptive phenotypic plasticity shifted evolutionary dynamics to be more similar to that of populations evolving in a static environment than to non-plastic populations evolving in an identical fluctuating environment. All natural environments subject populations to some form of change; our findings suggest that the stabilizing effect of phenotypic plasticity plays an important role in subsequent adaptive evolution.
KW - Avida
KW - changing environments
KW - digital evolution
KW - experimental evolution
KW - phenotypic plasticity
UR - https://www.scopus.com/pages/publications/85114843777
UR - https://www.scopus.com/pages/publications/85114843777#tab=citedBy
U2 - 10.3389/fevo.2021.715381
DO - 10.3389/fevo.2021.715381
M3 - Article
AN - SCOPUS:85114843777
SN - 2296-701X
VL - 9
JO - Frontiers in Ecology and Evolution
JF - Frontiers in Ecology and Evolution
M1 - 715381
ER -