Evidence map›Paper›PMID 29946357›Full record

ArticleBiotechnology for biofuels2018

Defining functional diversity for lignocellulose degradation in a microbial community using multi-omics studies.

Anna M Alessi, Susannah M Bird, Nicola C Oates, Yi Li, Adam A Dowle, Etelvino H Novotny, Eduardo R deAzevedo, Joseph P Bennett, Igor Polikarpov, J Peter W Young and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Microbiology spectrum · 2024
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  11. A multi-omics approach to lignocellulolytic enzyme discovery reveals a new ligninase activity fromProceedings of the National Academy of Sciences of the United States of America · 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

12 authors at 3 institutions in 2 countries.

Anna M Alessi1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Susannah M Bird1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Nicola C Oates1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Yi Li1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Adam A Dowle2Department of Biology, Bioscience Technology Facility, University of York, York, YO10 5DD UK.
Etelvino H Novotny3Embrapa Solos, Rio de Janeiro, RJ Brazil.
Eduardo R deAzevedo4Grupo de Biotecnologia Molecular, Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP Brazil.
Joseph P Bennett1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Igor Polikarpov4Grupo de Biotecnologia Molecular, Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP Brazil.
J Peter W Young5Department of Biology, University of York, York, YO10 5DD UK.
Simon J McQueen-Mason1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.
Neil C Bruce1Department of Biology, Centre for Novel Agricultural Products, University of York, York, YO10 5DD UK.ORCID 0000-0003-0398-2997
University of York · GBUniversidade Federal de São Carlos · BRBrazilian Agricultural Research Corporation · BR

Funding

Biotechnology and Biological Sciences Research Council BB/I018492/1
6 · The paper itself

Abstract

backgroundLignocellulose is one of the most abundant forms of fixed carbon in the biosphere. Current industrial approaches to the degradation of lignocellulose employ enzyme mixtures, usually from a single fungal species, which are only effective in hydrolyzing polysaccharides following biomass pre-treatments. While the enzymatic mechanisms of lignocellulose degradation have been characterized in detail in individual microbial species, the microbial communities that efficiently breakdown plant materials in nature are species rich and secrete a myriad of enzymes to perform "community-level" metabolism of lignocellulose. Single-species approaches are, therefore, likely to miss important aspects of lignocellulose degradation that will be central to optimizing commercial processes.

resultsHere, we investigated the microbial degradation of wheat straw in liquid cultures that had been inoculated with wheat straw compost. Samples taken at selected time points were subjected to multi-omics analysis with the aim of identifying new microbial mechanisms for lignocellulose degradation that could be applied in industrial pre-treatment of feedstocks. Phylogenetic composition of the community, based on sequenced bacterial and eukaryotic ribosomal genes, showed a gradual decrease in complexity and diversity over time due to microbial enrichment. Taxonomic affiliation of bacterial species showed dominance of

conclusionsA combination of mass spectrometry-based proteomics coupled with metatranscriptomics has enabled the identification of a large number of lignocellulose degrading enzymes that can now be further explored for the development of improved enzyme cocktails for the treatment of plant-based feedstocks. In addition to the expected carbohydrate-active enzymes, our studies reveal a large number of unknown proteins, some of which may play a crucial role in community-based lignocellulose degradation.

Indexed as

CAZyLignocelluloseMetasecretome

Identifiers

PMID29946357
PMCPMC6004670
OpenAlexW2807934525

What OpenQuestion holds

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LicenceCC BY
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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.