Whole-transcriptome changes in gene expression accompany aging of sensory neurons in Aplysia californica

BackgroundLarge-scale molecular changes occur during aging and have many downstream consequences on whole-organism function, such as motor function, learning, and memory. The marine mollusk Aplysia californica can be used to study transcriptional changes that occur with age in identified neurons of the brain, because its simplified nervous system allows for more direct correlations between molecular changes, physiological changes, and their phenotypic outcomes. Behavioral deficits in the tail-withdrawal reflex of aged animals have been correlated with reduced excitation in sensory neurons that control the reflex. RNASeq was used to investigate whole-transcriptome changes in tail-withdrawal sensory neurons of sexually mature and aged Aplysia to correlate transcriptional changes with reduced behavioral and physiological responses.ResultsPaired-end sequencing resulted in 210 million reads used for differential expression analysis. Aging significantly altered expression of 1202 transcripts in sensory neurons underlying the tail-withdrawal reflex, with an approximately equal number of these genes up- and down regulated with age. Despite overall bidirectionality of expression changes, > 80% of ion channel genes that were differentially expressed had decreased expression with age. In particular, several voltage-gated K+ and Ca2+ channels were down regulated. This marked decrease in ion channel expression may play an important role in previously observed declines in aged sensory neuron excitability. We also observed decreased expression of genes and pathways involved in learning and memory. Genes involved in the stress response showed increased expression in aged Aplysia neurons.ConclusionsSignificantly altered expression of many genes between sexually mature and aged Aplysia suggests large molecular changes that may impact neuronal function. Decreased ion channel mRNA observed could mean fewer receptors present in aged neurons, resulting in reduced excitability of PVC sensory neurons, ultimately leading to reduced tail-withdrawal reflex observed in aged Aplysia. Significant changes in other genes and pathways, such as stress response and learning and memory, have previously been shown to occur with age in many vertebrate organisms. This suggests that some effects of aging are common across many animal phyla.

[1]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[2]  W. Markesbery,et al.  Functional history of two motor neurons and the morphometry of their neuromuscular junctions in the gill of Aplysia: evidence for differential aging. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[3]  B. Peretz,et al.  Age-diminished motor neuronal function of central neuron L7 in Aplysia. , 1982, Journal of neurobiology.

[4]  Andrew T. Kempsell,et al.  Aging in Sensory and Motor Neurons Results in Learning Failure in Aplysia californica , 2015, PloS one.

[5]  U. Brunk,et al.  Heat shock proteins: keys to healthy ageing? , 2009, Redox report : communications in free radical research.

[6]  Paul Theodor Pyl,et al.  HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.

[7]  P. Dutar,et al.  Alteration of NMDA receptor‐mediated synaptic responses in CA1 area of the aged rat hippocampus: Contribution of GABAergic and cholinergic deficits , 1998, Hippocampus.

[8]  Robert D. Finn,et al.  InterPro in 2011: new developments in the family and domain prediction database , 2011, Nucleic acids research.

[9]  Sheng Zhao,et al.  Comprehensive Algorithm for Quantitative Real-Time Polymerase Chain Reaction , 2005, J. Comput. Biol..

[10]  E. Roth,et al.  Aging-related neuromuscular changes characterized by tendon reflex system properties. , 2005, Archives of physical medicine and rehabilitation.

[11]  P. Jonas,et al.  Ionotropic Glutamate Receptors in the CNS , 1999, Handbook of Experimental Pharmacology.

[12]  I. Kohane,et al.  Gene regulation and DNA damage in the ageing human brain , 2004, Nature.

[13]  F. Sesti,et al.  Oxidation of ion channels in the aging nervous system , 2016, Brain Research.

[14]  Robert R. Kitchen,et al.  Parallel declines in cognition, motivation, and locomotion in aging mice: Association with immune gene upregulation in the medial prefrontal cortex , 2011, Experimental Gerontology.

[15]  Manuel Serrano,et al.  The Hallmarks of Aging , 2013, Cell.

[16]  C. Norris,et al.  Age‐associated changes in Ca2+‐dependent processes: Relation to hippocampal synaptic plasticity , 1997 .

[17]  R. Motter,et al.  Immunization with amyloid-β attenuates Alzheimer-disease-like pathology in the PDAPP mouse , 1999, Nature.

[18]  C A Barnes,et al.  Effects of aging on the dynamics of information processing and synaptic weight changes in the mammalian hippocampus. , 1990, Progress in brain research.

[19]  M. Tuszynski,et al.  Nerve Growth Factor Gene Therapy in Alzheimer Disease , 2007, Alzheimer disease and associated disorders.

[20]  Andrew T. Kempsell,et al.  Behavioral aging is associated with reduced sensory neuron excitability in Aplysia californica , 2014, Front. Aging Neurosci..

[21]  L. Fieber,et al.  Phylogenetic analysis of ionotropic L-glutamate receptor genes in the Bilateria, with special notes on Aplysia californica , 2017, BMC Evolutionary Biology.

[22]  S. Calderwood,et al.  Stress proteins in aging and life span , 2013, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[23]  E. Kandel,et al.  Mechanoafferent neurons innervating tail of Aplysia. I. Response properties and synaptic connections. , 1983, Journal of neurophysiology.

[24]  Thomas Unger,et al.  Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s CT difference” formula , 2006, Journal of Molecular Medicine.

[25]  E. Kandel,et al.  Classical conditioning in a simple withdrawal reflex in Aplysia californica , 1981, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[26]  E. Kandel,et al.  Huntingtin Is Critical Both Pre- and Postsynaptically for Long-Term Learning-Related Synaptic Plasticity in Aplysia , 2014, PloS one.

[27]  S. Mccann,et al.  The Nitric Oxide Theory of Aging Revisited , 2005, Annals of the New York Academy of Sciences.

[28]  V. Luine,et al.  Impaired Recognition Memory and Decreased Prefrontal Cortex Spine Density in Aged Female Rats , 2007, Annals of the New York Academy of Sciences.

[29]  J. Leza,et al.  Neuronal and inducible nitric oxide synthase and nitrotyrosine immunoreactivities in the cerebral cortex of the aging rat , 1998, Microscopy research and technique.

[30]  R. Leak Heat shock proteins in neurodegenerative disorders and aging , 2014, Journal of Cell Communication and Signaling.

[31]  Gregorio Valdez,et al.  Impact of Aging on Proprioceptive Sensory Neurons and Intrafusal Muscle Fibers in Mice , 2016, The journals of gerontology. Series A, Biological sciences and medical sciences.

[32]  J. Morrison,et al.  Selective Changes in Thin Spine Density and Morphology in Monkey Prefrontal Cortex Correlate with Aging-Related Cognitive Impairment , 2010, The Journal of Neuroscience.

[33]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[34]  C. B. Pickett,et al.  The Nrf2-Antioxidant Response Element Signaling Pathway and Its Activation by Oxidative Stress* , 2009, Journal of Biological Chemistry.

[35]  J. Byrne,et al.  Serotonin- and training-induced dynamic regulation of CREB2 in Aplysia. , 2011, Learning & memory.

[36]  Richard Weindruch,et al.  Gene-expression profile of the ageing brain in mice , 2000, Nature Genetics.

[37]  R. Dr Neurophysiology of Old Neurons and Synapses -- Brain Aging: Models, Methods, and Mechanisms , 2007 .

[38]  E. Kandel The Molecular Biology of Memory Storage: A Dialogue Between Genes and Synapses , 2001, Science.

[39]  A. Hamby,et al.  Clioquinol down-regulates mutant huntingtin expression in vitro and mitigates pathology in a Huntington's disease mouse model. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[40]  P. Dutar,et al.  Frontiers in Aging Neuroscience Aging Neuroscience Review Article , 2022 .

[41]  Andrew T. Kempsell,et al.  Age-related deficits in synaptic plasticity rescued by activating PKA or PKC in sensory neurons of Aplysia californica , 2015, Front. Aging Neurosci..

[42]  M. Cataldi,et al.  Modulation of ion channels by reactive oxygen and nitrogen species: a pathophysiological role in brain aging? , 2002, Neurobiology of Aging.

[43]  Leonid L. Moroz,et al.  Do Different Neurons Age Differently? Direct Genome-Wide Analysis of Aging in Single Identified Cholinergic Neurons , 2010, Front. Ag. Neurosci..

[44]  C. H. Bailey,et al.  Behavioral changes in aging Aplysia: a model system for studying the cellular basis of age-impaired learning, memory, and arousal. , 1983, Behavioral and neural biology.

[45]  T. Prolla,et al.  Evolution of the Aging Brain Transcriptome and Synaptic Regulation , 2008, PloS one.

[46]  Chuan-en Wang,et al.  Expression of mutant huntingtin in mouse brain astrocytes causes age-dependent neurological symptoms , 2009, Proceedings of the National Academy of Sciences.

[47]  T. Foster,et al.  Neurophysiology of Old Neurons and Synapses , 2007 .

[48]  B. McNaughton,et al.  Region‐specific age effects on AMPA sensitivity: Electrophysiological evidence for loss of synaptic contacts in hippocampal field CA1 , 1992, Hippocampus.

[49]  Sathyanarayanan V. Puthanveettil,et al.  Decreased Response to Acetylcholine during Aging of Aplysia Neuron R15 , 2013, PloS one.

[50]  M. Schmale,et al.  Changes in d-aspartate ion currents in the Aplysia nervous system with aging , 2010, Brain Research.

[51]  Alexander S. Bayden,et al.  Nitration of the tumor suppressor protein p53 at tyrosine 327 promotes p53 oligomerization and activation. , 2010, Biochemistry.

[52]  K. Kashfi,et al.  The dual role of iNOS in cancer☆ , 2015, Redox biology.

[53]  Sathyanarayanan V. Puthanveettil,et al.  Neuronal Transcriptome of Aplysia: Neuronal Compartments and Circuitry , 2006, Cell.

[54]  E. Kandel,et al.  MORPHOLOGICAL AND FUNCTIONAL PROPERTIES OF IDENTIFIED NEURONS IN THE ABDOMINAL GANGLION OF APLYSIA CALIFORNICA , 1967 .

[55]  Anthony C. Carvalloza,et al.  Age-associated bidirectional modulation of gene expression in single identified R15 neuron of Aplysia , 2013, BMC Genomics.

[56]  M. Robles,et al.  University of Birmingham High throughput functional annotation and data mining with the Blast2GO suite , 2022 .

[57]  T. Foster,et al.  Age-associated changes in Ca(2+)-dependent processes: relation to hippocampal synaptic plasticity. , 1997, Hippocampus.

[58]  Stuart K. Calderwood,et al.  The Shock of Aging: Molecular Chaperones and the Heat Shock Response in Longevity and Aging – A Mini-Review , 2009, Gerontology.

[59]  Anton Nekrutenko,et al.  Manipulation of FASTQ data with Galaxy , 2010, Bioinform..

[60]  J Licinio,et al.  The nitric oxide hypothesis of aging , 1998, Experimental Gerontology.

[61]  E. Mufson,et al.  Nerve growth factor in Alzheimer's disease: increased levels throughout the brain coupled with declines in nucleus basalis , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[62]  L. Fieber,et al.  Temperature effects on growth, maturation, and lifespan of the california sea hare (Aplysia californica). , 2005, Contemporary topics in laboratory animal science.

[63]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[64]  E. Stadtman,et al.  Protein Oxidation in Aging and Age‐Related Diseases , 2001, Annals of the New York Academy of Sciences.

[65]  J. Jhamandas,et al.  Glutamate system, amyloid ß peptides and tau protein: functional interrelationships and relevance to Alzheimer disease pathology. , 2013, Journal of psychiatry & neuroscience : JPN.

[66]  M. Pfaffl,et al.  A new mathematical model for relative quantification in real-time RT-PCR. , 2001, Nucleic acids research.

[67]  B. Yankner,et al.  Neural mechanisms of ageing and cognitive decline , 2010, Nature.

[68]  S. -. Park,et al.  On the role of major vault protein in the resistance of senescent human diploid fibroblasts to apoptosis , 2008, Cell Death and Differentiation.

[69]  Age-dependent behavioral changes and physiological changes in identified neurons in Aplysia californica. , 1981, Journal of neurobiology.