Evidence map›Paper›PMID 38971805›Full record

ArticleNature communications2024

The loci of environmental adaptation in a model eukaryote.

Piaopiao Chen, Jianzhi Zhang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Comparative adaptability of 307Frontiers in microbiology · 2025
    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

2 authors.

Piaopiao ChenDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, 48109, USA.ORCID 0000-0003-4659-816X
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, 48109, USA. jianzhi@umich.edu.ORCID 0000-0001-6141-1290

Funding

Genomic and Systemic Approaches to Evolutionary MechanismsR35GM139484 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JIANZHI ZHANG · 2021 to 2026
$3.2M
High-Performance Computing Cluster for Biomedical ResearchS10OD026825 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2020 to 2020
$600k
NIGMS NIH HHS R35 GM139484NIH HHS S10 OD026825U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM139484
6 · The paper itself

Abstract

While the underlying genetic changes have been uncovered in some cases of adaptive evolution, the lack of a systematic study prevents a general understanding of the genomic basis of adaptation. For example, it is unclear whether protein-coding or noncoding mutations are more important to adaptive evolution and whether adaptations to different environments are brought by genetic changes distributed in diverse genes and biological processes or concentrated in a core set. We here perform laboratory evolution of 3360 Saccharomyces cerevisiae populations in 252 environments of varying levels of stress. We find the yeast adaptations to be primarily fueled by large-effect coding mutations overrepresented in a relatively small gene set, despite prevalent antagonistic pleiotropy across environments. Populations generally adapt faster in more stressful environments, partly because of greater benefits of the same mutations in more stressful environments. These and other findings from this model eukaryote help unravel the genomic principles of environmental adaptation.

Indexed as

Adaptation, PhysiologicalMutationSaccharomyces cerevisiaeEnvironmentEvolution, MolecularGenetic LociGenetic PleiotropyGenome, FungalSaccharomyces cerevisiae ProteinsStress, PhysiologicalSaccharomyces cerevisiae Proteins

Identifiers

PMID38971805
PMCPMC11227561

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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.