Details

Autor(en) / Beteiligte

• Douglas, Jordan
• Bouckaert, Remco

Titel

Quantitatively defining species boundaries with more efficiency and more biological realism

Ist Teil von

• Communications biology, 2022-07, Vol.5 (1), p.755-755, Article 755

Ort / Verlag

London: Nature Publishing Group

Erscheinungsjahr

2022

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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.