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.
Original language | English |
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Article number | 130006 |
Number of pages | 7 |
Journal | Bioresource Technology |
Volume | 391 |
Issue number | Pt B |
DOIs | |
Publication status | Published - Jan 2024 |
Bibliographical note
Publisher Copyright:© 2023 The Authors
Funding
LX and JL gratefully acknowledges the China Scholarship Council Scholarship (grant no: 202107720100 & 201909110079). Funding from the Novo Nordisk Foundation (grant no: NNF21OC0067087) to MRM is acknowledged. The work conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
Funders | Funder number |
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U.S. Department of Energy Joint Genome Institute | |
U.S. Department of Energy | DE-AC02-05CH11231 |
Office of Science | |
China Scholarship Council | 201909110079, 202107720100 |
Novo Nordisk Fonden | NNF21OC0067087 |
Keywords
- Fungi
- Genome
- Prediction
- Sugar transporter
- Transcriptome