PoplarV1, Main, Exploration, bibRecord, 001D73

Exploring the microbiota dynamics related to vegetable biomasses degradation and study of lignocellulose-degrading bacteria for industrial biotechnological application.

Identifieur interne : 001D73 ( Main/Exploration ); précédent : 001D72; suivant : 001D74

Exploring the microbiota dynamics related to vegetable biomasses degradation and study of lignocellulose-degrading bacteria for industrial biotechnological application.

Auteurs : Valeria Ventorino [Italie] ; Alberto Aliberti [Italie] ; Vincenza Faraco [Italie] ; Alessandro Robertiello [Italie] ; Simona Giacobbe [Italie] ; Danilo Ercolini [Italie] ; Antonella Amore [Italie] ; Massimo Fagnano [Italie] ; Olimpia Pepe [Italie]

Source :

Scientific reports [ 2045-2322 ] ; 2015.

RBID : pubmed:25641069

Descripteurs français

KwdFr :
- ARN ribosomique 16S (analyse), Analyse de séquence d'ADN (MeSH), Analyse en composantes principales (MeSH), Bactéries (classification), Bactéries (enzymologie), Bactéries (génétique), Biomasse (MeSH), Données de séquences moléculaires (MeSH), Enzymes (métabolisme), Lignine (métabolisme), Légumes (microbiologie), Microbiote (MeSH), Phylogenèse (MeSH), Protéines bactériennes (métabolisme), Séquence nucléotidique (MeSH), Séquençage nucléotidique à haut débit (MeSH).
MESH :
- analyse : ARN ribosomique 16S.
- enzymologie : Bactéries.
- génétique : Bactéries.
- microbiologie : Légumes.
- métabolisme : Bactéries, Enzymes, Lignine, Protéines bactériennes.
- Analyse de séquence d'ADN, Analyse en composantes principales, Biomasse, Données de séquences moléculaires, Microbiote, Phylogenèse, Séquence nucléotidique, Séquençage nucléotidique à haut débit.

English descriptors

KwdEn :
- Bacteria (classification), Bacteria (enzymology), Bacteria (genetics), Bacterial Proteins (metabolism), Base Sequence (MeSH), Biomass (MeSH), Enzymes (metabolism), High-Throughput Nucleotide Sequencing (MeSH), Lignin (metabolism), Microbiota (MeSH), Molecular Sequence Data (MeSH), Phylogeny (MeSH), Principal Component Analysis (MeSH), RNA, Ribosomal, 16S (analysis), Sequence Analysis, DNA (MeSH), Vegetables (microbiology).
MESH :
- chemical , analysis : RNA, Ribosomal, 16S.
- chemical , metabolism : Bacterial Proteins, Enzymes, Lignin.
- classification : Bacteria.
- enzymology : Bacteria.
- genetics : Bacteria.
- microbiology : Vegetables.
- Base Sequence, Biomass, High-Throughput Nucleotide Sequencing, Microbiota, Molecular Sequence Data, Phylogeny, Principal Component Analysis, Sequence Analysis, DNA.

Abstract

The aims of this study were to evaluate the microbial diversity of different lignocellulosic biomasses during degradation under natural conditions and to isolate, select, characterise new well-adapted bacterial strains to detect potentially improved enzyme-producing bacteria. The microbiota of biomass piles of Arundo donax, Eucalyptus camaldulensis and Populus nigra were evaluated by high-throughput sequencing. A highly complex bacterial community was found, composed of ubiquitous bacteria, with the highest representation by the Actinobacteria, Proteobacteria, Bacteroidetes and Firmicutes phyla. The abundances of the major and minor taxa retrieved during the process were determined by the selective pressure produced by the lignocellulosic plant species and degradation conditions. Moreover, cellulolytic bacteria were isolated using differential substrates and screened for cellulase, cellobiase, xylanase, pectinase and ligninase activities. Forty strains that showed multienzymatic activity were selected and identified. The highest endo-cellulase activity was seen in Promicromonospora sukumoe CE86 and Isoptericola variabilis CA84, which were able to degrade cellulose, cellobiose and xylan. Sixty-two percent of bacterial strains tested exhibited high extracellular endo-1,4-ß-glucanase activity in liquid media. These approaches show that the microbiota of lignocellulosic biomasses can be considered an important source of bacterial strains to upgrade the feasibility of lignocellulose conversion for the 'greener' technology of second-generation biofuels.

DOI: 10.1038/srep08161
PubMed: 25641069
PubMed Central: PMC4648445

Affiliations:

Italie

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 001E24
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Le document en format XML

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<front><div type="abstract" xml:lang="en">The aims of this study were to evaluate the microbial diversity of different lignocellulosic biomasses during degradation under natural conditions and to isolate, select, characterise new well-adapted bacterial strains to detect potentially improved enzyme-producing bacteria. The microbiota of biomass piles of Arundo donax, Eucalyptus camaldulensis and Populus nigra were evaluated by high-throughput sequencing. A highly complex bacterial community was found, composed of ubiquitous bacteria, with the highest representation by the Actinobacteria, Proteobacteria, Bacteroidetes and Firmicutes phyla. The abundances of the major and minor taxa retrieved during the process were determined by the selective pressure produced by the lignocellulosic plant species and degradation conditions. Moreover, cellulolytic bacteria were isolated using differential substrates and screened for cellulase, cellobiase, xylanase, pectinase and ligninase activities. Forty strains that showed multienzymatic activity were selected and identified. The highest endo-cellulase activity was seen in Promicromonospora sukumoe CE86 and Isoptericola variabilis CA84, which were able to degrade cellulose, cellobiose and xylan. Sixty-two percent of bacterial strains tested exhibited high extracellular endo-1,4-ß-glucanase activity in liquid media. These approaches show that the microbiota of lignocellulosic biomasses can be considered an important source of bacterial strains to upgrade the feasibility of lignocellulose conversion for the 'greener' technology of second-generation biofuels. </div>
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<Abstract><AbstractText>The aims of this study were to evaluate the microbial diversity of different lignocellulosic biomasses during degradation under natural conditions and to isolate, select, characterise new well-adapted bacterial strains to detect potentially improved enzyme-producing bacteria. The microbiota of biomass piles of Arundo donax, Eucalyptus camaldulensis and Populus nigra were evaluated by high-throughput sequencing. A highly complex bacterial community was found, composed of ubiquitous bacteria, with the highest representation by the Actinobacteria, Proteobacteria, Bacteroidetes and Firmicutes phyla. The abundances of the major and minor taxa retrieved during the process were determined by the selective pressure produced by the lignocellulosic plant species and degradation conditions. Moreover, cellulolytic bacteria were isolated using differential substrates and screened for cellulase, cellobiase, xylanase, pectinase and ligninase activities. Forty strains that showed multienzymatic activity were selected and identified. The highest endo-cellulase activity was seen in Promicromonospora sukumoe CE86 and Isoptericola variabilis CA84, which were able to degrade cellulose, cellobiose and xylan. Sixty-two percent of bacterial strains tested exhibited high extracellular endo-1,4-ß-glucanase activity in liquid media. These approaches show that the microbiota of lignocellulosic biomasses can be considered an important source of bacterial strains to upgrade the feasibility of lignocellulose conversion for the 'greener' technology of second-generation biofuels. </AbstractText>
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Exploring the microbiota dynamics related to vegetable biomasses degradation and study of lignocellulose-degrading bacteria for industrial biotechnological application.

Exploring the microbiota dynamics related to vegetable biomasses degradation and study of lignocellulose-degrading bacteria for industrial biotechnological application.

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