henhaobio
Sign in

bioRxivSynthetic BiologyPreprint

Discovery and Characterization of Novel Lignocellulose-Degrading Enzymes from the Porcupine Microbiome by Synthetic Metagenomics

Mackenzie ThornburyiD, Jacob Sicheri, Caroline GuinardiD, David Burke James MahoneyiD, Francis Routledge, M. M. Curry, Mariam Elaghil, Nicholas Boudreau, Angela Tsai, Patrick D. Slaine, Emma CL Finlayson-TrickiD, Landon J. GetziD, Jamie Cook, John R. RohdeiD, Craig McCormickiD

PDFDOI

Abstract

Plant cell walls are comprised of cellulose, hemicellulose, and lignin, collectively known as lignocellulose. Microorganisms degrade these components to liberate sugars to meet metabolic demands. Using a metagenomic sequencing approach, we previously demonstrated that the microbiome of the North American porcupine (Erethizon dorsatum) is replete with novel lignocellulose-degrading enzymes. Here, we report the identification, synthesis and partial characterization of four genes from the porcupine microbiome encoding putative novel lignocellulose-degrading enzymes, including a {beta}-xylanase, endoxylanase, {beta}-glucosidase, and an -L-arabinofuranosidase. These genes were identified via conserved catalytic domains associated with cellulose and hemicellulose degradation. We cloned the putative {beta}-xylanase into the pET26b(+) plasmid, enabling inducible gene expression in Escherichia coli (E. coli) and periplasmic localization. We demonstrated IPTG-inducible accumulation of {beta}-xylanase protein but failed to detect xylobiose degrading activity in a reporter assay. Alternative assays may be required to measure activity of this putative {beta}-xylanase. In this report, we describe how a synthetic metagenomic pipeline can be used to identify novel microbial lignocellulose-degrading enzymes and take initial steps to introduce a hemicellulose-degradation pathway into E. coli to enable biofuel production from wood pulp feedstock.

Citations
2

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISUfarté '24Konietzny '14Kougias '18Linares-Pas '20Georgiadou '21Wilhelm '18
68% semantic matchBiochemistry
Lisa Ufarté, Élisabeth Laville, Adèle Lazuka+17 more·bioRxiv·Mar 15, 2024· 2 citations