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Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses

In this study, a high-throughput sequencing approach was applied to discover novel biocatalysts for lignocellulose hydrolysis from three dedicated energy crops, Arundo donax, Eucalyptus camaldulensis and Populus nigra, after natural biodegradation. The microbiomes of the three lignocellulosic biomas...

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Autores principales: Montella, Salvatore, Ventorino, Valeria, Lombard, Vincent, Henrissat, Bernard, Pepe, Olimpia, Faraco, Vincenza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309792/
https://www.ncbi.nlm.nih.gov/pubmed/28198423
http://dx.doi.org/10.1038/srep42623
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author Montella, Salvatore
Ventorino, Valeria
Lombard, Vincent
Henrissat, Bernard
Pepe, Olimpia
Faraco, Vincenza
author_facet Montella, Salvatore
Ventorino, Valeria
Lombard, Vincent
Henrissat, Bernard
Pepe, Olimpia
Faraco, Vincenza
author_sort Montella, Salvatore
collection PubMed
description In this study, a high-throughput sequencing approach was applied to discover novel biocatalysts for lignocellulose hydrolysis from three dedicated energy crops, Arundo donax, Eucalyptus camaldulensis and Populus nigra, after natural biodegradation. The microbiomes of the three lignocellulosic biomasses were dominated by bacterial species (approximately 90%) with the highest representation by the Streptomyces genus both in the total microbial community composition and in the microbial diversity related to GH families of predicted ORFs. Moreover, the functional clustering of the predicted ORFs showed a prevalence of poorly characterized genes, suggesting these lignocellulosic biomasses are potential sources of as yet unknown genes. 1.2%, 0.6% and 3.4% of the total ORFs detected in A. donax, E. camaldulensis and P. nigra, respectively, were putative Carbohydrate-Active Enzymes (CAZymes). Interestingly, the glycoside hydrolases abundance in P. nigra (1.8%) was higher than that detected in the other biomasses investigated in this study. Moreover, a high percentage of (hemi)cellulases with different activities and accessory enzymes (mannanases, polygalacturonases and feruloyl esterases) was detected, confirming that the three analyzed samples were a reservoir of diversified biocatalysts required for an effective lignocellulose saccharification.
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spelling pubmed-53097922017-02-22 Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses Montella, Salvatore Ventorino, Valeria Lombard, Vincent Henrissat, Bernard Pepe, Olimpia Faraco, Vincenza Sci Rep Article In this study, a high-throughput sequencing approach was applied to discover novel biocatalysts for lignocellulose hydrolysis from three dedicated energy crops, Arundo donax, Eucalyptus camaldulensis and Populus nigra, after natural biodegradation. The microbiomes of the three lignocellulosic biomasses were dominated by bacterial species (approximately 90%) with the highest representation by the Streptomyces genus both in the total microbial community composition and in the microbial diversity related to GH families of predicted ORFs. Moreover, the functional clustering of the predicted ORFs showed a prevalence of poorly characterized genes, suggesting these lignocellulosic biomasses are potential sources of as yet unknown genes. 1.2%, 0.6% and 3.4% of the total ORFs detected in A. donax, E. camaldulensis and P. nigra, respectively, were putative Carbohydrate-Active Enzymes (CAZymes). Interestingly, the glycoside hydrolases abundance in P. nigra (1.8%) was higher than that detected in the other biomasses investigated in this study. Moreover, a high percentage of (hemi)cellulases with different activities and accessory enzymes (mannanases, polygalacturonases and feruloyl esterases) was detected, confirming that the three analyzed samples were a reservoir of diversified biocatalysts required for an effective lignocellulose saccharification. Nature Publishing Group 2017-02-15 /pmc/articles/PMC5309792/ /pubmed/28198423 http://dx.doi.org/10.1038/srep42623 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Montella, Salvatore
Ventorino, Valeria
Lombard, Vincent
Henrissat, Bernard
Pepe, Olimpia
Faraco, Vincenza
Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title_full Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title_fullStr Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title_full_unstemmed Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title_short Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
title_sort discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309792/
https://www.ncbi.nlm.nih.gov/pubmed/28198423
http://dx.doi.org/10.1038/srep42623
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