Literature DB >> 20836048

Nutritional regulation of division of labor in honey bees: toward a systems biology perspective.

Seth A Ament1, Ying Wang2, Gene E Robinson1,2,3,4.   

Abstract

Organisms adapt their behavior and physiology to environmental conditions through processes of phenotypic plasticity. In one well-studied example, the division of labor among worker honey bees involves a stereotyped yet plastic pattern of behavioral and physiological maturation. Early in life, workers perform brood care and other in-hive tasks and have large internal nutrient stores; later in life, they forage for nectar and pollen outside the hive and have small nutrient stores. The pace of maturation depends on colony conditions, and the environmental, physiological, and genomic mechanisms by which this occurs are being actively investigated. Here we review current knowledge of the mechanisms by which a key environmental variable, nutritional status, influences worker honey bee division of labor. These studies demonstrate that changes in individual nutritional status and conserved food-related molecular and hormonal pathways regulate the age at which individual bees begin to forage. We then outline ways in which systems biology approaches, enabled by the sequencing of the honey bee genome, will allow researchers to gain deeper insight into nutritional regulation of honey bee behavior, and phenotypic plasticity in general.

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Year:  2010        PMID: 20836048     DOI: 10.1002/wsbm.73

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  37 in total

1.  New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior.

Authors:  Seth A Ament; Charles A Blatti; Cedric Alaux; Marsha M Wheeler; Amy L Toth; Yves Le Conte; Greg J Hunt; Ernesto Guzmán-Novoa; Gloria Degrandi-Hoffman; Jose Luis Uribe-Rubio; Gro V Amdam; Robert E Page; Sandra L Rodriguez-Zas; Gene E Robinson; Saurabh Sinha
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-12       Impact factor: 11.205

2.  Insulin-like peptides (AmILP1 and AmILP2) differentially affect female caste development in the honey bee (Apis mellifera L.).

Authors:  Ying Wang; Sergio V Azevedo; Klaus Hartfelder; Gro V Amdam
Journal:  J Exp Biol       Date:  2013-08-30       Impact factor: 3.312

3.  Insulin-like peptide genes in honey bee fat body respond differently to manipulation of social behavioral physiology.

Authors:  Kari-Anne Nilsen; Kate E Ihle; Katy Frederick; M Kim Fondrk; Bente Smedal; Klaus Hartfelder; Gro V Amdam
Journal:  J Exp Biol       Date:  2011-05-01       Impact factor: 3.312

Review 4.  Evolutionary diversity as a catalyst for biological discovery.

Authors:  Zachary V Johnson; Larry J Young
Journal:  Integr Zool       Date:  2018-11       Impact factor: 2.654

5.  Neuropeptide Y-like signalling and nutritionally mediated gene expression and behaviour in the honey bee.

Authors:  S A Ament; R A Velarde; M H Kolodkin; D Moyse; G E Robinson
Journal:  Insect Mol Biol       Date:  2011-02-23       Impact factor: 3.585

6.  Transcriptome sequencing analysis reveals the regulation of the hypopharyngeal glands in the honey bee, Apis mellifera carnica Pollmann.

Authors:  Zhenguo Liu; Ting Ji; Ling Yin; Jie Shen; Fang Shen; Guohong Chen
Journal:  PLoS One       Date:  2013-12-10       Impact factor: 3.240

7.  Mechanisms of stable lipid loss in a social insect.

Authors:  Seth A Ament; Queenie W Chan; Marsha M Wheeler; Scott E Nixon; S Peir Johnson; Sandra L Rodriguez-Zas; Leonard J Foster; Gene E Robinson
Journal:  J Exp Biol       Date:  2011-11-15       Impact factor: 3.312

8.  A computational framework for understanding decision making through integration of basic learning rules.

Authors:  Maxim Bazhenov; Ramon Huerta; Brian H Smith
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

Review 9.  Functional and evolutionary insights into the simple yet specific gut microbiota of the honey bee from metagenomic analysis.

Authors:  Philipp Engel; Nancy A Moran
Journal:  Gut Microbes       Date:  2012-10-12

10.  Food source affects the expression of vitellogenin and fecundity of a biological control agent, Neoseiulus cucumeris.

Authors:  Yunlong Zhao; Dunsong Li; Min Zhang; Wei Chen; Guren Zhang
Journal:  Exp Appl Acarol       Date:  2014-02-27       Impact factor: 2.132

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