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利用功能宏基因组学发现新型羰基还原酶及其在生物催化中的应用

Discovery of New Carbonyl Reductases Using Functional Metagenomics and Applications in Biocatalysis.

作者信息

Newgas Sophie A, Jeffries Jack W E, Moody Thomas S, Ward John M, Hailes Helen C

机构信息

Department of Chemistry University College London 20 Gordon Street London WC1H 0AJ U.K.

Department of Biochemical Engineering Bernard Katz Building University College London London WC1E 6BT U.K.

出版信息

Adv Synth Catal. 2021 Jun 21;363(12):3044-3052. doi: 10.1002/adsc.202100199. Epub 2021 May 4.

Abstract

Enzyme discovery for use in the manufacture of chemicals, requiring high stereoselectivities, continues to be an important avenue of research. Here, a sequence directed metagenomics approach is described to identify short chain carbonyl reductases. PCR from a metagenomic template generated 37 enzymes, with an average 25% sequence identity, twelve of which showed interesting activities in initial screens. Six of the most productive enzymes were then tested against a panel of 21 substrates, including bulkier substrates that have been noted as challenging in biocatalytic reductions. Two enzymes were selected for further studies with the Wieland Miescher ketone. Notably, enzyme SDR-17, when co-expressed with a co-factor recycling system produced the -(4a,5) isomer in excellent isolated yields of 89% and 99% . These results demonstrate the viability of a sequence directed metagenomics approach for the identification of multiple homologous sequences with low similarity, that can yield highly stereoselective enzymes with applicability in industrial biocatalysis.

摘要

用于制造化学品的酶的发现,需要高立体选择性,仍然是一个重要的研究途径。在此,描述了一种序列导向的宏基因组学方法来鉴定短链羰基还原酶。从宏基因组模板进行PCR产生了37种酶,平均序列同一性为25%,其中12种在初步筛选中显示出有趣的活性。然后针对一组21种底物测试了六种最有活性的酶,包括在生物催化还原中被认为具有挑战性的更大体积底物。选择了两种酶与 Wieland Miescher 酮进行进一步研究。值得注意的是,酶SDR-17与辅因子循环系统共表达时,以89%和99%的优异分离产率产生了-(4a,5)异构体。这些结果证明了序列导向的宏基因组学方法用于鉴定低相似性的多个同源序列的可行性,可以产生在工业生物催化中具有适用性的高立体选择性酶。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e1a/8360200/ee9572d4b948/ADSC-363-3044-g003.jpg

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