Ecology and Evolutionary Biology Symposium, Ankara, Türkiye, 31 Ağustos - 01 Eylül 2016
ORAL PRESENTATION
Adaptive traits of Turkish honeybee subspecies in response
to climate: A survey and a test of niche overlap
Mert Kükrer1,
Ayşe Turak2, Can Bilgin1
1Department of Biology, Middle
East Technical University, Ankara, Turkey. 2Nature Conservation
Center, Ankara, Turkey.
Presenter: Mert Kükrer (M)
Keywords:
Apis mellifera
subspecies, adaptive traits, ecological niche modeling, climate, distributional
range
There are over 24 subspecies
or “geographic races” of honeybees
in the world. These races differ in morphology, biogeography and behavior and appear
to have diversified following reproductive isolation during the Pleistocene
glaciation. Research on their genetics suggest a model where Turkish races belong
mostly to the same lineage, but evolved in extremely different habitats. Habitat-specific
features such as daily temperature, abundance and phenology of nectar flow,
length and severity of winter, or predator pressure are expected to influence
foraging strategy, honey storage, production of young, overwintering success,
swarming behavior or aggression in different races.
We surveyed potentially
adaptive behavioral traits for each genetic component identified by microsatellite-based
STRUCTURE analysis, and explored relations with climatic conditions prevalent where
those components are geographically concentrated. To overcome restrictions of
limited sampling, we used ecological
niche modeling to estimate distributional ranges and identify possible climatic
drivers of adaptation for four subspecies and one ecotype.
Our survey revealed a number
of life history traits that were shown or hypothesized to be related to certain
climatic features, and that most honeybee forms have morphologies or behave as
predicted. Despite low sample size, niche modeling produced ranges for each subspecies/ecotype
that roughly correspond with particular ecoregions in Turkey. Precipitation in
warmest or coldest quarter, precipitation and temperature seasonality, mean
temperature of wettest quarter and annual mean temperature explained more than
other variables in the best models. We discuss adaptive values of the traits of
honeybees and suggest hypotheses to test these associations.