Evidence map›Paper›PMID 36989278›Full record

ArticlePLoS genetics2023

Mapping mitonuclear epistasis using a novel recombinant yeast population.

Tuc H M Nguyen, Austen Tinz-Burdick, Meghan Lenhardt, Margaret Geertz, Franchesca Ramirez, Mark Schwartz, Michael Toledano, Brooke Bonney, Benjamin Gaebler, Weiwei Liu and 4 more

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  8. Mitochondrial Genome Diversity across the Subphylum Saccharomycotina.bioRxiv : the preprint server for biology · 2023
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Tuc H M NguyenDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.ORCID 0000-0001-9223-3749
Austen Tinz-BurdickDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Meghan LenhardtDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Margaret GeertzDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Franchesca RamirezDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Mark SchwartzDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Michael ToledanoDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Brooke BonneyDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Benjamin GaeblerDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Weiwei LiuDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
John F WoltersDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Kenneth ChiuDepartment of Computer Sciences, Binghamton University, Binghamton, New York, United States of America.
Anthony C FiumeraDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.
Heather L FiumeraDepartment of Biological Sciences, Binghamton University, Binghamton, New York, United States of America.ORCID 0000-0001-9068-5979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variation in mitochondrial and nuclear genomes can perturb mitonuclear interactions and lead to phenotypic differences between individuals and populations. Despite their importance to most complex traits, it has been difficult to identify the interacting mitonuclear loci. Here, we present a novel advanced intercrossed population of Saccharomyces cerevisiae yeasts, called the Mitonuclear Recombinant Collection (MNRC), designed explicitly for detecting mitonuclear loci contributing to complex traits. For validation, we focused on mapping genes that contribute to the spontaneous loss of mitochondrial DNA (mtDNA) that leads to the petite phenotype in yeast. We found that rates of petite formation in natural populations are variable and influenced by genetic variation in nuclear DNA, mtDNA and mitonuclear interactions. We mapped nuclear and mitonuclear alleles contributing to mtDNA stability using the MNRC by integrating a term for mitonuclear epistasis into a genome-wide association model. We found that the associated mitonuclear loci play roles in mitotic growth most likely responding to retrograde signals from mitochondria, while the associated nuclear loci with main effects are involved in genome replication. We observed a positive correlation between growth rates and petite frequencies, suggesting a fitness tradeoff between mitotic growth and mtDNA stability. We also found that mtDNA stability was correlated with a mobile mitochondrial GC-cluster that is present in certain populations of yeast and that selection for nuclear alleles that stabilize mtDNA may be rapidly occurring. The MNRC provides a powerful tool for identifying mitonuclear interacting loci that will help us to better understand genotype-phenotype relationships and coevolutionary trajectories.

Indexed as

Epistasis, GeneticSaccharomyces cerevisiaeDNA, MitochondrialGenome-Wide Association StudyMitochondriaDNA, Mitochondrial

Identifiers

PMID36989278
PMCPMC10085025

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Registered trials

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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.