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Anderson, D. W.

Publications and source records attributed to Anderson, D. W..

2 recordsLinked to original sources

Secondary environmental variation creates a shifting evolutionary watershed for the methyl- parathion hydrolase enzyme

Enzymes can evolve new catalytic activity when their environments change to present them with novel substrates. Despite this seemingly straightforward relationship, factors other than the direct catalytic target can also impact enzyme adaptation. Here, we characterize the adaptive landscape separating an ancestral dihydrocoumarin hydrolase from a methyl parathion hydrolase descendant under eight different environments supplemented with alternative divalent metals. This variation shifts an evolutionary watershed, causing the outcome of adaptation to depend on the environment in which it occurs. The resultant landscapes also vary in terms both the number and the genotype(s) of \"fitness peaks\" as a result of genotype-by-environment (GxE) interactions and environment-dependent epistasis (GxGxE). This suggests that adaptive landscapes may be fluid and that molecular adaptation is highly contingent not only on obvious factors (such as catalytic targets) but also on less obvious secondary environmental factors that can direct it toward distinct outcomes.

evolutionary biology

Higher-order epistatic networks underlie the evolutionary fitness landscape of a xenobiotic- degrading enzyme

Characterizing the adaptive landscapes that encompass the emergence of novel enzyme functions can provide molecular insights into both enzymatic and evolutionary mechanisms. Here, we combine ancestral protein reconstruction with biochemical, structural, and mutational analyses to characterize the functional evolution of methyl-parathion hydrolase (MPH), a xenobiotic organophosphate-degrading enzyme. We identify five mutations that are necessary and sufficient for the evolution of MPH from an ancestral dihydrocoumarin hydrolase. In-depth analyses of the adaptive landscapes encompassing this evolutionary transition revealed that a complex interaction network, defined in part by higher-order epistasis, determined the adaptive pathways that were available. By also characterizing the adaptive landscapes in terms of their functional activity towards three other OP substrates, we reveal that subtle differences in substrate substituents drastically alter the enzymes epistatic network by changing its intramolecular interactions. Our work suggests that the mutations function collectively to enable substrate recognition via subtle structural repositioning.

biochemistry