Evidence map›Paper›PMID 30715293›Full record

ArticleGigaScience2019

Linking genetic, metabolic, and phenotypic diversity among Saccharomyces cerevisiae strains using multi-omics associations.

Kang Kang, Basti Bergdahl, Daniel Machado, Laura Dato, Ting-Li Han, Jun Li, Silas Villas-Boas, Markus J Herrgård, Jochen Förster, Gianni Panagiotou

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  3. Yeast adapts to diverse ecological niches driven by genomics and metabolic reprogramming.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Integrative Analysis of the Ethanol Tolerance ofInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Characterization of Cold-TolerantMicroorganisms · 2021
    Article
  19. Review
  20. 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

10 authors at 5 institutions in 5 countries.

Kang KangSystems Biology & Bioinformatics Group, School of Biological Sciences, The University of Hong Kong, Hong Kong S.A.R., China.
Basti BergdahlThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Daniel MachadoDepartment of Biological Engineering, School of Engineering, University of Minho, Braga, Portugal.
Laura DatoThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Ting-Li HanCentre for Microbial Innovation, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Jun LiSystems Biology & Bioinformatics Group, School of Biological Sciences, The University of Hong Kong, Hong Kong S.A.R., China.
Silas Villas-BoasCentre for Microbial Innovation, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Markus J HerrgårdThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Jochen FörsterThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Gianni PanagiotouSystems Biology & Bioinformatics Group, School of Biological Sciences, The University of Hong Kong, Hong Kong S.A.R., China.
Novo Nordisk Foundation · DKLeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEUniversity of Auckland · NZChinese University of Hong Kong · HKEuropean Molecular Biology Laboratory · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe selection of bioengineering platform strains and engineering strategies to improve the stress resistance of Saccharomyces cerevisiae remains a pressing need in bio-based chemical production. Thus, a systematic effort to exploit genotypic and phenotypic diversity to boost yeast's industrial value is still urgently needed.

resultsWe analyzed 5,400 growth curves obtained from 36 S. cerevisiae strains and comprehensively profiled their resistances against 13 industrially relevant stresses. We observed that bioethanol and brewing strains exhibit higher resistance against acidic conditions; however, plant isolates tend to have a wider range of resistance, which may be associated with their metabolome and fluxome signatures in the tricarboxylic acid cycle and fatty acid metabolism. By deep genomic sequencing, we found that industrial strains have more genomic duplications especially affecting transcription factors, showing that they result from disparate evolutionary paths in comparison with the environmental strains, which have more indels, gene deletions, and strain-specific genes. Genome-wide association studies coupled with protein-protein interaction networks uncovered novel genetic determinants of stress resistances.

conclusionsThese resistance-related engineering targets and strain rankings provide a valuable source for engineering significantly improved industrial platform strains.

Indexed as

Genome-Wide Association StudyGenomicsMetabolomicsPhenotypeAdaptation, BiologicalComputational BiologyGenetic VariationMetabolomePhylogenySaccharomyces cerevisiaeStress, Physiologicalgeno-to-phenotype associationmulti-omic studyplatform strainSaccharomyces cerevisiaestress resistance

Identifiers

PMID30715293
PMCPMC6446221
OpenAlexW2913272925

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.