Genome-wide association study and genomic prediction of tolerance to acute hypoxia in rainbow trout

被引:12
作者
Prchal, M. [1 ]
D'Ambrosio, J. [2 ]
Lagarde, H. [2 ]
Lallias, D. [2 ]
Patrice, P. [3 ]
Francois, Y. [3 ]
Poncet, C. [4 ]
Desgranges, A. [5 ]
Haffray, P. [3 ]
Dupont-Nivet, M. [2 ]
Phocas, F. [2 ]
机构
[1] Univ South Bohemia Ceske Budejovice, Fac Fisheries & Protect Waters, South Bohemian Res Ctr Aquaculture & Biodivers Hy, Zatisi 728-2, Vodnany 38925, Czech Republic
[2] Univ Paris Saclay, INRAE, AgroParisTech, GABI, F-78350 Jouy En Josas, France
[3] SYSAAF French Poultry & Aquaculture Breeders Tech, F-35042 Rennes, France
[4] Univ Clermont Auvergne, GDEC, INRAE, F-63039 Clermont Ferrand, France
[5] SARL Milin Nevez, F-29610 Plouigneau, France
关键词
GWAS; Heritability; Hypoxia resistance; Hypoxia tolerance; Oncorhynchus mykiss; CARP CYPRINUS-CARPIO; OREOCHROMIS-NILOTICUS; ONCORHYNCHUS-MYKISS; NILE TILAPIA; NITRIC-OXIDE; IN-VITRO; FISH; OXYGEN; GROWTH; EXPRESSION;
D O I
10.1016/j.aquaculture.2022.739068
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Hypoxia is one of the major threats to the aquaculture sector resulting in substantial economic losses to the fish farmers. Thus, tolerance to hypoxia is of high economic interest to be genetically improved by breeding programs. Rainbow trout (Oncorhynchus mykiss) is one of the most cultured salmonid species worldwide, with well-developed breeding programs. Still, studies of genetic potential to improve hypoxia tolerance in this species are rare. In the present study, 1320 individuals of rainbow trout were used for a genome-wide association study of acute hypoxia tolerance based on imputed high-density genotypes to explore the genetic architecture and related candidate genes affecting hypoxia response. Three significant (Omy31_1, Omy31_2, Omy20) and two putative (Omy15, Omy28) quantitative trait loci (QTLs) were detected, but each of them only explained between 0.2% and 0.8% of the genetic variance of acute hypoxia tolerance. However, heritability was estimated at a moderate value of 0.24-0.28, that suggests a solid potential to improve hypoxia tolerance in the studied rainbow trout population by genetic selection. Moreover, it was shown that genomic prediction for hypoxia tolerance would lead to a relative increase of similar to 11% for genomic selection (GS) accuracy compared to the pedigree-based selection, considering a reference population of 1000 individuals. Finally, fifteen genes (ids, fmr1, arx, lonrf3, commd5, map4k4, smu1, b4galt1, re1, abca1, noa1, igfbp7, noxo1, bcl2a, mylk3) were proposed as potential functional candidates involved in hypoxia tolerance. Taking all proposed candidate genes (6 out of 15 genes) and high linkage disequilibrium (r(2)) values within the main QTL (Omy31_1), we may hypothesize that the complex response to acute hypoxia in rainbow trout, i.e., the interplay between behavioural, morphological, and physiological responses, is primarily encoded by a supergene. However, further functional validation of their effects may help to specify the biological mechanisms triggering a response to acute hypoxia in rainbow trout.
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页数:14
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共 151 条
  • [1] Fish response to hypoxia stress: growth, physiological, and immunological biomarkers
    Abdel-Tawwab, Mohsen
    Monier, Mohamed N.
    Hoseinifar, Seyed Hossein
    Faggio, Caterina
    [J]. FISH PHYSIOLOGY AND BIOCHEMISTRY, 2019, 45 (03) : 997 - 1013
  • [2] Effects of hypoxia and hyperoxia on growth parameters and transcription levels of growth, immune system and stress related genes in rainbow trout
    Aksakal, Ercument
    Ekinci, Deniz
    [J]. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY A-MOLECULAR & INTEGRATIVE PHYSIOLOGY, 2021, 262
  • [3] Allal Francois, 2022, Methods Mol Biol, V2467, P469, DOI 10.1007/978-1-0716-2205-6_17
  • [4] Variation in temperature tolerance among families of Atlantic salmon (Salmo salar) is associated with hypoxia tolerance, ventricle size and myoglobin level
    Anttila, Katja
    Dhillon, Rashpal S.
    Boulding, Elizabeth G.
    Farrell, Anthony P.
    Glebe, Brian D.
    Elliott, Jake A. K.
    Wolters, William R.
    Schulte, Patricia M.
    [J]. JOURNAL OF EXPERIMENTAL BIOLOGY, 2013, 216 (07) : 1183 - 1190
  • [5] Bellesso S, 2018, HUM MOL GENET, V27, P2262, DOI 10.1093/hmg/ddy131
  • [6] Development of a High-Density 665 K SNP Array for Rainbow Trout Genome-Wide Genotyping
    Bernard, Maria
    Dehaullon, Audrey
    Gao, Guangtu
    Paul, Katy
    Lagarde, Henri
    Charles, Mathieu
    Prchal, Martin
    Danon, Jeanne
    Jaffrelo, Lydia
    Poncet, Charles
    Patrice, Pierre
    Haffray, Pierrick
    Quillet, Edwige
    Dupont-Nivet, Mathilde
    Palti, Yniv
    Lallias, Delphine
    Phocas, Florence
    [J]. FRONTIERS IN GENETICS, 2022, 13
  • [7] A comparative and evolutionary approach to oxidative stress in fish: A review
    Birnie-Gauvin, Kim
    Costantini, David
    Cooke, Steven J.
    Willmore, William G.
    [J]. FISH AND FISHERIES, 2017, 18 (05) : 928 - 942
  • [8] Exploiting the hypoxia sensitive non-coding genome for organ-specific physiologic reprogramming
    Bischof, Corinne
    Krishnan, Jaya
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH, 2016, 1863 (07): : 1782 - 1790
  • [9] Effects of egg size differences on juvenile weight between and within lots in rainbow trout Oncorhynchus mykiss
    Blanc, JM
    [J]. JOURNAL OF THE WORLD AQUACULTURE SOCIETY, 2002, 33 (03) : 278 - 286
  • [10] BESSiE: a software for linear model BLUP and Bayesian MCMC analysis of large-scale genomic data
    Boerner, Vinzent
    Tier, Bruce
    [J]. GENETICS SELECTION EVOLUTION, 2016, 48