Evidence map›Paper›PMID 28855565›Full record

ArticleScientific reports2017

Genome-wide genetic structure and differentially selected regions among Landrace, Erhualian, and Meishan pigs using specific-locus amplified fragment sequencing.

Zhen Li, Shengjuan Wei, Hejun Li, Keliang Wu, Zhaowei Cai, Dongfeng Li, Wei Wei, Qifa Li, Jie Chen, Honglin Liu and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

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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

16 citing papers in PubMed.

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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

11 authors.

Zhen LiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Shengjuan WeiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Hejun LiShanghai Animal Disease Control Center, Shanghai, 201103, China.
Keliang WuCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Zhaowei CaiLaboratory Animal Research Center, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Dongfeng LiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Wei WeiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Qifa LiCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Jie ChenCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Honglin LiuCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Lifan ZhangCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China. lifanzhang@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As typical Chinese indigenous pig breeds, Erhualian and Meishan have been widely used to produce new strain or breed in the world. However, the genetic basis of characteristics of these pig breeds is still limited. Moreover, considering cost and output of sequencing, it is necessary to further develop cost-effective method for pig genome screening. To contribute on this issue, we developed a SLAF-seq (specific-locus amplified fragment sequencing) method for pigs and applied it to analyze the genetic difference among Landrace, Erhualian, and Meishan pigs. A total of 453.75 million reads were produced by SLAF-seq. After quality-control, 165,670 SNPs (single nucleotide polymorphisms) were used in further analysis. The results showed that Landrace had distinct genetic relationship compared to Erhualian (F

Indexed as

Genetic LociGenomeQuantitative Trait, HeritableAnimalsBreedingChinaChromosome MappingGenetics, PopulationHigh-Throughput Nucleotide SequencingPhylogenyPolymorphism, Single NucleotideSwine

Identifiers

PMID28855565
PMCPMC5577042

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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.