FN Archimer Export Format
PT J
TI Detecting past changes of effective population size
BT 
AF NIKOLIC, Natacha
   CHEVALET, Claude
AS 1:1;2:2,3,4;
FF 1:PDG-RBE-DOI;2:;
C1 IFREMER La Reunion, Le Port, France.
   INRA, F-31326 Castanet Tolosan, France.
   Univ Toulouse, INP, ENSAT, Castanet Tolosan, France.
   Univ Toulouse, INP, ENVT, Toulouse, France.
C2 IFREMER, FRANCE
   INRA, FRANCE
   UNIV TOULOUSE, FRANCE
   UNIV TOULOUSE, FRANCE
SI LA REUNION
SE PDG-RBE-DOI
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
   copubli-univ-france
IF 3.896
TC 39
UR https://archimer.ifremer.fr/doc/00194/30565/28986.pdf
   https://archimer.ifremer.fr/doc/00194/30565/29469.pdf
LA English
DT Article
DE ;Atlantic salmon;effective population size;microsatellites;past demography
AB Understanding and predicting population abundance is a major challenge confronting scientists. Several genetic models have been developed using microsatellite markers to estimate the present and ancestral effective population sizes. However, to get an overview on the evolution of population requires that past fluctuation of population size be traceable. To address the question, we developed a new model estimating the past changes of effective population size from microsatellite by resolving coalescence theory and using approximate likelihoods in a Monte Carlo Markov Chain approach. The efficiency of the model and its sensitivity to gene flow and to assumptions on the mutational process were checked using simulated data and analysis. The model was found especially useful to provide evidence of transient changes of population size in the past. The times at which some past demographic events cannot be detected because they are too ancient and the risk that gene flow may suggest the false detection of a bottleneck are discussed considering the distribution of coalescence times. The method was applied on real data sets from several Atlantic salmon populations. The method called VarEff (Variation of Effective size) was implemented in the R package VarEff and is made available at https://qgsp.jouy.inra.fr and at http://cran.r-project.org/web/packages/VarEff.
PY 2014
PD JUL
SO Evolutionary Applications
SN 1752-4571
PU Wiley-blackwell
VL 7
IS 6
UT 000338039600005
BP 663
EP 681
DI 10.1111/eva.12170
ID 30565
ER

EF