Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Mol Phylogenet Evol. 2019 Mar;132:219-231. doi: 10.1016/j.ympev.2018.12.011. Epub 2018 Dec 12.
To consistently and objectively delineate species-level divergence from population subdivision has been a challenge in systematics. This is particularly evident in naturally fragmented and allopatric systems in which small population size often leads to extreme population structuring. Here we evaluated the robustness of the species delimitation methods implemented in BEAST, BPP, and iBPP in the Primulina hochiensis complex comprising four described and one candidate species (five taxa in total) distributed in karst landscapes of southern China. We analyzed levels of molecular and morphological divergence among species using multilocus sequence data (nine chloroplast loci and 10 nuclear loci), and morphological data (16 quantitative and 12 qualitative traits), for 124 individuals from 25 populations of the complex. Independent analyses of cpDNA and nDNA sequence data revealed high levels of genetic differentiation among the five taxa. Both BPP and iBPP delimited five candidate species, which correspond to the five genetic clusters recovered with population structure analysis. In contrast, morphological differences among populations were more limited, so that results from principal component analysis (PCA) recovered only three distinct clusters. We ruled out the possibility of morphologically cryptic species because reciprocally monophyletic groups were not supported among the morphologically un-differentiated taxa. Our results represent a case where extreme population genetic structuring leads to oversplit of species diversity by molecular data using the multispecies coalescent (MSC) methods. The observed congruence across multiple analyses corroborates the recognition of a new species P. lianpingensis and indicates its sister species relationship with P. yingdeensis. This study highlights the dangers of violating model assumption and the importance of incorporating multiple evidence into species delimitation of a particular system.
一直以来,如何准确且客观地区分物种水平的遗传分化与种群内部分化是系统分类学的挑战。这在自然隔离且种群小的系统中尤为明显,因为小种群通常会导致极端的种群结构。本研究中,我们评估了 BEAST、BPP 和 iBPP 中物种界定方法在包含四个已描述种和一个候选种(共计五个分类群)的兜兰属华西兜兰复合群中的稳健性,这些种分布在中国南方喀斯特地貌地区。我们利用来自 25 个居群的 124 个个体的多基因座序列数据(9 个叶绿体基因座和 10 个核基因座)和形态数据(16 个定量和 12 个定性特征)分析了种间的分子和形态分化水平。叶绿体和核 DNA 序列数据的独立分析揭示了五个分类群之间存在高水平的遗传分化。BPP 和 iBPP 都将五个候选种界定为五个遗传聚类,与种群结构分析中恢复的五个遗传聚类相对应。相比之下,居群间的形态差异较为有限,因此主成分分析(PCA)的结果仅恢复了三个明显的聚类。由于在形态上未分化的分类群之间没有支持相互单系的群,我们排除了形态上隐存种的可能性。我们的结果代表了一种极端的种群遗传结构导致使用多物种合并(MSC)方法的分子数据过度划分物种多样性的情况。多个分析结果的一致性证实了识别新种华西兜兰和表明其与英德兜兰的姐妹种关系的正确性。本研究强调了违反模型假设的危险,以及将多种证据纳入特定系统物种界定的重要性。