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Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica

Next-generation sequencing (NGS) of the Flammulina rossica (wood-rotting basidiomycete) genome was performed to identify its carbohydrate-active enzymes (CAZymes). De novo genome assembly (31 kmer) revealed a total length of 35,646,506 bp (49.79% GC content). In total, 12,588 gene models of F. rossi...

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Autores principales: Park, Young-Jin, Lee, Chang-Soo, Kong, Won-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843371/
https://www.ncbi.nlm.nih.gov/pubmed/31597238
http://dx.doi.org/10.3390/microorganisms7100421
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author Park, Young-Jin
Lee, Chang-Soo
Kong, Won-Sik
author_facet Park, Young-Jin
Lee, Chang-Soo
Kong, Won-Sik
author_sort Park, Young-Jin
collection PubMed
description Next-generation sequencing (NGS) of the Flammulina rossica (wood-rotting basidiomycete) genome was performed to identify its carbohydrate-active enzymes (CAZymes). De novo genome assembly (31 kmer) revealed a total length of 35,646,506 bp (49.79% GC content). In total, 12,588 gene models of F. rossica were predicted using an ab initio gene prediction tool (AUGUSTUS). Orthologous analysis with other fungal species revealed that 7433 groups contained at least one F. rossica gene. Additionally, 12,033 (95.6%) of 12,588 genes for F. rossica proteins had orthologs among the Dikarya, and F. rossica contained 12 species-specific genes. CAZyme annotation in the F. rossica genome revealed 511 genes predicted to encode CAZymes including 102 auxiliary activities, 236 glycoside hydrolases, 94 glycosyltransferases, 19 polysaccharide lyases, 56 carbohydrate esterases, and 21 carbohydrate binding-modules. Among the 511 genes, several genes were predicted to simultaneously encode two different CAZymes such as glycoside hydrolases (GH) as well as carbohydrate-binding module (CBM). The genome information of F. rossica offers opportunities to understand the wood-degrading machinery of this fungus and will be useful for biotechnological and industrial applications.
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spelling pubmed-68433712019-11-25 Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica Park, Young-Jin Lee, Chang-Soo Kong, Won-Sik Microorganisms Article Next-generation sequencing (NGS) of the Flammulina rossica (wood-rotting basidiomycete) genome was performed to identify its carbohydrate-active enzymes (CAZymes). De novo genome assembly (31 kmer) revealed a total length of 35,646,506 bp (49.79% GC content). In total, 12,588 gene models of F. rossica were predicted using an ab initio gene prediction tool (AUGUSTUS). Orthologous analysis with other fungal species revealed that 7433 groups contained at least one F. rossica gene. Additionally, 12,033 (95.6%) of 12,588 genes for F. rossica proteins had orthologs among the Dikarya, and F. rossica contained 12 species-specific genes. CAZyme annotation in the F. rossica genome revealed 511 genes predicted to encode CAZymes including 102 auxiliary activities, 236 glycoside hydrolases, 94 glycosyltransferases, 19 polysaccharide lyases, 56 carbohydrate esterases, and 21 carbohydrate binding-modules. Among the 511 genes, several genes were predicted to simultaneously encode two different CAZymes such as glycoside hydrolases (GH) as well as carbohydrate-binding module (CBM). The genome information of F. rossica offers opportunities to understand the wood-degrading machinery of this fungus and will be useful for biotechnological and industrial applications. MDPI 2019-10-08 /pmc/articles/PMC6843371/ /pubmed/31597238 http://dx.doi.org/10.3390/microorganisms7100421 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Young-Jin
Lee, Chang-Soo
Kong, Won-Sik
Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title_full Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title_fullStr Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title_full_unstemmed Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title_short Genomic Insights into the Fungal Lignocellulolytic Machinery of Flammulina rossica
title_sort genomic insights into the fungal lignocellulolytic machinery of flammulina rossica
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843371/
https://www.ncbi.nlm.nih.gov/pubmed/31597238
http://dx.doi.org/10.3390/microorganisms7100421
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