bioRxivGenomicsPreprint
Targeting lignocellulolytic gene clusters in novel Trichoderma atroviride and Trichoderma harzianum strains through Bac-guided analysis
Paulo Henrique CampiteliiD, Maria Augusta Crivelente HortaiD, Rafaela Rossi RosoleniD, Juliano Sales MendesiD, Carla Cristina da SilvaiD, Danilo Augusto SforçaiD, Anete Pereira de SouzaiD
Abstract
Lignocellulosic biomass is known as a challenging substrate for enzymatic hydrolysis, increasing the processing cost in biorefineries. In nature, filamentous fungi, including those of the genus Trichoderma, naturally degrade lignocellulose by using an arsenal of hydrolytic and oxidative enzymes that act synergistically with biomass degradation. This work explored the genome organization of target genes of Trichoderma atroviride and Trichoderma harzianum that are able to promote hydrolysis by identifying regions enriched in degradative enzyme-encoding genes, namely, hydrolytic clusters. We employed bacterial artificial chromosome (BAC) methodology to target specific genomic regions to explore their genetic organization, proximal gene context, and gene expression under degradative conditions. Using this tool, it was possible to inspect the linear structure and expression data of target hydrolytic-rich genomic regions. The results offered a genomic perspective of the organization of genome regions related to carbohydrate metabolism, revealing novel genome regions and genes that are positively regulated during cellulose degradation and contributing to elucidating differences in gene organization among Trichoderma species. HighlightsO_LIHigh-quality genomic regions were selected using closely related species CAZyme targets. C_LIO_LIRNA-seq data were used to quantify BAC genes expression. C_LIO_LIRelevant regions were identified by combining functional and differential expression data. C_LIO_LINovel targets for future characterization identified via differential expression. C_LI
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: experimental assay
- Citations
- 0
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