Evidence map›Paper›PMID 30691469›Full record

ArticleMicrobial cell factories2019

Carbon sources and XlnR-dependent transcriptional landscape of CAZymes in the industrial fungus Talaromyces versatilis: when exception seems to be the rule.

Agustina Llanos, Sébastien Déjean, Virginie Neugnot-Roux, Jean M François, Jean-Luc Parrou

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. The Transcription FactorFrontiers in microbiology · 2022
    Article
  9. Article
  10. The Secretomes ofJournal of fungi (Basel, Switzerland) · 2021
    Article
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

5 authors at 1 institution in 1 country.

Agustina LlanosLISBP, Université de Toulouse, INSA, INRA, CNRS, Toulouse, France.
Sébastien DéjeanInstitut de Mathématiques de Toulouse, UMR5219-Université de Toulouse; CNRS-UPS, 31062, Toulouse Cedex 9, France.
Virginie Neugnot-RouxAdisseo France S.A.S, 135 Avenue de Rangueil, 31077, Toulouse, France.
Jean M FrançoisLISBP, Université de Toulouse, INSA, INRA, CNRS, Toulouse, France.
Jean-Luc ParrouLISBP, Université de Toulouse, INSA, INRA, CNRS, Toulouse, France. parrou@insa-toulouse.fr.ORCID http://orcid.org/0000-0002-2014-1500
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on filamentous fungi emphasized the remarkable redundancy in genes encoding hydrolytic enzymes, the similarities but also the large differences in their expression, especially through the role of the XlnR/XYR1 transcriptional activator. The purpose of this study was to evaluate the specificities of the industrial fungus Talaromyces versatilis, getting clues into the role of XlnR and the importance of glucose repression at the transcriptional level, to provide further levers for cocktail production.

resultsBy studying a set of 62 redundant genes representative of several categories of enzymes, our results underlined the huge plasticity of transcriptional responses when changing nutritional status. As a general trend, the more heterogeneous the substrate, the more efficient to trigger activation. Genetic modifications of xlnR led to significant reorganisation of transcriptional patterns. Just a minimal set of genes actually fitted in a simplistic model of regulation by a transcriptional activator, and this under specific substrates. On the contrary, the diversity of xlnR

conclusionsThe diversity of transcriptional patterns appeared to be the rule, while common and stable behaviour, both within gene families and with fungal literature, the exception. The setup of a new biotechnological process to reach optimized, if not customized expression patterns of enzymes, hence appeared tricky just relying on published data that can lead, in the best scenario, to approximate trends. We instead encourage preliminary experimental assays, carried out in the context of interest to reassess gene responses, as a mandatory step before thinking in (genetic) strategies for the improvement of enzyme production in fungi.

Indexed as

Gene Expression Regulation, EnzymologicTranscription, GeneticBiomassCarbonFungal ProteinsGene Expression ProfilingGene Expression Regulation, FungalPolysaccharidesReal-Time Polymerase Chain ReactionTalaromycesTrans-ActivatorsTranscription FactorsCarbonFungal ProteinshemicellulosePolysaccharidesTrans-ActivatorsTranscription FactorsBiomass deconstructionCelluloseFilamentous fungiGlucose repressionGlycosyl hydrolasesHemicelluloseHigh-throughput qPCRSecretomeTranscription factorsXlnR/XYR1

Identifiers

PMID30691469
PMCPMC6348686
OpenAlexW2915529953

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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.