Evidence map›Paper›PMID 29668959›Full record

ArticleGigaScience2018

Whole-genome sequences of 89 Chinese sheep suggest role of RXFP2 in the development of unique horn phenotype as response to semi-feralization.

Zhangyuan Pan, Shengdi Li, Qiuyue Liu, Zhen Wang, Zhengkui Zhou, Ran Di, Benpeng Miao, Wenping Hu, Xiangyu Wang, Xiaoxiang Hu and 23 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 155 citations in OpenAlex.

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  15. Identification ofInternational journal of molecular sciences · 2024
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  18. Genomic structural variation contributes to evolved changes in gene expression in high-altitude Tibetan sheep.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

33 authors at 9 institutions in 1 country.

Zhangyuan PanInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Shengdi LiKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Qiuyue LiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhen WangKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Zhengkui ZhouInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ran DiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Benpeng MiaoKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Wenping HuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiangyu WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaoxiang HuState Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, China.
Ze XuBasePair BioTechonology Co., Ltd., Suzhou, China.
Dongkai WeiBasePair BioTechonology Co., Ltd., Suzhou, China.
Xiaoyun HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Liyun YuanKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Xiaofei GuoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Benmeng LiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ruichao WangKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Xiaoyu LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaohan CaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xinlong DongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Qing XiaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Hongcai ShiInstitute of Biotechnology, Xinjiang Academy of Animal Science, Urumqi, China.
Geng HaoInstitute of Animal Science, Xinjiang Academy of Animal Science, Urumqi, China.
Jean YangResearch Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China.
Cuicheng LuosangResearch Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China.
Yiqiang ZhaoState Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, China.
Mei JinCollege of Life Science, Liaoning Normal University, Dalian, China.
Yingjie ZhangCollege of Animal Science and Technology, Agricultural University of Hebei, Baoding, China.
Shenjin LvCollege of Agriculture and Forestry Science, Linyi University, Linyi, China.
Fukuan LiCollege of Agriculture and Forestry Science, Linyi University, Linyi, China.
Guohui DingKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Mingxing ChuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yixue LiKey Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Chinese Academy of Agricultural Sciences · CNShanghai Institutes for Biological Sciences · CNChinese Academy of Sciences · CNLinyi University · CNChina Agricultural University · CNTibet Academy of Agricultural and Animal Husbandry Sciences · CNXinjiang Academy of Animal Science · CNHebei Agricultural University · CNLiaoning Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Animal domestication has been extensively studied, but the process of feralization remains poorly understood. Results: Here, we performed whole-genome sequencing of 99 sheep and identified a primary genetic divergence between 2 heterogeneous populations in the Tibetan Plateau, including 1 semi-feral lineage. Selective sweep and candidate gene analysis revealed local adaptations of these sheep associated with sensory perception, muscle strength, eating habit, mating process, and aggressive behavior. In particular, a horn-related gene, RXFP2, showed signs of rapid evolution specifically in the semi-feral breeds. A unique haplotype and repressed horn-related tissue expression of RXFP2 were correlated with higher horn length, as well as spiral and horizontally extended horn shape. Conclusions: Semi-feralization has an extensive impact on diverse phenotypic traits of sheep. By acquiring features like those of their wild ancestors, semi-feral sheep were able to regain fitness while in frequent contact with wild surroundings and rare human interventions. This study provides a new insight into the evolution of domestic animals when human interventions are no longer dominant.

Indexed as

AnimalsChinaGenotypeHornsPhenotypePolymorphism, Single NucleotideReceptors, G-Protein-CoupledSheepSpecies SpecificityWhole Genome SequencingReceptors, G-Protein-Coupled

Identifiers

PMID29668959
PMCPMC5905515
OpenAlexW2790126494

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.