Testing the impact of morphological rate heterogeneity on ancestral state reconstruction of five floral traits in angiosperms.
Testing the impact of morphological rate heterogeneity on ancestral state reconstruction of five floral traits in angiosperms.
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DOI：
10.1038/s41598-018-27750-1
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发表时间：
2018-06-21
影响因子：
4.6
通讯作者：
Sauquet H
中科院分区：
文献类型：
--
作者：
Reyes E;Nadot S;von Balthazar M;Schönenberger J;Sauquet H
祖先状态重建是研究形态进化的重要工具，通常涉及到估计字符状态之间的转移率。然而，各种因素，包括分类规模和抽样密度，可能会影响转换率估计，并间接地影响给定节点的状态概率。在这里，我们使用最大似然法对被子植物的五个二元花被性状进行了速率异质性的影响测试，优化了被子植物的系统发育树，包括来自所有科的1230种样本。我们比较由相等速率(Mk1)和双速率模型(Mk2)重建的状态，该模型或者适合于整个树的单组速率，或者作为分区模型，允许在树的五个分区上有不同的速率。我们发现五个亚类对所有五个性状的比率异质性都有很强的信号，但模型的选择对重建的祖先状态的总体影响很小，这表明无论是否考虑异质性，我们推测的祖先状态大多是相同的。
Ancestral state reconstruction is an important tool to study morphological evolution and often involves estimating transition rates among character states. However, various factors, including taxonomic scale and sampling density, may impact transition rate estimation and indirectly also the probability of the state at a given node. Here, we test the influence of rate heterogeneity using maximum likelihood methods on five binary perianth characters, optimized on a phylogenetic tree of angiosperms including 1230 species sampled from all families. We compare the states reconstructed by an equal-rate (Mk1) and a two-rate model (Mk2) fitted either with a single set of rates for the whole tree or as a partitioned model, allowing for different rates on five partitions of the tree. We find strong signal for rate heterogeneity among the five subdivisions for all five characters, but little overall impact of the choice of model on reconstructed ancestral states, which indicates that most of our inferred ancestral states are the same whether heterogeneity is accounted for or not.
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影响因子：
3.3
作者：
Collar, DC;Near, TJ;Wainwright, PC
通讯作者：
Wainwright, PC
DOI：
10.1111/nph.12969
发表时间：
2014-12
期刊：
The New phytologist
影响因子：
--
作者：
Chartier M;Jabbour F;Gerber S;Mitteroecker P;Sauquet H;von Balthazar M;Staedler Y;Crane PR;Schönenberger J
通讯作者：
Schönenberger J
影响因子：
6.5
作者：
Beaulieu, Jeremy M.;O'Meara, Brian C.;Donoghue, Michael J.
通讯作者：
Donoghue, Michael J.
影响因子：
4.1
作者：
Couvreur, T. L. P.;Richardson, J. E.;Chatrou, L. W.
通讯作者：
Chatrou, L. W.
影响因子：
10.7
作者：
Galtier, N;Gouy, M
通讯作者：
Gouy, M