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Genome-wide association study confirm major QTL for backfat fatty acid composition on SSC14 in Duroc pigs

Overview of attention for article published in BMC Genomics, May 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Genome-wide association study confirm major QTL for backfat fatty acid composition on SSC14 in Duroc pigs
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3752-0
Pubmed ID
Authors

Maren van Son, Eli Gjerlaug Enger, Harald Grove, Roger Ros-Freixedes, Matthew P. Kent, Sigbjørn Lien, Eli Grindflek

Abstract

Fatty acid composition contributes importantly to meat quality and is essential to the nutritional value of the meat. Identification of genetic factors underlying levels of fatty acids can be used to breed for pigs with healthier meat. The aim of this study was to conduct genome-wide association studies (GWAS) to identify QTL regions affecting fatty acid composition in backfat from the pig breeds Duroc and Landrace. Using data from the Axiom porcine 660 K array, we performed GWAS on 454 Duroc and 659 Landrace boars for fatty acid phenotypes measured by near-infrared spectroscopy (NIRS) technology (C16:0, C16:1n-7, C18:0, C18:1n-9, C18:2n-6, C18:3n-3, total saturated fatty acids, monounsaturated fatty acids and polyunsaturated fatty acids). Two QTL regions on SSC4 and SSC14 were identified in Duroc for the de novo synthesized fatty acids traits, whereas one QTL on SSC8 was detected in Landrace for C16:1n-7. The QTL region on SSC14 has been reported in previous studies and a putative causative mutation has been suggested in the promoter region of the SCD gene. Whole genome re-sequencing data was used for genotype imputation and to fine map the SSC14 QTL region in Norwegian Duroc. This effort confirms the location of the QTL on this chromosome as well as suggesting other putative candidate genes in the region. The most significant single nucleotide polymorphisms (SNPs) located on SSC14 explain between 55 and 76% of the genetic variance and between 27 and 54% of the phenotypic variance for the de novo synthesized fatty acid traits in Norwegian Duroc. For the QTL region on SSC8 in Landrace, the most significant SNP explained 19% of the genetic variance and 5% of the phenotypic variance for C16:1n-7. This study confirms a major QTL affecting fatty acid composition on SSC14 in Duroc, which can be used in genetic selection to increase the level of fatty acid desaturation. The SSC14 QTL was not segregating in the Landrace population, but another QTL on SSC8 affecting C16:1n-7 was identified and might be used to increase the level of desaturation in meat products from this breed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 21%
Student > Ph. D. Student 11 15%
Researcher 8 11%
Student > Bachelor 5 7%
Student > Doctoral Student 2 3%
Other 6 8%
Unknown 26 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 40%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 28 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2017.
All research outputs
#6,036,065
of 22,971,207 outputs
Outputs from BMC Genomics
#2,509
of 10,686 outputs
Outputs of similar age
#95,296
of 310,860 outputs
Outputs of similar age from BMC Genomics
#56
of 208 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,860 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.