Evidence map›Paper›PMID 42593076›Full record

ArticleJournal of industrial microbiology & biotechnology2026

Dynamics of contaminant microbes in bioethanol production from sugarcane.

Ana Laura R Romano, Natalia Coutouné, Artur Rego-Costa, Michael M Desai, Marcelo F Carazzolle, Andreas K Gombert

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ana Laura R RomanoSchool of Food Engineering, University of Campinas, Campinas, Brazil.ORCID 0000-0001-8729-5275
Natalia CoutounéSchool of Food Engineering, University of Campinas, Campinas, Brazil.ORCID 0000-0001-8174-5466
Artur Rego-CostaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Marcelo F CarazzolleLaboratory of Genomics and BioEnergy, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, Brazil.
Andreas K GombertSchool of Food Engineering, University of Campinas, Campinas, Brazil.ORCID 0000-0001-9557-3773

Funding

CNPq 130582/2021-2CNPq 306190/2022-2FAPESP 2018/04962-5
6 · The paper itself

Abstract

The dynamics and impact of microbial contaminants in industrial sugarcane bioethanol production in Brazil were investigated through a 2-year metagenomic study across two biorefineries. Shotgun metagenomic sequencing revealed that temporal shifts in the contaminant microbiome dynamics within production seasons were more pronounced than inter-annual or inter-mill variations. While Saccharomyces spp. dominated, bacterial communities, primarily within the Firmicutes phylum and dominated by the genera Lactobacillus, Limosilactobacillus, and Bacillus, exhibited dynamic changes. Correlation analyses with industrial process parameters revealed a complex interplay: lower Lactobacillus levels in one mill were associated with increased ethanol yield, whereas higher levels in another mill correlated with reduced yeast viability and increased flocculation. The presence of Limosilactobacillus was linked to decreased yeast viability, whereas Bacillus showed potential for inhibiting both Lactobacillus and Limosilactobacillus. These findings highlight the nuanced and species-specific impacts of bacterial contaminants on bioethanol production, underscoring the need for strain-level functional studies and targeted interventions to optimize fermentation efficiency and stability in industrial settings. One-Sentence Summary The dynamics of contaminant bacterial populations during fuel ethanol production from sugarcane was unrevealed in two biorefineries and in two consecutive production years using shotgun metagenomics.

Indexed as

BacteriaBiofuelsEthanolSaccharumBrazilFermentationIndustrial MicrobiologyMetagenomicsMicrobiotaBiofuelsEthanolbacterial contaminantsbioethanol productionfermentation microbiomeindustrial alcoholic fermentationsugarcane biorefinery

Identifiers

PMID42593076
PMCPMC13615390

What OpenQuestion holds

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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.