Evidence map›Paper›PMID 25633848›Full record

ArticleMicrobial cell factories2015

Saccharomyces cerevisiae transcriptional reprograming due to bacterial contamination during industrial scale bioethanol production.

Osmar V Carvalho-Netto, Marcelo F Carazzolle, Luciana S Mofatto, Paulo J P L Teixeira, Melline F Noronha, Luige A L Calderón, Piotr A Mieczkowski, Juan Lucas Argueso, Gonçalo A G Pereira

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Article
  3. Dynamics of contaminant microbes in bioethanol production from sugarcane.Journal of industrial microbiology & biotechnology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Characterization of microbial communities in ethanol biorefineries.Journal of industrial microbiology & biotechnology · 2020
    Article
  11. AIMS microbiology · 2020
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bioethanol strains of Saccharomyces cerevisiae characterised by microsatellite and stress resistance.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
    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

9 authors at 3 institutions in 2 countries.

Osmar V Carvalho-NettoDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. osmar@lge.ibi.unicamp.br.
Marcelo F CarazzolleDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. mcarazzo@lge.ibi.unicamp.br.
Luciana S MofattoDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. luciana.mofatto@gmail.com.
Paulo J P L TeixeiraDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. paulo@lge.ibi.unicamp.br.
Melline F NoronhaDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. melfontes@gmail.com.
Luige A L CalderónDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. luige_7@hotmail.com.
Piotr A MieczkowskiDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA. Piotr_Mieczkowski@med.unc.edu.
Juan Lucas ArguesoDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA. lucas.argueso@colostate.edu.
Gonçalo A G PereiraDepartamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil. goncalo@unicamp.br.
Universidade Estadual de Campinas (UNICAMP) · BRColorado State University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe bioethanol production system used in Brazil is based on the fermentation of sucrose from sugarcane feedstock by highly adapted strains of the yeast Saccharomyces cerevisiae. Bacterial contaminants present in the distillery environment often produce yeast-bacteria cellular co-aggregation particles that resemble yeast-yeast cell adhesion (flocculation). The formation of such particles is undesirable because it slows the fermentation kinetics and reduces the overall bioethanol yield.

resultsIn this study, we investigated the molecular physiology of one of the main S. cerevisiae strains used in Brazilian bioethanol production, PE-2, under two contrasting conditions: typical fermentation, when most yeast cells are in suspension, and co-aggregated fermentation. The transcriptional profile of PE-2 was assessed by RNA-seq during industrial scale fed-batch fermentation. Comparative analysis between the two conditions revealed transcriptional profiles that were differentiated primarily by a deep gene repression in the co-aggregated samples. The data also indicated that Lactobacillus fermentum was likely the main bacterial species responsible for cellular co-aggregation and for the high levels of organic acids detected in the samples.

conclusionsHere, we report the high-resolution gene expression profiling of strain PE-2 during industrial-scale fermentations and the transcriptional reprograming observed under co-aggregation conditions. This dataset constitutes an important resource that can provide support for further development of this key yeast biocatalyst.

Indexed as

Gene Expression ProfilingBacteriaBiomassBrazilEthanolFermentationFlocculationGene OntologyGenotypeIndustrial MicrobiologyKineticsMicrobial InteractionsMutationReverse Transcriptase Polymerase Chain ReactionSaccharomyces cerevisiaeSaccharumEthanol

Identifiers

PMID25633848
PMCPMC4318157
OpenAlexW2147554561

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.