Evidence map›Paper›PMID 40217144›Full record

ArticleBMC genomics2025

Population genomics of sika deer reveals recent speciation and genetic selective signatures during evolution and domestication.

Huamiao Liu, Bo Zhu, Tianjiao Wang, Yimeng Dong, Yan Ju, Yang Li, Weilin Su, Ranran Zhang, Shiwu Dong, Hongliang Wang and 14 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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. Genetic Diversity and Population Structure of Sika Deer (Animals : an open access journal from MDPI · 2025
    Article
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

24 authors.

Huamiao Liu *State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Bo ZhuNovogene Bioinformatics Institute, Beijing, 100083, China.
Tianjiao Wang *State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yimeng Dong *State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yan JuState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yang LiState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Weilin SuState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Ranran ZhangState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Shiwu DongState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Hongliang WangState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yongna ZhouState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Yanmin ZhuState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Lei WangState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Zhengyi ZhangState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Pei ZhaoState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Shuyan ZhangAdministration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou, 310000, China.
Rui GuoAdministration of Zhejiang Qingliangfeng National Nature Reserve, Hangzhou, 310000, China.
E ASichuan Tiebu Sika Deer Nature Reserve, Aba, 624000, China.
Yuwen ZhangAdministrative Office of Liugong Island National Forest Park, Weihai, 264200, China.
Xin LiuNortheast Forestry University, Harbin, 150006, China.
Hidetoshi B TamateFaculty of Science, Yamagata University, Yamagata, 9908560, Japan. tamate@sci.kj.yamagata-u.ac.jp.
Qiqi LiangGlbizzia Bioinformatics Institute, Beijing, 102208, China. qiqi.liang@glbizzia.com.
De MaNovogene Bioinformatics Institute, Beijing, 100083, China. made08@mails.ucas.edu.cn.
Xiumei XingState Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China. xingxiumei@caas.cn.

Funding

Chinese Academy of Agricultural Sciences CAAS-ASTIP-201X-ISAPS
6 · The paper itself

Abstract

backgroundPopulation genomic analysis can reconstruct the phylogenetic relationship and demographic history, and identify genomic selective signatures of a species. To date, fundamental aspects of population genomic analyses, such as intraspecies taxonomy, evolutionary history, and adaptive evolution, of sika deer have not been systematically investigated. Furthermore, accumulating lines of evidences have illustrated that incorrect species delimitation will mislead conservation decisions, and even lead to irreversible mistakes in threatened species.

resultsIn this study, we resequenced 81 wild and 71 domesticated sika deer representing 10 main geographic populations and two farms to clarify the species delimitation, demographic and divergence histories, and adaptive evolution of this species. First, our analyses of whole genomes, Y chromosomes and mitochondrial genomes revealed substantial genetic differentiation between the continental and Japanese lineages of sika deer, representing two phylogenetically distinct species. Second, sika deer in Japan were inferred to have experienced a "divergence-mixing-isolation" evolutionary scenario. Third, we identified four candidate genes (XKR4, NPAS3, CTNNA3, and CNTNAP5) possibly involved in body size regulation of sika deer by selective sweep analysis. Furthermore, we also detected two candidate genes (NRP2 and EDIL3) that may be associated with an important economic trait (antler weight) were under selection during the process of domestication.

conclusionPopulation genomic analyses revealed that the continental and Japanese lineages represent distinct phylogenetic species. Moreover, our results provide insights into the genetic selection signatures related to body size differences and a valuable genomic resource for future genetic studies and genomics-informed breeding of sika deer.

Indexed as

DeerDomesticationEvolution, MolecularGenetic SpeciationGenomicsSelection, GeneticAnimalsGenetics, PopulationPhylogenyCervus nipponDomesticationGenetic selective signaturePopulation genomicsSika deerSpecies delimitation

Identifiers

PMID40217144
PMCPMC11987376

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.