A phosphite-based screening platform for identification of enzymes favoring nonnatural cofactors.
A phosphite-based screening platform for identification of enzymes favoring nonnatural cofactors.
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DOI:
10.1038/s41598-022-16599-0
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发表时间:
2022-07-21
影响因子:
4.6
通讯作者:
Zhao, Zongbao K.
中科院分区:
文献类型:
--
作者:
Liu, Yuxue;Li, Zhuoya;Guo, Xiaojia;Wang, Xueying;Zhao, Zongbao K.
Enzymes with dedicated cofactor preference are essential for advanced biocatalysis and biomanufacturing, especially when employing nonnatural nicotinamide cofactors in redox reactions. However, directed evolution of an enzyme to switch its cofactor preference is often hindered by the lack of efficient and affordable method for screening as the cofactor per se or the substrate can be prohibitively expensive. Here, we developed a growth-based selection platform to identify nonnatural cofactor-dependent oxidoreductase mutants. The growth of bacteria depended on the nicotinamide cytosine dinucleotide (NCD) mediated conversion of non-metabolizable phosphite into phosphate. The strain BW14329 lacking the ability to oxidize phosphite was suitable as host, and NCD-dependent phosphite dehydrogenase (Pdh*) is essential to the selection platform. Previously confirmed NCD synthetase with NCD synthesis capacity and NCD-dependent malic enzyme were successfully identified by using the platform. The feasibility of this strategy was successfully demonstrated using derived NCD-active malic enzyme as well as for the directed evolution of NCD synthetase in Escherichia coli. A phosphite-based screening platform was built for identification of enzymes favoring nonnatural cofactor NCD. In the future, once Pdh variants favoring other biomimetic or nonnatural cofactors are available this selection platform may be readily redesigned to attain new enzyme variants with anticipated cofactor preference, providing opportunities to further expand the chemical space of redox cofactors in chemical biology and synthetic biology.
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影响因子:
16.6
作者:
Wang X;Feng Y;Guo X;Wang Q;Ning S;Li Q;Wang J;Wang L;Zhao ZK
通讯作者:
Zhao ZK
影响因子:
7.7
作者:
King E;Maxel S;Li H
通讯作者:
Li H
影响因子:
15
作者:
Knaus T;Paul CE;Levy CW;de Vries S;Mutti FG;Hollmann F;Scrutton NS
通讯作者:
Scrutton NS
影响因子:
12.9
作者:
Maxel S;Aspacio D;King E;Zhang L;Acosta AP;Li H
通讯作者:
Li H
影响因子:
3.2
作者:
Nowak, Claudia;Pick, Andre;Sieber, Volker
通讯作者:
Sieber, Volker