Summary
A mutant mitochondrial genome arising amid the pool of mitochondrial genomes within a cell must compete with existing genomes to survive to the next generation. Even weak selective forces can bias transmission of one genome over another to affect the inheritance of mitochondrial diseases and guide the evolution of mitochondrial DNA (mtDNA). Studies in several systems suggested that purifying selection in the female germline reduces transmission of detrimental mitochondrial mutations [1, 2, 3, 4, 5, 6, 7]. In contrast, some selfish genomes can take over despite a cost to host fitness [8, 9, 10, 11, 12, 13]. Within individuals, the outcome of competition is therefore influenced by multiple selective forces. The nuclear genome, which encodes most proteins within mitochondria, and all external regulators of mitochondrial biogenesis and dynamics can influence the competition between mitochondrial genomes [14, 15, 16, 17, 18], yet little is known about how this works. Previously, we established a Drosophila line transmitting two mitochondrial genomes in a stable ratio enforced by purifying selection benefiting one genome and a selfish advantage favoring the other [8]. Here, to find nuclear genes that impact mtDNA competition, we screened heterozygous deletions tiling ∼70% of the euchromatic regions and examined their influence on this ratio. This genome-wide screen detected many nuclear modifiers of this ratio and identified one as the catalytic subunit of mtDNA polymerase gene (POLG), tam. A reduced dose of tam drove elimination of defective mitochondrial genomes. This study suggests that our approach will uncover targets for interventions that would block propagation of pathogenic mitochondrial mutations.
Keywords: mito-nuclear interaction, mitochondrial DNA heteroplasmy, mtDNA polymerase gamma, mtDNA competition, mtDNA transmission and inheritance
Graphical Abstract
Highlights
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Multiple nuclear factors affect selective transmission of mitochondrial genomes
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Reducing mtDNA polymerase restricts the transmission of detrimental mtDNA mutants
Mitochondrial genomes within an organism compete for transmission. Chiang et al. reveal that multiple nuclear genes can affect this competition. In particular, reducing the nuclear-encoded mtDNA polymerase limits the transmission of detrimental mtDNA mutants. Thus, the nuclear genome can affect mitochondrial disease progression and mtDNA evolution.
Results and Discussion
Drosophila melanogaster tolerates heterozygous deletions well, and collections of chromosomal deletions (i.e., deficiencies) tiling 98% of the euchromatic genome have been developed for genetic screening purposes [19, 20]. To uncover nuclear regions that regulate mitochondrial DNA (mtDNA) competition, we performed a deficiency screen on a heteroplasmic line that stably transmits two genomes: a functional mtDNA from Drosophila yakuba (mt:yak) and a temperature-sensitive lethal genome harboring two mutations, mt:ND2del1+CoIT300I from D. melanogaster (Figure 1A) [8]. Previously, we showed that the D. melanogaster genome has a selfish transmission advantage, whereas mt:yak is favored by purifying selection because it provides the functional mt:CoI. The two opposing selections are balanced so that the heteroplasmic ratio (∼5% mt:yak to ∼95% mt:ND2del1+CoIT300I) was stable for over 70 generations at the restrictive temperature (29°C) of the mt:ND2del1+CoIT300I genome (Figure 1A). We reasoned that a balance of two selective forces would be very sensitive to perturbation. Perhaps just a change in the gene dose of nuclear genes modulating competition would alter the heteroplasmic ratio.
For the screen, 339 deletion chromosomes covering most of chromosomes II and III were introduced into the heteroplasmic flies (Table S1). Sixty-three crosses produced no or few progeny carrying the deletion (Table S1). Although it is likely that the lethality for some of the crosses was due to an inability to maintain the functional mt:yak genome, here we focus only on the 276 lines that produced progeny; in these, we measured the mt:yak percentage in adult males one generation after the deletion was introduced (i.e., generation 2; Figure 1B). Five lines had a substantially higher percentage of mt:yak (≥ 10%), whereas 33 lines had a lower percentage (≤ 2%) (Tables S2 and S3). More than 10% of the tested lines changed the mt:yak percentage, leading us to conclude that multiple nuclear factors directly or indirectly regulate competition between mitochondrial genomes.
Of the 38 deficiencies that altered the mt:yak percentage, the two (BSC252 and BSC812) causing the largest increase (from ∼5% to ∼28%) partially overlap (Table S3; Figures 1C and 1D). This suggests that a locus lying in the 60 kb region of the 2nd chromosome removed by both deletions is responsible for the observed phenotype (Figure 1D). Consistent with a common defect, both deletions caused a progressive and parallel rise in mt:yak over multiple generations until it reached 100% at generation 5 (Figure 1C). To produce this progressive heritable rise, these deletions must give mt:yak a selective advantage in the germline allowing accumulation in each generation. To confirm and further narrow down the responsible region, we tested two more deletions: Exel7059 (lacking the entire 60 kb region) and FDD-0428643 (only lacking the left 15 kb segment of the 60 kb region). Both gave the same increase in the mt:yak percentage (Figure S1A). This confined our candidates to eight genes, including four with known mitochondrial functions: mtDNA polymerase catalytic subunit polymerase gene POLG (tam), mtDNA polymerase accessory subunit POLG2 (pol γ-β), glutamyl tRNA-aminotransferase GatC, and mitochondrial ribosomal protein mRpS23 (Figure S1B).
To investigate whether pol γ-β and its neighboring and co-transcribed gene GatC play a role in regulating mtDNA transmission, we generated loss-of-function mutants via CRISPR/Cas9-based editing (Figure S2). Heterozygous mutants of pol γ-β and GatC did not alter mt:yak percentages, suggesting neither was responsible for the changes in the heteroplasmic ratio (Figure 2A). We then tested three tam mutants: two classical mutations, tam3 and tam4, which contain small deletions that shift the reading frame [21], and tamKO, which removes the entire coding region including the UTRs [22]. Heterozygosity for each of these tam mutations increased the mt:yak percentage just as observed with the four deficiencies (Figure 2B). By generation 5, mt:yak took over. To test the reversibility of the effect, we restored a wild-type tam genotype in some flies having a residual ∼20% of mt:ND2del1+CoIT300I at generation 4 and followed over subsequent generations (Figure 2B). In these flies, selection reversed its course and the mt:yak percentage declined. After four generations, mt:yak levels re-balanced at ∼5%. Of note, in accord with the gene dose, the mRNA level of tam is halved in the deletion lines (Figure S3A). Despite the dramatic shifts in the relative abundance of the two genomes, only minor fluctuations in total mtDNA copy number were detected in the newly laid eggs and adult flies (Figure S3B; also shown in [22]). We conclude that removing one functional genomic copy of tam but not pol γ-β or GatC increased the mt:yak percentage in the given nuclear background.
We were somewhat surprised that the dose of the gene encoding the catalytic subunit of POLG modified competition whereas the dose of the essential accessory subunit did not. To pursue this further, we tested other genes involved in mtDNA replication (twk, mtSSB, TFAM, and Top3α) and did not detect modification of the heteroplasmic ratio in a manner dependent on the dose of these genes (Figure S3C). Thus, at least in the context of our screen, the input of tam appears to be relatively specific among replication functions.
To test whether the influence of tam dose on mtDNA competition extended beyond the specific mtDNA pair used in the screen, we examined a different pairing of mitochondrial genomes. We previously showed that when the mt:ND2del1+CoIT300I genome is paired with a distantly related D. melanogaster mitochondrial genome, mt:ATP6[1], the temperature-sensitive mutant genome exhibits such a powerful selfish advantage that it overrides the constraint of purifying selection; the mutant genome replaced the complementing mt:ATP6[1] over a few generations, leading to the death of the entire lineage at 29°C [23]. We re-established two independent lineages of this unstable heteroplasmy, and mt:ND2del1+CoIT300I percentages rose rapidly as expected (Figure 2C). Before the demise of the stock, we removed one copy of functional tam by introducing chromosomes bearing the tam3 or tam4 mutation in flies at generation 4, which still had ∼10% mt:ATP6[1]. Instead of observing a continued decline of mt:ATP6[1] as in control flies, mt:ATP6[1] percentages increased over successive generations in the two lines with introduced tam mutations (Figure 2C). After five generations, mt:ATP6[1] reached 100%. We conclude that reducing the gene dose of tam can increase the transmission of a distinct functional mitochondrial genome.
In the two tested heteroplasmic lines, mtDNA competition is influenced by both purifying and selfish selection, so the effect of tam dose could be due to enhancement of purifying selection to benefit the functional genome (mt:yak or mt:ATP6[1]) or diminution of the selfish transmission advantage of mt:ND2del1+CoIT300I, or both. To address this, we transferred the mt:yak/mt:ND2del1+CoIT300I lines to a lower temperature (22°C), where purifying selection against the mt:ND2del1+CoIT300I is greatly diminished because of improved function of the mutant [5]. At this temperature, selfish selection dominates the competition, and mt:yak percentage declined and became undetectable in two generations in control fly groups (Figure 3A; also described in [8]). When tam was heterozygous, mt:yak declined just as it did in control flies (Figure 3A). Thus, at least in this experimental context, the dose of tam has little or no effect when selfish selection has the dominant influence. Either tam dose does not act on selfish selection or tam dose is unable to act on selfish selection at this temperature.
Next, we examined the effect of tam dose in a heteroplasmic combination where only purifying selection affects mtDNA competition. We previously showed that when the mt:ND2del1 genome was paired with the mt:CoIT300I genome, mt:ND2del1 steadily outcompetes mt:CoIT300I because of a difference in the oxidative phosphorylation (OXPHOS) function at 29°C [5]. These two genomes share the same non-coding region, and differ only by mutations in mt:ND2 and mt:CoI, so there is no selfish selection involved. We found that in flies where tam dose was reduced, the decline of mt:CoIT300I was accelerated (Figure 3B), suggesting that reducing tam enhances purifying selection. To further test whether tam dose acts only on mt:CoIT300I or is only manifested at 29°C, we generated another heteroplasmic line where the mt:ND2del1 mutant was paired with the wild-type mtDNA and followed the heteroplasmy dynamics at 25°C. The mt:ND2del1 allele is slightly compromised for OXPHOS function and is slowly displaced by the wild type because of a weak purifying selection [5] (Figure 3C). In lines with only one functional genomic copy of tam, the wild-type mtDNA took over faster (Figure 3C). Thus, reducing tam acts to enhance two distinct examples of purifying selection.
For all the experiments described above, genetic crosses were designed to minimize nuclear background differences and all tested deletions and mutations were heterozygous with a balancer chromosome (CyO for all presented data and TM6B for the 3rd chromosome deficiencies; see Figure 1B and STAR Methods). However, this left open the possibility that the dose effect on heteroplasmy dynamics we observed for tam is specific for the given nuclear background. To test whether this is the case, we altered the crossing scheme and examined the consequence of tam heterozygosity with different second chromosomes. We found that, when chromosomes unrelated to the CyO balancer were used, the dose of tam had only negligible effect on the mt:yak percentage (Figure 4A). This suggests that the CyO chromosome carries one or more polymorphisms that synergize with the tam dose to create the observed phenotype. We hypothesized that the CyO balancer provided less tam function than other chromosomes (hypomorphic for tam). Such behavior might be attributed to either direct changes in the tam sequence or other modifying mutations that reduce the functional output of Tam. We tested various balancer chromosomes with related origins but different polymorphisms in the tam sequence. Although heterozygosity for tam gave a phenotype with all of these balancers, the strength of the phenotype varied. This variation combined with sequences of tam from these balancers (Figure S4A) and a test of tam expression from CyO (Figure S4B) suggests that the modification is complex and might either be caused by diverse polymorphisms associated with tam on the balancer or unrelated modifiers.
To avoid the complicated genetic interactions with the CyO balancer, we tested whether a more substantial change in tam alone is sufficient to modulate mtDNA competition. We used CRISPR/Cas9-based mutagenesis to isolate mutations missing a single amino acid in the highly conserved exonuclease domain of tam (tamΔ262Y and tamΔ263D) (Figure S2). These alleles are homozygous viable, and also transheterozygous viable with tam3, tam4, and tamKO. We found that after introducing two copies of tamΔ262Y or tamΔ263D in the mt:yak/mt:ND2del1+CoIT300I line, the mt:yak percentage increased to over 75% at generation 2. Similarly, the mt:yak percentage in transheterozygous tam−/tamΔ262Y or tam−/tamΔ263D increased to over 70% at generation 2 (Figures 4B and S4C). These data suggest that compromising tam function alone is sufficient to modify the competition between mitochondrial genomes, but Tam function probably needs to be reduced to less than 50%. Additionally, we analyzed the consequence of an increase in tam dose by following flies with two extra copies of tam (BacTam). Over a few generations at 29°C, the percentage of mt:yak fell from 6% to 2% in the BacTam background (Figure 4C). All the above data suggest that altering tam functional output alone is sufficient to influence the transmission of detrimental mitochondrial genomes.
Our findings show that the balance that maintains a stable heteroplasmic state is precarious and modified by many genetic loci and that the shift in function of one of these, tam, can drive the elimination of a detrimental mitochondrial mutation that was otherwise stably inherited for many generations. The discovery that the gene involved encodes the mtDNA polymerase suggests a connection with replication of the genomes, but the genetic analysis reported here does not directly reveal the mechanism. It is tempting to speculate that reducing Tam activity might favor the replication of the diverged mt:yak genome, but no such favoritism was observed when the temperature was reduced to minimize the functional difference between mt:yak and the mt:ND2del1+CoIT300I genome. Furthermore, at 25°C, the lower dose of tam still favored the functional genome when two D. melanogaster mitochondrial genomes were pitted against each other (Figure 3C). This suggests that the differential effect of tam dose impacts the effectiveness of purifying selection. Although speculative, such an effect might be explained by the involvement of Tam in a newly advanced quality control mechanism. Recently, Zhang et al. showed that PINK1, a kinase sensitive to mitochondrial potential, is selectively stabilized on the surface of mitochondria enriched for mutant genomes [24]. They further showed that PINK1 phosphorylates Larp to inhibit local translation of nuclear-encoded mitochondrial proteins on the surface of the unfit mitochondria. Tam was one of the factors whose expression was dramatically reduced by this signaling pathway. They proposed that reduced translation starves unfit mitochondria of nuclear-encoded replication factors. Accordingly, Tam could be a key factor limiting replication in unfit mitochondria when it falls below a certain threshold. A reduction in the dose could promote the action of this system by making it easier to reach the threshold that starves the unfit mitochondria of this limiting factor. However, cell biological and disease phenotypes of POLG mutations are diverse, suggesting the existence of alternative possible explanations for how dose change can impact the balance of heteroplasmic genomes [25, 26, 27, 28].
Regardless of the mechanism, our genetic findings reveal numerous nuclear loci that affect the competition between mitochondrial genomes, suggesting that multiple pathways influence the selective forces defining the outcome of competition. Perhaps reflecting complex inputs, the magnitude of the impact of tam gene dose differs strikingly in different genetic backgrounds. In the two examples where diverged mitochondrial genomes are differently favored by selfish and purifying selection, reduction of tam dose completely reverses the outcome of the competition such that the winner becomes the loser and is eliminated (Figures 2B and 2C). This outcome seems out of proportion with subtler shifts in the strength of purifying selection assessed in other heteroplasmic backgrounds (Figures 3B and 3C). Perhaps as-yet unappreciated differences in the interaction of Tam with the much altered regulatory regions of these competing genomes increase the sensitivity to tam dose in these competitions.
In conclusion, the genetic approach we have used here has the potential of defining in some detail the largely unknown rules of nuclear management of mtDNA transmission (e.g., [14, 15, 16, 17, 18]). The pervasive impact of a change in the level of mtDNA polymerase catalytic subunit shows the potency of the nuclear influence on the success of mitochondrial genomes, a factor that would affect the heritance of heteroplasmic mitochondrial disease traits. The large number of loci that influence selection suggests that nuclear management of mitochondrial evolution is deeply entrenched. We propose that it has played a role throughout eukaryotic evolution in taming and subjugating the genome of an infecting microbe to adopt its current role. Because many mitochondrial diseases are carried in heteroplasmy, the extensive nuclear inputs might identify pharmacologically accessible pathways whose manipulation could provide clinical benefit.
STAR★Methods
Key Resources Table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Experimental Models: Organisms/Strains | ||
D. melanogaster: Bloomington Deficiency Kit | Bloomington Drosophila Stock Center | https://bdsc.indiana.edu/stocks/df/dfkit.html |
D. melanogaster: twk mutants (twk1 and twk2), GatC mutants (GatC1 and GatC2), tam mutants (tamΔ262Y and tamΔ263D), pol γ-β mutants (pol γ-β1 and pol γ-β2), see Figure S2 | This paper | N/A |
D. melanogaster: tamKO | [22] | N/A |
D. melanogaster: BacTam | Hong Xu (NIH) | N/A |
D. melanogaster: tam3 | Bloomington Drosophila Stock Center | BDSC:3410 |
D. melanogaster: tam4 | Bloomington Drosophila Stock Center | BDSC:25145 |
D. melanogaster: Df(2L)Exel7059, | Bloomington Drosophila Stock Center | BDSC:7826 |
D. melanogaster: Df(2L)FDD-0428643 | Bloomington Drosophila Stock Center | BDSC:25166 |
D. melanogaster: Df(2L)Exel7043 | Bloomington Drosophila Stock Center | BDSC:7816 |
D. melanogaster: nos-Cas9 | Bloomington Drosophila Stock Center | BDSC:54591 |
Oligonucleotides | ||
Primers for qPCR, see Table S4 | This paper | N/A |
Primers for RT-qPCR, see Table S4 | This paper | N/A |
Recombinant DNA | ||
pCDF5+guide RNA for CRISPR/Cas9-based editing for the following genes (twk, GatC, tam and pol γ-β) | This paper | N/A |
Software and Algorithms | ||
Guide RNA design for the following genes (twk, GatC, tam and pol γ-β) | FLYCRISPR | https://flycrispr.org/ |
Other | ||
Sequence data of tam ROF of a number of 2nd chromosomes (D. melanogaster), See Figure S4A | This paper | N/A |
Lead Contact and Materials Availability
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Hansong Ma (hm555@cam.ac.uk). There are no restrictions to the availability of reagents.
Experimental Model and Subject Details
The following flies were used in this study: Bloomington Deficiency Kits (Table S1), additional deficiency lines that cover the entire tam gene (Df(2L)Exel7059 and Df(2L)FDD-0428643) or twk gene (Df(2L)Exel7043) (BDSC:7826, BDSC:21566 and BDSC:7816, respectively), tam3 and tam4 (BDSC:3410 and BDSC:25145), tamKO (generated in [22]), BacTam (a gift from Hong Xu, National Heart, Lung and Blood Institute), nos-Cas9 (BDSC:54591) and four lines carrying the SM6a balancer chromosome. All fly stocks were raised on standard media at 25°C unless otherwise stated.
Various heteroplasmic lines were generated via cytoplasmic transplantation as described in [5]. The stable mt:yak/mt:ND2del1+CoIT300I was previously created by introducing cytoplasm of D. yakuba into the mt:ND2del1+mt:CoIT300I embryos [8]. After the stable heteroplasmy was established, flies were balanced on the 2nd or 3rd chromosome by crossing to KrIf/CyO or MKRS/TM6B males, respectively. Once balanced, the flies were continuously backcrossed to KrIf/CyO or MKRS/TM6B males to maintain an isogenic nuclear background. To create mt:ATP6[1]/mt:ND2del1+CoIT300I line, cytoplasm of mt:ND2del1+CoIT300I was injected into mt:ATP6[1] embryos in order to create founder flies with a high percentage of mt:ATP6[1]. To generate mt:ND2del1/mt:CoIT300I, cytoplasm of mt:ND2del1 embryos was transferred to mt:CoIT300I embryos to create heteroplasmic flies with a high percentage of mt:CoIT300I. To generate wild-type/mt:ND2del1, cytoplasm of wild-type embryos was transferred to mt:ND2del1 embryos to create heteroplasmic flies with a high percentage of mt:ND2del1. All the heteroplasmic lines were maintained and examined at 29°C, except the wild-type/mt:ND2del1 flies, which were maintained at 25°C instead.
Method Details
The deficiency screen cross scheme
The screen was carried out at 29°C as shown in Figure 1B. Basically, for each deficiency, 5 males carrying the deletion chromosome were mated with 10 heteroplasmic females (generation 0) balanced with either KrIf/CyO (for 2nd chromosome deficiencies) or MKRS/TM6B (for 3rd chromosome deficiencies). After one generation, more than 10 female progeny (generation 1) with an individual deletion chromosome balanced by CyO or TM6B were mated with 10 KrIf/CyO or MKRS/TM6B males to maintain the deficiency and minimize variations in the nuclear background. Total DNA from 10 to 40 young male progeny (generation 2) that carry the deletion chromosome (balanced by CyO or TM6B) was extracted for qPCR analysis. Heterozygous mutants of tam, pol γ-β, GatC, and twk were tested with the same experimental setup for every generation. For controls, KrIf/CyO males were used instead of deficiency males for the first cross.
CRISPR/Cas9-based mutagenesis
CRISPR/Cas9-based mutagenesis was performed as described on FlyCRISRP (https://flycrispr.org/). In brief, two gRNAs were designed for each of the following genes: pol γ-β (gaaaaacgctggatgttgac, gctttgatgtttcagaagag), GatC (gcagctaacgcatcccacca, gatctggatttcggaggcgc), twk (tgctggcttacgtaaacaag, atatctgggcgatcgacggg), or tam (gtcacaatgtctcctacgac, ctacgacagggcgcgactga) using FlyCRISPR target finder (http://tools.flycrispr.molbio.wisc.edu/targetFinder/). Complimentary oligos were synthesized by Integrated DNA Technologies and were cloned into a pCFD5 plasmid. Plasmids were amplified and purified, and then injected into nos-Cas9 flies (BDSC:54591) at a concentration of 200 ng/μl. Adults were then balanced by crossing to KrIf/CyO twice to establish individual stocks. The mutated sequences were verified by Sanger sequencing.
DNA extraction and quantitative PCR
Total DNA extraction was performed as described in [5]. In brief, 10 to 40 adult males were squashed in 500 μL of homogenization buffer (100 mM Tris-HCl (pH 8.8), 10 mM EDTA, 1% SDS) and incubated at 70°C for 30 min. Potassium acetate was added to a final concentration of 1 M, and samples were incubated on ice for 30 min. Samples were centrifuged at 20,000 g for 10 min at room temperature. DNA was recovered from the supernatant by adding 0.5x volume of isopropanol followed by washing with 70% ethanol. DNA was then dissolved in 100 μL Tris (10 mM, pH 8.0) before further dilution.
For all qPCR reactions, 2X SensiFast SYBR Green PCR Master Mix (Bioline 98020) was used in 20 μL reactions with 500 nM of each primer. For each reaction, 5% of a male’s total genomic DNA was used as the template to allow the Ct values to land between cycles 10-25. Each qPCR cycle was incubated at 95°C for 10 min followed by 35 cycles of 95°C for 30 s and 48°C for 30 s. Standard curves were plotted using a series of tenfold dilutions (2 × 107 to 2 × 103 copies per qPCR reaction) of the linearized PCR products containing regions covered by both the common and specific primer sets. The efficiency of each primer set was normalized by comparison to homoplasmic mtDNA that contain both the common and specific region. The absolute copy number of targeted regions was calculated according to the Ct value and the standard curve for one of the co-resident mtDNA genotypes (e.g., mt:yak, recognized by the specific primer set) and total mtDNA (recognized by the common primer set). All the primers are listed in Table S4.
Total RNA extraction and reverse transcription
Total RNA from 2-day old males was extracted based on the TRIzol reagent (Invitrogen) protocol. Ten males were ground with 750 μL of TRIzol reagent and incubated at room temperature for 10 min. Phenol was removed from samples by multiple rounds of chloroform extraction. RNA from the supernatant was precipitated by adding 0.5x isopropanol and washed once with 70% ethanol. The extracted RNA was then treated with RNase-free DNase I (New England Biolabs) for 30 min at 37°C to remove genomic DNA. Subsequently, DNase activity was heat-inactivated for 10 min at 65°C upon adding 1 μL of 50 mM EDTA. The RNA was then reverse-transcribed with Oligo (dT)18 primer using RevertAid First-strand cDNA synthesis kit (Invitrogen). The relative expression level of tam and pol γ-β was measured by qPCR and normalized to the expression level of house-keeping gene Act42A or EF1α. For each qPCR reaction, 2X SensiFast SYBR Green PCR Master mix (Bioline) was used in 20 μL reactions with 500 nM of each primer. The qPCR cycle was set as 95°C for 10 min followed by 35 cycles of 95°C for 30 s and elongation for 30 s. All the primers are listed in Table S4.
Embryo mtDNA extraction and copy number measurement
For each genotype, over 50 newly laid eggs (collected within 20 min after egg laying) were lysed in 100 μL of QuickExtract buffer (Lucigen, Thermo Fisher Scientific) in Precellys homogenizer. In brief, samples were agitated 3 times at 4,000 rpm for 30 s with a 30 s pause at room temperature. The homogenized samples were then incubated for 15 min at 65°C followed by 5 min at 95°C. The total mtDNA copy number was then measured by qPCR using the common primer set that binds to a conserved mtDNA region of mt:yak and mt:ND2del1+CoIT300I (Table S4).
Quantification and Statistical Analysis
As specified in all figure legends, the percentage of a given mitochondrial genotype in a heteroplasmic line (Figures 1C, 2A, 3, 4A, 4B, and S3C) was measured in at least three independent biological replicates. Each replicate contained 10-40 young adult males. Similarly, the total mtDNA copy number (Figure S3B) and the mRNA level of tam and pol γ-β genes (Figures S3A and S4B) were measured in three independent biological replicates. For mtDNA copy number quantifications, 50 newly laid eggs or ten 2-day old adult males were used for each replicate. For mRNA level quantifications, each replicate included ten 2-day old adult males. Figures are all presented as mean ± SD. All the statistical analyses were performed using GraphPad Prism 7.0. Differences were examined by unpaired Student’s t test. Significance was defined by ∗p < 0.05, ∗∗p < 0.005, and ∗∗∗p < 0.0005.
Data and Code Availability
This study did not generate datasets and codes.
Acknowledgments
We would like to thank Dr. Hong Xu (National Heart, Lung, and Blood Institute) for generously sharing the BacTam flies and Prof. Nils-Goran Larsson (Karolinska Institutet) for sharing the tamKO mutant. This work is funded by NIH grant GM120005 to P.H.O. and Wellcome Trust grant 202269/Z/16/Z to H.M.
Author Contributions
Conceptualization, A.C.-Y.C., H.M., and P.H.O.; Investigation, A.C.-Y.C., E.M., and H.M.; Methodology, A.C.-Y.C. and H.M.; Writing – Original Draft, P.H.O. and H.M.; Writing – Review & Editing, P.H.O. and H.M.; Funding Acquisition, P.H.O. and H.M.; Supervision, P.H.O. and H.M.
Declaration of Interests
The authors declare no competing interests.
Published: November 27, 2019
Footnotes
Supplemental Information can be found online at https://doi.org/10.1016/j.cub.2019.10.060.
Contributor Information
Patrick H. O'Farrell, Email: ofarrell@cgl.ucsf.edu.
Hansong Ma, Email: hm555@cam.ac.uk.
Supplemental Information
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
This study did not generate datasets and codes.