Evidence map›Paper›PMID 39549274›Full record

ArticleMolecular biology and evolution2024

Accurate Inference of the Polyploid Continuum Using Forward-Time Simulations.

Tamsen Dunn, Arun Sethuraman

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Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tamsen DunnDepartment of Biology, San Diego State University, San Diego, CA, USA.ORCID 0009-0008-4345-0235
Arun SethuramanDepartment of Biology, San Diego State University, San Diego, CA, USA.ORCID 0000-0002-8201-8292

Funding

CSUBIOTECHNSF ABI 1564659NSF CAREER 214812
6 · The paper itself

Abstract

Multiple rounds of whole-genome duplication (WGD) followed by diploidization have occurred throughout the evolutionary history of angiosperms. Much work has been done to model the genomic consequences and evolutionary significance of WGD. While researchers have historically modeled polyploids as either allopolyploids or autopolyploids, the variety of natural polyploids span a continuum of differentiation across multiple parameters, such as the extent of polysomic versus disomic inheritance, and the degree of genetic differentiation between the ancestral lineages. Here we present a forward-time polyploid genome evolution simulator called SpecKS. SpecKS models polyploid speciation as originating from a 2D continuum, whose dimensions account for both the level of genetic differentiation between the ancestral parental genomes, as well the time lag between ancestral speciation and their subsequent reunion in the derived polyploid. Using extensive simulations, we demonstrate that changes in initial conditions along either dimension of the 2D continuum deterministically affect the shape of the Ks histogram. Our findings indicate that the error in the common method of estimating WGD time from the Ks histogram peak scales with the degree of allopolyploidy, and we present an alternative, accurate estimation method that is independent of the degree of allopolyploidy. Lastly, we use SpecKS to derive tests that infer both the lag time between parental divergence and WGD time, and the diversity of the ancestral species, from an input Ks histogram. We apply the latter test to transcriptomic data from over 200 species across the plant kingdom, the results of which are concordant with the prevailing theory that the majority of angiosperm lineages are derived from diverse parental genomes and may be of allopolyploid origin.

Indexed as

Computer SimulationGenome, PlantModels, GeneticPolyploidyEvolution, MolecularGene DuplicationGenetic SpeciationMagnoliopsidaforward-time simulationsgenomicspolyploidy

Identifiers

PMID39549274
PMCPMC11669724

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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.