10.5061/DRYAD.6347B
Berger, David
University of Zurich
Uppsala University
Postma, Erik
University of Zurich
Blanckenhorn, Wolf
University of Zurich
Walters, Richard John
University of Zurich
Blanckenhorn, Wolf U.
University of Zurich
Data from: Quantitative genetic divergence and standing genetic
(co)variance in thermal reaction norms along latitude
Dryad
dataset
2013
Resource Acquisition
genetic constraint
Diptera; Sepsis punctum
G-matrix
Diptera
Sepsis punctum
2013-04-15T16:42:39Z
2013-04-15T16:42:39Z
en
https://doi.org/10.1111/evo.12138
1110339 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Although the potential to adapt to warmer climate is constrained by
genetic trade-offs, our understanding of how selection and mutation shape
genetic (co)variances in thermal reaction norms is poor. Using 71
isofemale lines of the fly Sepsis punctum, originating from northern,
central and southern European climates, we tested for divergence in
juvenile development rate across latitude at five experimental
temperatures. To investigate effects of evolutionary history in different
climates on standing genetic variation in reaction norms, we further
compared genetic (co)variances between regions. Flies were reared on
either high or low food resources to explore the role of
energy-acquisition in determining genetic trade-offs between different
temperatures. Although the latter had only weak effects on the strength
and sign of genetic correlations, genetic architecture differed
significantly between climatic regions, implying that evolution of
reaction norms proceeds via different trajectories at high versus low
latitude in this system. Accordingly, regional genetic architecture was
correlated to region-specific differentiation. Moreover, hot development
temperatures were associated with low genetic variance and stronger
genetic correlations compared to cooler temperatures. We discuss the
evolutionary potential of thermal reaction norms in light of their
underlying genetic architectures, evolutionary histories and the
materialization of trade-offs in natural environments.
dryaddata#File 1 - population data on development rate # Populations
collected may-aug 2009 by David Berger # Data collected sept 2009 - feb
2010 by David Berger & Richard Walters. Region Population Lat:Long
Lines north Stockholm 59.34 : 18.07 8 north Nykoping 58.62 : 16.94 9
central Bayreuth 49.92 : 11.56 11 central Vienna 48.21 : 16.35 12 central
Zurich 47.35 : 8.53 13 south Arezzo 43.52 : 11.57 7 south Perugia 43.15 :
12.18 11 #Description of coloumns in data file: id = individual.
population = population of origin. region = region of origin. latitude =
latitude of origin. temperature = experimental temperature in which
development rate was measured. food level = flies were raised on either
excess (high) or limited (low) food. line = the name of the isofemale line
to which each measured fly belonged. replicate = the glas vial containing
a subset of flies from an isofemale line in a specific temperature (10-20
flies). development time = the time in days it took for a 24 hour larva to
reach the adult stage. development rate = 1/development time devrateST =
temperature-specific mean-standardized development rate.phenology#File 2 -
Phenology data on S. punctum, Zurich population. #Flies were censused
every week, except during mid-season, from beginning of Mars to end of
October. #10 traps set out on every occasion (given as calender date =
"Date", or julian date = "Julian"). #Fly counts per
trap averaged to give one estimate per date
("meanFlies").regionNICHE#File 3 - temperature dataset on
thermal niches of each region (Celsius degrees) # Data collected from May
- June 2010. # Data first variance and mean calibrated to the thermal
environment inside 4 cow-pats probed with thermometers for two weeks in
Zurich during June 2010. # Data then mean calibrated to 20-30 year
dataset, for the period May-September, from each of the regions (based on
population averages). Datasets available online at:
http://www.weatherbase.com
Europe