Constraints on the evolution of tolerance to herbicide in the common morning glory: resistance and tolerance are mutually exclusive.
Evolutionary biologists explain the maintenance of intermediate levels of defense in plant populations as being due to trade-offs, or negative genetic covariances among ecologically important traits. Attempts at detecting trade-offs as constraints on the evolution of defense have not always been successful, leading some to conclude that such trade-offs rarely explain current levels of defense in the population. Using the agricultural pest Ipomoea purpurea, we measured correlations between traits involved in defense to glyphosate, the active ingredient in Roundup, a widely used herbicide. We found significant allocation costs of tolerance, as well as trade-offs between resistance and two measures of tolerance to glyphosate. Selection on resistance and tolerance exhibited differing patterns: tolerance to leaf damage was under negative directional selection, whereas resistance was under positive directional selection. The joint pattern of selection on resistance and tolerance to leaf damage indicated the presence of alternate peaks in the fitness landscape such that a combination of either high tolerance and low resistance, or high resistance and low tolerance was favored. The widespread use of this herbicide suggests that it is likely an important selective agent on weed populations. Understanding the evolutionary dynamics of herbicide defense traits is thus of increasing importance in the context of human-mediated evolution.
Baucom
Regina S
RS
Department of Genetics, University of Georgia, Athens, Georgia 30602, USA. gbaucom@uga.edu
Mauricio
Rodney
R
D004351:Drug Resistance; D004361:Drug Tolerance; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation / Q000187:drug effects; D005998:Glycine / Q000031:analogs & derivatives* / Q000633:toxicity; D006540:Herbicides / Q000633:toxicity*; D019684:Magnoliopsida / Q000187:drug effects* / Q000235:genetics / Q000502:physiology; D012044:Regression Analysis; D012639:Seeds / Q000187:drug effects / Q000235:genetics / Q000502:physiology; D000097797:Glyphosate
D005998:Glycine; D006540:Herbicides; D000097797:Glyphosate