Fodor, István, Urbán, Péter, Kemenes, György, Koene, Joris M and Pirger, Zsolt (2020) Aging and disease-relevant gene products in the neuronal transcriptome of the great pond snail (Lymnaea stagnalis): a potential model of aging, age-related memory loss, and neurodegenerative diseases. Invertebrate Neuroscience, 20 (3). a9 1-5. ISSN 1354-2516

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Abstract

Modelling of human aging, age-related memory loss, and neurodegenerative diseases has developed into a progressive area in invertebrate neuroscience. Gold standard molluscan neuroscience models such as the sea hare (Aplysia californica) and the great pond snail (Lymnaea stagnalis) have proven to be attractive alternatives for studying these processes. Until now, A. californica has been the workhorse due to the enormous set of publicly available transcriptome and genome data. However, with growing sequence data, L. stagnalis has started to catch up with A. californica in this respect. To contribute to this and inspire researchers to use molluscan species for modelling normal biological aging and/or neurodegenerative diseases, we sequenced the whole transcriptome of the central nervous system of L. stagnalis and screened for the evolutionary conserved homolog sequences involved in aging and neurodegenerative/other diseases. Several relevant molecules were identified, including for example gelsolin, presenilin, huntingtin, Parkinson disease protein 7/Protein deglycase DJ-1, and amyloid precursor protein, thus providing a stable genetic background for L. stagnalis in this field. Our study supports the notion that molluscan species are highly suitable for studying molecular, cellular, and circuit mechanisms of the mentioned neurophysiological and neuropathological processes.

Item Type:	Article
Keywords:	Aging, Lymnaea stagnalis, Mollusc, Neurodegenerative diseases, cDNA sequencing
Schools and Departments:	School of Life Sciences > Neuroscience
SWORD Depositor:	Mx Elements Account
Depositing User:	Mx Elements Account
Date Deposited:	22 Feb 2021 09:01
Last Modified:	23 Feb 2022 10:35
URI:	http://sro.sussex.ac.uk/id/eprint/97303

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