» Articles » PMID: 19053460

High-throughput Selection for Cellulase Catalysts Using Chemical Complementation

Overview
Journal J Am Chem Soc
Specialty Chemistry
Date 2008 Dec 5
PMID 19053460
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Efficient enzymatic hydrolysis of lignocellulosic material remains one of the major bottlenecks to cost-effective conversion of biomass to ethanol. Improvement of glycosylhydrolases, however, is limited by existing medium-throughput screening technologies. Here, we report the first high-throughput selection for cellulase catalysts. This selection was developed by adapting chemical complementation to provide a growth assay for bond cleavage reactions. First, a URA3 counter selection was adapted to link chemical dimerizer activated gene transcription to cell death. Next, the URA3 counter selection was shown to detect cellulase activity based on cleavage of a tetrasaccharide chemical dimerizer substrate and decrease in expression of the toxic URA3 reporter. Finally, the utility of the cellulase selection was assessed by isolating cellulases with improved activity from a cellulase library created by family DNA shuffling. This application provides further evidence that chemical complementation can be readily adapted to detect different enzymatic activities for important chemical transformations for which no natural selection exists. Because of the large number of enzyme variants that selections can now test as compared to existing medium-throughput screens for cellulases, this assay has the potential to impact the discovery of improved cellulases and other glycosylhydrolases for biomass conversion from libraries of cellulases created by mutagenesis or obtained from natural biodiversity.

Citing Articles

Carbohydrate-active enzyme (CAZyme) discovery and engineering (Ultra)high-throughput screening.

Wardman J, Withers S RSC Chem Biol. 2024; 5(7):595-616.

PMID: 38966674 PMC: 11221537. DOI: 10.1039/d4cb00024b.


Measurement of filter paper activities of cellulase with microplate-based assay.

Yu X, Liu Y, Cui Y, Cheng Q, Zhang Z, Lu J Saudi J Biol Sci. 2016; 23(1):S93-8.

PMID: 26858572 PMC: 4705267. DOI: 10.1016/j.sjbs.2015.06.018.


Methods for the directed evolution of proteins.

Packer M, Liu D Nat Rev Genet. 2015; 16(7):379-94.

PMID: 26055155 DOI: 10.1038/nrg3927.


Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Currin A, Swainston N, Day P, Kell D Chem Soc Rev. 2014; 44(5):1172-239.

PMID: 25503938 PMC: 4349129. DOI: 10.1039/c4cs00351a.


Transcriptional regulation improves the throughput of three-hybrid counter selections in Saccharomyces cerevisiae.

Harton M, Wingler L, Cornish V Biotechnol J. 2013; 8(12):1485-91.

PMID: 24318638 PMC: 8896811. DOI: 10.1002/biot.201300186.


References
1.
Kim Y, Jung H, Pan J . Bacterial cell surface display of an enzyme library for selective screening of improved cellulase variants. Appl Environ Microbiol. 2000; 66(2):788-93. PMC: 91897. DOI: 10.1128/AEM.66.2.788-793.2000. View

2.
Ferrer M, Martinez-Abarca F, Golyshin P . Mining genomes and 'metagenomes' for novel catalysts. Curr Opin Biotechnol. 2005; 16(6):588-93. DOI: 10.1016/j.copbio.2005.09.001. View

3.
Varrot A, Schulein M, Fruchard S, Driguez H, Davies G . Atomic resolution structure of endoglucanase Cel5A in complex with methyl 4,4II,4III,4IV-tetrathio-alpha-cellopentoside highlights the alternative binding modes targeted by substrate mimics. Acta Crystallogr D Biol Crystallogr. 2001; 57(Pt 11):1739-42. DOI: 10.1107/s0907444901013993. View

4.
Gray K, Zhao L, Emptage M . Bioethanol. Curr Opin Chem Biol. 2006; 10(2):141-6. DOI: 10.1016/j.cbpa.2006.02.035. View

5.
Schwede T, Kopp J, Guex N, Peitsch M . SWISS-MODEL: An automated protein homology-modeling server. Nucleic Acids Res. 2003; 31(13):3381-5. PMC: 168927. DOI: 10.1093/nar/gkg520. View