Literature DB >> 20161742

Individual variation in pheromone response correlates with reproductive traits and brain gene expression in worker honey bees.

Sarah D Kocher1, Julien F Ayroles, Eric A Stone, Christina M Grozinger.   

Abstract

BACKGROUND: Variation in individual behavior within social groups can affect the fitness of the group as well as the individual, and can be caused by a combination of genetic and environmental factors. However, the molecular factors associated with individual variation in social behavior remain relatively unexplored. We used honey bees (Apis mellifera) as a model to examine differences in socially-regulated behavior among individual workers, and used transcriptional profiling to determine if specific gene expression patterns are associated with these individual differences. In honey bees, the reproductive queen produces a pheromonal signal that regulates many aspects of worker behavior and physiology and maintains colony organization. METHODOLOGY/PRINCIPAL
FINDINGS: Here, we demonstrate that there is substantial natural variation in individual worker attraction to queen pheromone (QMP). Furthermore, worker attraction is negatively correlated with ovariole number-a trait associated with reproductive potential in workers. We identified transcriptional differences in the adult brain associated with individual worker attraction to QMP, and identified hundreds of transcripts that are organized into statistically-correlated gene networks and associated with this response.
CONCLUSIONS/SIGNIFICANCE: Our studies demonstrate that there is substantial variation in worker attraction to QMP among individuals, and that this variation is linked with specific differences in physiology and brain gene expression patterns. This variation in individual response thresholds may reveal underlying variation in queen-worker reproductive conflict, and may mediate colony function and productivity by creating variation in individual task performance.

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Year:  2010        PMID: 20161742      PMCID: PMC2817734          DOI: 10.1371/journal.pone.0009116

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  51 in total

1.  Assessing gene significance from cDNA microarray expression data via mixed models.

Authors:  R D Wolfinger; G Gibson; E D Wolfinger; L Bennett; H Hamadeh; P Bushel; C Afshari; R S Paules
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

2.  Variation in gene expression within and among natural populations.

Authors:  Marjorie F Oleksiak; Gary A Churchill; Douglas L Crawford
Journal:  Nat Genet       Date:  2002-09-03       Impact factor: 38.330

3.  Endocrine modulation of a pheromone-responsive gene in the honey bee brain.

Authors:  Christina M Grozinger; Gene E Robinson
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-12-28       Impact factor: 1.836

4.  Honeybee social regulatory networks are shaped by colony-level selection.

Authors:  Timothy A Linksvayer; Michael K Fondrk; Robert E Page
Journal:  Am Nat       Date:  2009-03       Impact factor: 3.926

5.  Extraordinary diversity in vasopressin (V1a) receptor distributions among wild prairie voles (Microtus ochrogaster): patterns of variation and covariation.

Authors:  Steven M Phelps; Larry J Young
Journal:  J Comp Neurol       Date:  2003-11-24       Impact factor: 3.215

Review 6.  Social behavior and comparative genomics: new genes or new gene regulation?

Authors:  G E Robinson; Y Ben-Shahar
Journal:  Genes Brain Behav       Date:  2002-11       Impact factor: 3.449

7.  Lower disease infections in honeybee (Apis mellifera) colonies headed by polyandrous vs monandrous queens.

Authors:  David R Tarpy; Thomas D Seeley
Journal:  Naturwissenschaften       Date:  2006-03-03

8.  Genetic diversity in honey bee colonies enhances productivity and fitness.

Authors:  Heather R Mattila; Thomas D Seeley
Journal:  Science       Date:  2007-07-20       Impact factor: 47.728

9.  Sexual and social stimuli elicit rapid and contrasting genomic responses.

Authors:  Molly E Cummings; Jonah Larkins-Ford; Christian R L Reilly; Ryan Y Wong; Mary Ramsey; Hans A Hofmann
Journal:  Proc Biol Sci       Date:  2008-02-22       Impact factor: 5.349

10.  Effects of insemination quantity on honey bee queen physiology.

Authors:  Freddie-Jeanne Richard; David R Tarpy; Christina M Grozinger
Journal:  PLoS One       Date:  2007-10-03       Impact factor: 3.240

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  19 in total

1.  Regulation of behaviorally associated gene networks in worker honey bee ovaries.

Authors:  Ying Wang; Sarah D Kocher; Timothy A Linksvayer; Christina M Grozinger; Robert E Page; Gro V Amdam
Journal:  J Exp Biol       Date:  2012-01-01       Impact factor: 3.312

2.  Do Bumble Bee, Bombus impatiens, Queens Signal their Reproductive and Mating Status to their Workers?

Authors:  Etya Amsalem; Mario Padilla; Paul M Schreiber; Naomi S Altman; Abraham Hefetz; Christina M Grozinger
Journal:  J Chem Ecol       Date:  2017-06-24       Impact factor: 2.626

3.  cGMP modulates responses to queen mandibular pheromone in worker honey bees.

Authors:  Brendon L Fussnecker; Alexander M McKenzie; Christina M Grozinger
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-05-31       Impact factor: 1.836

Review 4.  Cooperation, conflict, and the evolution of queen pheromones.

Authors:  Sarah D Kocher; Christina M Grozinger
Journal:  J Chem Ecol       Date:  2011-11-15       Impact factor: 2.626

5.  The dynamic association between ovariole loss and sterility in adult honeybee workers.

Authors:  Isobel Ronai; Michael H Allsopp; Ken Tan; Shihao Dong; Xiwen Liu; Vanina Vergoz; Benjamin P Oldroyd
Journal:  Proc Biol Sci       Date:  2017-03-29       Impact factor: 5.349

6.  The effects of mating and instrumental insemination on queen honey bee flight behaviour and gene expression.

Authors:  S D Kocher; D R Tarpy; C M Grozinger
Journal:  Insect Mol Biol       Date:  2009-12-11       Impact factor: 3.585

7.  Histological estimates of ovariole number in honey bee queens, Apis mellifera, reveal lack of correlation with other queen quality measures.

Authors:  Jeffrey T Jackson; David R Tarpy; Susan E Fahrbach
Journal:  J Insect Sci       Date:  2011       Impact factor: 1.857

8.  Non-Target Effects of Green Fluorescent Protein (GFP)-Derived Double-Stranded RNA (dsRNA-GFP) Used in Honey Bee RNA Interference (RNAi) Assays.

Authors:  Francis M F Nunes; Aline C Aleixo; Angel R Barchuk; Ana D Bomtorin; Christina M Grozinger; Zilá L P Simões
Journal:  Insects       Date:  2013-01-04       Impact factor: 2.769

9.  The transcriptomic basis of oviposition behaviour in the parasitoid wasp Nasonia vitripennis.

Authors:  Bart A Pannebakker; Urmi Trivedi; Mark L Blaxter; Mark A Blaxter; Rebekah Watt; David M Shuker
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

10.  Shared genes related to aggression, rather than chemical communication, are associated with reproductive dominance in paper wasps (Polistes metricus).

Authors:  Amy L Toth; John F Tooker; Srihari Radhakrishnan; Robert Minard; Michael T Henshaw; Christina M Grozinger
Journal:  BMC Genomics       Date:  2014-01-28       Impact factor: 3.969

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