Evidence map›Paper›PMID 29879810›Full record

ArticleAsian-Australasian journal of animal sciences2018

In silico approaches to discover the functional impact of non-synonymous single nucleotide polymorphisms in selective sweep regions of the Landrace genome.

Donghyun Shin, Kyung-Hye Won, Ki-Duk Song

Abstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Donghyun ShinDepartment of Animal Biotechnology, Chonbuk National University, Jeonju 54896, Korea.
Kyung-Hye WonDepartment of Animal Biotechnology, Chonbuk National University, Jeonju 54896, Korea.
Ki-Duk SongDepartment of Animal Biotechnology, Chonbuk National University, Jeonju 54896, Korea.

Funding

Rural Development Administration PJ01110901Rural Development Administration PJ01315101
6 · The paper itself

Abstract

objectiveThe aim of this study was to discover the functional impact of non-synonymous single nucleotide polymorphisms (nsSNPs) that were found in selective sweep regions of the Landrace genome.

methodsWhole-genome re-sequencing data were obtained from 40 pigs, including 14 Landrace, 16 Yorkshire, and 10 wild boars, which were generated with the Illumina HiSeq 2000 platform. The nsSNPs in the selective sweep regions of the Landrace genome were identified, and the impacts of these variations on protein function were predicted to reveal their potential association with traits of the Landrace breed, such as reproductive capacity.

resultsTotal of 53,998 nsSNPs in the mapped regions of pigs were identified, and among them, 345 nsSNPs were found in the selective sweep regions of the Landrace genome which were reported previously. The genes featuring these nsSNPs fell into various functional categories, such as reproductive capacity or growth and development during the perinatal period. The impacts of amino acid sequence changes by nsSNPs on protein function were predicted using two in silico SNP prediction algorithms, i.e., sorting intolerant from tolerant and polymorphism phenotyping v2, to reveal their potential roles in biological processes that might be associated with the reproductive capacity of the Landrace breed.

conclusionThe findings elucidated the domestication history of the Landrace breed and illustrated how Landrace domestication led to patterns of genetic variation related to superior reproductive capacity. Our novel findings will help understand the process of Landrace domestication at the genome level and provide SNPs that are informative for breeding.

Indexed as

LandraceNext-generation SequencingNon-synonymous Single Nucleotide PolymorphismReproductive CapacitySelective Sweep

Identifiers

PMID29879810
PMCPMC6212746

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