Evidence map›Paper›PMID 40551002›Full record

ArticleThe plant genome2025

Exploring chromosomal variations in garden roses: Insights from high-density SNP array data and a new tool, Qploidy.

Cristiane H Taniguti, Jeekin Lau, Tessa Hochhaus, Diana C Lopez Arias, Stan C Hokanson, David C Zlesak, David H Byrne, Patricia E Klein, Oscar Riera-Lizarazu

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Cristiane H TanigutiDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0002-2021-6883
Jeekin LauDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0003-1114-6892
Tessa HochhausDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0002-1977-7261
Diana C Lopez AriasDepartment of Horticultural Science, University of Minnesota, Saint Paul, Minnesota, USA.
Stan C HokansonDepartment of Horticultural Science, University of Minnesota, Saint Paul, Minnesota, USA.
David C ZlesakDepartment of Plant and Earth Science, University of Wisconsin-River Falls, River Falls, Wisconsin, USA.
David H ByrneDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.
Patricia E KleinDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.
Oscar Riera-LizarazuDepartment of Horticultural Sciences, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0000-0002-7477-4063

Funding

Robert E. Basye Endowment in Rose Genetics, Texas A&M UniversityUSDA, NIFA, Specialty Crop Research Initiative (SCRI) 2020-51181-32156USDA, NIFA, Specialty Crop Research Initiative (SCRI) 2022-51181-38330
6 · The paper itself

Abstract

Roses (Rosa L.) are among the most economically important ornamentals worldwide, with ploidy ranging from diploid (2x) to hendecaploid (11x), though most cultivars are diploid (2x), triploid (3x), or tetraploid (4x). To enable large-scale analyses of ploidy and aneuploidy in roses using high-density single nucleotide polymorphism (SNP) array data, we developed Qploidy, an R package. Qploidy leverages tools for estimating allele dosage, adapts methods from human genetics for copy number estimation, and optimizes the standardization of allele intensity (R) and B allele frequency (BAF) for ploidy levels greater than 2x. With Qploidy, we analyzed a dataset of 1944 samples consisting of 588 samples from a germplasm collection and 1356 samples from 14 biparental mapping populations. The majority of genotypes in the germplasm collection were tetraploid (56%), followed by diploids (20%) and triploids (11%). The percentage of aneuploids was lower in the germplasm collection (2%) compared to biparental populations (16%). Reduced fitness likely explains the higher frequency of aneuploids in mapping populations compared to the germplasm collection, where stronger selective pressures normally act. In tetraploid biparental populations, pentasomy (65%) was significantly more common than trisomy (19%). Also, aneuploid states were predominantly transmitted through the female parent (87%), suggesting greater gametophyte sensitivity to chromosome number variation, particularly the loss of a chromosome. Since aneuploidy disturbs linkage and quantitative trait loci (QTL) analyses, Qploidy may also be used to guide the removal of aneuploid-affected data prior to downstream analysis. Besides roses, Qploidy can be used to study ploidy and aneuploidy in other polyploid species.

Indexed as

Chromosomes, PlantPloidiesPolymorphism, Single NucleotideAneuploidyGenotype

Identifiers

PMID40551002
PMCPMC12185385

What OpenQuestion holds

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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.