The majority of axonal mitochondria in mammalian neurons lack mitochondrial DNA and do not produce ATP
Bibliographic record
Abstract
In neurons of the mammalian central nervous system (CNS), axonal mitochondria are thought to be indispensable for supplying ATP during energy-consuming processes such as neurotransmitter release. We have previously shown that glutamatergic excitatory cortical pyramidal neurons (CPNs) are characterized by a striking compartmentalization of mitochondrial structure. Axonal mitochondria are maintained at a small uniform size (~1 microns length) by high levels of MFF-dependent fission, whereas dendritic mitochondria form a highly fused network of mitochondria throughout the entire dendritic arbor(1, 2). Here, we tested whether these striking structural differences reflect functional and molecular compartmentalization. Using four independent techniques, we reveal that in CPNs as well as in two subtypes of GABAergic inhibitory cortical interneurons and neuromodulatory dopaminergic neurons of the substantia nigra, the majority of axonal, but not dendritic, mitochondria lack mitochondrial DNA (mtDNA) in vivo. We also show that axonal mitochondria are depleted in both mtDNA-encoded mRNAs and proteins compared to dendritic mitochondria. Timelapse imaging establishes that most mitochondria entering nascent dendritic and axonal processes from the soma are small and lack mtDNA. Using dynamic, optical imaging of genetically encoded sensors for ATP and pH targeted to the mitochondrial matrix, we demonstrate that in axons of CPNs, but not in their dendrites, mitochondrial F1F0-ATP synthase (Complex V) functions in a reverse way, hydrolyzing ATP and extruding H+ out of the matrix to maintain mitochondrial membrane potential. Our results indicate that in neurons of the mammalian CNS, the majority of axonal mitochondria lack mtDNA and likely do not play a major role in ATP generation, despite playing other functions such as regulation of neurotransmission via presynaptic Ca2+ buffering (1, 3-5).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".