M. Ali, G. Nicieza, and R. Wootton, Compensatory growth in fishes: a response to growth depression, Fish and Fisheries, vol.44, issue.2, pp.147-190, 2003.
DOI : 10.1023/A:1007425005491

A. Amores, J. Catchen, A. Ferrara, Q. Fontenot, and J. H. Postlethwait, Genome Evolution and Meiotic Maps by Massively Parallel DNA Sequencing: Spotted Gar, an Outgroup for the Teleost Genome Duplication, Genetics, vol.188, issue.4, pp.799-808, 2011.
DOI : 10.1534/genetics.111.127324

C. Audet and G. Claireaux, ), Canadian Journal of Fisheries and Aquatic Sciences, vol.49, issue.5, pp.870-877, 1992.
DOI : 10.1139/f92-097

N. Banos, J. Baro, C. Castejon, I. Navarro, and J. Gutierrez, Influence of high-carbohydrate enriched diets on plasma insulin levels and insulin and IGF-I receptors in trout, Regulatory Peptides, vol.77, issue.1-3, pp.55-62, 1998.
DOI : 10.1016/S0167-0115(98)00041-X

B. A. Barton, Stress in Fishes: A Diversity of Responses with Particular Reference to Changes in Circulating Corticosteroids, Integrative and Comparative Biology, vol.42, issue.3, pp.517-525, 2002.
DOI : 10.1093/icb/42.3.517

B. A. Barton and G. K. Iwama, Physiological changes in fish from stress in aquaculture with emphasis on the response and effects of corticosteroids, Annual Review of Fish Diseases, vol.1, p.26, 1991.
DOI : 10.1016/0959-8030(91)90019-G

B. A. Barton and C. B. Schreck, Influence of acclimation temperature on interrenal and carbohydrate stress responses in juvenile chinook salmon (Oncorhynchus tshawytscha), Aquaculture, vol.62, issue.3-4, pp.299-310, 1987.
DOI : 10.1016/0044-8486(87)90172-4

A. Bastien, Evaluation d'un programme de sélection et identification des traits physiologiques liés à l'anadromie chez l'omble de fontaine (Salvelinus fontinalis), 2010.

C. Beaumont, O. Roussot, K. Feve, F. Vignoles, and S. Leroux, A genome scan with AFLPTM markers to detect fearfulness-related QTLs in Japanese quail, Animal Genetics, vol.23, issue.5, pp.401-407, 2005.
DOI : 10.1111/j.1365-2052.2005.01336.x

J. Bennewitz and T. H. Meuwissen, The distribution of QTL additive and dominance effects in porcine F2 crosses, Journal of Animal Breeding and Genetics, vol.37, issue.3, pp.171-179, 2010.
DOI : 10.1111/j.1439-0388.2009.00847.x

L. Bernatchez, S. Renaut, A. R. Whiteley, N. Derome, and J. Jeukens, On the origin of species: insights from the ecological genomics of lake whitefish, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.5, issue.2, pp.1783-1800, 2010.
DOI : 10.1038/nrg1269

S. Blanchet, G. Loot, G. Grenouillet, and S. Brosse, Competitive interactions between native and exotic salmonids: a combined field and laboratory demonstration, Ecology of Freshwater Fish, vol.84, issue.2, pp.133-143, 2007.
DOI : 10.1890/02-0402

B. Bougas, S. Granier, C. Audet, and L. Bernatchez, The Transcriptional Landscape of Cross-Specific Hybrids and Its Possible Link With Growth in Brook Charr (Salvelinus fontinalis Mitchill), Genetics, vol.186, issue.1, pp.97-107, 2010.
DOI : 10.1534/genetics.110.118158

W. Brockman, P. Alvarez, S. Young, M. Garber, and G. Giannoukos, Quality scores and SNP detection in sequencing-by-synthesis systems, Genome Research, vol.18, issue.5, pp.763-770, 2008.
DOI : 10.1101/gr.070227.107
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2336812

K. W. Broman, H. Wu, S. Sen, and G. A. Churchill, R/qtl: QTL mapping in experimental crosses, qtl: QTL mapping in experimental crosses, pp.889-890, 2003.
DOI : 10.1093/bioinformatics/btg112

D. Bureau, K. Hua, and C. Cho, Effect of feeding level on growth and nutrient deposition in rainbow trout (Oncorhynchus mykiss Walbaum) growing from 150 to 600 g, Aquaculture Research, vol.249, issue.11, pp.1090-1098, 2006.
DOI : 10.1016/j.aquaculture.2005.03.011

R. S. Carr and J. M. Neff, Quantitative semi-automated enzymatic assay for tissue glycogen, Comparative Biochemistry and Physiology Part B: Comparative Biochemistry, vol.77, issue.3, pp.447-449, 1984.
DOI : 10.1016/0305-0491(84)90258-X

V. Castric and L. Bernatchez, The rise and fall of isolation by distance in the anadromous brook charr (Salvelinus fontinalis, Mitchill), Genetics, vol.163, pp.983-996, 2003.

G. Côtô, G. Perry, P. Blier, and L. Bernatchez, The influence of gene-environment interactions on GHR and IGF-1 expression and their association with growth in brook charr, Salvelinus fontinalis (Mitchill), BMC Genetics, vol.8, issue.1, p.87, 2007.
DOI : 10.1186/1471-2156-8-87

A. Crespel, L. Bernatchez, D. Garant, and C. Audet, Quantitative genetic analysis of the physiological stress response in three strains of brook charr, Salvelinus fontinalis (Mitchill), and their hybrids, J. Fish Biol, 2011.

R. Devlin and Y. Nagahama, Sex determination and sex differentiation in fish: an overview of genetic, physiological, and environmental influences, Aquaculture, vol.208, issue.3-4, pp.191-364, 2002.
DOI : 10.1016/S0044-8486(02)00057-1

S. Du, R. Devlin, and C. Hew, ): Presence of Two Functional Genes, GH-I and GH-II, and a Male-Specific Pseudogene, GH-??, DNA and Cell Biology, vol.12, issue.8, pp.739-751, 1993.
DOI : 10.1089/dna.1993.12.739

S. E. Fevolden, K. H. Roed, and K. T. Fjalestad, Selection response of cortisol and lysozyme in rainbow trout and correlation to growth, Aquaculture, vol.205, issue.1-2, pp.61-75, 2002.
DOI : 10.1016/S0044-8486(01)00660-3

M. Friendly, Corrgrams, The American Statistician, vol.56, issue.4, pp.316-324, 2002.
DOI : 10.1198/000313002533

S. J. Garlow, E. Boone, W. Li, M. J. Owens, and C. B. Nemeroff, Genetic Analysis of the Hypothalamic Corticotropin-Releasing Factor System, Endocrinology, vol.146, issue.5, pp.2362-2368, 2005.
DOI : 10.1210/en.2004-1450

C. Haley and D. J. Koning, Genetical genomics in livestock: potentials and pitfalls, Animal Genetics, vol.37, issue.s1, pp.10-12, 2006.
DOI : 10.1038/ng1222

C. S. Haley and S. A. Knott, A simple regression method for mapping quantitative trait loci in line crosses using flanking markers, Heredity, vol.69, issue.4, pp.315-324
DOI : 10.1038/hdy.1992.131

R. D. Houston, C. S. Haley, A. Hamilton, D. R. Guy, and A. E. Tinch, Major Quantitative Trait Loci Affect Resistance to Infectious Pancreatic Necrosis in Atlantic Salmon (Salmo salar), Genetics, vol.178, issue.2, pp.1109-1115, 2008.
DOI : 10.1534/genetics.107.082974

M. Iversen, B. Finstad, and K. Nilssen, Recovery from loading and transport stress in Atlantic salmon (Salmo salar L.) smolts, Aquaculture, vol.168, issue.1-4, pp.387-394, 1998.
DOI : 10.1016/S0044-8486(98)00364-0

T. R. Jackson, M. M. Ferguson, R. G. Danzmann, A. G. Fishback, and P. E. Ihssen, Identification of two QTL influencing upper temperature tolerance in three rainbow trout (Oncorhynchus mykiss) half-sib families, Heredity, vol.118, issue.2, pp.143-151, 1998.
DOI : 10.1038/335721a0

R. C. Jansen, J. W. Ooijen, P. Stam, C. Lister, and C. Dean, Genotype-by-environment interaction in genetic mapping of multiple quantitative trait loci, Theoretical and Applied Genetics, vol.91, issue.1, pp.33-37, 1995.
DOI : 10.1007/BF00220855

K. Jurss, I. Junghahn, and R. Bastrop, The role of elongation factors in protein synthesis rate variation in white teleost muscle, J. Comp. Physiol. B, vol.162, pp.345-350, 1992.

E. Kuttner, H. K. Moghadam, S. Skulason, R. G. Danzmann, and M. M. Ferguson, Genetic architecture of body weight, condition factor and age of sexual maturation in Icelandic Arctic charr (Salvelinus alpinus), Molecular Genetics and Genomics, vol.11, issue.3, pp.67-79, 2011.
DOI : 10.1007/s00438-011-0628-x

E. Lander and L. Kruglyak, Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results, Nature Genetics, vol.265, issue.3, pp.241-247, 1995.
DOI : 10.1038/ng0694supp-246

B. Llamas, V. Contesse, V. Guyonnet-duperat, H. Vaudry, and P. Mormede, QTL mapping for traits associated with stress neuroendocrine reactivity in rats, Mammalian Genome, vol.77, issue.7, pp.505-515, 2005.
DOI : 10.1007/s00335-005-0022-2

T. F. Mackay, The Genetic Architecture of Quantitative Traits, Annual Review of Genetics, vol.35, issue.1, pp.303-339, 2001.
DOI : 10.1146/annurev.genet.35.102401.090633

T. F. Mackay, E. A. Stone, and J. F. Ayroles, The genetics of quantitative traits: challenges and prospects, Nature Reviews Genetics, vol.97, issue.8, pp.565-577, 2009.
DOI : 10.1038/nrg2612

T. Makinen and K. Ruohonen, Effect of delayed photoperiod on the growth of a Finnish rainbow trout (Oncorlynchus mykiss Walbaum) stock, Journal of Applied Ichthyology, vol.458, issue.4, pp.40-50, 1992.
DOI : 10.1016/0044-8486(86)90196-1

S. Martin, J. Savaria, C. Audet, and L. Bernatchez, Microsatellites reveal no evidence for inbreeding effects but low-inter-stock genetic diversity among brook charr stocks used for production in Québec, Bull. Aquacult. Assoc. Can, vol.97, pp.21-23, 1997.

C. Martyniuk, G. Perry, H. Moghadam, M. Ferguson, and R. Danzmann, The genetic architecture of correlations among growth-related traits and male age at maturation in rainbow trout, Journal of Fish Biology, vol.153, issue.3, pp.746-764, 2003.
DOI : 10.1007/s001220050895

C. Massault, B. Hellemans, B. Louro, C. Batargias, and J. K. Van-houdt, QTL for body weight, morphometric traits and stress response in European sea bass Dicentrarchus labrax, Anim. Genet, vol.41, pp.337-345, 2010.

E. K. Mcclelland and K. Naish, Quantitative trait locus analysis of hatch timing, weight, length and growth rate in coho salmon, Oncorhynchus kisutch, Heredity, vol.59, issue.6, pp.562-573, 2010.
DOI : 10.1093/jhered/93.1.77

N. Metcalfe, Intraspecific variation in competitive ability and food intake in salmonids: consequences for energy budgets and growth rates, Journal of Fish Biology, vol.12, issue.5, pp.525-531, 1986.
DOI : 10.1007/BF00344921

G. A. Mitchell, M. F. Robert, P. W. Hruz, S. Wang, and G. Fontaine, 3-Hydroxy-3-methylglutaryl coenzyme A lyase (HL) Cloning of human and chicken liver HL cDNAs and characterization of a mutation causing human HL deficiency, J. Biol. Chem, vol.268, pp.4376-4381, 1993.

H. Moghadam, M. Ferguson, C. Rexroad, I. Coulibaly, and R. Danzmann, Genomic organization of the IGF1, IGF2, MYF5, MYF6 and GRF/PACAP genes across Salmoninae genera, Genomic organization of the IGF1, IGF2, MYF5, MYF6, and GRF/PACAP genes across Salmoninae genera, pp.527-532, 2007.
DOI : 10.1111/j.1365-2052.2007.01645.x

H. Moghadam, J. Poissant, H. Fotherby, L. Haidle, and M. Ferguson, Quantitative trait loci for body weight, condition factor and age at sexual maturation in Arctic charr (Salvelinus alpinus): comparative analysis with rainbow trout (Oncorhynchus mykiss) and Atlantic salmon (Salmo salar), Molecular Genetics and Genomics, vol.39, issue.6, pp.647-661, 2007.
DOI : 10.1007/s00438-007-0215-3

O. Malley, K. , T. Sakamoto, R. Danzmann, and M. Ferguson, Quantitative Trait Loci for Spawning Date and Body Weight in Rainbow Trout: Testing for Conserved Effects Across Ancestrally Duplicated Chromosomes, Journal of Heredity, vol.94, issue.4, pp.273-284, 2003.
DOI : 10.1093/jhered/esg067

O. Ousova, V. Guyonnet-duperat, N. Iannuccelli, J. P. Bidanel, and D. Milan, Corticosteroid Binding Globulin: A New Target for Cortisol-Driven Obesity, Molecular Endocrinology, vol.18, issue.7, pp.1687-1696, 2004.
DOI : 10.1210/me.2004-0005
URL : http://prodinra.inra.fr/ft/CD350853-ED73-4E07-90CC-2D204686B851

A. Ozaki, T. Sakamoto, S. Khoo, K. Nakamura, and M. Coimbra, Quantitative trait loci (QTL) associated with resistance/susceptibility to infectious pancreatic necrosis virus (IPNV) in rainbow trout (Oncorhynchus mykiss), Mol. Genet. Genomics, vol.265, pp.23-31, 2001.

G. M. Perry, M. M. Ferguson, T. Sakamoto, and R. G. Danzmann, Sex-linked Quantitative Trait Loci for Thermotolerance and Length in the Rainbow Trout, Journal of Heredity, vol.96, issue.2, pp.97-107, 2005.
DOI : 10.1093/jhered/esi019

M. W. Pfaffl, A new mathematical model for relative quantification in real-time RT-PCR, Nucleic Acids Research, vol.29, issue.9, p.45, 2001.
DOI : 10.1093/nar/29.9.e45

D. E. Portz, C. M. Woodley, and J. J. Cech, Stress-associated impacts of short-term holding on fishes, Reviews in Fish Biology and Fisheries, vol.125, issue.4, pp.125-170, 2006.
DOI : 10.1007/s11160-006-9012-z

T. G. Pottinger and A. D. Pickering, Genetic basis to the stress response: selective breeding for stress-tolerant fish, pp. 171?193 in Fish stress and health in aquaculture, 1997.

D. Reid, A. Szanto, B. Glebe, R. Danzmann, and M. Ferguson, QTL for body weight and condition factor in Atlantic salmon (Salmo salar): comparative analysis with rainbow trout (Oncorhynchus mykiss) and Arctic charr (Salvelinus alpinus), Heredity, vol.94, issue.2, pp.166-172, 2005.
DOI : 10.1038/sj.hdy.6800590

D. L. Remington, J. M. Thornsberry, Y. Matsuoka, L. M. Wilson, and S. R. Whitt, Structure of linkage disequilibrium and phenotypic associations in the maize genome, Proc. Natl. Acad. Sci. USA, pp.11479-11484, 2001.
DOI : 10.1073/pnas.201394398

L. G. Riley, A. P. Jr, C. P. Walker, S. E. Dorough, E. G. Schwandt et al., Glucose regulates ghrelin, neuropeptide Y, and the GH/IGF-I axis in the tilapia, Oreochromis mossambicus, Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, vol.154, issue.4, pp.541-546, 2009.
DOI : 10.1016/j.cbpa.2009.08.018

M. V. Rockman, THE QTN PROGRAM AND THE ALLELES THAT MATTER FOR EVOLUTION: ALL THAT'S GOLD DOES NOT GLITTER, Evolution, vol.155, issue.Suppl 1, pp.1-17
DOI : 10.1111/j.1558-5646.2011.01486.x

H. C. Rowe, S. Renaut, and A. Guggisberg, RAD in the realm of nextgeneration sequencing technologies, Mol. Ecol, vol.20, pp.3499-3502, 2011.

S. Rozen and H. Skaletsky, Primer3 on the WWW for General Users and for Biologist Programmers, in Bioinformatics Methods and Protocols: Methods in Molecular Biology, pp.365-386, 2000.
DOI : 10.1385/1-59259-192-2:365

C. Sauvage, P. Boudry, D. J. De-koning, C. S. Haley, and S. Heurtebise, 2010a QTL for resistance to summer mortality and OsHV-1 load in the Pacific oyster (Crassostrea gigas), Anim. Genet, vol.41, pp.390-399

W. Schaffer, Equivalence of maximizing reproductive value and fitness in the case of reproductive strategies, Proc. Natl. Acad. Sci. USA, pp.3567-3569, 1979.
DOI : 10.1073/pnas.76.7.3567

J. O. Slate, INVITED REVIEW: Quantitative trait locus mapping in natural populations: progress, caveats and future directions, Molecular Ecology, vol.14, issue.2, pp.363-379, 2005.
DOI : 10.1111/j.1365-294X.2004.02378.x

J. Thorpe, Performance Thresholds and Life-History Flexibility in Salmonids, Conservation Biology, vol.8, issue.3, pp.877-879, 1994.
DOI : 10.1046/j.1523-1739.1994.08030863-8.x

R. L. Vallejo, C. E. Rexroad, I. , J. T. Silverstein, L. L. Janss et al., Evidence of major genes affecting stress response in rainbow trout using Bayesian methods of complex segregation analysis, Journal of Animal Science, vol.87, issue.11, pp.3490-3505, 2009.
DOI : 10.2527/jas.2008-1616

J. W. Van-ooijen, LOD significance thresholds for QTL analysis in experimental populations of diploid species, Heredity, vol.83, issue.5, pp.613-624, 1999.
DOI : 10.1038/sj.hdy.6886230

M. M. Vijayan and T. W. Moon, ), Canadian Journal of Fisheries and Aquatic Sciences, vol.49, issue.11, pp.2260-2266, 1992.
DOI : 10.1139/f92-247

P. M. Visscher, C. Haley, and S. A. Knott, Mapping QTLs for binary traits in backcross and F2 populations, Genetical Research, vol.69, issue.01, pp.55-63, 1996.
DOI : 10.1007/BF00222330

W. Bonga and S. E. , The stress response in fish, Physiol. Rev, vol.77, pp.591-625, 1997.

B. F. Wringe, R. H. Devlin, M. M. Ferguson, H. K. Moghadam, and D. Sakhrani, Growth-related quantitative trait loci in domestic and wild rainbow trout (Oncorhynchus mykiss), BMC Genetics, vol.11, issue.1, p.63, 2010.
DOI : 10.1186/1471-2156-11-63

S. Xu, Theoretical basis of the Beavis effect, Genetics, vol.165, pp.2259-2268, 2003.