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. 2023 Oct 2;12:e79725. doi: 10.7554/eLife.79725

Regulation of defective mitochondrial DNA accumulation and transmission in C. elegans by the programmed cell death and aging pathways

Sagen Flowers 1, Rushali Kothari 1, Yamila N Torres Cleuren 1,2, Melissa R Alcorn 1, Chee Kiang Ewe 1, Geneva Alok 1, Samantha L Fiallo 1, Pradeep M Joshi 1,, Joel H Rothman 1,
Editors: Jan Gruber3, Benoît Kornmann4
PMCID: PMC10545429  PMID: 37782016

Abstract

The heteroplasmic state of eukaryotic cells allows for cryptic accumulation of defective mitochondrial genomes (mtDNA). ‘Purifying selection’ mechanisms operate to remove such dysfunctional mtDNAs. We found that activators of programmed cell death (PCD), including the CED-3 and CSP-1 caspases, the BH3-only protein CED-13, and PCD corpse engulfment factors, are required in C. elegans to attenuate germline abundance of a 3.1-kb mtDNA deletion mutation, uaDf5, which is normally stably maintained in heteroplasmy with wildtype mtDNA. In contrast, removal of CED-4/Apaf1 or a mutation in the CED-4-interacting prodomain of CED-3, do not increase accumulation of the defective mtDNA, suggesting induction of a non-canonical germline PCD mechanism or non-apoptotic action of the CED-13/caspase axis. We also found that the abundance of germline mtDNAuaDf5 reproducibly increases with age of the mothers. This effect is transmitted to the offspring of mothers, with only partial intergenerational removal of the defective mtDNA. In mutants with elevated mtDNAuaDf5 levels, this removal is enhanced in older mothers, suggesting an age-dependent mechanism of mtDNA quality control. Indeed, we found that both steady-state and age-dependent accumulation rates of uaDf5 are markedly decreased in long-lived, and increased in short-lived, mutants. These findings reveal that regulators of both PCD and the aging program are required for germline mtDNA quality control and its intergenerational transmission.

Research organism: C. elegans

Introduction

Mitochondrial diseases are a group of conditions that affect mitochondrial functions in up to 1 in 4300 people (Ng and Turnbull, 2016; Chinnery, 2015; Gorman et al., 2015). Generally, these diseases present as dysfunction in the tissues or organs with the most intensive energy demands, most commonly in muscle and the nervous system (Ghaoui and Sue, 2018). Many of these diseases are attributable to mutations in the mitochondrial DNA (mtDNA) or nuclear DNA (nDNA), and include those disorders with defects in mitochondrial function, dynamics, or quality control, or in which there is miscommunication between the mitochondria and the endoplasmic reticulum (Gorman et al., 2015; Area-Gomez and Schon, 2014). The progressive advancement of the diseased state resulting from age-dependent accumulation of mutant mtDNA is a common trait among mitochondrial diseases (Dhillon and Fenech, 2014; Park and Larsson, 2011; Burté et al., 2015). While the severity of the disease varies with the nature of the mutation, the most severe phenotypes result in childhood death, as in Leigh syndrome and MELAS (Area-Gomez and Schon, 2014; Schon et al., 2012). As there are currently no pharmacological treatments for mitochondrial diseases, it is of great importance to uncover the cellular processes that underlie the regulation of mtDNA quality control.

mtDNAs show high mutation rates (Brown et al., 1979; Konrad et al., 2017; Denver et al., 2000) and hence it is critical that cells possess mechanisms to remove detrimental mtDNA alleles, a process called purifying selection (Palozzi et al., 2018; Stewart et al., 2008). Defects in this process can result in mitochondrial diseases, allowing harmful mtDNA mutations to persist through the maternal germline and subsequent generations. Processes that regulate mtDNA quality control include mitochondrial fission/fusion dynamics and mitophagy (Burté et al., 2015; Twig and Shirihai, 2011; Busch et al., 2014; Ni et al., 2015; Ashrafi and Schwarz, 2013; Youle and Narendra, 2011; Tilokani et al., 2018), and the mitochondrial unfolded protein response (UPRMT; Hernando-Rodríguez and Artal-Sanz, 2018; Rolland et al., 2019; Münch, 2018; Callegari and Dennerlein, 2018; Gitschlag et al., 2016; Nargund et al., 2012; Lin et al., 2016). Further, it has also been found that the IIS pathway (Murphy and Hu, 2013; Haroon et al., 2018) ameliorates the fitness defects of mutant mtDNA.

One potential cellular process that could be used to eliminate defective mtDNAs is the culling of cells bearing mtDNA mutations by programmed cell death (PCD). The mechanisms of both developmentally controlled and genotoxicity-induced PCD have been shown to be well-conserved across metazoans (Lord and Gunawardena, 2012), and much of the machinery that choreographs this process is directed by mitochondria (Jeong and Seol, 2008; Estaquier et al., 2012; Bhola and Letai, 2016). Mitochondrial-dependent processes participating in PCD include permeabilization of the inner mitochondrial membrane and release of mitochondrial factors that mediate transduction of intermediary events in the cell suicide program (Jeong and Seol, 2008; Estaquier et al., 2012; Bhola and Letai, 2016). Both mitochondrial function and PCD are linked to the process of organismal aging (Tower, 2015). mtDNA mutations accumulate in tissues as organisms age, and it has been suggested that this accumulation is a major contributor to aging (Larsson, 2010; Payne and Chinnery, 2015; Kauppila et al., 2017).

The nematode C. elegans provides an attractive model for exploring the potential role of PCD in mtDNA purifying selection. The well-described, conserved PCD regulatory pathway in C. elegans functions not only to eliminate 131 somatic cells during development through a rigidly stereotyped program (Conradt et al., 2016), but is also activated apparently stochastically during germline development, resulting in the death of >95% of nuclei that would otherwise be destined to become oocytes in the mature hermaphrodite (Lord and Gunawardena, 2012; Gumienny et al., 1999; Baum et al., 2005; Jaramillo-Lambert et al., 2007). In addition to this ‘physiological’ PCD, germline nuclei that have experienced genotoxic stress are eliminated through p53-dependent apoptosis, as is also the case in somatic mammalian cells (Hafner et al., 2019; Derry et al., 2001). Thus, germline PCD allows for selective removal of nuclei with damaged genomes, thereby preventing intergenerational transmission of defective nuclear DNA. Given the prominent role played by mitochondria in the PCD process, it is conceivable that mitochondrial dysfunction could trigger PCD in the germline and, as such, might similarly provide a quality control mechanism for eliminating aberrant mtDNA, as seen for the nuclear genome.

We report here that germline mtDNA quality control in C. elegans is influenced by regulators of both PCD and the aging program. We find that pro-apoptotic regulators of germline PCD, notably the caspases CED-3 and CSP-1, the BH3-only domain protein CED-13, and regulators of cell corpse engulfment, reduce abundance of an mtDNA deletion and that abrogation of their functions results in elevated levels of the defective mtDNA. Notably, however, loss of the CED-3 activator CED-4/Apaf1 (Huang et al., 2013; Seshagiri and Miller, 1997) does not result in elevated levels of defective mtDNA. These findings raise the possibilities that either the caspases and the other pro-apoptotic factors function in mtDNA purifying selection by a non-canonical CED-4-independent cell death program, or that these pro-apoptotic regulators function in mtDNA purifying selection through a PCD-independent mechanism. We also report that defective mtDNA accumulates in the germline of animals with age and that although the abundance of the defective mtDNA is reduced in offspring, progeny of older mothers inherit higher levels of the mutant mtDNA than those from young mothers. Intergenerational removal of the defective mtDNA appears to be enhanced in older animals with defective mtDNA quality control. Further, we found that lifespan-extending mutations in both the IIS pathway and the non-IIS-dependent lifespan-regulator CLK-1/MCLK1 decrease accumulation of defective mtDNA, and that short-lived mutants show elevated accumulation, implicating molecular regulators of the aging process in mtDNA purifying selection. Our findings reveal that the PCD machinery and the aging program contribute to the removal of mtDNA mutations during germline development and their intergenerational transmission.

Results

The stably maintained mtDNA deletion mutant uaDf5 contains multiple linked mutations resulting in aberrant proteins and shows deleterious effects on growth

To test the role of potential regulatory factors in mtDNA purifying selection, we took advantage of uaDf5, a 3.1-kb mtDNA deletion mutation that removes part or all of four protein-coding genes and seven tRNAs (Figure 1A; Tsang and Lemire, 2002). Given the presumably deleterious nature of this defective mtDNA, it was of interest to understand how it is stably transmitted despite active purifying selection processes. While its maintenance at high levels is attributable in part to stabilization by the mitochondrial UPR (Gitschlag et al., 2016), uaDf5 persists, albeit at lower levels, in animals lacking this activity. One possible explanation for this phenomenon is that the mutant mtDNA might be maintained in heteroplasmy with an otherwise intact mtDNA carrying a complementing mutation. We sought to test this possibility through deep sequencing of mtDNA isolated from the uaDf5-bearing strain. Comprehensive sequence analysis revealed that, in addition to the large deletion, the strain indeed carries a second mtDNA mutation, w47 (Figure 1A, Figure 1—figure supplement 1A–C). w47 is a single base pair insertion in the nduo-4 gene that causes a frameshift, predicted to result in a truncated NADH dehydrogenase 4 (ND4) protein lacking 321 residues (Figure 1—figure supplement 1D). ND4 is an essential transmembrane subunit within complex I of the mitochondrial respiratory chain (MRC), which drives NADH-oxidation-dependent transport of protons across the inner mitochondrial membrane (Lemire, 2005; van der Bliek et al., 2017; Sousa et al., 2018). While this raised the possibility of two complementing mtDNA genomes, we found that the w47 mutation is present at the same abundance as the uaDf5 deletion mutation (~75% of total mtDNA, Figure 1—figure supplement 1B) rather than that of the wildtype mtDNA, strongly suggesting that it resides on the same mtDNA genome. As this second mutation cannot explain stabilization of the defective mtDNA by trans-complementation of two deleterious mutations, other mechanisms appear to promote the stable inheritance of uaDf5.

Figure 1. Analysis of the impact of mtDNAuaDf5 on fitness parameters.

(A) Diagram of C. elegans mtDNA. Black bars with arrows indicate the locations of genes and direction of transcription. Black lines with letters indicate the locations of tRNAs. Green bars show the locations of the mtDNAuaDf5 deletion as well as the linked w47 insertion that was identified via Illumina sequencing. (B) Brood size analysis of mtDNAuaDf5 compared to laboratory wildtype N2. (C) Embryonic lethality analysis of uaDf5 compared to laboratory wildtype N2. (D) Developmental rate analysis of mtDNAuaDf5 compared to laboratory wildtype N2, counting how many hours it takes for starved L1s to reach gravidity once plated on food. (E) Developmental rate analysis of mtDNAuaDf5 compared to laboratory wildtype N2, staging worms 60 hr after synchronized, starved L1s are plated on food. (F) Survival curve analysis of mtDNAuaDf5 compared to laboratory wildtype N2, day 1 is defined as the day starved L1s are plated on food. Median lifespan and statistics are presented in Figure 1—figure supplement 2. For (B–E), box plots show median and IQR (Interquartile Range), and the diamond indicates the mean. Statistical analysis was performed using the Mann–Whitney test (***p < 0.001, n.s. not significant).

Figure 1.

Figure 1—figure supplement 1. Characterization of the uaDf5 allele.

Figure 1—figure supplement 1.

(A) The percentage of reads that mapped to the w47 insertion in uaDf5 samples (red) and wildtype samples (blue). Error bars represent standard deviation of the mean (SEM). (B) Table outlining the percentage of reads that mapped to the w47 and uaDf5 mutations in uaDf5 samples. *The number of variant reads was determined by averaging the mapped reads across the deleted region and subtracting that from the average number of reads mapped to the rest of the mtDNA genome (total reads). (C) Diagram showing the mitochondrial respiratory chain (MRC) machinery subunits. Blue indicates nuclear DNA (nDNA)-encoded subunits, orange and green indicate mtDNA-encoded subunits. Green indicates those subunits that are knocked out in the uaDf5 allele (including NADH dehydrogenase 4 [ND4] which is knocked out by the linked w47 mutation). (D) Diagram showing the likely effect of the w47 mutation on ND4 protein translation. ND4 is a 409-aa long transmembrane subunit that spans the inner mitochondrial membrane 13 times. The w47 mutation results in a premature stop codon at position 89, eliminating 10 of the 13 alpha-helix membrane domains. (E) Diagram showing the likely effect of the uaDf5 mutation on ND1 protein translation. ND1 is a 291-aa long transmembrane subunit that spans the inner mitochondrial membrane 8 times and CYTB is a 370-aa long transmembrane subunit that spans the inner mitochondrial membrane 8 times. The uaDf5 mutation results in a 266 amino acid long fusion protein that connects the first 185 amino acids (and 5 subunits) of ND1 with the last 81 amino acids (and 3 subunits) of CYTB.
Figure 1—figure supplement 1—source data 1. ddPCR reads of mitochondrial DNA.
Figure 1—figure supplement 2. Lifespan analysis of the impact of uaDf5.

Figure 1—figure supplement 2.

Lifespan analysis of N2-bearing uaDf5 compared to wildtype N2. Day 1 is defined as the day starved L1s are plated on food. Box plots show median and IQR, and the diamond indicates the mean. Statistical analysis was performed using the Mann–Whitney test (n.s., not significant).

In addition to the aberrant protein encoded by the w47 frameshift mutation in nduo-4, a second abnormal protein is encoded by the uaDf5 genome: one end of the deletion results in a fusion protein comprised of the first 185 amino acids of NADH dehydrogenase 1 (ND1, a homolog of the core MT-ND1 transmembrane subunit of complex I of the MRC; Lemire, 2005; Sousa et al., 2018; Baradaran et al., 2013), and the last 81 amino acids of mitochondrial-encoded cytochrome b (CTB-1/CYTB, a transmembrane subunit of complex III of the MRC; Lemire, 2005; Sousa et al., 2018; Song et al., 2016; Figure 1—figure supplement 1E). It is conceivable that accumulation of these two abnormal proteins – the truncated ND4 and the ND1-CYTB fusion protein resulting from w47 and uaDf5, respectively – activate the UPRMT, which has been shown to result in clearance of mtDNAuaDf5, dependent on the ATFS-1 transcription factor (Gitschlag et al., 2016; Lin et al., 2016).

Animals harboring mtDNAuaDf5 are viable and fertile, presumably because they contain intact wildtype mtDNA (Tsang and Lemire, 2002). However, we found that uaDf5-bearing animals displayed a significant reduction in brood size (WT 304 ± 4.8; uaDf5 201 ± 8.6 embryos laid, p < 0.001) (Figure 1B) and a significant increase in embryonic lethality (WT 1.4 ± 0.2%; uaDf5 4.2 ± 0.7%, p < 0.001) (Figure 1C). Additionally, uaDf5 animals are slow-growing, evident in both the number of hours to reach gravidity (WT 63 ± 0.8; uaDf5 76 ± 1.4 hr at 20°C, p < 0.001) (Figure 1D) and the stage of development reached after 60 hr of feeding (WT: adult; uaDf5: mid-L4) (Figure 1E). In contrast, however, we were surprised to find that lifespan was not substantially affected (WT 14 ± 0.4; uaDf5 15 ± 0.5 days) (Figure 1F, Figure 1—figure supplement 2). Given the significant decline in the majority of fitness parameters tested, we conclude that uaDf5 is a useful tool for studying mitochondrial disease and mechanisms underlying mtDNA quality control.

PCD regulators promote removal of mtDNAuaDf5

During germline development in C. elegans, as many as 95% of nuclei destined to become potential oocytes are eliminated by PCD (Gumienny et al., 1999; Baum et al., 2005; Jaramillo-Lambert et al., 2007; Gartner et al., 2008). While this process has been proposed to be stochastically determined (Gumienny et al., 1999; Gartner et al., 2008), it has also been suggested that it may function to selectively remove all but the most ‘fit’ germline cells. As such, PCD could perform a role in purifying selection in the germline, wherein potential oocytes that undergo PCD are associated with higher levels of defective mtDNA. To test this hypothesis, we introduced uaDf5 into various PCD mutants and quantified abundance of the defective mtDNA by digital-droplet PCR (ddPCR; see Supplementary file 1 for list of mutants tested). In a wildtype genetic background, we found that the steady-state fractional abundance of uaDf5 in populations of 200 day 1 adults (first day of adulthood) is highly reproducible across four separate trials, demonstrating the reliability and robustness of the assay. Our analyses confirmed that mtDNAuaDf5 constitutes the major molar fraction of mtDNA in the uaDf5-bearing strain by a nearly 3:1 ratio (Figure 2—figure supplement 1).

CED-3 in C. elegans is the major executioner caspase in the canonical PCD pathway (Conradt et al., 2016; Gartner et al., 2008; Cohen, 1997) and is required for virtually all PCD both in the germline and the soma (Figure 2—figure supplement 2 adapted from Figure 2 in Conradt et al., 2016). We found that two ced-3 mutations that strongly block PCD (Shaham et al., 1999) showed a significant increase in the ratio of defective to normal mtDNA from a molar ratio of 2.7:1 for ced-3(+) to 3.4:1 for ced-3(n717) and 4.6:1 for ced-3(n1286) (Figure 2A). This effect is attributable to an increase in mtDNAuaDf5 in the PCD-deficient strains and not to a decrease in wildtype mtDNAWT. Rather, we observe an increase in the abundance of mtDNAWT in ced-3(−) mutant strains relative to ced-3(+) (1.45 × 1 05) ranging from a statistically insignificant 1.1-fold increase (1.67 × 105, p = 0.302) in ced-3(n717) to 2.2-fold increase (3.2 × 105, p = 0.0262) in ced-3(n1286) (Figure 2A, Supplementary file 2). These ced-3(−) mutations both localize to the p15 domain of the protease portion of CED-3 (Figure 2—figure supplement 3), consistent with abolition of caspase activity. These findings implicate the CED-3 caspase and its p15 domain in mtDNA quality control. We found that one other mutation located in the p15 domain showed only a very slight increase that was not statistically significant (n2454: 2.9:1, Figure 2B). While it is unclear why this allele showed a weaker effect it is noteworthy that, unlike the other two mutations, which result in a dramatic alteration of the protein, this mutation is predicted to result in a relatively modest (ala → thr) single amino acid substitution.

Figure 2. Regulators of programmed cell death (PCD) act on mutant mtDNA.

(A–C) Digital-droplet PCR (ddPCR) analysis of the steady-state molar ratio of mtDNAuaDf5 in 200 worm populations of day 1 adults of various PCD mutant backgrounds. (A) PCD mutants that result in a significant increase in the molar ratio of mtDNAuaDf5. (B) PCD mutants that result in no statistical change in the molar ratio of mtDNAuaDf5. (C) PCD mutant that results in a significant decrease in the molar ratio of mtDNAuaDf5. (D) The relative brood size of the animals with and without mtDNAuaDf5 in the indicated mutant backgrounds. For each nuclear genotype shown, the brood size of uaDf5-containing worms was normalized by dividing by the average brood size of worms containing only WT-mtDNA. Box plots show the median and IQR, the diamond indicates the mean. For A–C, n = 3 or more biological replicates of 200 worm populations were performed for each genotype. Average wildtype mtDNA copy number ± standard deviation is shown in the graph below in each panel. Statistical analysis was performed using one-way analysis of variance (ANOVA) with Dunnett’s correction for multiple comparisons. For (D), statistical analysis was performed using the Mann–Whitney test. Error bars represent standard deviation of the mean (SEM) (***p < 0.001, **p < 0.01, *p < 0.05, n.s. not significant).

Figure 2.

Figure 2—figure supplement 1. Reproducibility of digital-droplet PCR (ddPCR) measurement of uaDf5.

Figure 2—figure supplement 1.

Analysis of the steady state of uaDf5 in a wildtype nuclear background shows highly stable steady-state levels. Trials were done months apart on different thaws. Dots represent biological replicates. Statistical analysis was performed using one-way analysis of variance (ANOVA) with Tukey correction for multiple comparisons (n.s., not significant).
Figure 2—figure supplement 2. Programmed cell death (PCD) signaling pathway.

Figure 2—figure supplement 2.

(A) Signaling pathway for PCD. The canonical pathway is shown with black arrows, the non-canonical pathway is shown with green arrows, and the downstream engulfment pathway is shown with blue arrows. Figure supplement 2 has been adapted from Figure 2 in Conradt et al., 2016.
Figure 2—figure supplement 3. Analysis of the ced-3 alleles.

Figure 2—figure supplement 3.

(A) Locations and consequences of the four tested ced-3 alleles, as well as the measured fractional abundance of uaDf5. (B) Diagram showing the locations of the mutations for each allele.
Figure 2—figure supplement 4. Analysis of the impact of uaDf5 on fitness parameters in programmed cell death (PCD) mutants.

Figure 2—figure supplement 4.

(A) Brood size analysis of PCD mutants. (B) Lifespan analysis shows that uaDf5 does not affect lifespan in both wildtype background and in PCD mutant backgrounds. (C) Lifespan analysis shows that uaDf5 does not affect lifespan in a wildtype nuclear background nor in PCD mutant backgrounds. For B and C, day 1 is defined as the day starved L1s are plated on food. For A and C, box plots show median and IQR, and the diamond indicates the mean. Statistical analysis was performed using the Mann–Whitney Wilcoxon test (***p < 0.001, **p < 0.01, n.s., not significant).

A second caspase in C. elegans, CSP-1, also functions, albeit less prominently, in PCD. While loss of CSP-1 alone does not result in a strong reduction in PCD, it synergizes with loss of CED-3 both in PCD and in other caspase-dependent processes (Figure 2—figure supplement 2; Denning et al., 2013; Shaham and Shaham, 1998; Jeong et al., 2020). We found that removing CSP-1 in the csp-1(tm917) knockout mutant results in a significant increase in mtDNAuaDf5 abundance to a molar ratio of 3.9:1 (Figure 2A, Supplementary file 2). Further, we found that this mutation enhances the effect of the ced-3(n717) mutation, increasing the mtDNAuaDf5:mtDNAWT molar ratio from 3.5:1 to 4.7:1 (Figure 2A, Supplementary file 2). Together these findings demonstrate that caspase activity, and possible PCD-mediated clearance, are crucial for mtDNA quality control and function in purifying selection of defective mtDNA.

We sought to further investigate a potential role for PCD in mtDNA purifying selection by evaluating the requirement for the pro-apoptotic factor CED-13, a BH3-only domain protein that acts specifically in the germline to activate PCD (Conradt et al., 2016; King et al., 2019; Schumacher et al., 2005). Consistent with a requirement for PCD in purifying selection, we found that two ced-13 alleles result in a very substantial increase in the mtDNAuaDf5:mtDNAWT molar ratio (sv32: 4.2:1 and tm536: 5.1:1) (Figure 2A, Supplementary file 2), supporting the notion that CED-13 promotes removal of defective mtDNA in the germline. CED-13 functions in PCD by antagonizing the function of mitochondrially localized CED-9/Bcl-2 (King et al., 2019; Schumacher et al., 2005), which normally sequesters the apoptosome factor CED-4/APAF1 at mitochondria, thereby preventing it from triggering autocatalytic conversion of the executioner caspase zymogen proCED-3 to its pro-apoptotic protease structure (Figure 2—figure supplement 2; Fairlie et al., 2006). An equivalent action is carried out in the soma by the BH3-only protein EGL-1 (Fairlie et al., 2006). n1950, a gain-of-function allele of ced-9 that blocks the interaction of EGL-1 with CED-9 at the mitochondria, results in elimination of PCD in the soma but not the germline (Conradt et al., 2016; Gumienny et al., 1999; Gartner et al., 2008; Fairlie et al., 2006). Consistent with the lack of effect of ced-9(n1950gf) on germline PCD, we found that the mtDNAuaDf5:mtDNAWT molar ratio was not increased in ced-9(n1950gf) mutants (2.2:1) (Figure 2B, Supplementary file 2). Thus, CED-3, CSP-1, and CED-13 are required both for germline PCD and for removal of mtDNAuaDf5.

Cells that undergo PCD are cleared by the surrounding cells in the process of engulfment and degradation, which is implemented through a set of redundant pathways that converge on the CED-10 GTPase (Wu et al., 2017; Kinchen et al., 2005; Hochreiter-hufford and Ravichandran, 2013; Wang and Yang, 2016; Figure 2—figure supplement 2). Although this engulfment process is necessary primarily for removal of the resultant corpses, it also appears to play an active role in cell killing: inhibition of the engulfment pathway diminishes occurrence of PCD, likely through a complex feedback mechanism (Reddien and Horvitz, 2004; Hoeppner et al., 2001). Further supporting a role for PCD in purifying selection, we found that single or double mutations of several genes that promote engulfment of cell corpses result in elevated mtDNAuaDf5:mtDNAWT molar ratios, ranging from 3.5:1 to 5.2:1 (4.1:1 for ced-1(e1735), 4.5:1 for ced-2(e1752), 5.2:1 for the ced-1(e1735); ced-2(e1752) double mutant, 3.6:1 for ced-10(n1993), and 4.8:1 for ced-10(n3246); Figure 2A, Supplementary file 2). As we observed for the caspase mutants, the increase in relative abundance of mtDNAuaDf5 seen in the cell corpse engulfment mutants is not associated with a significant decrease in wildtype mtDNA levels.

We tested whether generally increased germline PCD alters mtDNAuaDf5 abundance by examining the effect of removing the caspase-related factor, CSP-2, which has been shown to play an anti-apoptotic role through inhibition of CED-3 autoactivation in the germline (Figure 2—figure supplement 2; Geng et al., 2009). We found that a loss-of-function mutation in csp-2, which elevates germline PCD, did not alter the mtDNAuaDf5:mtDNAWT molar ratio (2.9:1 for the csp-2(tm3077) knockout mutation) (Figure 2B). This observation does not conflict with a requirement for PCD in purifying selection: a general increase in PCD in the germline of csp-2(−) animals would not be expected per se to alter the mechanism that discriminates defective from normal mtDNAs and therefore the relative abundance of the two forms. Rather, our findings suggest that the mechanisms that recognizes and disposes of the defective mtDNA specifically requires PCD components acting in a selective, rather than general process (i.e., in those cells with the highest burden of the defective mtDNA).

As suggested above, it is conceivable that the effects described were attributable to changes in the abundance of mtDNAWT per se. For example, if the nuclear mutations tested resulted in decreased mtDNAWT copy numbers without affecting mtDNAuaDf5 abundance, then the mtDNAuaDf5:mtDNAWT molar ratios would be skewed upward. However, while we observed modest variation in mtDNAWT abundance across the mutant strains (Figure 2), across the strains, the variation does not generally correlate with the increased fractional abundance of mtDNAuaDf5: while some mutants with elevated fractional abundance of the defective mtDNA showed somewhat higher levels of mtDNAWT, others contained lower levels of intact mtDNA (Figure 2). For example, although the ced-13(tm536) mutant showed the highest mtDNAuaDf5:mtDNAWT molar ratio, the abundance of mtDNAWT was also higher than in the wildtype nuclear background (2.4 × 105 ± 3.09 × 104 in ced-13(tm536) vs 1.45 × 105 ± 2.44 × 104 in wildtype p = 0.026). Further, while the ced-1(−); ced-2(−) double mutant showed among the largest relative abundance of mtDNAuaDf5, this strain contained the lowest level of mtDNAWT (1.15 × 105 ± 3.02 × 103, p = 0.254). Thus, increased levels of defective mtDNA in the PCD mutants are not apparently attributable to alterations in mtDNAWT levels.

Evidence for a non-canonical PCD pathway in mtDNA purifying selection

The foregoing results implicate a role for the pro-apoptotic CED-3 and CSP-1 caspases, CED-13, and the CED-1, 2, and -10 cell corpse engulfment factors in mtDNA purifying selection. However, several observations suggest that mitochondrial purifying selection may be regulated by a non-canonical cell death pathway, in contrast to the pathway that regulates normal, physiological germline PCD.

First, we found that the ced-3(n718) allele lowers, rather than elevates, the abundance of mtDNAuaDf5 (mtDNAuaDf5:mtDNAWT molar ratio of 1.8:1, Figure 2C). This effect is likely to be attributable to the nature of the n718 mutation. The ced-3 mutations that result in increased mtDNAuaDf5 levels (Figure 2A) alter the p15 domain, which is essential for active caspase function. In contrast, the n718 mutation changes a residue in the caspase activation and recruitment domain (CARD), located within the prodomain of the CED-3 zymogen, which is removed upon caspase activation and affects its activation by CED-4 (Figure 2—figure supplement 3; Huang et al., 2013; Shaham et al., 1999). While ced-3(n718) strongly compromises PCD, this mutation might not alter CED-3 caspase function in a way that interferes with its role in mtDNA purifying selection.

Our surprising finding that while CED-3 activity is required for mtDNA purifying selection, a CED-3 mutation that compromises its activation by CED-4 did not elevate mtDNAuaDf5 levels prompted us to investigate the requirement of CED-4 in mitochondrial purifying selection. Consistent with the effect of the ced-3(n718) mutation, we found that eliminating the function of the pro-apoptotic regulator CED-4, the C. elegans ortholog of mammalian Apaf1 and the upstream activator of CED-3 in the canonical PCD pathway (Fairlie et al., 2006; Yang et al., 1998), did not result in a marked increase in the relative abundance of mtDNAuaDf5. That is, while the mtDNAuaDf5:mtDNAWT molar ratio increased to 3.1:1 in the ced-4(n1894) mutant, the effect was not statistically significant. Moreover, the canonical allele ced-4(n1162) allele similarly showed no elevation in mtDNAuaDf5 (molar ratio = 2.6:1; Figure 2B). These results suggest that CED-3 caspase functions in mitochondrial purifying selection independently of the caspase-activating factor CED-4.

Evidence that decreased fitness, but not lifespan, is attributable to mtDNAuaDf5-induced PCD

Taken together, our results implicate many PCD regulatory factors, and potentially PCD, in the selective clearance of defective germline mtDNAs. Our additional observations suggest that defective mtDNAs may, in fact, trigger elevated germline PCD, resulting in the production of fewer mature gametes and progeny. Specifically, we found that the significant decrease in brood size that we observed in uaDf5-bearing animals with a wildtype nuclear background is partially suppressed by both ced-3(−) and ced-13() mutations, which prevent PCD (Figure 2D, Figure 2—figure supplement 4A), suggesting that elimination of PCD might rescue cells that would otherwise be fated to die as a result of accumulation of defective mtDNA. Our findings further underscore the observation that accumulation of defective mtDNA in those animals that do survive does not affect longevity, as we found that lifespan is unaltered in these PCD mutants even when the levels of mtDNAuaDf5 are nearly doubled (Figure 2—figure supplement 4B, C).

Age-dependent accumulation of mtDNAuaDf5 in the germline

Our findings that PCD regulators are required to reduce mtDNAuaDf5 abundance, the central role that mitochondria play in PCD (Jeong and Seol, 2008; Estaquier et al., 2012; Bhola and Letai, 2016; Parsons and Green, 2010), the observed decline of mitochondrial health during the aging process (Park and Larsson, 2011; Larsson, 2010; Payne and Chinnery, 2015; Kauppila et al., 2017; Harman, 1992; Harman, 1956; Szczepanowska and Trifunovic, 2017; Bratic and Larsson, 2013; Ziegler et al., 2015), and the relationship between excessive PCD and the aging phenotype (Tower, 2015) led us to examine the dynamics of mtDNAuaDf5 accumulation as worms age. We measured the fractional abundance of uaDf5 in adults at progressively increased ages spanning day 1, defined as the first day of egg-laying, through day 10. Day 1 through day 4 of adulthood encompasses the time during which nearly all self-progeny are produced. After day 4, hermaphrodite sperm become depleted and the animals transition into a post-gravid, progressively aging state (Kimble and Crittenden, 2005; Yoon et al., 2017; Angeles-Albores et al., 2017). By day 10, animals exhibit indications of advanced age. Analysis of the abundance of mtDNAuaDf5 revealed a progressive increase throughout gravidity and post-reproductive aging, with the mtDNAuaDf5:mtDNAWT molar ratio increasing from 2.9:1 to 5.5:1 (Figure 3A, Figure 3—figure supplement 1A). This age-related accumulation of uaDf5 in adult worms is reminiscent of the accumulation of mtDNA mutations seen in aging mammals (Larsson, 2010; Szczepanowska and Trifunovic, 2017; Kujoth et al., 2005) and suggests that uaDf5 in C. elegans may be a useful tool for studying the role that mtDNA mutations play in aging.

Figure 3. mtDNAuaDf5 accumulates in the germline of aging adults, and evidence of purifying selection between mother and offspring.

(A) Analysis of the molar ratio of mtDNAuaDf5 in aging adults in a wildtype nuclear background. Average wildtype mtDNA copy number ± standard deviation is shown in the graph below. (B) Analysis of the percent change of uaDf5:WT from day 1 (Y axis = (uaDf5:WT day x − uaDf5:WT day 1)/(uaDf5:WT day 1)). For glp-1(q231ts), fem-3(q20ts), and glp-4(bn2ts), 15°C is the permissive temperature (germline development occurs) and 25°C is the restrictive temperature (female germline development is inhibited). Statistical analysis was performed using one-way analysis of variance (ANOVA) with Tukey correction for multiple comparisons (***p < 0.001, **p < 0.01, *p < 0.05, n.s., not significant). Error bars represent standard deviation of the mean (SEM). (C) Analysis of the molar ratio of mtDNAuaDf5 in aging adults (P0 adult) and their L1 progeny (F1-L1) in various nuclear backgrounds shows that all strains decrease the uaDf5 load during transmission from mother to offspring, and that strains with significantly higher mtDNAuaDf5 levels (atfs-1(et15), ced-10(n1993), and ced-13(sv32)) have a more significant removal mechanism at day 4 of adulthood. n = 3 or more replicates of 200 worm populations were performed for each timepoint. Error bars represent SEM. Gray dashed line indicates a hypothetical threshold at which high mtDNAuaDf5 burden activates enhanced intergenerational purifying selection in older mothers. (D) Analysis of the measured loss of mtDNAuaDf5 between mother and offspring at each day of adulthood shows that mtDNAuaDf5 removal occurs. n = 6 replicates of 200 worm populations for each condition.

Figure 3.

Figure 3—figure supplement 1. uaDf5 accumulation in individual lines of adults and progeny.

Figure 3—figure supplement 1.

(A) Analysis of uaDf5 accumulation in individual lines of aging P0 adults shows a consistent accumulation trend as adults age. (B) Analysis of uaDf5 accumulation in individual lines of F1-L1 progeny that were born from those mothers shown in panel A shows a consistent trend of progeny born from older mothers inheriting a larger uaDf5 load than their siblings born from younger mothers.

Given that gametes are depleted with age, it is conceivable that the age-dependent increase in mtDNAuaDf5 is attributable to accumulation in somatic mitochondria. To assess whether the observed age-related accumulation of mtDNAuaDf5 occurs predominantly in the maternal germline or in somatic cells, we analyzed animals defective in germline development by taking advantage of the glp-4(bn2) mutant, which produces only a small number (~12) of germline cells compared to that in wildtype animals (~1500), with no known effect on somatic gonad development (Beanan and Strome, 1992). In contrast to the increased mtDNAuaDf5 abundance with age seen at permissive temperature (mtDNAuaDf5:mtDNAWT of 1.8:1 at day 1, rising to 2.6:1 at day 4, for an overall increase by 48%), we found that glp-4(bn2) animals at the non-permissive temperature showed a slight decrease in the defective mtDNA from day 1 to 4 of adulthood (2.2:1 at day 1, dropping to 2:1 at day 4, for an overall decrease of 6.3%) (Figure 3B). These results strongly suggest that the observed age-dependent increase in mtDNAuaDf5 abundance occurs exclusively in the germline. We found that mtDNAuaDf5 does eventually appear to accumulate in somatic cells with age, as day 10 adults grown at the restrictive temperature showed a marked increase in the mtDNAuaDf5:mtDNAWT molar ratio compared to day 1 adults even in the absence of a germline (day 10 glp-4(bn2) molar ratio of 3.4:1, a 57% increase from day 1 levels) (Figure 3B). We also observed an increase in wildtype mtDNA copy number during the period of gravidity, which is likely the result of compensatory expansion in response to the replicative advantage of mtDNAuaDf5. We conclude that the marked increase in mtDNAuaDf5 with age during the period of fecundity occurs primarily in the germline and that the defective mtDNA accumulates in both germline and somatic tissue during post-reproductive life.

Age-dependent increase in mtDNAuaDf5 burden is transmitted to progeny

As the mtDNA is inherited strictly through the maternal germline, we posited that the age-dependent increase in the fractional abundance of germline mtDNAuaDf5 might be transmitted to progeny animals. To test this hypothesis, we measured the molar ratio of mtDNAuaDf5 in 200-worm populations of L1 larvae derived from day 1 to 4 adults (Figure 3C, Figure 3—figure supplement 1B). This analysis led to two key observations: (1) the abundance of mtDNAuaDf5 is reduced during transmission between mother and offspring (average decrease ranging from 6% to 13%), presumably as a result of purifying selection, and (2) the abundance of the defective mtDNA in the offspring correlates with the age of the mothers: the progeny of older mothers contain a markedly higher mtDNAuaDf5:mtDNAWT molar ratio (4.2:1) than that of younger mothers (2.6:1) (Figure 3C, D). A similar trend was observed for mother-to-offspring transmission in five mutant strains with altered levels of mtDNAuaDf5 (see below): in all cases, progeny contain lower abundance of mtDNAuaDf5 than their mothers, and progeny of younger adults inherit a lower load of mtDNAuaDf5 than progeny of older adults (Figure 3C). These results reveal that mtDNA quality control occurs between primordial germ cell proliferation in the female germline and L1 hatching, that is, during oocyte maturation, embryogenesis, or both.

The lifespan-determining IIS pathway regulates accumulation of mtDNAuaDf5

We sought to determine whether the age-dependent accumulation of defective mtDNA is controlled by known molecular mechanisms that drive the aging program in C. elegans. The most prominent of these regulatory systems is the highly conserved insulin/IGF-1 (insulin-like growth factor-1) pathway (IIS), which performs a pivotal regulatory function in aging and longevity (Murphy and Hu, 2013; Bartke, 2008; Anisimov and Bartke, 2013; Figure 4—figure supplement 1). Abrogation of the IIS signaling pathways, for example, as a result of mutations in the gene encoding the IIS receptor (DAF-2, in C. elegans), results in marked slowing of the aging program and extension of lifespan in worms, flies, and mice (Piper et al., 2008; Kenyon et al., 1993; Tatar et al., 2001; Blüher et al., 2003). The IIS pathway also functions in a broad set of other processes including, in C. elegans, activation of two stages of developmental arrest, or diapause, at the L1 larval stage and in formation of the dispersal form, the dauer larva, as well as in the control of germline proliferation, stress resistance, fat metabolism, and neuronal/behavioral programs (Murphy and Hu, 2013). It was also reported that inhibition of the IIS pathway rescues various fitness parameters in a mtDNA mutator strain which contains a faulty mtDNA polymerase (Haroon et al., 2018), consistent with a possible role in mtDNA quality control.

We found that two mutant alleles of daf-2 that affect the kinase domain and which reduce rates of aging and increase lifespan, result in dramatically decreased mtDNAuaDf5:mtDNAWT molar ratios from 2.8:1 to as low as 0.3:1 (0.3:1 for daf-2(e1391); 0.8:1 for daf-2(e1370); Figure 4A; see Supplementary file 3 for a list of lifespan mutants used in the analyses). Thus, the lifespan-extending effects of daf-2 mutations are strongly correlated with diminished abundance of defective mtDNA, to the extent that it becomes the minor species of mtDNA.

Figure 4. Lifespan mutants have both a lower steady-state level and accumulation rate of mtDNAuaDf5.

(A–C) Analysis of molar ratio of mtDNAuaDf5 in day 1 adults of various mutant backgrounds. Average wildtype mtDNA copy number ± standard deviation is shown in the graph below in each panel. (A) Analysis of steady-state mtDNAuaDf5 levels in long-lived mutants. (B) Analysis of steady-state mtDNAuaDf5 levels in short-lived mutants, showing synergistic activity on mtDNAuaDf5 removal capacity in the daf-2(e1391) clk-1(qm30) double mutant. (C) Analysis of steady-state mtDNAuaDf5 levels in daf-2(−) single and daf-16(−); daf-2() double mutants, showing a partial rescue of daf-2(−) phenotype by daf-16(−). (D) Analysis of the molar ratio of mtDNAuaDf5 in aging adults in 21 different nuclear backgrounds shows a consistent accumulation trend. (E) Summary of the rate of increase for the lifespan regulation mutants, showing that daf-16 rescues the daf-2 accumulation rate phenotype. The normalized accumulation rate was calculated by fitting a regression line for each trial and then dividing the slope of the regression line by the slope of the averaged regression line found in a wildtype background. For all, n = 3 or more replicates of 200 worm populations for each genotype and stage. For A and E, statistical analysis was performed using one-way analysis of variance (ANOVA) with Tukey correction for multiple comparisons. For C, statistical analysis was performed using one-way ANOVA. For B, statistical analysis was performed using one-way ANOVA with Dunnett’s correction formultiple comparisons. Error bars represent standard deviation of the mean (SEM) (***p <0 .001, **p <0 .01, *p < 0.05, n.s., not significant).

Figure 4.

Figure 4—figure supplement 1. Insulin/IGF-1 signaling (IIS) pathway.

Figure 4—figure supplement 1.

Insulin-like peptides (ILPs) bind to DAF-2 and activate the PI3P pathway which prevents nuclear translocation of DAF-16. AAK-2 may phosphorylate and activate DAF-16 transcriptional activity. Loss of aak-2 or daf-2 (highlighted in red) reduces lifespan.
Figure 4—figure supplement 2. Analysis of the accumulation of mtDNAuaDf5 in programmed cell death (PCD) and lifespan mutants.

Figure 4—figure supplement 2.

Analysis of the normalized fractional abundance uaDf5 [(% uaDf5 day x − % uaDf5 day 1) × % uaDf5 day 1] in steady-state populations, showing the accumulation rate of mtDNAuaDf5 as worms age from day 1 to 4 of adulthood. (A, B) Analysis of the accumulation of uaDf5 in long-lived mutants. (C) Analysis of the accumulation of mtDNAuaDf5 in short-lived mutants (C, D). Linear regression analysis of the normalized fractional abundance uaDf5 [(% uaDf5 day x − % uaDf5 day 1) × % uaDf5 day 1] in steady-state populations, showing the accumulation rate of mtDNAuaDf5 as worms age from day 1 to 4 of adulthood. (C) Analysis of long-lived mutants. (D) Analysis of short-lived mutants. (E) Analysis of the accumulation of mtDNAuaDf5 in PCD mutants. (F–H) Linear regression analysis of the normalized fractional abundance mtDNAuaDf5 [(% uaDf5 day x − % uaDf5 day 1) × % uaDf5 day 1] in steady-state populations, showing the accumulation rate of mtDNAuaDf5 as worms age from day 1 to 4 of adulthood. (F) Analysis of PCD mutants with significantly high steady-state level of mtDNAuaDf5. (G) Analysis of PCD mutants with significantly low steady-state level of mtDNAuaDf5. (H) Analysis of PCD mutants with no significant change in the steady-state level of mtDNAuaDf5. For C, D, F–H, dots represent actual datapoints, lines are fitted regression models of the data. For all, n = 3 replicates or more of 200 worm populations for each datapoint.
Figure 4—figure supplement 3. uaDf5 differentially impacts fitness parameters in lifespan-affecting mutants.

Figure 4—figure supplement 3.

(A, B) Brood size analysis showing how uaDf5 differentially impacts brood size in lifespan mutant backgrounds. uaDf5 has no negative impact on the long-lived mutant clk-1 but has a modestly larger negative impact on the short-lived mutant daf-16 than it does in the wildtype background. (B) Relative brood size of the animals with and without uaDf5 in the indicated mutant backgrounds. (C, D) Embryonic lethality analysis showing how uaDf5 differentially impacts embryonic lethality in lifespan mutant backgrounds. uaDf5 has no negative impact on the long-lived mutant clk-1 but has a modestly larger negative impact on the short-lived mutant daf-16 than it does in a wildtype background. (D) Relative lethality of the animals with and without uaDf5 in the indicated mutant backgrounds. Box plots show median and IQR, and the diamond indicates the mean. For A and C, statistical analysis was performed using the Mann–Whitney test. For B and D, statistical analysis was performed using the Kruskal–Wallis test (***p < 0.001, n.s., not significant).

The DAF-2 receptor acts by antagonizing the DAF-16/FoxO transcription factor, the major effector of IIS downstream, in response to insulin-like ligands. Thus, removal of daf-16 function reverses the lifespan-extending effects of daf-2(−) mutants. We tested whether the DAF-2 → DAF-16 pathway similarly functions in mtDNA purifying selection. We found that eliminating DAF-16 in two daf-16 mutants results in slightly increased, albeit not statistically significant, mtDNAuaDf5:mtDNAWT molar ratios (3.3:1 for daf-16(mu86); 3.5:1 for daf-16(mgDf50)) (Figure 4B). Further, we found that removal of DAF-16 in the daf-16(mu86) mutant suppressed the decreased mtDNAuaDf5:mtDNAWT molar ratios observed in two daf-2 mutants, from 0.3:1 for daf-2(e1391) to 1:1 for daf-16(mu86); daf-2(e1391) and from 0.6:1 for daf-2(e1370) to 1.8:1 for daf-16(mu86); daf-2(e1370), consistent with observations reported in a recent study (Kirby and Patel, 2021). While the daf-2() effect on mtDNAuaDf5 levels is largely dependent on DAF-16, neither double mutant restored mtDNAuaDf5 levels to those seen in animals with a fully intact IIS pathway, suggesting that other DAF-2 targets might participate in removal of defective mtDNA (Figure 4C). We found, conversely, that two mutations that reduce lifespan by eliminating the function of AAK-2 (AMP activated kinase-2), a conserved factor acting in the IIS pathway (Murphy and Hu, 2013; Haroon et al., 2018), result in elevated mtDNAuaDf5:mtDNAWT molar ratios as high as 4.4:1 compared to 2.8:1 in wildtype animals (3.8:1 for aak-2(ok524) and 4.4:1 for aak-2(gt33)) (Figure 4B). These findings demonstrate that alterations in the IIS pathway coordinately affect both lifespan and accumulation of defective mtDNA and that the DAF-2/DAF-16/AAK-2 axis acts similarly in both processes.

Synergistic effect of multiple aging pathways on mtDNAuaDf5 accumulation

In addition to IIS, other molecular regulatory pathways independently contribute to the rate of aging. These include CLK-1, a mitochondrial hydroxylase that functions in the pathway for ubiquinone synthesis (Miyadera et al., 2002; Miyadera et al., 2001). clk-1 mutants with a wildtype mitochondrial genome have been shown to contain levels of mtDNA that are elevated by 30%, perhaps as the result of a compensatory process that increases demand on mitochondrial abundance, or the action of CLK-1 as a regulator of mtDNA abundance in response to energy availability within the cell (Kirby and Patel, 2021). As with long-lived daf-2 mutants, we found that long-lived clk-1(qm30) mutants showed a greatly diminished mtDNAuaDf5:mtDNAWT molar ratio of 0.3:1 (Figure 4A), comparable to that in daf-2 mutants; again, mtDNAuaDf5 is the minor species in these animals. As the IIS pathway and CLK-1 appear to act separately in controlling lifespan, we postulated that elimination of both mechanisms might further reduce levels of the defective mtDNA. Indeed, we found that mtDNAuaDf5 was completely eliminated in daf-2(e1391) clk-1(qm30) double mutants, revealing a strongly synergistic effect between the two age-determining systems (Figure 4A). Thus, distinct regulatory pathways for longevity modulate the abundance of mtDNAuaDf5 by apparently different mechanisms and elimination of the two pathways abrogates its maintenance.

Age-dependent accumulation rate of mtDNAuaDf5 strongly correlates with genetically altered rates of aging

Our findings that the steady-state abundance of mtDNAuaDf5 increases with maternal age and that mutants with increased lifespan show lower levels of the defective mtDNA raised the possibility that purifying selection is subject to the same control as aging clocks. To assess this potential connection, we analyzed the time-dependent rates of mtDNAuaDf5 accumulation in animals with genetic backgrounds that alter the aging clock. Analysis of 21 different genetic backgrounds over the first 10 days of adulthood revealed that the age-dependent progressive accumulation of mtDNAuaDf5 is a consistent phenomenon (Figure 4D). Comparison of long-lived mutants and wildtype using a linear regression model revealed a striking positive correlation between aging rate and age-dependent rate of accumulation of mtDNAuaDf5: all long-lived mutants in either the IIS pathway or clk-1 accumulate mtDNAuaDf5 at a substantially slower rate as they age than do wildtype animals (Figure 4E, Figure 4—figure supplement 2A, B). Conversely, we analyzed six short-lived IIS pathway mutant combinations and found that the aak-2(ok524) and daf-16(mu86) single mutants and daf-16(−);daf-2(−) double mutants all showed increased rates of mtDNAuaDf5 accumulation (Figure 4E, Figure 4—figure supplement 2C, D). These observations suggest that in both slower- and faster-aging strains, the rate of accumulation of deleterious mtDNA is a predictor of aging rate. In the two exceptional cases, the aak-2(gt33) and daf-16(mgDf50) single mutants, we did not observe an increased accumulation rate compared to wildtype; however, the mtDNAuaDf5 levels are consistently higher than in these two mutants than in wildtype at all stages (Figure 4E, Figure 4—figure supplement 2D) and thus diminished removal of mtDNAuaDf5 overall correlates with decreased lifespan in these mutants as well. The greater mtDNAuaDf5 accumulation rates seen in the short-lived animals is not attributable to the higher steady-state levels per se, as the rates of accumulation of defective mtDNA observed in the PCD mutants with higher mtDNAuaDf5 levels show no correlation with the steady-state levels (Figure 4—figure supplement 2E–H); rather these increased rates appear specifically to be a property of the shortened lifespan mutants.

Consistent with a relationship between aging rates and accumulation of defective mtDNA, we found that the brood size is decreased and embryonic lethality is increased in short-lived daf-16(−) mutants, but not in the long-lived clk-1(−) mutant compared to those in a wildtype nuclear background (Figure 4—figure supplement 3). These results are consistent with the possibility that longevity pathways modulate fitness in part by regulating mitochondrial homeostasis.

Evidence for late adulthood-specific mechanisms for removal of mtDNAuaDf5

We obtained evidence that defective mtDNA is more effectively removed in offspring of aging adults that carry an unusually high burden of mtDNAuaDf5. The offspring of day 4 adults in those strains (‘high’ strains) with significantly higher steady-state fractional abundance of mtDNAuaDf5 showed significantly greater rates of reduction of the defective mtDNA ranging from 24% reduction in ced-10(n1993) (fractional abundance of mtDNAuaDf5 of 6.5:1–2.8:1) and 17.4% in ced-13(sv32) (6.4:1–3.3:1) to 14.5% in atfs-1(et15) (5.4:1–3.3:1), compared to offspring of (‘low’ strain) mothers with lower steady-state fractional abundance of the mutant mtDNA (13.5% reduction in ced-3(n2454) (3.9:1–2.8:1); 12.7% in ced-4(n1162) (3.2:1–2.5:1) versus only 3.2% in WT (4.7:1–4.2:1)). Remarkably, therefore, day 4 progeny from ‘high’ strains actually inherit a lower mtDNAuaDf5 load than their siblings born from day 1 to 3 mothers (Figures 3C and 5A). Indeed, we found a strong correlation (r2 = 0.61, p < 0.001) between the steady-state level of mtDNAuaDf5 in mothers and the capacity for its removal between mother and progeny during day 4 of adulthood (Figure 5B). These results raise the possibility that very high levels of mtDNAuaDf5 in older mothers activate an additional mtDNA purifying selection process such as mitophagy, perhaps independent of the UPRMT and PCD machinery, thereby ensuring that progeny are not overloaded with defective mitochondria.

Figure 5. Evidence for late adulthood-specific mechanisms for removal of mtDNAuaDf5.

Figure 5.

(A) Subtracting uaDf5:WT in progeny from day 1 adults from progeny of day 4 adults shows that day 4 F1-L1s tend to have higher mtDNAuaDf5 burden than their day 1 siblings, but this is no longer the case in nuclear backgrounds that result in a significantly higher steady-state levels of mtDNAuaDf5 in the adult. n = 3 or more replicates for each genotype and statistical analysis was performed using the Mann–Whitney test. (B) Comparison of the molar ratio of mtDNAuaDf5 in day 4 adult mothers to the absolute % removal of mtDNAuaDf5 from mother to offspring shows a positive correlation (***p < 0.001).

Discussion

We have obtained several lines of evidence indicating that regulators of PCD and the aging program function in mtDNA quality control and accumulation of defective mtDNA in C. elegans. We report eight major findings: (1) regulators of germline PCD are required for effective removal of deleterious mtDNA from the germline; (2) the cell death machinery functions in a non-canonical caspase-dependent but CED-4-independent cell death pathway to mediate mitochondrial purifying selection; (3) the CSP-1 caspase has as strong of an effect on mitochondrial purifying selection as the major PCD regulator CED-3; (4) mtDNAuaDf5 progressively accumulates in the germline as adults age; (5) this age-dependent accumulation of mtDNAuaDf5 is transmitted to progeny; however, the burden of the defective mtDNA is lower in offspring than mothers suggesting intergenerational purifying selection; (6) two separate aging pathways, the IIS and CLK-1 pathways, act synergistically to regulate mtDNAuaDf5 levels; longer-lived mutants show reduced levels of the defective mtDNA while shorter-lived mutants show increased levels compared to otherwise wildtype animals; (7) the rate of mtDNAuaDf5 accumulation is inversely correlated with lifespan in aging mutants; (8) intergenerational removal of mtDNAuaDf5 occurs more effectively during transmission from older mothers with high burden of the defective mtDNA.

Previous reports demonstrated that UPRMT limits uaDf5 clearance, and that eliminating the UPRMT-mediating transcription factor, ATFS-1, lowers mtDNAuaDf5 abundance (Gitschlag et al., 2016; Lin et al., 2016). Our identification of a second mutation in the uaDf5 mutant that results in premature truncation of the ND4 gene product raises the possibility that expression of both the truncated ND4 and the ND1-CYTB fusion protein might together activate UPRMT. The possibility that production of aberrant polypeptides resulting from these mutations that trigger this response will require analysis of additional mtDNA mutants. It has also been demonstrated that mtDNAuaDf5 behaves as a selfish genetic element (Gitschlag et al., 2016) that exhibits a replicative advantage over wildtype mtDNA. To meet the metabolic energy demands of a cell, an optimal level of mtDNA is presumably maintained by regulating the mtDNA copy number. When the wildtype mtDNA copy number is insufficient, it seems likely that replication is induced and replication of the smaller deleted mtDNAuaDf5 is amplified as a consequence. Interestingly, we found that an increase in mtDNAuaDf5 levels, either with age or in particular mutant backgrounds, was associated with a slight increase in wildtype mtDNA levels as well, reflecting such a potential compensatory mechanism.

Mitochondrial deletion mutant uaDf5 as a model for mitochondrial disease

We found that uaDf5 affects brood size, embryonic lethality, and developmental rate, highlighting its use as a model for investigating mitochondrial diseases. The reduced brood size in uaDf5-bearing animals might reflect diminished germ cell proliferation, as mitochondria have been implicated in progression of germline maturation (Charmpilas and Tavernarakis, 2020; Folmes et al., 2016). Alternatively, the defective mtDNA might trigger hyperactivation of the germline PCD pathway that specifically removes germ cells with the highest burden of defective mtDNA, as suggested by our results, resulting in the survival of fewer mature oocytes. The increased embryonic lethality in the uaDf5 strain may be a consequence of a genetic bottleneck effect, leading to rapid differences in mtDNA allele frequencies (Floros et al., 2018; Zhang et al., 2018; Wai et al., 2008) and a subpopulation of oocytes containing levels of mtDNAuaDf5 that exceed a threshold required for viability.

We were surprised to find, in contrast to a previous report (Liau et al., 2007), that mtDNAuaDf5 did not alter lifespan. Given that mitochondrial mutations are often coupled with compensatory mutations in the nuclear genome (Zhu et al., 2019; Levin et al., 2014; Paliwal et al., 2014; Zhu et al., 2014; Meiklejohn et al., 2013), one possible explanation for this discrepancy might be that a compensatory nuclear mutation exists in the strain analyzed, diminishing the impact of the defective mitochondrial genome. We note, however, that we backcrossed the uaDf5 strain extensively to the laboratory reference strain N2 prior to performing the reported analyses. It is conceivable that although we observed no effect in the lab, uaDf5 might alter lifespan under natural conditions. Exposure to increased stress from growth in the wild might be less tolerated in animals bearing mtDNAuaDf5, as has been observed with other mitochondrial mutants (Dingley et al., 2014), resulting in diminished lifespan.

Caspases and cell death machinery regulate mitochondrial purifying selection

Our results lend support to the hypothesis that germline PCD mechanisms may be used to cull germline cells with defective mtDNA (Figure 6A). Developmentally PCD and cell death in response to genotoxic stress are mediated by caspases upon activation by the C. elegans octameric apoptosome which is formed when the inhibition of CED-4 by CED-9 is disrupted through binding of BH-3-only proteins EGL-1 and CED-13 in the soma and germline, respectively (Conradt et al., 2016; Gartner et al., 2008). While somatic cell death is blocked by the ced-9(n1950) gain-of-function mutation, normal physiological germ cell death is not (Gumienny et al., 1999). In keeping with this finding, we found no significant difference in fractional abundance of the mitochondrial deletion in the ced-9(n1950) mutant background as compared to a wildtype nuclear genetic background. We posit that in response to mitochondrial genotoxic stress (increased mtDNAuaDf5 load), the CED-3 and CSP-1 caspases are activated by the BH-3-only domain protein CED-13, thereby triggering mitochondrial purifying selection through a non-canonical germ cell death pathway, independent of CED-9 and the CED-4 apoptosome (Figure 6A).

Figure 6. Regulation of mtDNAuaDf5 accumulation and transmission by the programmed cell death (PCD) and aging pathways.

Figure 6.

(A) Our results suggest that CED-3 and CSP-1, which are activated by BH-3 only protein CED-13, function cooperatively to promote mitochondrial purifying selection, independent of CED-9 and the CED-4 apoptosome. The clearance of mtDNAuaDf5 may therefore involve induction of a non-canonical germline PCD mechanism or non-apoptotic action of the CED-13/caspase axis. Additionally, Insulin/IGF-1 signaling (IIS) and CLK-1 aging pathways act synergistically to regulate mitochondrial purifying selection. (B) mtDNAuaDf5 (red) accumulates in the germline relative to mtDNAWT (blue) as adults age and the increased mtDNAuaDf5 levels are transmitted to the progeny, although the mtDNAuaDf5 burden is consistently lower in progeny than mothers. This intergenerational purifying selection is enhanced in the older mothers of mutants with high steady-state mtDNAuaDf5 (e.g., ced-13, ced-10, and atfs-1), suggesting a threshold beyond which a germline PCD-independent mtDNA quality control process may be initiated or enhanced in these older mothers.

Mutations that eliminate the function of caspases that act in PCD result in elevated mtDNAuaDf5 levels. Two mutations affecting the p15 domain of the CED-3 caspase result in a significantly increased molar ratio of uaDf5, highlighting the importance of the p15 domain in mtDNA quality control. It is noteworthy that the two mutations that result in a more substantial effect on mtDNAuaDf5 abundance affect CED-3 structure more dramatically: ced-3(n717) results in a splicing error, and ced-3(n1286) is a nonsense mutation (Shaham et al., 1999). In contrast, ced-3(n2454), which results in a subtle (statistically insignificant) increase in mtDNAuaDf5, is a substitution predicted to impart a much weaker effect on the protein structure (Shaham et al., 1999). The effect of the ced-3(n718) allele, which resides in the prodomain of CED-3, suggests that that portion of the protein may act to inhibit mtDNA quality control. Taken together, our results suggest that CED-3 may carry out a specialized activity in mtDNA-activated PCD. We found that a second caspase, CSP-1, which plays a minor role in PCD (Denning et al., 2013; Shaham and Shaham, 1998), is also required in mtDNA quality control: a csp-1(−) knockout mutation results in increased abundance of mtDNAuaDf5 and enhances the effect of ced-3(n717), suggesting that CSP-1 may play a larger role in removal of defective mtDNA than it does in other forms of PCD. An exciting possibility is that caspases act in mtDNA quality control via a mechanism that is distinct from their normal action in PCD. Such putative roles for caspases and other mitochondrial factors in non-apoptotic mitochondrial quality control may have been co-opted during metazoan evolution with the innovation of PCD.

Analysis of additional PCD components further implicates a role for germline PCD in mitochondrial purifying selection. These include CED-13, the germline-specific PCD effector, and components of the cell corpse engulfment pathway, which activate PCD likely through a complex feedback mechanism that ensures cells destined to die proceed irreversibly through the process (Reddien and Horvitz, 2004; Hoeppner et al., 2001). In all cases, mutations in these components result in increased mtDNAuaDf5 levels. In vertebrates, mitochondrial reactive oxygen species (mtROS) trigger apoptosis via the intrinsic mitochondrial pathway (Simon et al., 2000). Interestingly, elevated mtROS promotes longevity that is in part dependent on the core cell death machinery in C. elegans, involving CED-9, CED-4, CED-3, and CED-13, but not EGL-1 (Yee et al., 2014). In that study, the authors reported that the protective effect of the cell death machinery on lifespan was independent of PCD in the soma; however, germline cell death was not characterized. Given that CED-13, and not EGL-1, is the predominant BH3-domain protein functioning in the germline (King et al., 2019) and that ablation of the germline leads to extended lifespan (Hsin and Kenyon, 1999), our findings support the possibility that germline progenitors carrying defective mitochondria selectively undergo PCD, ensuring homeostatic mtDNA copy number and health of progeny.

A striking exception to our findings was seen with mutations that eliminate the function of the pro-apoptotic regulator CED-4. Neither the ced-3(n718) mutation that disrupts the CED-3 CARD domain, which is involved in recruitment to the apoptosome by stabilizing its interaction with CED-4 (Huang et al., 2013; Dorstyn et al., 2018), nor two ced-4(−) mutations, result in increased accumulation of mtDNAuaDf5, suggesting non-canonical, CED-4-independent activation of CED-3 in mitochondrial purifying selection. It is possible that the CARD mutation (G65R) in the ced-3(n718) mutant (Shaham et al., 1999) reduces the fraction of CED-3 in complex with the apoptosome, which might release more of the protein for its role in mitochondrial purifying selection. Interestingly, the CARD linker domain has been found to have an inhibitory effect on the pro-caspase-9 zymogen (Yuan et al., 2011). ced-3(n718) could be effectively acting as a gain-of-function allele in the process of purifying selection, reflected by the lower levels of mtDNAuaDf5 in this mutant background.

It is noteworthy that CED-4 and its mammalian Apaf1 relatives regulate a variety of cellular functions that are unrelated to their activities in PCD. These include cell growth control influenced by DNA damage, centrosomal function and morphology, neuronal regeneration, and inhibition of viral replication (Zermati et al., 2007; Ferraro et al., 2011; Liu et al., 2006; Wang et al., 2019). In addition, as a result of differential RNA splicing, ced-4 encodes proteins with opposing activities, generating both an activator and a repressor of apoptosis (Chaudhary et al., 1998), which further complicates analysis of its action. Thus, it is conceivable that CED-4 might exert opposing effects on purifying selection, reflecting its pleiotropic activities in development and confounding an unambiguous interpretation of its action in this process.

IIS and CLK-1 synergistically regulate germline accumulation of mtDNAuaDf5 as adults age

We found that most of the increase in the fractional abundance of mtDNAuaDf5 as worms age throughout the period of self-fertility (days 1–4) occurs in the germline. However, the relative amount of the defective mtDNA continues to increase in older animals when the germline is no longer actively proliferating (Kimble and Crittenden, 2005), suggesting that mtDNA proliferation also occurs in somatic tissues throughout the aging process. This behavior mirrors the dynamics of mutant mtDNAs observed in other organisms, including human, mouse, rat, and rhesus monkey (Larsson, 2010; Szczepanowska and Trifunovic, 2017; Kujoth et al., 2005). However, in contrast to what is observed over the relatively long lifespan of mammals, the expansion in the burden of defective mitochondrial DNA over the span of a few days in C. elegans is likely the outcome of a need to maintain wildtype levels of mitochondrial DNA that supports the energy demands over the short but intense period of gravidity, during which a single hermaphrodite produces hundreds or thousands of progeny. The replicative advantage of the mtDNAuaDf5 deletion may impose a greater replication drive to maintain wildtype mtDNA levels, resulting in ‘runaway’ expansion of mutant mtDNA. In this scenario, the mechanisms that normally act to eliminate the defective mtDNA would be insufficient to keep up with the increased burden arising from replicative advantage. The expansion the mitochondrial deletion mutation in somatic tissues of old (day 10) post-gravid adults might be an outcome of different dynamics or even an absence of mitochondrial purifying selection mechanisms in the germline. While removal of the germline in worms results in extended lifespan (Mack et al., 2017; Libina et al., 2003), it is not clear whether, or to what extent, this increased lifespan might be attributable to accumulation of mutant mtDNA, since the lack of germline leads to a variety of cellular responses (Lapierre and Hansen, 2012; Antebi, 2013), any of which might lead to lifespan extension.

As in many other organisms, the offspring of older C. elegans mothers show increased embryonic lethality (Andux and Ellis, 2008; Scharf et al., 2021). This age-dependent lethality positively correlates with an increase in accumulation of defective mtDNA. Age-associated changes in the germline include reduced germ cell proliferation, a displaced distal tip cell, germline shrinking, reduction in oocyte production, oocyte clustering, and endomitotic oocytes (Scharf et al., 2021). We observed that gonads of mtDNAuaDf5 mutants exhibit accelerated signs of aging (not shown) and smaller brood sizes. Interestingly, long-lived mutants are associated with reduced brood sizes (Antebi, 2007; Hekimi, 2006) and extension in the period of egg production, owing to a decrease in oocyte production, as seen in daf-2(−) mutants in which sporadic embryos are laid for as late as 50 days, a more than 10-fold increase over normal (Gems et al., 1998). This effect is also seen as a consequence of caloric restriction in Eat mutants, which show an egg-laying period that lasts up to 10 days, compared to 3–5 days in the N2 laboratory strain (Pickett and Kornfeld, 2013). One of the targets of pro-longevity cues is suppression of vitellogenin expression, a major maternal energy cost (DePina et al., 2011; Murphy et al., 2003; Perez and Lehner, 2019). While vitellogenin is largely dispensable for embryogenesis, the accumulation of vitellogenin in post-reproductive animals reaches pathological levels as a consequence of autophagy-dependent degradation of the worm’s intestinal tissues, which fuels continued massive production of yolk. The complex interaction between reproductive aging, egg production, transgenerational effects of vitellogenins, and levels of mitochondrial mutation load on life and healthspan are intriguing relationships that demand further study.

Our findings do not reveal whether, or how, aging and accumulation of defective mtDNA are causally linked. However, our findings that steady-state levels of mtDNAuaDf5 are lowered in long-lived mutants (daf-2 (IIS pathway; Murphy and Hu, 2013) and clk-1 mitochondrial function; Branicky et al., 2000; Hekimi and Guarente, 2003) and that rates of its accumulation are strongly inversely correlated with lifespan extension through independent pathways, suggests that mtDNA purifying selection mechanisms are influenced by aging programs (Figure 6A). Further bolstering this potential link is our finding that short-lived mutants (daf-16 and aak-2, both involved in the IIS pathway; Murphy and Hu, 2013), show higher steady-state levels of mtDNAuaDf5. That this effect is greater in aak-2 mutants than in daf-16 mutants suggests that the AAK-2 branch of the IIS pathway influences mtDNA quality control more significantly than does the DAF-16 branch. One of the substrates of AAK-2 is SKN-1/Nrf2, a multifaceted transcription factor with roles in stress response and longevity, and one of its isoforms, SKN-1a, localizes to the mitochondrial surface (Blackwell et al., 2015), raising the possibility that AAK-2 might influence clearance of defective mtDNA through SKN-1 action. It will be of interest to assess how defective mtDNA might coordinately trigger quality control and stress-response pathways.

Our observation that IIS pathway components and CLK-1 act synergistically on the mtDNA quality control machinery raises the possibility that these two distinct lifespan-regulating pathways converge on a common system for removal of defective mtDNA, such as a global mitochondrial stress response pathway. Candidates for mediating this removal process include mitochondrial fission/fusion (Ni et al., 2015; Tilokani et al., 2018; Youle and van der Bliek, 2012), mitophagy (Ashrafi and Schwarz, 2013; Youle and Narendra, 2011; Twig et al., 2008), and the UPRMT (Rolland et al., 2019; Münch, 2018; Callegari and Dennerlein, 2018; Gitschlag et al., 2016; Nargund et al., 2012; Lin et al., 2016), all of which are known to act in mtDNA quality control, as well as modulation of the regulatory pathway for PCD, as suggested by our findings. It is possible that along with delaying germ cell replication, aging programs could also slow the replication of mtDNA thereby possibly attenuating the runaway replicative advantage of mtDNA harboring large deletions like uaDf5 thereby reducing the fractional abundance of mtDNAuaDf5.

PCD is uncoupled from aging during intergenerational mitochondrial purifying selection in older mothers

Analysis of newly hatched L1 larvae revealed that the relative load of mtDNAuaDf5 is transmitted from mother to offspring, with evidence for intergenerational purifying selection (Figure 6B). This finding implies that mtDNA quality control occurs between germline stem cell expansion in the mature female germline and L1 hatching, a developmental period that spans many potential stages at which it might occur, including germline PCD, oocyte maturation, and the entirety of embryogenesis. It is conceivable that this selection process acts at multiple stages throughout this developmental window and that the decreased burden of defective mtDNA in newly hatched L1 larvae reflect the summation of a series of sequentially acting processes that incrementally enrich for healthy mtDNA.

The efficacy of intergenerational removal of mtDNAuaDf5 increases in old mothers, including in strains lacking pro-apoptotic regulators. The clearance is particularly precipitous in strains with a very high burden of defective mtDNA as seen in the absence of CED-13, CED-10, and ATFS-1, suggesting a critical threshold beyond which a germline PCD-independent mtDNA quality control process may be triggered in these older mothers (Figure 6B). One possible explanation for this observation is that an mtDNA purifying selection mechanism that is typically inhibited by germline PCD might be activated in older mothers. This hypothesized purifying selection mechanism might be triggered by the unique cellular environment associated with aging such as increased organelle or macromolecule damage. Alternatively, the effect might be the result of an age-dependent genetic program.

While our study has uncovered new mechanisms acting in mtDNA purifying selection and its relationship to aging, it is of note that some level of mtDNAuaDf5 is maintained in all but the most extreme conditions we have observed (e.g., in the daf-2(e1391) clk-1(qm30) double mutant, in which the defective mtDNA is extirpated). This finding raises the possibility that some degree of heteroplasmy, even with defective mtDNA, is not only tolerated, but may be adaptive by providing a degree of evolutionary plasticity. Cells might purposefully allow for limited heteroplasmy as a way of increasing genetic heterogeneity that might prove evolutionarily advantageous. Such heterogeneity may also be essential to allow mtDNA to co-evolve with changes arising in the nuclear genome. It may be that a dynamic balance between active mtDNA purifying selection, including the mechanisms identified here, and the permissibility of limited heteroplasmy, is modulated according to environmental or physiological demands.

Materials and methods

Culturing of nematodes

Nematode strains were maintained on NGM plates as previously described at either 20 or 15°C for the temperature-sensitive strains (Stiernagle, 2006). Supplementary files 13 and 4 provide details of all strains used in this study. Strains without a JR designation were either provided by the CGC which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440) or were obtained from the Mitani lab (strains with a FX designation or JR strains containing alleles with a tm designation were generated from Mitani lab strains) (Barstead et al., 2012).

Population collection by age

Upon retrieval of a stock plate for a given strain, three chunks were taken from the stock plate and placed onto three separate large NGM plates to create three biological replicates (lines). Each of these lines was chunked approximately each generation to fresh large NGM plates (every 3 days if maintained at 20 or 25°C, or every 4 days if maintained at 15°C, being careful to not let the worms starve between chunks). After four generations of chunks, an egg prep was performed on each line (as described previously; Stiernagle, 2006) and left to spin in M9 overnight to synchronize the hatched L1s. The next day, each egg prep was plated onto three large seeded plates at an equal density and the worms were left to grow to day 2 adults (second day of egg laying). The day 2 adult worms were egg prepped for synchronization and left to spin in M9 buffer overnight. The next day, each egg prep was plated onto five large NGM plates at equal density. Once the worms reached day 1 of adulthood (first day of egg-laying), one of the plates was used to collect 200 adult worms by picking into 400 μl of lysis buffer, and the remaining adults on the plate were egg prepped for the collection of hatched L1 larvae in 400 μl lysis buffer the following day. The worms on the four remaining plates were transferred to a 40-μm nylon mesh filter in order to separate the adults from the progeny, and the resulting adults were resuspended in M9 and pipetted onto fresh large NGM plates. This process was repeated for the following 3 days (days 2–4 of adulthood). Day 5–10 adults were moved to fresh NGM plates every second day using a 40-μm nylon mesh filter, and the resulting day 10 adults were collected in lysis buffer.

ddPCR

The worm lysates were incubated at 65°C for 4 hr and then 95°C for 30 min to deactivate the proteinase K. Each lysate was diluted; 100-fold for 200 worm adult population lyses, 2-fold for 200 worm L1 population lyses, and 25-fold for individual adult lyses. 2 μl of the diluted lysate was then added to 23 μl of the ddPCR reaction mixture, which contained a primer/probe mixture and the ddPCR probe supermix with no dUTP. The primers used were:

  • WTF: 5′-GAGGGCCAACTATTGTTAC-3′

  • WTR: 5′-TGGAACAATATGAACTGGC-3′

  • UADF5F: 5′-CAACTTTAATTAGCGGTATCG-3′

  • UADF5R: 5′-TTCTACAGTGCATTGACCTA-3′

The probes used were:

  • WT: 5′-HEX-TTGCCGTGAGCTATTCTAGTTATTG-Iowa Black FQ-3′

  • UADF5: 5′-FAM-CCATCCGTGCTAGAAGACAAAG-Iowa Black FQ-3′

The ddPCR reactions were put on the Bio-Rad droplet generator and the resulting droplet-containing ddPCR mixtures were run on a Bio-Rad thermocycler with the following cycle parameters, with a ramp rate of 2°C/s for each step:

  1. 95°C for 5 min

  2. 95°C for 30 s

  3. 60°C for 2 min

  4. Repeat steps 2 and 3 40×

  5. 4°C for 5 min

  6. 90°C for 5 min

After thermocycling, the ddPCR reaction plate was transferred to the Bio-Rad droplet reader and the Quantasoft software was used to calculate the concentration of mtDNAuaDf5 (FAM positive droplets) and mtDNAWT (HEX positive droplets) in each well.

Lifespan analysis

Confluent large plates were egg prepped and left to spin in M9 overnight for synchronization. The hatched L1s were plated onto large thick plates and allowed to grow to day 2 adults before being egg prepped a second time and left to spin in M9 overnight. The next morning, referred to as day 1 for lifespan determination, L1s were singled out onto small plates. Once the worms started laying eggs, they were transferred each day to a fresh small plate until egg laying ceased, after which the worms remained on the same plate unless bacterial contamination required transfer to a fresh plate. Worms were considered dead if there was no movement after being lightly prodded with a worm pick. Worms that died due to desiccation on the side of the plate were excluded from analysis.

Brood size and embryonic lethality analysis

Confluent large plates were egg prepped and left to spin in M9 overnight for synchronization. The hatched L1s were plated onto large thick plates and allowed to grow to day 2 adults before being egg prepped a second time and left to spin in M9 overnight. The next morning, L1s were singled out onto small plates. Once the worms started laying eggs, they were transferred each day to a fresh small plate until egg laying ceased. The day after transfer to a fresh plate, unhatched embryos and hatched larvae on the plate from the previous day were counted. This was done for each of the days of laying and the total of unhatched embryos and hatched larvae from all plates from a single worm were tabulated to determine total brood size. To determine embryonic lethality, the total number of unhatched embryos was divided by the total brood size. Worms that died due to desiccation on the side of the plate were excluded from analysis.

Developmental time course analysis

Confluent large plates were egg prepped and left to spin in M9 overnight for synchronization. The hatched L1s were plated onto large thick plates and allowed to grow to day 2 adults before being egg prepped a second time and left to spin in M9 overnight. The next morning, L1s were singled out onto small plates. The stage of the worms was assayed every 12 hr for the first 72 hr after plating. For determining the stage at 60 hr, L4 worms were divided up into three subgroups based on morphology: young-L4, mid-L4, and late-L4; otherwise, all other staged worms were not divided up into subgroups. Worms that died due to desiccation on the side of the plate were excluded from analysis.

Genotyping the w47 allele

DNA was collected from reference strain (N2) and two uaDf5-containing strains, LB138 and JR3630. Mitochondrial DNA was extracted and the DNA libraries were prepared using Nextera Kit and then sequenced using an Illumina NextSeq500. Prior to alignment, reads from fastq files were trimmed using Trimmomatic. Trimmed, pair-end reads (2 × 150) were then mapped to the C. elegans assembly reference sequence WBcel235 using Burrows-Wheeler Aligner (BWA) (Li and Durbin, 2009). Picard Tools (http://broadinstitute.github.io/picard/) was used to mark duplicate reads, and SAMtools (Li et al., 2009) was used to merge, index, and create pile-up format. VarScan (Koboldt et al., 2009) was used to call variants, and only variants with minimum coverage of 100 and a minimum variant frequency call of 0.01 were considered for analysis.

Statistical analysis

Summary statistics, analysis of variance, Mann–Whitney tests, and linear regression were calculated using R v3.4.1. The details of the statistical tests are reported in the figure legends.

Acknowledgements

We would like to thank the members of the Rothman lab for their support. We thank Jen Smith and the BNL at UCSB for providing excellent facilities which were necessary for this work. We thank Kyle Ploense for his help in statistical analysis. Worm strains used in this work were provided by the Mitani lab, as well as the Caenorhabditis Genetics Center (CGC), which is funded by NIH Office of Research Infrastructure Programs Grant P40 OD010440. Funding. This work was supported by the grants from the National Institutes of Health (#R01HD082347, #R01HD081266, #R01GM143771, and #R21AG068915).

Funding Statement

The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.

Contributor Information

Pradeep M Joshi, Email: joshi@ucsb.edu.

Joel H Rothman, Email: joel.rothman@lifesci.ucsb.edu.

Jan Gruber, Yale-NUS College, Singapore.

Benoît Kornmann, University of Oxford, United Kingdom.

Funding Information

This paper was supported by the following grants:

  • National Institutes of Health R01HD082347 to Sagen Flowers, Joel H Rothman.

  • National Institutes of Health R01HD081266 to Sagen Flowers, Rushali Kothari, Yamila N Torres Cleuren, Melissa R Alcorn, Chee Kiang Ewe, Geneva Alok, Samantha L Fiallo, Pradeep M Joshi, Joel H Rothman.

  • National Institutes of Health R01GM143771 to Chee Kiang Ewe, Geneva Alok, Samantha L Fiallo, Pradeep M Joshi, Joel H Rothman.

  • National Institutes of Health R21AG068915 to Sagen Flowers, Rushali Kothari, Joel H Rothman.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing.

Investigation, Writing - review and editing.

Investigation, Writing - review and editing.

Formal analysis, Writing - review and editing.

Writing - review and editing.

Writing - review and editing.

Writing - review and editing.

Conceptualization, Supervision, Investigation, Writing - review and editing.

Conceptualization, Supervision, Funding acquisition, Writing - review and editing.

Additional files

Supplementary file 1. A summary of all mutants analyzed in the PCD pathway, including their known homologs, whether they are part of the core PCD machinery, if they are pro- or anti-apoptotic, whether they are mitochondrial proteins, and molecular details of the alleles analyzed.
elife-79725-supp1.docx (15.3KB, docx)
Supplementary file 2. Wildtype and mutant mtDNA levels in the different cell death and aging pathway mutants.

(mean of 3 replicates ± standard deviation).

elife-79725-supp2.docx (15.3KB, docx)
Supplementary file 3. A summary of all lifespan mutants analyzed, including their known homologs, cellular pathways they are known to act in, whether the mutant extends or reduces lifespan, and molecular details of the alleles analyzed.
elife-79725-supp3.docx (14.8KB, docx)
Supplementary file 4. C. elegans strains used in this study.
elife-79725-supp4.docx (14.4KB, docx)
MDAR checklist

Data availability

All data generated or analyzed during this study are included in this article and accompanied supplementary materials. The raw reads of the sequenced N2, LB138, and JR3688 genomes have been deposited at the NCBI SRA under the study accession number PRJNA836592.

The following dataset was generated:

Flowers S. 2022. C. elegans uaDf5 sequencing. NCBI Sequence Read Archive. PRJNA836592

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Editor's evaluation

Jan Gruber 1

This valuable work suggests a novel mechanism of purifying selection by which programmed cell death contributes to the selective removal of mtDNA deletion mutations in C. elegans. The authors demonstrate with convincing evidence that mtDNA deletion is more abundant in the offspring of older mothers and that activators for programmed cell death are required to suppress the accumulation of defective mtDNA in the germline of C. elegans. Because of the likely central role of mtDNA deletions in aging and age-dependent diseases, this work will be of interest to scientists in the field of mitochondrial biology as well as aging.

Decision letter

Editor: Jan Gruber1

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Regulation of defective mitochondrial DNA accumulation and transmission in C. elegans by the programmed cell death and aging pathways" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Benoît Kornmann as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers were generally enthusiastic about this manuscript and the novelty of the proposed mechanism. There was agreement that the work will be of wide interest but the reviewers also pointed out limitations and suggested some further work. The Reviewing Editor has collated these into the following numbered list of questions and essential revisions:

1. As noted in the public review, the lack of readouts on the copy numbers of mtDNA (mutant and WT) makes it difficult to pinpoint the overall effects of molecular KO of PCD machinery as well as perturbations to aging pathways on mtDNA quality control in the germline. I strongly recommend having data of these copy numbers or their proxies, which hopefully can be extracted from ddPCR data and can be compared among different strains. With these data, a clearer and more definitive view of the regulation of mtDNA quality control in the germline will emerge.

2. Based on the mutant-to-WT ratio data, another explanation for the role of PCD cannot be rejected. In this alternative explanation, stochastic cell divisions and mitochondrial dynamics (biogenesis, degradation, fusion-fission) produce cells with different mutant mtDNA abundances. Cells harboring a high level of the mutant are generated randomly which are then removed via PCD. A dysfunctional PCD will lead to an increased steady-state mutant-to-WT ratio as reported, since cells with a high mtDNA mutant burden remain in the population. But, an overall increase of PCD without a concomitant increase in the rate of generation of cells with a high mutant burden will presumably lead to a general increase in the removal of cells without regard of their mutant burden. This will keep the steady-state mutant-to-WT ratio in the germline unchanged, as reported. Unlike what is stated in Finding #2 in the Discussion, PCD does NOT have any non-canonical / non-apoptotic role in the selection of cells to be removed.

3. Are there data to support the selective removal of cells with a high burden of mutant mtDNA uaDf5? At what ratio of mutant-to-WT mtDNA do we expect to see this preferential removal?

4. Ideally, data on the apoptotic activity should also be provided, especially in the connection to aging and aging pathways. It is rather surprising that the connection between aging and PCD is not explored more deeply in this study. How does aging affect PCD in C. elegans carrying mutant mtDNA uaDf5, and does this effect explain the age-related increase of mutant-to-WT mtDNA ratio?

5. The authors should discuss how the egg-laying rate of long-living C. elegans over different ages might play a role in the overt increase of mutant-to-WT ratio? Many of these long-living mutants have an altered (delayed and/or extended) egg-laying period. How might this affect the mtDNA deletion dynamics?

6. The continued increase of the fractional abundance of mutant mtDNA uaDf5 beyond day 4 is quite interesting and surprising, especially considering the increase spanned only 6 days (day 4 to day 10). This short span is starkly different from the time span for mtDNA mutant accumulation in organisms like human, mouse, rat, and rhesus monkey (possibly over months to years). Measurements of WT and mutant copy numbers may reveal what underlies such observation.

One difference here is the possibly initial burden of mutation as the expansion of intrinsic (initially extremely low copy number) mtDNA deletions has been suggested to be extremely slow/rare in C. elegans.

7. It was surprising to learn that uaDf5 maintenance does not depend on complementing a mutation in other copies of mtDNA. An alternative explanation might be that uaDf5 has a replication advantage over wt mtDNA. This should be addressed.

8. Related to 7, although less likely, it is also possible that long-lived mutants have slower and thus more tightly controlled mtDNA replication, allowing for preferential replication of wt mtDNA.

9. Potential effects of the long-lived mutants on mitophagy and its role in the clearance of defective mitochondria is not addressed, even though that could explain the observed effects of the long-lived mutants on uaDf5 clearance.

10. If a bottleneck at a late stage is responsible for culling the excess mutant mtDNA in the PCD mutants, then the effects would be stochastic (with a large SD) rather than yielding consistent numbers as are observed with this mutant. This prediction could potentially be addressed by a simplified stochastic model of mtDNA turnover?

11. It would be interesting to know whether cps-6/endoG also contributes to the removal of mutant mtDNA independent of PCD.

12. The last part of the Results section describing inter-generation removal is written in a very confusing manner. It would help if the inter-generational removal in Figure 3C is combined with Figure 5.

Reviewer #1 (Recommendations for the authors):

It was surprising to learn that uaDf5 maintenance does not depend on complementing a mutation in other copies of mtDNA. An alternative explanation might be that uaDf5 has a replication advantage over wt mtDNA. This should be addressed.

Potential effects of the long-lived mutants on mitophagy and its role in clearance of defective mitochondria is not addressed, even though that could explain the observed effects of the long-lived mutants on uaDf5 clearance.

Although less likely, it is also possible that long-lived mutants have slower and thus more tightly controlled mtDNA replication, allowing for preferential replication of wt mtDNA.

If a bottleneck at a late stage is responsible for culling the excess mutant mtDNA in the PCD mutants, then the effects would be stochastic (with a large SD) rather than yielding consistent numbers as are observed with this mutant.

It would be interesting to know whether cps-6/endoG also contributes to removal of mutant mtDNA independent of PCD.

The last part of the Results section describing intergeneration removal is written in a very confusing manner. It would help if the intergenerational removal in Figure 3C is combined with Figure 5.

Reviewer #2 (Recommendations for the authors):

1. As noted in the public review, the lack of readouts on the copy numbers of mtDNA (mutant and WT) makes it difficult to pinpoint the overall effects of molecular KO of PCD machinery as well as perturbations to aging pathways on mtDNA quality control in the germline. I strongly recommend having data of these copy numbers or their proxies, which hopefully can be extracted from ddPCR data and can be compared among different strains. With these data, a clearer and more definitive view on the regulation of mtDNA quality control in the germline will emerge.

2. Based on the mutant-to-WT ratio data, another explanation for the role of PCD cannot be rejected. In this alternative explanation, stochastic cell divisions and mitochondrial dynamics (biogenesis, degradation, fusion-fission) produce cells with different mutant mtDNA abundances. Cells harboring a high level of mutant are generated randomly which are then removed via PCD. A dysfunctional PCD will lead to increased steady-state mutant-to-WT ratio as reported, since cells with a high mtDNA mutant burden remain in the population. But, an overall increase of PCD without a concomitant increase in the rate of generation of cells with a high mutant burden will presumably lead to a general increase in the removal of cells without regards of their mutant burden. This will keep the steady-state mutant-to-WT ratio in the germline unchanged, as reported. Unlike what is stated in Finding #2 in Discussion, PCD does NOT have any non-canonical / non-apoptotic role in the selection of cells to be removed.

3. Are there data to support the selective removal of cells with high burden of mutant mtDNA uaDf5? At what ratio of mutant-to-WT mtDNA do we expect to see this preferential removal?

4. Ideally, data of apoptotic activity should also be provided, especially in the connection to aging and aging pathways. It is rather surprising that the connection between aging and PCD is not explored more deeply in this study. How does aging affect PCD in C. elegans carrying mutant mtDNA uaDf5, and does this effect explain the age-related increase of mutant-to-WT mtDNA ratio?

5. Related to the claimed accumulation of mtDNA mutant during aging, the increased ratio of mutant-to-WT could be explained differently. In this alternative explanation, oocytes with lower mutant-to-WT ratio are preferentially laid before those with higher mutant-to-WT ratio. Over time, the oocytes remaining in mothers will have an increasing mutant-to-WT ratio, and thus the oocytes will follow the same trend. We may not be able to reject this alternative explanation until we have data on mtDNA copy numbers in the germline over different ages. Note that an increase in the ratio of mutant-to-WT with age cannot be interpreted immediately as an accumulation of mutant mtDNA-a term that implies a preferential production / replication of mutant mtDNA over WT mtDNA.

6. How does the egg-laying rate of long-living C. elegans over different ages play a role in the overt increase of mutant-to-WT ratio? Many of these long-living mutants have altered (delayed and/or extended) egg-laying period.

7. The continued increase of fractional abundance of mutant mtDNA uaDf5 beyond day 4 is quite interesting and surprising, especially considering the increase spanned only 6 days (day 4 to day 10). This short span is starkly different from the time span for mtDNA mutant accumulation in organisms like human, mouse, rat and rhesus monkey (possibly over months to years). Measurements of WT and mutant copy numbers may reveal what underlies such observation.

eLife. 2023 Oct 2;12:e79725. doi: 10.7554/eLife.79725.sa2

Author response


Essential revisions:

The reviewers were generally enthusiastic about this manuscript and the novelty of the proposed mechanism. There was agreement that the work will be of wide interest but the reviewers also pointed out limitations and suggested some further work. The Reviewing Editor has collated these into the following numbered list of questions and essential revisions:

1. As noted in the public review, the lack of readouts on the copy numbers of mtDNA (mutant and WT) makes it difficult to pinpoint the overall effects of molecular KO of PCD machinery as well as perturbations to aging pathways on mtDNA quality control in the germline. I strongly recommend having data of these copy numbers or their proxies, which hopefully can be extracted from ddPCR data and can be compared among different strains. With these data, a clearer and more definitive view of the regulation of mtDNA quality control in the germline will emerge.

We agree that these copy number data are very important and should have been included in the original manuscript. This appears to be the major concern noted in the reviews. In response to this concern, we have added the requested data throughout the revision, and modified the figures accordingly to incorporate these new results (modified Figures 2, 3, and 4). These data indicate that, in most cases, there is a variable and at most modest increase in the overall copy number of the normal mtDNA (mtDNAWT) across the various genetic backgrounds, as we describe in the revised text and the new Supplementary Table 1. These data do not alter, but provide more definitive support for, the key conclusions of the paper.

2. Based on the mutant-to-WT ratio data, another explanation for the role of PCD cannot be rejected. In this alternative explanation, stochastic cell divisions and mitochondrial dynamics (biogenesis, degradation, fusion-fission) produce cells with different mutant mtDNA abundances. Cells harboring a high level of the mutant are generated randomly which are then removed via PCD. A dysfunctional PCD will lead to an increased steady-state mutant-to-WT ratio as reported, since cells with a high mtDNA mutant burden remain in the population. But, an overall increase of PCD without a concomitant increase in the rate of generation of cells with a high mutant burden will presumably lead to a general increase in the removal of cells without regard of their mutant burden. This will keep the steady-state mutant-to-WT ratio in the germline unchanged, as reported. Unlike what is stated in Finding #2 in the Discussion, PCD does NOT have any non-canonical / non-apoptotic role in the selection of cells to be removed.

We agree with this explanation and, in fact, believe that it is a likely mechanism explaining the requirement for the cell death machinery. We have revised the discussion to clarify that mitochondrial stress may indeed activate germ cell death. As we explain, such a stress pathway appears to be independent of CED-4, in contrast to physiological and genotoxic stress-induced germ cell death, both of which are dependent on both CED-3 and CED-4. We therefore propose that this process may act through a non-canonical cell death pathway (lines 459, 513-520), an exciting possibility that will be pursued in follow-up studies.

3. Are there data to support the selective removal of cells with a high burden of mutant mtDNA uaDf5? At what ratio of mutant-to-WT mtDNA do we expect to see this preferential removal?

These are fascinating and important questions that will require extensive future investigations. The correlative information indicated in Figure 2A does indeed suggest the possibility that a threshold event occurs. However, investigating whether a critical mutant-to-WT ratio results in cell removal will require quantitatively analyzing mutant and WT mtDNA levels in individual cells dynamically over time and assessing the fates of cells (e.g., death or not) with different ratios. Such experiments require development of advanced new techniques. While these complex questions are certainly of high interest, they represent an entirely new methodological approach and are well beyond the scope of the current paper (see footnote regarding additional studies below1).

4. Ideally, data on the apoptotic activity should also be provided, especially in the connection to aging and aging pathways. It is rather surprising that the connection between aging and PCD is not explored more deeply in this study. How does aging affect PCD in C. elegans carrying mutant mtDNA uaDf5, and does this effect explain the age-related increase of mutant-to-WT mtDNA ratio?

These are certainly important and interesting questions that we are in the process of investigating. However, the paper is already quite extensive (please note that, as reviewer #2, stated, the paper is a “comprehensive exploration of the role of key molecules”) and these questions require new lines of investigation that are well beyond the scope of the paper. The findings from such studies, which will require additional person-years, would not change the fundamental conclusions of the current study and therefore are appropriate for a subsequent.

5. The authors should discuss how the egg-laying rate of long-living C. elegans over different ages might play a role in the overt increase of mutant-to-WT ratio? Many of these long-living mutants have an altered (delayed and/or extended) egg-laying period. How might this affect the mtDNA deletion dynamics?

This issue has now been discussed in the revision (lines 526-614).

6. The continued increase of the fractional abundance of mutant mtDNA uaDf5 beyond day 4 is quite interesting and surprising, especially considering the increase spanned only 6 days (day 4 to day 10). This short span is starkly different from the time span for mtDNA mutant accumulation in organisms like human, mouse, rat, and rhesus monkey (possibly over months to years). Measurements of WT and mutant copy numbers may reveal what underlies such observation.

One difference here is the possibly initial burden of mutation as the expansion of intrinsic (initially extremely low copy number) mtDNA deletions has been suggested to be extremely slow/rare in C. elegans.

We agree with the reviewer that these are interesting results. These data requested by the reviewer have now been incorporated into the revised manuscript and in Figure 3. The results suggest that there is indeed some progressive expansion of mtDNA over several days of adulthood. It is therefore possible that replicative advantage of the uaDf5-bearing mtDNA during this expansion phase might account for the increased burden of the defective mtDNA. In such an event, the mechanisms that normally act to eliminate the defective mtDNA (including PCD, as described here, and possibly mitophagy) must be insufficient to keep up with the increased burden. In the revised manuscript, we now discuss these new data and important issues in the Results (lines 321-324) and the Discussion (lines 581-591).

7. It was surprising to learn that uaDf5 maintenance does not depend on complementing a mutation in other copies of mtDNA. An alternative explanation might be that uaDf5 has a replication advantage over wt mtDNA. This should be addressed.

We fully agree; in fact, replicative advantage is exactly the mechanism that we believe most likely explains the stable heteroplasmy of mtDNAuaDf5. We regret that we did not sufficiently emphasize this point in the original manuscript and have now explicitly included it in the revision (lines 476483).

8. Related to 7, although less likely, it is also possible that long-lived mutants have slower and thus more tightly controlled mtDNA replication, allowing for preferential replication of wt mtDNA.

As noted in the response to comment #6 above, there is an increase in total mtDNA with age and replicative advantage of mtDNAuaDf5 during this expansion might indeed result in insufficient removal of the defective DNA. Thus, if the long-lived mutants have slower rates of replication, the potential replicative advantage of the defective mtDNA might be attenuated, accounting for at least some of the effect we have observed. However, while this might provide a partial explanation for our findings, the fractional representation of mtDNAuaDf5 is dramatically decreased in the longlived mutants, suggesting that other processes are also likely to contribute to the effect. We have now included a passage that discusses these possibilities in the revised Discussion [635-638].

9. Potential effects of the long-lived mutants on mitophagy and its role in the clearance of defective mitochondria is not addressed, even though that could explain the observed effects of the long-lived mutants on uaDf5 clearance.

In the revised Discussion, we now discuss the possibility that the aging program might affect mitophagy.

10. If a bottleneck at a late stage is responsible for culling the excess mutant mtDNA in the PCD mutants, then the effects would be stochastic (with a large SD) rather than yielding consistent numbers as are observed with this mutant. This prediction could potentially be addressed by a simplified stochastic model of mtDNA turnover?

As noted by the reviewers, the effects do not show the large variation that would be consistent with such a possibility. While it would be of some interest to initiate stochastic modeling, our results do not suggest that such a late bottleneck occurs on the basis of this low fluctuation and such modeling is not essential for any of the conclusions presented in the paper. As such, this direction would not be of sufficiently high priority to hold off publication until it has been done. Further, such a modeling effort would require an entirely new direction, including bringing additional expertise to the project, which would pose the challenge of many person-months, if not person-years (see also footnote regarding additional studies below1).

11. It would be interesting to know whether cps-6/endoG also contributes to the removal of mutant mtDNA independent of PCD.

This manuscript already reports two different mechanisms that modulate loss of defective mtDNA (the PCD and aging pathways). There are many potential additional contributors to the processes that remove defective mtDNAs and we agree that CPS-6/endoG may be one of them. However, while CPS-6 is an interesting candidate, it is not a standout priority among many such potential candidates. While testing CPS-6, and many other possible candidates, is of interest for future studies, these additional experiments are not required to support any of the major findings or claims in the paper. In future studies, we and other labs will be testing many other candidates. While identifying yet more players in the process will be interesting and informative in future studies, the paper already presents a substantial amount of data and findings and we believe that the results and conclusions that we present stand strongly on their own. (See also footnote regarding additional studies below1.)

12. The last part of the Results section describing inter-generation removal is written in a very confusing manner. It would help if the inter-generational removal in Figure 3C is combined with Figure 5.

We regret the confusing text and have revised this section to improve the clarity (lines 440 -445) regarding inter-generational removal.

Moving Figure 3C to later in the paper is problematic because it is important at that earlier stage in the text to show the Day 1-3 data demonstrating the intergenerational removal. We believe our revisions to the last section of the Results now clarify the text that led to confusion and do not require moving Figure 3C.

Associated Data

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

    Data Citations

    1. Flowers S. 2022. C. elegans uaDf5 sequencing. NCBI Sequence Read Archive. PRJNA836592

    Supplementary Materials

    Figure 1—figure supplement 1—source data 1. ddPCR reads of mitochondrial DNA.
    Supplementary file 1. A summary of all mutants analyzed in the PCD pathway, including their known homologs, whether they are part of the core PCD machinery, if they are pro- or anti-apoptotic, whether they are mitochondrial proteins, and molecular details of the alleles analyzed.
    elife-79725-supp1.docx (15.3KB, docx)
    Supplementary file 2. Wildtype and mutant mtDNA levels in the different cell death and aging pathway mutants.

    (mean of 3 replicates ± standard deviation).

    elife-79725-supp2.docx (15.3KB, docx)
    Supplementary file 3. A summary of all lifespan mutants analyzed, including their known homologs, cellular pathways they are known to act in, whether the mutant extends or reduces lifespan, and molecular details of the alleles analyzed.
    elife-79725-supp3.docx (14.8KB, docx)
    Supplementary file 4. C. elegans strains used in this study.
    elife-79725-supp4.docx (14.4KB, docx)
    MDAR checklist

    Data Availability Statement

    All data generated or analyzed during this study are included in this article and accompanied supplementary materials. The raw reads of the sequenced N2, LB138, and JR3688 genomes have been deposited at the NCBI SRA under the study accession number PRJNA836592.

    The following dataset was generated:

    Flowers S. 2022. C. elegans uaDf5 sequencing. NCBI Sequence Read Archive. PRJNA836592


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