Abstract
WD repeat and FYVE domain-containing 3 (WDFY3; also known as Autophagy-Linked FYVE or Alfy) is an identified intellectual disability, developmental delay and autism risk gene. This gene encodes for a scaffolding protein that is expressed in both the developing and adult central nervous system and required for autophagy and aggrephagy with yet unexplored roles in mitophagy. Given that mitochondrial trafficking, dynamics and remodeling have key roles in synaptic plasticity, we tested the role of Wdfy3 on brain bioenergetics by using Wdfy3+/lacZ mice, the only known Wdfy3 mutant animal model with overt neurodevelopmental anomalies that survive to adulthood. We found that Wdfy3 is required for sustaining brain bioenergetics and morphology via mitophagy. Decreased mitochondrial quality control by conventional mitophagy was partly compensated for by the increased formation of mitochondria-derived vesicles (MDV) targeted to lysosomal degradation (micromitophagy). These observations, extended through proteomic analysis of mitochondria-enriched cortical fractions, showed significant enrichment for pathways associated with mitophagy, mitochondrial transport and axon guidance via semaphorin, Robo, L1cam and Eph-ephrin signaling. Collectively, our findings support a critical role for Wdfy3 in mitochondrial homeostasis with implications for neuron differentiation, neurodevelopment and age-dependent neurodegeneration.
Introduction
The human central nervous system has relatively high energy demands, with approximately 20% of total metabolic expenditure being incurred by about 2% of body mass. The majority of this energy is spent on the principal neuronal function of firing action potentials and neuronal communication through chemical synapses by providing support to the Na+, K+-ATPase1. Mitochondria, via the generation of adenosine triphosphate (ATP) through a process named oxidative phosphorylation (OXPHOS), sustains the Na+, K+-ATPase activity and cellular growth and proliferation. Based on the critical role of mitochondria in neurons, mitochondrial dysfunction has been associated with several neurological and neurodevelopmental disorders as well as major psychiatric illnesses, including depression2, schizophrenia3 and autism spectrum disorder (ASD)4. Adequate mitochondrial function relies on the fine balance between mitochondrial biogenesis and the selective autophagic clearance of damaged mitochondria or mitophagy5. Remarkably, these processes not only preside mitochondrial morphology and number per cell, but also cellular bioenergetics. It is therefore not unreasonable to hypothesize that deficits in mitophagy could be associated with impaired cellular energetic balance6 and importantly, with clinically significant psychiatric and neurological disorders7.
Among the autophagy-regulating factors that play a role in neurodevelopment, brain function and mental health, Wdfy3 (WD repeat and FYVE domain-containing 3, also known as autophagy-linked FYVE or Alfy) is of particular interest. Human WDFY3 has been shown to be a risk gene for intellectual and developmental disabilities8, and has been associated with familial microcephaly9 as well as ASD with macrocephaly10–12. Wdfy3 encodes a key adaptor molecule in autophagy likely involved in autophagosome to lysosome fusion13. Wdfy3 belongs to the BEACH (BEige And CHS proteins) protein family and contains, in addition to its BEACH domain, five WD40 repeats and a C-terminal FYVE (Fab1/YOTB/Vac1/EEA1) domain14 (Fig. 1A). Wdfy3 has been shown to interact directly with the lipid membrane component phosphatidylinositol 3-phosphate through its FYVE domain14, with Atg5 through its WD repeats (WDR)13, and with the ubiquitin-binding protein P62/Sqstm1 via its BEACH domain15 (Fig. 1A). In particular, Wdfy3’s interaction with Atg5 connects it with the core macroautophagic machinery through a greater network that involves additional components, including Atg12, Atg16L and LC3 (Fig. 1B). While the exact function of the Wdfy3 BEACH domain is still not completely understood, some insight arises from our previous studies on Wdfy3disc mice, an animal model that lacks both WD40 repeats and the zinc-finger-FYVE domain (stop at amino acid 3064), but still preserves the BEACH domain resulting in a substantially milder phenotype compared to the Wdfy3lacZ mice [with disruption at amino acid 191, and hence missing BEACH domain, WD40 repeats and zinc-finger-FYVE domain; Fig. 1A)16]. Gene ontology analysis of Wdfy3-associated biological pathways shows significant involvement of Wdfy3 in macroautophagy, but also in selective autophagy (Fig. 1C), a process that involves the elimination of specific cellular structures, which if not properly removed, could lead to cellular damage (e.g., mitophagy, nucleophagy, among others; Fig. 1C).
Recent findings on WDR- and BEACH-containing proteins have shed light on their involvement in neurological diseases. WDR40-47, a microtubule-associated protein, is relevant for both autophagy and brain development17, and among the >200 WDR genes annotated in both human and murine genomes, mutations in ~10% of the WDR genes have been implicated in brain disorders, including intellectual disability17. Homozygous genetic ablation of Wdfy3 in mice leads to perinatal lethality and global long-range connectivity defects18. Loss of bchs, the Wdfy3 homologous protein in Drosophila (Fig. 2A), results in altered endolysosomal transport, neurodegeneration and shorter lifespan19, comparable to some human neurodegenerative disorders [e.g., Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), Wallerian neurodegeneration and spastic paraplegia]. Deficits or pathogenic mutations in BEACH-containing proteins other than WDFY3 in humans (Fig. 2B) are associated with bipolar disorder, schizophrenia, epilepsy, ASD, and neurodegenerative diseases, such as AD, ALS and Parkinson’s disease (Fig. 2B).
In the present studies, we investigated the role of Wdfy3 on selective autophagy (mitophagy) by utilizing Wdfy3+/lacZ mice, the only known heterozygous Wdfy3 mouse model that displays overt neurodevelopmental anomalies and that also survive to adulthood16. The rationale for our search for potential deficits in mitochondrial function of Wdfy3 haploinsufficiency is based on (i) the high expression of Wdfy3 in both the developing central nervous system and adult brain18; (ii) the critical role of mitochondrial fatty acid β-oxidation at controlling the transition from neural stem cells (NSC) to intermediate progenitor cells (IPC) in the mammalian neocortex20; and (iii) the premise that clearance of damaged mitochondria via mitophagy is vital to proper mitochondrial trafficking, an essential aid to brain plasticity21,22. To this end, we assessed the role of Wdfy3 in brains from adult Wdfy3+/lacZ and wild type (WT) mice via detailed biochemical, microscopic, and proteomic methods. Our analysis confirmed deficiencies in mitochondrial function of Wdfy3+/lacZ mice resulting from defective mitophagy. Our observations indicate that the clearance of damaged mitochondria in the setting of Wdfy3 haploinsufficiency may be partly abrogated through the formation of mitochondria-derived vesicles (MDV), subsequently targeted to lysosomes for degradation in a process named micromitophagy. We complemented this work by a global proteomics approach which indicated dysregulated cellular pathways consistent with the brain abnormalities and biochemical changes observed in Wdfy3+/lacZ mice. Specifically, we observed significant over-representation of pathways regulating not only mitophagy and autophagy, but also mitochondrial transport, axonal transport and remodeling of the axonal cytoskeleton, with the involvement of Semaphorin, Robo, L1cam, and Eph-ephrin signaling.
Herein, we present substantial evidence (in vivo and in vitro) that Wdfy3 is required for mitophagy as well as for mitochondrial transport, likely leading to accumulation of defective mitochondria and impaired brain bioenergetics. The accumulation of defective mitochondria compromises fatty acid β-oxidation, thereby affecting neuron differentiation and/or NSC-to-IPS transition during neurodevelopment. These findings provide a mechanism for the increased developmental neurogenesis due to an enlarged NSC pool that arises through an expansion of self-renewing divisions of radial glial cells with perinatal gains in cerebral length observed in the Wdfy3+/lacZ mice16, and likely a functional link for this gene to intellectual and developmental disabilities as well as ASD.
Results
Wdfy3 deficits result in perinatal mortality
All experiments were conducted on WT controls and age-matched Wdfy3-haploinsufficient mice due to the perinatal lethality of the homozygous mutants16. The C57BL/6NJ genetic background was chosen because the more widely available C57BL/6J mice carry a deletion encompassing the Nnt gene resulting in negligible mitochondrial nicotinamide transhydrogenase activity, with consequent increased background-levels of mitochondrial oxidative stress, affecting bioenergetic capabilities23.
Wdfy3lacZ mice, whose generation was previously described in detail16, carry a knockout first, lacZ reporter-tagged insertion construct integrated between exons 7 and 8 (disruption at aa 191)24. Previously reported Western blot analysis confirmed that the Wdfy3lacZ allele is a hypomorph with overt loss of the largest ~400-kD isoform, but with the retention of smaller bands (possibly isoforms of smaller MW that cross-reacted with the antibody).
Wdfy3+/lacZ mice, just as other transgenic models18, were born at Mendelian ratios (Wdfy3+/lacZ/WT ratio = 0.7 ± 0.2, mean ± SD; n = 518 mice born). Wdfy3+/lacZ dams compared to WT ones had smaller litter sizes at both birth and weaning (decreased by about 20–25%; Fig. 3A). Several haploinsufficient pups died within the first postnatal weeks (Fig. 3A,B), resulting in lower-than-Mendelian ratios of survivors at weaning (Fig. 3C). Changing the mating scheme from haploinsufficient female × WT male to haploinsufficient male × WT female improved the litter size as well as their survival by >20% (Fig. 3A,B). Deficits in rearing success by Wdfy3+/lacZ dams, compared to WT, were inferred from the wean-to-born ratio, which when calculated by Wdfy3+/lacZ dams was significantly decreased (by 24%, p = 0.023; Fig. 3B) compared to either WT dams or published ratios for C57BL/6J25. While a significant loss of Wdfy3+/lacZ pups was observed (Fig. 3C), Wdfy3+/lacZ females appeared to survive at a greater extent than males at weaning (by 7–10 mice; p = 0.092; Fig. 3C). As a result, the proportion of females was higher in the post-weaned Wdfy3+/lacZ group than in WT (62.7% vs. 54.3%, respectively; p = 0.018; Z-statistics 2.361; 95%CI = 55.52 to 69.49).
In previously reported findings16, we noticed cerebral lengthening and mild cortical abnormalities in Wdfy3-haploinsufficient mice at birth. To explore whether overt neuropathological abnormalities were observed in adult Wdfy3+/lacZ mice, we examined brains by whole-mount imaging and in sections (Supplementary Fig. S1). While we noted a trend towards increased brain size in adult Wdfy3+/lacZ mice, analysis of whole-mount brains by wet weight did not reveal significant differences between genotypes (Student’s t-test, p = 0.301). Further histological examination of hematoxylin-eosin-stained sections also did not reveal any differences in brain morphology between genotypes confirming that any perinatal structural anomalies are transient in nature and absent in adult life (Supplementary Fig. S1). To gain a better understanding of Wdfy3’s role in adult brain, we evaluated Wdfy3 expression by following the endogenous expression of the lacZ-reporter gene inserted into the Wdfy3 locus through X-gal staining (Fig. 4A–D, top panels). X-gal staining confirmed that Wdfy3 was widely expressed in adult cortex and cerebellum as well as in other brain structures, with highest levels seen in accessory olfactory bulb, hippocampal CA3 region, lateral cortical aspects, and cerebellar Purkinje cell layer. Expectedly, X-gal staining on WT brain sections did not reveal any signal confirming that X-gal labeling was exclusively due to endogenous lacZ expression (Fig. 4A’–D’, bottom panels). Overall, a greater proportion of cells expressing Wdfy3 was visualized in cerebellum than cortex (Fig. 4B–D), consistent with the reported proteomic profile of Wdfy3 expression in WT mice (Wdfy3 expression cerebellum-to-cortex = 70-to-126). These results are also consistent with Wdfy3 expression data obtained in embryonic, perinatal and adult brains14,18 as well as in both neurons and glia18.
Pathway analysis revealed that Wdfy3 is required for axon guidance, bioenergetics, mitophagy, translation, transport, nonsense-mediated decay, cytoskeleton remodeling and neurodevelopmental processes
To understand the molecular consequences of Wdfy3 haploinsufficiency on Wdfy3 bound to membranes and scaffolding structures as well as to organelles, such as mitochondria, we performed untargeted proteomics on cortical mitochondria-enriched fractions from WT and Wdfy3+/lacZ mice (n = 7 mice per genotype). The purity of the mitochondrial fraction was (on average) 88.45%, estimated by calculating the percentage of mitochondrial over cytosolic proteins identified in each of these fractions by proteomics (Fig. 5A). The contamination of the mitochondria-enriched fraction with other subcellular compartments was negligible (with the lowest at 0.16% for the lysosomes to the highest with 9.4% for the plasma membrane; Fig. 5A). Similarly, we found the mitochondrial fractions used in our analysis to be predominantly derived from neurons with minimal glial contribution (106-to-1 ratio; Fig. 5B).
Proteins (identified by mass spectrometry and quantified by spectral counting) in these mitochondrial fractions were used as input for partial-least-squares discriminant analysis (PLS-DA; Fig. 5C). This chemometric technique provides a visual interpretation of the complex proteomic datasets through an easily interpretable scores plot that in our study confirmed a suitable separation between the two genotypes. This technique also provided variable importance on projection (VIP) scores, from which only those with VIP >0.8 were used for further analysis (Fig. 5D; Supplementary Dataset). By utilizing the subset of proteins with VIP >0.8, pathway over-representation analysis was performed by using the REACTOME (Supplementary Dataset) or the KEGG (Fig. 5E; Supplementary Dataset) databases. This pathway analysis indicated that axon guidance, bioenergetics, mitophagy, translation, transport, nonsense-mediated decay, and cytoskeleton remodeling were the top dysregulated pathways along with those involved in neurodevelopment (Robo, ephrin, L1cam and semaphorin; Fig. 5F; Supplementary Dataset).
An important neurodevelopmental phenomenon apparently connected to Wdfy3 involves mechanisms that help dendrites originating from a single neuron practice self-avoidance in order to be arranged in spatially non-overlapping patterns, a process requiring contact-dependent recognition and repulsion. Slit2 and its receptor Robo2 have recently been implicated in self-avoidance of cerebellar Purkinje cell dendrites, in which their deletion leads to excessive dendrite self-crossing without affecting arbor size and shape27. Consistent with the observed down-regulation of the Robo/Slit pathway, the frequency of neurite self-crossing in cortical neurons cultured from Wdfy3+/lacZ mice was significantly higher (>2–3/cell) than WT (<1/cell; Fig. 6A,B; p = 0.038). Notably, this pattern resembles the autophagic deficits underlying spine pruning defects observed in both brains from ASD-affected human subjects as well as Tsc2+/− mice28.
Wdfy3 is critical for mitophagy, mitochondrial function and distribution in neuronal projections
Synaptic function and plasticity rely on mitochondrial function and efficient trafficking of mitochondria to neuronal projections29. The attachment of mitochondrial organelles to microtubule-based motor proteins contributes to anterograde trafficking to provide energy and metabolic turnover needed to sustain neurotransmission and calcium regulation22. The opposite mechanism, retrograde transport of compromised mitochondria, is essential for their clearance via mitophagy21. Considering the role of Wdfy3 in autophagy and the critical role of mitochondrial fatty acid β-oxidation in sustaining neural stem cell self-renewal20 we sought to assess mitochondria dynamics (i.e., distribution and morphology) and bioenergetics (i.e., ATP generation by mitochondria) in Wdfy3+/lacZ mice.
To visualize mitochondrial dynamics, primary cortical neurons from cortex of sex- and age-matched WT and Wdfy3+/lacZ mice were stained with MitoTracker, a dye that accumulates and is retained by polarized mitochondria30. Mitochondria from WT cortical neurons were elongated and tubular, extending from soma to projections (Fig. 6C). In contrast, cortical neurons from haploinsufficient mice showed fewer polarized mitochondria (Fig. 6D). This observation is consistent with other microscopy-based assessments, notably the smaller total mitochondrial area per cell (Fig. 6E), as well as the average perimeter and area per mitochondrion; Fig. 6F). Further, in Wdfy3+/lacZ neurons, mitochondria were organized within more sparse networks with fewer, shorter branches (Fig. 6G), indicating issues with mitochondrial transport along projections. Independent evaluation of mitochondrial mass (not related to polarization) was performed by assessing citrate synthase activity in cortex from WT and haploinsufficient mice (Supplementary Table S1). This activity was significantly higher in Wdfy3+/lacZ cortex vs. controls; however, the difference was only by ~9%, thus supporting the idea that the decreased polarized, functional mitochondria was not the result of lower content of mitochondria.
While mitochondrial depolarization is a key event for triggering Pink1- and Parkin-dependent mitophagy31, the accumulation of depolarized mitochondria in Wdfy3+/lacZ was suggestive of halted or defective mitophagy. Moreover, some mitochondria in primary cortical neurons from haploinsufficient mice exhibited budding protrusions (Fig. 6C,D), sometimes surrounded by smaller mitochondrial particles. These structures were reminiscent of mitochondria-derived vesicles (MDV) detected in an autophagic process termed micromitophagy that occurs independently of Pink1- and Parkin-dependent mitophagy31. Micromitophagy (also known as Type 3 mitophagy) includes the release of cargo-selective vesicles that bud off mitochondria independently of the mitochondrial fission machinery. Based on the most recent reports on MDV, these vesicles differ from mitochondrial fragments by at least three distinct criteria: (i) the nature of the cargo incorporated within vesicles; (ii) formation through a Drp1-independent manner; and (iii) morphology, in that they have a limited diameter of <200 nm containing either a single outer membrane or a double membrane-bound structure lacking cristae32,31. Proteomics analyses performed on both mitochondria-enriched fractions and MDV-enriched fractions revealed that cortical mitochondria from Wdfy3+/lacZ were enriched with mitochondrial proteins located at the intermembrane space, inner membrane and matrix and mostly depleted of proteins at the outer membrane (Fig. 7A, inset 1). The ratio of the sum of all mitochondrial proteins identified in the MDV fraction in haploinsufficient mice relative to WT was 2.1 ± 0.2 (mean ± SE; n = 109 proteins) suggesting that cortical neurons had 2-fold enrichment of MDVs compared to WT. Furthermore, the MDV fraction was enriched in specific mitochondrial proteins, as well as a few proteins from the retromer complex and from endosomes as observed by others33,34 (Fig. 7B), and also enriched in some, but not all, subunits of Complex IV, Complex V and isocitrate dehydrogenase, as previously reported35,36 (Fig. 7B). Taken together, the presence of smaller and budding mitochondria (Fig. 6), decreased mitochondrial envelope cargo in the mitochondrial fraction (Fig. 7), an estimated size of MDV of <200 nm (Fig. 6), and cargo composition of the MDV fraction (Fig. 7) are highly indicative of the activation of micromitophagy. Furthermore, the lack of differences in the abundance of fission proteins between the two genotypes in cortical mitochondria (Fig. 7A, inset 2), except Mief1, as well as in the MDV-enriched fraction (Fig. 7B) are indicative of a process that took place without significant input from the fusion-fission machinery. The lower abundance of the mitochondrial dynamics protein of 51 kD (Mief1) in the cortical mitochondrial fraction (Fig. 7A, inset 2) suggests that there might be down-regulation of the recruitment and association of Drp1 to the mitochondrial envelope as this protein is a key factor at regulating Drp1 GTPase activity as well as Drp1 oligomerization37. An overall assessment of these results is consistent with defective mitophagy being partly abrogated by enhanced micromitophagy.
To provide further and independent experimental support for these conclusions, the expression of key markers of mitophagy and autophagy was assessed by Western blotting in mitochondria-enriched fractions from cortex, cerebellum, hippocampus and olfactory bulb from WT and Wdfy3+/lacZ mice. Mitochondrial enrichment of each tested brain region was also assessed by Western blot analysis (Fig. 8A,B). As judged by the mitochondrial-to-cytosolic MnSOD ratio, mitochondrial enrichment was 30 ± 6-fold (mean ± SEM considering all brain areas and genotypes), regardless of the genotype, with an optimal recovery based on the minimal fraction of MnSOD that was detected in the cytosolic fraction (MnSOD levels normalized to actin = 0.04 ± 0.02-fold). These ratios were 12-fold higher and 25-fold lower, respectively, than accepted values in the literature for the enrichment of mitochondrial marker enzymes in the mitochondrial fraction (at least 2.5) and depletion of other fractions (<138).
Consistent with the concept of halted mitophagy and enhanced micromitophagy, Pink1 (required for mitophagy activation via Parkin-phosphorylation), Mfn2 and Vdac (substrates of Parkin-mediated ubiquitination), as well as LC3I and LC3II levels (in which an increased LC3II-to-LC3I ratio is considered a marker of autophagy activation) were not significantly different between genotypes (Supplementary Fig. S2). But the expression levels of Parkin (Fig. 8C,D) and Lamp2 (a lysosomal marker; Fig. 8C,D) were significantly increased in mitochondria-enriched fractions of haploinsufficient mice (Parkin by 2- and 3-fold in cortex and cerebellum, respectively; Lamp2 by 2-fold in cortex and hippocampus, and by 3-fold in cerebellum) with a lower recruitment of Sqstm1/p62 to mitochondria (by 27% and 30% of WT in cortex and cerebellum, respectively; Fig. 8C,D). These results were further confirmed by filtering the mitochondrial proteomics data by keywords related to mitophagy and autophagy (Fig. 9). Of note, the relatively higher levels of Parkin in cortex and cerebellum in haploinsufficient mice vs. WT (Fig. 8B,C) were consistent with the reported dependence of the formation of MDVs on Parkin levels in HeLa and U2OS cells36; this and our results are in contrast with the previously reported suppression of MDVs by high levels of Parkin39. This discrepancy is likely due to differences in cell type (neurons vs. immune cells), effectors (Wdfy3 haploinsufficiency vs. immune triggers) and level of Parkin (about 2-fold, this study, vs. GST-tagged Parkin overexpression).
To evaluate whether Wdfy3-mediated effects on mitophagy and the ensuing activation of micromitophagy had any impact on bioenergetics, the capacity to generate ATP by mitochondria from WT and haploinsufficient mice was evaluated by using NAD+- and FAD+-linked substrates (namely malate-glutamate and succinate, respectively) in mitochondria-enriched fractions from cerebral cortex, cerebellum, hippocampus and olfactory bulb from adult Wdfy3+/lacZ mice and sex- and age-matched controls (Fig. 8E and Supplementary Tables S1–S4). In addition, the spare respiratory capacity29, i.e. the extra ATP produced through OXPHOS in case of a sudden increase in energy demand, and oligomycin-resistant oxygen uptake (indicative of reactive oxygen species production and/or mitochondrial membrane proton leakiness) were also assessed. The activities of Complex IV (also known as cytochrome c oxidase or CCO) and citrate synthase (CS)—markers of mitochondrial inner membrane and matrix, respectively—were used to estimate the cristae-to-matrix ratio (CCO/CS; adapted from other reports40).
In Wdfy3-haploinsufficient mice, mitochondria from cortex and cerebellum presented the most significant deficits in all outcomes tested, followed by hippocampus (only one outcome affected; Fig. 8E and Supplementary Tables S1–S3), whereas olfactory bulb did not show any deficiencies (Fig. 8E and Supplementary Table S4). In cortex and cerebellum, these deficits entailed lower ATP production with both NAD+- and FAD+-linked substrates (by 23% with malate-glutamate in both brain areas, and by 27% and 23% with succinate in cortex and cerebellum, respectively; Fig. 8E and Supplementary Tables S1 and S2). We also noted lower CCO activity, as well as a decreased spared respiratory capacity (SRC) and increased reactive oxygen species (ROS)/proton leak. Overall, the most consistent deficit across brain regions (excluding olfactory bulb) was a decrease in cristae density (decreases by 35%, 21% and 33% of the CCO/CS ratio for cortex, cerebellum and hippocampus, respectively). The magnitude of this deficit was comparable to the overall decreased OXPHOS capacity in cortex and cerebellum. The decreases in ATP production (sustained by NAD+- or FAD+-linked substrates), CCO activity and spared respiratory capacity observed in cortex of haploinsufficient mice did not seem to be associated with a consistent decreased levels of mitochondrial respiratory chain protein complexes, as some of them (Ndufa1, Ndufa12, ND4) showed higher and others (Atp5e, Ndufaf2, Coq9) lower levels than WT (Fig. 7A). As indicated before, although a statistically significant difference in the activity of the matrix marker citrate synthase was noted in cortex and cerebellum of Wdfy3+/lacZ mice relative to WT, the extent of this difference argues against its biological relevance in vivo (9% for both brain areas). Thus, this suggests that variations in mitochondrial biogenesis are not relevant to the phenotypes we have observed, and instead emphasizes the accumulation of damaged proteins within mitochondria as a primary mechanism preventing their normal assembly into super-complexes and ATP production.
The above results obtained in vivo were supported by in vitro findings utilizing a different, yet relevant, biological model. This model consisted of siRNA-mediated Wdfy3 knockdown in murine neuronal (striatal) progenitor cells (NPCs), which resulted in Wdfy3 levels reduced by >70%. Concomitant gene expression levels, evaluated by qPCR were reduced to 22% of control levels and protein expression by immunocytochemistry to 28% of levels seen in scrambled-RNA-treated NPCs (Fig. 10A). Treatment with the mTOR inhibitor and autophagy activator rapamycin increased LC3 staining (a marker of autophagy) and number of LC3+ puncta in control neurons, a response that was significantly blunted in Wdfy3-deficient neurons (by 70%; Fig. 10B). Thus, as seen in vivo, in this cellular model the LC3-dependent step, shared by both autophagy and mitophagy, was halted (Supplementary Fig. S2).
Because mitochondria of cultured Wdfy3+/lacZ primary cortical neurons displayed defective morphology and distribution, we used confocal microscopy to evaluate total mitochondrial mass (assessed by the abundant β-subunit of the mitochondrial FoF1-ATPase or ATP5B) and visualize polarized mitochondria following MitoTracker staining in NPCs (Fig. 10C). Total mitochondrial mass in Wdfy3-deficient NPCs was comparable to controls (Fig. 10C), whereas the mass of polarized mitochondria was decreased by 30–40% in Wdfy3-deficient NPCs (Fig. 10C,D). Comparable to our observations in cortical primary neurons from haploinsufficient mice (Fig. 6D,F), but more pronounced due to the almost complete loss of Wdfy3 induced by siRNA knockdown, mitochondria from Wdfy3-silenced NPCs were smaller (Fig. 10E,F), less tubular in shape (Fig. 10G), and as part of a disrupted network (less networks with smaller branches; Fig. 10H,I) compared to the more tubular and evenly distributed mitochondria of scrambled RNA-treated control NPCs. Furthermore, most Wdfy3-deficient NPC mitochondria had a noticeably perinuclear distribution, with fewer organelles localized in the cellular periphery and projections (Fig. 10J). Taken together, these results were highly indicative of an imbalance between antero- and retrograde trafficking of mitochondria along neuronal projections as observed in some neurodegenerative diseases such as Parkinson’s disease41 and fragileX-associated tremor and ataxia syndrome42.
Overall, our results pointed to a critical role for Wdfy3 in maintaining mitochondrial health and bioenergetic properties. The effects are driven by a pathological accumulation of defective mitochondria with an overall diminished OXPHOS capacity (including lower fatty acid β-oxidation) in Wdfy3 haploinsufficiency.
Discussion
Wdfy3 encodes a phosphatidylinositol 3-phosphate-binding protein that functions as a master conductor of autophagy and aggrephagy (i.e., clearance of protein aggregates)13,18. Through its role in autophagy or other yet undescribed properties, Wdfy3 exerts profound effects during embryonic development. These include the regulation of division and migration of neural progenitors, which depending on heterozygous or homozygous mutations, result in excess mitoses of radial glial cells and increased neurogenesis16. In regards to neurodevelopment, Wdfy3 has emerged as a risk gene in ASD10–12,43, likely through its role in developmental neurogenesis and/or possibly through additional functions it may exert later in life. Incidentally, homozygous mutant mice die perinatally, but heterozygotes survive to adulthood. The link between Wdfy3 (as an extension for autophagy) and psychiatric disorders has received support by recent findings of brain-specific downregulation of beclin1 in schizophrenic individuals44, while indirect evidence was provided by studies showing that lithium, widely used of the treatment of bipolar disorder45, along with commonly used antidepressants, induce autophagy46. Parkin and Pink1, two proteins implicated in mitophagy, are associated with familial Parkinson’s disease, in which sustained dysregulation of neuronal mitochondrial quality control can lead to neurodegeneration47.
Mitochondrial homeostasis is the result of a fine balance between biogenesis and clearance by autophagy, raising the possibility of a close association between autophagy dysfunction and accumulation of defective mitochondria. At early stages of life, such dysfunction may affect neurodevelopment or over time may lead to neurodegeneration, ensuing in associated psychiatric disorders. Consequently, we evaluated whether Wdfy3 was implicated in brain mitochondrial quality control through mitophagy. In the process, we confirmed that deficits in Wdfy3 are associated with a decline in Atg12-Atg5-Atg16l complex (as previously shown13) suggesting that Wdfy3 haploinsufficiency alters the progression of Atg3/LC3I to Atg5/Atg12/Atg16L1/Wdfy3, likely preventing LC3I lipidation. This is supported by the constant levels of LC3I expression present in all tissues of both genotypes (Supplementary Fig. S2), the lack of genotype differences in the expression of LC3II, Atg7, Atg3, or Atg4b, but the lower levels of Atg16l1, GBRL2, and WIPI2 (Fig. 9). Our findings are in line with an autophagic role reported for Wdfy318 and another WDR-containing protein, WDR40-4717, but expanding the role of Wdfy3 to include the selective clearance of defective mitochondria (mitophagy) and mitochondria trafficking.
Decreased mitophagy and autophagy activity (Figs 8–10) along with the presence of MDV (Figs 6–7), as well as higher levels of Parkin and Lamp2 (Fig. 8), accompanied by a relatively modest decrease in overall OXPHOS capacity (~70% of WT; Fig. 8E) are consistent with the activation of micromitophagy as an apparent compensatory cellular response to partially clear some of the damaged mitochondria. In the presence of Wdfy3 haploinsufficiency, the accumulation of defective mitochondria indicates that diminished mitochondrial quality control could not be fully compensated for by the activation of micromitophagy. This can be interpreted as Wdfy3 being also required for micromitophagy, or alternatively, that micromitophagy, even at its full capacity, cannot abrogate all mitochondrial clearance deficits. The results obtained with primary cortical neurons are consistent with the ones obtained with NPCs, as partial (by ~50%; Fig. 6) or nearly total (by ~70%; Fig. 10) loss of Wdfy3 results in accumulation of damaged (depolarized) mitochondria with aberrant morphology and distribution.
At the molecular level, deficits in bioenergetics entailed lower OXPHOS capacity and Complex IV (normalized by CS) at comparable levels in both cortex and cerebellum. Notably, Complex IV (CCO) is highly reliant on the mitochondrial inner membrane lipid composition as illustrated by biological models with defects in cardiolipin synthesis (ceramide synthase 2 KO mice48 and Barth syndrome49). As autophagy is triggered under starving conditions to favor the recycling of proteins as well as lipids, a block in mitophagy or autophagy may challenge this process, compromising the lipid composition of cell membranes, including the inner mitochondrial membrane, and the stabilization of the respiratory chain super-complexes. This may explain both the lower overall OXPHOS capacity and CCO/CS ratio in cortex and cerebellum from haploinsufficient mice. Consistent with this premise, Drosophila mutants for the Wdfy3 homologous blue cheese gene (bchs) showed an imbalance in ceramide metabolism with altered autophagy50. The differences in severity of mitochondrial defects between cerebellum and cortex vs. hippocampus might be explained by the relatively shorter maturation period and slower neuronal migration and dispersion pattern reported for hippocampus51, in addition to the higher turnover of hippocampal cells due to adult neurogenesis. Whatever the causes for differential outcomes in mitochondrial bioenergetics may be, neuron-to-glia ratios appear not to be relevant in this context, as they differ widely between cortex (1:4 ratio) and cerebellum (4:1 ratio)52.
In parallel with mitophagy, deficits in Wdfy3-affected mitochondrial dynamics (distribution and morphology) in murine brains; similarly, in vitro analysis in Wdfy3-silenced NPCs showed disrupted mitochondrial dynamics, with an accumulation of damaged mitochondria due to impaired clearance by LC3-dependent autophagy. When the proteomic data were analyzed against the KEGG database, pathways affected in Wdfy3 haploinsufficiency were shared with those related to neurodegenerative diseases (ALS, Parkinson’s, Huntington’s, Prion diseases) as well as those involved in vesicular transport, and dopaminergic and GABAergic synapses (Fig. 5E,F), pointing not only to decreased mitophagy, but also to defective intracellular transport (likely including mitochondria) and neuron development and/or organization. In addition, pathways inherent to OXPHOS, including fatty acid β-oxidation, were noted as down-regulated (Supplementary Dataset under “pathways” and “biological processes” tabs). Consistent with the notion that fatty acid β-oxidation is key in controlling the NSC-to-IPC transition in the mammalian embryonic brain20, a lower abundance of proteins associated with neuron differentiation was observed in Wdfy3+/lacZ mice (i.e., spectrins, voltage-dependent channels; Supplementary Dataset under “biological processes” tab). These findings are consistent with a recent report utilizing Wdfy3 transgenic mice (gene trap and constitutive knockout) indicating a central role for Wdfy3 in the establishment of forebrain long-range connectivity18. This study aligns with our own observations that Wdfy3 is required for de novo generation of axons and axon guidance (as evidenced by the pathway analyses of our proteomic survey), as well as for the correct localization of glial guidepost cells as shown in the Wdfy3disc mice16.
Defective mitochondrial quality control provides a link to synaptic plasticity, as proper synaptic function strongly depends on effective mitochondrial turnover to maintain local bioenergetic requirements. In support of this notion, several proteins involved in mitophagy (e.g., Parkin, Pink1, Optn, Sqstm1/p62, Tbk1, and Ndp52, among others53) have been implicated in neurodegeneration. Furthermore, the majority of human cases reported to date carrying gain or loss of Wdfy3 copy number variation (9 of 16) are affected by intellectual disability, global developmental delay and ASD (Supplementary Fig. S5), while other cases carrying either de novo nonsense or frameshift alleles, shown under Fig. 1A, have also been associated with ASD and intellectual disability8,10–12. The connection between Wdfy3 and behavior in our model of Wdfy3 haploinsufficiency is manifested as a significantly reduced rearing success of Wdfy3+/lacZ dams, likely the result of reduced attentiveness towards their pups. In support of this premise, pups raised by WT dams survived at greater rates irrespective of pup genotype. But beyond survival, it is important to highlight that maternal care modulates neurobiological systems that impact long-term cognitive, social, and emotional development of the offspring54–56. Increased perinatal mortality was also reported in different Wdfy3 mouse models, but was attributed to a selective maternal rejection of Wdfy3 mutant pups due to deficits in their righting reflex18. However, while our haploinsufficient pups did not show any major developmental issues (none of 16 developmental milestones including righting reflex from PND2-PND14 reached statistical significance), the fostering experiments do not support this mechanism. Instead, Eph-ephrin signaling, one of the pathways identified as affected by Wdfy3 deficiency (Supplementary Dataset, under “Pathway analysis-reactome” tab), appears of particular interest. Our proteomic data showed a significant decrease in cortical EphA4 (log2 FC = −0.65; Fig. 9). EphA4 is implicated in the development of the corticospinal tract57, axon guidance for specific subsets of motor neurons58,59, neuroblast and glia organization60 and cerebellar wiring61. Its homozygous deletion results in impaired short-term habituation and novelty detection62. To date, no data are available in the literature on the role of EphA4 on nurturing behavior; however, the loss of the paralog EphA5, which has comparable embryonic and adult expression in brain, showed, in agreement with our study, a decreased survival rate in pups that were born and reared by EphA5−/− females compared to those born and reared by WT (55% vs. 80%) and the higher mortality was directly correlated to altered maternal rearing behavior63. Thus, it is reasonable to assume that adaptation to the nurturing response requires substantial neuronal circuit remodeling, which will likely increase energy demand as well as autophagic flux, a concept supported by the fact that defective autophagy impairs synaptic pruning and neuronal remodeling, both processes also reportedly affected in ASD28,64,65. In other models, the link between Wdfy3 and atypical behaviors, including ASD, has been previously reported as a loss of habituation (suppression of startle response to a repeated non-adverse stimulus) in Drosophila subjected to inducible Wdfy3 knockdown in neurons8. Notably, habituation is a prerequisite for higher cognitive functions66, and altered habituation may substantially contribute to defective filtering, also identified as one of the features in ASD67.
Overall, our findings support the concept that Wdfy3 is critical for the maintenance of mitochondria quality control by regulating their turnover through mitophagy, a process required for sustaining neuronal circuitries. Deficits in recycling of building blocks, a lower capacity to clear damaged, unfolded or no-longer required proteins, along with the accumulation of dysfunctional mitochondria all may affect synaptic pruning as well as remodeling of neural circuits. The occurrence of these processes may all set the stage for energy shortage and neurotransmission imbalances, especially critical at the projections where mitochondria are essential for synaptic plasticity and neurotransmitter metabolism.
Methods
Animal breeding and husbandry
Wdfy3lacZ (Wdfy3tm1a(KOMP)Mbp) mice were generated and genotyped as previously described16 and maintained on C57BL/6NJ background as a mixed WT/heterozygous mutant colony in facilities approved by the Association for Assessment and Accreditation of Laboratory Animal Care International (AALAC). All mice were genotyped for Nnt as described before68 (Supplementary Fig. S3). The animals were housed in Plexiglas cages (2–4 animals per cage; 55 × 33 × 19) and maintained under standard laboratory conditions (21 ± 2 °C; 55 ± 5% humidity) on a 12 h light/dark cycle, with ad libitum access to both water and food. The mice were fed with a standard rodent chow. All animals were handled in accordance with protocols approved by the University of California at Davis Institutional Animal Care and Use Committee. All protocols using animals followed the “Principles of laboratory animal care” (NIH publication No. 86-23, revised 1985).
Mitochondrial outcomes
Mice (3–4 m old) were utilized for testing mitochondrial function in the indicated brain regions. After euthanasia, brains were dissected out of the skull and the cerebral hemispheres and cerebellum of each animal collected separately in ice-cold MSHE buffer (0.21 M mannitol, 0.07 M sucrose, 1 mM EDTA, 1 mM EGTA, 10 mM HEPES, pH 7.4). Subsequently, mitochondria were isolated by differential centrifugation as described before68. The mitochondrial fractions were heavily enriched with mitochondrial proteins presenting minimal contamination with cytosolic components (Fig. 8A,B). Mitochondria isolated from the indicated brain regions were evaluated by polarography under phosphorylating and non-phosphorylating conditions with NAD- and FAD-linked substrates68. Briefly, oxygen consumption was evaluated using a Clark-type oxygen electrode (Hansatech, King’s Lynn, UK) as described4. Mitochondria (10–20 µg protein) were added to the oxygen chamber in a buffer containing 0.22 M sucrose, 50 mM KCl, 1 mM EDTA, 10 mM KH2PO4, and 10 mM HEPES, pH 7.4. ATP-driven oxygen consumption rates were evaluated in the presence of (i) 1 mM ADP plus 1 mM malate-10 mM glutamate followed by the addition of 5 μM rotenone; (ii) 10 mM succinate followed by the addition of 3.6 μM antimycin A. The activities of mitochondrial NAD-derived ATP production and FAD-derived ATP production were evaluated as the difference of oxygen uptake recorded before and after the addition of rotenone and antimycin A, respectively. Specific activity of Complex IV was measured by polarography as described before4. Citrate synthase activity was measured spectrophotometrically as described before68. ROS/proton leak was calculated as the ratio of the succinate-supported oxygen uptake resistant to 2 µM oligomycin and the basal oxygen consumption. SRC (spare respiratory capacity) was expressed as the ratio between maximum oxygen consumption in the presence of 10 mM succinate and 20 nM of the uncoupler FCCP and the basal one.
Proteomics of cortical mitochondria-enriched and MDVs fractions
Sample Preparation –Cortices from 3-m old 7 WT and 7 female haploinsufficient mice were used to obtain mitochondria-enriched fractions as described before68 and MDV-enriched fractions essentially as described by others35. Protein evaluation was performed with Pierce BCA protein assay (Thermo Scientific, Waltham MA). Mass Spectrometry - Samples were submitted to the UC Davis Genome Center Core Proteomics Facility for liquid chromatography with tandem mass spectrometry. Protein pellets were digested overnight with a trypsin to protein ratio of 1:30. The equivalent of 2–5 µg of protein was loaded into the LC-MS/MS. Database Searching - All MS/MS samples were analyzed using X! Tandem (The GPM, thegpm.org; version TORNADO (2010.01.01.4)). X! Tandem was set up to search the uniprot__20120523_gTmkm3 database (89576 entries) assuming the digestion by the enzyme trypsin. X! Tandem was searched with a fragment ion mass tolerance of 20 ppm and a parent ion tolerance of 1.8 Da. Deamidation of Asn and Gln, oxidation of Met and Trp, sulphone of Met, Trp oxidation to formylkynurenin, and acetylation of the N-terminus were specified in X! Tandem as variable modifications. Criteria for Protein Identification - Scaffold (v. 3.00.07, Proteome Software Inc., Portland, OR) was used to validate MS/MS based peptide and protein identification. Peptide identification was accepted if it could be established at >80% probability by the Peptide Prophet algorithm69. Protein identifications were accepted if they could be established at >80.0% probability and contained at least 2 identified peptides. Protein probabilities were assigned by the Protein Prophet algorithm70. Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony. Proteomics analysis-The proteome profiles from all 14 animals were normalized by their spectral counting sum and analyzed by using PLS-DA to identify the features that separated the most the two genotypes. The proteins that best described the differences between the two groups were selected by setting a variable in importance projection (VIP) score of >0.8 (Fig. 5). From these, those associated with the gene ontology term “autophagy” or “mitophagy” (under “biological process”) or “mitoch*” (under “cellular compartment”) and with a p-value corrected by the FDR of 0.05 or lower, were selected. From this subset, only those with a |LOG2 ratio| ≥ 0.5 were kept (Fig. 9).
To compute the achieved power for the analysis of the abundance of mitochondrial proteins in the cortex MDV fraction in WT and haploinsufficient mice, a post-hoc analysis to a two-tailed Student’s t test (calculated with G*Power, version 3.1.9.2) was run, given an alpha of 0.05 and a sample size of 109 proteins. The results indicated that the achieved power was >99%.
Western blotting
Mitochondria-enriched and cytosolic fractions were isolated from cortex, hippocampus, cerebellum and olfactory bulb of WT and Wdfy3+/lacZ mice as described before68. Thirty-five µg of proteins were solubilized in SDS sample buffer (Life Technologies, Grand Island, NY) and loaded onto a 4–12% bis-tris gel (Life Technologies) as previously described68. After transferring proteins with an iBlot apparatus (Life Technologies), membranes were blocked with LI-COR blocking buffer (LI-COR Biosciences, Lincoln, NE) for 1 h at 20 °C and subsequently probed overnight at 4 °C with the following antibodies: anti-Lamp2 (Abcam, Cambridge, MA; 1:1,000 dilution), anti-LC3 (Novus Biologicals, Littleton, CO; 1:1,000 dilution), anti-Mfn2 (Proteintech, Rosemont, IL; 1:500 dilution), anti-MnSOD (Millipore, Billerica, MA; 1:1,000 dilution), anti Sqstm1 (Cell Signaling Technology, Danvers, MA; 1:500 dilution), anti-Park2 (Abcam; 1:500 dilution), and anti-Pink1 (Novus Biologicals; 1:1,000 dilution). As a loading control, we used anti-β-actin antibody (Sigma, St. Louis, MO; 1:20,000 dilution, 1 h at 20 °C). Secondary antibodies were from LI-COR (Lincoln, NE; 1:10,000 dilution). Membranes were visualized with the use of the Odyssey Infrared Imaging System (LI-COR) and densitometry analysis carried out with ether the Carestream or ImageJ softwares.
Cell culture of neuronal progenitor cells (NPC)
Murine striatal neuronal progenitor cells (NPCs) were described in detail and characterized elsewhere71. Cells were grown in high glucose DMEM (Thermo Fisher Scientific, Waltham, MA) supplemented with 10% FBS (Hyclone, Logan, UT), 100 units/ml penicillin, 100 µg Streptomycin/ml and 0.4 mg/ml G418 (Thermo Fisher Scientific, Waltham, MA) at 33 °C in 5% CO2, never exceeding passage #10. For silencing experiments, siRNA-lipid complexes were formed using 1 ml Opti-MEM I Medium (Gibco) without serum, 43 μl of Lipofectamine RNAiMAX (Thermo Fisher Scientific) and 145 pmol scrambled siRNA or Wdfy3 siRNA (Thermo Fisher Scientific, #AM4611 and AM16708, ID: 95113, respectively). Cells were then added to the siRNA-lipid complex at a concentration of 1 × 106 in 9 ml of growth medium. After 48 h, cells were collected and viability (>85%) checked by trypan blue staining (Sigma-Aldrich, St. Louis, MO) with the use of a TC20 Automated Cell Counter (Bio-Rad, Hercules, CA). Total RNA was extracted from cells using the RNAeasy mini kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol. Concentration and purity of RNA was measured at 260 nm and 280 nm on a Tecan Infinite M200 Nanoquant (Tecan, Austria). Subsequently, QuantiTect Reverse Transcription Kit (Qiagen) with provided RT Primer Mix was used for cDNA synthesis. Assessment of Wdfy3 silencing efficiency was performed by qPCR using iQ SYBR Green Supermix (Bio-Rad) according to the manufacturer’s protocol. Wdfy3 gene expression levels were assessed using forward 5′CTGAATGGGGCCAGATCCTC-3′ and reverse primer 5′-AAGGAGAGCCTGCTTGAGTG-3′. For gene expression fold change analysis, the delta-delta Ct method was used. Gene expression levels were normalized to Gapdh expression used as a housekeeping gene.
Protocol and analyses of immunofluorescence by confocal microscopy
Cells (either primary cortical neurons from mice or NPCs, 1 × 105) were seeded on sterile cover slips and grown over night at 37 °C. After desired confluence was achieved, cells attached to coverslips were stained with 500 nM of MitoTracker Deep Red FM (Molecular Probes Inc., Eugene, OR, USA) diluted in growth media, as previously described71, fixed in 3.7% formaldehyde for 10 min, and subsequently blocked/permeabilized for 30 min in 20% goat serum, 0.1% BSA, 0.2% Triton X-100 in phosphate-buffered saline (GS-PBS)71. Evaluation of total mitochondrial mass and distribution was obtained in NPCs by staining with anti-ATP5B antibody (1:200 dilution in GS-PBS; BD Biosciences, San Jose, CA), overnight at 4 °C. For evaluation of LC3 or Wdfy3 levels, upon fixation and blocking/permeabilization of the cells, NPCs were probed with anti-LC3 antibody (Cell Signaling, Danvers, MA) and anti-Wdfy3 antibody (Abcam, Cambridge, MA), both at 1:100 dilution in GS-PBS overnight at 4 °C. The following day, cells were washed in PBS and probed with a goat anti-rabbit or goat anti-mouse AlexaFluor 488 antibody (1:1.000 in 2% GS-PBS; LI-COR, Lincoln, NE) for 1 h at 20 °C. NPCs were subsequently counterstained with 1 µg/ml 4′,6 diamidino-2-phenylindole (DAPI) and mounted on glass slides with ProLong Gold anti-fading mounting media (Thermo Fisher Scientific, Waltham, MA). Fluorescent images were obtained using a Leica TCS SP8 STED 3X confocal microscope (Leica, Buffalo Grove, IL) and analyzed with the Leica LAS X Core software. De-convolution was carried out with the use of the Huygens Professional software. Self-crossing in cortical neuronal projections was visualized with ImageJ and their frequencies counted manually. The projections were identified by using an algorithm within ImageJ to recognize soma vs. projections. For mitochondrial morphology quantification, images were further analyzed with two macro tools designed for ImageJ (Fiji)72,73 to allow the quantification of mitochondrial mass, morphological features and network integrity.
Brain whole-mount imaging
Animals were euthanized, and tissues fixed by transcardial perfusion with 4% PFA (paraformaldehyde) in PBS. After being removed from the skulls, brains were submerged in PBS and imaged using a Zeiss Lumar.V12 stereo-microscope (Oberkochen, Germany) with attached Zeiss AxioCam MRc camera and associated AxioVision software (version 4.8.2).
Hematoxylin-eosin (HE) staining
Animals were anesthetized, and tissues fixed by transcardial perfusion with 4% PFA in PBS. Brains were dissected, dehydrated through a series of graded ethanol baths, and then infiltrated with paraffin at 65 °C. The infiltrated tissues were embedded into wax blocks, cut to 10 µm sections that were mounted on glass slides, and processed for HE-staining according to standard methods. Photomicrographs were acquired on an Olympus BX61 microscope with Olympus DP71 camera and associated Olympus cell Sens Dimension software at 4X magnification.
X-gal staining
Staining for β-galactosidase (β-gal) activity expressed by the lacZ reporter transgene inserted into the targeted Wdfy3 locus was performed by using X-gal (5-bromo-4-chloro-3-indolyl-β-D-galactopyranoside) as a substrate according to standard protocols as previously described74. In brief, animals were anesthetized, and tissues mildly fixed by transcardial perfusion with 2% PFA in PBS. Brains were dissected, processed through 15% and 30% sucrose/PBS and cryoprotectively frozen in OCT compound (Sakura Finetek USA Inc., Torrance, CA). Subsequently, sections were cut at 40 μm, mounted on glass slides, stained, and counterstained with nuclear fast red (Sigma). Photomicrographs were acquired on an Olympus BX61 microscope with Olympus DP71 camera and associated Olympus cellSens Dimension software at 4X magnification.
Statistics
Unless otherwise stated, statistical analysis was performed with two-tailed Mann-Whitney test or by Kruskal-Wallis followed by Dunn’s multiple comparisons test. All significance levels were set at p ≤ 0.05.
Electronic supplementary material
Acknowledgements
This study was funded by the Shriners Hospitals for Children, the Simons Foundation (SFARI 286567) and the Nancy Lurie Marks Family Foundation to KSZ. Additional support for this study was provided by the National Institutes of Health (S10RR023586, NIEHS012691) and, partly by the Simons Foundation (#271406) to CG. This study (Fig. 2 and Supplementary Fig. S5) makes use of data generated by the DECIPHER community. A full list of centers that contributed to the generation of the data is available at http://decipher.sanger.ac.uk (project funded by the Wellcome Trust). We thank Dr. Denise M. Imai-Leonard for neuropathological evaluation. We thank Ms. Sarah Wong for her excellent technical skills at genotyping the mice for Nnt gene. We also thank Mr. Angelo De Crescenzo for excellent technical support in imaging and genotyping and Ms. Angela Hanson for tissue sectioning.
Author Contributions
E.N. performed most of the experiments on brain mitochondrial function/bioenergetics, carried out confocal imaging of NPCs and primary cortical neurons, analyzed the correspondent data, assembled the corresponding figures, contributed to the writing and editing of the manuscript; G.S. helped with the preparation of mitochondrial fractions from brain areas and performed some of the enzymatic assays; A.P., M.A.R., G.K. and K.S.Z maintained the mouse colony, performed dissections and tissue preparations, and carried out brain whole-mount imaging and X-gal staining; M.A.R., G.K. and K.S.Z performed primary neuronal cultures and mitochondrial labeling on cells isolated from mouse brains. J.H. performed all experiments related to the transfection of NPCs; R.L. was involved at very early stages of this research; K.S.Z. provided all mice and tissues for bioenergetics assessment, pictures of brain morphology and Wdfy3 distribution, and contributed to the editing and writing of the manuscript; C.G. conceptualized the study, designed the experiments, analyzed the proteomics data, and wrote the manuscript.
Competing Interests
The authors declare no competing interests.
Footnotes
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-29421-7.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Konstantinos S. Zarbalis, Email: kzarbalis@ucdavis.edu
Cecilia Giulivi, Email: cgiulivi@ucdavis.edu.
References
- 1.Du F, et al. Tightly coupled brain activity and cerebral ATP metabolic rate. Proc Natl Acad Sci USA. 2008;105:6409–6414. doi: 10.1073/pnas.0710766105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Karabatsiakis A, et al. Mitochondrial respiration in peripheral blood mononuclear cells correlates with depressive subsymptoms and severity of major depression. Transl Psychiatry. 2014;4:e397. doi: 10.1038/tp.2014.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Prabakaran S, et al. Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stress. Mol Psychiatry. 2004;9(684–697):643. doi: 10.1038/sj.mp.4001532. [DOI] [PubMed] [Google Scholar]
- 4.Giulivi C, et al. Mitochondrial dysfunction in autism. JAMA. 2010;304:2389–2396. doi: 10.1001/jama.2010.1706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ashrafi G, Schwarz TL. The pathways of mitophagy for quality control and clearance of mitochondria. Cell Death Differ. 2013;20:31–42. doi: 10.1038/cdd.2012.81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Jin SM, Youle RJ. The accumulation of misfolded proteins in the mitochondrial matrix is sensed by PINK1 to induce PARK2/Parkin-mediated mitophagy of polarized mitochondria. Autophagy. 2013;9:1750–1757. doi: 10.4161/auto.26122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pickles S, Vigie P, Youle RJ. Mitophagy and Quality Control Mechanisms in Mitochondrial Maintenance. Curr Biol. 2018;28:R170–R185. doi: 10.1016/j.cub.2018.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Stessman HA, et al. Targeted sequencing identifies 91 neurodevelopmental-disorder risk genes with autism and developmental-disability biases. Nat Genet. 2017;49:515–526. doi: 10.1038/ng.3792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kadir R, et al. ALFY-Controlled DVL3 Autophagy Regulates Wnt Signaling, Determining Human Brain Size. PLoS Genet. 2016;12:e1005919. doi: 10.1371/journal.pgen.1005919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Iossifov I, et al. De novo gene disruptions in children on the autistic spectrum. Neuron. 2012;74:285–299. doi: 10.1016/j.neuron.2012.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Iossifov I, et al. The contribution of de novo coding mutations to autism spectrum disorder. Nature. 2014;515:216–221. doi: 10.1038/nature13908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wang T, et al. De novo genic mutations among a Chinese autism spectrum disorder cohort. Nat Commun. 2016;7:13316. doi: 10.1038/ncomms13316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Filimonenko M, et al. The selective macroautophagic degradation of aggregated proteins requires the PI3P-binding protein Alfy. Mol Cell. 2010;38:265–279. doi: 10.1016/j.molcel.2010.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Simonsen A, et al. Alfy, a novel FYVE-domain-containing protein associated with protein granules and autophagic membranes. J Cell Sci. 2004;117:4239–4251. doi: 10.1242/jcs.01287. [DOI] [PubMed] [Google Scholar]
- 15.Clausen TH, et al. p62/SQSTM1 and ALFY interact to facilitate the formation of p62 bodies/ALIS and their degradation by autophagy. Autophagy. 2010;6:330–344. doi: 10.4161/auto.6.3.11226. [DOI] [PubMed] [Google Scholar]
- 16.Orosco LA, et al. Loss of Wdfy3 in mice alters cerebral cortical neurogenesis reflecting aspects of the autism pathology. Nat Commun. 2014;5:4692. doi: 10.1038/ncomms5692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kannan M, et al. WD40-repeat 47, a microtubule-associated protein, is essential for brain development and autophagy. Proc Natl Acad Sci USA. 2017;114:E9308–E9317. doi: 10.1073/pnas.1713625114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dragich, J. M. et al. Autophagy linked FYVE (Alfy/WDFY3) is required for establishing neuronal connectivity in the mammalian brain. Elife. 5, 10.7554/eLife.14810 (2016). [DOI] [PMC free article] [PubMed]
- 19.Lim A, Kraut R. The Drosophila BEACH family protein, blue cheese, links lysosomal axon transport with motor neuron degeneration. J Neurosci. 2009;29:951–963. doi: 10.1523/JNEUROSCI.2582-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Xie Z, Jones A, Deeney JT, Hur SK, Bankaitis VA. Inborn Errors of Long-Chain Fatty Acid beta-Oxidation Link Neural Stem Cell Self-Renewal to Autism. Cell Rep. 2016;14:991–999. doi: 10.1016/j.celrep.2016.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.MacAskill AF, Atkin TA, Kittler JT. Mitochondrial trafficking and the provision of energy and calcium buffering at excitatory synapses. Eur J Neurosci. 2010;32:231–240. doi: 10.1111/j.1460-9568.2010.07345.x. [DOI] [PubMed] [Google Scholar]
- 22.Cai Q, Gerwin C, Sheng ZH. Syntabulin-mediated anterograde transport of mitochondria along neuronal processes. J Cell Biol. 2005;170:959–969. doi: 10.1083/jcb.200506042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fujisawa Y, et al. Impact of a novel homozygous mutation in nicotinamide nucleotide transhydrogenase on mitochondrial DNA integrity in a case of familial glucocorticoid deficiency. BBA Clin. 2015;3:70–78. doi: 10.1016/j.bbacli.2014.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Skarnes WC, et al. A conditional knockout resource for the genome-wide study of mouse gene function. Nature. 2011;474:337–342. doi: 10.1038/nature10163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Manual, A. J. L. R. Breeding strategies for maintaining colonies of laboratory mice, http://www.research.uci.edu/forms/docs/iacuc/JAX-breeding-strategies.pdf (2009).
- 26.Geiger T, et al. Initial quantitative proteomic map of 28 mouse tissues using the SILAC mouse. Mol Cell Proteomics. 2013;12:1709–1722. doi: 10.1074/mcp.M112.024919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gibson DA, et al. Dendrite self-avoidance requires cell-autonomous slit/robo signaling in cerebellar purkinje cells. Neuron. 2014;81:1040–1056. doi: 10.1016/j.neuron.2014.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tang G, et al. Loss of mTOR-dependent macroautophagy causes autistic-like synaptic pruning deficits. Neuron. 2014;83:1131–1143. doi: 10.1016/j.neuron.2014.07.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yadava N, Nicholls DG. Spare respiratory capacity rather than oxidative stress regulates glutamate excitotoxicity after partial respiratory inhibition of mitochondrial complex I with rotenone. J Neurosci. 2007;27:7310–7317. doi: 10.1523/JNEUROSCI.0212-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Perry SW, Norman JP, Barbieri J, Brown EB, Gelbard HA. Mitochondrial membrane potential probes and the proton gradient: a practical usage guide. Biotechniques. 2011;50:98–115. doi: 10.2144/000113610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lemasters JJ. Variants of mitochondrial autophagy: Types 1 and 2 mitophagy and micromitophagy (Type 3) Redox Biol. 2014;2:749–754. doi: 10.1016/j.redox.2014.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sugiura A, McLelland GL, Fon EA, McBride HM. A new pathway for mitochondrial quality control: mitochondrial-derived vesicles. EMBO J. 2014;33:2142–2156. doi: 10.15252/embj.201488104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Soubannier V, et al. A vesicular transport pathway shuttles cargo from mitochondria to lysosomes. Curr Biol. 2012;22:135–141. doi: 10.1016/j.cub.2011.11.057. [DOI] [PubMed] [Google Scholar]
- 34.Braschi E, et al. Vps35 mediates vesicle transport between the mitochondria and peroxisomes. Curr Biol. 2010;20:1310–1315. doi: 10.1016/j.cub.2010.05.066. [DOI] [PubMed] [Google Scholar]
- 35.Soubannier V, Rippstein P, Kaufman BA, Shoubridge EA, McBride HM. Reconstitution of mitochondria derived vesicle formation demonstrates selective enrichment of oxidized cargo. PLoS One. 2012;7:e52830. doi: 10.1371/journal.pone.0052830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.McLelland GL, Soubannier V, Chen CX, McBride HM, Fon EA. Parkin and PINK1 function in a vesicular trafficking pathway regulating mitochondrial quality control. EMBO J. 2014;33:282–295. doi: 10.1002/embj.201385902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yu R, et al. MIEF1/2 function as adaptors to recruit Drp1 to mitochondria and regulate the association of Drp1 with Mff. Sci Rep. 2017;7:880. doi: 10.1038/s41598-017-00853-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Lash, L. H. & Sall, J. M. In Mitochondrial Dysfunction Vol. 2 Methods in toxicology (ed L. H. and Jones Lash, D. P.) Ch. 1, v.8–28 (Academic Press, 1993).
- 39.Matheoud D, et al. Parkinson’s Disease-Related Proteins PINK1 and Parkin Repress Mitochondrial Antigen Presentation. Cell. 2016;166:314–327. doi: 10.1016/j.cell.2016.05.039. [DOI] [PubMed] [Google Scholar]
- 40.Klingenberg, M. In Oxidation and Phosphorylation Vol. 10 Methods in Enzymology 3–7 (Academic Press, 1967).
- 41.Dukes AA, et al. Live imaging of mitochondrial dynamics in CNS dopaminergic neurons in vivo demonstrates early reversal of mitochondrial transport following MPP(+) exposure. Neurobiol Dis. 2016;95:238–249. doi: 10.1016/j.nbd.2016.07.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kaplan ES, et al. Early mitochondrial abnormalities in hippocampal neurons cultured from Fmr1 pre-mutation mouse model. J Neurochem. 2012;123:613–621. doi: 10.1111/j.1471-4159.2012.07936.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.RK CY, et al. Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder. Nat Neurosci. 2017;20:602–611. doi: 10.1038/nn.4524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Merenlender-Wagner A, et al. Autophagy has a key role in the pathophysiology of schizophrenia. Mol Psychiatry. 2015;20:126–132. doi: 10.1038/mp.2013.174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sarkar S, et al. Lithium induces autophagy by inhibiting inositol monophosphatase. J Cell Biol. 2005;170:1101–1111. doi: 10.1083/jcb.200504035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Zschocke J, et al. Antidepressant drugs diversely affect autophagy pathways in astrocytes and neurons–dissociation from cholesterol homeostasis. Neuropsychopharmacology. 2011;36:1754–1768. doi: 10.1038/npp.2011.57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Rugarli EI, Langer T. Mitochondrial quality control: a matter of life and death for neurons. EMBO J. 2012;31:1336–1349. doi: 10.1038/emboj.2012.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zigdon H, et al. Ablation of ceramide synthase 2 causes chronic oxidative stress due to disruption of the mitochondrial respiratory chain. J Biol Chem. 2013;288:4947–4956. doi: 10.1074/jbc.M112.402719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Vreken P, et al. Defective remodeling of cardiolipin and phosphatidylglycerol in Barth syndrome. Biochem Biophys Res Commun. 2000;279:378–382. doi: 10.1006/bbrc.2000.3952. [DOI] [PubMed] [Google Scholar]
- 50.Hebbar S, et al. Ceramides And Stress Signalling Intersect With Autophagic Defects In Neurodegenerative Drosophila blue cheese (bchs) Mutants. Sci Rep. 2015;5:15926. doi: 10.1038/srep15926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Stouffer MA, Golden JA, Francis F. Neuronal migration disorders: Focus on the cytoskeleton and epilepsy. Neurobiol Dis. 2016;92:18–45. doi: 10.1016/j.nbd.2015.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Herculano-Houzel S, Lent R. Isotropic fractionator: a simple, rapid method for the quantification of total cell and neuron numbers in the brain. J Neurosci. 2005;25:2518–2521. doi: 10.1523/JNEUROSCI.4526-04.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Haack TB, et al. Absence of the Autophagy Adaptor SQSTM1/p62 Causes Childhood-Onset Neurodegeneration with Ataxia, Dystonia, and Gaze Palsy. Am J Hum Genet. 2016;99:735–743. doi: 10.1016/j.ajhg.2016.06.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Liu D, Diorio J, Day JC, Francis DD, Meaney MJ. Maternal care, hippocampal synaptogenesis and cognitive development in rats. Nat Neurosci. 2000;3:799–806. doi: 10.1038/77702. [DOI] [PubMed] [Google Scholar]
- 55.Fleming AS, O’Day DH, Kraemer GW. Neurobiology of mother-infant interactions: experience and central nervous system plasticity across development and generations. Neurosci Biobehav Rev. 1999;23:673–685. doi: 10.1016/S0149-7634(99)00011-1. [DOI] [PubMed] [Google Scholar]
- 56.Francis D, Diorio J, Liu D, Meaney MJ. Nongenomic transmission across generations of maternal behavior and stress responses in the rat. Science. 1999;286:1155–1158. doi: 10.1126/science.286.5442.1155. [DOI] [PubMed] [Google Scholar]
- 57.Dottori M, et al. EphA4 (Sek1) receptor tyrosine kinase is required for the development of the corticospinal tract. Proc Natl Acad Sci USA. 1998;95:13248–13253. doi: 10.1073/pnas.95.22.13248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Helmbacher F, Schneider-Maunoury S, Topilko P, Tiret L, Charnay P. Targeting of the EphA4 tyrosine kinase receptor affects dorsal/ventral pathfinding of limb motor axons. Development. 2000;127:3313–3324. doi: 10.1242/dev.127.15.3313. [DOI] [PubMed] [Google Scholar]
- 59.Eberhart J, Swartz ME, Koblar SA, Pasquale EB, Krull CE. EphA4 constitutes a population-specific guidance cue for motor neurons. Dev Biol. 2002;247:89–101. doi: 10.1006/dbio.2002.0695. [DOI] [PubMed] [Google Scholar]
- 60.Todd KL, et al. EphA4 Regulates Neuroblast and Astrocyte Organization in a Neurogenic Niche. J Neurosci. 2017;37:3331–3341. doi: 10.1523/JNEUROSCI.3738-16.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Cesa R, et al. Eph receptors are involved in the activity-dependent synaptic wiring in the mouse cerebellar cortex. PLoS One. 2011;6:e19160. doi: 10.1371/journal.pone.0019160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Willi R, et al. Loss of EphA4 impairs short-term spatial recognition memory performance and locomotor habituation. Genes Brain Behav. 2012;11:1020–1031. doi: 10.1111/j.1601-183X.2012.00842.x. [DOI] [PubMed] [Google Scholar]
- 63.Sheleg M, et al. Decreased maternal behavior and anxiety in ephrin-A5(−/−) mice. Genes Brain Behav. 2017;16:271–284. doi: 10.1111/gbb.12319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Kim HJ, et al. Deficient autophagy in microglia impairs synaptic pruning and causes social behavioral defects. Mol Psychiatry. 2017;22:1576–1584. doi: 10.1038/mp.2016.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Rumpf S, Lee SB, Jan LY, Jan YN. Neuronal remodeling and apoptosis require VCP-dependent degradation of the apoptosis inhibitor DIAP1. Development. 2011;138:1153–1160. doi: 10.1242/dev.062703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Schmid S, Wilson DA, Rankin CH. Habituation mechanisms and their importance for cognitive function. Front Integr Neurosci. 2014;8:97. doi: 10.3389/fnint.2014.00097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Ramaswami M. Network plasticity in adaptive filtering and behavioral habituation. Neuron. 2014;82:1216–1229. doi: 10.1016/j.neuron.2014.04.035. [DOI] [PubMed] [Google Scholar]
- 68.Napoli E, et al. Zdhhc13-dependent Drp1 S-palmitoylation impacts brain bioenergetics, anxiety, coordination and motor skills. Sci Rep. 2017;7:12796. doi: 10.1038/s41598-017-12889-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Keller A, Nesvizhskii AI, Kolker E, Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem. 2002;74:5383–5392. doi: 10.1021/ac025747h. [DOI] [PubMed] [Google Scholar]
- 70.Nesvizhskii AI, Keller A, Kolker E, Aebersold R. A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem. 2003;75:4646–4658. doi: 10.1021/ac0341261. [DOI] [PubMed] [Google Scholar]
- 71.Napoli E, Hung C, Wong S, Giulivi C. Toxicity of the flame-retardant BDE-49 on brain mitochondria and neuronal progenitor striatal cells enhanced by a PTEN-deficient background. Toxicol Sci. 2013;132:196–210. doi: 10.1093/toxsci/kfs339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Dagda RK, et al. Loss of PINK1 function promotes mitophagy through effects on oxidative stress and mitochondrial fission. J Biol Chem. 2009;284:13843–13855. doi: 10.1074/jbc.M808515200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Valente AJ, Maddalena LA, Robb EL, Moradi F, Stuart JA. A simple ImageJ macro tool for analyzing mitochondrial network morphology in mammalian cell culture. Acta Histochem. 2017;119:315–326. doi: 10.1016/j.acthis.2017.03.001. [DOI] [PubMed] [Google Scholar]
- 74.Zarbalis K, et al. A focused and efficient genetic screening strategy in the mouse: identification of mutations that disrupt cortical development. PLoS Biol. 2004;2:E219. doi: 10.1371/journal.pbio.0020219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Szklarczyk D, et al. The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Res. 2017;45:D362–D368. doi: 10.1093/nar/gkw937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Khodosh R, Augsburger A, Schwarz TL, Garrity PA. Bchs, a BEACH domain protein, antagonizes Rab11 in synapse morphogenesis and other developmental events. Development. 2006;133:4655–4665. doi: 10.1242/dev.02650. [DOI] [PubMed] [Google Scholar]
- 77.Simonsen A, et al. Genetic modifiers of the Drosophila blue cheese gene link defects in lysosomal transport with decreased life span and altered ubiquitinated-protein profiles. Genetics. 2007;176:1283–1297. doi: 10.1534/genetics.106.065011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Garapati, P. V. Image for “Axon guidance”, https://reactome.org (2009).
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