Evidence map›Paper›PMID 42193802›Full record

ArticleAnimals : an open access journal from MDPI2026

Selection Signatures and Genetic Divergence in Hotan Black and F2 Yeonsan Ogye Chickens.

Nursat Turxunjan, Yuxuan Liu, Min Liu, Tianci Liu, Wenqiang Hou, Huie Wang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nursat TurxunjanCollege of Animal Science and Technology, Tarim University, Alar 843300, China.
Yuxuan LiuCollege of Animal Science and Technology, Tarim University, Alar 843300, China.
Min LiuCollege of Animal Science and Technology, Tarim University, Alar 843300, China.
Tianci LiuCollege of Animal Science and Technology, Tarim University, Alar 843300, China.
Wenqiang HouCollege of Animal Science and Technology, Tarim University, Alar 843300, China.
Huie WangCollege of Animal Science and Technology, Tarim University, Alar 843300, China.

Funding

Joint Fund of Tarim University and China Agricultural University ZNLH202501Tarim University Scientific Research and Innovation Project TDGRI202543Xinjiang Uygur Autonomous Region Poultry Industry Technology System XJARS-12-03
6 · The paper itself

Abstract

Local chicken breeds have long been subjected to unique geographical isolation and extreme environmental pressures, which have led to significant environmental adaptation. This provides a valuable opportunity to explore the mechanisms of adaptive evolution in domestic chickens and to develop rare genetic resources. However, the molecular genetic basis of these local breeds remains inadequately studied. In this research, we systematically compared the population genetic structure and selection signals between the Hotan Black Chicken (HT) from Xinjiang and the F2 hybrid population of Yeonsan Ogye × White Leghorn chickens (OLF) based on medium-density SNP chip data. Principal Component Analysis (PCA), Neighbor-Joining (NJ) phylogenetic trees, and ancestry inference methods revealed significant genetic differentiation between the two populations. HT exhibited a relatively homogeneous genetic background, while the F2 population showed a more complex genomic structure. By combining a sliding window approach with population differentiation index (

Indexed as

F2 hybridHotan Black Chickenpopulation genomicspopulation structureselection signalsYeonsan Ogye

Identifiers

PMID42193802
PMCPMC13203631

What OpenQuestion holds

Textmetadata
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.