标题古巴木兰科木兰花的进化历史

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Ernesto Testé, Majela Hernández-Rodríguez, Salvador Guzmán Díaz, Alejandro Palmarola, Emily Veltjen, Eldis R Bécquer, Fabián A Aldaba-Nuñez, Marie-Stephanie Samain, Luis R González Torres, Thierry Robert
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引用次数: 1

摘要

进化生物学家认识到,如果不考虑种群遗传历史,了解近亲物种的系统发育历史是具有挑战性的。在古巴,白玉兰科的分类一直争论不休,在分类单元划分上发生了几次变化。所有这些分类修正都是完全基于少数个体的叶片形态特征,限制了它们阐明分类群边界的能力。最近的研究主要集中在古巴木兰的保护遗传学和物种划界,基于生态、形态和遗传数据。本研究利用全质体组序列和微卫星数据,推断了古巴木兰科Talauma种间的系统发育关系和潜在的历史迁移事件。利用贝叶斯系统发育和TreeMix来了解系统发育关系。以此为基础,古巴的Talauma白玉兰节不包括一个单系群。这些数据继续显示木兰亚组分类群中高度支持的未解决的物种复合体。来自古巴东北部的塔拉马。从分类学的角度来看,我们的结果并不完全支持最近提出的对古巴家庭的分类学审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary history of Magnolia sect. Talauma (Magnoliaceae) in Cuba
Abstract Evolutionary biologists recognize that understanding the phylogenetic history of closely related species is challenging without considering their population genetics history. The taxonomy of Magnolia sect. Talauma in Cuba has long been debated, with several changes in taxon delimitations. All these taxonomic revisions were based exclusively on leaf morphological characteristics of a few individuals, limiting their ability to elucidate taxon boundaries. Recent studies have focused on conservation genetics and species delimitation of Cuban magnolias, based on ecological, morphological and genetic data. Here, we use full plastome sequences and microsatellite data to infer phylogenetic relationships and potential historical migration events among species in Magnolia sect. Talauma in Cuba. Bayesian phylogeny and TreeMix were used to understand the phylogenetic relationships. Based on this, Magnolia sect. Talauma in Cuba does not comprise a monophyletic group. The data continue to show a highly supported unresolved species complex in the taxa of Magnolia subsect. Talauma from north-eastern Cuba. From a taxonomic point of view, our results do not entirely support the most recent taxonomic review proposed for the family in Cuba.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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