Literature DB >> 15081995

Genetic linkage and expression analysis of SREBP and lipogenic genes in fat and lean chicken.

Sirine Assaf1, Sandrine Lagarrigue, Stéphanie Daval, Manuella Sansom, Bernard Leclercq, Joël Michel, Frédérique Pitel, Mehdi Alizadeh, Alain Vignal, Madeleine Douaire.   

Abstract

To identify the genes directly responsible, through DNA polymorphism, for the difference in fatness observed between a lean and a fat chicken line, we studied five genes (ACL, ACC, FAS, ME, SCD1) encoding key enzymes involved in liver fatty acid synthesis and secretion. Genetic linkage was tested between polymorphic sites in the genes and the fatness trait segregating in an F2 design obtained by inter-crossing the two fat and lean lines. Despite a confirmation of a higher mRNA level in the fat birds, no genetic linkage of the gene alleles with the phenotype could be found. As a test of the implication of upstream regulatory transcription factors, SREPB genes were also studied. The lack of genetic linkage of SREBP genes with fatness shows that these genes are not directly responsible through polymorphism for fatness variability in our model. Moreover, the similar SREBP mRNA levels observed between the two lines led us to exclude also transcriptional factors regulating the two SREBP genes as being directly responsible for fatness variability. However, the genes involved in post-translational modifications of SREBPs remain candidates to investigate. These results emphasised the interest to perform expression and genetic linkage studies jointly, to progress in identifying the genetic origin of variability of a quantitative trait.

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Year:  2004        PMID: 15081995     DOI: 10.1016/j.cbpc.2004.02.005

Source DB:  PubMed          Journal:  Comp Biochem Physiol B Biochem Mol Biol        ISSN: 1096-4959            Impact factor:   2.231


  7 in total

1.  Distinct C/EBPalpha motifs regulate lipogenic and gluconeogenic gene expression in vivo.

Authors:  Thomas A Pedersen; Oxana Bereshchenko; Susana Garcia-Silva; Olga Ermakova; Elke Kurz; Susanne Mandrup; Bo T Porse; Claus Nerlov
Journal:  EMBO J       Date:  2007-02-08       Impact factor: 11.598

2.  Transcriptional analysis of abdominal fat in genetically fat and lean chickens reveals adipokines, lipogenic genes and a link between hemostasis and leanness.

Authors:  Christopher W Resnyk; Wilfrid Carré; Xiaofei Wang; Tom E Porter; Jean Simon; Elisabeth Le Bihan-Duval; Michael J Duclos; Sam E Aggrey; Larry A Cogburn
Journal:  BMC Genomics       Date:  2013-08-16       Impact factor: 3.969

3.  Flaxseed and Carbohydrase Enzyme Supplementation Alters Hepatic n-3 Polyunsaturated Fatty Acid Molecular Species and Expression of Genes Associated with Lipid Metabolism in Broiler Chickens.

Authors:  Brian Head; Massimo Bionaz; Gita Cherian
Journal:  Vet Sci       Date:  2019-03-08

4.  Characterization of Growth, Fat Deposition, and Lipid Metabolism-Related Gene Expression in Lean and Obese Meat-Type Chickens.

Authors:  Sae Suzuki; Misato Kobayashi; Atsushi Murai; Masaoki Tsudzuki; Akira Ishikawa
Journal:  J Poult Sci       Date:  2019-04-25       Impact factor: 1.425

5.  Using transcriptome profiling to characterize QTL regions on chicken chromosome 5.

Authors:  Guillaume Le Mignon; Colette Désert; Frédérique Pitel; Sophie Leroux; Olivier Demeure; Gregory Guernec; Behnam Abasht; Madeleine Douaire; Pascale Le Roy; Sandrine Lagarrigue
Journal:  BMC Genomics       Date:  2009-12-02       Impact factor: 3.969

6.  RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.

Authors:  Christopher W Resnyk; Chuming Chen; Hongzhan Huang; Cathy H Wu; Jean Simon; Elisabeth Le Bihan-Duval; Michel J Duclos; Larry A Cogburn
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

7.  Nuciferine reduced fat deposition by controlling triglyceride and cholesterol concentration in broiler chickens.

Authors:  Yingying Zhou; Zhanghan Chen; Qiumin Lin; Yang Yang; Yunzhen Hang; Xinni Zhou; Changbiao Wu; Zhenglu Xie
Journal:  Poult Sci       Date:  2020-09-12       Impact factor: 3.352

  7 in total

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