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Two Cellobiohydrolase-Encoding Genes from Aspergillus niger Require d -Xylose and the Xylanolytic Transcriptional Activator XlnR for Their Expression

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Gielkens, Marco M. C., Dekkers, Ester, Visser, Jaap, de Graaff, Leo H.·1999·Applied and Environmental Microbiology

Abstract

Two cellobiohydrolase-encoding genes, cbhA and cbhB , have been isolated from the filamentous fungus Aspergillus niger . The deduced amino acid sequence shows that CbhB has a modular structure consisting of a fungus-type cellulose-binding domain (CBD) and a catalytic domain separated by a Pro/Ser/Thr-rich linker peptide. CbhA consists only of a catalytic domain and lacks a CBD and linker peptide. Both proteins are homologous to fungal cellobiohydrolases in family 7 of the glycosyl hydrolases. Northern blot analysis showed that the transcription of the cbhA and cbhB genes is induced by d -xylose but not by sophorose and, in addition, requires the xylanolytic transcriptional activator XlnR.

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Metadata

Authors
Gielkens, M. M. C., Dekkers, E., Visser, J., & de Graaff, L. H.
Venue
Applied and Environmental Microbiology
Published
1999-10
Volume
65
Issue
10
Pages
4340-4345
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W2156545952
Cited by
205
References
0
FWCI
1.74
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Two Cellobiohydrolase-Encoding Genes from Aspergillus niger Require d -Xylose and the Xylanolytic Transcriptional Activator XlnR for Their Expression. https://app.cochat.ai/papers/10.1128/aem.65.10.4340-4345.1999
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Gielkens, M. M. C., Dekkers, E., Visser, J., & de Graaff, L. H. (1999). Two Cellobiohydrolase-Encoding Genes from Aspergillus niger Require d -Xylose and the Xylanolytic Transcriptional Activator XlnR for Their Expression. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.65.10.4340-4345.1999

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.