
生物多样性 ›› 2026, Vol. 34 ›› Issue (2): 25321. DOI: 10.17520/biods.2025321 cstr: 32101.14.biods.2025321
曾文敏1, 杨霞1, 邹成玉1, 李彦欣1, 王贤楠1, 魏依婷1, 徐艳琴1,*(
)(
), 周银2,*(
)(
)
收稿日期:2025-08-12
接受日期:2026-01-28
出版日期:2026-02-20
发布日期:2026-03-23
通讯作者:
共同通讯作者. E-mail: 基金资助:
Wenmin Zeng1, Xia Yang1, Chengyu Zou1, Yanxin Li1, Xiannan Wang1, Yiting Wei1, Yanqin Xu1,*(
)(
), Yin Zhou2,*(
)(
)
Received:2025-08-12
Accepted:2026-01-28
Online:2026-02-20
Published:2026-03-23
Contact:
Co-authors for correspondence. E-mail: Supported by:摘要:
植物复合群(plant species complex)是分类学研究的关键挑战, 由形态高度相似但遗传上存在分化的近缘种、隐存种及多倍体种组成, 其分类困境将影响生物多样性评估与资源管理。本文通过系统梳理植物复合群的形成机制, 整理其形态分类研究进展, 阐明形态保守和遗传分化的冲突关系, 指出整合分类框架以摆脱分类困境, 并展望未来的研究方法与趋势, 以期为植物复合群的形成机制认知及隐存种界定、理解种间差异和进化关系奠定基础。研究发现, 植物复合群的形成受自然选择、基因流、多倍化及表观遗传调控协同驱动。形态证据在植物复合群分类中发挥着重要作用, 且在其辐射演化迅速和自然选择压力强劲时更具优势, 但易受表型可塑性、基因组杂交渗入及生态位保守性等因素影响。分子证据可弥补形态局限性, 但单一维度难以解析演化复杂性。分类问题的解决仍需以形态研究为重要基础, 当前植物复合群分类以形态、分子与生态多维互验的整合分类法为重要手段。为解决植物复合群分类困境, 多源数据整合是主要趋势。未来应构建“形态-分子-生态”三元校验体系, 通过智能形态技术量化表型变异、基因组系统发育分析揭示遗传分化、生态位模型验证环境适应性, 并结合地理区系背景构建动态分类系统。植物复合群的分类突破将深化对物种形成机制的认知, 为精准的生物多样性保护与资源可持续利用提供理论支撑。
曾文敏, 杨霞, 邹成玉, 李彦欣, 王贤楠, 魏依婷, 徐艳琴, 周银 (2026) 植物复合群的形成机制与分类学研究进展. 生物多样性, 34, 25321. DOI: 10.17520/biods.2025321.
Wenmin Zeng, Xia Yang, Chengyu Zou, Yanxin Li, Xiannan Wang, Yiting Wei, Yanqin Xu, Yin Zhou (2026) Advances in formation mechanisms and taxonomy of plant species complex. Biodiversity Science, 34, 25321. DOI: 10.17520/biods.2025321.
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