Evidence map›Paper›PMID 33686084›Full record

ArticleNature communications2021

Complex yeast-bacteria interactions affect the yield of industrial ethanol fermentation.

Felipe Senne de Oliveira Lino, Djordje Bajic, Jean Celestin Charles Vila, Alvaro Sánchez, Morten Otto Alexander Sommer

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review
  4. Review
  5. Dynamics of contaminant microbes in bioethanol production from sugarcane.Journal of industrial microbiology & biotechnology · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Proposal ofInternational journal of systematic and evolutionary microbiology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Engineered microbial consortia for next-generation feedstocks.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Article
  16. Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Global epistasis on fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
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.

Felipe Senne de Oliveira LinoThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0001-5645-9142
Djordje BajicDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-6716-7898
Jean Celestin Charles VilaDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-0499-0200
Alvaro SánchezDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2292-5608
Morten Otto Alexander SommerThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark. msom@bio.dtu.dk.ORCID http://orcid.org/0000-0003-4005-5674

Funding

Predicting the assembly and function of microbial consortia: a systems biology approachR35GM133467 · NIGMS · YALE UNIVERSITY · PI SANCHEZ DE ANDRES, ALVARO · 2019 to 2021
$1.3M
NIGMS NIH HHS R35 GM133467
6 · The paper itself

Abstract

Sugarcane ethanol fermentation represents a simple microbial community dominated by S. cerevisiae and co-occurring bacteria with a clearly defined functionality. In this study, we dissect the microbial interactions in sugarcane ethanol fermentation by combinatorically reconstituting every possible combination of species, comprising approximately 80% of the biodiversity in terms of relative abundance. Functional landscape analysis shows that higher-order interactions counterbalance the negative effect of pairwise interactions on ethanol yield. In addition, we find that Lactobacillus amylovorus improves the yeast growth rate and ethanol yield by cross-feeding acetaldehyde, as shown by flux balance analysis and laboratory experiments. Our results suggest that Lactobacillus amylovorus could be considered a beneficial bacterium with the potential to improve sugarcane ethanol fermentation yields by almost 3%. These data highlight the biotechnological importance of comprehensively studying microbial communities and could be extended to other microbial systems with relevance to human health and the environment.

Indexed as

Bacterial Physiological PhenomenaFermentationAcetaldehydeBacteriaBiodiversityEthanolIndustrial MicrobiologyLactobacillusMicrobial InteractionsMicrobiotaMolassesSaccharomyces cerevisiaeSaccharumAcetaldehydeEthanol

Identifiers

PMID33686084
PMCPMC7940389

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.