生物多样性 ›› 2017, Vol. 25 ›› Issue (2): 156-162.DOI: 10.17520/biods.2015336

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区域生命之树及其在植物区系研究中的应用

彭丹晓1,2, 鲁丽敏1,*(), 陈之端1   

  1. 1 中国科学院植物研究所系统与进化植物学国家重点实验室, 北京 100093
    2 中国科学院大学, 北京 100049;
  • 收稿日期:2015-12-01 接受日期:2016-02-03 出版日期:2017-02-20 发布日期:2017-03-06
  • 通讯作者: 鲁丽敏
  • 基金资助:
    国家自然科学基金(315908223150017931270268)、中国科学院国际合作局对外合作项目(GJHZ201321)、中非研究中心, 中国科学院国际合作和教育发展计划项目(SAJC201315)和科技部基础研究专项(2013FY112100)

Regional tree of life and its application in floristic studies

Danxiao Peng1,2, Limin Lu1,*(), Zhiduan Chen1   

  1. 1 State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093
    2 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2015-12-01 Accepted:2016-02-03 Online:2017-02-20 Published:2017-03-06
  • Contact: Lu Limin

摘要:

区域生命之树是对一个区域内的所有物种进行生命之树重建, 在最近10年已成为生命科学领域的研究热点。生命之树反映了物种间的亲缘关系和进化信息, 可以将生物区系形成与发展过程中的进化和生态因素联系起来, 是揭示区系来源和演化规律的有效手段。本文从3个方面总结了区域生命之树在植物区系研究中的应用: (1) 在时间维度上, 通过生命之树类群分化时间和进化速率估算, 反映区系演化历史, 揭示区系的时间分化格局; (2) 在空间维度上, 结合系统发育信息与物种分布数据, 揭示区系内生物多样性的空间格局, 并在此基础上进行区系分区; (3)整合生物地理信息和气候环境数据, 分析区系中生物类群对古地理事件以及气候变化的响应机制, 以揭示形成现存生物多样性格局的生态、地理和历史因素。此外, 我们阐述了区域生命之树与全球生命之树之间的关系; 指出由于类群取样不全而造成的时间估算偏差是区域生命之树研究中需要注意的问题; 建议对生物多样性热点地区从不同尺度进行大数据的整合分析。

关键词: 区域生命之树, 植物区系, 系统发育多样性, 分化时间估计, 时空格局, 环境因子

Abstract:

The regional tree of life, reconstructing the tree of life to include the regional species pool, has been a research focus in biological science over the past decade. Informed by phylogenetic relationships among coexisting species, a regional tree of life can connect evolutionary and ecological factors during the evolution of a biota and thus has become an efficient tool to trace its temporal and spatial diversification. In this paper, we summarize the application of a regional tree of life in floristic studies in the following three fields: (1) To reveal temporal patterns of a flora by estimating divergence time and evolutionary rates based on the tree of life; (2) To reveal spatial patterns of the biodiversity in a flora and to guide the regionalization of floristic zones by integrating phylogenetic and spatial data; and (3) By integrating biogeographic and environmental data and investigating how taxa respond to paleogeographic events and thus climate change to reveal the underlying ecological, geographical and historic factors of the formation of the floristic biodiversity pattern. In addition, we highlight the relationship between the regional and global tree of life and indicate the potential to identify biased divergence times with incomplete taxa sampling using a regional tree of life. Finally, we suggest that future studies should integrate current mega data at different scales in hotspots to elucidate biodiversity patterns in a worldwide framework.

Key words: regional tree of life, flora, phylogenetic diversity, estimation of divergence time, temporal and spatial pattern, environmental factors