ArticleCommunications biology2022
Quantitatively defining species boundaries with more efficiency and more biological realism.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Genomic Insights Into Species Delimitation and the Evolutionary History of MimeticEcology and evolution · 2025Article
- Genomic evidence of divergence-with-gene-flow in the pink shrimp Farfantepenaeus brasiliensis.Heredity · 2025Article
- From chaos to tranquillity: a modern approach to the identification, nomenclature and phylogeny ofStudies in mycology · 2025Article
- Genomic Data Reveals Cryptic Diversity in the Soda Lake CichlidEcology and evolution · 2025Article
- The sandfish identity: phylogeographic reconstructions uncover a species complex within the Indo-Pacific distribution of Holothuria (Metriatyla) scabra.BMC ecology and evolution · 2025Article
- Phylogenomics Reveals Deep Divergences and Cryptic Species Within a Rare Sand-Dwelling Milkweed,Ecology and evolution · 2025Article
- Evolution is coupled with branching across many granularities of life.Proceedings. Biological sciences · 2025Article
- Revision of the genusZooKeys · 2025Article
- Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space.BMC bioinformatics · 2024Article
- Species delimitation, discovery and conservation in a tiger beetle species complex despite discordant genetic data.Scientific reports · 2024Article
- First report ofJournal of nematology · 2024Article
- Species delimitation, biogeography, and natural history of dwarf funnel web spiders (Mygalomorphae, Hexurellidae,ZooKeys · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce a widely applicable species delimitation method based on the multispecies coalescent model that is more efficient and more biologically realistic than existing methods. We extend a threshold-based method to allow the ancestral speciation rate to vary through time as a smooth piecewise function. Furthermore, we introduce the cutting-edge proposal kernels of StarBeast3 to this model, thus enabling rapid species delimitation on large molecular datasets and allowing the use of relaxed molecular clock models. We validate these methods with genomic sequence data and SNP data, and show they are more efficient than existing methods at achieving parameter convergence during Bayesian MCMC. Lastly, we apply these methods to two datasets (Hemidactylus and Galagidae) and find inconsistencies with the published literature. Our methods are powerful for rapid quantitative testing of species boundaries in large multilocus datasets and are implemented as an open source BEAST 2 package called SPEEDEMON.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.