Literature DB >> 29577506

The role of epistatic interactions underpinning resistance to parasitic Varroa mites in haploid honey bee (Apis mellifera) drones.

Benjamin H Conlon1, Eva Frey2, Peter Rosenkranz2, Barbara Locke3, Robin F A Moritz1, Jarkko Routtu1.   

Abstract

The Red Queen hypothesis predicts that host-parasite coevolutionary dynamics can select for host resistance through increased genetic diversity, recombination and evolutionary rates. However, in haplodiploid organisms such as the honeybee (Apis mellifera), models suggest the selective pressure is weaker than in diploids. Haplodiploid sex determination, found in A. mellifera, can allow deleterious recessive alleles to persist in the population through the diploid sex with negative effects predominantly expressed in the haploid sex. To overcome these negative effects in haploid genomes, epistatic interactions have been hypothesized to play an important role. Here, we use the interaction between A. mellifera and the parasitic mite Varroa destructor to test epistasis in the expression of resistance, through the inhibition of parasite reproduction, in haploid drones. We find novel loci on three chromosomes which explain over 45% of the resistance phenotype. Two of these loci interact only additively, suggesting their expression is independent of each other, but both loci interact epistatically with the third locus. With drone offspring inheriting only one copy of the queen's chromosomes, the drones will only possess one of two queen alleles throughout the years-long lifetime of the honeybee colony. Varroa, in comparison, completes its highly inbred reproductive cycle in a matter of weeks, allowing it to rapidly evolve resistance. Faced with the rapidly evolving Varroa, a diversity of pathways and epistatic interactions for the inhibition of Varroa reproduction could therefore provide a selective advantage to the high levels of recombination seen in A. mellifera. This allows for the remixing of phenotypes despite a fixed queen genotype.
© 2018 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2018 European Society For Evolutionary Biology.

Entities:  

Keywords:  Gotland; Red Queen; coevolution; genomics; haplodiploid; haploid; host-parasite interaction

Mesh:

Substances:

Year:  2018        PMID: 29577506     DOI: 10.1111/jeb.13271

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  6 in total

1.  Honey bee predisposition of resistance to ubiquitous mite infestations.

Authors:  Bart J G Broeckx; Lina De Smet; Tjeerd Blacquière; Kevin Maebe; Mikalaï Khalenkow; Mario Van Poucke; Bjorn Dahle; Peter Neumann; Kim Bach Nguyen; Guy Smagghe; Dieter Deforce; Filip Van Nieuwerburgh; Luc Peelman; Dirk C de Graaf
Journal:  Sci Rep       Date:  2019-05-24       Impact factor: 4.379

Review 2.  Geographical Distribution and Selection of European Honey Bees Resistant to Varroa destructor.

Authors:  Yves Le Conte; Marina D Meixner; Annely Brandt; Norman L Carreck; Cecilia Costa; Fanny Mondet; Ralph Büchler
Journal:  Insects       Date:  2020-12-08       Impact factor: 2.769

Review 3.  Natural selection, selective breeding, and the evolution of resistance of honeybees (Apis mellifera) against Varroa.

Authors:  Jacques J M van Alphen; Bart Jan Fernhout
Journal:  Zoological Lett       Date:  2020-05-18       Impact factor: 2.836

Review 4.  Varroa destructor: how does it harm Apis mellifera honey bees and what can be done about it?

Authors:  Amélie Noël; Yves Le Conte; Fanny Mondet
Journal:  Emerg Top Life Sci       Date:  2020-07-02

5.  Behavioral Genetics of the Interactions between Apis mellifera and Varroa destructor.

Authors:  Alexis Beaurepaire; Christina Sann; Daniela Arredondo; Fanny Mondet; Yves Le Conte
Journal:  Insects       Date:  2019-09-16       Impact factor: 2.769

Review 6.  Advances and perspectives in selecting resistance traits against the parasitic mite Varroa destructor in honey bees.

Authors:  Matthieu Guichard; Vincent Dietemann; Markus Neuditschko; Benjamin Dainat
Journal:  Genet Sel Evol       Date:  2020-11-27       Impact factor: 4.297

  6 in total

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