Evidence map›Paper›PMID 27023061›Full record

ArticlePloS one2016

Genomic Footprints in Selected and Unselected Beef Cattle Breeds in Korea.

Dajeong Lim, Eva M Strucken, Bong Hwan Choi, Han Ha Chai, Yong Min Cho, Gul Won Jang, Tae-Hun Kim, Cedric Gondro, Seung Hwan Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 31 citations in OpenAlex.

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  7. Long-range linkage disequilibrium in French beef cattle breeds.Genetics, selection, evolution : GSE · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Dajeong LimDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Eva M StruckenSchool of Environmental and Rural Science, University of New England, Armidale, NSW Australia.
Bong Hwan ChoiDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Han Ha ChaiDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Yong Min ChoDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Gul Won JangDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Tae-Hun KimDivision of Animal Genomics & Bioinformatics, National Institute of Animal Science, RDA, Jeonju 565-851, Republic of Korea.
Cedric GondroSchool of Environmental and Rural Science, University of New England, Armidale, NSW Australia.
Seung Hwan LeeDivision of Animal and Dairy Science, Chung Nam National University, Daejeon 305-764, Republic of Korea.
National Institute of Animal Science · KRUniversity of New England · AUChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Korean Hanwoo cattle have been subjected to intensive artificial selection over the past four decades to improve meat production traits. Another three cattle varieties very closely related to Hanwoo reside in Korea (Jeju Black and Brindle) and in China (Yanbian). These breeds have not been part of a breeding scheme to improve production traits. Here, we compare the selected Hanwoo against these similar but presumed to be unselected populations to identify genomic regions that have been under recent selection pressure due to the breeding program. Rsb statistics were used to contrast the genomes of Hanwoo versus a pooled sample of the three unselected population (UN). We identified 37 significant SNPs (FDR corrected) in the HW/UN comparison and 21 known protein coding genes were within 1 MB to the identified SNPs. These genes were previously reported to affect traits important for meat production (14 genes), reproduction including mammary gland development (3 genes), coat color (2 genes), and genes affecting behavioral traits in a broader sense (2 genes). We subsequently sequenced (Illumina HiSeq 2000 platform) 10 individuals of the brown Hanwoo and the Chinese Yanbian to identify SNPs within the candidate genomic regions. Based on allele frequency differences, haplotype structures, and literature research, we singled out one non-synonymous SNP in the APP gene (APP: c.569C>T, Ala199Val) and predicted the mutational effect on the protein structure. We found that protein-protein interactions might be impaired due to increased exposed hydrophobic surfaces of the mutated protein. The APP gene has also been reported to affect meat tenderness in pigs and obesity in humans. Meat tenderness has been linked to intramuscular fat content, which is one of the main breeding goals for brown Hanwoo, potentially supporting a causal influence of the herein described nsSNP in the APP gene.

Indexed as

BreedingGenomeGenomicsMeatSelection, GeneticAmyloid beta-Protein PrecursorAnimalsCattleCluster AnalysisGene FrequencyGenetic VariationMutationPolymorphism, Single NucleotidePrincipal Component AnalysisRepublic of KoreaAmyloid beta-Protein Precursor

Identifiers

PMID27023061
PMCPMC4811422
OpenAlexW2317026111

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.