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spaMM (version 4.5.0)

arabidopsis: Arabidopsis genetic and climatic data

Description

For 948 “accessions” from European Arabidopsis thaliana populations, this data set merges the genotypic information at four single nucleotide polymorphisms (SNP) putatively involved in adaptation to climate (Fournier-Level et al, 2011, Table 1), with 13 climatic variables from Hancock et al. (2011).

Usage

data("arabidopsis")

Arguments

Format

The data frame includes 948 observations on the following variables:

pos1046738, pos5510910, pos6235221, pos8132698

Genotypes at four SNP loci

LAT

latitude

LONG

longitude

seasonal, tempWarmest, tempColdest, preciWettest, preciDriest, preciCV, PAR_SPRING,
growingL, conseqCold, conseqFrFree, RelHumidSp, dayLSp, aridity

Thirteen climatic variables. See Hancock et al. (2011) for details about these variables.

Details

The response is binary so method="PQL/L" seems warranted (see Rousset and Ferdy, 2014).

References

Fournier-Level A, Korte A., Cooper M. D., Nordborg M., Schmitt J., Wilczek AM (2011). A map of local adaptation in Arabidopsis thaliana. Science 334: 86-89.

Hancock, A. M., Brachi, B., Faure, N., Horton, M. W., Jarymowycz, L. B., Sperone, F. G., Toomajian, C., Roux, F., and Bergelson, J. 2011. Adaptation to climate across the Arabidopsis thaliana genome, Science 334: 83-86.

Rousset F., Ferdy, J.-B. (2014) Testing environmental and genetic effects in the presence of spatial autocorrelation. Ecography, 37: 781-790. tools:::Rd_expr_doi("10.1111/ecog.00566")

Examples

Run this code
data("arabidopsis")
if (spaMM.getOption("example_maxtime")>2.5) {
  fitme(cbind(pos1046738,1-pos1046738)~seasonal+Matern(1|LAT+LONG),
        fixed=list(rho=0.119278,nu=0.236990,lambda=8.599),
        family=binomial(),method="PQL/L",data=arabidopsis)
}
## The above 'fixed' values are deduced from the following fit:
if (spaMM.getOption("example_maxtime")>46) {
  SNPfit <- fitme(cbind(pos1046738,1-pos1046738)~seasonal+Matern(1|LAT+LONG),
              verbose=c(TRACE=TRUE), 
              family=binomial(),method="PQL/L",data=arabidopsis)
  summary(SNPfit) # p_v=-125.0392
}

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