Dear Dr. Excoffier and fsc users,
My question is in regard to the rescaling factor. The model output I see from fsc often has a large rescaling factor, such that when I multiple it to the estimated divergence times then multiple by the generation time, the estimates are unreasonably large given what is known about species age. I understand that the rescaling factor is the observed polymorphism divided by mutation rate * tree length (ie- estimated polymorphism), thus it seems that my model is underestmating the polymorphism. The things that should effect that are mutation rate and Ne, and I'm estimating Ne in the model. When I run one population models, the rescaling factor is 1; therefore, this occurs as the model complexity increases.
Does anyone have thoughts on why this may occur or how to assess specific model parameters that influence the rescaling parameter?
My .tpl and .est files are below, and am running the following command:
fsc26 -t ./Uamer.tpl -e ./Uamer.est -n 100000 -M -m -l 30 -L 60 -x -c8
Also, if it's helpful, I mapped WGS reads to the reference genome, called variants, filtered for biallelic SNPs, masked genes, then used bcftools +prune to thin linked sites. I used PGDspider to convert the VCF to .arp, then used Arlequin to make pairwise SFS for the four populations.
With sincere thanks,
Emily
.tpl
//Parameters for the coalescence simulation program : fastsimcoal.exe
4
//Population effective sizes (number of genes=2*NumIndividuals):
Eak
Eeast
Ewest
Egye
//Samples sizes and samples age
8
8
6
6
//Growth rates : negative growth implies population expansion
0
0
0
0
//Number of migration matrices : 0 implies no migration between demes
3
//
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
//
0 0 MIG02 0
0 0 0 0
MIG20 0 0 0
0 0 0 0
//Uarct-Uamer migration
0 0 0 0
0 0 0 0
0 0 0 MIG23
0 0 MIG32 0
//historical event: time, source, sink, migrants, new deme size, new growth rate, migration matrixes
8 historical event
TAD 3 2 AD$ 1 0 0
Teast 1 1 0 Beast 0 0 instbot
Teast 1 0 1 1 0 1
Tak 0 0 Bak 0 0 instbot
Tak 0 2 1 S2west 0 0
15300 2 2 0 Samer 0 0
15300 3 3 0 S2gye 0 0
461500 2 3 1 Rurs 0 0
//Number of independent loci [chromosome]
1 0
//Per chromosome: Number of contiguous linkage Block: a block is a set of contiguous loci
1
//per Block:data type, number of loci, per generation recombination and mutation rates and optional parameters
FREQ 1 0 2.5e-8 OUTEXP
.est
// Priors and rules file
// *********************
[PARAMETERS]
//#isInt? #name #dist.#min #max
//all Ns are in number of haploid individuals
1 TAD unif 1000 12000 output
1 AA unif 1 10000 output
1 BB unif 1 10000 output
1 Ewest unif 500 10000 output
1 Eak unif 100 10000 output
1 Eeast unif 100 10000 output
1 Egye unif 100 1000 output
1 Nwest unif 500 10000 output
1 Nak unif 100 10000 output
1 Neast unif 100 10000 output
1 Ngye unif 100 1000 output
1 Nanc unif 1000 60000 output REFERENCE
0 Bwest logunif 0.0001 1 output
0 Bak logunif 0.0001 1 output
0 Beast logunif 0.0001 1 output
0 Bgye logunif 0.0001 1 output
0 AD$ unif 0.01 0.1 output
0 MIG02 unif 1e-6 1e-3 output
0 MIG20 unif 1e-6 1e-3 output
0 MIG23 unif 1e-6 1e-3 output
0 MIG32 unif 1e-6 1e-3 output
[RULES]
[COMPLEX PARAMETERS]
0 S2west = Nwest/Ewest output
0 S2gye = Ngye/Egye output
0 Samer = Nanc/Nwest output
1 Teast = TAD + AA output
1 Tak = Teast + BB output