Evidence map›Paper›PMID 33861748›Full record

ArticlePLoS genetics2021

Tempo and mode in karyotype evolution revealed by a probabilistic model incorporating both chromosome number and morphology.

Kohta Yoshida, Jun Kitano

Abstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. The evolutionary genomics of meiotic drive.Molecular biology and evolution · 2026
    Article
  3. Article
  4. Article
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  6. Article
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  8. Review
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  11. Chromosomal conservatism vs chromosomal megaevolution: enigma of karyotypic evolution in Lepidoptera.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. The Evolution of Cytogenetic Traits inFrontiers in plant science · 2022
    Article
  16. Article
  17. 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

2 authors.

Kohta YoshidaEcological Genetics Laboratory, National Institute of Genetics, Mishima, Japan.ORCID 0000-0002-5896-7383
Jun KitanoEcological Genetics Laboratory, National Institute of Genetics, Mishima, Japan.ORCID 0000-0001-8659-5698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Karyotype, including the chromosome and arm numbers, is a fundamental genetic characteristic of all organisms and has long been used as a species-diagnostic character. Additionally, karyotype evolution plays an important role in divergent adaptation and speciation. Centric fusion and fission change chromosome numbers, whereas the intra-chromosomal movement of the centromere, such as pericentric inversion, changes arm numbers. A probabilistic model simultaneously incorporating both chromosome and arm numbers has not been established. Here, we built a probabilistic model of karyotype evolution based on the "karyograph", which treats karyotype evolution as a walk on the two-dimensional space representing the chromosome and arm numbers. This model enables analysis of the stationary distribution with a stable karyotype for any given parameter. After evaluating their performance using simulated data, we applied our model to two large taxonomic groups of fish, Eurypterygii and series Otophysi, to perform maximum likelihood estimation of the transition rates and reconstruct the evolutionary history of karyotypes. The two taxa significantly differed in the evolution of arm number. The inclusion of speciation and extinction rates demonstrated possibly high extinction rates in species with karyotypes other than the most typical karyotype in both groups. Finally, we made a model including polyploidization rates and applied it to a small plant group. Thus, the use of this probabilistic model can contribute to a better understanding of tempo and mode in karyotype evolution and its possible role in speciation and extinction.

Indexed as

Evolution, MolecularGenetic SpeciationKaryotypeAnimalsCentromereChromosome InversionChromosomesFishesHumansMarkov ChainsModels, StatisticalPhylogeny

Identifiers

PMID33861748
PMCPMC8081341

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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.