Bayesian estimation of the global biogeographical history of the Solanaceae
Bayesian estimation of the global biogeographical history of the Solanaceae
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DOI：
10.1111/jbi.12898
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发表时间：
2017-04-01
影响因子：
3.9
通讯作者：
Smith, Stacey D.
中科院分区：
文献类型：
--
作者：
Dupin, Julia;Matzke, Nicholas J.;Smith, Stacey D.
目的番茄科分布于除南极洲以外的各大洲，其多样性中心在南美洲。它在世界范围内的分布表明在新旧世界内部和之间有多次长距离的分散。本文采用最大似然（ML）方法和新发展的生物地理随机制图（BSM）来推断该家族的祖先范围，并估计导致其今天分布的分散和变异事件的频率。全球位置。方法以最近推断的茄科巨葡萄发生为基础，利用biogeobars程序对一系列生物地理模型进行ML模型拟合。我们利用最佳拟合模型的参数估计祖先范围概率，并进行随机映射，从中估计生物地理事件的数量和类型。结果我们的最佳模型支持南美洲是茄科及其主要分支的祖先区。BSM分析表明，扩散事件，特别是范围扩张，是该家族成员传播到南美洲以外的主要模式。对茄科植物来说，南美洲不仅是其目前的多样性中心，而且是其祖先的范围，而扩散是范围进化的主要驱动力。最常见的扩散模式是从南美洲向北美洲和中美洲的范围扩张，而相反方向的扩散则不太常见。这种方向性可能是由于南美洲物种丰富度的早期积累，导致大量潜在的移民。这些结果表明，BSM不仅可以用于估算祖先范围，还可以在统计严格的框架内推断生物地理事件的频率、方向和时间。
Aim The tomato family Solanaceae is distributed on all major continents except Antarctica and has its centre of diversity in South America. Its worldwide distribution suggests multiple long-distance dispersals within and between the New and Old Worlds. Here, we apply maximum likelihood (ML) methods and newly developed biogeographical stochastic mapping (BSM) to infer the ancestral range of the family and to estimate the frequency of dispersal and vicariance events resulting in its present-day distribution.Location Worldwide.Methods Building on a recently inferred megaphylogeny of Solanaceae, we conducted ML model fitting of a range of biogeographical models with the program BioGeoBEARS'. We used the parameters from the best fitting model to estimate ancestral range probabilities and conduct stochastic mapping, from which we estimated the number and type of biogeographical events.Results Our best model supported South America as the ancestral area for the Solanaceae and its major clades. The BSM analyses showed that dispersal events, particularly range expansions, are the principal mode by which members of the family have spread beyond South America.Main conclusions For Solanaceae, South America is not only the family's current centre of diversity but also its ancestral range, and dispersal was the principal driver of range evolution. The most common dispersal patterns involved range expansions from South America into North and Central America, while dispersal in the reverse direction was less common. This directionality may be due to the early build-up of species richness in South America, resulting in large pool of potential migrants. These results demonstrate the utility of BSM not only for estimating ancestral ranges but also in inferring the frequency, direction and timing of biogeographical events in a statistically rigorous framework.