FN Archimer Export Format
PT J
TI Spatial coalescent connectivity through multi-generation dispersal modelling predicts gene flow across marine phyla
BT 
AF Legrand, Térence
   Chenuil, Anne
   Ser-Giacomi, Enrico
   Arnaud-Haond, Sophie
   Bierne, Nicolas
   Rossi, Vincent
AS 1:1;2:2;3:3;4:4;5:5;6:1;
FF 1:;2:;3:;4:PDG-RBE-MARBEC-LEGPM;5:;6:;
C1 Aix Marseille University, Universite de Toulon, CNRS, IRD, Mediterranean Institute of Oceanography (UMR 7294), Marseille, France
   IMBE, CNRS UMR 7263, Aix Marseille Université, Avignon Université, IRD 237, Station marine d’Endoume, Chemin de la Batterie des Lions, 13007, Marseille, France
   Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 54-1514 MIT, Cambridge, MA, USA
   MARBEC (Marine Biodiversity, Exploitation and Conservation, UMR 9190) Univ. Montpellier, IFREMER, IRD, CNRS, Sète, France
   ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France
C2 UNIV AIX MARSEILLE, FRANCE
   UNIV AIX MARSEILLE, FRANCE
   MIT, USA
   IFREMER, FRANCE
   CNRS, FRANCE
SI SETE
SE PDG-RBE-MARBEC-LEGPM
UM MARBEC
IN WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-univ-france
   copubli-int-hors-europe
IF 16.6
TC 5
UR https://archimer.ifremer.fr/doc/00797/90892/96519.pdf
   https://archimer.ifremer.fr/doc/00797/90892/96520.pdf
   https://archimer.ifremer.fr/doc/00797/90892/96521.pdf
   https://archimer.ifremer.fr/doc/00797/90892/96522.pdf
   https://archimer.ifremer.fr/doc/00797/90892/96523.csv
   https://archimer.ifremer.fr/doc/00797/90892/96524.pdf
   https://archimer.ifremer.fr/doc/00797/90892/96525.xlsx
LA English
DT Article
AB Gene flow governs the contemporary spatial structure and dynamic of populations as well as their long-term evolution. For species that disperse using atmospheric or oceanic flows, biophysical models allow predicting the migratory component of gene flow, which facilitates the interpretation of broad-scale spatial structure inferred from observed allele frequencies among populations. However, frequent mismatches between dispersal estimates and observed genetic diversity prevent an operational synthesis for eco-evolutionary projections. Here we use an extensive compilation of 58 population genetic studies of 47 phylogenetically divergent marine sedentary species over the Mediterranean basin to assess how genetic differentiation is predicted by Isolation-By-Distance, single-generation dispersal and multi-generation dispersal models. Unlike previous approaches, the latter unveil explicit parents-to-offspring links (filial connectivity) and implicit links among siblings from a common ancestor (coalescent connectivity). We find that almost 70 % of observed variance in genetic differentiation is explained by coalescent connectivity over multiple generations, significantly outperforming other models. Our results offer great promises to untangle the eco-evolutionary forces that shape sedentary population structure and to anticipate climate-driven redistributions, altogether improving spatial conservation planning. 
PY 2022
PD OCT
SO Nature Communications
SN 2041-1723
PU Springer Science and Business Media LLC
VL 13
IS 1
UT 000863903100003
DI 10.1038/s41467-022-33499-z
ID 90892
ER

EF