Evidence map›Paper›PMID 42209485›Full record

ArticleNature communications2026

Population-scale chemical response revealed by a barcoded yeast collection.

Abhishek Dutta, Marion Garin, Victor Loegler, Gauthier Brach, Anne Friedrich, Mami Yoshimura, Hiroyuki Hirano, Hiroyuki Osada, Charles Boone, Yoko Yashiroda and 2 more

Abstract read
In one paragraph

Article in Nature communications, 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

12 authors.

Abhishek Dutta *Université de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.
Marion Garin *Université de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.
Victor LoeglerUniversité de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.
Gauthier BrachUniversité de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.ORCID http://orcid.org/0009-0004-7263-6013
Anne FriedrichUniversité de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.ORCID http://orcid.org/0000-0003-3558-9356
Mami YoshimuraMolecular Ligand Target Research Team, RIKEN Center for Sustainable Resource Science, Wako, Japan.
Hiroyuki HiranoMolecular Ligand Target Research Team, RIKEN Center for Sustainable Resource Science, Wako, Japan.ORCID http://orcid.org/0000-0002-0761-5548
Hiroyuki OsadaChemical Resource Development Research Unit, RIKEN Center for Sustainable Resource Science, Wako, Japan.ORCID http://orcid.org/0000-0002-3606-4925
Charles BooneMolecular Ligand Target Research Team, RIKEN Center for Sustainable Resource Science, Wako, Japan.ORCID http://orcid.org/0000-0002-3542-6760
Yoko YashirodaMolecular Ligand Target Research Team, RIKEN Center for Sustainable Resource Science, Wako, Japan.
Jing HouUniversité de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France.
Joseph SchachererUniversité de Strasbourg, CNRS, Inserm, IGBMC UMR 7104- UMR-S 1258, Illkirch, France. schacherer@unistra.fr.ORCID http://orcid.org/0000-0002-6606-6884

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) UniMiss
6 · The paper itself

Abstract

Natural genetic variation shapes how microbial populations adapt to environmental and chemical challenges, but scalable approaches to map genotype-phenotype relationships across diverse genetic backgrounds remain limited. Here, we developed a systematically barcoded collection of 520 Saccharomyces cerevisiae natural isolates that captures the ecological, geographical and genetic diversity of the species. Using pooled barcode sequencing, we profiled fitness responses to over 600 bioactive and natural compounds, revealing broader and more polarized bioactivity than the standard yeast gene-deletion collection. Fitness-based clustering defined six major compound groups with reproducible, population-structured sensitivity patterns. Genome-wide association analysis identified significant genetic variants across 106 compounds, linking natural polymorphisms to chemical responses and involving genes in genome maintenance, ribosome biogenesis, vesicular trafficking and stress tolerance. Together, our barcoded natural population provides a scalable framework for chemical-genetic screening, enabling systematic dissection of how genetic diversity shapes microbial fitness and adaptation.

Indexed as

DNA Barcoding, TaxonomicSaccharomyces cerevisiaeGenetic FitnessGenetic VariationGenome, FungalGenome-Wide Association Study

Identifiers

PMID42209485
PMCPMC13389157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.