scholarly journals Efficient Bayesian inference of general Gaussian models on large phylogenetic trees

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Paul Bastide ◽  
Lam Si Tung Ho ◽  
Guy Baele ◽  
Philippe Lemey ◽  
Marc A. Suchard
2020 ◽  
Author(s):  
Yuji Matsuo ◽  
Akinao Nose ◽  
Hiroshi Kohsaka

AbstractSpeed and trajectory of locomotion are characteristic traits of individual species. During evolution, locomotion kinematics is likely to have been tuned for survival in the habitats of each species. Although kinematics of locomotion is thought to be influenced by habitats, the quantitative relation between the kinematics and environmental factors has not been fully revealed. Here, we performed comparative analyses of larval locomotion in 11 Drosophila species. We found that larval locomotion kinematics are divergent among the species. The diversity is not correlated to the body length but is correlated instead to the minimum habitat temperature of the species. Phylogenetic analyses using Bayesian inference suggest that the evolutionary rate of the kinematics is diverse among phylogenetic trees. The results of this study imply that the kinematics of larval locomotion has diverged in the evolutionary history of the genus Drosophila and evolved under the effects of the minimum ambient temperature of habitats.


2020 ◽  
Author(s):  
Birgir Hrafnkelsson ◽  
Stefan Siegert ◽  
Raphaël Huser ◽  
Haakon Bakka ◽  
Árni V. Jóhannesson

Author(s):  
Klaus Schliep ◽  
Alastair Alastair Potts ◽  
David A Morrison ◽  
Guido W Grimm

The fields of phylogenetic tree and network inference have dramatically advanced in the last decade, but independently with few attempts to bridge them. Here we provide a framework, implemented in the phangorn library in R, to transfer information between trees and networks. This includes: 1) identifying and labelling equivalent tree branches and network edges, 2) transferring branch support to network edges, and 3) mapping bipartition support from a sample of trees (e.g. from bootstrapping or Bayesian inference) onto network edges. The ability to readily combine tree and network information should lead to more comprehensive evolutionary comparisons and conclusions.


2016 ◽  
Author(s):  
Klaus Schliep ◽  
Alastair Alastair Potts ◽  
David A Morrison ◽  
Guido W Grimm

The fields of phylogenetic tree and network inference have dramatically advanced in the last decade, but independently with few attempts to bridge them. Here we provide a framework, implemented in the phangorn library in R, to transfer information between trees and networks. This includes: 1) identifying and labelling equivalent tree branches and network edges, 2) transferring branch support to network edges, and 3) mapping bipartition support from a sample of trees (e.g. from bootstrapping or Bayesian inference) onto network edges. The ability to readily combine tree and network information should lead to more comprehensive evolutionary comparisons and conclusions.


2001 ◽  
Vol 17 (8) ◽  
pp. 754-755 ◽  
Author(s):  
J. P. Huelsenbeck ◽  
F. Ronquist

2021 ◽  
Vol 35 (7) ◽  
pp. 725
Author(s):  
Xiang Zeng ◽  
Haiyang Xu ◽  
Jingxiao Gu ◽  
Benyong Mao ◽  
Zhilin Chen ◽  
...  

Many taxa in the Acrididae have controversial phylogenetic positions. A typical example of such controversies is the phylogenetic positions of the genera Caryandoides, Paratoacris, Fer and Longchuanacris, as well as some other related taxa, which were placed in Oxyinae by some authors, but were considered members of the subfamily Catantopinae by others. In this study, the complete mitogenomes of nine species were sequenced using next-generation sequencing, the characteristics of the newly sequenced mitogenomes are presented briefly, and the phylogeny of the Oxyinae and Catantopinae are reconstructed using a selected dataset of mitogenome sequences under maximum likelihood and Bayesian inference frameworks. The results show that the four controversial genera were consistently assigned to the subfamily Oxyinae rather than Catantopinae in all phylogenetic trees deduced from different datasets under different frameworks, and this finding is entirely consistent with their morphological characters. Therefore, it is more appropriate to place them in Oxyinae rather than Catantopinae. In addition, the results from our analysis also confirm the membership of the genus Apalacris in Coptacrinae rather than Catantopinae, and indicate the uncertainty in the phylogenetic position of the genus Traulia, and a more in-depth study is necessary to resolve the relationship of Traulia with other catantopine groups or Coptacrinae.


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