ArticleTheoretical population biology2019
The probability of reciprocal monophyly of gene lineages in three and four species.
Article in Theoretical population biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Article
- All galls are divided into three or more parts: recursive enumeration of labeled histories for galled trees.Algorithms for molecular biology : AMB · 2023Article
- The Probability of Joint Monophyly of Samples of Gene Lineages for All Species in an Arbitrary Species Tree.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
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2 authors.
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Abstract
Reciprocal monophyly, a feature of a genealogy in which multiple groups of descendant lineages each consist of all of the descendants of their respective most recent common ancestors, has been an important concept in studies of species delimitation, phylogeography, population history reconstruction, systematics, and conservation. Computations involving the probability that reciprocal monophyly is observed in a genealogy have played a key role in criteria for defining taxonomic groups and inferring divergence times. The probability of reciprocal monophyly under a coalescent model of population divergence has been studied in detail for groups of gene lineages for pairs of species. Here, we extend this computation to generate corresponding probabilities for sets of gene lineages from three and four species. We study the effects of model parameters on the probability of reciprocal monophyly, finding that it is driven primarily by species tree height, with lesser but still substantial influences of internal branch lengths and sample sizes. We also provide an example application of our results to data from maize and teosinte.
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