학술논문

Genome-wide prediction and transcriptome analysis of sugar transporters in four ascomycete fungi
Document Type
article
Source
Bioresource Technology. 391(Pt B)
Subject
Microbiology
Biological Sciences
Genetics
Industrial Biotechnology
Emerging Infectious Diseases
Human Genome
Biotechnology
Phylogeny
Fungal Proteins
Ascomycota
Gene Expression Profiling
Transcriptome
Sugars
Sugar transporter
Prediction
Genome
Fungi
Agricultural biotechnology
Industrial biotechnology
Language
Abstract
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.