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research article

Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel

Bevers, Roel P. J.  
•
Litovchenko, Maria  
•
Kapopoulou, Adamandia  
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December 1, 2019
Nature Metabolism

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.

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Type
research article
DOI
10.1038/s42255-019-0147-3
Web of Science ID

WOS:000503371200009

Author(s)
Bevers, Roel P. J.  
Litovchenko, Maria  
Kapopoulou, Adamandia  
Braman, Virginie S.  
Robinson, Matthew R.
Auwerx, Johan  
Hollis, Brian  
Deplancke, Bart  
Date Issued

2019-12-01

Published in
Nature Metabolism
Volume

1

Issue

12

Start page

1226

End page

1242

Subjects

Endocrinology & Metabolism

•

genome-wide association

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oxidative stress

•

melanogaster

•

mtdna

•

selection

•

polymorphism

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epistasis

•

genotype

•

program

•

flies

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPDEPLA  
LISP  
Available on Infoscience
January 2, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164296
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