dc.contributor.author | Pegolo, Sara | |
dc.contributor.author | Dadousis, Christos | |
dc.contributor.author | Mach, Núria | |
dc.contributor.author | Ramayo-Caldas, Yuliaxis | |
dc.contributor.author | Mele, Marcello | |
dc.contributor.author | Conte, Giuseppe | |
dc.contributor.author | Schiavon, Stefano | |
dc.contributor.author | Bittante, Giovanni | |
dc.contributor.author | Cecchinato, Alessio | |
dc.contributor.other | Producció Animal | ca |
dc.date.accessioned | 2022-06-09T12:38:52Z | |
dc.date.available | 2022-06-09T12:38:52Z | |
dc.date.issued | 2017-12-11 | |
dc.identifier.citation | Pegolo, Sara, Christos Dadousis, Núria Mach, Yuliaxis Ramayo-Caldas, Marcello Mele, Giuseppe Conte, Stefano Schiavon, Giovanni Bittante, and Alessio Cecchinato. 2017. "SNP Co-Association And Network Analyses Identify E2F3, KDM5A And BACH2 As Key Regulators Of The Bovine Milk Fatty Acid Profile". Scientific Reports 7 (1). doi:10.1038/s41598-017-17434-7. | ca |
dc.identifier.issn | 2045-2322 | ca |
dc.identifier.uri | http://hdl.handle.net/20.500.12327/1794 | |
dc.description.abstract | The fatty acid (FA) profle has a considerable impact on the nutritional and technological quality of milk
and dairy products. The molecular mechanism underlying the regulation of fat metabolism in bovine
mammary gland have been not completely elucidated. We conducted genome-wide association studies
(GWAS) across 65 milk FAs and fat percentage in 1,152 Brown Swiss cows. In total, we identifed 175
signifcant single nucleotide polymorphism (SNPs) spanning all chromosomes. Pathway analyses
revealed that 12:0 was associated with the greatest number of overrepresented categories/pathways
(e.g. mitogen-activated protein kinase (MAPK) activity and protein phosphorylation), suggesting that
it might play an important biological role in controlling milk fat composition. An Associated Weight
Matrix approach based on SNP co-associations predicted a network of 791 genes related to the milk FA
profle, which were involved in several connected molecular pathways (e.g., MAPK, lipid metabolism
and hormone signalling) and undetectable through standard GWAS. Analysis of transcription factors
and their putative target genes within the network identifed BACH2, E2F3 and KDM5A as key
regulators of milk FA metabolism. These fndings contribute to increasing knowledge of FA metabolism
and mammary gland functionality in dairy cows and may be useful in developing targeted breeding
practices to improve milk quality. | ca |
dc.format.extent | 19 | ca |
dc.language.iso | eng | ca |
dc.publisher | Nature Research | ca |
dc.relation.ispartof | Scientific Reports | ca |
dc.rights | Attribution 4.0 International | ca |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | SNP co-association and network analyses identify E2F3, KDM5A and BACH2 as key regulators of the bovine milk fatty acid profile | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.description.version | info:eu-repo/semantics/publishedVersion | ca |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | ca |
dc.subject.udc | 637 | ca |
dc.identifier.doi | https://doi.org/10.1038/s41598-017-17434-7 | ca |
dc.contributor.group | Genètica i Millora Animal | ca |