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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genome-wide association study of milk fatty acid composition in Italian Simmental and Italian Holstein cows using single nucleotide polymorphism arrays

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Palombo, V [1] ; Milanesi, M. [2, 3] ; Sgorlon, S. [4] ; Capomaccio, S. [2, 5] ; Mele, M. [6] ; Nicolazzi, E. [7] ; Ajmone-Marsan, P. [2] ; Pilla, F. [1] ; Stefanon, B. [4] ; D'Andrea, M. [1]
Total Authors: 10
[1] Univ Molise, Dipartimento Agr Ambiente & Alimenti, Via De Sanctis Snc, I-86100 Campobasso - Italy
[2] Univ Cattolica Sacro Cuore, Ist Zootecn, Via Emilia Parmense 84, I-29122 Piacenza - Italy
[3] Sao Paulo State Univ, Sch Vet Med, Dept Support Prod & Anim Hlth, Rua Clovis Pestana 793, BR-16050680 Aracatuba, SP - Brazil
[4] Univ Udine, Dipartimento Sci Agroambientali Alimentari & Anim, Via Sci 208, I-33100 Udine - Italy
[5] Univ Perugia, Dipartimento Med Vet, Via San Costanzo 4, I-06126 Perugia - Italy
[6] Univ Pisa, Dipartimento Sci Agr Alimentari & Agroambientali, Via Borghetto 80, I-56124 Pisa - Italy
[7] PTP Sci Pk, Via Einstein Loc Cascina Codazza, I-26900 Lodi - Italy
Total Affiliations: 7
Document type: Journal article
Source: JOURNAL OF DAIRY SCIENCE; v. 101, n. 12, p. 11004-11019, DEC 2018.
Web of Science Citations: 3

Bovine milk is important for human nutrition, but its fat content is often criticized as a risk factor in cardiovascular disease. Selective breeding programs could be used to alter the fatty acid (FA) composition of bovine milk to improve the healthiness of dairy products for human consumption. Here, we performed a genome-wide association study (GWAS) on bovine milk to identify genomic regions or specific genes associated with FA profile and to investigate genetic differences between the Italian Sirnmental (IS) and Italian Holstein (IH) breeds. To achieve this, we first characterized milk samples from 416 IS cows and 436 III cows for their fat profile by gas chromatography. Subjects were genotyped with single nucleotide polymorphism array and a single-marker regression model for GWAS was performed. Our findings confirm previously reported quantitative trait loci strongly associated with bovine milk fat composition. More specifically, our GWAS results revealed significant signals on chromosomes Dos taurus autosome 19 and 26 for milk FA. Further analysis using a gene-centric approach and pathway meta-analysis identified not only some well-known genes underlying quantitative trait loci for milk FA components, such as FASN, SCD, and DGAT1, but also other significant candidate genes, including some with functional roles in pathways related to ``Lipid metabolism.{''} Highlighted genes related to FA profile include ECI2, PCYT2, DCXR, G6PC3, PYCR1, and ALG12 in IS, and CYP17A1, ACO2, PL4K2A, GOT1, GPT, NT5C2 PDE6G, POLR3H, and COX15 in IH. Overall, the breed-specific association outcomes reflect differences in the genetic backgrounds of the IS arid III breeds and their selective breeding histories. (AU)

FAPESP's process: 16/05787-7 - Combining high-density SNP genotypes and next generation sequence data to map disadvantageous genetic variants in Nellore cattle
Grantee:Marco Milanesi
Support type: Scholarships in Brazil - Post-Doctorate