Evidence map›Paper›PMID 34605924›Full record

ArticleSystematic biology2022

Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes.

Zhi Yan, Zhen Cao, Yushu Liu, Huw A Ogilvie, Luay Nakhleh

Abstract read
In one paragraph

Article in Systematic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. International journal of systematic and evolutionary microbiology · 2026
    Article
  3. Microorganisms · 2026
    Article
  4. Microorganisms · 2025
    Article
  5. Phylogenetic networks empower biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Variance ofFrontiers in genetics · 2025
    Article
  7. Article
  8. Article
  9. Polyphest: fast polyploid phylogeny estimation.Bioinformatics (Oxford, England) · 2024
    Article
  10. Article
  11. Article
  12. Subgenome-aware analyses reveal the genomic consequences of ancient allopolyploid hybridizations throughout the cotton family.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors.

Zhi YanDepartment of Computer Science, Rice University, Houston, 6100 Main Street, Houston, TX 77005, USA.ORCID 0000-0003-2433-5553
Zhen CaoDepartment of Computer Science, Rice University, Houston, 6100 Main Street, Houston, TX 77005, USA.
Yushu LiuDepartment of Computer Science, Rice University, Houston, 6100 Main Street, Houston, TX 77005, USA.
Huw A OgilvieDepartment of Computer Science, Rice University, Houston, 6100 Main Street, Houston, TX 77005, USA.
Luay NakhlehDepartment of Computer Science, Rice University, Houston, 6100 Main Street, Houston, TX 77005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenetic networks provide a powerful framework for modeling and analyzing reticulate evolutionary histories. While polyploidy has been shown to be prevalent not only in plants but also in other groups of eukaryotic species, most work done thus far on phylogenetic network inference assumes diploid hybridization. These inference methods have been applied, with varying degrees of success, to data sets with polyploid species, even though polyploidy violates the mathematical assumptions underlying these methods. Statistical methods were developed recently for handling specific types of polyploids and so were parsimony methods that could handle polyploidy more generally yet while excluding processes such as incomplete lineage sorting. In this article, we introduce a new method for inferring most parsimonious phylogenetic networks on data that include polyploid species. Taking gene tree topologies as input, the method seeks a phylogenetic network that minimizes deep coalescences while accounting for polyploidy. We demonstrate the performance of the method on both simulated and biological data. The inference method as well as a method for evaluating evolutionary hypotheses in the form of phylogenetic networks are implemented and publicly available in the PhyloNet software package. [Incomplete lineage sorting; minimizing deep coalescences; multilabeled trees; multispecies network coalescent; phylogenetic networks; polyploidy.].

Indexed as

Hybridization, GeneticPolyploidyBiological EvolutionHumansPhylogeny

Identifiers

PMID34605924
PMCPMC9017653

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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.