Evidence map›Paper›PMID 28198423›Full record

ArticleScientific reports2017

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

Salvatore Montella, Valeria Ventorino, Vincent Lombard, Bernard Henrissat, Olimpia Pepe, Vincenza Faraco

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  15. International journal of systematic and evolutionary microbiology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Salvatore MontellaDepartment of Chemical Sciences, University of Naples "Federico II", Complesso Universitario Monte S. Angelo, via Cintia, 4 80126 Naples, Italy.
Valeria VentorinoDepartment of Agricultural Sciences, University of Naples "Federico II", Portici (Napoli), Italy.
Vincent LombardCNRS UMR 7257, Aix-Marseille University, 13288 Marseille, France.
Bernard HenrissatCNRS UMR 7257, Aix-Marseille University, 13288 Marseille, France.
Olimpia PepeDepartment of Agricultural Sciences, University of Naples "Federico II", Portici (Napoli), Italy.
Vincenza FaracoDepartment of Chemical Sciences, University of Naples "Federico II", Complesso Universitario Monte S. Angelo, via Cintia, 4 80126 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiomassMetagenomeMetagenomicsBiodegradation, EnvironmentalBiotransformationCarbohydrate MetabolismCellulasesComputational BiologyCrops, AgriculturalGene Expression ProfilingGlycoside HydrolasesHigh-Throughput Nucleotide SequencingHydrolysisLigninMicrobiotaOpen Reading FramesCellulasesGlycoside HydrolasesLigninlignocellulosePolysaccharides

Identifiers

PMID28198423
PMCPMC5309792

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.