Multi‐Omics Analyses Reveal Divergent Molecular Mechanisms Underlying Plant Biomass Conversion by Five Fungi

Fungal plant biomass conversion (FPBC) is of great importance to the global carbon cycle and has been increasingly applied for the production of biofuel and biochemicals from lignocellulose. However, the comprehensive understanding of relevant molecular mechanisms in different fungi remains challenging. Here, we comparatively analyzed the transcriptome, proteome and metabolome profile of four ascomycetes and one basidiomycete fungi during their growth on two common agricultural feedstocks (soybean hulls and corn stover). We revealed strong time-, substrate- and species-specific responses at multi-omics levels for the tested fungi, highlighting species-specific carbon utilization approaches and evolutionary adaptation to environmental niches. Notably, a remarkable expressional diversity of lignocellulose degrading enzymes, sugar transporter and metabolic genes, as well as industrially relevant metabolites were identified across different fungi and cultivation conditions. The findings improves our understanding of complex molecular networks underlying FPBC and fungal ecological roles, offering novel insights that can guide future genetic engineering of fungi for valorization of agriculture waste into value-added bioproducts.

Authors

Institutions

Publication Details

Journal
MicrobiologyOpen
Published
2025-12-01
DOI
https://doi.org/10.1002/mbo3.70201
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi‐Omics Analyses Reveal Divergent Molecular Mechanisms Underlying Plant Biomass Conversion by Five Fungi

Vivian Ng, Sandra Garrigues, Mao Peng, Scott Baker et al.
MicrobiologyOpen
Biofuel production and bioconversion
article

Multi‐Omics Analyses Reveal Divergent Molecular Mechanisms Underlying Plant Biomass Conversion by Five Fungi

Vivian Ng, Sandra Garrigues, Mao Peng, Scott Baker, Igor V. Grigoriev, Tania Chroumpi, Chaevien Clendinen, Anna Lipzen, Roland S. Kun, María Victoria Aguilar Pontes, Nikola Tolić, Li Xu, Jiali Meng, Ronald P. de Vries, Jiajia Li
article en

Abstract

Fungal plant biomass conversion (FPBC) is of great importance to the global carbon cycle and has been increasingly applied for the production of biofuel and biochemicals from lignocellulose. However, the comprehensive understanding of relevant molecular mechanisms in different fungi remains challenging. Here, we comparatively analyzed the transcriptome, proteome and metabolome profile of four ascomycetes and one basidiomycete fungi during their growth on two common agricultural feedstocks (soybean hulls and corn stover). We revealed strong time-, substrate- and species-specific responses at multi-omics levels for the tested fungi, highlighting species-specific carbon utilization approaches and evolutionary adaptation to environmental niches. Notably, a remarkable expressional diversity of lignocellulose degrading enzymes, sugar transporter and metabolic genes, as well as industrially relevant metabolites were identified across different fungi and cultivation conditions. The findings improves our understanding of complex molecular networks underlying FPBC and fungal ecological roles, offering novel insights that can guide future genetic engineering of fungi for valorization of agriculture waste into value-added bioproducts.

MicrobiologyOpenVol. 14(6)
Pacific Northwest National Laboratory (US), Lawrence Berkeley National Laboratory (US), Joint Genome Institute (US), Environmental Molecular Sciences Laboratory (US), Westerdijk Fungal Biodiversity Institute (NL), Joint BioEnergy Institute (US), University of California, Berkeley (US)
U.S. Department of Energy, Joint Genome Institute, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, China Scholarship Council, Ministry of Infrastructure and Water Management, Office of Science
Openalex Percentile: Top 60%
Biofuel production and bioconversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.