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Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast

Élie Teyssonnière, Pauline Trébulle, Julia Muenzner, Victor Loegler, Daniela Ludwig, Fatma Amari, Michael Mülleder, Anne Friedrich, Jing Hou, Markus Ralser, Joseph Schacherer

2024Proceedings of the National Academy of Sciences33 citationsDOIOpen Access PDF

Abstract

Gene expression varies between individuals and corresponds to a key step linking genotypes to phenotypes. However, our knowledge regarding the species-wide genetic control of protein abundance, including its dependency on transcript levels, is very limited. Here, we have determined quantitative proteomes of a large population of 942 diverse natural Saccharomyces cerevisiae yeast isolates. We found that mRNA and protein abundances are weakly correlated at the population gene level. While the protein coexpression network recapitulates major biological functions, differential expression patterns reveal proteomic signatures related to specific populations. Comprehensive genetic association analyses highlight that genetic variants associated with variation in protein (pQTL) and transcript (eQTL) levels poorly overlap (3%). Our results demonstrate that transcriptome and proteome are governed by distinct genetic bases, likely explained by protein turnover. It also highlights the importance of integrating these different levels of gene expression to better understand the genotype–phenotype relationship.

Topics & Concepts

TranscriptomeBiologyProteomeGene expressionYeastGenetic variationVariation (astronomy)GeneticsGeneComputational biologyEvolutionary biologyPhysicsAstrophysicsFungal and yeast genetics researchBioinformatics and Genomic NetworksGenetic Mapping and Diversity in Plants and Animals