Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Olav RueppellPrincipal Investigator:

 

  Dr. Olav Rueppell
  Associate Professor
  Department of Biology 
  University of North Carolina
  206 Eberhart Bldg.
  Greensboro, NC 27403
  phone (336) 256-2591
  fax (336) 334-5839
         CV                            email: olav_rueppell!at!uncg.edu 

 
RESEARCH

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TEACHING
 
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  LAB MEMBERS
 

 
OUTREACH & LINKS
 
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HOW TO FIND US:

Our office and lab space are located in the Eberhart Building

 on the main UNCG campus. Click for a broad or a detailed

map how to get there.

Our research apiary and bee facility are located

5min to the west (see map).

If you want to DONATE directly to UNCG’s honey bee research program,
please contact me or the UNCG Development Office for details.

Disclaimer: The material located at this site is not endorsed, sponsored, or provided by

or on behalf of the University of North Carolina, nor am I responsible for the content and operation of, or any damage done by the links provided!

LAST UPDATED Sept. 2011

Genetic Research:

Together with our collaborators Robert Page and Gro Amdam, we are interested in the genetic architecture of quantitative, complex traits that are important for social evolution. The traits that are under investigation include social behavior, such as foraging, and life history traits, such as lifespan and ovary size, an indicator of reproductive potential. Ovary size is of particular interest because the reproductive ground-plan hypothesis of social evolution suggests that ancestral reproductive control modules involved in gonotropic cycling have been co-opted by social evolution to control social behavior and caste in social insects.

 

Description: RGPH

 

Our primary approach is quantitative trait locus (QTL) mapping in experimental crosses, where trait-marker associations are studied across the entire genome. The recent methodological developments in conjunction with available honey bee genome sequences make this approach now powerful and time-efficient. We are interested in finding the number and effect size of QTL, identifying pleiotropy and epistasis, and locating the QTL to investigate candidate genes. We use microsatellites, SNPs, and RAD-tags as genetic markers. Due to the high recombination rate the number of markers required to saturate a map is high but the number of positional candidate genes obtained is lower than in most other organisms. Follow-up studies of these candidate genes could involve sequence and expression analysis, population association studies, and RNAi.

 

Description: aflpgel

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Description: QTL

 

 

 

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Another project looks at specific gene expression differences induced in honey bee larvae by attacking Varroa mite parasites. These mites feed on bee hemolymph, vector important diseases, and suppress the bee immune system. They are considered as the most important honey bee pest, and we try to identify naturally evolved, physiological resistance factors against these mites in honey bees.

 

 

 

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