Bioinformatics-assisted mining and design of novel pullulanase suitable for starch cold hydrolysis.

Abstract

Cold-active pullulanases with good catalytic performance possess promising applications in cold hydrolysis of starch. Adopting bioinformatics-assisted mining strategies, 7 candidate cold-active pullulanases were initially screened out from IMG/MER database. Among the candidates, PulBs exhibited good thermostability and the highest specific activity of 147.4 U/mg. The half-life of PulBs was about 200 h at 35 °C. Employing PulBs as the initial enzyme, the active-site design of FuncLib was implemented to enhance the activity. The design PulBs-20 exhibited an enhanced specific activity of 209.9 U/mg, which was 1.4 times that of PulBs. Furthermore, the thermostability of PulBs-20 was augmented, with a half-life of 250 h at 35 °C. When applied in the cold hydrolysis of starch, PulBs-20 can effectively enhance the hydrolysis effect of raw starch. Supplemented with the raw starch-hydrolyzing α-amylase AmyZ1 and PulBs-20, the hydrolysis rate of raw corn starch increased to 53.5 %, which was 1.3 times that of using AmyZ1 alone. Due to its high hydrolysis activity and good thermostability, PulBs-20 can serve as an efficient accessory enzyme in starch cold hydrolysis.