Deciphering mechanisms underlying the genetic variation of general production and liver quality traits in the overfed mule duck by pQTL analyses

Autor: Nathalie Marty-Gasset, Laurence Liaubet, Christel Marie-Etancelin, Alain Vignal, Stéphane Davail, Yoannah François, C. Molette
Přispěvatelé: Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM), Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université de Pau et des Pays de l'Adour (UPPA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Pau et des Pays de l'Adour (UPPA)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
0301 basic medicine
[SDV]Life Sciences [q-bio]
Chicken Genome
Poultry Products
lcsh:SF1-1100
2. Zero hunger
Genetics
education.field_of_study
Quantitative Trait Locus Analysis
Fatty liver
Melting Rate
Genetic Pleiotropy
General Medicine
alternative model
Ducks
Liver
loci
Female
Quantitative Trait Locus Detection
Glycolysis
Research Article
Quantitative Trait Locus
qtl detection
lcsh:QH426-470
chicken
Quantitative Trait Loci
Population
Quantitative trait locus
Biology
03 medical and health sciences
Quantitative Trait
Heritable
Genetic variation
expression
medicine
Animals
Genetic variability
foie gras
education
Gene
genome
Ecology
Evolution
Behavior and Systematics
variability
Lipogenesis
Genetic Variation
Phenotypic trait
medicine.disease
livestock
lcsh:Genetics
030104 developmental biology
Genetic marker
metabolism
Animal Science and Zoology
lcsh:Animal culture
Zdroj: Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.38. ⟨10.1186/s12711-017-0313-6⟩
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-19 (2017)
Genetics Selection Evolution (49), 1-19. (2017)
Genetics, Selection, Evolution : GSE
ISSN: 0999-193X
1297-9686
DOI: 10.1186/s12711-017-0313-6⟩
Popis: Background The aim of this study was to analyse the mechanisms that underlie phenotypic quantitative trait loci (QTL) in overfed mule ducks by identifying co-localized proteomic QTL (pQTL). The QTL design consisted of three families of common ducks that were progeny-tested by using 294 male mule ducks. This population of common ducks was genotyped using a genetic map that included 334 genetic markers located across 28 APL chromosomes (APL for Anas platyrhynchos). Mule ducks were phenotyped for 49 traits related to growth, metabolism, overfeeding ability and meat and fatty liver quality, and 326 soluble fatty liver proteins were quantified. Results One hundred and seventy-six pQTL and 80 phenotypic QTL were detected at the 5% chromosome-wide significance threshold. The great majority of the identified pQTL were trans-acting and localized on a chromosome other than that carrying the coding gene. The most significant pQTL (1% genome-wide significance) were found for alpha-enolase on APL18 and fatty acid synthase on APL24. Some proteins were associated with numerous pQTL (for example, 17 and 14 pQTL were detected for alpha-enolase and apolipoprotein A1, respectively) and pQTL hotspots were observed on some chromosomes (APL18, 24, 25 and 29). We detected 66 co-localized phenotypic QTL and pQTL for which the significance of the two-trait QTL (2t-QTL) analysis was higher than that of the strongest QTL using a single-trait approach. Among these, 16 2t-QTL were pleiotropic. For example, on APL15, melting rate and abundance of two alpha-enolase spots appeared to be impacted by a single locus that is involved in the glycolytic process. On APLZ, we identified a pleiotropic QTL that modified both the blood level of glucose at the beginning of the force-feeding period and the concentration of glutamate dehydrogenase, which, in humans, is involved in increased glucose absorption by the liver when the glutamate dehydrogenase 1 gene is mutated. Conclusions We identified pleiotropic loci that affect metabolic pathways linked to glycolysis or lipogenesis, and in the end to fatty liver quality. Further investigation, via transcriptomics and metabolomics approaches, is required to confirm the biomarkers that were found to impact the genetic variability of these phenotypic traits. Electronic supplementary material The online version of this article (doi:10.1186/s12711-017-0313-6) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
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