Evidence map›Paper›PMID 23672637›Full record

ArticleBiotechnology for biofuels2013

Mining for hemicellulases in the fungus-growing termite Pseudacanthotermes militaris using functional metagenomics.

Géraldine Bastien, Grégory Arnal, Sophie Bozonnet, Sandrine Laguerre, Fernando Ferreira, Régis Fauré, Bernard Henrissat, Fabrice Lefèvre, Patrick Robe, Olivier Bouchez and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

32 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
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  4. Stabilization of Enzymes by Using Thermophiles.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
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  14. Recent Advances in Function-based Metagenomic Screening.Genomics, proteomics & bioinformatics · 2018
    Review
  15. Article
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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

13 authors at 6 institutions in 1 country.

Géraldine BastienUniversité de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, Toulouse F-31077, France. michael.odonohue@insa-toulouse.fr.
Grégory Arnal
Sophie Bozonnet
Sandrine Laguerre
Fernando Ferreira
Régis Fauré
Bernard Henrissat
Fabrice Lefèvre
Patrick Robe
Olivier Bouchez
Céline Noirot
Claire Dumon
Michael O'Donohue
Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés · FRCentre National de la Recherche Scientifique · FRParis Biotech Santé · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversité Toulouse III - Paul Sabatier · FRLaboratoire de Génétique Cellulaire · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe metagenomic analysis of gut microbiomes has emerged as a powerful strategy for the identification of biomass-degrading enzymes, which will be no doubt useful for the development of advanced biorefining processes. In the present study, we have performed a functional metagenomic analysis on comb and gut microbiomes associated with the fungus-growing termite, Pseudacanthotermes militaris.

resultsUsing whole termite abdomens and fungal-comb material respectively, two fosmid-based metagenomic libraries were created and screened for the presence of xylan-degrading enzymes. This revealed 101 positive clones, corresponding to an extremely high global hit rate of 0.49%. Many clones displayed either β-d-xylosidase (EC 3.2.1.37) or α-l-arabinofuranosidase (EC 3.2.1.55) activity, while others displayed the ability to degrade AZCL-xylan or AZCL-β-(1,3)-β-(1,4)-glucan. Using secondary screening it was possible to pinpoint clones of interest that were used to prepare fosmid DNA. Sequencing of fosmid DNA generated 1.46 Mbp of sequence data, and bioinformatics analysis revealed 63 sequences encoding putative carbohydrate-active enzymes, with many of these forming parts of sequence clusters, probably having carbohydrate degradation and metabolic functions. Taxonomic assignment of the different sequences revealed that Firmicutes and Bacteroidetes were predominant phyla in the gut sample, while microbial diversity in the comb sample resembled that of typical soil samples. Cloning and expression in E. coli of six enzyme candidates identified in the libraries provided access to individual enzyme activities, which all proved to be coherent with the primary and secondary functional screens.

conclusionsThis study shows that the gut microbiome of P. militaris possesses the potential to degrade biomass components, such as arabinoxylans and arabinans. Moreover, the data presented suggests that prokaryotic microorganisms present in the comb could also play a part in the degradation of biomass within the termite mound, although further investigation will be needed to clarify the complex synergies that might exist between the different microbiomes that constitute the termitosphere of fungus-growing termites. This study exemplifies the power of functional metagenomics for the discovery of biomass-active enzymes and has provided a collection of potentially interesting biocatalysts for further study.

Identifiers

PMID23672637
PMCPMC3662619
OpenAlexW2098695754

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.