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

Nat Metab

Laboratory of Systems Biology and Genetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Published: December 2019

AI Article Synopsis

  • The study focuses on mitochondrial DNA variation in Drosophila, revealing 231 variants across 12 haplotypes and highlighting the intertwined nature of mitochondrial and nuclear genomes with 1,845 instances of allelic imbalance.
  • There are no major fitness consequences from these mitonuclear imbalances, suggesting they reflect population structure rather than genomic issues.
  • Some mitochondrial haplotypes influence traits related to stress and metabolism, such as food intake in males, and experimental swaps show a high food intake haplotype can improve low intake phenotypes.

Article 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.

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Source
http://dx.doi.org/10.1038/s42255-019-0147-3DOI Listing

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