Literature DB >> 18728759

Ageing in a eusocial insect: molecular and physiological characteristics of life span plasticity in the honey bee.

D Münch1, G V Amdam, F Wolschin.   

Abstract

Commonly held views assume that ageing, or senescence, represents an inevitable, passive, and random decline in function that is strongly linked to chronological age. In recent years, genetic intervention of life span regulating pathways, for example, in Drosophila as well as case studies in non-classical animal models, have provided compelling evidence to challenge these views.Rather than comprehensively revisiting studies on the established genetic model systems of ageing, we here focus on an alternative model organism with a wild type (unselected genotype) characterized by a unique diversity in longevity - the honey bee.Honey bee (Apis mellifera) life span varies from a few weeks to more than 2 years. This plasticity is largely controlled by environmental factors. Thereby, although individuals are closely related genetically, distinct life histories can emerge as a function of social environmental change.Another remarkable feature of the honey bee is the occurrence of reverted behavioural ontogeny in the worker (female helper) caste. This behavioural peculiarity is associated with alterations in somatic maintenance functions that are indicative of reverted senescence. Thus, although intraspecific variation in organismal life span is not uncommon, the honey bee holds great promise for gaining insights into regulatory pathways that can shape the time-course of ageing by delaying, halting or even reversing processes of senescence. These aspects provide the setting of our review.We will highlight comparative findings from Drosophila melanogaster and Caenorhabditis elegans in particular, and focus on knowledge spanning from molecular- to behavioural-senescence to elucidate how the honey bee can contribute to novel insights into regulatory mechanisms that underlie plasticity and robustness or irreversibility in ageing.

Entities:  

Year:  2008        PMID: 18728759      PMCID: PMC2525450          DOI: 10.1111/j.1365-2435.2008.01419.x

Source DB:  PubMed          Journal:  Funct Ecol        ISSN: 0269-8463            Impact factor:   5.608


  162 in total

1.  A mutant Drosophila insulin receptor homolog that extends life-span and impairs neuroendocrine function.

Authors:  M Tatar; A Kopelman; D Epstein; M P Tu; C M Yin; R S Garofalo
Journal:  Science       Date:  2001-04-06       Impact factor: 47.728

Review 2.  Protein oxidation.

Authors:  E R Stadtman; R L Levine
Journal:  Ann N Y Acad Sci       Date:  2000       Impact factor: 5.691

3.  Molecular signals versus the Loi de Balancement.

Authors: 
Journal:  Trends Ecol Evol       Date:  2001-01-01       Impact factor: 17.712

4.  The metabolic cost of neural information.

Authors:  S B Laughlin; R R de Ruyter van Steveninck; J C Anderson
Journal:  Nat Neurosci       Date:  1998-05       Impact factor: 24.884

5.  Prolonged activation of cAMP-dependent protein kinase during conditioning induces long-term memory in honeybees.

Authors:  U Müller
Journal:  Neuron       Date:  2000-07       Impact factor: 17.173

6.  Extension of life-span with superoxide dismutase/catalase mimetics.

Authors:  S Melov; J Ravenscroft; S Malik; M S Gill; D W Walker; P E Clayton; D C Wallace; B Malfroy; S R Doctrow; G J Lithgow
Journal:  Science       Date:  2000-09-01       Impact factor: 47.728

Review 7.  Searching for the memory trace in a mini-brain, the honeybee.

Authors:  R Menzel
Journal:  Learn Mem       Date:  2001 Mar-Apr       Impact factor: 2.460

Review 8.  Insect juvenile hormone: from "status quo" to high society.

Authors:  K Hartfelder
Journal:  Braz J Med Biol Res       Date:  2000-02       Impact factor: 2.590

9.  Autonomous control of cell and organ size by CHICO, a Drosophila homolog of vertebrate IRS1-4.

Authors:  R Böhni; J Riesgo-Escovar; S Oldham; W Brogiolo; H Stocker; B F Andruss; K Beckingham; E Hafen
Journal:  Cell       Date:  1999-06-25       Impact factor: 41.582

10.  Correlation between protein and mRNA abundance in yeast.

Authors:  S P Gygi; Y Rochon; B R Franza; R Aebersold
Journal:  Mol Cell Biol       Date:  1999-03       Impact factor: 4.272

View more
  38 in total

1.  Disentangling the aging gene expression network of termite queens.

Authors:  José Manuel Monroy Kuhn; Karen Meusemann; Judith Korb
Journal:  BMC Genomics       Date:  2021-05-11       Impact factor: 3.969

2.  Early gut colonizers shape parasite susceptibility and microbiota composition in honey bee workers.

Authors:  Ryan S Schwarz; Nancy A Moran; Jay D Evans
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-01       Impact factor: 11.205

3.  Worker senescence and the sociobiology of aging in ants.

Authors:  Ysabel Milton Giraldo; James F A Traniello
Journal:  Behav Ecol Sociobiol       Date:  2014-12       Impact factor: 2.980

4.  Mitigating effects of pollen during paraquat exposure on gene expression and pathogen prevalence in Apis mellifera L.

Authors:  Igor Medici de Mattos; Ademilson E E Soares; David R Tarpy
Journal:  Ecotoxicology       Date:  2017-10-24       Impact factor: 2.823

Review 5.  Weight of evidence evaluation of a network of adverse outcome pathways linking activation of the nicotinic acetylcholine receptor in honey bees to colony death.

Authors:  Carlie A LaLone; Daniel L Villeneuve; Judy Wu-Smart; Rebecca Y Milsk; Keith Sappington; Kristina V Garber; Justin Housenger; Gerald T Ankley
Journal:  Sci Total Environ       Date:  2017-01-24       Impact factor: 7.963

6.  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

7.  Dead or alive: deformed wing virus and Varroa destructor reduce the life span of winter honeybees.

Authors:  Benjamin Dainat; Jay D Evans; Yan Ping Chen; Laurent Gauthier; Peter Neumann
Journal:  Appl Environ Microbiol       Date:  2011-12-16       Impact factor: 4.792

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

Authors:  F Wolschin; D Münch; G V Amdam
Journal:  J Exp Biol       Date:  2009-12       Impact factor: 3.312

Review 9.  Integrating evolutionary and molecular genetics of aging.

Authors:  Thomas Flatt; Paul S Schmidt
Journal:  Biochim Biophys Acta       Date:  2009-07-18

10.  Lifetime- and caste-specific changes in flight metabolic rate and muscle biochemistry of honeybees, Apis mellifera.

Authors:  Marie-Pierre Schippers; Reuven Dukas; Grant B McClelland
Journal:  J Comp Physiol B       Date:  2009-07-04       Impact factor: 2.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.