10.5061/DRYAD.7455B
Kelly, John K.
University of Kansas
Koelling, Vanessa A.
University of Kansas
Monnahan, Patrick J.
University of Kansas
Data from: A Bayesian method for the joint estimation of outcrossing rate
and inbreeding depression
Dryad
dataset
2012
outcrossing rate
Bayesian
MLTR
Mimulus guttatus
2012-08-22T15:56:00Z
2012-08-22T15:56:00Z
en
https://doi.org/10.1038/hdy.2012.58
378694 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The population outcrossing rate (t) and adult inbreeding coefficient (F)
are key parameters in mating system evolution. The magnitude of inbreeding
depression as expressed in the field can be estimated given t and F via
the method of Ritland (1990). For a given total sample size, the optimal
design for the joint estimation of t and F requires sampling large numbers
of families (100-400) with fewer offspring (1-4) per family.
Unfortunately, the standard inference procedure (MLTR) yields
significantly biased estimates for t and F when family sizes are small and
maternal genotypes are unknown (a common occurrence when sampling natural
populations). Here, we present a Bayesian method implemented in the
program BORICE that effectively estimates t and F when family sizes are
small and maternal genotype information is lacking. BORICE should enable
wider use of the Ritland approach for field-based estimates of inbreeding
depression. As proof of concept, we estimate t and F in a natural
population of Mimulus guttatus. In addition, we describe how individual
maternal inbreeding histories inferred by BORICE may prove useful in
studies of inbreeding and its consequences.
1. Simulation Data for Table 1Please see the Read Me file associated with
this data deposit.2. MLTR Bias Simulations File 1Please see the Read Me
file included with this data deposit.3. MLTR Bias Simulations File 2Please
see the Read Me file included with this data deposit.4. BORICE
simulationsPlease see the Read Me file associated with this data
deposit.5. BORICE correlated matings simulationsPlease see the Read Me
file associated with this data deposit.6. BORICE null alleles
simulationsPlease see the Read Me file associated with this data
deposit.7. BORICE variable outcrossing rate simulationsPlease see the READ
ME file associated with this data deposit.8. t & F no mom
databasePlease see the READ ME file associated with this data deposit.9.
Table 2 F dataPlease see the READ ME file associated with this data
deposit.10. Table 2 t dataPlease see the READ ME file associated with this
data deposit.
Oregon
Tillamook County