Evidence map›Paper›PMID 39989051›Full record

ArticleGenetics2025

Epistasis and cryptic QTL identified using modified bulk segregant analysis of copper resistance in budding yeast.

Cassandra Buzby, Yevgeniy Plavskin, Federica M O Sartori, Qiange Tong, Janessa K Vail, Mark L Siegal

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Article in Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cassandra BuzbyDepartment of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0003-2866-9526
Yevgeniy PlavskinDepartment of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0002-6911-3009
Federica M O SartoriDepartment of Biology, New York University, New York, NY 10003, USA.
Qiange TongDepartment of Biology, New York University, New York, NY 10003, USA.
Janessa K VailDepartment of Biology, New York University, New York, NY 10003, USA.
Mark L SiegalDepartment of Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-6930-2988

Funding

The Quantitative Biological Systems Training (QBIST) ProgramT32GM132037 · NIGMS · NEW YORK UNIVERSITY · PI David Gresham, Christine Vogel · 2019 to 2026
$2.3M
Genetic and Nongenetic Variation in Complex TraitsR35GM148344 · NIGMS · NEW YORK UNIVERSITY · PI Mark L Siegal · 2023 to 2026
$1.7M
NIGMS NIH HHS R35 GM148344NIGMS NIH HHS T32 GM132037NIH HHS R35GM148344NYU Biology Summer Undergraduate Research ProgramNYU Graduate School of Arts and Science Dean's Dissertation Fellowship
6 · The paper itself

Abstract

The contributions of genetic interactions to natural trait variation are challenging to estimate experimentally, as current approaches for detecting epistasis are often underpowered. Powerful mapping approaches such as bulk segregant analysis (BSA), wherein individuals with extreme phenotypes are pooled for genotyping, obscure epistasis by averaging over genotype combinations. To accurately characterize and quantify epistasis underlying natural trait variation, we have engineered strains of the budding yeast Saccharomyces cerevisiae to enable crosses where one parent's chromosome is fixed while the rest of the chromosomes segregate. These crosses allow us to use BSA to identify quantitative trait loci (QTL) whose effects depend on alleles on the fixed parental chromosome, indicating a genetic interaction with that chromosome. Our method, which we term epic-QTL (for epistatic-with-chromosome QTL) analysis, can thus identify interaction loci with high statistical power. Here, we perform epic-QTL analysis of copper resistance with chromosome I or VIII fixed in a cross between divergent naturally derived strains. We find 7 loci that interact significantly with chromosome VIII and none that interact with chromosome I, the smallest of the 16 budding yeast chromosomes. Each of the 7 interactions alters the magnitude, rather than the direction, of an additive QTL effect. We also show that fixation of one source of variation-in this case, chromosome VIII, which contains the large-effect QTL mapping to CUP1-increases power to detect the contributions of other loci to trait differences.

Indexed as

CopperDrug Resistance, FungalEpistasis, GeneticQuantitative Trait LociSaccharomyces cerevisiaeChromosome MappingChromosomes, FungalPhenotypeCoppercopper sulfateepistasisquantitative trait lociresistanceSaccharomyces cerevisiaeyeast genetics

Identifiers

PMID39989051
PMCPMC12005261

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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.