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

Li Xu*, Jiajia Li*, Victor M Gonzalez Ramos*, Christina Lyra*, Ad Wiebenga*, Igor V Grigoriev*, Ronald P de Vries*, Miia R Mäkelä*, Mao Peng*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Article number130006
Number of pages7
JournalBioresource Technology
Volume391
Issue numberPt B
DOIs
Publication statusPublished - 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.

FundersFunder number
U.S. Department of Energy Joint Genome Institute
U.S. Department of EnergyDE-AC02-05CH11231
Office of Science
China Scholarship Council201909110079, 202107720100
Novo Nordisk FondenNNF21OC0067087

    Keywords

    • Fungi
    • Genome
    • Prediction
    • Sugar transporter
    • Transcriptome

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