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. 2018 Feb 28;208(4):1535–1552. doi: 10.1534/genetics.118.300818

Mito-Nuclear Interactions Affecting Lifespan and Neurodegeneration in a Drosophila Model of Leigh Syndrome

Carin A Loewen 1, Barry Ganetzky 1,1
PMCID: PMC5887147  PMID: 29496745

Mitochondrial function requires coordinated activities of interacting proteins encoded in both the nuclear and mitochondrial genomes. Nuclear mutations cause human mitochondrial disorders that commonly exhibit unexplained clinical variability (e.g. age of onset and severity)...

Keywords: Mitochondrial disease, Leigh syndrome, mito-nuclear interaction, neurodegeneration, Drosophila

Abstract

Proper mitochondrial activity depends upon proteins encoded by genes in the nuclear and mitochondrial genomes that must interact functionally and physically in a precisely coordinated manner. Consequently, mito-nuclear allelic interactions are thought to be of crucial importance on an evolutionary scale, as well as for manifestation of essential biological phenotypes, including those directly relevant to human disease. Nonetheless, detailed molecular understanding of mito-nuclear interactions is still lacking, and definitive examples of such interactions in vivo are sparse. Here we describe the characterization of a mutation in Drosophila ND23, a nuclear gene encoding a highly conserved subunit of mitochondrial complex 1. This characterization led to the discovery of a mito-nuclear interaction that affects the ND23 mutant phenotype. ND23 mutants exhibit reduced lifespan, neurodegeneration, abnormal mitochondrial morphology, and decreased ATP levels. These phenotypes are similar to those observed in patients with Leigh syndrome, which is caused by mutations in a number of nuclear genes that encode mitochondrial proteins, including the human ortholog of ND23. A key feature of Leigh syndrome, and other mitochondrial disorders, is unexpected and unexplained phenotypic variability. We discovered that the phenotypic severity of ND23 mutations varies depending on the maternally inherited mitochondrial background. Sequence analysis of the relevant mitochondrial genomes identified several variants that are likely candidates for the phenotypic interaction with mutant ND23, including a variant affecting a mitochondrially encoded component of complex I. Thus, our work provides an in vivo demonstration of the phenotypic importance of mito-nuclear interactions in the context of mitochondrial disease.


HEALTHY neurons can remain viable and functional over the entire lifetime of an organism. Because neurons are nondividing cells, their ability to maintain structural and functional integrity over extended periods of time must depend on a variety of cellular and molecular mechanisms that enable them to withstand and repair damage from an array of environmental and biological insults. We still lack a full understanding of these neuroprotective mechanisms despite their fundamental biological and medical importance. To address this problem, we have performed minimally biased, forward genetic screens to identify genes whose normal function is required to maintain neuronal integrity as a function of age; loss-of-function mutations in these “neurodegeneration suppressor” genes result in age-dependent neurodegeneration. We previously found that our collection of mutants, originally identified on the basis of temperature-sensitive paralysis or other locomotor defects, is enriched for those exhibiting age-dependent neurodegeneration (Palladino et al. 2002). These mutants have revealed important neuroprotective roles for a variety of cellular processes, including metabolism, innate immunity, and vesicular trafficking (Palladino et al. 2003; Gnerer et al. 2006; Miller et al. 2012; Cao et al. 2013; Babcock et al. 2015). Here, we analyze another mutant from this collection that exhibits shortened lifespan, mitochondrial abnormalities, and age-dependent neurodegeneration. We identify the causal mutation in the ND23 gene, which encodes the Drosophila ortholog of human NDUFS8, a core subunit of mitochondrial complex 1.

Complex 1 is one of five enzymatic complexes in the mitochondrial inner membrane that carry out oxidative phosphorylation (Bridges et al. 2011). Complexes 1–4 compose the electron transport chain, which uses energy derived from oxidative reactions to pump protons across the inner membrane, thereby establishing a proton gradient. Complex 5 uses this gradient to drive ATP synthesis. Oxidative reactions carried out by complex 1 result in electron transfer from NADH to ubiquinone via a series of iron-sulfur (Fe-S) clusters. Complex 1 is the largest enzyme in mitochondrial oxidative phosphorylation, containing ∼45 subunits; however, it requires only 14 evolutionarily conserved “core” subunits to perform its enzymatic reactions (Efremov et al. 2010). Seven of these core subunits are encoded by mitochondrial DNA (mtDNA), whereas nuclear DNA (nDNA) encode the other seven. ND23 is a nuclear gene that encodes one of the Fe-S core subunits of complex 1.

Mitochondrial diseases are the most frequently inherited metabolic disorder in humans (Smeitink et al. 2001), with an estimated incidence of at least 1 in 5000 births (Wallace and Chalkia 2013). A frequent cause of mitochondrial disease is complex I deficiency (Smeitink et al. 2001), which is the most common childhood-onset mitochondrial disorder (Fassone and Rahman 2012). Loss-of-function mutations in several different mitochondrial proteins, including NDUFS8, cause Leigh syndrome, which usually becomes apparent in the first years of life. Leigh syndrome is characterized by early, progressive neurodegeneration, intellectual and motor difficulties, and abnormal energy metabolism (Lake et al. 2016). However, as is true for many other inherited mitochondrial diseases (Lightowlers et al. 2015), Leigh syndrome is characterized by marked variation in phenotypic severity and age at onset, even when two individuals carry identical disease-causing mutations (Budde et al. 2003; Marina et al. 2013). Patients often die in the first years of life, primarily from respiratory failure; however, a number of associated medical issues complicate morbidity and mortality. Currently, treatment for Leigh syndrome is limited to palliative care.

The basis of the clinical heterogeneity of inherited mitochondrial disorders remains challenging (Lightowlers et al. 2015). Genetic heterogeneity and mitochondrial heteroplasmy are clearly involved (Wallace and Chalkia 2013). It has also been suggested that genetic background, including mtDNA polymorphisms, can modify disease susceptibility and severity (Wallace et al. 1999; Wallace and Chalkia 2013). Although most naturally occurring, mtDNA polymorphisms are relatively neutral, it has been proposed that certain mtDNA polymorphisms can interact epistatically with a nuclear mutation to enhance a disease phenotype (Wallace et al. 1999; Wolff et al. 2014). Although this notion is supported by epidemiological studies correlating human mitochondrial haplotype (Hofmann et al. 1997; Hudson et al. 2007; Strauss et al. 2013) or nuclear mutation (Guan et al. 2006; Jiang et al. 2016) with clinical expression of mitochondrial disorders, as well as analysis of transmitochondrial cytoplasmic hybrids (Potluri et al. 2009; Wilkins et al. 2014), direct in vivo evidence for this association is rare. Work in Drosophila, however, has provided important support for this hypothesis. In Drosophila, the mitochondrial disease-like phenotype caused by a mutation in technical knockout (a nuclear gene encoding a mito-ribosomal protein) can be suppressed by a cytoplasmic factor that increases mtDNA copy number (Chen et al. 2012). Although this factor appears to be mitochondrial in nature, mtDNA changes that were present in all suppressor strains and absent from all nonsuppressor strains (or vice versa) could not be identified. Further, direct evidence exists for a mito-nuclear incompatibility that affects Drosophila development and fitness. The incompatibility was identified to be between a nuclear-encoded transfer RNA (tRNA) synthetase and the mitochondrially encoded cognate tRNA (Meiklejohn et al. 2013). However, the incompatibility occurred by mating two different Drosophila species. Thus, the relevance of within species incompatibility was not directly addressed in these studies. However, recent data suggest that an incompatibility between the two homologous human proteins may affect the phenotypic expression of Leber’s hereditary optic neuropathy, the most common mitochondrial disorder (Jiang et al. 2016). Finally, ATP61, a mutation in an mtDNA-encoded gene, was shown to enhance the mutant phenotype of sesB1, a mutation in a nDNA-encoded gene. However, the ATP61 mutation alone results in significant defects (Celotto et al. 2006). Thus, even in Drosophila, direct in vivo evidence of a nonpathological mitochondrial background modifying mitochondrial disease manifestation within a species remains elusive.

In the course of characterizing our ND23 mutant, we discovered that the shortened lifespan and neurodegeneration phenotypes were enhanced by a maternally inherited factor consistent with a mtDNA variant. Sequence analysis of the mitochondrial genome identified several mutations that are likely candidates for the interaction with ND23. In the absence of the ND23 mutation, the mitochondrial variants exhibit no overt effect on lifespan or neuronal viability. Thus, the enhanced mutant phenotype appears to depend on a mito-nuclear genetic interaction that modifies the phenotypic manifestation of a nuclear mutation that affects complex I.

These studies provide a new model of Leigh syndrome in Drosophila. They also establish a powerful in vivo experimental system to further understand how nuclear and mitochondrial genotypes can interact to affect organismal phenotypes, as well as how these interactions can impact the pathophysiology of mitochondrial, and perhaps other disorders that are also characterized by variability in disease progression and severity.

Materials and Methods

Drosophila genetics

Fly crosses and stocks were maintained on cornmeal-molasses medium. To eliminate the possibility that Wolbachia infection was the maternally inherited factor we discovered in these experiments that modifies ND23 mutant phenotypes, we tested flies cured of Wolbachia by growing them for two generations at 25° on medium containing 30 mg/ml tetracycline (Dobson et al. 2002). For aging studies, flies were maintained at 25° until adults were 0–2 days post eclosion. Adults were then transferred to 29° for further aging. Canton-S was used as the wild-type control. The ND2360114 line was generated by EMS mutagenesis in our previous screens for temperature-sensitive paralytic mutants. ND23G14097 deficiency stocks for mapping (including Df(3R)Exel8162), C155-Gal4, Tubulin-Gal4, and Ddc-Gal4, UAS-MitoGFP were obtained from the Bloomington Drosophila Stock Center. Repo-Gal4 (second chromosome insert) was a gift from Brad Jones, University of Mississippi. UAS-ND23WT was generated as described below.

DNA cloning

To generate UAS-ND23WT flies, mRNA was isolated from Canton-S flies using TRIzol RT (Molecular Research Center, Cincinnati, OH) according to the manufacturer instructions. Complementary DNA (cDNA) was synthesized from the isolated RNA using iScript cDNA Synthesis Kit (Bio-Rad, Hercules, CA). The following primers were used to amplify ND23 from the cDNA: ND23-F: ATGTCGCTAACTATGCGAAT, ND23-R: TAACGATAGAGATGGTCGG. The PCR product was subcloned into pCR8/GW/TOPO with the pCR8/GW/TOPO TA Cloning Kit (Invitrogen, Carlsbad, CA) and then cloned into a pUASt germ line transformation vector (pTW, provided by T. Murphy, Carnegie Institute, Troy, MI; https://emb.carnegiescience.edu/drosophila-gateway-vector-collection) with LR Clonase II Enzyme Mix (Invitrogen). DNA sequences were confirmed using standard Sanger sequencing protocols, followed by germ line transformation into w1118 flies using typical techniques for random genome integration.

Lifespan analysis

Adult flies were raised at 25° and collected 0–2 days post eclosion under CO2. Males and females were separated, and aged at 29° at a density of 10–20 flies per vial. Flies were transferred to fresh vials every 2 days, and the number of dead flies in each vial recorded. The total number of flies used to determine lifespan for various genotypes ranged from 80 to 169 over 5–11 independent trials. Exact numbers for each experiment are reported in the figures or figure legends. OASIS2 (Han et al. 2016) was used to compute mean lifespans and perform log-rank tests for statistical comparisons.

Western blot

Three male flies (3–4 days old) were frozen at −80° until they were homogenized in 45 µl of 2× SDS sample buffer (1.52 g Tris base, 20 ml glycerol, 2.0 g SDS, 2.0 ml 2-mercaptoethanol, 1 mg bromophenol blue, H20 to 100 ml, pH 6.8). The homogenized sample was boiled for 5 min and then spun at 14,000 rpm for 10 min. A total of 15 µl of the supernatant was loaded per well in a Bolt 4–12% Bis-Tris Plus Gel (Invitrogen). Western blots were probed with a mouse, anti-actin antibody (MAB1501; Millipore Sigma) at 1:10,000 and a mouse anti-NDUFS8 antibody (A-6, sc-515527, Lot # B1717; Santa Cruz Biotechnology). Primary antibodies were diluted in blocking buffer [1:1 Odyssey Blocking Buffer (PBS) (LI-COR):PBS-Tween20–0.2%]. The secondary antibody was IRDye 800 donkey anti-mouse (LI-COR) at 1:5000 and diluted in blocking buffer plus 0.1% SDS. Blots were imaged on an Odyssey Imaging System, and bands were quantified using Image Studio version 3.1 software. For quantification, bands from two gels were averaged.

Histology

Fly heads were severed and placed in fresh Carnoy’s fixative (ethanol/chloroform/glacial acetic acid at the ratio 6:3:1) for 24–48 hr at 4°. Heads were then washed and placed in 70% ethanol and processed into paraffin using standard histological procedures. Embedded heads were sectioned at 5 μm and stained with hematoxylin and eosin (H&E). Images were taken under a Nikon light microscope (Nikon, Tokyo, Japan), equipped with a QImaging camera (QImaging company). Images were generated using QImaging software and processed with Photoshop.

Neurodegeneration index

Neurodegeneration is indicated by the appearance of vacuolar lesions in the brain neuropil. To determine the neurodegeneration index for a brain, well-oriented 5 μm sections spanning the entire brain (∼25 sections in total) were considered. Five levels of neurodegeneration (0, 1, 2, 3, and 4) were defined (Supplemental Material, Figure S1): 0 = no vacuoles; 1 = only a few, small vacuoles (mainly in the optic lobe) in only a few sections; 2 = many vacuoles in many sections (mainly in the optic lobe, but may also be a few in the central brain); 3 = vacuoles start to become prominent in the central brain; and 4 = many vacuoles in the central brain and some vacuoles in the optic lobes and central brain are large. Scoring of the neurodegeneration index was done blind with respect to genotype. The number of brains scored for each genotype is reported in the figures. Student’s t-test values were used to determine statistical significance.

Immunohistochemistry

Brains were dissected and fixed in 4% formaldehyde in PBS for 20 min at room temperature. Samples were then placed in blocking buffer (PBS with 0.1% Triton X-100 and 0.1% normal goat serum) for 2 hr at room temperature. Samples were incubated in primary antibodies overnight at 4°. Samples were subsequently washed five times in PBS, and then incubated in secondary antibodies for 2 hr at room temperature. Finally, samples were washed five times in PBS and mounted in Vectashield. Primary antibodies were diluted in blocking buffer and included: rabbit anti-tyrosine hydroxylase (1:100; Millipore, Bedford, MA), and chicken anti-GFP (1:500; Invitrogen). Secondary antibodies used were: goat anti-rabbit Alexa-568 and goat anti-mouse Alexa-488 (Invitrogen) at 1:200 and diluted in blocking buffer.

Confocal imaging and quantification

Images were obtained on a Leica LSM 500 confocal microscope. Serial 0.34 μm z-stacks were obtained for each image with a 2× zoom, using a Plan-Apochromat 100×/1.46 numerical aperture oil objective. For Figure 7, brightness and contrast were adjusted using Adobe Photoshop. Images were quantified with ImageJ software (Schneider et al. 2012), using brightest point projections of the acquired z-stacks. A circular region of interest (ROI) with a diameter of 1.2 µm was defined. Every GFP punctum within a tyrosine hydroxylase labeled cell was marked by the ROI if it was found to be larger than the ROI in any direction.

Figure 7.

Figure 7

ND23 mutants exhibit impaired locomotor activity. (A) ND23Del/ND2360114 flies show a more rapid age-dependent decline in climbing activity compared with ND23Del/+ controls. (B) ND23Del/ND2360114 mutants do not climb as well as ND23Del/+ controls after a mechanical shock. Student’s t-test was used to determine statistical significance. *=p<0.05, **=p<0.01, ***=p<0.001.

ATP assay

ATP levels were measured using bioluminescence with the Molecular Probes ATP Determine Kit (Thermo Fisher Scientific, Waltham, MA) following the recommended instructions. Preparation of experimental samples: seven flies were collected and each was rinsed several times in cold PBS. Heads were removed and homogenized in 140 µl of extraction buffer [6 M guanidine-HCL, 100 mM Tris (pH 7.8), 4 mM EDTA]. Then, 65 µl of homogenate (protein stock) was removed and frozen at −80° for protein quantification (see below). The rest of the homogenate was boiled for 5 min and then centrifuged at 14 K at 4° for 3 min. Next, 20 µl of the supernatant was diluted twice to a final dilution of 1:37.5 in dilution buffer [25 mM Tris (pH 7.8), 100 µM EDTA], and then centrifuged at 20,000 × g for 3 min at room temperature. A total of 5 µl of the experimental sample was diluted with 95 µl of the kit’s standard reaction mixture. Plates were read on a Biotek multimode microplate reader. Three luminescence reads per well were averaged. Background luminescence of each well before the addition of experimental samples was subtracted. Three technical replicates per biological replicate were averaged. A standard curve was run with each experiment and used to determine ATP values, which were then normalized to protein content. Protein content was determined using fluorescence and the NanoOrange Protein Quantitation Kit (Thermo Fisher Scientific) following the recommended instructions. For preparation of experimental samples, the protein stock (see above) was diluted to 75 and 50% with the kit’s 1× diluent. Plates were read on a Biotek Synergy 2 Multi-Mode microplate reader. Three technical replicates per biological replicate were determined. In order to easily compare values from multiple experiments, the average ATP value (normalized to protein content) was determined for all the controls in a given experiment. Each ATP value (normalized to protein content) within an experiment was then normalized to the control average from that same experiment. The reported means and SEMs were determined from these normalized values. Six biological replicates were performed with 2–4 day old flies, and seven biological replicates were performed with 17–19 day old flies. Statistical significance was determined using a two-tailed Student’s t-test.

Behavioral assays

For climbing assays, flies were raised at 25° and maintained at 29° as described for lifespan analysis. Flies (9–13 per vial) were transferred from 29° into a climbing chamber at 25°. The climbing chamber consisted of two empty vials stacked on top of each other, with the top vial inverted and taped to the bottom vial. After a 1 min rest period, flies were tapped down to the bottom of the vial and the number of flies that climbed above a line marking a vertical height of 8 cm within 10 sec was recorded. The climbing percentage for each vial was determined as the average of seven trials per vial, with 1 min rest periods between trials. The results from four to six vials were averaged to determine the climbing percentage for each genotype. Statistical significance was determined using a two-tailed Student’s t-test.

To assay sensitivity to mechanical shock (“bang-sensitivity”), flies (9–13 per vial) were transferred from 29° to an empty vial at 25°. After allowing the flies to rest for 2 min in the vial, they were subjected to mechanical shock by vortexing the vial at maximum speed for 10 sec. The number of flies that subsequently climbed above 5 cm within 10 sec after cessation of vortexing was recorded. Results of two trials per vial (with 1 min rest interval between trials) were averaged to determine the climbing percentage per vial. Results from four to seven vials were averaged to determine the climbing percentage for each genotype. Statistical significance was determined using a two-tailed Student’s t-test.

DNA sequencing

For DNA sequencing, a region of genomic (mitochondrial or nuclear) DNA from a single fly was first amplified using PCR and standard conditions. The primers used to make this template DNA are listed in Table S2. mtDNA templates were <3 kb in length, overlapping, and together covered a region of the mitochondrial genome that included all of the protein and tRNA coding genes. Template DNA was run on an agarose gel, and a single band of the correct size was purified from the gel for subsequent amplification by PCR with the BigDyeTerminator v3.1 Cycle Sequencing Kit (Thermo Fisher Scientific) and sequencing primers, which are also listed in Table S2. These PCR products were cleaned using Axygen AxyPrep Mag DyeClean Up Kit (ThermoFisher Scientific) and sequenced using Sanger methods at the University of Wisconsin Biotechnology Center DNA sequencing facility. Excluding A-T rich alignments, mitochondrial pseudogenes in nuclear chromosomes (numts) are short and rare in Drosophila melanogaster (Rogers and Griffiths-Jones 2012). Estimates range from three to six numts that have an average length of ∼200 bases, and together constitute ∼800 bps (Bensasson et al. 2001; Richly and Leister 2004; Pamilo et al. 2007; Rogers and Griffiths-Jones 2012). Nevertheless, by sequencing a single band of purified template DNA of the correct size (predicted from published mtDNA sequence), we have avoided accidental amplification of numts.

Sequence analysis was done using ApE-a plasmid Editor version 2.0.45 by M. Wayne Davis. We compared our sequence data to a “reference sequence” (accession no. U37541.1). We used 2–10 sequencing reactions from at least two flies to confirm differences between the mtDNA sequence in ND2360114 and the reference sequence, as well as differences between the mtDNA sequence in ND2360114 and ND23Del and ND23G14097.

mtDNA copy number

We used a published protocol for PCR-based determination of mtDNA copy number (Rooney et al. 2015). Briefly, 30 flies were homogenized in liquid nitrogen. DNA was isolated from the ground tissue using the DNeasy Blood and Tissue Kit (Qiagen, Valencia, CA). The DNA samples were diluted 1:2 in TE buffer, and the DNA concentration was determined using the Quant-iT Pico Green double-stranded DNA Assay Kit (Thermo Fisher Scientific). PCR was then performed using “100% template” (60 ng of DNA in nuclease-free water with a final volume of 5 µl), a “50% control” (30 ng of DNA in nuclease-free water with a final volume of 5 µl), and a “no template control” (5 µl of TE buffer in place of template DNA). A total of 20 µl of PCR master mix was added to these 5 µl samples for a total PCR volume of 25 µl. The PCR master mix contained 9.25 µl of nuclease-free water, 2.5 µl of 10× Ex Taq DNA polymerase buffer, 2.0 µl of 10 mM dNTPs, 2.5 µl of 10 µM forward and reverse primers [primers for D. melanogaster published in Rooney et al. (2015)], 1 µl of 25 mM MgCl2, and 0.25 µl of Ex Taq DNA polymerase. After PCR, the DNA concentration of the PCR product was determined by Quant-iT Pico Green double-stranded DNA Assay Kit. PCR conditions were optimized so that the PCR product concentration from the “50% control” was 40–60% of the PCR product concentration from the “100% template.” The following conditions were used for amplifying DNA from the mitochondrial genome: 94° for 2 min, 94° for 30 sec, 64° for 30 sec, 72° for 1 min, go to step 2 15×, and 72° for 5 min. The following conditions were used for amplifying DNA from the nuclear genome: 94° for 2 min, 94° for 30 sec, 65° for 30 sec, 72° for 1 min, go to step 2 19×, and 72° for 5 min. The ratio of mtDNA/nDNA was determined. For each genotype, four biological replicates were performed. For the data presented in Figure 12, ratios were normalized to the highest ratio in each genotype. Statistical significance was determined using a two-tailed Student’s t-test.

Figure 12.

Figure 12

Modification of ND23 mutants by mitochondrial background is not due to differences in mtDNA copy number. The amount of mtDNA relative to nuclear DNA was measured in (♀)ND23G14097/ND2360114 and (♀)ND2360114/ND23G14097 flies. Normalized values are graphed. Although these flies do have different mitochondrial backgrounds, they do not differ in mtDNA copy number (P = 0.54). Student’s t-test was used to determine no statistical significance.

Data availability

Strains and reagents are available upon request. File S1 contains detailed descriptions of all supplemental files. File S2 contains a movie showing the bang-sensitivity of ND23 mutants and controls (https://doi.org/10.6084/m9.figshare.5930281.v1). Table S1 lists mtDNA variants discovered. mtDNA sequences are deposited in GenBank as accession numbers KX889415.2, KX889416.2, and KX889417.2. Table S2 lists primers used in these studies.

Results

Mutant 60114 exhibits neurodegeneration and shortened lifespan

Among our large collection of temperature-sensitive paralytic mutants previously shown to be enriched for mutations in genes required for maintenance of neuronal viability (Palladino et al. 2002) we identified mutant line 60114, which exhibited a shortened lifespan (Figure 1A) and progressive, age-dependent neurodegeneration (Figure 1B). Neurodegeneration was manifested by the appearance of spongiform vacuolar lesions in H&E-stained brain sections.

Figure 1.

Figure 1

60114 mutant flies exhibit shortened lifespan and neurodegeneration. (A) The lifespan of 60114/60114 is significantly shorter than that of +/+ or 60114/+ (log-rank test P < 0.0001 for both males and females). Mean lifespan at 29° (days post eclosion) ± SEM 60114/60114: males, 16.1 ± 0.4 (n = 115, 6 trials); females, 17.9 ± 0.3 (n = 126, 7 trials). 60114/+: males, 51.5 ± 0.8 (n = 107, 7 trials); females, 51.6 ± 1.2 (n = 101, 7 trials). +/+: males, 39.0 ± 0.5 (n = 108, 6 trials); females, 39.4 ± 0.7 (n = 169, 9 trials). (B) Brain sections from 60114/60114 flies (aged at 29°) exhibit progressive, age-dependent vacuolar pathology not present in controls. The dotted ovals denote the area of extreme focal neuropathology in the posterior lateral protocerebrum. The age (days post eclosion) is indicated in the top right white box. The neurodegeneration index (Materials and Methods) score for each brain represented is indicated in the bottom left white box. Bar, 100 µm. (C) Quantification of neurodegeneration brain sections from 60114/60114 and 60114/+ flies using the neurodegeneration index. Error bars represent SEM.

To quantify the neurodegeneration phenotype, we utilized a neurodegeneration index (ND Index, see Materials and Methods and Figure S1) that scores the severity of neurodegeneration based on the size and abundance of vacuolar lesions. In previous studies, this index has proved to be a useful and reliable metric for comparing neurodegeneration among different genotypes under different conditions (Cao et al. 2013). Vacuolar lesions in 60114 homozygotes are not seen at 5–7 days post eclosion, but are apparent at 10–12 days post eclosion (Figure 1C). Most often, lesions first appear in the optic lobes, lateral horn and/or mushroom body calyces. As 60114 mutants age, vacuolar pathology progresses and becomes prominent in the central brain. Many flies eventually exhibit an extreme focal neuropathology (often symmetrically on either side of the brain) in the posterior lateral protocerebrum (Figure 1B, 50% of males, n = 20; 86% of females, n = 28). The mutant phenotypes are recessive since 60114/+ heterozygotes did not exhibit shortened lifespan (Figure 1A) or neurodegeneration (Figure 1, B and C).

Unexpectedly, we found that 60114/+ heterozygotes have a longer lifespan than Canton-S, the nominal wild-type background strain (Figure 1A). To examine the genetic basis of this lifespan extension, we generated 60114/+ heterozygotes in reciprocal crosses. When the maternal contribution came from the wild-type strain rather than 60114 homozygotes [(♀)+/60114 vs. (♀)60114/+, where (♀) indicates which genotype made the maternal contribution], lifespan was still extended in female heterozygotes, but not in male heterozygotes (Figure S2). Thus, the lifespan extension follows inheritance of the sex chromosomes. Because 60114 maps to the third chromosome (see below), this result suggests that the lifespan extension is not associated with 60114. Instead, this lifespan extension is likely due to an X-linked dominant variant in the 60114 background that increases lifespan, and/or a recessive X-linked variant in the Canton-S background that reduces lifespan, consistent with the well-documented phenomenon of hybrid vigor (Partridge and Gems 2007). In any case, it was distinct from the 60114-associated phenotypes that we investigated further.

60114 defines a new mutation of mitochondrial complex I protein ND23

We used standard deletion mapping to uncover the shortened lifespan and neurodegeneration phenotypes of 60114. Df(3R)Exel1862 (ND23Del) uncovered 60114, whereas Df(3R)ED5705 and Df(3R)Exel7327 did not, localizing the mutation to a region on chromosome 3 between sequence coordinates 15,793,796 and 15,901,434 that contains 17 genes (Figure S3). A recessive lethal mutation of one of these genes, NADH dehydrogenase (ubiquinone) 23 kDa subunit (ND23), ND23G14097, which is also lethal over ND23Del, failed to complement 60114 (Figure 2), indicating likely allelism. Western blot analysis confirmed that ND23 protein levels are strongly decreased in 60114 homozygous flies, as well as in 60114/ND23G14097 and 60114/ND23Del flies compared to controls (Figure 3). To confirm 60114 as a mutant allele of ND23, we sequenced ND23 in 60114 and Canton-S, and compared these sequences to a reference sequence (accession no. U37541.1). The ND23 sequence in Canton-S did not differ from the reference sequence. However, there were six base changes in the ND23 sequence from 60114 flies. Three of these base changes were synonymous. Two base changes occurred in an intron, but these were not in splicing or branch point consensus sequences. However, one base change was a G-to-A substitution 847 bases from the translational start site, which resulted in a glycine-to-aspartic acid amino acid substitution at amino acid position 199. We used the PROVEAN web server (Choi and Chan 2015) to predict the functional effect of this substitution. The PROVEAN score for this substitution is −6.919, and thus the substitution is deemed deleterious. Pairwise protein sequence alignment between ND23 and its human ortholog, NDUFS8, demonstrates that this protein is highly conserved (Figure S4), including the glycine at position 199. As confirmation, we found that both shortened lifespan (Figure 4 and Table 1) and neurodegeneration (Figure 5) in ND2360114/ND23Del could be rescued by ubiquitous expression of a UAS-ND23WT transgene using a Tubulin-Gal4 driver (Brand and Perrimon 1993). Together these results indicate that 60114 is a mutant allele of ND23 and will be referred to hereafter as, ND2360114.

Figure 2.

Figure 2

ND23G14097 fails to complement 60114. (A) The lifespan of 60114/ND23G14097 is significantly shorter than 60114/+ and ND23G14097/+ (log-rank test P < 0.0001 for both males and females). Mean lifespan at 29° (days post eclosion) ± SEM 60114/ND23G14097: males, 19.0.22 (n = 145, 8 trials); females, 18.0 ± 0.2 (n = 168, 9 trials). ND23G10497/+: males, 39.5 ± 0.7 (n = 100, 7 trials); females, 46.4 ± 0.5 (n = 100, 6 trials). Lifespans for +/+ and 60114/60114 are the same data shown in Figure 1. (B and C) 60114/ND23G14097 exhibit age-dependent neurodegeneration. (B) Brain sections from 60114/60114, 60114/ND23G14097, and +/+. The neurodegeneration index score for each brain represented is indicated in the white box. Bar, 100 µm. (C) Average neurodegeneration index score ± SEM: 60114/60114: 3.6 ± 0.1 (n = 12, re-represented from Figure 1). 60114/ND23G14097: 3.0 ± 0.1 (n = 10). ND2360114: 0 ± 0 (n = 3, re-represented from Figure 1). ND23G140097/+: 0 ± 0 (n = 3). Error bars represent SEM.

Figure 3.

Figure 3

ND2360114 and ND23G14097 are strong loss of function mutations. (A) Flies heterozygous for ND2360114 have decreased levels of ND23 protein. ND23 levels are further decreased in ND2360114 homozygotes. Decreased expression of ND23 protein in ND23G14097 is comparable to that of a deletion for the gene. (B) Quantification (n = 2). Error bars represent SEM.

Figure 4.

Figure 4

Shortened lifespan of ND23 mutants is rescued by ubiquitous expression of a wild-type ND23 transgene. Ubiquitous expression of UAS-ND23WT using aTub-Gal4 driver in an ND2360114/ND23Delmutant background (UAS-ND23WT/+; Tub-Gal4, ND2360114/ND23Del) rescues lifespan compared with Tub-Gal4, ND2360114/ND23Del controls (log-rank test P < 0.0001 for both males and females). Mean lifespan at 29° (days posteclosion) ± SEM Tub-Gal4, ND2360114/ND23Del: females, 22.9 ± 0.2 (n = 95, 6 trials); males, 22.5 ± 0.2 (n = 112, 7 trials). ND23Del/+: females, 39.2 ± 0.4 (n = 112, 7 trials); males, 34.9 ± 0.4 (n = 141, 10 trials). UAS-ND23WT/+; Tub-Gal4, ND2360114/ND23Del: females, 34.9 ± 0.7 (n = 80, 5 trials); males, 30.8 ± 0.5 (n = 84, 5 trials). Error bars represent SEM.

Table 1. Mean lifespan of flies examined in rescue experiments.

Genotype Mean restricted lifespan (days posteclosion)
Females Males
Tubulin-Gal4, ND2360114/ND23Del 22.9 ± 0.2 22.5 ± 0.2
ND23Del/+ 39.2 ± 0.4 34.9 ± 0.4
UAS-ND23WT/+; Tubulin-Gal4, ND2360114/ND23Del 34.9 ± 0.7 30.5 ± 0.5
C155-Gal4; ; ND2360114/ND23Del 24.5 ± 0.2 24.7 ± 0.3
C155-Gal4; UAS-ND23WT; ND2360114/ND23Del 30.2 ± 0.7 28.5 ± 0.6
Repo-Gal4/+; ND2360114/ND23Del 21.1 ± 0.3 21.4 ± 0.3
Repo-Gal4/UAS-ND23WT; ND2360114/ND23Del 20.8 ± 0.2 20.9 ± 0.3

Figure 5.

Figure 5

Neurodegeneration in ND23 mutants is rescued by ubiquitous expression of a wild-type ND23 transgene. Brain sections from (A) ND23Del/+, (B) Tub-Gal4, ND2360114/ND23Del, and (C) UAS-ND23WT/+; Tub-Gal4, ND2360114/ND23Del. (D) Average neurodegeneration index score ± SEM: ND23Del/+ (24–26 days): females, 0.7 ± 0.2 (n = 7); males, 0.7 ± 0.2 (n = 7). Tub-Gal4, ND2360114/ND23Del (21–23 days): females, 2.4 ± 0.2 (n = 8); males (n = 7), 1.9 ± 0.1. UAS-ND23WT/+; Tub-Gal4, ND2360114/ND23Del (21–23 days): females, 1.0 ± 0.0 (n = 6); males, 1.0 ± 0.1 (n = 11). Student’s t-test was used to determine statistical significance. ***=p<0.001, ****=p<0.0001. Bar, 100 µm.

Mitochondria are structurally and functionally aberrant in ND2360114

ND23 is a core component of mitochondrial complex 1, required for mitochondrial electron transport and ATP generation. Morphological abnormalities in mitochondrial appearance have been described in patients with diseases affecting complex 1 (Pham et al. 2004; Koopman et al. 2005), as well as in Drosophila models of mitochondrial dysfunction (Celotto et al. 2006; Park et al. 2006; Mast et al. 2008; Xu et al. 2008; Burman et al. 2014; Hegde et al. 2014). Even under normal conditions, mitochondrial morphology is highly dynamic and is variable from cell type to cell type (Hoppins 2014).

In Drosophila, abnormal mitochondrial morphology can be detected using a green fluorescent protein with a mitochondrial import signal (UAS-MitoGFP) (Park et al. 2006; Wu et al. 2013; Hegde et al. 2014). To clearly visualize mitochondria in individual cells, we needed to express the UAS-MitoGFP transgene in relatively isolated neurons. We accomplished this by targeting its expression to neurons that express either serotonin or dopamine using Dopa decarboxylase (Ddc)-Gal4. We dissected brains from 15–17 day old adults and probed them with antibodies against tyrosine hydroxylase, which labels dopamine neurons, and GFP. This double-labeling approach allowed us to clearly visualize GFP (mitochondria) in a subset of neurons (dopaminergic). Tyrosine hydroxylase immunohistochemistry has identified eight clusters of dopaminergic neurons in the Drosophila brain (Mao and Davis 2009). Neurons in the protocerebral posterior medial 2 (PPM2) cluster were easy to identify. Furthermore, their location in the brain, as well as the spacing between them, made them ideal for imaging. For these reasons, and for consistency, we only imaged cells in the PPM2 cluster (Figure 6). Mitochondria in ND23 mutant flies appeared grossly enlarged compared with controls. The number of neuronal cell bodies containing enlarged mitochondria (diameter >1.2 µm) increased nearly fourfold in Ddc-Gal4, UAS-MitoGFP/+; ND2360114/ND23G14097 mutant flies compared with Ddc-Gal4, UAS-MitoGFP/+; ND2360114/+ control flies (Figure 6D: control: 12 ± 5 (Avg. ± SEM), n = 65 cells from 10 PPM2 clusters in five brains; mutant: 47 ± 5, n = 79 cells from 12 PPM2 clusters in six brains; P < 0.001). Furthermore, the number of enlarged mitochondria in the cells also increased significantly (Figure 6E: control: 0.75 ± 0.5; mutant: 3.3 ± 0.1; P < 0.001). The perturbation in mitochondrial morphology in ND23 mutants was fully rescued by coexpressing the UAS-ND23WT transgene in the marked dopaminergic neurons, Ddc-Gal4, UAS-MitoGFP/UAS-ND23WT; ND2360114/ND23G14097 (Figure 6D: rescue: 5.1 ± 2.6; and Figure 6E: rescue: 0.3 ± 0.2, n = 57 from nine PPM2 clusters in five brains).

Figure 6.

Figure 6

Mitochondrial morphology and function is aberrant in ND23 mutants. (A–E) Whole mount brains from 15–17 day old adults stained with an antibody against GFP and tyrosine hydroxylase. Tyrosine hydroxylase–positive cells in the PPM2 cluster were imaged. (A) Ddc-Gal4, UAS-MitoGFP/+; ND2360114/+, (B) Ddc-Gal4, UAS-MitoGFP/+; ND2360114/ND23G14097, and (C) Ddc-Gal4, UAS-MitoGFP/UAS-ND23WT; ND2360114/ND23G14097. (D) Percentage of imaged cells containing at least one enlarged mitochondria (GFP puncta): ND23 mutant: 47 ± 5% (imaged 49 cells in 12 PPM2 clusters from six brains); control: 12 ± 5% (imaged 65 cells in 10 PPM2 clusters from five brains); rescue: 5 ± 3% (imaged 57 cells in nine PPM2 clusters from five brains). (E) The number of enlarged mitochondria per cell: ND23 mutant: 3.3 ± 0.1; control: 0.75 ± 0.1; rescue: 0.3 ± 0.2. (F) At 2–4 days post eclosion, ATP levels in the heads of ND2360114/ND2360114 flies is reduced compared controls (81 ± 5% of control values, P < 0.01). Student’s t-test was used to determine statistical significance. **=p<0.01, ***=p<0.001, ****=p<0.0001.

We tested whether ND2360114 disrupts mitochondrial function by quantifying ATP levels in the heads of mutant flies. At 2–4 days post eclosion, the ATP level in ND23 mutant heads is decreased to 81 ± 5% of controls (Figure 6F, P < 0.01). We also measured ATP levels in the heads of 17–19 day old flies and found a similar decrease in ND23 mutants compared with controls (77 ± 6% of controls; P < 0.05, data not shown). Thus, ND2360114 exerts deleterious effects both on mitochondrial morphology and function.

ND23 mutants exhibit behavioral deficits consistent with nervous system dysfunction

ND23 mutants exhibit several behavioral phenotypes indicative of impaired neural function, including temperature-sensitive paralysis (Figure S5), age-dependent impairment in locomotor activity (Figure 7A), and bang-sensitive paralysis (Figure 7B and File S2). Although the bang-sensitive phenotype becomes more severe in older ND23 mutants, even 2–4 day old mutants are sensitive to mechanical shock as shown by the impaired climbing ability of young ND23 flies after vortexing for 10 sec (Figure 7, A and B and File S2).

ND23 is required in neurons for normal lifespan and neuronal maintenance

To investigate whether decreased lifespan and neurodegeneration in ND23 were due to loss of ND23 function in neurons or glia, we tested whether neuronal-specific or glial-specific expression of the UAS-ND23WT transgene could rescue these mutant phenotypes. Similar to ubiquitous expression by Tub-Gal4, neuronal-specific expression of UAS-ND23WT by C155-Gal4 rescued the shortened lifespan. This rescue was nearly complete in mutant males and partial in mutant females (Figure 8A and Table 1). Neuronal-specific expression of UAS-ND23WT also delayed the onset of neurodegeneration, again more strongly in males than females (Figure 9, A and B). Although we have not further investigated the basis of this sex-dependent difference in rescue with the X-chromosome C155-Gal4 driver, it is consistent with higher levels of Gal4 expression in males than in females owing to dosage compensation (Warrick et al. 1999; Long and Griffith 2000). In contrast with neuronal expression of ND23, glial-specific expression of UAS-ND23WT using Repo-Gal4 did not rescue either lifespan (Figure 8B and Table 1) or neurodegeneration (Figure 9, C and D). These results suggest that the neurodegeneration observed in ND23 mutants results primarily from loss of ND23 activity in neurons rather than glia, and that neural dysfunction in ND2360114 is predominantly responsible for shortened lifespan.

Figure 8.

Figure 8

Neuronal-specific expression of a wild-type ND23 transgene rescues lifespan, whereas glial-specific expression does not. (A) The lifespan of C155-Gal4; UAS-ND23WT; ND2360114/ND23Del is significantly longer than C155-Gal4; ND2360114/ND23Del (log-rank test P < 0.0001 for both males and females). (B) In contrast, the lifespan of Repo-Gal4/UAS-ND23WT; ND2360114/ND23Del is not significantly different from Repo-Gal4/+; ND2360114/ND23Del (P = 0.45, females; P = 0.67, males). Mean lifespan at 29° (days post eclosion) ± SEM C155-Gal4; ND2360114/ND23Del: females, 24.5 ± 0.2 (n = 102, 8 trials); males, 24.7 ± 0.3 (n = 87, 7 trials). C155-Gal4; UAS-ND23WT; ND2360114/ND23Del: females, 30.2 ± 0.7 (n = 84, 5 trials); males, 28.5 ± 0.6 (n = 85, 6 trials). Repo-Gal4/+; ND2360114/ND23Del: females, 21.1 ± 0.3 (n = 86, 7 trials); males, 21.4 ± 0.3 (n = 85, 7 trials). Repo-Gal4/UAS-ND23WT; ND2360114/ND23Del: females 20.8 ± 0.2 (n = 148, 10 trials); males, 20.9 ± 0.3 (n = 124, 8 trials). Lifespan data for UAS-ND23WT/+; Tub-Gal4, ND2360114/ND23Del is from Figure 6. Error bars represent SEM.

Figure 9.

Figure 9

Neuronal-specific expression of a wild-type ND23 transgene delays neurodegeneration. (A–C) Neuronal-specific expression of a UAS-ND23WT transgene by C155-Gal4 delays neurodegeneration. Brain sections from (A) C155-Gal4; ND2360114/ND23Del and (B) C155-Gal4; UAS-ND23WT/+; ND2360114/ND23Del. (C) Average neurodegeneration index ± SEM score: C155-Gal4; ND2360114/ND23Del at 19–21 days: females, 2.6 ± 0.2 (n = 10); males, 2.0 ± 0.2 (n = 10); and at 21–23 days: females 2.9 ± 0.1 (n = 13); males 2.8 ± 0.1 (n = 19). C155-Gal4; UAS-ND23WT/+; ND2360114/ND23Del at 19–21 days: females, 1.3 ± 0.1 (n = 12), males, 0.5 ± 0.1 (n = 13); and at 21–23 days: females, 2.3 ± 0.2 (n = 21), males, 1.0 ± 0.1 (n = 14). (D–F) Glial-specific expression of a UAS-ND23WT transgene by Repo-Gal4 does not rescue neurodegeneration. Brain sections from (D) Repo-Gal4/+; ND2360114/ND23Del and (E) Repo-Gal4/UAS-ND23WT; ND2360114/ND23Del. (F) Average neurodegeneration index ± SEM score at 21–23 days for: Repo-Gal4/+; ND2360114/ND23Del: females, 3.5 ± 0.5 (n = 4); males, 2.7 ± 0.3 (n = 3). Repo-Gal4/UAS-ND23WT; ND2360114/ND23Del: females, 3.2 ± 0.2 (13); males, 2.8 ± 0.3 (n = 10). Student’s t-test was used to determine statistical significance. **=p<0.01, ****=p<0.0001. Bar, 100 µm.

ND23 mutant phenotypes are modified by a maternally inherited factor

During the course of these investigations, we discovered that the severity of the mutant ND23 phenotypes was dependent on a maternally inherited factor that was independent of nuclear transmission. Figure 10A illustrates the crossing scheme used in the experiments that revealed the presence of this maternally inherited factor. We noticed that when ND2360114 homozygous females were crossed to ND23G14097 males, the (♀)ND2360114/ND23G14097 progeny (Figure 10A, gray cell) had a shorter lifespan than flies generated from the reciprocal cross that had an identical nuclear genotype, (♀)ND23G14097/ND2360114, but a different maternal contribution (Figure 10A, blue cell, and 10B, Table 2). The same result was observed in the male progeny from this crossing scheme (Figure S6A and Table 2). However, because the male progeny from these reciprocal crosses did not have identical sex chromosome genotypes, we limited our analysis to females. Similar results were also observed when ND23Del was used instead of ND23G14097 in these reciprocal crosses (Figure S6B).

Figure 10.

Figure 10

Lifespan in ND23 mutants varies with maternal source of mitochondria. (A) Mating schemes of reciprocal crosses that generate offspring with identical nuclear genotype but possessing different mitochondrial content. Black and blue circles represent F1 zygotes from the respective crosses shown. F1 zygotes from reciprocal crosses have identical nuclear genotypes (nuclei that are half gray and half blue), but the maternal and paternal contributions are reversed, so the source of their mitochondria differs: mitochondria in the black cell were derived from ND2360114, whereas mitochondria in the blue cell were derived from ND23G14097. (B) Lifespan is extended in (♀)ND23G14097/ND2360114 females (blue line, mean lifespan at 29° ± SEM = 22.2 ± 0.3 days, n = 100, 5 trials), compared with that of (♀)ND2360114/ND23G14097 (black line, 18.4 ± 0.3 days, n = 100, 6 trials, log-rank test P < 0.0001). (C) The age-dependent decline in climbing ability is greater in (♀)ND2360114/ND23G14097 flies than in (♀)ND23G14097/ND2360114 flies. Student’s t-test was used to determine statistical significance. (D) Brain sections from (♀)ND23G14097/ND2360114 mutants at 17–19 and 23–25 days post eclosion. (E) The neurodegeneration observed in (♀)ND2360114/ND23G14097 at 17–19 days (black bar, data from Figure 2C) is delayed in (♀)ND23G14097/ND2360114 flies [blue bars, average neurodegeneration index ± SEM = 1.0 ± 0.3 at 17–19 days (n = 6), and 3.0 ± 0.6 (n = 3) at 23–25 days]. Student’s t-test was used to determine statistical significance. *=p<0.05, **=p<0.01, ***=p<0.001, ****=p<0.0001.

Table 2. Mean lifespan of ND23 mutants varies with mitochondrial background.

Genotype Mean lifespan (days post eclosion)
Females Males
Canton-S 39.4 ± 0.7 39.0 ± 0.5
(ND2360114)maternal/ND23G14097 18.4 ± 0.3 17.9 ± 0.3
ND2360114/(ND23G14097)maternal 22.2 ± 0.3 23.4 ± 0.1
(ND2360114)new MITO-maternal/ND23G14097 24.4 ± 0.3 24.6 ± 0.2

We subsequently found that climbing ability and neurodegeneration in ND23 mutants was also dependent on a maternally inherited factor, independent of nuclear transmission. (♀)ND23G14097/ND2360114 flies were stronger climbers than (♀)ND2360114/ND23G14097 flies (Figure 10C), as was also the case for (♀)ND23DEL/ND2360114 compared with (♀)ND2360114/ND23Del (Figure S7). Moreover, the onset of neurodegeneration was delayed in (♀)ND23G14097/ND2360114 flies compared with (♀)ND2360114/ND23G14097 (Figure 10, C and D).

Lifespan reduction and neurodegeneration in ND23 mutants is modified by mitochondrial background

The pattern of transmission of the mutant phenotype-modifying factor observed in these experiments was indicative of maternal inheritance. Because mitochondria are maternally inherited, we hypothesized that mitochondria were the source of the maternally inherited factor that was interacting with mutations of ND23 to determine lifespan and the age at neurodegeneration onset. To test this hypothesis, we replaced mitochondria in the ND2360114 line with mitochondria from the ND23G14097 line (Figure 11A, purple cell). To do this, we crossed ND23G14097 females with ND2360114 males. The ND23G14097 mutation is recessive lethal, so the stock is maintained using a balancer third chromosome, TM6C, allowing us to recover heterozygous F1 ND2360114/TM6C male and female progeny. These flies were then intercrossed to generate a new balanced stock. As mitochondria are strictly maternally inherited, this new stock contained mitochondria derived entirely from the ND23G14097 line, but maintained the ND2360114 mutation. We refer to these flies as ND2360114-new MITO. We then crossed ND2360114-new MITO females to ND23G14097 males and measured the lifespan of (♀)ND2360114-new MITO/ND23G14097 female progeny (Figure 11B, purple line, and Table 2). The mean lifespan of these flies was similar to the mean lifespan of (♀)ND23G14097/ND2360114 flies (Figure 11B, blue line, and Table 2). Similar results were observed in male progeny (Figure S6A and Table 2), or when mitochondria in ND2360114 were replaced with mitochondria from ND23Del (Figure S6B and Table 2). Thus, although the ND2360114/ND23G14097 mutant genotype reduces mean lifespan by 38% in females (from 39.4 ± 0.7 to 24.4 ± 0.3 days) and 37% in males (from 39.0 ± 0.5 to 24.5 ± 0.2 days), flies that have mitochondria from the ND2360114 line have an additional reduction in mean lifespan. Mean lifespan is reduced an additional 15% for females (to 18.4 ± 0.3 days) and an additional 17% for males (to 17.9 ± 0.3 days).

Figure 11.

Figure 11

Mitochondrial background can delay onset of neurodegeneration in ND23 mutants. (A) Mating scheme to replace the mitochondria in the ND2360114 line (gray mitochondria) with mitochondria from the ND23G14097 line (blue mitochondria) is shown at the top. The purple circle represents an F1 zygote from the last cross in the scheme. The purple F1 zygotes have the same nuclear genotype as the gray zygotes (from Figure 10) but the same mitochondria as the blue zygotes (from Figure 10). (B) The longer lifespan of (♀)ND23G14097/ND2360114 (blue line) compared to (♀)ND2360114/ND23G14097 (black line) first shown in Figure 10 depends on mitochondrial rather than nuclear genotype. The lifespan of (♀)ND2360114/ND23G14097 females is extended when their mitochondria come from the ND23G14097 line (♀)ND2360114-new MITO/ND23G14097 (purple line, 24.4 ± 0.3 days, n = 124, 8 trials, P < 0.0001). (C) Brain sections from (♀)ND2360114-new MITO/ND23G14097 at 17–19 and 22–24 days post eclosion. (D) Neurodegeneration observed in (♀)ND2360114/ND23G14097 at 17–19 days (average neurodegeneration index ± SEM = 3.2 ± 0.29, n = 12) is delayed in (♀)ND2360114-new MITO/ND23G14097 females (1.5 ± 0.2 at 17–19 days; n = 6, and 3.5 ± 0.2; n = 8 at 22–24 days). Student’s t-test was used to determine statistical significance. ***=p<0.001, ****=p<0.0001. Bar, 100 µm.

We next tested whether neurodegeneration observed in (♀)ND2360114/ND23G14097 was modified by mitochondria from ND23G14097. We compared neurodegeneration in (♀)ND2360114/ND23G14097 and (♀)ND2360114-new MITO/ND23G14097 brains and found that mitochondria from ND23G14097 delayed the onset of neurodegeneration (Figure 11, C and D). Although brains from (♀)ND2360114/ND23G14097 mutants exhibit extensive neurodegeneration at 17–19 days post eclosion (average neurodegeneration index score = 3.2), brains from (♀)ND2360114-new MITO/ND23G14097 at this same age exhibit very little neurodegeneration (average neurodegeneration index score = 1.5). However, by 22–24 days of age (♀)ND2360114-new MITO/ND23G14097 have developed extensive neurodegeneration (average neurodegeneration index score = 3.5).

Our results support the conclusion that the severity of the ND23 mutant phenotype is dependent on background mitochondrial genotype. It is important to emphasize that the mitochondrial genotype in ND2360114 or ND23G14097 does not by itself shorten lifespan or cause neurodegeneration in ND23/+ heterozygotes (Figure 1 and Figure 2). Thus, the ability of the mitochondrial background to modify lifespan and neurodegeneration apparently depends on a genetic interaction between a presumptive mitochondrial variant and the defect present in ND23 mutants.

Phenotypic modification of ND23 mutants correlates with a mtDNA variant

The data presented above suggest that the phenotypic severity of ND23 mutants is subject to modification by a mitochondrially inherited factor. Specifically, mitochondria from the ND2360114 line enhance the mutant phenotype and/or mitochondria from ND23G14097 or ND23Del partially suppress the mutant phenotype. Thus, we hypothesized that there would be differences in the mtDNA sequence between ND2360114, and ND23G14097 and ND23Del that would be responsible for the phenotypic modification.

The mitochondrial genome in D. melanogaster contains 19,517 bp and codes for 13 proteins (all of which are subunits of the electron transport chain), 2 ribosomal RNAs, and 22 tRNAs. We used Sanger sequencing to sequence all 13 protein-coding genes and 22 tRNA genes in mitochondria from ND2360114 (KX889415.2), ND23G14097 (KX889416.2), and ND23Del (KX889417.2). Although we saw evidence of heteroplasmy in all the mtDNA sequences, we did not attempt quantification and simply made base calls from the major variant.

mtDNA sequence from ND23G14097 and ND23Del were nearly identical. They only differed at six bases in a noncoding region between ND3 and tRNA-Ala. In this region, ND23Del had a deletion of two bases (at position 5963 and 5964), whereas ND23G14097 had a deletion of four bases (at 5967, 5969, 5970, and 5971). ND2360114 shared the four-base deletion with ND23G14097. Although the mtDNA sequence from ND23Del and ND23G14097 were nearly identical, there were 51 differences between these two sequences and the mtDNA sequence from ND2360114 (Table S1 and Table 3). One difference was a duplication of five bases (TTAAT) in ND23G14097 and ND23Del that occurred in a noncoding region immediately 3′ of the tRNA-Ala sequence and five bases upstream of the 5′ start of tRNA-Arg. The other 50 differences were all SNPs found in coding regions: 38 were synonymous, 11 were nonsynonymous, and one was in the gene that codes for tRNA-Glu. We saw evidence of potential heteroplasmy in only one of the 51 changes we report; although the synonymous SNP in ND1 at position 315 is a G in ND2360114, there is evidence that there may also be mtDNA with a T in this position, as is seen in ND23Del and ND23G14097. We used ARWEN (Laslett and Canbäck 2008) to determine that the A-to-C SNP in the tRNA-Glu occurs in the TΨC loop, immediately 3′ of the stem, and is not predicted to significantly alter the structure of the tRNA. We used the PROVEAN web server (Choi and Chan 2015) to predict the functional effect of the 11 nonsynonymous SNPs. 10 of the 11 were determined to cause neutral amino acid substitutions. However, the thymine-to-cytosine base change leading to a leucine-to-serine amino acid change at amino acid 12 in ATPase 6 was predicted to be deleterious. Importantly, 47 of the 51 identified differences are represented in at least one of 13 Drosophila mitochondrial haplotypes sourced from around the world (Australia; Spain, USA, Benin, Papua New Guinea, Chile, Sweden, and Zimbabwe) that have been sequenced (Wolff et al. 2016a), including the potentially deleterious leucine to serine substitution in ATPase6. However, the SNPs in the cytochrome B gene that results in an asparagine-to-aspartic acid amino acid change at position 217, and an arginine-to-glutamine amino acid change at position 342 were not seen in any of the natural population haplotypes; nor was the SNP in the ND2 gene that results in a methionine-to-valine amino acid change position 280. The TTAAT duplication in the noncoding region between tRNA-Ala and tRNA-Arg was also not found in any of the natural populations. Thus, we identified several mtDNA mutations, one or more of which likely underlies the mitochondrial modification of the shortened lifespan and neurodegeneration phenotypes caused by mutant ND23.

Table 3. The ND2360114 mtDNA sequence differs from the ND23G14097 and ND23Del consensus sequence at 51 sites.

Effected gene Effected complex Type of change Number of synonymous changes Number of nonsynonymous changes Amino acid substitution due to nonsynonymous change
ND1 1 SNP 3 1 V190M
ND2 1 SNP 5 2 I277L, M280Va
ND3 1 SNP 1 0
ND4 1 SNP 4 1 V161L
ND4L 1 SNP 1 0
ND5 1 SNP 2 1 M520I
ND6 1 SNP 1 1 Y21F
CYTB 3 SNP 2 2 N73Da, R342Qa
COX1 4 SNP 10 0
COX2 4 SNP 2 0
COX 3 4 SNP 5 0
ATPase 6 5 SNP 2 3 L12Sb
S180P
M187V
tRNA-Glu SNP
3′ of tRNA-Ala five base duplicationa
a

Not yet found in a natural population.

b

Predicted to be deleterious.

The phenotypic modification of ND23 mutants by mitochondrial background is not due to differences in mtDNA copy number

In humans, mtDNA genetic variants may modulate mtDNA copy number (Suissa et al. 2009). In various diseases modeled by cultured cell lines established by transmitochondrial cytoplasmic hybrid production, mtDNA haplogroups have been associated with changes in mtDNA copy number (Wallace 2015). And finally, in Drosophila, cytoplasmic suppression of a mutant phenotype caused by mutation in a nuclear encoded mitochondrial protein was correlated with increased mtDNA copy number (Chen et al. 2012). To determine whether the mitochondrial backgrounds that modify ND23 mutant phenotypes are correlated with mtDNA copy number differences, we measured mtDNA copy number in (♀)ND23G14097/ND2360114 and (♀)ND2360114/ND23G14097 flies. Although these flies do have different mitochondrial backgrounds, they do not differ in mtDNA copy number (Figure 12).

Discussion

We have isolated a novel, recessive mutation, ND2360114, adding to a collection of Drosophila mutants with defects in mitochondrial or nuclear genes encoding components of the mitochondrial oxidative-phosphorylation system, all of which shorten lifespan, cause neurodegeneration, and lead to mitochondrial abnormalities (Celotto et al. 2006; Liu et al. 2007; Mast et al. 2008; Xu et al. 2008; Burman et al. 2014). These features are shared with patients diagnosed with Leigh syndrome including those with mutations in NDUFS8, the human homolog of ND23.

Although there is a wide range of disease onset, Leigh syndrome is typically first seen before 12 months of age. It is characterized by multifocal spongiform degeneration localized diffusely throughout the brain, but particularly in the basal ganglia and/or brainstem. The lesions are often bilateral and symmetrical, with relative preservation of neurons, and are associated with demyelination and gliosis. Indeed, white matter lesions may be prominent (Lake et al. 2015). Similar to patients with Leigh syndrome, degeneration observed in Drosophila ND23 mutants is also spongiform, most prominent in the neuropil, and mutant flies often develop a characteristic lesion in the posterior lateral protocerebrum that is symmetrical and bilateral.

The characteristic clinical features of Leigh syndrome are primarily neurological (e.g., seizures, hypotonia, ataxia, cognitive impairment), but can also be multisystemic (e.g., gastrointestinal, pulmonary, cardiac, metabolic). The cellular and molecular mechanisms responsible for this clinical variability are not fully understood. Here, we demonstrate that the shortened lifespan and neurodegeneration in ND23 mutants can be substantially rescued by expression of wild-type ND23 in neurons, but not in glia. Thus, ND23 dysfunction in the nervous system, and specifically in neurons rather than glia, is responsible for much of the neurodegeneration and early death. This is likely due to the increased energy demands of the nervous system, particularly neurons, compared with glia and other tissues, which may explain why glia can survive without the citric acid cycle, using only glycolysis to satisfy their energy demands, whereas neurons cannot (Volkenhoff et al. 2015). Furthermore, our data suggests that although brain lesions in Leigh syndrome are often accompanied by demyelination, this is not a direct consequence of ND23 defects within glia, but instead a complication from disrupted homeostasis from compromised neurons. However, the fact that ubiquitous expression of wild-type ND23 provides a somewhat greater degree of rescue (of both lifespan and neurodegeneration) than neuronal-specific rescue suggests that ND23 dysfunction may also have important phenotypic consequences in cells other than neurons. Although a variety of cells that support nervous system function could be impaired, the most likely candidates are glia. Alternatively, the somewhat greater degree of rescue seen with ubiquitous expression of wild-type ND23 than with neuronal-specific expression may be due to differences in the relative level of transgene induction by Tub-Gal4 vs. C155-Gal4.

Interestingly, there are some differences between our results and a recently published study on ND23 using RNA interference (RNAi) (Cabirol-Pol et al. 2018). Although neuronal knockdown of ND23 caused some phenotypes similar to those observed in ND23 mutants, including a shortened lifespan and impaired climbing ability, it did not lead to obvious brain degeneration as is seen in ND23 mutants. Glial knockdown of ND23 RNAi did, however, cause severe brain vacuolization, leading to the suggestion that mitochondrial dysfunction in glia may contribute to mitochondrial disease pathology. However, our data suggest that normal function of ND23 in neurons is most critical for maintaining neuronal integrity. Thus, the loss-of-function phenotypes seen in ND23 mutants and in flies expressing ND23 RNAi are not identical. Although these differences may be due to off-target effects of the RNAi, they may also reveal the complexity of the precise role of this protein in mitochondrial function and nervous system integrity.

This complexity likely underlies much of the heterogeneity in Leigh syndrome, and other mitochondrial disorders. Mutations in over 75 genes are associated with Leigh syndrome (Lake et al. 2016). However, as with other mitochondrial disorders, individuals with the same mutation can have variable disease presentation and life expectancy, suggesting that other genetic or environmental conditions modify the disease and contribute to disease heterogeneity (Budde et al. 2003; Marina et al. 2013).

It has been hypothesized that mito-nuclear interactions can account for some of the unexplained phenotypic variability of mitochondrial disease (Wallace et al. 1999; Wolff et al. 2014). Because mtDNA has a significantly higher mutation rate than nDNA, there is a substantial background of existing mitochondrial variants within populations (Ballard and Whitlock 2004; Lynch 2007). As the nuclear and mitochondrial genomes must work in concert, mutations in either genome create the possibility of genetic epistasis. For example, substituting mtDNA from D. simulans into the closely related D. melanogaster can lead to a mito-nuclear mismatch between a mitochondrial-encoded tRNA and a nuclear-encoded tRNA synthetase, causing large maladaptive effects on development and fitness (Meiklejohn et al. 2013). Within species, increasing evidence suggests that natural sequence polymorphism in mtDNA can affect development, fitness, lifespan (Wolff et al. 2014), gene expression (Innocenti et al. 2011), respiratory capacity, and mitochondrial number per cell (Kenney et al. 2014; Wolff et al. 2016b). The magnitude and direction of these effects can depend on the nuclear genetic background. Furthermore, some evidence suggests that naturally occurring mtDNA polymorphisms can modify severity of nuclear-encoded mitochondrial disorders. For example, mtDNA haplotype correlates with the severity of cardiomyopathy associated with adenine translocator-1 deficiency and the clinical expression of Leber’s hereditary optic neuropathy (Hudson et al. 2007; Strauss et al. 2013). Finally, in Drosophila, mitochondrial disease-like phenotypes can be suppressed by a maternally inherited factor, likely mitochondria (Chen et al. 2012).

Here we directly demonstrate that shortened lifespan and neurodegeneration in ND23 mutants are modified by a maternally inherited factor. Thus, our data strongly suggest that this factor is mitochondrial background, although we cannot rule out some other currently unknown maternally inherited factor. Specifically, ND23 mutants with mitochondria from ND2360114 die sooner and show neurodegeneration earlier than ND23 mutants with mitochondria from the ND23G14097 or ND23Del lines. We sequenced all 13 protein coding genes and 22 tRNA genes from all three ND23 mutant lines to determine whether there were mtDNA coding differences that could account for the mitochondrial modification of these phenotypes. We found 51 potential candidates; one of these differences was a duplication of five bases in a noncoding region between two tRNAs, the rest were SNPs located in gene coding regions.

As targeted manipulation of the mitochondrial genome is not yet feasible, we cannot directly test which of the identified changes is responsible for modifying the ND23 mutant phenotype. However, some of the mitochondrial variants appear to be more likely candidates than others. Of the 50 mitochondrial SNPs we identified, 38 lead to synonymous amino acid changes. These SNPs are also naturally occurring, making these 38 changes less likely candidates for epistatic interactions with nuclear variants. Although it is difficult to predict the consequences of a base substitution on tRNA function, the SNP in tRNA-Glu is not expected to have large structural effects. Furthermore, this SNP is also found in natural populations. Thus, we cautiously suggest it is also an unlikely candidate. However, we want to emphasize that the mitochondrial background that modifies the homozygous mutant ND23 phenotype does not have much, if any, effect on flies heterozygous for mutant ND23. Thus we do not expect the mitochondrial variant alone to cause severe phenotypic effects. Nevertheless, we believe the best candidates are the 11 non-synonymous SNPs and the five-base duplication in the noncoding region between tRNA-Ala and tRNA-Arg. We can further speculate on which of these 12 candidates are most likely to underlie the phenotypic interaction with ND23 mutants to modify lifespan and neurodegeneration.

The nonsynonymous SNP causing an isoleucine-to-methionine substitution at position 502 in the ND5 subunit of complex I in ND2360114, but not in ND23G14097 or ND23Del is an intriguing candidate. PROVEAN predicts this to be a neutral mutation and the SNP is found in natural populations, which suggests it is unlikely to have significant functional effects in vivo. However, this ND5 SNP may be detrimental in an ND23 mutant background, especially because the ND5 subunit is likely to interact physically with the ND23 subunit in complex 1 (Sazanov and Hinchliffe 2006). Such a possibility would be consistent with our observation that the mitochondrial variant responsible for modifying lifespan and neurodegeneration in ND23 mutants does not have significant effects on these phenotypes in a wild-type background.

Four of the other 11 changes are also plausible candidates for a mito-nuclear interaction with ND23 mutants: The leucine-to-serine substitution in the ATPase 6 subunit of complex V that is predicted by PROVEAN to be deleterious, and the two coding variants in cytochrome B and the duplication of five bases in the noncoding region between tRNA-Ala and tRNA-Arg that have not yet been found in natural populations, possibly owing to deleterious effects on their own or in combination with other nuclear-encoded variants. Although ATPase 6, cytochrome B, tRNA-Ala, and tRNA-Arg do not physically interact with ND23, mutations in any of these molecules could conceivably alter the physiological environment in which ND23 acts, thereby exacerbating the phenotypic manifestation of ND23 mutants.

It is important to note that we have not measured the degree of heteroplasmy at any location in any of the mitochondrial backgrounds. Base calls were made from the major variant. Thus, it remains possible that differences in the presence of a minor mtDNA variant could be responsible for modification of the mutant ND23 phenotype and further analysis will be required to investigate this possibility.

In conclusion, we have isolated a mutation of ND23 that causes phenotypes in flies that closely parallel those of Leigh syndrome in humans, one of the most commonly inherited mitochondrial disorders. Further characterization of this mutant should help elucidate the cellular and molecular mechanisms that underlie the pathophysiology of Leigh syndrome, which may reveal new avenues for therapeutic intervention. Moreover, we discovered that the phenotypic severity of ND2360114 varies depending on the mitochondrial background. Sequence analysis of mitochondrial genomes identified several mitochondrial variants, one or more of which are likely candidates for the phenotypic interaction with ND2360114. Although mito-nuclear interactions have long been suggested to explain unexpected variation in phenotypic severity of mitochondrial disorders, there are still relatively few examples where such an interaction can be convincingly demonstrated in vivo. Although further work is needed to resolve the remaining details of the interaction we discovered, it provides a compelling in vivo demonstration of the phenotypic importance of mito-nuclear interactions in the context of mitochondrial disease.

A deeper understanding of the mito-nuclear interaction we report here should not only clarify its mechanism, but also enhance our general understanding of mito-nuclear interactions and their effect on mitochondrial function in both normal and disease conditions. Future experiments are aimed at determining the specificity of the mito-nuclear interaction described here. Do the mitochondrial backgrounds we have identified that modify ND23 mutations also modify other mitochondrial mutant phenotypes? Can the mutant ND23 mutant phenotype be modified by other mtDNA backgrounds? Furthermore, given that mitochondria seem to have a prominent role in the pathology of neurodegenerative diseases in general (Johri and Beal 2012), it will be important to test whether mutant phenotypes observed in Drosophila models of other neurodegenerative diseases, such as Alzheimer’s and Parkinson’s, can also be modified by mtDNA backgrounds.

Supplementary Material

Supplemental material is available online at www.genetics.org/lookup/suppl/doi:10.1534/genetics.118.300818/-/DC1.

Acknowledgments

We thank Ling Ling Ho and Robert Kreber for excellent technical assistance; Porter Pavalko, Adam Seraphin, and Bowon Joung for their help with various experiments; members of the Ganetzky laboratory for helpful suggestions throughout the course of this work; and David Wassarman, Grace Boekhoff-Falk, and Michael Perounsky for comments on the manuscript. This research was supported by “The Biology of Aging and Age Related Diseases” training grant T32-AG000213, from the Institute on Aging, University of Wisconsin (to C.A.L.) and National Institutes of Health grants R01 NS015390 and R01 AG03620 (to B.G.).

Footnotes

Communicating editor: H. Bellen

Literature Cited

  1. Babcock D. T., Shen W., Ganetzky B., 2015.  A neuroprotective function of NSF1 sustains autophagy and lysosomal trafficking in Drosophila. Genetics 199: 511–522. 10.1534/genetics.114.172403 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ballard J. W., Whitlock M. C., 2004.  The incomplete natural history of mitochondria. Mol. Ecol. 13: 729–744. 10.1046/j.1365-294X.2003.02063.x [DOI] [PubMed] [Google Scholar]
  3. Bensasson D., Zhang D., Hartl D. L., Hewitt G. M., 2001.  Mitochondrial pseudogenes: evolution’s misplaced witnesses. Trends Ecol. Evol. 16: 314–321. 10.1016/S0169-5347(01)02151-6 [DOI] [PubMed] [Google Scholar]
  4. Brand A. H., Perrimon N., 1993.  Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development 118: 401–415. [DOI] [PubMed] [Google Scholar]
  5. Bridges H. R., Birrell J. A., Hirst J., 2011.  The mitochondrial-encoded subunits of respiratory complex I (NADH:ubiquinone oxidoreductase): identifying residues important in mechanism and disease. Biochem. Soc. Trans. 39: 799–806. 10.1042/BST0390799 [DOI] [PubMed] [Google Scholar]
  6. Budde S. M., van den Heuvel L. P., Smeets R. J., Skladal D., Mayr J. A., et al. , 2003.  Clinical heterogeneity in patients with mutations in the NDUFS4 gene of mitochondrial complex I. J. Inherit. Metab. Dis. 26: 813–815. 10.1023/B:BOLI.0000010003.14113.af [DOI] [PubMed] [Google Scholar]
  7. Burman J. L., Itsara L. S., Kayser E. B., Suthammarak W., Wang A. M., et al. , 2014.  A Drosophila model of mitochondrial disease caused by a complex I mutation that uncouples proton pumping from electron transfer. Dis. Model. Mech. 7: 1165–1174. 10.1242/dmm.015321 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cabirol-Pol M. J., Khalil B., Rival T., Faivre-Sarrailh C., Besson M. T., 2018.  Glial lipid droplets and neurodegeneration in a Drosophila model of complex I deficiency. Glia 66: 874–888. [DOI] [PubMed] [Google Scholar]
  9. Cao Y., Chtarbanova S., Petersen A. J., Ganetzky B., 2013.  Dnr1 mutations cause neurodegeneration in Drosophila by activating the innate immune response in the brain. Proc. Natl. Acad. Sci. USA 110: E1752–E1760. 10.1073/pnas.1306220110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Celotto A. M., Frank A. C., McGrath S. W., Fergestad T., Van Voorhies W. A., et al. , 2006.  Mitochondrial encephalomyopathy in Drosophila. J. Neurosci. 26: 810–820. 10.1523/JNEUROSCI.4162-05.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Chen S., Oliveira M. T., Sanz A., Kemppainen E., Fukuoh A., et al. , 2012.  A cytoplasmic suppressor of a nuclear mutation affecting mitochondrial functions in Drosophila. Genetics 192: 483–493. 10.1534/genetics.112.143719 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Choi Y., Chan A. P., 2015.  PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels. Bioinformatics 31: 2745–2747. 10.1093/bioinformatics/btv195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Dobson S. L., Marsland E. J., Veneti Z., Bourtzis K., O’Neill S. L., 2002.  Characterization of Wolbachia host cell range via the in vitro establishment of infections. Appl. Environ. Microbiol. 68: 656–660. 10.1128/AEM.68.2.656-660.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Efremov R. G., Baradaran R., Sazanov L. A., 2010.  The architecture of respiratory complex I. Nature 465: 441–445. 10.1038/nature09066 [DOI] [PubMed] [Google Scholar]
  15. Fassone E., Rahman S., 2012.  Complex I deficiency: clinical features, biochemistry and molecular genetics. J. Med. Genet. 49: 578–590. 10.1136/jmedgenet-2012-101159 [DOI] [PubMed] [Google Scholar]
  16. Gnerer J. P., Kreber R. A., Ganetzky B., 2006.  Wasted away, a Drosophila mutation in triosephosphate isomerase, causes paralysis, neurodegeneration, and early death. Proc. Natl. Acad. Sci. USA 103: 14987–14993. 10.1073/pnas.0606887103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Guan M. X., Yan Q., Li X., Bykhovskaya Y., Gallo-Teran J., et al. , 2006.  Mutation in TRMU related to transfer RNA modification modulates the phenotypic expression of the deafness-associated mitochondrial 12S ribosomal RNA mutations. Am. J. Hum. Genet. 79: 291–302. 10.1086/506389 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Han S. K., Lee D., Lee H., Kim D., Son H. G., et al. , 2016.  OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research. Oncotarget 7: 56147–56152. 10.18632/oncotarget.11269 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Hegde V. R., Vogel R., Feany M. B., 2014.  Glia are critical for the neuropathology of complex I deficiency in Drosophila. Hum. Mol. Genet. 23: 4686–4692. 10.1093/hmg/ddu188 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hofmann S., Bezold R., Jaksch M., Obermaier-Kusser B., Mertens S., et al. , 1997.  Wolfram (DIDMOAD) syndrome and Leber hereditary optic neuropathy (LHON) are associated with distinct mitochondrial DNA haplotypes. Genomics 39: 8–18. 10.1006/geno.1996.4474 [DOI] [PubMed] [Google Scholar]
  21. Hoppins S., 2014.  The regulation of mitochondrial dynamics. Curr. Opin. Cell Biol. 29: 46–52 (erratum: Curr. Opin. Cell Biol. 29: 143). 10.1016/j.ceb.2014.03.005 [DOI] [PubMed] [Google Scholar]
  22. Hudson G., Carelli V., Spruijt L., Gerards M., Mowbray C., et al. , 2007.  Clinical expression of Leber hereditary optic neuropathy is affected by the mitochondrial DNA-haplogroup background. Am. J. Hum. Genet. 81: 228–233. 10.1086/519394 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Innocenti P., Morrow E. H., Dowling D. K., 2011.  Experimental evidence supports a sex-specific selective sieve in mitochondrial genome evolution. Science 332: 845–848. 10.1126/science.1201157 [DOI] [PubMed] [Google Scholar]
  24. Jiang P., Jin X., Peng Y., Wang M., Liu H., et al. , 2016.  The exome sequencing identified the mutation in YARS2 encoding the mitochondrial tyrosyl-tRNA synthetase as a nuclear modifier for the phenotypic manifestation of Leber’s hereditary optic neuropathy-associated mitochondrial DNA mutation. Hum. Mol. Genet. 25: 584–596. 10.1093/hmg/ddv498 [DOI] [PubMed] [Google Scholar]
  25. Johri A., Beal M. F., 2012.  Mitochondrial dysfunction in neurodegenerative diseases. J. Pharmacol. Exp. Ther. 342: 619–630. 10.1124/jpet.112.192138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kenney M. C., Chwa M., Atilano S. R., Falatoonzadeh P., Ramirez C., et al. , 2014.  Inherited mitochondrial DNA variants can affect complement, inflammation and apoptosis pathways: insights into mitochondrial-nuclear interactions. Hum. Mol. Genet. 23: 3537–3551. 10.1093/hmg/ddu065 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Koopman W. J., Visch H. J., Verkaart S., van den Heuvel L. W., Smeitink J. A., et al. , 2005.  Mitochondrial network complexity and pathological decrease in complex I activity are tightly correlated in isolated human complex I deficiency. Am. J. Physiol. Cell Physiol. 289: C881–C890. 10.1152/ajpcell.00104.2005 [DOI] [PubMed] [Google Scholar]
  28. Lake N. J., Bird M. J., Isohanni P., Paetau A., 2015.  Leigh syndrome: neuropathology and pathogenesis. J. Neuropathol. Exp. Neurol. 74: 482–492. 10.1097/NEN.0000000000000195 [DOI] [PubMed] [Google Scholar]
  29. Lake N. J., Compton A. G., Rahman S., Thorburn D. R., 2016.  Leigh syndrome: one disorder, more than 75 monogenic causes. Ann. Neurol. 79: 190–203. 10.1002/ana.24551 [DOI] [PubMed] [Google Scholar]
  30. Laslett D., Canbäck B., 2008.  ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences. Bioinformatics 24: 172–175. 10.1093/bioinformatics/btm573 [DOI] [PubMed] [Google Scholar]
  31. Lightowlers R. N., Taylor R. W., Turnbull D. M., 2015.  Mutations causing mitochondrial disease: what is new and what challenges remain? Science 349: 1494–1499. 10.1126/science.aac7516 [DOI] [PubMed] [Google Scholar]
  32. Liu W., Gnanasambandam R., Benjamin J., Kaur G., Getman P. B., et al. , 2007.  Mutations in cytochrome c oxidase subunit VIa cause neurodegeneration and motor dysfunction in Drosophila. Genetics 176: 937–946. 10.1534/genetics.107.071688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Long X., Griffith L. C., 2000.  Identification and characterization of a SUMO-1 conjugation system that modifies neuronal calcium/calmodulin-dependent protein kinase II in Drosophila melanogaster. J. Biol. Chem. 275: 40765–40776. 10.1074/jbc.M003949200 [DOI] [PubMed] [Google Scholar]
  34. Lynch M., 2007.  The Origins of Genome Architecture. Sinauer Associates, Inc., Sunderland, MA. [Google Scholar]
  35. Mao Z., Davis R. L., 2009.  Eight different types of dopaminergic neurons innervate the Drosophila mushroom body neuropil: anatomical and physiological heterogeneity. Front. Neural Circuits 3: 5 10.3389/neuro.04.005.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Marina A. D., Schara U., Pyle A., Möller-Hartmann C., Holinski-Feder E., et al. , 2013.  NDUFS8-related complex I deficiency extends phenotype from “PEO Plus” to leigh syndrome. JIMD Rep. 10: 17–22. 10.1007/8904_2012_195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Mast J. D., Tomalty K. M., Vogel H., Clandinin T. R., 2008.  Reactive oxygen species act remotely to cause synapse loss in a Drosophila model of developmental mitochondrial encephalopathy. Development 135: 2669–2679. 10.1242/dev.020644 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Meiklejohn C. D., Holmbeck M. A., Siddiq M. A., Abt D. N., Rand D. M., et al. , 2013.  An Incompatibility between a mitochondrial tRNA and its nuclear-encoded tRNA synthetase compromises development and fitness in Drosophila. PLoS Genet. 9: e1003238 10.1371/journal.pgen.1003238 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Miller D., Hannon C., Ganetzky B., 2012.  A mutation in Drosophila aldolase causes temperature-sensitive paralysis, shortened lifespan, and neurodegeneration. J. Neurogenet. 26: 317–327. 10.3109/01677063.2012.706346 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Palladino M. J., Hadley T. J., Ganetzky B., 2002.  Temperature-sensitive paralytic mutants are enriched for those causing neurodegeneration in Drosophila. Genetics 161: 1197–1208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Palladino M. J., Bower J. E., Kreber R., Ganetzky B., 2003.  Neural dysfunction and neurodegeneration in Drosophila Na+/K+ ATPase alpha subunit mutants. J. Neurosci. 23: 1276–1286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Pamilo P., Viljakainen L., Vihavainen A., 2007.  Exceptionally high density of NUMTs in the honeybee genome. Mol. Biol. Evol. 24: 1340–1346. 10.1093/molbev/msm055 [DOI] [PubMed] [Google Scholar]
  43. Park J., Lee S. B., Lee S., Kim Y., Song S., et al. , 2006.  Mitochondrial dysfunction in Drosophila PINK1 mutants is complemented by parkin. Nature 441: 1157–1161. 10.1038/nature04788 [DOI] [PubMed] [Google Scholar]
  44. Partridge L., Gems D., 2007.  Benchmarks for ageing studies. Nature 450: 165–167. 10.1038/450165a [DOI] [PubMed] [Google Scholar]
  45. Pham N. A., Richardson T., Cameron J., Chue B., Robinson B. H., 2004.  Altered mitochondrial structure and motion dynamics in living cells with energy metabolism defects revealed by real time microscope imaging. Microsc. Microanal. 10: 247–260. 10.1017/S143192760404005X [DOI] [PubMed] [Google Scholar]
  46. Potluri P., Davila A., Ruiz-Pesini E., Mishmar D., O’Hearn S., et al. , 2009.  A novel NDUFA1 mutation leads to a progressive mitochondrial complex I-specific neurodegenerative disease. Mol. Genet. Metab. 96: 189–195. 10.1016/j.ymgme.2008.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Richly E., Leister D., 2004.  NUMTs in sequenced eukaryotic genomes. Mol. Biol. Evol. 21: 1081–1084. 10.1093/molbev/msh110 [DOI] [PubMed] [Google Scholar]
  48. Rogers H. H., Griffiths-Jones S., 2012.  Mitochondrial pseudogenes in the nuclear genomes of Drosophila. PLoS One 7: e32593 10.1371/journal.pone.0032593 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Rooney J. P., Ryde I. T., Sanders L. H., Howlett E. H., Colton M. D., et al. , 2015.  PCR based determination of mitochondrial DNA copy number in multiple species. Methods Mol. Biol. 1241: 23–38. 10.1007/978-1-4939-1875-1_3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Sazanov L. A., Hinchliffe P., 2006.  Structure of the hydrophilic domain of respiratory complex I from Thermus thermophilus. Science 311: 1430–1436. 10.1126/science.1123809 [DOI] [PubMed] [Google Scholar]
  51. Schneider C. A., Rasband W. S., Eliceiri K. W., 2012.  NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9: 671–675. 10.1038/nmeth.2089 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Smeitink J., van den Heuvel L., DiMauro S., 2001.  The genetics and pathology of oxidative phosphorylation. Nat. Rev. Genet. 2: 342–352. 10.1038/35072063 [DOI] [PubMed] [Google Scholar]
  53. Strauss K. A., DuBiner L., Simon M., Zaragoza M., Sengupta P. P., et al. , 2013.  Severity of cardiomyopathy associated with adenine nucleotide translocator-1 deficiency correlates with mtDNA haplogroup. Proc. Natl. Acad. Sci. USA 110: 3453–3458. 10.1073/pnas.1300690110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Suissa S., Wang Z., Poole J., Wittkopp S., Feder J., et al. , 2009.  Ancient mtDNA genetic variants modulate mtDNA transcription and replication. PLoS Genet. 5: e1000474 10.1371/journal.pgen.1000474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Volkenhoff A., Weiler A., Letzel M., Stehling M., Klämbt C., et al. , 2015.  Glial glycolysis is essential for neuronal survival in Drosophila. Cell Metab. 22: 437–447. 10.1016/j.cmet.2015.07.006 [DOI] [PubMed] [Google Scholar]
  56. Wallace D. C., 2015.  Mitochondrial DNA variation in human radiation and disease. Cell 163: 33–38. 10.1016/j.cell.2015.08.067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Wallace D. C., Chalkia D., 2013.  Mitochondrial DNA genetics and the heteroplasmy conundrum in evolution and disease. Cold Spring Harb. Perspect. Biol. 5: a021220 10.1101/cshperspect.a021220 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Wallace D. C., Brown M. D., Lott M. T., 1999.  Mitochondrial DNA variation in human evolution and disease. Gene 238: 211–230. 10.1016/S0378-1119(99)00295-4 [DOI] [PubMed] [Google Scholar]
  59. Warrick J. M., Chan H. Y., Gray-Board G. L., Chai Y., Paulson H. L., et al. , 1999.  Suppression of polyglutamine-mediated neurodegeneration in Drosophila by the molecular chaperone HSP70. Nat. Genet. 23: 425–428. 10.1038/70532 [DOI] [PubMed] [Google Scholar]
  60. Wilkins H. M., Carl S. M., Swerdlow R. H., 2014.  Cytoplasmic hybrid (cybrid) cell lines as a practical model for mitochondriopathies. Redox Biol. 2: 619–631. 10.1016/j.redox.2014.03.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Wolff J. N., Ladoukakis E. D., Enríquez J. A., Dowling D. K., 2014.  Mitonuclear interactions: evolutionary consequences over multiple biological scales. Philos. Trans. R. Soc. Lond. B Biol. Sci. 369: 20130443 10.1098/rstb.2013.0443 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Wolff J. N., Camus M. F., Clancy D. J., Dowling D. K., 2016a.  Complete mitochondrial genome sequences of thirteen globally sourced strains of fruit fly (Drosophila melanogaster) form a powerful model for mitochondrial research. Mitochondrial DNA A DNA Mapp. Seq. Anal. 27: 4672–4674. [DOI] [PubMed] [Google Scholar]
  63. Wolff J. N., Pichaud N., Camus M. F., Côté G., Blier P. U., et al. , 2016b.  Evolutionary implications of mitochondrial genetic variation: mitochondrial genetic effects on OXPHOS respiration and mitochondrial quantity change with age and sex in fruit flies. J. Evol. Biol. 29: 736–747. 10.1111/jeb.12822 [DOI] [PubMed] [Google Scholar]
  64. Wu Z., Sawada T., Shiba K., Liu S., Kanao T., et al. , 2013.  Tricornered/NDR kinase signaling mediates PINK1-directed mitochondrial quality control and tissue maintenance. Genes Dev. 27: 157–162. 10.1101/gad.203406.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Xu H., DeLuca S. Z., O’Farrell P. H., 2008.  Manipulating the metazoan mitochondrial genome with targeted restriction enzymes. Science 321: 575–577. 10.1126/science.1160226 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Strains and reagents are available upon request. File S1 contains detailed descriptions of all supplemental files. File S2 contains a movie showing the bang-sensitivity of ND23 mutants and controls (https://doi.org/10.6084/m9.figshare.5930281.v1). Table S1 lists mtDNA variants discovered. mtDNA sequences are deposited in GenBank as accession numbers KX889415.2, KX889416.2, and KX889417.2. Table S2 lists primers used in these studies.


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