Evidence map›Paper›PMID 37889708›Full record

ArticleAnimals : an open access journal from MDPI2023

Genome-Wide Re-Sequencing Data Reveals the Population Structure and Selection Signatures of Tunchang Pigs in China.

Feifan Wang, Zonglin Zha, Yingzhi He, Jie Li, Ziqi Zhong, Qian Xiao, Zhen Tan

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. 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
3.6field-weighted citation impact, top 7% 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, 15 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Feifan WangSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.ORCID 0009-0003-9599-5687
Zonglin ZhaSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.
Yingzhi HeSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.
Jie LiSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.
Ziqi ZhongSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.
Qian XiaoSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.ORCID 0000-0002-1293-0569
Zhen TanSchool of Animal Science and Technology, Hainan University, Haikou 570228, China.ORCID 0000-0002-3651-1916
Hainan University · CN

Funding

Hainan Province Science and Technology Special Fund ZDYF2020094
6 · The paper itself

Abstract

Tunchang pig is one population of Hainan pig in the Hainan Province of China, with the characteristics of delicious meat, strong adaptability, and high resistance to diseases. To explore the genetic diversity and population structure of Tunchang pigs and uncover their germplasm characteristics, 10 unrelated Tunchang pigs were re-sequenced using the Illumina NovaSeq 150 bp paired-end platform with an average depth of 10×. Sequencing data from 36 individuals of 7 other pig breeds (including 4 local Chinese pig breeds (5 Jinhua, 5 Meishan, 5 Rongchang, and 6 Wuzhishan), and 3 commonly used commercial pig breeds (5 Duorc, 5 Landrace, and 5 Large White)) were downloaded from the NCBI public database. After analysis of genetic diversity and population structure, it has been found that compared to commercial pigs, Tunchang pigs have higher genetic diversity and are genetically close to native Chinese breeds. Three methods, F

Indexed as

candidate genesgenetic diversityre-sequencingselection signalTunchang pigs

Identifiers

PMID37889708
PMCPMC10252034
OpenAlexW4379058618

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.