FN Archimer Export Format
PT J
TI Sardines at a junction: seascape genomics reveals ecological and oceanographic drivers of variation in the NW Mediterranean Sea
BT 
AF Antoniou, Aglaia
   Manousaki, Tereza
   Ramírez, Francisco
   Cariani, Alessia
   Cannas, Rita
   Kasapidis, Panagiotis
   Magoulas, Antonios
   Albo‐Puigserver, Marta
   Lloret‐Lloret, Elena
   Bellido, Jose Maria
   Pennino, Maria Grazia
   Follesa, Maria Cristina
   Esteban, Antonio
   Saraux, Claire
   Sbrana, Mario
   Spedicato, Maria Teresa
   Coll, Marta
   Tsigenopoulos, Costas S.
AS 1:1;2:1;3:2;4:3;5:4;6:1;7:1;8:2,5;9:2;10:6;11:7;12:4;13:6;14:8;15:9;16:10;17:2;18:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:PDG-RBE-MARBEC-LHM;15:;16:;17:;18:;
C1 Institute of Marine Biology Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Gournes Pediados, Irakleio, P.O. Box 2214, 71003 Crete ,Greece
   Institute of Marine Science (ICM‐CSIC) Passeig Marítim de la Barceloneta, n° 37‐49, 08003 Barcelona, Spain
   Dept. Biological, Geological & Environmental Sciences (BiGeA) Alma Mater Studiorum – Università di Bologna Via Sant’Alberto 163, 48123 Ravenna, Italy ‐ Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Rome ,Italy
   Department of Life and Environmental Sciences University of Cagliari via T. Fiorelli 1‐09126 Cagliari, Italy‐ Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Rome ,Italy
   Centro Oceanográfico de Baleares, Instituto Español de Oceanografía (COB‐CNIEO/CSIC). Moll de Ponent s/n, 07015 Palma ,Spain
   Centro Oceanográfico de Murcia, Instituto Español de Oceanografía, (COMU‐CNIEO/CSIC), C/ Varadero 1, 30740 (Murcia) San Pedro del Pinatar ,Spain
   Centro Oceanográfico de Vigo, Instituto Español de Oceanografía (COVI‐CNIEO/CSIC). Subida a Radio Faro 50‐52, 36390 Vigo Pontevedra, Spain
   MARBEC, Univ Montpellier, CNRS, Ifremer, IRD Sète ,France
   Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata G. Bacci. Viale Nazario Sauro 4 ‐ 57128 Livorno ,Italy
   COISPA Tecnologia & Ricerca. Via dei trulli 18. 70126 Bari, Italy
C2 HELLENIC CTR MARINE RES, GREECE
   ICM CSIC, SPAIN
   CONISMA, ITALY
   UNIV CAGLIARI, ITALY
   IEO CSIC, SPAIN
   IEO CSIC, SPAIN
   IEO CSIC, SPAIN
   IFREMER, FRANCE
   CIBM, ITALY
   COISPA TECNOLOGIA & RICERCA, ITALY
SI SETE
SE PDG-RBE-MARBEC-LHM
UM MARBEC
IN WOS Ifremer UMR
   copubli-europe
IF 4.9
TC 6
UR https://archimer.ifremer.fr/doc/00813/92531/98790.pdf
   https://archimer.ifremer.fr/doc/00813/92531/98791.zip
LA English
DT Article
CR MEDITS
DE ;climate change;ddRAD;outliers;population genomics;SNPs
AB By evaluating genetic variation across the entire genome, one can address existing questions in a novel way while raising new ones. The latter include how different local environments influence adaptive and neutral genomic variation within and among populations, providing insights into local adaptation of natural populations and their responses to global change. Here, under a seascape genomic approach, ddRAD data of 4609 SNPs from 398 sardines (Sardina pilchardus) collected in 11 Mediterranean and one Atlantic site were generated. These were used along with oceanographic and ecological information to detect signals of adaptive divergence with gene flow across environmental gradients. The studied sardines constitute two clusters (FST=0.07), a pattern attributed to outlier loci, highlighting putative local adaptation. The trend in the number of days with sea surface temperature above 19oC, critical threshold for successful sardine spawning, was crucial at all levels of population structuring with implications on species’ key biological processes. Outliers link candidate SNPs to the region's environmental heterogeneity. Our findings provide evidence for a dynamic equilibrium where population structure is maintained by physical and ecological factors under the opposing influences of migration and selection. This dynamic in nature system, warrants continuous monitoring under a seascape genomic approach that might benefit from a temporal and more detailed spatial dimension. Our results may contribute to complementary studies aimed at providing deeper insights into the mechanistic processes underlying population structuring. Those are key for understanding and predicting future changes and responses of this highly exploited species in the face of climate change. 
PY 2023
PD APR
SO Molecular Ecology
SN 0962-1083
PU Wiley
VL 32
IS 7
UT 000919065800001
BP 1608
EP 1628
DI 10.1111/mec.16840
ID 92531
ER

EF