Characterisation of Mitochondrial DNA Deletions by Long-PCR in Central Nervous System Regions of Young, Middle- and Old-aged Rats
Ashley Cahif, Gemma M. Parkinson, Christopher V. Dayas and Doug W. Smith
Affiliation: School of Biomedical Sciences and Pharmacy, Medical Sciences Building, Room 306C, University of Newcastle, Callaghan, NSW 2308, Australia.
Keywords: Ageing, animal model, long PCR, mitochondrial genome, mutations, nervous system.
The causes of ageing remain poorly understood, although a role for mitochondria is widely accepted. These
unique organelles that are responsible for a cell’s energy, rely on their own small genome and translational machinery to
produce proteins that, together with nuclear genome encoded proteins, form the electron transport chain complexes necessary
for ATP production. Various forms of mitochondrial genome mutation and rearrangements are thought to be involved
in the ageing process, particularly in post-mitotic cells, such as those of the nervous system. In the present study, we have
characterised mitochondrial DNA (mtDNA) deletion mutations in five central nervous system (CNS) regions of the
young, middle-aged, and old Fischer 344 (F344) rats. DNA was extracted from the cerebral cortex, striatum, midbrain,
cerebellum and spinal cord, and long-PCR was used to detect mtDNA with deletions in the minor and major arcs. This
approach has the advantage that all deletions can be detected without a priori knowledge of breakpoints. In the minor arc,
we found evidence for deletions in the striatum of five out of six old animals and in the spinal cords from two of six old
animals. In contrast, mtDNA deletions in the major arc appeared markedly more abundant, both in terms of affected CNS
regions and number of deleted mtDNA molecules. Furthermore, major arc deletions were apparent earlier with a number
of CNS regions showing deletions in the middle-aged group. The cerebral cortex, striatum and spinal cord were the most
affected regions, while the midbrain and cerebellum were relatively spared. These findings are remarkably consistent with
previous human brain data and further underscore the value of the rat model for investigation of ageing-related changes in
the mitochondrial genome.
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