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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Lignocellulose Degradation in Bacteria and Fungi for Biomass Conversion

Authors: Hsin, Kuan-Ting; Lee, HueyTyng; Lin, Ying-Chung Jimmy; Chen, Pao-Yang;

Lignocellulose Degradation in Bacteria and Fungi for Biomass Conversion

Abstract

Lignocellulose biomass is one of the most abundant resources for sustainable biofuels. However, scaling up the biomass-to-biofuels conversion process for widespread usage is still pending due to the high cost of enzymes and the labor-intensive need for substrate-dependent enzyme mixtures. Current research efforts are therefore targeted at searching for or engineering lignocellulolytic enzymes of high efficiency. Some microorganisms produce multi-enzyme complexes called cellulosomes for increased degradation efficiency up to 50-fold. Here we examined the presence of cellulosomes in all bacterial and fungal species with protein sequences available. By using cellulosome proteins of one bacteria and one fungi as search queries, a sequence similarity search was performed in two databases: 1) the non-redundant database and 2) the EnsemblFungi database.

Keywords

Sequence alignment, biomass, Carbohydrate-active enzymes, Lignocellulose degradation, Cellulosome

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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