ArticleGenetics2017
The Genomic Architecture of Interactions Between Natural Genetic Polymorphisms and Environments in Yeast Growth.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Spontaneous mutation rate and spectrum are modulated by organismal fitness.Science advances · 2026Article
- Adaptive tracking with antagonistic pleiotropy results in seemingly neutral molecular evolution.Nature ecology & evolution · 2025Article
- The loci of environmental adaptation in a model eukaryote.Nature communications · 2024Article
- Patterns and evolutionary consequences of pleiotropy.Annual review of ecology, evolution, and systematics · 2023Article
- What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023Review
- Caution in testing phenotypic selection.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Different genetic basis for alcohol dehydrogenase activity and plasticity in a novel alcohol environment for Drosophila melanogaster.Heredity · 2020Article
- Antagonistic pleiotropy conceals molecular adaptations in changing environments.Nature ecology & evolution · 2020Article
- Patterns and Mechanisms of Diminishing Returns from Beneficial Mutations.Molecular biology and evolution · 2019Article
- Quantitative Trait Nucleotides Impacting the Technological Performances of IndustrialFrontiers in genetics · 2019Article
- Environment-dependent pleiotropic effects of mutations on the maximum growth rate r and carrying capacity K of population growth.PLoS biology · 2019Article
- Dissection of the molecular bases of genotype x environment interactions: a study of phenotypic plasticity of Saccharomyces cerevisiae in grape juices.BMC genomics · 2018Article
- Neutral Theory and Phenotypic Evolution.Molecular biology and evolution · 2018Article
- Multi-environment fitness landscapes of a tRNA gene.Nature ecology & evolution · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Gene-environment interaction (G×E) refers to the phenomenon that the same mutation has different phenotypic effects in different environments. Although quantitative trait loci (QTLs) exhibiting G×E have been reported, little is known about the general properties of G×E, and those of its underlying QTLs. Here, we use the genotypes of 1005 segregants from a cross between two Saccharomyces cerevisiae strains, and the growth rates of these segregants in 47 environments, to identify growth rate QTLs (gQTLs) in each environment, and QTLs that have different growth effects in each pair of environments (g×eQTLs) . The average number of g×eQTLs identified between two environments is 0.58 times the number of unique gQTLs identified in these environments, revealing a high abundance of G×E. Eighty-seven percent of g×eQTLs belong to gQTLs, supporting the practice of identifying g×eQTLs from gQTLs. Most g×eQTLs identified from gQTLs have concordant effects between environments, but, as the effect size of a mutation in one environment enlarges, the probability of antagonism in the other environment increases. Antagonistic g×eQTLs are enriched in dissimilar environments. Relative to gQTLs, g×eQTLs tend to occur at intronic and synonymous sites. The gene ontology (GO) distributions of gQTLs and g×eQTLs are significantly different, as are those of antagonistic and concordant g×eQTLs. Simulations based on the yeast data showed that ignoring G×E causes substantial missing heritability. Together, our findings reveal the genomic architecture of G×E in yeast growth, and demonstrate the importance of G×E in explaining phenotypic variation and missing heritability.
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Registered trials
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.