Considering reefscape configuration and composition in biophysical models advance seascape genetics

Type Article
Date 2017-05
Language English
Author(s) Van Wynsberge Simon1, 2, Andrefouet Serge2, Gaertner-Mazouni Nabila1, Tiavouane Josina2, Grulois Daphne2, Lefevre Jerome3, 4, Pinsky Malin L.5, 6, Fauvelot Cecile2
Affiliation(s) 1 : Univ Polynesie Francaise, UMR EIO 241, Lab Excellence CORAIL, Faaa, French Polynesi, Fr Polynesia.
2 : Univ La Reunion, UMR ENTROPIE 9220, CNRS, Lab Excellence CORAIL,Ctr IRD Noumea,Inst Rech De, Noumea, New Caledonia.
3 : Ctr IRD Noumea, UMR LEGOS 065, Noumea, New Caledonia.
4 : Ctr IRD Noumea, UMR MIO 235, Noumea, New Caledonia.
5 : Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ USA.
6 : Rutgers State Univ, Inst Earth Ocean & Atmospher Sci, New Brunswick, NJ USA.
Source Plos One (1932-6203) (Public Library Science), 2017-05 , Vol. 12 , N. 5 , P. e0178239 (1-23)
DOI 10.1371/journal.pone.0178239
WOS© Times Cited 13

Previous seascape genetics studies have emphasized the role of ocean currents and geographic distances to explain the genetic structure of marine species, but the role of benthic habitat has been more rarely considered. Here, we compared the population genetic structure observed in West Pacific giant clam populations against model simulations that accounted habitat composition and configuration, geographical distance, and oceanic currents. Dispersal determined by geographical distance provided a modelled genetic structure in better agreement with the observations than dispersal by oceanic currents, possibly due to insufficient spatial resolution of available oceanographic and coastal circulation models. Considering both habitat composition and configuration significantly improved the match between simulated and observed genetic structures. This study emphasizes the importance of a reefscape genetics approach to population ecology, evolution and conservation in the sea.

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Publisher's official version 23 2 MB Open access
S1 Table. Summary of genetic diversity at 15 microsatellite loci from Tridacna maxima samples. 2 504 KB Open access
S2 Table. Observed pairwise genetic differentiation among T. maxima sampled locations. 1 481 KB Open access
S1 Fig. Relative probability of survival for Tridacna maxima larvae over the competency period. 1 462 KB Open access
S2 Fig. Performance of IBD models to reproduce the observed genetic structure as a function of parameter a (see Eq 1). 1 466 KB Open access
S3 Fig. IBD dispersal kernel that provided best congruence between the simulated and observed genetic structures for T. maxima in the New Caledonia and Vanuatu area. 1 373 KB Open access
S1 File. Background surface circulation and model configuration. 6 1 MB Open access
S2 File. Linear regression models between genetic distance, geographic distance, oceanographic distance, and habitat continuity. 1 577 KB Open access
S3 File. Fst values per locus obtained with and without using ENA. 2 310 KB Open access
S4 File. Indirect estimates of gene dispersal distance from empirical genetic data using Moran’s I relationship coefficients. 2 595 KB Open access
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Van Wynsberge Simon, Andrefouet Serge, Gaertner-Mazouni Nabila, Tiavouane Josina, Grulois Daphne, Lefevre Jerome, Pinsky Malin L., Fauvelot Cecile (2017). Considering reefscape configuration and composition in biophysical models advance seascape genetics. Plos One, 12(5), e0178239 (1-23). Publisher's official version : , Open Access version :