Evidence map›Paper›PMID 30311091›Full record

ArticleAMB Express2018

Transcriptional profile of a bioethanol production contaminant Candida tropicalis.

Natália Manuela Strohmayer Lourencetti, Ivan Rodrigo Wolf, Maria Priscila Franco Lacerda, Guilherme Targino Valente, Cleslei Fernando Zanelli, Mariana Marchi Santoni, Maria José Soares Mendes-Giannini, Francisco Javier Enguita, Ana Marisa Fusco-Almeida

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Natália Manuela Strohmayer LourencettiSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil.
Ivan Rodrigo WolfSchool of Agromonic Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Maria Priscila Franco LacerdaSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil.
Guilherme Targino ValenteSchool of Agromonic Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Cleslei Fernando ZanelliSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil.
Mariana Marchi SantoniSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil.
Maria José Soares Mendes-GianniniSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil.
Francisco Javier EnguitaSchool of Medicine Science, Lisbon University, Lisbon, Portugal.
Ana Marisa Fusco-AlmeidaSão Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, São Paulo, Brazil. ana.marisa@uol.com.br.
Universidade Estadual Paulista (Unesp) · BRUniversity of Lisbon · PT

Funding

CNPq Conselho Nacional de Desenvolvimento Cientifico e Tecnologico 870026/2002-0
6 · The paper itself

Abstract

The fermentation process is widely used in the industry for bioethanol production. Even though it is widely used, microbial contamination is unpredictable and difficult to control. The problem of reduced productivity is directly linked to competition for nutrients during contamination. Yeasts representing the Candida species are frequently isolated contaminants. Elucidating the behavior of a contaminant during the fermentation cycle is essential for combatting the contamination. Consequently, the aim of the current study was to better understand the functional and transcriptional behavior of a contaminating yeast Candida tropicalis. We used a global RNA sequencing approach (RNA-seq/MiSeq) to analyze gene expression. Genes with significantly repressed or induced expression, and related to the fermentations process, such as sugar transport, pyruvate decarboxylase, amino acid metabolism, membrane, tolerance to high concentrations of ethanol and temperatures, nutrient suppression), and transcription-linked processes, were identified. The expression pattern suggested that the functional and transcriptional behavior of the contaminating yeast during fermentation for bioethanol production is similar to that of the standard yeast Saccharomyces cerevisiae. In addition, the analysis confirmed that C. tropicalis is an important contaminant of the alcoholic fermentation process, generating bioethanol and viability through its tolerance to all the adversities of a fermentation process essential for the production of bioethanol. According on the gene expression profile, many of these mechanisms are similar to those of S. cerevisiae strains currently used for bioethanol production. These mechanisms can inform studies on antimicrobials, to combat yeast contamination during industrial bioethanol production.

Indexed as

Alcoholic fermentationBioethanolCandida tropicalisContaminantRNA-seq

Identifiers

PMID30311091
PMCPMC6182018
OpenAlexW2897162780

What OpenQuestion holds

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LicenceCC BY
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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.