4.6 Article

The Sugar Metabolic Model of Aspergillus niger Can Only Be Reliably Transferred to Fungi of Its Phylum

期刊

JOURNAL OF FUNGI
卷 8, 期 12, 页码 -

出版社

MDPI
DOI: 10.3390/jof8121315

关键词

sugar catabolism; orthology-based approach; metabolism network; transcriptome analysis

资金

  1. China Scholarship Council (CSC)
  2. Dutch Research Council (NWO) [201909110079, 15807]
  3. Applied Science Division (TTW) of the Dutch Research Council (NWO) [201907720027]
  4. Biotechnology and Safety Program of the Ministry of Infrastructure and Water Management
  5. Postdoctoral Researcher fellowship from Mexico Government (CONACYT) [ALWOP. 233]
  6. Academy of Finland [360912]
  7. [308284]
  8. [348443]

向作者/读者索取更多资源

Fungi play a critical role in the global carbon cycle by degrading plant polysaccharides to small sugars and metabolizing them as carbon and energy sources. This study mapped the sugar metabolic network of Aspergillus niger to other fungi species and found that the diversity of sugar metabolism is correlated with taxonomic distance. Integrative analysis of transcriptome, proteome, and metabolome confirmed these results and provided a valuable resource for rational metabolic engineering.
Fungi play a critical role in the global carbon cycle by degrading plant polysaccharides to small sugars and metabolizing them as carbon and energy sources. We mapped the well-established sugar metabolic network of Aspergillus niger to five taxonomically distant species (Aspergillus nidulans, Penicillium subrubescens, Trichoderma reesei, Phanerochaete chrysosporium and Dichomitus squalens) using an orthology-based approach. The diversity of sugar metabolism correlates well with the taxonomic distance of the fungi. The pathways are highly conserved between the three studied Eurotiomycetes (A. niger, A. nidulans, P. subrubescens). A higher level of diversity was observed between the T. reesei and A. niger, and even more so for the two Basidiomycetes. These results were confirmed by integrative analysis of transcriptome, proteome and metabolome, as well as growth profiles of the fungi growing on the corresponding sugars. In conclusion, the establishment of sugar pathway models in different fungi revealed the diversity of fungal sugar conversion and provided a valuable resource for the community, which would facilitate rational metabolic engineering of these fungi as microbial cell factories.

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