The oxidation of steroid derivatives by the CYP125A6 and CYP125A7 enzymes from Mycobacterium marinum.

The members of the bacterial cytochrome P450 (CYP) monooxygenase family CYP125, catalyze the oxidation of steroid derivatives including cholesterol and phytosterols, as the initial activating step in their catabolism. However, several bacterial species contain multiple genes encoding CYP125 enzymes and other CYP enzymes which catalyze cholesterol/cholest-4-en-3-one hydroxylation. An important question is why these bacterium have more than one enzyme with overlapping substrate ranges capable of catalyzing the terminal oxidation of the alkyl chain of these sterols. To further understand the role of these enzymes we investigated CYP125A6 and CYP125A7 from Mycobacterium marinum with various cholesterol analogues. These have modifications on the A and B rings of the steroid and we assessed the substrate binding and catalytic activity of these with each enzyme. CYP125A7 gave similar results to those reported for the CYP125A1 enzyme from M. tuberculosis. Differences in the substrate binding and catalytic activity with the cholesterol analogues were observed with CYP125A6. For example, while cholesteryl sulfate could bind to both enzymes it was only oxidized by CYP125A6 and not by CYP125A7. CYP125A6 generated higher levels of metabolites with the majority of C-3 and C-7 substituted cholesterol analogues such 7-ketocholesterol. However, 5α-cholestan-3β-ol was only oxidized by CYP125A7 enzyme. The cholest-4-en-3-one and 7-ketocholesterol-bound forms of the CYP125A6 and CYP125A7 enzymes were modelled using AlphaFold. The structural models highlighted differences in the binding modes of the steroid derivatives within the same enzyme. Significant changes in the binding mode of the steroids between these CYP125 enzymes and other bacterial cholesterol oxidizing enzymes, CYP142A3 and CYP124A1, were also seen. Despite this, all these models predicted the selectivity for terminal methyl hydroxylation, in agreement with the experimental data.