parathion hydrolase
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2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Dave W. Anderson ◽  
Florian Baier ◽  
Gloria Yang ◽  
Nobuhiko Tokuriki

AbstractEnzymes can evolve new catalytic activity when environmental changes present them with novel substrates. Despite this seemingly straightforward relationship, factors other than the direct catalytic target can also impact adaptation. Here, we characterize the catalytic activity of a recently evolved bacterial methyl-parathion hydrolase for all possible combinations of the five functionally relevant mutations under eight different laboratory conditions (in which an alternative divalent metal is supplemented). The resultant adaptive landscapes across this historical evolutionary transition vary in terms of both the number of “fitness peaks” as well as the genotype(s) at which they are found as a result of genotype-by-environment interactions and environment-dependent epistasis. This suggests that adaptive landscapes may be fluid and 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 towards distinct outcomes.



2019 ◽  
Author(s):  
Dave W. Anderson ◽  
Florian Baier ◽  
Gloria Yang ◽  
Nobuhiko Tokuriki

AbstractEnzymes 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 (G×E) interactions and environment-dependent epistasis (G×G×E). 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.



2019 ◽  
Vol 61 (11) ◽  
pp. 816-825
Author(s):  
Lu Bian ◽  
Zhen Zhang ◽  
Rong-xing Tang ◽  
Wei Shen ◽  
Li-xin Ma




2017 ◽  
Vol 28 (8) ◽  
pp. 1675-1680 ◽  
Author(s):  
Wei Song ◽  
Hai-Juan Zhang ◽  
Ying-Hua Liu ◽  
Cui-Ling Ren ◽  
Hong-Li Chen


Author(s):  
Miha Purg ◽  
Anna Pabis ◽  
Florian Baier ◽  
Nobuhiko Tokuriki ◽  
Colin Jackson ◽  
...  

Diverse organophosphate hydrolases have convergently evolved the ability to hydrolyse man-made organophosphates. Thus, these enzymes are attractive model systems for studying the factors shaping enzyme functional evolution. Methyl parathion hydrolase (MPH) is an enzyme from the metallo-β-lactamase superfamily, which hydrolyses a wide range of organophosphate, aryl ester and lactone substrates. In addition, MPH demonstrates metal-ion-dependent selectivity patterns. The origins of this remain unclear, but are linked to open questions about the more general role of metal ions in functional evolution and divergence within enzyme superfamilies. Here, we present detailed mechanistic studies of the paraoxonase and arylesterase activities of MPH complexed with five different transition metal ions, and demonstrate that the hydrolysis reactions proceed via similar pathways and transition states. However, while it is possible to discern a clear structural origin for the selectivity between different substrates , the selectivity between different metal ions appears to lie instead in the distinct electrostatic properties of the metal ions themselves, which causes subtle changes in transition state geometries and metal–metal distances at the transition state rather than significant structural changes in the active site. While subtle, these differences can be significant for shaping the metal-ion-dependent activity patterns observed for this enzyme. This article is part of the themed issue ‘Multiscale modelling at the physics–chemistry–biology interface’.



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