Condition-dependent fitness effects of large synthetic chromosome amplifications.

Yeast amplification aneuploidy fitness

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
09 Jun 2023
Historique:
pubmed: 19 6 2023
medline: 19 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

Whole-chromosome aneuploidy and large segmental amplifications can have devastating effects in multicellular organisms, from developmental disorders and miscarriage to cancer. Aneuploidy in single-celled organisms such as yeast also results in proliferative defects and reduced viability. Yet, paradoxically, CNVs are routinely observed in laboratory evolution experiments with microbes grown in stressful conditions. The defects associated with aneuploidy are often attributed to the imbalance of many differentially expressed genes on the affected chromosomes, with many genes each contributing incremental effects. An alternate hypothesis is that a small number of individual genes are large effect 'drivers' of these fitness changes when present in an altered copy number. To test these two views, we have employed a collection of strains bearing large chromosomal amplifications that we previously assayed in nutrient-limited chemostat competitions. In this study, we focus on conditions known to be poorly tolerated by aneuploid yeast-high temperature, treatment with the Hsp90 inhibitor radicicol, and growth in extended stationary phase. To identify potential genes with a large impact on fitness, we fit a piecewise constant model to fitness data across chromosome arms, filtering breakpoints in this model by magnitude to focus on regions with a large impact on fitness in each condition. While fitness generally decreased as the length of the amplification increased, we were able to identify 91 candidate regions that disproportionately impacted fitness when amplified. Consistent with our previous work with this strain collection, nearly all candidate regions were condition specific, with only five regions impacting fitness in multiple conditions.

Identifiants

pubmed: 37333112
doi: 10.1101/2023.06.08.544269
pmc: PMC10274924
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIGMS NIH HHS
ID : P41 GM103533
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM147040
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG000035
Pays : United States

Déclaration de conflit d'intérêts

Financial interests: The authors have no relevant financial or non-financial interests to disclose.

Auteurs

Abigail Keller (A)

Molecular Cellular Biology Program, University of Washington, Seattle, WA 98195, USA.
Genome Sciences Department, University of Washington, Seattle, WA 98195, USA.

Lucy L Gao (LL)

Statistics Department and Biostatistics Department, University of Washington, Seattle, WA 98195, USA.

Daniela Witten (D)

Statistics Department and Biostatistics Department, University of Washington, Seattle, WA 98195, USA.

Maitreya J Dunham (MJ)

Genome Sciences Department, University of Washington, Seattle, WA 98195, USA.

Classifications MeSH