Summary
Mitochondrial function relies on multiple quality control mechanisms, including the release of mitochondrial vesicles. To investigate the ultrastructure and prevalence of mitochondrial membranous protrusions (and, by extension, vesicles) in neurons, we surveyed mitochondria in rat and planarian brains using transmission electron microscopy (EM). We observed that mitochondrial protrusions mostly extend from the outer membrane. Leveraging available 3D EM datasets of the brain, we further analyzed mitochondrial protrusions in neurons of mouse and Drosophila brains, identifying high-resolution spatial views of these protrusions. To assess whether the abundance of mitochondrial protrusions and mitochondria-derived vesicles respond to cellular stress, we examined neurons expressing fluorescently tagged mitochondrial markers using confocal microscopy with Airyscan and found increased numbers of mitochondrial protrusions and vesicles with mild stress. Future studies using improved spatial resolution with added temporal information may further define the functional implications of mitochondrial protrusions and vesicles in neurons.
Subject Areas: Optical Imaging, Neuroscience, Cell Biology, Structural Biology
Graphical Abstract
Highlights
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2D and 3D EM visualizes mitochondrial protrusions in the brain
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Rodent, Drosophila, and planarian neurons display similar ultrastructure of protrusions
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Light microscopy of mitochondrial markers shows mitochondrial protrusions and vesicles
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Neurons under mild stress produce more mitochondrial protrusions and vesicles
Optical Imaging; Neuroscience; Cell Biology; Structural Biology
Introduction
A well-studied quality control mechanism for mitochondria is mitophagy, a specialized form of autophagy in which unhealthy mitochondria are surrounded by autophagosomes and subsequently broken up by lysosomes (Gatica et al., 2018; Parzych and Klionsky, 2014; Pickles et al., 2018). In addition to mitophagy, burgeoning evidence suggests that vesicles that bud from mitochondria, dubbed mitochondria-derived vesicles (Cadete et al., 2016; McLelland et al., 2014; Roberts et al., 2016; Sugiura et al., 2014; Yamashita et al., 2016), are another mechanism for cells to maintain healthy mitochondria (Misgeld and Schwarz, 2017; Youle, 2019). These small mitochondrial vesicles (50–150 nm) often carry oxidized proteins (Soubannier et al., 2012b; Sugiura et al., 2014). Although the specific proteins being carried by these vesicles vary depending on the types of cellular stress (Soubannier et al., 2012a, 2012b; Sugiura et al., 2014), the vesicles mostly end up merging with lysosomes (Soubannier et al., 2012a; McLelland et al., 2014) or peroxisomes (Braschi et al., 2010; Neuspiel et al., 2008), suggesting that their primary role is to remove and dispose of damaged mitochondrial proteins or small parts of the organelle. Because the cellular stresses that elicit the production of the mitochondrial vesicles are in general milder than the stresses that trigger mitophagy, it is believed that the mitochondrial vesicles provide a constant or early-step quality control mechanism for the mitochondria prior to mitophagy (Cadete et al., 2016; Misgeld and Schwarz, 2017; Picca et al., 2020; Youle, 2019).
There is also evidence that the mitochondrial vesicles have other roles besides disposal of mitochondrial bits. In immune cells, the mitochondrial vesicles are directly involved in presenting mitochondrial antigens to the plasma membrane (Matheoud et al., 2016). In bacteria-infected macrophages, mitochondrial vesicles facilitate destroying pathogens by supplying the phagosomes with H2O2 (Abuaita et al., 2018). In neurons, where the mitochondria must adapt to an intricate cellular architecture and meet high energy demands (Ashrafi et al., 2020; Harris et al., 2012; Misgeld and Schwarz, 2017; Rangaraju et al., 2019), mitochondrial vesicles carry out specialized functions. For example, in neurons under mild stress or in neurons involved in certain chronic pathological conditions, the mitochondrial vesicles liberate the mitochondrion-anchoring protein Syntaphilin from mitochondria, thus allowing the stressed mitochondria to traffic to the cell body for repair before activation of mitophagy (Lin et al., 2017). Notably, Syntaphilin exists only in axonal mitochondria (Kang et al., 2008; Lin et al., 2017); therefore, the vesicle-mediated Syntaphilin release may serve as a specific mechanism for maintaining and renewing mitochondria that reside in long and extended axons.
In principle, mitochondrial vesicles in different parts of the neuron or in different types of neurons and other brain cells could have diverse specialized roles in sustaining healthy and competent mitochondria; therefore, there is a need for a comprehensive understanding of mitochondrial vesicles in brain cells. In this study, we examined and characterized mitochondrial membranous protrusions and vesicles in the rodent, planarian, and Drosophila brains using electron microscopy (EM) and in cultured neurons using light microscopy.
Results
Mitochondrial Protrusions in Brain Cells
We first surveyed the rat brain using conventional transmission electron microscopy (TEM). Focusing on neurons in the CA1 stratum radiatum/pyramidale area of the hippocampus, we readily observed membranous protrusions on mitochondria (Figure 1). In general, these mitochondrial protrusions were small, with a diameter of 50–150 nm; some of them had pointed tops and wide bases (i.e., Figures 1A, 1D, and 1L), whereas others had rounded tops and tapered bases (i.e., Figures 1F and 1G). In a few cases, the protrusions were relatively large with elongated necks extending from the mitochondria (Figures 1B and 1E). Regardless of the size and shape, most of the mitochondrial protrusions contained a single membrane—a continuation of the outer membrane of the parent mitochondria (arrowheads); on rare occasions, we observed mitochondrial protrusions including both the outer and inner mitochondrial membranes (double arrowheads; Figures 1H–1K).
To evaluate whether these findings could extend to other species, we examined the brain of the planarian flatworm, the simplest animals with a definitive brain (Petralia et al., 2015, 2016). In the planarian brain, we found examples of protrusions on mitochondria located in synapses or synaptic vesicle-filled axonal terminals and in various processes interspersed in the neuropil (Figure 2). Overall, the size and morphology of the mitochondrial protrusions in the planarian brain were similar to those in the rat brain. For example, the planarian mitochondrial protrusions shown in Figure 2E were almost identical in shape and size to the rat protrusions shown in Figures 1A and 1D. The membrane compositions of the mitochondrial protrusions were also similar between the two species: many protrusions contained the single outer mitochondrial membrane (single arrowheads); only some included both the outer and inner mitochondrial membranes (double arrowheads in Figures 2F–2H). Thus, membrane protrusions are a phylogenetically conserved feature of neuronal mitochondria from the rat to the planarian.
Three-Dimensional Ultrastructure of Mitochondrial Protrusions in Neurons
To further investigate the ultrastructure of the mitochondrial protrusions in a spatial context, we leveraged the opensource 3D EM datasets, such as FIB-SEM (focused ion beam-scanning electron microscopy). In the initial course of this study, we evaluated ∼15 different 3D SEM datasets produced from various parts of the brain. Although these datasets achieved the purposes of their original studies, not all of them were adequate for analyzing mitochondrial protrusions. One such example was the mouse CA1 FIB-SEM dataset. The CA1 FIB-SEM dataset has a voxel of 8 × 8 × 8 nm, and using this dataset, we had previously segmented and measured the size of neuronal mitochondria (Delgado et al., 2019). However, the staining quality of the EM images was not sufficient to resolve the double membranes of mitochondria, a requirement for analyzing mitochondrial protrusions (Figure S1). In addition, some minor misalignment in parts of the CA1 FIB-SEM dataset added another obstacle for tracing small cellular structures such as mitochondrial protrusions.
We chose to examine the mouse nucleus accumbens FIB-SEM dataset (Wu et al., 2017; Xu et al., 2017), which has a voxel of 4 × 4 × 4 nm, excellent staining quality, and seamless alignment. Using this dataset, we and others were able to acquire spatial information for neuronal mitochondria (Delgado et al., 2019; Wu et al., 2017). For investigating mitochondrial protrusions, as illustrated in Figures 3 and S2, this dataset offered well-resolved fine details.
Figure 3A shows a mitochondrial protrusion (arrowheads) in sequential images in the z direction of a nucleus accumbens neuron. The protrusion, round shaped with a short constricted neck, is the extension of the mitochondrial outer membrane; as the image stacks progress in the z direction, the protrusion appears “detached” from the parent mitochondrion; instead, it adjoins a nearby tubulovesicular structure (arrowheads in Figure 3A; also see Video S1). Figures 3B and 3C show additional examples of mitochondrial protrusions in nucleus accumbens neurons. Figures 3D–3G show examples of mitochondrial protrusions that do not exhibit constricted necks. Notably, some of these protrusions seemed to be in direct contact with neighboring tubular structures (arrows in Figures 3C, 3D, and 3G and Video S2). Also, as shown in Figure 3F, the tip of the mitochondrial protrusion (arrowheads) contacted a structure that displays features of a recycling endosome (arrow).
To quantify the prevalence of mitochondrial protrusions in nucleus accumbens neurons, we inspected a total of 58 axonal mitochondria and 42 dendritic mitochondria in their entirety in z dimensions. We focused our investigation on two neuronal compartments, axons and dendrites, which were defined on the basis of their continuity to the synapse (Figures S2E and 2F). Approximately 50% of axonal mitochondria had protrusions, whereas nearly 85% of dendritic mitochondria had protrusions and many mitochondria had more than one protrusion (Figures 3H and 3I). Note that we did not include in our analysis small vesiculate structures that did not exhibit unambiguous connections to any mitochondria, despite being in the immediate vicinity of mitochondria (Figure S2).
We next examined a mouse somatosensory cortex dataset produced using ATUM-SEM (automatic tape-collecting ultramicrotome-scanning electron microscopy); this dataset consists of 1,850 aligned images with a voxel of 6 × 6 × 30 nm (Kasthuri et al., 2015). We focused on examining mitochondria in neurons. Figure 4A shows a single image from the cortex ATUM-SEM image stack that includes several mitochondria in axons or dendrites. One mitochondrion has a small bubble-like structure protruding outward (red box in Figure 4A). Following this mitochondrion on sequential images in z dimensions (arrowheads in Figure 4A), the neck of the protrusion is first seen constricted; on the following image, the protrusion appears as a vesicle separating from the mitochondrion. Figure 4B shows three different protrusions from the same mitochondrion. Figures 4C–4E and Figure S4 illustrate additional examples of mitochondrial protrusions. We inspected a total of 400 axonal mitochondria and 200 dendritic mitochondria in their entirety in z dimensions for the presence and the number of mitochondrial protrusions. Interestingly, we found that ∼10% of axonal mitochondria had protrusions, whereas ∼80% of dendritic mitochondria had protrusions (Figures 4F and 4G). Our analysis possibly underestimated the total number of the protrusions, as the 30-nm z resolution of the cortex ATUM-SEM dataset is likely insufficient to reveal a fraction of the small mitochondrial protrusions.
We next examined the neuropil of the Drosophila protocerebral bridge, a brain region involved in coordinating locomotor behavior. The FIB-SEM dataset of the Drosophila protocerebral bridge has a voxel of 4 × 4 × 4 nm as well as superior staining quality and precise alignment (Xu et al., 2017), thus enabling the resolution of fine details of mitochondrial protrusions and allowing us to distinguish between protrusions and vesicles that sit next to mitochondria (i.e., Figures S2C and S2D). Figure 5A illustrates a mitochondrial protrusion in a presynaptic terminal, for which synaptic vesicles (sv) and a T-bar (T) are readily visible. The mitochondrial protrusion (upper arrowheads) is clearly seen to be derived from the mitochondrial outer membrane. Interestingly, the tip portion of this protrusion (lower arrowheads) extends to the synapse, almost to the midst of synaptic vesicles and the T-bar. Figure 5B is another example of a presynaptic mitochondrion, although the protrusion itself (arrowheads) is seen at 60–70 nm away from the synapse. Figure 5C shows two dendritic mitochondria with different shapes: one is round with a constricted neck (left arrowheads), and the other has a wide base (right arrowheads); notably, both protrusions are composed of the single outer membrane of the parent mitochondrion. Figures 5D–5H are additional examples of protrusions found on dendritic mitochondria. Interestingly, these dendritic mitochondrial protrusions are either positioned close to the synapse (arrowheads in Figures 5D and 5E) or are situated at the base of thin dendritic processes (arrowheads in Figures 5F–5H).
In previous studies of rat and mouse neurons, axonal mitochondria were found to be several folds smaller than dendritic mitochondria (Chicurel and Harris, 1992; Delgado et al., 2019; Kasthuri et al., 2015; Li et al., 2004; Popov et al., 2005). We thus sought to assess whether mitochondria in the protocerebral bridge neurons of Drosophila followed the same size pattern. Accordingly, we measured and compared the size of axonal and dendritic mitochondria. Unlike what has been observed in mammalian neurons, axonal mitochondria of the protocerebral bridge neurons were not smaller but rather significantly larger than dendritic mitochondria (axonal 0.55μm3 ± 0.11 versus dendritic 0.21μm3 ± 0.03, p = 0.0076, n = 20; Figure S5A). We next assessed whether a correlation exists between the number of the protrusions and the mitochondrial size. In the axon of protocerebral bridge neurons, the protrusion number was moderately correlated with mitochondrial size (r = 0.494, p = 0.027, n = 20); there was no significant correlation for those in dendrites (Figure 5I).
We also examined the Drosophila mushroom body FIB-SEM dataset, which has been used in reconstructing synaptic connections and in revealing new classes of synapses (Takemura et al., 2017). Although we found examples of mitochondrial protrusions (Figures S5C–S5E), the quality of the EM images did not allow in-depth structural and spatial analysis of mitochondrial protrusions.
Mitochondrial Protrusions and Vesicles in Primary Hippocampal Cultures
We extended our studies to mitochondria in dissociated rat hippocampal neuronal cultures. We transiently expressed mito-RFP (a mitochondrial matrix marker) and tom20-YFP (mitochondrial outer membrane marker) in a sparse population of cultured neurons. We used confocal fluorescence microscopy with Airyscan to visualize mitochondria and mitochondrial membrane-derived protrusions and vesicles (Figure 6A). We defined protrusions as tom20-YFP-illuminated structures protruding from, but still connecting to, the parent mitochondria (arrowheads in Figures 6 and S6), and vesicles as tom20-YFP puncta in the vicinity of, but not connecting to, mitochondria (arrows in Figures 6 and S6).
Box 1 in Figure 6B shows examples of budding protrusions that are still connected to mitochondria (arrowheads). Box 2 in Figure 6B shows vesicles that are separated from mitochondria. We noticed that some vesicles (i.e., low arrow in box 2) appeared to form complex tubulovesicular structures, consistent with some of the extensive protrusions seen with EM. Figures 6C and 6D illustrate protrusions with stubby or slender necks. Box 4 in Figure 6C shows a small piece of mitochondrion in the process of fission from the main portion of the mitochondrion joined by a narrow bridge (two opposing arrowheads). The locations of the protrusions in relation to the parent mitochondria varied; some were on the side, whereas others were at the end of the mitochondria (for example, Figures 6D and 6E). Inspecting these protrusions and vesicles in individual RGB channels, we found that most of them contained the tom20-YFP-illuminated outer mitochondrial membrane. Occasionally, we observed protrusions containing both tom20-YFP and mito-RFP. Figure 6F and its enlarged view illustrate an example of a protrusion containing both tom20-YFP and mito-RFP, which is strikingly similar to a mitochondrial protrusion containing the outer membrane and components of inner mitochondrial structures found in the cortex ATUM-SEM dataset (Figure 6G).
We next examined the abundance of mitochondrial protrusions and vesicles in neurons under normal basal condition and in neurons after mild stress. We focused our analysis on the tom20-YFP-illuminated protrusions and vesicles. Previous studies have shown that Antimycin A (AA), an inhibitor of complex III of the mitochondrial electron transport chain, when used at micromolar levels in cell lines or in purified bovine heart mitochondria, stimulated formation of the mitochondria-derived vesicles that selectively carry mitochondrial outer membrane proteins including tom20 (Soubannier et al., 2012a, 2012b). Experiments carried out in cultured neurons showed that a low dose (nanomolar range) of Antimycin A induced a mild and reversible mitochondrial stress without eliciting mitophagy (Lin et al., 2017). Accordingly, we used the mild-stress protocol by treating the neurons with 5 nM of Antimycin A for 5 h before assessing their mitochondria. Despite neuron-to-neuron and mitochondria-to-mitochondria variations, values averaged over 100 fluorescence images (67.8 μm2 per image) from five independent experiments (a total of 2054 mitochondria) exhibited a clear difference: mitochondria in the Antimycin A-treated neurons had significantly more mitochondrial protrusions and vesicles compared with the basal untreated control (protrusions: control 0.123 ± 0.012 versus AA-treated 0.241 ± 0.036, p = 0.0032, n = 50; vesicles: control 0.341 ± 0.036 versus AA-treated 1.038 ± 0.216, p = 0.0025, n = 50; Figures 6H, 6I, and S6). The number or size of mitochondria themselves, on the other hand, remained unchanged in Antimycin A-stressed neurons (Figures 6J and 6K).
Discussion
Using TEM, 3D SEM, and confocal fluorescence microscopy with Airyscan to visualize mitochondria, we have characterized mitochondrial membranous protrusions and vesicles in neurons of multiple species. The three approaches used in this study—2D EM, 3D EM, and high-resolution light microscopy of fluorescent mitochondrial markers—uncovered different facets of these protrusions and vesicles. The TEM analysis of the rat and planarian brain showed similar ultrastructural features of mitochondrial protrusions in two phylogenetically distant species, albeit no spatial information was revealed and the sampling size was limited. These limitations were overcome by analysis of 3D SEM, which elucidated the nanoscale details of the mitochondrial protrusions and their spatial relationship to some of the surrounding cellular structures. Furthermore, the 3D SEM allowed assessment of the proportion of the protrusion-bearing mitochondria in the brain and the frequency of the protrusions across entire mitochondria. Fluorescence microscopy of mitochondrial markers complemented the EM analyses, as it offered an evaluation of the abundance of the mitochondrial protrusions and vesicles in neurons in normal conditions and after mild mitochondrial stress.
Many 3D SEM datasets have been produced for the brain in recent years. These datasets have provided a powerful tool for understanding the complexity of the brain at the cellular and subcellular levels (Bock et al., 2011; Kasthuri et al., 2015; Lee et al., 2016; Takemura et al., 2017; Tomassy et al., 2014; Wang et al., 2020; Wanner et al., 2016). Investigating mitochondrial protrusions or vesicles, however, poses high demands in terms of voxel resolutions and EM image quality. Image stacks with a z resolution of 50 nm or more likely fail to reveal populations of small protrusions. Datasets with high voxel resolutions, but without adequate staining or alignment, are also insufficient to resolve fine details of mitochondria and their protrusions (for example, Figure S1).
Among the FIB-SEM datasets we analyzed in this study, the mouse nucleus accumbens (Wu et al., 2017; Xu et al., 2017) and Drosophila protocerebral bridge (Xu et al., 2017) have superior image quality. In spite of their high voxel resolution (4 × 4 × 4 nm for both), excellent staining, and precise alignment, there is no time dimension; thus, we were unable to distinguish between vesicles that were derived from mitochondria and vesicles that were to fuse with mitochondria or potentially non-mitochondrial vesicles that happened to be nearby. For this reason, we focused our attention on mitochondrial protrusions, which had an unambiguous relationship to mitochondria, and observed the following characteristics. First, regarding shape, some protrusions have narrow constricted necks at their bases, whereas others have wide bases exhibiting a feature similar to the wide-based “blebs” described in a previous study of mitochondria-derived vesicles in non-neuronal cells (Sugiura et al., 2014). Second, regarding size, there seem to be two categories: small ones at a size of 50–150 nm in the x and y plane and visible only across a few images in the z directions and large ones, which can be traced across many images in z directions and often are found to be a part of nearby tubulovesicular structures (for additional examples, see Videos S1, S3, S4, and S5). Third, regarding membrane structure, it is interesting to note that the majority of the mitochondria we have observed extended from the single outer mitochondrial membrane.
To complement the EM findings, we used fluorescence microscopy to examine mitochondria in cultured neurons expressing tom20-YFP. We reasoned that we could use mitochondrial outer membrane protein tom20 to decipher protrusions (still attached to the parent mitochondria) and vesicles (have detached from mitochondria) (Figures 6 and S6). Using this system, we determined basal amounts of mitochondrial protrusions and vesicles in neurons and their substantially higher abundance in neurons in response to Antimycin A-induced stress. Whether the stress-elicited prevalence of mitochondrial vesicles observed in cultured neurons can be expanded to the brain and neurons in vivo awaits future investigation.
The findings of this study suggest that generation of protrusions and vesicles is an important aspect of mitochondrial function under normal and pathological conditions. Future studies combining techniques with high spatial and temporal resolutions are required to reveal the functional implications of mitochondrial protrusion and vesicle production in neurons and their potential implication in disease pathogenesis.
Limitations of the Study
This study had several strengths, and also paired limitations. First, we have examined mitochondrial protrusions using TEM and 3D SEM and revealed similar ultrastructural features in neuronal cells from rodent to planarian to Drosophila. It will be informative to also examine the interaction or physical contact between mitochondrial protrusions and other cellular organelles including but not limited to endosomes, lysosomes, and peroxisomes. Second, we examined two neuronal compartments, axons and dendrites, revealing commonalities, and also differences that may reflect different functions and quality control mechanisms. It will be useful to also examine mitochondria and their protrusions in the soma of neurons and in other brain cells including glia and cells of the blood-brain barrier. Third, we noticed a seemingly differential prevalence of mitochondrial protrusions in axons versus dendrites. Given that mitochondria in axons and dendrites have difference sizes, it will be valuable to determine, if in fact, the size or site of mitochondria determines the prevalence of these protrusions. More broadly, future studies should explore factors, constitutional traits of different neuronal compartments, and cellular functional states that may dictate the formation of mitochondrial protrusions. Fourth, our TEM and 3D SEM analyses could only identify protrusions but not bona fide mitochondria-derived vesicles. It will be important to investigate which and when mitochondrial protrusions progress toward mitochondrial vesicles. Finally, we investigated the abundance of mitochondrial protrusions and vesicles in neurons under mild stress. It will be critically important to understand the functions of mitochondrial vesicles in normal and pathological neurons.
Resource Availability
Lead Contact
Further information and requests for resources and reagents should be directed to and fulfilled by the Lead Contact, Pamela J. Yao (Pamela.Yao@nih.gov).
Materials Availability
This study did not generate new unique reagents.
Data and Code Availability
The published article includes all datasets analyzed during the study.
Methods
All methods can be found in the accompanying Transparent Methods supplemental file.
Acknowledgment
We would like thank Dr. Harald F. Hess for providing nucleus accumbens FIB-SEM dataset and helpful discussions and Dr Harald F. Hess and Dr. Shan C. Xu for providing Drosophila protocerebral bridge and mushroom body FIB-SEM datasets. We thank Dr. Daniel R. Berger for valuable assistance with the annotating software VAST. We also thank Dr. Carolyn Ott, Dr. Jennifer Lippincott-Schwartz, and Dr. Chad Williamson for reagents and insightful discussions. This study was supported by the Intramural Research Programs of NIA, NIH, and NIDCD, NIH. The Advanced Imaging Core code is ZIC DC000081.
Author Contributions
P.J.Y. designed experiments; P.J.Y., R.S.P., E.E., J.W.G., and Y.-X.W. conducted experiments; P.J.Y., R.S.P., E.E., and D.K. analyzed data; P.J.Y. wrote the manuscript; R.S.P. and D.K. edited the manuscript; and all authors reviewed the manuscript.
Declaration of Interests
The authors declare no competing interests.
Published: September 25, 2020
Footnotes
Supplemental Information can be found online at https://doi.org/10.1016/j.isci.2020.101514.
Contributor Information
Pamela J. Yao, Email: pamela.yao@nih.gov.
Dimitrios Kapogiannis, Email: kapogiannisd@mail.nih.gov.
Supplemental Information
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The published article includes all datasets analyzed during the study.