Genome-wide prediction and transcriptome analysis of sugar transporters in four ascomycete fungi

• Published in: Bioresource technology Vol. 391; no. Pt B
• Main Authors: Xu, Li, Li, Jiajia, Gonzalez Ramos, Victor M., Lyra, Christina, Wiebenga, Ad, Grigoriev, Igor V., de Vries, Ronald P., Mäkelä, Miia R., Peng, Mao
• Format: Journal Article
• Language: English
• Published: United States Elsevier 10.11.2023
• Subjects: BASIC BIOLOGICAL SCIENCES; fungi; genome; prediction; sugar transporter; transcriptome
• ISSN: 0960-8524; 1873-2976

The import of plant-derived small sugars by sugar transporters (STs) has received increasing interest due to its important biological role and great industrial potential. STs are important targets of genetic engineering to improve fungal plant biomass conversion. Comparatively analysis of the genome-wide prevalence and transcriptomics of STs was performed in four filamentous fungi: Aspergillus niger, Aspergillus nidulans, Penicillium subrubescens and Trichoderma reesei. Using phylogenetic analysis and literature mining, their predicted STs were divided into ten subfamilies with putative sugar specificities assigned. In addition, transcriptome analysis revealed complex expression profiles among different STs subfamilies and fungal species, indicating a sophisticated transcriptome regulation and functional diversity of fungal STs. Several STs showed strong co-expression with other genes involved in sugar utilization, encoding CAZymes and sugar catabolic enzymes. This study provides new insights into the diversity of STs at the genomic/transcriptomic level, facilitating their biochemical characterization and metabolic engineering.