Evidence map›Paper›PMID 23686220›Full record

ArticlePlant reproduction2013

Volume-based pollen size analysis: an advanced method to assess somatic and gametophytic ploidy in flowering plants.

Nico De Storme, Linda Zamariola, Martin Mau, Timothy F Sharbel, Danny Geelen

Abstract read
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Article in Plant reproduction, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

5 authors.

Nico De StormeDepartment of Plant Production, Faculty of Bioscience Engineering, University of Ghent, Coupure Links 653, 9000, Ghent, Belgium.
Linda Zamariola
Martin Mau
Timothy F Sharbel
Danny Geelen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollen size is often used as a biological parameter to estimate the ploidy and viability of mature pollen grains. In general, pollen size quantification is performed one- or two-dimensionally using image-based diameter measurements. As these approaches are elaborate and time consuming, alternative approaches that enable a quick, reliable analysis of pollen size are highly relevant for plant research. In this study, we present the volume-based particle size analysis technique as an alternative method to characterize mature pollen. Based on a comparative assay using different plant species (including tomato, oilseed rape, kiwifruit, clover, among others), we found that volume-based pollen size measurements are not biased by the pollen shape or position and substantially reduce non-biological variation, allowing a more accurate determination of the actual pollen size. As such, volume-based particle size techniques have a strong discriminative power in detecting pollen size differences caused by alterations in the gametophytic ploidy level and therefore allow for a quick and reliable estimation of the somatic ploidy level. Based on observations in Arabidopsis thaliana gametophytic mutants and differentially reproducing Boechera polyantha lines, we additionally found that volume-based pollen size analysis provides quantitative and qualitative data about alterations in male sporogenesis, including aneuploid and diploid gamete formation. Volume-based pollen size analysis therefore not only provides a quick and easy methodology to determine the somatic ploidy level of flowering plants, but can also be used to determine the mode of reproduction and to quantify the level of diplogamete formation.

Indexed as

PloidiesAllelesArabidopsisBrassicaCell SizeDiploidyFlow CytometryGametogenesis, PlantMagnoliopsidaMutationPollenPolyploidyTetraploidy

Identifiers

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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.