Evidence map›Paper›PMID 27797951›Full record

ArticleGenome biology and evolution2016

The Evolution of Haploid Chromosome Numbers in the Sunflower Family.

Lucie Mota, Rubén Torices, João Loureiro

Abstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Chromosome Number and rDNA Loci Evolution inInternational journal of molecular sciences · 2022
    Article
  7. Molecular and Cytogenetic Analysis of rDNA Evolution in Crepis Sensu Lato.International journal of molecular sciences · 2022
    Article
  8. Review
  9. Review
  10. InterstitialPlants (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Review
  13. 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.

Lucie MotaCentre for Functional Ecology (CFE), Department of Life Sciences, University of Coimbra, Coimbra, Portugal luciemota.bio@gmail.com.
Rubén ToricesCentre for Functional Ecology (CFE), Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
João LoureiroCentre for Functional Ecology (CFE), Department of Life Sciences, University of Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome number changes during the evolution of angiosperms are likely to have played a major role in speciation. Their study is of utmost importance, especially now, as a probabilistic model is available to study chromosome evolution within a phylogenetic framework. In the present study, likelihood models of chromosome number evolution were fitted to the largest family of flowering plants, the Asteraceae. Specifically, a phylogenetic supertree of this family was used to reconstruct the ancestral chromosome number and infer genomic events. Our approach inferred that the ancestral chromosome number of the family is n = 9. Also, according to the model that best explained our data, the evolution of haploid chromosome numbers in Asteraceae was a very dynamic process, with genome duplications and descending dysploidy being the most frequent genomic events in the evolution of this family. This model inferred more than one hundred whole genome duplication events; however, it did not find evidence for a paleopolyploidization at the base of this family, which has previously been hypothesized on the basis of sequence data from a limited number of species. The obtained results and potential causes of these discrepancies are discussed.

Indexed as

Evolution, MolecularHaploidyChromosomes, PlantHelianthusKaryotypePhylogenyancestral chromosome numberduplicationdysploidypolyploidyprobabilistic modelssunflower family

Identifiers

PMID27797951
PMCPMC5203788

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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.