Literature DB >> 19946081

Structural and proteomic analyses reveal regional brain differences during honeybee aging.

F Wolschin1, D Münch, G V Amdam.   

Abstract

Among insects, learning is particularly well studied in the fruit fly Drosophila melanogaster and the honeybee Apis mellifera. A senescence-dependent decline in classic pavlovian conditioning is demonstrated for both species. To understand how aging affects learning, genetic approaches used with Drosophila can benefit from complementary studies in Apis. Specifically, honeybees have a larger brain size allowing for compartment-specific approaches, and a unique life-history plasticity. They usually perform within-nest tasks early in life (nest bees) and later they collect food (foragers). Senescence of learning performance is a function of the bees' foraging duration but underlying causes are poorly understood. As cognitive aging is commonly associated with structural and biochemical changes in the brain, we hypothesized that brain areas implicated in learning change in synaptic and biochemical composition with increased foraging duration. First, we used synapse-specific immunohistochemistry and proteomics to screen for alterations in the calyx region of the mushroom body, a key structure for memory formation. Using proteomics, we next profiled the central brain, which comprises all higher-order integration centers. We show that, with increased foraging duration, levels of kinases, synaptic- and neuronal growth-related proteins decline in the central brain while the calyx region remains intact both in structure and biochemistry. We suggest that proteome-level changes within major anatomical sites of memory formation other than the calyx region could be central to learning dysfunction. These include large compartments of the central brain, such as the mushroom body's output regions and the antennal lobes. Our data provide novel information toward heterogeneity in the aging insect brain, and demonstrate advantages of the honeybee for invertebrate neurogerontological research.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19946081      PMCID: PMC4075047          DOI: 10.1242/jeb.033845

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  36 in total

1.  Multiple sites of associative odor learning as revealed by local brain microinjections of octopamine in honeybees.

Authors:  M Hammer; R Menzel
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

2.  Localization of a short-term memory in Drosophila.

Authors:  T Zars; M Fischer; R Schulz; M Heisenberg
Journal:  Science       Date:  2000-04-28       Impact factor: 47.728

3.  Identification of proteins whose expression is up- or down-regulated in the mushroom bodies in the honeybee brain using proteomics.

Authors:  Yuko Uno; Tomoko Fujiyuki; Mizue Morioka; Hideaki Takeuchi; Takeo Kubo
Journal:  FEBS Lett       Date:  2006-12-12       Impact factor: 4.124

Review 4.  The aging brain.

Authors:  Bruce A Yankner; Tao Lu; Patrick Loerch
Journal:  Annu Rev Pathol       Date:  2008       Impact factor: 23.472

Review 5.  Protein kinase C, learning and memory: a circular determinism between physiology and behaviour.

Authors:  X Noguès
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  1997-04       Impact factor: 5.067

6.  Induction of a specific olfactory memory leads to a long-lasting activation of protein kinase C in the antennal lobe of the honeybee.

Authors:  L Grünbaum; U Müller
Journal:  J Neurosci       Date:  1998-06-01       Impact factor: 6.167

7.  Limits on volume changes in the mushroom bodies of the honey bee brain.

Authors:  Susan E Fahrbach; Sarah M Farris; Joseph P Sullivan; G E Robinson
Journal:  J Neurobiol       Date:  2003-11

8.  Plasticity and robustness of protein patterns during reversible development in the honey bee (Apis mellifera).

Authors:  Florian Wolschin; Gro V Amdam
Journal:  Anal Bioanal Chem       Date:  2007-09-06       Impact factor: 4.142

Review 9.  Olfaction and olfactory learning in Drosophila: recent progress.

Authors:  André Fiala
Journal:  Curr Opin Neurobiol       Date:  2008-02-01       Impact factor: 6.627

10.  Nervous wreck, an SH3 adaptor protein that interacts with Wsp, regulates synaptic growth in Drosophila.

Authors:  Ian P Coyle; Young-Ho Koh; Wyan-Ching Mimi Lee; Jessica Slind; Tim Fergestad; J Troy Littleton; Barry Ganetzky
Journal:  Neuron       Date:  2004-02-19       Impact factor: 17.173

View more
  19 in total

1.  Obtaining specimens with slowed, accelerated and reversed aging in the honey bee model.

Authors:  Daniel Münch; Nicholas Baker; Erik M K Rasmussen; Ashish K Shah; Claus D Kreibich; Lars E Heidem; Gro V Amdam
Journal:  J Vis Exp       Date:  2013-08-29       Impact factor: 1.355

2.  Insulin receptor substrate influences female caste development in honeybees.

Authors:  Florian Wolschin; Navdeep S Mutti; Gro V Amdam
Journal:  Biol Lett       Date:  2010-06-30       Impact factor: 3.703

3.  Flight restriction prevents associative learning deficits but not changes in brain protein-adduct formation during honeybee ageing.

Authors:  Christina C Tolfsen; Nicholas Baker; Claus Kreibich; Gro V Amdam
Journal:  J Exp Biol       Date:  2011-04-15       Impact factor: 3.312

4.  Brain proteomics of Anopheles gambiae.

Authors:  Sutopa B Dwivedi; Babylakshmi Muthusamy; Praveen Kumar; Min-Sik Kim; Raja Sekhar Nirujogi; Derese Getnet; Priscilla Ahiakonu; Gourav De; Bipin Nair; Harsha Gowda; T S Keshava Prasad; Nirbhay Kumar; Akhilesh Pandey; Mobolaji Okulate
Journal:  OMICS       Date:  2014-06-17

5.  Aging and its modulation in a long-lived worker caste of the honey bee.

Authors:  Daniel Münch; Claus D Kreibich; Gro V Amdam
Journal:  J Exp Biol       Date:  2013-05-01       Impact factor: 3.312

Review 6.  Structural aspects of the aging invertebrate brain.

Authors:  Sandra C Koch; Annie Nelson; Volker Hartenstein
Journal:  Cell Tissue Res       Date:  2021-01-06       Impact factor: 5.249

7.  In the laboratory and during free-flight: old honey bees reveal learning and extinction deficits that mirror mammalian functional decline.

Authors:  Daniel Münch; Nicholas Baker; Claus D Kreibich; Anders T Bråten; Gro V Amdam
Journal:  PLoS One       Date:  2010-10-19       Impact factor: 3.240

8.  The worker honeybee fat body proteome is extensively remodeled preceding a major life-history transition.

Authors:  Queenie W T Chan; Navdeep S Mutti; Leonard J Foster; Sarah D Kocher; Gro V Amdam; Florian Wolschin
Journal:  PLoS One       Date:  2011-09-28       Impact factor: 3.240

Review 9.  Proteomics and metabolomics in ageing research: from biomarkers to systems biology.

Authors:  Jessica M Hoffman; Yang Lyu; Scott D Pletcher; Daniel E L Promislow
Journal:  Essays Biochem       Date:  2017-07-11       Impact factor: 7.258

10.  Differential gene expression and protein abundance evince ontogenetic bias toward castes in a primitively eusocial wasp.

Authors:  James H Hunt; Florian Wolschin; Michael T Henshaw; Thomas C Newman; Amy L Toth; Gro V Amdam
Journal:  PLoS One       Date:  2010-05-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.