Evidence map›Paper›PMID 30250220›Full record

ArticleScientific reports2018

Unscrambling phylogenetic effects and ecological determinants of chromosome number in major angiosperm clades.

Angelino Carta, Gianni Bedini, Lorenzo Peruzzi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mixed-Ploidy and Dysploidy inPlants (Basel, Switzerland) · 2022
    Article
  5. 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.

Angelino CartaDepartment of Biology, Unit of Botany, University of Pisa, via Derna 1, 56126, Pisa, Italy. angelino.carta@unipi.it.ORCID 0000-0001-8437-818X
Gianni BediniDepartment of Biology, Unit of Botany, University of Pisa, via Derna 1, 56126, Pisa, Italy.
Lorenzo PeruzziDepartment of Biology, Unit of Botany, University of Pisa, via Derna 1, 56126, Pisa, Italy.ORCID 0000-0001-9008-273X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As variations in the chromosome number are recognized to be of evolutionary interest but are also widely debated in the literature, we aimed to quantitatively test for possible relationships among the chromosome number, plant traits, and environmental factors. In particular, the chromosome number and drivers of its variation were examined in 801 Italian endemic vascular plants, for a total of 1364 accessions. We estimated phylogenetic inertia and adaptation in chromosome number - based on an Ornstein-Uhlenbeck process - and related chromosome numbers with other plant traits and environmental variables. Phylogenetic effects in chromosome number varied among the examined clades but were generally high. Chromosome numbers were poorly related to large scale climatic conditions, while a stronger relationship with categorical variables was found. Specifically, open, disturbed, drought-prone habitats selected for low chromosome numbers, while perennial herbs, living in shaded, stable environments were associated with high chromosome numbers. Altogether, our findings support an evolutionary role of chromosome number variation, and we argue that environmental stability favours higher recombination rates in comparison to unstable environments. In addition, by comparing the results of models testing for the evolvability of 2n and of x, we provide insight into the presumptive ecological significance of polyploidy.

Indexed as

Evolution, MolecularAdaptation, PhysiologicalAsteraceaeChromosomes, PlantEcologyEcosystemMagnoliopsidaPhylogenyPolyploidy

Identifiers

PMID30250220
PMCPMC6155329

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Registered trials

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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.