scholarly journals BUCKy: Gene tree/species tree reconciliation with Bayesian concordance analysis

2010 ◽  
Vol 26 (22) ◽  
pp. 2910-2911 ◽  
Author(s):  
Bret R. Larget ◽  
Satish K. Kotha ◽  
Colin N. Dewey ◽  
Cécile Ané
2016 ◽  
Vol 32 (13) ◽  
pp. 2056-2058 ◽  
Author(s):  
Edwin Jacox ◽  
Cedric Chauve ◽  
Gergely J. Szöllősi ◽  
Yann Ponty ◽  
Celine Scornavacca

2021 ◽  
Author(s):  
Mario A Ceron Romero ◽  
Miguel M Fonseca ◽  
Leonardo de Oliveira Martins ◽  
David Posada ◽  
Laura A Katz

Advances in phylogenetics and high throughput sequencing have allowed the reconstruction of deep phylogenetic relationships in the evolution of eukaryotes. Yet, the root of the eukaryotic tree of life remains elusive. The most popular hypothesis in textbooks and reviews is a root between Unikonta (Opisthokonta + Amoebozoa) and Bikonta (all other eukaryotes), which emerged from analyses of a single gene fusion. Subsequent highly cited studies based on concatenation of genes supported this hypothesis with some variations or proposed a root within Excavata. However, concatenation of genes neither considers phylogenetically informative events (i.e. gene duplications and losses), nor provides an estimate of the root. A more recent study using gene tree / species tree reconciliation methods suggested the root lies between Opisthokonta and all other eukaryotes, but only including 59 taxa and 20 genes. Here we apply a gene tree / species tree reconciliation approach to a gene-rich and taxon rich dataset (i.e. 2,786 gene families from two sets of 158 diverse eukaryotic lineages) to assess the root, and we iterate each analysis 100 times to quantify tree space uncertainty. We estimate a root between Fungi and all other eukaryotes, or between Opisthokonta and all other eukaryotes, and reject alternative roots from the literature. Based on further analysis of genome size we propose Opisthokonta + others as the most likely root.


2020 ◽  
Author(s):  
Dan Li ◽  
Meng Zhang

AbstractHorizontal gene transfers (HGT) were considered as common evolution approaches for organisms. However, most HGT especially those HGT among distant species, like microbes to plants, were over-estimated because they were just identified based on the criteria of Blast searches and gene tree–species tree reconciliation. Recently, a ligE-type glutathione S-transferase (GST), Fhb7-GST was considered as an HGT from Epichloë to Thinopyrum elongatum. To confirm and clarify the occurring patterns of this HGT, homologue searches were conducted. Although TeFhb7-GST was not found in other plants, ligE-GSTs were found in not only plants but also an ameba protozoan. Additionally, ligE-GSTs were likely to horizontally transfer from fungi to other organisms. LigE-GSTs evolve in various fungi, but they only exist in some liverworts and green algae. Interestingly, all these ligE-GST genes in these plants share more than 90% similarities with that from fungus Coniosporium apollinis. More than that, the protozoan homologue from Acanthamoeba castellanii have 94.9% similiarity with that from C. apollinis. Actually, only a few substitutions were found in two homologues except a 111-bp lost in A. castellanii ligE-GST. All these results suggested HGT is an important evolutionary method for all organisms. Notably, natural HGT remind us to reevaluate the transgenic crops.


2019 ◽  
Vol 36 (7) ◽  
pp. 1384-1404 ◽  
Author(s):  
Arthur Zwaenepoel ◽  
Yves Van de Peer

Abstract Gene tree–species tree reconciliation methods have been employed for studying ancient whole-genome duplication (WGD) events across the eukaryotic tree of life. Most approaches have relied on using maximum likelihood trees and the maximum parsimony reconciliation thereof to count duplication events on specific branches of interest in a reference species tree. Such approaches do not account for uncertainty in the gene tree and reconciliation, or do so only heuristically. The effects of these simplifications on the inference of ancient WGDs are unclear. In particular, the effects of variation in gene duplication and loss rates across the species tree have not been considered. Here, we developed a full probabilistic approach for phylogenomic reconciliation-based WGD inference, accounting for both gene tree and reconciliation uncertainty using a method based on the principle of amalgamated likelihood estimation. The model and methods are implemented in a maximum likelihood and Bayesian setting and account for variation of duplication and loss rates across the species tree, using methods inspired by phylogenetic divergence time estimation. We applied our newly developed framework to ancient WGDs in land plants and investigated the effects of duplication and loss rate variation on reconciliation and gene count based assessment of these earlier proposed WGDs.


2020 ◽  
Author(s):  
Michael J. Sanderson ◽  
Michelle M. McMahon ◽  
Mike Steel

AbstractTerraces in phylogenetic tree space are sets of trees with identical optimality scores for a given data set, arising from missing data. These were first described for multilocus phylogenetic data sets in the context of maximum parsimony inference and maximum likelihood inference under certain model assumptions. Here we show how the mathematical properties that lead to terraces extend to gene tree - species tree problems in which the gene trees are incomplete. Inference of species trees from either sets of gene family trees subject to duplication and loss, or allele trees subject to incomplete lineage sorting, can exhibit terraces in their solution space. First, we show conditions that lead to a new kind of terrace, which stems from subtree operations that appear in reconciliation problems for incomplete trees. Then we characterize when terraces of both types can occur when the optimality criterion for tree search is based on duplication, loss or deep coalescence scores. Finally, we examine the impact of assumptions about the causes of losses: whether they are due to imperfect sampling or true evolutionary deletion.


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