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Penicillium subrubescens adapts its enzyme production to the composition of plant biomass

Authors: Dilokpimol, Adiphol; Peng, Mao; Di Falco, Marcos; Chin A Woeng, Thomas; Hegi, Rosa M.W.; Granchi, Zoraide; Tsang, Adrian; +3 Authors

Penicillium subrubescens adapts its enzyme production to the composition of plant biomass

Abstract

Penicillium subrubescens is able to degrade a broad range of plant biomass and it has an expanded set of Carbohydrate Active enzyme (CAZyme)-encoding genes in comparison to other Penicillium species. Here we used exoproteome and transcriptome analysis to demonstrate the versatile plant biomass degradation mechanism by P. subrubescens during growth on wheat bran and sugar beet pulp. On wheat bran P. subrubescens degraded xylan main chain and side residues from Day 2 of cultivation, whereas it started to degrade side chains of pectin in sugar beet pulp prior to attacking the main chain on Day 3. In addition, on Day 3 the cellulolytic enzymes were highly increased. Our results confirm that P. subrubescens adapts its enzyme production to the available plant biomass and is a promising new fungal cell factory for the production of CAZymes.

Countries
Netherlands, Finland
Keywords

Environmental Engineering, Exoproteome, bran, Bioengineering, ASPERGILLUS-NIGER, Industrial biotechnology, SDG 7 - Affordable and Clean Energy, Biomass, Waste Management and Disposal, plant biomass, degradation, 11832 Microbiology and virology, Plant biomass, Renewable Energy, Sustainability and the Environment, Gene Expression Profiling, Fungi, Penicillium, Plants, CAZyme, Transcriptome, transcriptome, reveals, Penicillium subrubescens

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green
hybrid