TY - JOUR
T1 - Increasing growth rate slows adaptation when genotypes compete for diffusing resources
AU - Chacón, Jeremy M.
AU - Shaw, Allison
AU - Harcombe, William
PY - 2020/1/1
Y1 - 2020/1/1
N2 - The rate at which a species responds to natural selection is a central predictor of the species' ability to adapt to environmental change. It is well-known that spatially-structured environments slow the rate of adaptation due to increased intra-genotype competition. Here, we show that this effect magnifies over time as a species becomes better adapted and grows faster. Using a reaction-diffusion model, we demonstrate that growth rates are inextricably coupled with effective spatial scales, such that higher growth rates cause more localized competition. This has two effects: selection requires more generations for beneficial mutations to fix, and spatially-caused genetic drift increases. Together, these effects diminish the value of additional growth rate mutations in structured environments.
AB - The rate at which a species responds to natural selection is a central predictor of the species' ability to adapt to environmental change. It is well-known that spatially-structured environments slow the rate of adaptation due to increased intra-genotype competition. Here, we show that this effect magnifies over time as a species becomes better adapted and grows faster. Using a reaction-diffusion model, we demonstrate that growth rates are inextricably coupled with effective spatial scales, such that higher growth rates cause more localized competition. This has two effects: selection requires more generations for beneficial mutations to fix, and spatially-caused genetic drift increases. Together, these effects diminish the value of additional growth rate mutations in structured environments.
UR - http://www.scopus.com/inward/record.url?scp=85077721740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077721740&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1007585
DO - 10.1371/journal.pcbi.1007585
M3 - Article
C2 - 31910213
SN - 1553-734X
VL - 16
SP - e1007585
JO - PLoS computational biology
JF - PLoS computational biology
IS - 1
ER -