Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus)

Molecular Ecology

Volumn 23, Issue 3, 2014, Pages 618-636

  Vandamme, S G ^a,b   Maes, G E ^b,c   Raeymaekers, J A M ^b,d   Cottenie, K ^b,e   Imsland, A K ^f,g   Hellemans, B ^b   Lacroix, G ^h   Mac Aoidh, E ⁱ   Martinsohn, J T ⁱ   Martinez P ^j   Robbens, J ^a   Vilas, R ^j   Volckaert, F A M ^b  

^a INSTITUTE FOR AGRICULTURAL AND FISHERIES RESEARCH ILVO   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c JAMES COOK UNIVERSITY   (Australia)

^d UNIVERSITY OF BASEL   (Switzerland)

^e UNIVERSITY OF GUELPH   (Canada)

^f UNIVERSITY OF BERGEN   (Norway)

^g AKVAPLAN NIVA ICELAND OFFICE   (Iceland)

^h ROYAL BELGIAN INSTITUTE OF NATURAL SCIENCES   (Belgium)

ⁱ JOINT RESEARCH CENTRE   (Italy)

^j UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

more..

Author keywords

adaptive genetic variation; microsatellite; oceanography; population structure; Scophthalmus maximus; seascape genetics

Indexed keywords

MICROSATELLITE DNA;

ADAPTATION; ADAPTIVE GENETIC VARIATION; ANIMAL; ARTICLE; ATLANTIC OCEAN; ENVIRONMENT; FLATFISH; GENE FLOW; GENE FREQUENCY; GENETIC MARKER; GENETIC SELECTION; GENETIC VARIABILITY; GENETICS; GENOTYPE; MICROSATELLITE; NORTH SEA; OCEANOGRAPHY; POPULATION GENETICS; POPULATION STRUCTURE; SCOPHTHALMUS MAXIMUS; SEASCAPE GENETICS;

ADAPTIVE GENETIC VARIATION; MICROSATELLITE; OCEANOGRAPHY; POPULATION STRUCTURE; SCOPHTHALMUS MAXIMUS; SEASCAPE GENETICS;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; ATLANTIC OCEAN; ENVIRONMENT; FLATFISHES; GENE FLOW; GENE FREQUENCY; GENETIC MARKERS; GENETIC VARIATION; GENETICS, POPULATION; GENOTYPE; MICROSATELLITE REPEATS; NORTH SEA; SELECTION, GENETIC;

EID: 84893023913     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/mec.12628     Document Type: Article

References (124)

1. Allendorf FW, Phelps SR, (1981) Use of allelic frequencies to describe population structure. Canadian Journal of Fisheries and Aquatic Sciences, 38, 1507-1514.
2. Aneer G, Westin L, (1990) Migration of turbot (Psetta-Maxima L) in the Northern Baltic proper. Fisheries Research, 9, 307-315.
3. Antao T, Lopes A, Lopes R, Beja-Pereira A, Luikart G, (2008) LOSITAN: a workbench to detect molecular adaptation based on a Fst-outlier method. BMC Bioinformatics, 9, 1-5.
4. Beaumont MA, Balding DJ, (2004) Identifying adaptive genetic divergence among populations from genome scans. Molecular Ecology, 13, 969-980.
5. Beaumont MA, Nichols RA, (1996) Evaluating loci for use in the genetic analysis of population structure. Proceedings of the Royal Society of London, Series B: Biological Sciences, 263, 1619-1626.
6. Bierne N, (2010) The distinctive footprints of local hitchhicking in a varied environment and global hitchhicking in a subdivided population. Evolution, 64, 3254-3272.
7. Bierne N, Welch J, Loire E, Bonhomme F, David P, (2011) The coupling hypothesis: why genome scans may fail to map local adaptation genes. Molecular Ecology, 20, 2044-2072.
8. Boeuf G, Payan P, (2001) How should salinity influence fish growth? Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 130, 411-423.
9. Bonin A, Bellemain E, Bronken Eidesen P, et al,. (2004) How to track and assess genotyping errors in population genetics studies. Molecular Ecology, 13, 3261-3273.
10. Borcard D, Legendre P, (2002) All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecological Modelling, 153, 51-68.
11. Borcard D, Gillet F, Legendre P, (2011) Numerical ecology with R. Springer, New York.
12. Bouza C, Presa P, Castro J, Sanchez L, Martinez P, (2002) Allozyme and microsatellite diversity in natural and domestic populations of turbot (Scophthalmus maximus) in comparison with other Pleuronectiformes. Canadian Journal of Fisheries and Aquatic Sciences, 59, 1460-1473.
13. Bouza C, Hermida M, Millan A, et al,. (2008) Characterization of EST-derived microsatellites for gene mapping and evolutionary genomics in turbot. Animal Genetics, 39, 666-670.
14. Bradbury IR, Hubert S, Higgins B, et al,. (2010) Parallel adaptive evolution of Atlantic cod on both sides of the Atlantic Ocean in response to temperature. Proceedings of the Royal Society of London, Series B: Biological Sciences, 277, 3725-3734.
15. Bradbury IR, Hubert S, Higgins B, et al,. (2013) Genomic islands of divergence and their consequences for the resolution of spatial structure in an exploited marine fish. Evolutionary Applications, 6, 450-461.
16. Coscia I, Vogiatzi E, Kotoulas G, Tsigenopoulos CS, Mariani S, (2012) Exploring neutral and adaptive processes in expanding populations of gilthead sea bream (Sparus aurata L.), in the North-East Atlantic. Heredity, 108, 537-546.
17. Coughlan J, McCarthy E, McGregor D, et al,. (1996) Four polymorphic microsatellites in turbot (Scophthalmus maximus). Animal Genetics, 27, 441-444.
18. Cuveliers E, Larmuseau M, Hellemans B, et al,. (2012) Multi-marker estimate of genetic connectivity of sole (Solea solea) in the North-East Atlantic Ocean. Marine Biology, 159, 1239-1253.
19. DeFaveri J, Jonsson PR, Merilä J, (2013) Heterogeneous genomic differentiation in marien threespine sticklebacks: adaptation along an environmental gradient. Evolution, 67, 2530-2546.
20. DeWoody JA, Avise JC, (2000) Microsatellite variation in marine, freshwater and anadromous fishes compared with other animals. Journal of Fish Biology, 56, 461-473.
21. Dormann CF, McPherson JM, Araújo MB, et al,. (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography, 30, 609-628.
22. Dray S, Legendre P, Blanchet FG, (2007) Packfor: Forward Selection with Permutation. R package version 0.0-9. Available at: http://r-forge.r-project. org/R/group-id=195.
23. Dray S, Pélissier R, Couteron P, et al,. (2012) Community ecology in the age of multivariate multiscale spatial analysis. Ecological Monographs, 82, 257-275.
24. Dunn MR, Pawson MG, (2002) The stock structure and migrations of plaice populations on the west coast of England and Wales. Journal of Fish Biology, 61, 360-393.
25. Earl DA, vonHoldt BM, (2012) structure harvester: a website and program for visualizing structure output and implementing the Evanno method. Conservation Genetics Resources, 4, 359-361.
26. El Mousadik A, Petit RJ, (1996) High level of genetic differentiation for allelic richness among populations of the argan tree (Argania spinosa (L.) Skeels) endemic to Morocco. Theoretical and Applied Genetics, 92, 832-839.
27. Estoup A, Gharbi K, SanCristobal M, et al,. (1998) Parentage assignment using microsatellites in turbot (Scophthalmus maximus) and rainbow trout (Oncorhynchus mykiss) hatchery populations. Canadian Journal of Fisheries and Aquatic Sciences, 55, 715-725.
28. Evanno G, Regnaut S, Goudet J, (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 14, 2611-2620.
29. Evans TG, Hofmann GE, (2012) Defining the limits of physiological plasticity: how gene expression can assess and predict the consequences of ocean change. Philosophical Transactions of the Royal Society of London Series B: Biological Sciences, 367, 1733-1745.
30. Florin AB, Franzen F, (2010) Spawning site fidelity in Baltic Sea turbot (Psetta maxima). Fisheries Research, 102, 207-213.
31. Florin AB, Höglund J, (2007) Absence of population structure of turbot (Psetta maxima) in the Baltic Sea. Molecular Ecology, 16, 115-126.
32. Foll M, Gaggiotti O, (2008) A genome-scan method to identify selected Loci appropriate for both dominant and codominant markers: a Bayesian perspective. Genetics, 180, 977-993.
33. Fonselius S, Valderrama J, (2003) One hundred years of hydrographic measurements in the Baltic Sea. Journal of Sea Research, 49, 229-241.
34. Funk WC, McKay JK, Hohenlohe PA, Allendorf FW, (2012) Harnessing genomics for delineating conservation units. Trends in Ecology & Evolution, 27, 489-496.
35. Gaggiotti OE, Bekkevold D, Jørgensen HBH, et al,. (2009) Disentangling the effects of evolutionary, demographic and environmental factors influencing genetic structure of natural populations: Altanltic herring as case study. Evolution, 63, 2939-2951.
36. Galarza JA, Carreras-Carbonell J, Macpherson E, et al,. (2009) The influence of oceanographic fronts and early-life-history traits on connectivity among littoral fish species. Proceedings of the National Academy of Sciences, 106, 1473-1478.
37. Galindo HM, Pfeiffer-Herbert AS, McManus MA, et al,. (2010) Seascape genetics along a steep cline: using genetic patterns to test predictions of marine larval dispersal. Molecular Ecology, 19, 3692-3707.
38. Gaumet F, Boeuf G, Severe A, Leroux A, Mayergonstan N, (1995) Effects of salinity on the ionic balance and growth of juvenile turbot. Journal of Fish Biology, 47, 865-876.
39. Gavilanez MM, Stevens RD, (2012) Role of environmental, historical and spatial processes in the structure of Neotropical primate communities: contrasting taxonomic and phylogenetic perspectives. Global Ecology and Biogeography, 22, 607-619.
40. Gilbert B, Bennett JR, (2010) Partitioning variation in ecological communities: do the numbers add up? Journal of Applied Ecology, 47, 1071-1082.
41. Gillanders BM, Able KW, Brown JA, Eggleston DB, Sheridan PF, (2003) Evidence of connectivity between juvenile and adult habitats for mobile marine fauna: an important component of nurseries. Marine Ecology Progress Series, 247, 281-295.
42. Goudet J, (1995) FSTAT (Version 1.2): a computer program to calculate F-statistics. Journal of Heredity, 86, 485-486.
43. Groth C, Lardelli M, (2002) The structure and function of vertebrate fibroblast growth factor receptor 1. International Journal of Developmental Biology, 46, 393-400.
44. Guo SW, Thompson EA, (1992) Performing the exact test of hardy-weinberg proportion for multiple alleles. Biometrics, 48, 361-372.
45. van der Hammen T, Poos JJ, van Overzee HMJ, et al,. (2013) Population ecology of turbot and brill: what can we learn from two rare flatfish species? Journal of Sea Research, 84, 96-108.
46. Hansen MM, Olivieri ISAB, Waller DM, Nielsen ERE, Group TGW (2012) Monitoring adaptive genetic responses to environmental change. Molecular Ecology, 21, 1311-1329.
47. Hauser L, Carvalho GR, (2008) Paradigm shifts in marine fisheries genetics: ugly hypotheses slain by beautiful facts. Fish and Fisheries, 9, 333-362.
48. Hemmer-Hansen J, Nielsen EE, Gronkjaer P, Loeschcke V, (2007) Evolutionary mechanisms shaping the genetic population structure of marine fishes; lessons from the European flounder (Platichthys flesus L.). Molecular Ecology, 16, 3104-3118.
49. Hubisz MJ, Falush D, Stephens M, Pritchard JK, (2009) Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources, 9, 1322-1332.
50. Huret M, Sourisseau M, Petitgas P, et al,. (2013) A multi-decadal hindcast of a physical-biogeochemical model and derived oceanographic indices in the Bay of Biscay. Journal of Marine Systems, 109-110 (Suppl), S77-S94.
51. Hutchinson WF, Carvalho GR, Rogers SI, (2001) Marked genetic structuring in localised spawning populations of cod Gadus morhua in the North Sea and adjoining waters, as revealed by microsatellites. Marine Ecology Progress Series, 223, 251-260.
52. ICES (2012a) Report of the Inter-Benchmark Protocol on new species (turbot and sea bass; IBPNew 2012). ICES, p. 239.
53. ICES (2012b) Report of the Working Group on Assessment of New MoU species (WGNEW). ICES CM/ACOM:20, p. 258.
54. Imsland AK, Sunde LM, Folkvord A, Stefansson SO, (1996) The interaction of temperature and fish size on growth of juvenile turbot. Journal of Fish Biology, 49, 926-940.
55. Imsland AK, Foss A, Naevdal G, Stefansson SO, (2001a) Selection or adaptation: differences in growth performance of juvenile turbot (Scophthalmus maximus Rafinesque) from two close-by localities off Norway. Sarsia, 86, 43-51.
56. Imsland AK, Foss A, Stefansson SO, (2001b) Variation in food intake, food conversion efficiency and growth of juvenile turbot from different geographic strains. Journal of Fish Biology, 59, 449-454.
57. Imsland AK, Scanu G, Naevdal G, (2003) New variants of the haemoglobins of turbot (Scophthalmus maximus): possible use in population genetics studies and aquaculture. Sarsia, 88, 55-64.
58. Iyengar A, Piyapattanakorn S, Heipel DA, et al,. (2000) A suite of highly polymorphic microsatellite markers in turbot (Scophthalmus maximus L.) with potential for use across several flatfish species. Molecular Ecology, 9, 368-371.
59. Johannesson K, André C, (2006) Life on the margin: genetic isolation and diversity loss in a peripheral marine ecosystem, the Baltic Sea. Molecular Ecology, 15, 2013-2029.
60. Johnston IA, Bower NI, Macqueen DJ, (2011) Growth and the regulation of myotomal muscle mass in teleost fish. Journal of Experimental Biology, 214, 1617-1628.
61. Jombart T, Pontier D, Dufour AB, (2009) Genetic markers in the playground of multivariate analysis. Heredity, 102, 330-341.
62. Jombart T, Devillard S, Balloux F, (2010) Discriminant analysis of principal components: a new method for the analysis of genetically structured populations. BMC Genetics, 11, 1-15.
63. Jones A, (1972) Studies on egg development and larval rearing of turbot (Scophthalmus maximus L.) and brill (Scophthalmus rhombus L.) in laboratory. Journal of the Marine Biological Association of the United Kingdom, 52, 965-986.
64. Jorde PE, Ryman N, (1995) Temporal allele frequency change and estimation of effective size in populations with overlapping generations. Genetics, 139, 1077-1090.
65. Kales S, Parks-Dely J, Schulte P, Dixon B, (2006) Beta-2-microglobulin gene expression is maintained in rainbow trout and Atlantic salmon kept at low temperatures. Fish & Shellfish Immunology, 21, 241-247.
66. Karas P, Klingsheim V, (1997) Effects of temperature and salinity on embryonic development of turbot (Scophthalmus maximus L.) from the North Sea, and comparisons with Baltic populations. Helgolander Meeresuntersuchungen, 51, 241-247.
67. Kerby TK, Cheung WWL, van Oosterhout C, Engelhard GH, (2013) Entering uncharted waters: long-term dynamics of two data limited fish species, turbot and brill, in the North Sea. Journal of Sea Research, 84, 87-95.
68. Kettle AJ, Morales-Muniz A, Rosello-Izquierdo E, Heinrich D, Vollestad LA, (2011) Refugia of marine fish in the northeast Atlantic during the last glacial maximum: concordant assessment from archaeozoology and palaeotemperature reconstructions. Climate of the Past, 7, 181-201.
69. Knutsen H, Olsen EM, Jorde PE, et al,. (2011) Are low but statistically significant levels of genetic differentiation in marine fishes 'biologically meaningful'? A case study of coastal Atlantic cod. Molecular Ecology, 20, 768-783.
70. Larmuseau MHD, Raeymaekers JAM, Ruddick KG, Van Houdt JKJ, Volckaert FAM, (2009) To see in different seas: spatial variation in the rhodopsin gene of the sand goby (Pomatoschistus minutus). Molecular Ecology, 18, 4227-4239.
71. Larmuseau MHD, Vancampenhout KIM, Raeymaekers JAM, Van Houdt JKJ, Volckaert FAM, (2010) Differential modes of selection on the rhodopsin gene in coastal Baltic and North Sea populations of the sand goby (Pomatoschistus minutus). Molecular Ecology, 19, 2256-2268.
72. Larsen PF, Nielsen EE, Williams TD, et al,. (2007) Adaptive differences in gene expression in European flounder (Platichthys flesus). Molecular Ecology, 16, 4674-4683.
73. Larsen PF, Nielsen EE, Meier K, et al,. (2012) Differences in salinity tolerance and gene expression between two populations of Atlantic Cod (Gadus morhua) in response to salinity stress. Biochemical Genetics, 50, 454-466.
74. Lasky JR, Des Marais DL, McKay JK, et al,. (2012) Characterizing genomic variation of Arabidopsis thaliana: the roles of geography and climate. Molecular Ecology, 21, 5512-5529.
75. Limborg MT, Helyar SJ, de Bruyn M, et al,. (2012) Environmental selection on transcriptome-derived SNPs in a high gene flow marine fish, the Atlantic herring (Clupea harengus). Molecular Ecology, 21, 3686-3703.
76. Liu D-W, Tsai S-M, Lin B-F, Jiang Y-J, Wang W-P, (2013) Fibroblast growth factor receptor 2c signaling is required for intestinal cell differentiation in Zebrafish. PLoS ONE, 8, e58310.
77. Mac Aoidh E, Martinsohn JT, Maes GE, Cariani A, Nielsen EE, (2013) Exploring geovisualization symbology for landscape genetics. Transactions in GIS, 17, 267-281.
78. Mäkinen HS, Cano JM, Merilä J, (2008) Identifying footprints of directional and balancing selection in marine and freshwater three-spined stickleback (Gasterosteus aculeatus) populations. Molecular Ecology, 17, 3565-3582.
79. Manel S, Joost S, Epperson BK, et al,. (2010) Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field. Molecular Ecology, 19, 3760-3772.
80. Matschiner M, Salzburger W, (2009) TANDEM: integrating automated allele binning into genetics and genomics workflows. Bioinformatics, 25, 1982-1983.
81. McCairns RJS, Bernatchez L, (2008) Landscape genetic analyses reveal cryptic population structure and putative selection gradients in a large-scale estuarine environment. Molecular Ecology, 17, 3901-3916.
82. Millán A, Gómez-Tato A, Fernández C, et al,. (2010) Design and performance of a turbot (Scophthalmus maximus) oligo-microarray based on ESTs from immune tissues. Marine Biotechnology, 12, 13.
83. Miller KM, Li S, Kaukinen KH, et al,. (2011) Genomic signatures predict migration and spawning failure in wild Canadian salmon. Science, 331, 214-217.
84. Nielsen EE, Nielsen PH, Meldrup D, Hansen MM, (2004) Genetic population structure of turbot (Scophthalmus maximus L.) supports the presence of multiple hybrid zones for marine fishes in the transition zone between the Baltic Sea and the North Sea. Molecular Ecology, 13, 585-595.
85. Nielsen E, Hemmer-Hansen J, Poulsen N, et al,. (2009a) Genomic signatures of local directional selection in a high gene flow marine organism; the Atlantic cod (Gadus morhua). BMC Evolutionary Biology, 9, 1-11.
86. Nielsen EE, Hemmer-Hansen J, Larsen P, Bekkevold D, (2009b) Population genomics of marine fishes: identifying adaptive variation in space and time. Molecular Ecology, 18, 3128-3150.
87. Nissling A, Johansson U, Jacobsson M, (2006) Effects of salinity and temperature conditions on the reproductive success of turbot (Scophthalmus maximus) in the Baltic Sea. Fisheries Research, 80, 230-238.
88. Nissling A, Florin A-B, Thorsen A, Bergström U, (2013) Egg production of turbot, Scophthalmus maximus, in the Baltic Sea. Journal of Sea Research, 84, 77-86.
89. Oksanen J, (2011) Multivariate Analysis of Ecological Communities in R: vegan tutorial. Available from http://cc.oulu.fi/~jarioksa/opetus/metodi/ vegantutor.pdf.
90. van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P, (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes, 4, 535-538.
91. Otto L, Zimmerman JTF, Furnes GK, et al,. (1990) Review of the physical oceanography of the North Sea. Netherlands Journal of Sea Research, 26, 161-238.
92. Palumbi SR, (1994) Genetic-divergence, reproductive isolation, and marine speciation. Annual Review of Ecology and Systematics, 25, 547-572.
93. Pardoe H, Marteinsdóttir G, (2009) Contrasting trends in two condition indices: bathymetric and spatial variation in autumn condition of Icelandic cod (Gadus morhua). Journal of Fish Biology, 75, 282-289.
94. Park K-I, Choi K-S, (2001) Spatial distribution of the protozoan parasite Perkinsus sp. found in the Manila clams (Ruditapes philippinarum) in Korea. Aquaculture, 203, 9-22.
95. Pavlidis M, Koumoundouros G, Sterioti A, et al,. (2000) Evidence of temperature-dependent sex determination in the European sea bass (Dicentrarchus labrax). Journal of Experimental Zoology, 287, 225-232.
96. Pérez-Casanova JC, Rise ML, Dixon B, et al,. (2008) The immune and stress responses of Atlantic cod to long-term increases in water temperature. Fish & Shellfish Immunology, 24, 600-609.
97. Planes S, Lenfant P, (2002) Temporal change in the genetic structure between and within cohorts of a marine fish (Diplodus sargus) induced by a large variance in individual reproductive success. Molecular Ecology, 11, 1515-1524.
98. Poulsen NA, Hemmer-Hansen J, Loeschcke V, Carvalho GR, Nielsen EE, (2011) Microgeographical population structure and adaptation in Atlantic cod (Gadus morhua): spatio-temporal insights from gene-associated DNA markers. Marine Ecology Progress Series, 436, 231-243.
99. Pritchard JK, Stephens M, Donnelly P, (2000) Inference of population structure using multilocus genotype data. Genetics, 155, 945-959.
100. Pujolar JM, Maes GE, Volckaert FAM, (2006) Genetic patchiness among recruits in the European eel Anguilla anguilla. Marine Ecology Progress Series, 307, 209-217.
101. Raymond M, Rousset F, (1995) Genepop (version-1.2)-population-genetics software for exact tests and ecumenicism. Journal of Heredity, 86, 248-249.
102. Rice WR, (1989) Analyzing tables of statistical tests. Evolution, 43, 223-225.
103. Roel BA, De Oliveira JAA, Beggs S, (2009) A two-stage biomass model for Irish Sea herring allowing for additional variance in the recruitment index caused by mixing of stocks. Ices Journal of Marine Science, 66, 1808-1813.
104. Saillant E, Fostier A, Haffray P, et al,. (2002) Temperature effects and genotype-temperature interactions on sex determination in the European sea bass (Dicentrarchus labrax). Journal of Experimental Zoology, 292, 494-505.
105. Sánchez-Molano E, Cerna A, Toro MA, et al,. (2011) Detection of growth-related QTL in turbot (Scophthalmus maximus). BMC Genomics, 12, 473.
106. Schrum C, Siegismund F, John MS, (2003) Decadal variations in circulation and stratification pattern of the North Sea. Are the 90's unusual? ICES Journal of Marine Science, Symposia Series, 219, 121-131.
107. Schunter C, Carreras-Carbonell J, Macpherson E, et al,. (2011) Matching genetics with oceanography: directional gene flow in a Mediterranean fish species. Molecular Ecology, 20, 5167-5181.
108. Schwartz M, McKelvey K, (2009) Why sampling scheme matters: the effect of sampling scheme on landscape genetic results. Conservation Genetics, 10, 441-452.
109. Selkoe KA, Toonen RJ, (2011) Marine connectivity: a new look at pelagic larval duration and genetic metrics of dispersal. Marine Ecology Progress Series, 436, 291-305.
110. Sharma S, Legendre P, Boisclair D, Gauthier S, (2012) Effects of spatial scale and choice of statistical model (linear versus tree-based) on determining species-habitat relationships. Canadian Journal of Fisheries and Aquatic Sciences, 69, 2095-2111.
111. Star B, Nederbragt AJ, Jentoft S, et al,. (2011) The genome sequence of Atlantic cod reveals a unique immune system. Nature, 477, 207-210.
112. Stottrup JG, Sparrevohn CR, Modin J, Lehmann K, (2002) The use of releases of reared fish to enhance natural populations-a case study on turbot (Psetta maxima) (Linné, 1758). Fisheries Research, 59, 161-180.
113. Teacher AGF, AndrÉ C, Jonsson PR, Merilä J, (2013) Oceanographic connectivity and environmental correlates of genetic structuring in Atlantic herring in the Baltic Sea. Evolutionary Applications, 6, 549-567.
114. Teal LR, van Hal R, van Kooten T, Ruardij P, Rijnsdorp AD, (2012) Bio-energetics underpins the spatial response of North Sea plaice (Pleuronectes platessa) and sole (Solea solea) to climate change. Global Change Biology, 18, 3291-3305.
115. Vasemägi A, (2006) The adaptive hypothesis of clinal variation revisited: single-locus clines as a result of spatially restricted gene flow. Genetics, 173, 2411-2414.
116. Vilas R, Bouza C, Vera M, Millan A, Martinez P, (2010) Variation in anonymous and EST-microsatellites suggests adaptive population divergence in turbot. Marine Ecology Progress Series, 420, 231-239.
117. Walton MJ, (1997) Population structure of harbour porpoises Phocoena phocoena in the seas around the UK and adjacent waters. Proceedings of the Royal Society of London, Series B: Biological Sciences, 264, 89-94.
118. Waples RS, (1989) A generalized approach for estimating effective population size from temporal changes in allele frequency. Genetics, 121, 379-391.
119. Waples R, (1998) Separating the wheat from the chaff: patterns of genetic differentiation in high gene flow species. Journal of Heredity, 89, 438-450.
120. Was A, Gosling E, Hoarau G, (2010) Microsatellite analysis of plaice (Pleuronectes platessa) in the NE Atlantic: weak genetic structuring in a milieu of high gene flow. Marine Biology, 157, 447-462.
121. Weir BS, Cockerham CC, (1984) Estimating F-statistics for the analysis of population-structure. Evolution, 38, 1358-1370.
122. White C, Selkoe KA, Watson J, et al,. (2010) Ocean currents help explain population genetic structure. Proceedings of the Royal Society of London, Series B: Biological Sciences, 277, 1685-1694.
123. Wilczek AM, Roe JL, Knapp MC, et al,. (2009) Effects of genetic perturbation on seasonal life history plasticity. Science, 323, 930-934.
124. Yeaman S, Otto SP, (2011) Establishment and maintenance of adaptive genetic divergence under migration, selection and drift. Evolution, 65, 2123-2129.