10.5061/DRYAD.Q0694
Parat, Florence
Technical University Munich
Schwertfirm, Grit
Technical University Munich
Rudolph, Ulrike
Technical University Munich
Miedaner, Thomas
Technical University Munich
Korzun, Viktor
Technical University Munich
Bauer, Eva
Technical University Munich
Tellier, Aurélien
Technical University Munich
Schön, Chris-Carolin
Technical University Munich
Data from: Geography and end use drive the diversification of worldwide
winter rye populations
Dryad
dataset
2015
ABC model
Secale cereale L.
SSR marker
2015-11-25T06:20:39Z
2015-11-25T06:20:39Z
en
https://doi.org/10.1111/mec.13495
168160 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
To meet the current challenges in human food production, improved
understanding of the genetic diversity of crop species that maximizes the
selection efficacy in breeding programs is needed. The present study
offers new insights into the diversity, genetic structure and demographic
history of cultivated rye (Secale cereale L.). We genotyped 620
individuals from 14 global rye populations with a different end use (grain
or forage) at 32 genome-wide simple sequence repeat markers. We reveal the
relationships among these populations, their sizes and the timing of
domestication events using population genetics and model-based inference
with approximate Bayesian computation. Our main results demonstrate (i) a
high within-population variation and genetic diversity, (ii) an unexpected
absence of reduction in diversity with an increasing improvement level and
(iii) patterns suggestive of multiple domestication events. We suggest
that the main drivers of diversification of winter rye are the end use of
rye in two early regions of cultivation: rye forage in the Mediterranean
area and grain in northeast Europe. The lower diversity and stronger
differentiation of eastern European populations were most likely due to
more intensive cultivation and breeding of rye in this region, in contrast
to the Mediterranean region where it was considered a secondary crop or
even a weed. We discuss the relevance of our results for the management of
gene bank resources and the pitfalls of inference methods applied to crop
domestication due to violation of model assumptions and model complexity.
Raw micro-satellite data for 14 Rye populationsRaw micro-satellite data in
arp format with original population names. The populations are grouped
following the three classes described in the article at the end of the
data file. Missing information is coded with a "?" and null
alleles are coded with a "0".dryadRyeData2015.arpPCR Primers and
PCR ConditionsA comma separated file containing the primers of the PCR,
their source, and the PCR conditions. The legend for the sources and the
abbreviations for the PCR conditions can be found in the ReadMe
file.PCRPrimersConditions.csv