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

Teyssonnière, E. M., Trébulle, P., Muenzner, J., Loegler, V., Ludwig, D., Amari, F., et al. (2024). 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, 121(19): Article e2319211121. doi:10.1073/pnas.2319211121.

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 Creators:
Teyssonnière, Elie Marcel , Author
Trébulle, Pauline , Author
Muenzner, Julia, Author
Loegler, Victor , Author
Ludwig, Daniela, Author
Amari, Fatma , Author
Mülleder, Michael , Author
Friedrich, Anne, Author
Hou , Jing , Author
Ralser, Markus1, Author                 
Schacherer, Joseph , Author
Affiliations:
1Biochemistry and Systems Biology of Metabolism (Markus Ralser), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_3485956              

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Free keywords: gene regulation; genetic control; pQTL; quantitative proteomes; yeast
 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.

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Language(s): eng - English
 Dates: 2024-05-022024-05-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.2319211121
PMC: PMC11087752
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 121 (19) Sequence Number: Article e2319211121 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230