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

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

Show other versions (1)

Background As consumers continue to request food products that have health advantages, it will be important for the livestock industry to supply a product that meet these demands. One such nutrient is fatty acids, which have been implicated as playing a role in cardiovascular disease. Therefore, the objective of this study was to determine the extent to which molecular markers could account for variation in fatty acid composition of skeletal muscle and identify genomic regions that harbor genetic variation.Results Subsets of markers on the Illumina 54K bovine SNPchip were able to account for up to 57% of the variance observed in fatty acid composition. In addition, these markers could be used to calculate a direct genomic breeding values (DGV) for a given fatty acids with an accuracy (measured as simple correlations between DGV and phenotype) ranging from -0.06 to 0.57. Furthermore, 57 1-Mb regions were identified that were associated with at least one fatty acid with a posterior probability of inclusion greater than 0.90. 1-Mb regions on BTA19, BTA26 and BTA29, which harbored fatty acid synthase, Sterol-CoA desaturase and thyroid hormone responsive candidate genes, respectively, explained a high percentage of genetic variance in more than one fatty acid. It was also observed that the correlation between DGV for different fatty acids at a given 1-Mb window ranged from almost 1 to -1.Conclusions Further investigations are needed to identify the causal variants harbored within the identified 1-Mb windows. For the first time, Angus breeders have a tool whereby they could select for altered fatty acid composition. Furthermore, these reported results could improve our understanding of the biology of fatty acid metabolism and deposition. © 2013 Saatchi et al.; licensee BioMed Central Ltd.

Saved in:
Bibliographic Details
Main Authors: Saatchi, M., Garrick, D. J., Tait, R. G., Mayes, M. S., Drewnoski, M., Schoonmaker, J., Díaz, C., Beitz, D. C., Reecy, J. M.
Format: artículo biblioteca
Language:English
Published: BioMed Central 2013
Subjects:Intramuscular fat, Genome architecture, Angus,
Online Access:http://hdl.handle.net/20.500.12792/5449
http://hdl.handle.net/10261/292579
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-inia-es-10261-292579
record_format koha
spelling dig-inia-es-10261-2925792023-02-20T07:30:22Z Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle Saatchi, M. Garrick, D. J. Tait, R. G. Mayes, M. S. Drewnoski, M. Schoonmaker, J. Díaz, C. Beitz, D. C. Reecy, J. M. Intramuscular fat Genome architecture Angus Background As consumers continue to request food products that have health advantages, it will be important for the livestock industry to supply a product that meet these demands. One such nutrient is fatty acids, which have been implicated as playing a role in cardiovascular disease. Therefore, the objective of this study was to determine the extent to which molecular markers could account for variation in fatty acid composition of skeletal muscle and identify genomic regions that harbor genetic variation.Results Subsets of markers on the Illumina 54K bovine SNPchip were able to account for up to 57% of the variance observed in fatty acid composition. In addition, these markers could be used to calculate a direct genomic breeding values (DGV) for a given fatty acids with an accuracy (measured as simple correlations between DGV and phenotype) ranging from -0.06 to 0.57. Furthermore, 57 1-Mb regions were identified that were associated with at least one fatty acid with a posterior probability of inclusion greater than 0.90. 1-Mb regions on BTA19, BTA26 and BTA29, which harbored fatty acid synthase, Sterol-CoA desaturase and thyroid hormone responsive candidate genes, respectively, explained a high percentage of genetic variance in more than one fatty acid. It was also observed that the correlation between DGV for different fatty acids at a given 1-Mb window ranged from almost 1 to -1.Conclusions Further investigations are needed to identify the causal variants harbored within the identified 1-Mb windows. For the first time, Angus breeders have a tool whereby they could select for altered fatty acid composition. Furthermore, these reported results could improve our understanding of the biology of fatty acid metabolism and deposition. © 2013 Saatchi et al.; licensee BioMed Central Ltd. 2023-02-20T07:30:22Z 2023-02-20T07:30:22Z 2013 artículo BMC Genomics 14: e730 (2013) http://hdl.handle.net/20.500.12792/5449 http://hdl.handle.net/10261/292579 10.1186/1471-2164-14-730 1471-2164 en open BioMed Central
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
language English
topic Intramuscular fat
Genome architecture
Angus
Intramuscular fat
Genome architecture
Angus
spellingShingle Intramuscular fat
Genome architecture
Angus
Intramuscular fat
Genome architecture
Angus
Saatchi, M.
Garrick, D. J.
Tait, R. G.
Mayes, M. S.
Drewnoski, M.
Schoonmaker, J.
Díaz, C.
Beitz, D. C.
Reecy, J. M.
Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
description Background As consumers continue to request food products that have health advantages, it will be important for the livestock industry to supply a product that meet these demands. One such nutrient is fatty acids, which have been implicated as playing a role in cardiovascular disease. Therefore, the objective of this study was to determine the extent to which molecular markers could account for variation in fatty acid composition of skeletal muscle and identify genomic regions that harbor genetic variation.Results Subsets of markers on the Illumina 54K bovine SNPchip were able to account for up to 57% of the variance observed in fatty acid composition. In addition, these markers could be used to calculate a direct genomic breeding values (DGV) for a given fatty acids with an accuracy (measured as simple correlations between DGV and phenotype) ranging from -0.06 to 0.57. Furthermore, 57 1-Mb regions were identified that were associated with at least one fatty acid with a posterior probability of inclusion greater than 0.90. 1-Mb regions on BTA19, BTA26 and BTA29, which harbored fatty acid synthase, Sterol-CoA desaturase and thyroid hormone responsive candidate genes, respectively, explained a high percentage of genetic variance in more than one fatty acid. It was also observed that the correlation between DGV for different fatty acids at a given 1-Mb window ranged from almost 1 to -1.Conclusions Further investigations are needed to identify the causal variants harbored within the identified 1-Mb windows. For the first time, Angus breeders have a tool whereby they could select for altered fatty acid composition. Furthermore, these reported results could improve our understanding of the biology of fatty acid metabolism and deposition. © 2013 Saatchi et al.; licensee BioMed Central Ltd.
format artículo
topic_facet Intramuscular fat
Genome architecture
Angus
author Saatchi, M.
Garrick, D. J.
Tait, R. G.
Mayes, M. S.
Drewnoski, M.
Schoonmaker, J.
Díaz, C.
Beitz, D. C.
Reecy, J. M.
author_facet Saatchi, M.
Garrick, D. J.
Tait, R. G.
Mayes, M. S.
Drewnoski, M.
Schoonmaker, J.
Díaz, C.
Beitz, D. C.
Reecy, J. M.
author_sort Saatchi, M.
title Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
title_short Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
title_full Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
title_fullStr Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
title_full_unstemmed Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattle
title_sort genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in angus beef cattle
publisher BioMed Central
publishDate 2013
url http://hdl.handle.net/20.500.12792/5449
http://hdl.handle.net/10261/292579
work_keys_str_mv AT saatchim genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT garrickdj genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT taitrg genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT mayesms genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT drewnoskim genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT schoonmakerj genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT diazc genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT beitzdc genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
AT reecyjm genomewideassociationandpredictionofdirectgenomicbreedingvaluesforcompositionoffattyacidsinangusbeefcattle
_version_ 1767603364439261184

Similar Items