Evidence map›Paper›PMID 42633952›Full record

ArticleAnimal genetics2026

Whole-Genome Resequencing Reveals Selection Signatures Associated With Lambskin Patterns in Hu Sheep.

Kebede Habtegiorgis Beshah, Jing Xie, Muhammad Tariq, Abdul Quddus, Daxiang Wang, Bingru Zhao, Dagan Mao

Abstract read
In one paragraph

Article in Animal genetics, 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

7 authors.

Kebede Habtegiorgis BeshahCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0003-3513-4052
Jing XieCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Muhammad TariqCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0001-5539-0454
Abdul QuddusCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Daxiang WangJiangsu Qianbao Animal Husbandry Co. Ltd, Yancheng, Jiangsu, China.
Bingru ZhaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Dagan MaoCollege of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0003-2934-1960

Funding

National Key Research and Development Program of China 2022YFD1300205
6 · The paper itself

Abstract

In China, Hu sheep lambskin quality is largely determined by wool curvature, with wavy-wool lambs producing higher-quality pelts than straight-wool lambs. However, the genetic mechanisms underlying wool curvature formation remain poorly understood. To address this knowledge gap, we conducted whole-genome resequencing and transcriptomic analyses to identify candidate genes associated with wool curvature in Hu sheep. Phenotypic records from 3047 Hu lambs identified significant differences between wavy- and straight-wool groups. Twenty representative animals (10 per group) were selected for whole-genome resequencing. Selective sweep analyses based on the fixation index (FST), absolute log

Indexed as

Selection, GeneticSheep, DomesticWoolAnimalsChinaPhenotypeWhole Genome Sequencingcandidate genesHu sheeplambskin traitsselection signatureswhole‐genome resequencingwool curvature

Identifiers

PMID42633952
PMCPMC13500221

What OpenQuestion holds

Textmetadata
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.