Evidence map›Paper›PMID 32694676›Full record

ArticleNature metabolism2019

Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel.

Roel P J Bevers, Maria Litovchenko, Adamandia Kapopoulou, Virginie S Braman, Matthew R Robinson, Johan Auwerx, Brian Hollis, Bart Deplancke

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

11 citing papers in PubMed, 22 citations in OpenAlex.

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  11. Frontiers in immunology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Roel P J Bevers *Laboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-2053-4873
Maria Litovchenko *Laboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Adamandia KapopoulouLaboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Virginie S BramanLaboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Matthew R RobinsonComplex Trait Genetics Group, Université de Lausanne, Lausanne, Switzerland.
Johan AuwerxLaboratory of Integrative Systems Physiology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-5065-5393
Brian HollisLaboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Bart DeplanckeLaboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. bart.deplancke@epfl.ch.ORCID http://orcid.org/0000-0001-9935-843X
SIB Swiss Institute of Bioinformatics · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nature and extent of mitochondrial DNA variation in a population and how it affects traits is poorly understood. Here we resequence the mitochondrial genomes of 169 Drosophila Genetic Reference Panel lines, identifying 231 variants that stratify along 12 mitochondrial haplotypes. We identify 1,845 cases of mitonuclear allelic imbalances, thus implying that mitochondrial haplotypes are reflected in the nuclear genome. However, no major fitness effects are associated with mitonuclear imbalance, suggesting that such imbalances reflect population structure at the mitochondrial level rather than genomic incompatibilities. Although mitochondrial haplotypes have no direct impact on mitochondrial respiration, some haplotypes are associated with stress- and metabolism-related phenotypes, including food intake in males. Finally, through reciprocal swapping of mitochondrial genomes, we demonstrate that a mitochondrial haplotype associated with high food intake can rescue a low food intake phenotype. Together, our findings provide new insight into population structure at the mitochondrial level and point to the importance of incorporating mitochondrial haplotypes in genotype-phenotype relationship studies.

Indexed as

Genome, MitochondrialPhenotypeAllelesAnimalsCell NucleusChromosome MappingDNA, MitochondrialDrosophilaEatingGenotypeHaplotypesHigh-Throughput Nucleotide SequencingMaleMetabolismMitochondriaOxygen ConsumptionDNA, Mitochondrial

Identifiers

PMID32694676
OpenAlexW2991933037

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.