Draft genome of the glucose tolerant β-glucosidase producing rare Aspergillus unguis reveals complete cellulolytic machinery with multiple beta-glucosidase genes.


Journal

Fungal genetics and biology : FG & B
ISSN: 1096-0937
Titre abrégé: Fungal Genet Biol
Pays: United States
ID NLM: 9607601

Informations de publication

Date de publication:
06 2021
Historique:
received: 29 10 2020
revised: 24 02 2021
accepted: 07 03 2021
pubmed: 20 3 2021
medline: 24 11 2021
entrez: 19 3 2021
Statut: ppublish

Résumé

Draft genome sequence of the glucose tolerant beta glucosidase (GT-BGL) producing rare fungus Aspergillus unguis NII 08,123 was generated through Next Generation Sequencing (NGS). The genome size of the fungus was estimated to be 37.1 Mb. A total of 3116 contigs were assembled using SPades, and 15,161 proteins were predicted using AUGUSTUS 3.1. Among them, 13,850 proteins were annotated using UniProt. Distribution of CAZyme genes specifically those encoding lignocellulose degrading enzymes were analyzed and compared with those from the industrial cellulase producer Trichoderma reesei in view of the huge differences in detectable enzyme activities between the fungi, despite the ability of A. unguis to grow on lignocellulose as sole carbon source. Full length gene sequence of the inducible GT-BGL could be identified through tracing back from peptide mass fingerprint. A total of 403 CAZymes were predicted from the genome, which includes 232 glycoside hydrolases (GHs), 12 carbohydrate esterases (CEs), 109 glycosyl transferases (GTs), 15 polysaccharide lyases (PLs), and 35 genes with auxiliary activities (AAs). The high level of zinc finger motif containing transcription factors could possibly hint a tight regulation of the cellulolytic machinery, which may also explain the low cellulase activities even when a complete repertoire of cellulase degrading enzyme genes are present in the fungus.

Identifiants

pubmed: 33737204
pii: S1087-1845(21)00035-9
doi: 10.1016/j.fgb.2021.103551
pii:
doi:

Substances chimiques

Fungal Proteins 0
lignocellulose 11132-73-3
Lignin 9005-53-2
beta-Glucosidase EC 3.2.1.21
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103551

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Prajeesh Kooloth-Valappil (P)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.

Meera Christopher (M)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.

AthiraRaj Sreeja-Raju (A)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.

Reshma M Mathew (RM)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.

Rajasree Kuni-Parambil (R)

Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore- 560012, India.

Amith Abraham (A)

Department of Chemical Engineering, Hanyang University, Seoul, Republic of Korea.

Meena Sankar (M)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India.

Ashok Pandey (A)

Centre for Innovation and Translational Research, CSIR- Indian Institute of Toxicology Research, Lucknow, India.

Rajeev K Sukumaran (RK)

Microbial Processes and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India. Electronic address: rajeevs@niist.res.in.

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Classifications MeSH