Evidence map›Paper›PMID 24655731›Full record

ArticleBiotechnology for biofuels2014

Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses.

Lilian Dos Santos Castro, Wellington Ramos Pedersoli, Amanda Cristina Campos Antoniêto, Andrei Stecca Steindorff, Rafael Silva-Rocha, Nilce M Martinez-Rossi, Antonio Rossi, Neil Andrew Brown, Gustavo H Goldman, Vitor M Faça and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 173 citations in OpenAlex.

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  19. Molecular Characterization of XyloglucanaseInternational journal of molecular sciences · 2021
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4 more citing papers are in PubMed but not listed here.

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 1 country.

Lilian Dos Santos Castro *Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Wellington Ramos Pedersoli *Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Amanda Cristina Campos AntoniêtoDepartment of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Andrei Stecca SteindorffDepartamento de Biologia Celular, Universidade de Brasília, Asa Norte, 70910-900 Brasília, DF, Brazil.
Rafael Silva-RochaDepartment of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Nilce M Martinez-RossiDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Antonio RossiDepartment of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Neil Andrew BrownFaculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, São Paulo, and Laboratório Nacional de Ciência e Tecnologia do Bioetanol, Campinas, Brazil.
Gustavo H GoldmanFaculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, São Paulo, and Laboratório Nacional de Ciência e Tecnologia do Bioetanol, Campinas, Brazil.
Vitor M FaçaDepartment of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Gabriela F PersinotiDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Roberto Nascimento SilvaDepartment of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, 14049-900 Ribeirão Preto, SP, Brazil.
Universidade de São Paulo · BRLaboratório Nacional de Ciência e Tecnologia do Bioetanol · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe filamentous fungus Trichoderma reesei is a major producer of lignocellulolytic enzymes utilized by bioethanol industries. However, to achieve low cost second generation bioethanol production on an industrial scale an efficient mix of hydrolytic enzymes is required for the deconstruction of plant biomass. In this study, we investigated the molecular basis for lignocellulose-degrading enzyme production T. reesei during growth in cellulose, sophorose, and glucose.

resultsWe examined and compared the transcriptome and differential secretome (2D-DIGE) of T. reesei grown in cellulose, sophorose, or glucose as the sole carbon sources. By applying a stringent cut-off threshold 2,060 genes were identified as being differentially expressed in at least one of the respective carbon source comparisons. Hierarchical clustering of the differentially expressed genes identified three possible regulons, representing 123 genes controlled by cellulose, 154 genes controlled by sophorose and 402 genes controlled by glucose. Gene regulatory network analyses of the 692 genes differentially expressed between cellulose and sophorose, identified only 75 and 107 genes as being specific to growth in sophorose and cellulose, respectively. 2D-DIGE analyses identified 30 proteins exclusive to sophorose and 37 exclusive to cellulose. A correlation of 70.17% was obtained between transcription and secreted protein profiles.

conclusionsOur data revealed new players in cellulose degradation such as accessory proteins with non-catalytic functions secreted in different carbon sources, transporters, transcription factors, and CAZymes, that specifically respond in response to either cellulose or sophorose.

Identifiers

PMID24655731
PMCPMC3998047
OpenAlexW2131959462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.