Abstract
Synthetic biology studies on filamentous fungi are providing unprecedented opportunities for optimizing this important category of microbial cell factory. Artificial transcription factor can be designed and used to offer novel modes of regulation on gene transcription network.Trichoderma reeseiis commonly used for cellulase production. In our previous studies, a plasmid library harboring genes encoding artificial zinc finger proteins (AZFPs) was constructed for engineeringT. reesei, and the mutant strains with improved cellulase production were selected. However, the underlying mechanism by which AZFP function remain unclear. In this study, aT. reeseiRut-C30 mutant strainT. reeseiU5 bearing an AZFP named as AZFP-U5 was focused, which secretes high level protein and shows significantly improved cellulase and xylanase production comparing with its parental strain. In addition, enhanced sugar release was achieved from lignocellulosic biomass using the crude cellulase fromT. reeseiU5. Comparative transcriptome analysis was further performed, which showed reprogramming of global gene transcription and elevated transcription of genes encoding glycoside hydrolases by overexpressingAZFP-U5. Furthermore, 15 candidate regulatory genes which showed remarkable higher transcription levels byAZFP-U5insertion were overexpressed inT. reeseiRut-C30 to examine their effects on cellulase biosynthesis. Among these genes,TrC30_93861(ypr1) andTrC30_74374showed stimulating effects on filter paper activity (FPase), but deletion of these two genes did not affect cellulase activity. In addition, increased yellow pigment production inT. reeseiRut-C30 by overexpression of geneypr1was observed, and changes of cellulase gene transcription were revealed in theypr1deletion mutant, suggesting possible interaction between pigment production and cellulase gene transcription. The results in this study revealed novel aspects in regulation of cellulase gene expression by the artificial regulators. In addition, the candidate genes and processes identified in the transcriptome data can be further explored for synthetic biology design and metabolic engineering ofT. reeseito enhance cellulase production.
