ArticleMolecular systems biology2024
Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast.
Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 5 citations in OpenAlex.
- The genetics of the many forms of diversity.Genetics · 2026Article
- Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast.PLoS genetics · 2026Article
- Influence of Ploidy and Genetic Background on Stress Tolerance of Intraspecific Yeast Hybrids.Microbial biotechnology · 2026Article
- Dynamics of genome evolution in the era of pangenome analysis.Cell genomics · 2026Review
- Article
- Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast.Nature genetics · 2024Article
- Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Non-additive genetic components contribute significantly to population-wide gene expression variation.Cell genomics · 2024Article
- Species-wide survey of the expressivity and complexity spectrum of traits in yeast.PLoS genetics · 2024Article
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5 authors at 1 institution in 1 country.
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Abstract
Unraveling the genetic sources of gene expression variation is essential to better understand the origins of phenotypic diversity in natural populations. Genome-wide association studies identified thousands of variants involved in gene expression variation, however, variants detected only explain part of the heritability. In fact, variants such as low-frequency and structural variants (SVs) are poorly captured in association studies. To assess the impact of these variants on gene expression variation, we explored a half-diallel panel composed of 323 hybrids originated from pairwise crosses of 26 natural Saccharomyces cerevisiae isolates. Using short- and long-read sequencing strategies, we established an exhaustive catalog of single nucleotide polymorphisms (SNPs) and SVs for this panel. Combining this dataset with the transcriptomes of all hybrids, we comprehensively mapped SNPs and SVs associated with gene expression variation. While SVs impact gene expression variation, SNPs exhibit a higher effect size with an overrepresentation of low-frequency variants compared to common ones. These results reinforce the importance of dissecting the heritability of complex traits with a comprehensive catalog of genetic variants at the population level.
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