Literature DB >> 22114848

Polymorphisms in genes in the SREBP1 signalling pathway and SCD are associated with milk fatty acid composition in Holstein cattle.

Gonzalo Rincon1, Alma Islas-Trejo, Alejandro R Castillo, Dale E Bauman, Bruce J German, Juan F Medrano.   

Abstract

Genes in the sterol regulatory element-binding protein-1 (SREBP1) pathway play a central role in regulation of milk fat synthesis, especially the de-novo synthesis of saturated fatty acids. SCD, a SREBP-responsive gene, is the key enzyme in the synthesis of monounsaturated fatty acids in the mammary gland. In the present study, we discovered SNP in candidate genes associated with this signalling pathway and SCD to identify genetic markers that can be used for genetic and metabolically directed selection in cattle. We resequenced six candidate genes in the SREBP1 pathway (SREBP1, SCAP, INSIG1, INSIG2, MBTPS1, MBTPS2) and two genes for SCD (SCD1 and SCD5) and discovered 47 Tag SNP that were used in a marker-trait association study. Milk and blood samples were collected from Holstein cows in their 1st or 2nd parity at 100-150 days of lactation. Individual fatty acids from C4 to C20, saturated fatty acid (SFA) content, monounsaturated fatty acid content, polyunsaturated fatty acid content and desaturase indexes were measured and used to perform the asociation analysis. Polymorphisms in the SCD5 and INSIG2 genes were the most representative markers associated with SFA/unsaturated fatty acid (UFA) ratio in milk. The analysis of desaturation activity determined that markers in the SCD1 and SCD5 genes showed the most significant effects. DGAT1 K232A marker was included in the study to examine the effect of this marker on the variation of milk fatty acids in our Holstein population. The percentage of variance explained by DGAT1 in the analysis was only 6% of SFA/UFA ratio. Milk fat depression was observed in one of the dairy herds and in this particular dairy one SNP in the SREBP1 gene (rs41912290) accounted for 40% of the phenotypic variance. Our results provide detailed SNP information for key genes in the SREBP1 signalling pathway and SCD that can be used to change milk fat composition by marker-assisted breeding to meet consumer demands regarding human health, as well as furthering understanding of technological aspects of cows' milk.

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Year:  2011        PMID: 22114848     DOI: 10.1017/S002202991100080X

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  27 in total

1.  RNA sequencing to study gene expression and SNP variations associated with growth in zebrafish fed a plant protein-based diet.

Authors:  Pilar E Ulloa; Gonzalo Rincón; Alma Islas-Trejo; Cristian Araneda; Patricia Iturra; Roberto Neira; Juan F Medrano
Journal:  Mar Biotechnol (NY)       Date:  2015-02-22       Impact factor: 3.619

Review 2.  Milk lipid regulation at the maternal-offspring interface.

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Journal:  Semin Cell Dev Biol       Date:  2017-10-24       Impact factor: 7.727

3.  Lithium Chloride Promotes Milk Protein and Fat Synthesis in Bovine Mammary Epithelial Cells via HIF-1α and β-Catenin Signaling Pathways.

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Journal:  Biol Trace Elem Res       Date:  2022-01-26       Impact factor: 3.738

Review 4.  Fatty acid desaturases (FADs) modulate multiple lipid metabolism pathways to improve plant resistance.

Authors:  Ruixue Xiao; Yirong Zou; Xiaorui Guo; Hui Li; Hai Lu
Journal:  Mol Biol Rep       Date:  2022-07-11       Impact factor: 2.742

5.  Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle.

Authors:  Mahdi Saatchi; Dorian J Garrick; Richard G Tait; Mary S Mayes; Mary Drewnoski; Jon Schoonmaker; Clara Diaz; Don C Beitz; James M Reecy
Journal:  BMC Genomics       Date:  2013-10-25       Impact factor: 3.969

6.  Genome wide association study identifies 20 novel promising genes associated with milk fatty acid traits in Chinese Holstein.

Authors:  Cong Li; Dongxiao Sun; Shengli Zhang; Sheng Wang; Xiaoping Wu; Qin Zhang; Lin Liu; Yanhua Li; Lv Qiao
Journal:  PLoS One       Date:  2014-05-23       Impact factor: 3.240

7.  Selection signatures in worldwide sheep populations.

Authors:  Maria-Ines Fariello; Bertrand Servin; Gwenola Tosser-Klopp; Rachel Rupp; Carole Moreno; Magali San Cristobal; Simon Boitard
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

8.  Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.

Authors:  I M MacLeod; P J Bowman; C J Vander Jagt; M Haile-Mariam; K E Kemper; A J Chamberlain; C Schrooten; B J Hayes; M E Goddard
Journal:  BMC Genomics       Date:  2016-02-27       Impact factor: 3.969

9.  Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.

Authors:  Lesley-Ann Raven; Benjamin G Cocks; Michael E Goddard; Jennie E Pryce; Ben J Hayes
Journal:  Genet Sel Evol       Date:  2014-04-29       Impact factor: 4.297

10.  Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle.

Authors:  Liuhong Chen; Chinyere Ekine-Dzivenu; Michael Vinsky; John Basarab; Jennifer Aalhus; Mike E R Dugan; Carolyn Fitzsimmons; Paul Stothard; Changxi Li
Journal:  BMC Genet       Date:  2015-11-21       Impact factor: 2.797

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