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1. Congruence and Conflict in the Higher-Level Phylogenetics of Squamate Reptiles: An Expanded Phylogenomic Perspective

   https://doi.org/10.1093/sysbio/syaa054  

   Singhal, Sonal; Colston, Timothy J; Grundler, Maggie R; Smith, Stephen A; Costa, Gabriel C; Colli, Guarino R; Moritz, Craig; Pyron, R Alexander; Rabosky, Daniel L (August 2020, Systematic Biology)

   Ruane, Sara (Ed.)

   Abstract Genome-scale data have the potential to clarify phylogenetic relationships across the tree of life but have also revealed extensive gene tree conflict. This seeming paradox, whereby larger data sets both increase statistical confidence and uncover significant discordance, suggests that understanding sources of conflict is important for accurate reconstruction of evolutionary history. We explore this paradox in squamate reptiles, the vertebrate clade comprising lizards, snakes, and amphisbaenians. We collected an average of 5103 loci for 91 species of squamates that span higher-level diversity within the clade, which we augmented with publicly available sequences for an additional 17 taxa. Using a locus-by-locus approach, we evaluated support for alternative topologies at 17 contentious nodes in the phylogeny. We identified shared properties of conflicting loci, finding that rate and compositional heterogeneity drives discordance between gene trees and species tree and that conflicting loci rarely overlap across contentious nodes. Finally, by comparing our tests of nodal conflict to previous phylogenomic studies, we confidently resolve 9 of the 17 problematic nodes. We suggest this locus-by-locus and node-by-node approach can build consensus on which topological resolutions remain uncertain in phylogenomic studies of other contentious groups. [Anchored hybrid enrichment (AHE); gene tree conflict; molecular evolution; phylogenomic concordance; target capture; ultraconserved elements (UCE).] 

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2. Phylogenomic analysis of the parrots of the world distinguishes artifactual from biological sources of gene tree discordance

   https://doi.org/10.1093/sysbio/syac055  

   Smith, B.T.; Merwin, J.; Provost, K.L.; Thom, G.; Brumfield, R.T.; Ferreira, M.; Mauck III, W.M.; Moyle, R.G.; Wright, T.; Joseph, L. (August 2022, Systematic biology)

   Gene tree discordance is expected in phylogenomic trees and biological processes are often invoked to explain it. However, heterogeneous levels of phylogenetic signal among individuals within datasets may cause artifactual sources of topological discordance. We examined how the information content in tips and subclades impacts topological discordance in the parrots (Order: Psittaciformes), a diverse and highly threatened clade of nearly 400 species. Using ultraconserved elements from 96% of the clade's species-level diversity, we estimated concatenated and species trees for 382 ingroup taxa. We found that discordance among tree topologies was most common at nodes dating between the late Miocene and Pliocene, and often at the taxonomic level of genus. Accordingly, we used two metrics to characterize information content in tips and assess the degree to which conflict between trees was being driven by lower quality samples. Most instances of topological conflict and non-monophyletic genera in the species tree could be objectively identified using these metrics. For subclades still discordant after tip-based filtering, we used a machine learning approach to determine whether phylogenetic signal or noise was the more important predictor of metrics supporting the alternative topologies. We found that when signal favored one of the topologies, noise was the most important variable in poorly performing models that favored the alternative topology. In sum, we show that artifactual sources of gene tree discordance, which are likely a common phenomenon in many datasets, can be distinguished from biological sources by quantifying the information content in each tip and modeling which factors support each topology. 

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3. BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

   https://doi.org/10.1111/geb.70003  

   Dornelas, Maria; Antão, Laura H; Bates, Amanda E; Brambilla, Viviana; Chase, Jonathan M; Chow, Cher_F Y; Fontrodona‐Eslava, Ada; Magurran, Anne E; Martins, Inês S; Moyes, Faye; et al (May 2025, Global Ecology and Biogeography)

   ABSTRACT MotivationHere, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables IncludedThe database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and GrainSampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and GrainThe earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample‐level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of MeasurementThe database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Formatcsv and. SQL. 

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4. Target-capture phylogenomics provide insights on gene and species tree discordances in Old World treefrogs (Anura: Rhacophoridae)

   https://doi.org/10.1098/rspb.2020.2102  

   Chan, Kin Onn; Hutter, Carl R.; Wood, Perry L.; Grismer, L. Lee; Brown, Rafe M. (December 2020, Proceedings of the Royal Society B: Biological Sciences)

   null (Ed.)

   Genome-scale data have greatly facilitated the resolution of recalcitrant nodes that Sanger-based datasets have been unable to resolve. However, phylogenomic studies continue to use traditional methods such as bootstrapping to estimate branch support; and high bootstrap values are still interpreted as providing strong support for the correct topology. Furthermore, relatively little attention has been given to assessing discordances between gene and species trees, and the underlying processes that produce phylogenetic conflict. We generated novel genomic datasets to characterize and determine the causes of discordance in Old World treefrogs (Family: Rhacophoridae)—a group that is fraught with conflicting and poorly supported topologies among major clades. Additionally, a suite of data filtering strategies and analytical methods were applied to assess their impact on phylogenetic inference. We showed that incomplete lineage sorting was detected at all nodes that exhibited high levels of discordance. Those nodes were also associated with extremely short internal branches. We also clearly demonstrate that bootstrap values do not reflect uncertainty or confidence for the correct topology and, hence, should not be used as a measure of branch support in phylogenomic datasets. Overall, we showed that phylogenetic discordances in Old World treefrogs resulted from incomplete lineage sorting and that species tree inference can be improved using a multi-faceted, total-evidence approach, which uses the most amount of data and considers results from different analytical methods and datasets. 

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5. IQ-TREE 3: Phylogenomic Inference Software using Complex Evolutionary Models

   https://doi.org/10.32942/X2P62N  

   Wong, Thomas; Ly-Trong, Nhan; Ren, Huaiyan; Baños, Hector; Roger, Andrew; Susko, Edward; Bielow, Chris; De_Maio, Nicola; Goldman, Nick; Hahn, Matthew; et al (April 2025, ecoevorxiv)

   IQ-TREE (http://www.iqtree.org) is a widely used open-source software tool for efficiently inferring phylogenetic trees under maximum likelihood. Here, we present IQ-TREE version 3, the third major release of the software. IQ-TREE 3 significantly extends version 2 with new features, including mixture models as an alternative to partitioned models, gene and site concordance factors to quantify discordance between genomic regions, and a fully-featured sequence simulator. The IQ-TREE 3 source code is available at https://github.com/iqtree/iqtree3. 

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