Evidence map›Paper›PMID 41922987›Full record

ArticleBMC plant biology2026

Genomic insights into endangerment and conservation of Euryodendron excelsum, a critically endangered plant.

Zhen Wang, Xiaoxian Ruan, Hong Lin, Qiang Fan, Ting Wang, Yingjuan Su

Abstract read
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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhen Wang *School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
Xiaoxian Ruan *School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
Hong Lin *School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
Qiang FanSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China. fanqiang@mail.sysu.edu.cn.
Ting WangCollege of Life Sciences, South China Agricultural University, Guangzhou, 510642, China. tingwang@scau.edu.cn.
Yingjuan SuSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China. suyj@mail.sysu.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515010911National Natural Science Foundation of China 31872670 and 32071781Project of Department of Science and Technology of Shenzhen City, Guangdong, China JCYJ20210324141000001, JCYJ20230807110359040, and JCYJ20240813150103005Science and Technology Projects in Guangzhou 202206010107
6 · The paper itself

Abstract

backgroundStrengthening the protection of biodiversity has become a focus of attention in the field of evolutionary biology. Euryodendron excelsum H. T. Chang is a critically endangered plant with small and fragmented populations. However, the effects of gene flow, adaptive genes, environmental factors, and anthropogenic interference, all considered as significant factors affecting the survival and adaptation of endangered plants, on the adaptation of E. excelsum populations have not been fully explored.

resultsIn this study, the population genomic analysis of 70 E. excelsum individuals was conducted using restriction-site associated DNA sequencing approach. High genetic diversity (π = 0.268–0.320), moderate genetic differentiation (FST = 0.065–0.193), clear genetic structure, and accumulation of deleterious mutations were found in E. excelsum populations. Historical bottleneck events, limited gene flow, anthropogenic disturbance, and intrinsic biological characteristics have led to the formation of small and fragmented populations of E. excelsum. Soil composition, temperature, precipitation, leaf area index, and coverage of arbor layer were considered as candidate factors promoting population adaptation. Candidate genes with adaptive signals were found to be involved in functions related to binding, metabolism, stress response, cellular components, and transcriptional regulation. Furthermore, ecological niche modeling predicted that the suitable niche range of E. excelsum occurred contraction during the glacial periods and appeared range expansion in the future.

conclusionsOur research elucidates potential factors contributing to the formation of small and fragmented populations in E. excelsum, identifies candidate SNP loci associated with environmental adaptation, and projects the dynamics of its ecological niche under climate change. Based on these findings, we propose a differentiated conservation strategy, including in situ protection for genetically diverse populations (e.g., HLGW and CD) and ex situ conservation for those with high genetic load (e.g., SM and ZT), while emphasizing that genetic rescue should only follow experimental validation to mitigate outbreeding depression. Additionally, we recommend recognizing the genetically distinct QJ population as an independent conservation unit and exploring predicted suitable but unoccupied regions (e.g., Hainan, Fujian) for assisted translocation. The population genomic analysis of E. excelsum provides effective genetic resources for its conservation efforts.

Indexed as

Conservation of Natural ResourcesEndangered SpeciesGenome, PlantAdaptation, PhysiologicalGene FlowGenetics, PopulationGenetic VariationGenomicsConservation genomicsDemographic historyEcological niche modelingGenotype-environment associationPopulation adaptation

Identifiers

PMID41922987
PMCPMC13169802

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LicenceCC BY-NC-ND
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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 Socratic graph.