Evidence map›Paper›PMID 27432988›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

The probability of monophyly of a sample of gene lineages on a species tree.

Rohan S Mehta, David Bryant, Noah A Rosenberg

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Ages, sizes and (trees within) trees of taxa and of urns, from Yule to today.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. 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 · 2022
    Article
  6. Article
  7. Fungal species boundaries in the genomics era.Fungal genetics and biology : FG & B · 2019
    Review
  8. Article
  9. Article
  10. In the light of evolution X: Comparative phylogeography.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rohan S MehtaDepartment of Biology, Stanford University, Stanford, CA 94305; rsmehta@stanford.edu.
David BryantDepartment of Mathematics and Statistics, University of Otago, Dunedin 9054, New Zealand.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, CA 94305;

Funding

Mathematical and computational analysis for species tree inferenceR01GM117590 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI RHODES, JOHN · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM117590
6 · The paper itself

Abstract

Monophyletic groups-groups that consist of all of the descendants of a most recent common ancestor-arise naturally as a consequence of descent processes that result in meaningful distinctions between organisms. Aspects of monophyly are therefore central to fields that examine and use genealogical descent. In particular, studies in conservation genetics, phylogeography, population genetics, species delimitation, and systematics can all make use of mathematical predictions under evolutionary models about features of monophyly. One important calculation, the probability that a set of gene lineages is monophyletic under a two-species neutral coalescent model, has been used in many studies. Here, we extend this calculation for a species tree model that contains arbitrarily many species. We study the effects of species tree topology and branch lengths on the monophyly probability. These analyses reveal new behavior, including the maintenance of nontrivial monophyly probabilities for gene lineage samples that span multiple species and even for lineages that do not derive from a monophyletic species group. We illustrate the mathematical results using an example application to data from maize and teosinte.

Indexed as

Models, GeneticPhylogenyZea mayscoalescent theorymonophylyphylogeography

Identifiers

PMID27432988
PMCPMC4961160

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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.