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1. Maximum parsimony reconciliation in the DTLOR model

   https://doi.org/10.1186/s12859-021-04290-6  

   Liu, Jingyi; Mawhorter, Ross; Liu, Nuo; Santichaivekin, Santi; Bush, Eliot; Libeskind-Hadas, Ran (May 2021, BMC Bioinformatics)

   BackgroundAnalyses of microbial evolution often use reconciliation methods. However, the standard duplication-transfer-loss (DTL) model does not account for the fact that species trees are often not fully sampled and thus, from the perspective of reconciliation, a gene family may enter the species tree from the outside. Moreover, within the genome, genes are often rearranged, causing them to move to new syntenic regions. ResultsWe extend the DTL model to account for two events that commonly arise in the evolution of microbes:originof a gene from outside the sampled species tree andrearrangementof gene syntenic regions. We describe an efficient algorithm for maximum parsimony reconciliation in this new DTLOR model and then show how it can be extended to account for non-binary gene trees to handle uncertainty in gene tree topologies. Finally, we describe preliminary experimental results from the integration of our algorithm into the existing xenoGI tool for reconstructing the histories of genomic islands in closely related bacteria. ConclusionsReconciliation in the DTLOR model can offer new insights into the evolution of microbes that is not currently possible under the DTL model. 

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2. Protocols for the Molecular Evolutionary Analysis of Membrane Protein Gene Duplicates

   https://doi.org/10.1007/978-1-4939-8736-8_3  

   Yohe, Laurel R.; Liu, Liang; Davalos, Liliana M.; Liberles, David A. (January 2019, Computational Methods in Protein Evolution)

   Sikosek, Tobias (Ed.)

   Gene duplication is an important process in the evolution of gene content in eukaryotic genomes. Understanding when gene duplicates contribute new molecular functions to genomes through molecular adaptation is one important goal in comparative genomics. In large gene families, however, characterizing adaptation and neofunctionalization across species is challenging, as models have traditionally quantified the timing of duplications without considering underlying gene trees. This protocol combines multiple approaches to detect adaptation in protein duplicates at a phylogenetic scale. We include a description of models for gene tree-species tree reconciliation that enable different types of inference, as well as a practical guide to their use. Although simulation-based approaches successfully detect shifts in the rate of duplica- tion/retention, the conflation between the duplication and retention processes, the distinct trajectories of duplicates under non-, sub-, and neofunctionalization, as well as dosage effects offer hitherto unexplored analytical avenues. We introduce mathematical descriptions of these probabilities and offer a road map to computational implementation whose starting point is parsimony reconciliation. Sequence evolution information based on the ratio of nonsynonymous to synonymous nucleotide substitution rates (dN/dS) can be combined with duplicate survival probabilities to better predict the emergence of new molecular functions in retained duplicates. Together, these methods enable characterization of potentially adaptive candidate duplicates whose neofunctionalization may contribute to phenotypic divergence across species. 

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3. Shared single copy genes are generally reliable for inferring phylogenetic relationships among polyploid taxa

   https://doi.org/10.1016/j.ympev.2024.108087  

   Naranjo, Jaells G; Sither, Charles B; Conant, Gavin C (July 2024, Molecular Phylogenetics and Evolution)

   Polyploidy, or whole-genome duplication, is expected to confound the inference of species trees with phyloge- netic methods for two reasons. First, the presence of retained duplicated genes requires the reconciliation of the inferred gene trees to a proposed species tree. Second, even if the analyses are restricted to shared single copy genes, the occurrence of reciprocal gene loss, where the surviving genes in different species are paralogs from the polyploidy rather than orthologs, will mean that such genes will not have evolved under the corresponding species tree and may not produce gene trees that allow inference of that species tree. Here we analyze three different ancient polyploidy events, using synteny-based inferences of orthology and paralogy to infer gene trees from nearly 17,000 sets of homologous genes. We find that the simple use of single copy genes from polyploid organisms provides reasonably robust phylogenetic signals, despite the presence of reciprocal gene losses. Such gene trees are also most often in accord with the inferred species relationships inferred from maximum likelihood models of gene loss after polyploidy: a completely distinct phylogenetic signal present in these genomes. As seen in other studies, however, we find that methods for inferring phylogenetic confidence yield high support values even in cases where the underlying data suggest meaningful conflict in the phylogenetic signals. 

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4. Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes

   https://doi.org/10.1093/sysbio/syab081  

   Yan, Zhi; Cao, Zhen; Liu, Yushu; Ogilvie, Huw A.; Nakhleh, Luay; Holder, ed., Mark (October 2021, Systematic Biology)

   Abstract Phylogenetic networks provide a powerful framework for modeling and analyzing reticulate evolutionary histories. While polyploidy has been shown to be prevalent not only in plants but also in other groups of eukaryotic species, most work done thus far on phylogenetic network inference assumes diploid hybridization. These inference methods have been applied, with varying degrees of success, to data sets with polyploid species, even though polyploidy violates the mathematical assumptions underlying these methods. Statistical methods were developed recently for handling specific types of polyploids and so were parsimony methods that could handle polyploidy more generally yet while excluding processes such as incomplete lineage sorting. In this article, we introduce a new method for inferring most parsimonious phylogenetic networks on data that include polyploid species. Taking gene tree topologies as input, the method seeks a phylogenetic network that minimizes deep coalescences while accounting for polyploidy. We demonstrate the performance of the method on both simulated and biological data. The inference method as well as a method for evaluating evolutionary hypotheses in the form of phylogenetic networks are implemented and publicly available in the PhyloNet software package. [Incomplete lineage sorting; minimizing deep coalescences; multilabeled trees; multispecies network coalescent; phylogenetic networks; polyploidy.] 

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5. Systematics and biogeography of the Old World fern genus Antrophyum

   https://doi.org/10.1111/cla.12538  

   Chen, Cheng‐Wei; Lindsay, Stuart; Nitta, Joel; Rouhan, Germinal; Sundue, Michael; Perrie, Leon R.; Huang, Yao‐Moan; Chiou, Wen‐Liang; Chung, Kuo‐Fang (August 2023, Cladistics)

   Abstract Antrophyum is one of the largest genera of vittarioid ferns (Pteridaceae) and is most diverse in tropical Asia and the Pacific Islands, but also occurs in temperate Asia, Australia, tropical Africa and the Malagasy region. The only monographic study of Antrophyum was published more than a century ago and a modern assessment of its diversity is lacking. Here, we reconstructed a comprehensively sampled and robustly supported phylogeny for the genus based on four chloroplast markers using Bayesian inference, maximum likelihood and maximum parsimony analyses. We then explored the evolution of the genus from the perspectives of morphology, systematics and historical biogeography. We investigated nine critical morphological characters using a morphometric approach and reconstructed their evolution on the phylogeny. We describe four new species and provide new insight into species delimitation. We currently recognize 34 species for the genus and provide a key to identify them. The results of biogeographical analysis suggest that the distribution of extant species is largely shaped by both ancient and recent dispersal events. 

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