bioRxivNeurosciencePreprint
Revealing conserved mechanisms of neurodegeneration in a colonial chordate
Chiara AnselmiiD, MA Kowarsky, Fabio GaspariniiD, Federico CaicciiD, Katherine J. Ishizuka, Karla J. Palmeri, R Sinhar, Norma F NeffiD, Stephen R. QuakeiD, Irving L. WeissmaniD, Ayelet VoskoboynikiD, Lucia ManniiD
Abstract
Loss of the brains functional ability is a common symptom of aging and neurodegenerative diseases1,2. While the genetic and molecular mechanisms underlying human neurodegeneration are studied in-depth3-6, very little is known about the evolutionary origin of these traits and their involvement in loss of nervous system function in aged invertebrate species. Here we study evolutionarily conserved elements of brain degeneration using the colonial chordate model species Botryllus schlosseri. B. schlosseri reproduces both sexually and asexually7, with adult brains regenerating and degenerating multiple times throughout its adult life. Combining microscopy, transcriptomics and behavioral assays, we characterized adult brains from diverse stages and ages. We found that the number of neurons fluctuates each week, reaching a maximum of [~]1000 cells, and thereafter decreasing while the number of immunocytes increases. Comparing the number of neurons in the adult brains of young and old colonies, we found that older brains are smaller and contain fewer cells. Both during weekly degeneration cycles and overall with age, the decrease in neuron number correlates with reduced response to stimuli and with significant changes in the expression of genes with mammalian homologs associated with neural stem cells and neurodegenerative pathways. These results suggest persistent neural stem cell activity across ages and that cellular and molecular mechanisms of neurodegeneration are evolutionary conserved between tunicates and humans.
- organism: non-human primate
- assay: bulk RNA-seq
- assay: imaging
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 5
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