Evidence map›Paper›PMID 25049829›Full record

ArticleAsian-Australasian journal of animal sciences2013

Identification of recently selected mutations driven by artificial selection in hanwoo (korean cattle).

Dajeong Lim, Cedric Gondro, Hye Sun Park, Yong Min Cho, Han Ha Chai, Hwan Hoo Seong, Bo Suk Yang, Seong Koo Hong, Won Kyung Chang, Seung Hwan Lee

Abstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Dajeong LimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Cedric GondroSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
Hye Sun ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Yong Min ChoAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Han Ha ChaiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Hwan Hoo SeongAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Bo Suk YangHanwoo Experiment Station, National Institute of Animal Science, RDA, PyeongChang 232-950, Korea.
Seong Koo HongAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Won Kyung ChangAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea.
Seung Hwan LeeHanwoo Experiment Station, National Institute of Animal Science, RDA, PyeongChang 232-950, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hanwoo have been subjected over the last seventy years to intensive artificial selection with the aim of improving meat production traits such as marbling and carcass weight. In this study, we performed a signature of selection analysis to identify recent positive selected regions driven by a long-term artificial selection process called a breeding program using whole genome SNP data. In order to investigate homozygous regions across the genome, we estimated iES (integrated Extended Haplotype Homozygosity SNP) for the each SNPs. As a result, we identified two highly homozygous regions that seem to be strong and/or recent positive selection. Five genes (DPH5, OLFM3, S1PR1, LRRN1 and CRBN) were included in this region. To go further in the interpretation of the observed signatures of selection, we subsequently concentrated on the annotation of differentiated genes defined according to the iES value of SNPs localized close or within them. We also described the detection of the adaptive evolution at the molecular level for the genes of interest. As a result, this analysis also led to the identification of OLFM3 as having a strong signal of selection in bovine lineage. The results of this study indicate that artificial selection which might have targeted most of these genes was mainly oriented towards improvement of meat production.

Indexed as

HanwooSignatures of SelectionSNP

Identifiers

PMID25049829
PMCPMC4093327

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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.