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

Publication date

2024-01

Authors

Xu, Li
Li, Jiajia
Gonzalez Ramos, Victor M
Lyra, Christina
Wiebenga, Ad
Grigoriev, Igor V
de Vries, RonaldISNI 0000000391144204
Mäkelä, Miia R
Peng, MaoISNI 0000000507288104

Editors

Advisors

Supervisors

Document Type

Article
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cc_by

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.

Keywords

Fungi, Genome, Prediction, Sugar transporter, Transcriptome, Bioengineering, Waste Management and Disposal, Environmental Engineering, Renewable Energy, Sustainability and the Environment, SDG 7 - Affordable and Clean Energy

Citation

Xu, L, Li, J, Gonzalez Ramos, V M, Lyra, C, Wiebenga, A, Grigoriev, I V, de Vries, R P, Mäkelä, M R & Peng, M 2024, 'Genome-wide prediction and transcriptome analysis of sugar transporters in four ascomycete fungi', Bioresource Technology, vol. 391, no. Pt B, 130006. https://doi.org/10.1016/j.biortech.2023.130006