Evidence map›Paper›PMID 42860405›Full record

ArticleNature communications2026

Pervasive weak incompatibilities shape phenotypic variation and genome evolution in yeast hybrids.

Artemiza A Martínez, Gregory I Lang

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

2 authors.

Artemiza A MartínezDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA.ORCID http://orcid.org/0009-0002-9864-6151
Gregory I LangDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA. glang@lehigh.edu.ORCID http://orcid.org/0000-0002-7931-0428

Funding

Genetic interactions and the evolution of complex traits in yeastR35GM149540 · NIGMS · LEHIGH UNIVERSITY · PI Gregory I Lang · 2023 to 2026
$1.9M
NIGMS NIH HHS R35 GM149540U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM149540
6 · The paper itself

Abstract

Species barriers limit gene flow and maintain co-adapted genomes. Interspecific hybridization can break down species barriers, generating phenotypic variation and altering evolutionary potential. Although the phenotypic and genomic consequences of hybridization have been extensively studied in many systems, far less is known about the longer-term evolutionary dynamics of highly divergent, mosaic genomes and the extent to which genetic incompatibilities shape their adaptation. By suppressing anti-recombination genes in meiosis, we generate 20 haploid recombinant hybrids from a cross between Saccharomyces cerevisiae and Saccharomyces paradoxus. Across conditions, these hybrids are, on average, less fit than either parent and show broad phenotypic variation. Patterns of protein-complex inheritance reveal no evidence of strong pairwise lethality but support pervasive weak negative genetic interactions. Using laboratory evolution, we show that each recombinant genome follows a distinct adaptive trajectory, and that a small subset of hybrid protein complexes and loci show hybrid-specific mutational targeting. Species-of-origin alleles also bias evolutionary outcomes by reshaping selection on interacting genes. Together, these results indicate that strong pairwise incompatibilities are rare, while weak, background-dependent interactions are widespread and shape both phenotypic variation and genome evolution in hybrid genomes.

Indexed as

Evolution, MolecularGenome, FungalHybridization, GeneticSaccharomycesSaccharomyces cerevisiaeGenetic VariationHaploidyPhenotype

Identifiers

PMID42860405
PMCPMC13655127

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.