pH Tunes the DNA Repair Efficiency and Strand Preference of the AlkB Family Enzymes.

AlkB-family Fe(II)/2-oxoglutarate-dependent dioxygenases repair alkylated nucleic acid lesions through oxidative dealkylation and play important roles in genome maintenance. 1-Methyl-2'-deoxyadenosine (1mA) and 3-methyl-2'-deoxycytidine (3mC) are well-established substrates of AlkB, ALKBH2, and ALKBH3. Although these enzymes have been extensively studied, the influence of proton concentration (pH) on their catalytic behavior and strand preference remains poorly defined. Here, we systematically examined how pH modulates the activity of the prototypical bacterial AlkB and the human homologues ALKBH2 and ALKBH3 using defined DNA substrates in both single-stranded (ssDNA) and double-stranded (dsDNA) contexts containing 1mA and 3mC lesions. Across a broad pH range, all three enzymes mainly exhibit bell-shaped activity profiles with distinct optima. The prevailing view in the field is that AlkB preferentially repairs these lesions in ssDNA, ALKBH2 favors dsDNA, and ALKBH3 prefers ssDNA. However, our results demonstrate that pH influences the catalytic efficiency and strand utilization in a substrate- and enzyme-dependent manner. AlkB maintains a consistent ssDNA preference for 3mC but exhibits variable strand preference for 1mA at different pH values. ALKBH2 retains a strong dsDNA preference for 1mA across all conditions but shows a clear pH-dependent strand switch for 3mC, favoring ssDNA under acidic conditions and preferring dsDNA at neutral to alkaline pH conditions. In contrast, ALKBH3 consistently favors ssDNA for 3mC but exhibits pH-dependent strand preference for 1mA. Our results show that the reported strand preferences largely hold at pH 7.0-8.0 but are not complete, as strand utilization and pH optima vary by enzyme and substrate. The observations demonstrate that proton availability strongly influences AlkB-family catalysis and is an important factor in how these enzymes process damaged DNA. These findings may also aid the optimization of AlkB-based protein engineering and sequencing technologies.