Literature DB >> 24022601

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

Daniel Münch1, Nicholas Baker, Erik M K Rasmussen, Ashish K Shah, Claus D Kreibich, Lars E Heidem, Gro V Amdam.   

Abstract

Societies of highly social animals feature vast lifespan differences between closely related individuals. Among social insects, the honey bee is the best established model to study how plasticity in lifespan and aging is explained by social factors. The worker caste of honey bees includes nurse bees, which tend the brood, and forager bees, which collect nectar and pollen. Previous work has shown that brain functions and flight performance senesce more rapidly in foragers than in nurses. However, brain functions can recover, when foragers revert back to nursing tasks. Such patterns of accelerated and reversed functional senescence are linked to changed metabolic resource levels, to alterations in protein abundance and to immune function. Vitellogenin, a yolk protein with adapted functions in hormonal control and cellular defense, may serve as a major regulatory element in a network that controls the different aging dynamics in workers. Here we describe how the emergence of nurses and foragers can be monitored, and manipulated, including the reversal from typically short-lived foragers into longer-lived nurses. Our representative results show how individuals with similar chronological age differentiate into foragers and nurse bees under experimental conditions. We exemplify how behavioral reversal from foragers back to nurses can be validated. Last, we show how different cellular senescence can be assessed by measuring the accumulation of lipofuscin, a universal biomarker of senescence. For studying mechanisms that may link social influences and aging plasticity, this protocol provides a standardized tool set to acquire relevant sample material, and to improve data comparability among future studies.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24022601      PMCID: PMC3856867          DOI: 10.3791/50550

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  24 in total

1.  A flow-cytometric method for quantification of neurolipofuscin and comparison with existing histological and biochemical approaches.

Authors:  M R J Sheehy
Journal:  Arch Gerontol Geriatr       Date:  2002 May-Jun       Impact factor: 3.250

2.  Reproductive protein protects functionally sterile honey bee workers from oxidative stress.

Authors:  Siri-Christine Seehuus; Kari Norberg; Ulrike Gimsa; Trygve Krekling; Gro V Amdam
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

3.  Honeybee trophocytes and fat cells as target cells for cellular senescence studies.

Authors:  Yu-Shan Hsieh; Chin-Yuan Hsu
Journal:  Exp Gerontol       Date:  2010-10-19       Impact factor: 4.032

4.  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

5.  The effects of age and behavioral development on honey bee (Apis mellifera) flight performance.

Authors:  Jason T Vance; Jason B Williams; Michelle M Elekonich; Stephen P Roberts
Journal:  J Exp Biol       Date:  2009-08       Impact factor: 3.312

6.  Honeybee colony integration: worker-worker interactions mediate hormonally regulated plasticity in division of labor.

Authors:  Z Y Huang; G E Robinson
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-15       Impact factor: 11.205

7.  RNAi-mediated silencing of vitellogenin gene function turns honeybee (Apis mellifera) workers into extremely precocious foragers.

Authors:  David Santos Marco Antonio; Karina Rosa Guidugli-Lazzarini; Adriana Mendes do Nascimento; Zilá Luz Paulino Simões; Klaus Hartfelder
Journal:  Naturwissenschaften       Date:  2008-06-11

Review 8.  Negligible senescence in the longest living rodent, the naked mole-rat: insights from a successfully aging species.

Authors:  Rochelle Buffenstein
Journal:  J Comp Physiol B       Date:  2008-01-08       Impact factor: 2.200

9.  Ontogeny of orientation flight in the honeybee revealed by harmonic radar.

Authors:  E A Capaldi; A D Smith; J L Osborne; S E Fahrbach; S M Farris; D R Reynolds; A S Edwards; A Martin; G E Robinson; G M Poppy; J R Riley
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

10.  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

View more
  8 in total

Review 1.  Non-mammalian Hosts and Photobiomodulation: Do All Life-forms Respond to Light?

Authors:  Michael R Hamblin; Ying-Ying Huang; Vladimir Heiskanen
Journal:  Photochem Photobiol       Date:  2018-07-23       Impact factor: 3.421

2.  New explanation for the longevity of social insect reproductives: Transposable element activity.

Authors:  Eric R Lucas; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-07       Impact factor: 11.205

Review 3.  Social modulation of ageing: mechanisms, ecology, evolution.

Authors:  Tyler P Quigley; Gro V Amdam
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-03-08       Impact factor: 6.237

Review 4.  Cytosine modifications in the honey bee (Apis mellifera) worker genome.

Authors:  Erik M K Rasmussen; Gro V Amdam
Journal:  Front Genet       Date:  2015-02-06       Impact factor: 4.599

5.  DNA base modifications in honey bee and fruit fly genomes suggest an active demethylation machinery with species- and tissue-specific turnover rates.

Authors:  Erik M K Rasmussen; Cathrine B Vågbø; Daniel Münch; Hans E Krokan; Arne Klungland; Gro V Amdam; John Arne Dahl
Journal:  Biochem Biophys Rep       Date:  2016-02-22

6.  Metabolic enzymes in glial cells of the honeybee brain and their associations with aging, starvation and food response.

Authors:  Ashish K Shah; Claus D Kreibich; Gro V Amdam; Daniel Münch
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

Review 7.  Autofluorescent Biomolecules in Diptera: From Structure to Metabolism and Behavior.

Authors:  Anna C Croce; Francesca Scolari
Journal:  Molecules       Date:  2022-07-12       Impact factor: 4.927

8.  Screening bioactive food compounds in honey bees suggests curcumin blocks alcohol-induced damage to longevity and DNA methylation.

Authors:  Erik M K Rasmussen; Kristine L Seier; Ingrid K Pedersen; Claus Kreibich; Gro V Amdam; Daniel Münch; John Arne Dahl
Journal:  Sci Rep       Date:  2021-09-27       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.