Evidence map›Paper›PMID 39308831›Full record

ArticlePeerJ2024

Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip.

Ruizhi Yang, Zhipeng Han, Wen Zhou, Xuejiao Li, Xuechen Zhang, Lijun Zhu, Jieru Wang, Xiaopeng Li, Cheng-Long Zhang, Yahui Han and 2 more

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

12 authors.

Ruizhi YangCollege of Life Science and Technology, Tarim University, Alar, Xinjiang, China.
Zhipeng HanCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Wen ZhouCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Xuejiao LiCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Xuechen ZhangCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Lijun ZhuCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Jieru WangCollege of Life Science and Technology, Tarim University, Alar, Xinjiang, China.
Xiaopeng LiCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Cheng-Long ZhangCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Yahui HanCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.
Lianrui LiCollege of Life Science and Technology, Tarim University, Alar, Xinjiang, China.
Shudong LiuCollege of Animal Science and Technology, Tarim University, Alar, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: By assessing the genetic diversity and associated selective traits of Kirghiz sheep (KIR), we aim to uncover the mechanisms that contribute to sheep's adaptability to the Pamir Plateau environment. Methods: This study utilized Illumina Ovine SNP50 BeadChip data from KIR residing in the Pamir Plateau, Qira Black sheep (QBS) inhabiting the Taklamakan Desert, and commonly introduced breeds including Dorper sheep (DOR), Suffolk sheep (SUF), and Hu sheep (HU). The data was analyzed using principal component analysis, phylogenetic analysis, population admixture analysis, kinship matrix analysis, linkage disequilibrium analysis, and selective signature analysis. We employed four methods for selective signature analysis: fixation index (Fst), cross-population extended homozygosity (XP-EHH), integrated haplotype score (iHS), and nucleotide diversity (Pi). These methods aim to uncover the genetic mechanisms underlying the germplasm resources of Kirghiz sheep, enhance their production traits, and explore their adaptation to challenging environmental conditions. Results: The test results unveiled potential selective signals associated with adaptive traits and growth characteristics in sheep under harsh environmental conditions, and annotated the corresponding genes accordingly. These genes encompass various functionalities such as adaptations associated with plateau, cold, and arid environment (ETAA1, UBE3D, TLE4, NXPH1, MAT2B, PPARGC1A, VEGFA, TBX15 and PLXNA4), wool traits (LMO3, TRPS1, EPHA5), body size traits (PLXNA2, EFNA5), reproductive traits (PPP3CA, PDHA2, NTRK2), and immunity (GATA3). Conclusion: Our study identified candidate genes associated with the production traits and adaptation to the harsh environment of the Pamir Plateau in Kirghiz sheep. These findings provide valuable resources for local sheep breeding programs. The objective of this study is to offer valuable insights for the sustainable development of the Kirghiz sheep industry.

Indexed as

Polymorphism, Single NucleotideAnimalsGenetic VariationLinkage DisequilibriumPhylogenySheepSheep, DomesticKirghiz sheepPopulation structureSelection signaturesSNPs

Identifiers

PMID39308831
PMCPMC11416764

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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.