Evidence map›Paper›PMID 20170550›Full record

ArticleBMC plant biology2010

Mechanistic insights from a quantitative analysis of pollen tube guidance.

Shannon F Stewman, Matthew Jones-Rhoades, Prabhakar Bhimalapuram, Martin Tchernookov, Daphne Preuss, Aaron R Dinner

Abstract read
In one paragraph

Article in BMC plant biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Development (Cambridge, England) · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. The mathematics of sexual attraction.Journal of biology · 2010
    Review
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

6 authors.

Shannon F StewmanDepartment of Chemistry, The University of Chicago, 929 E 57th St, Chicago, IL 60637, USA.
Matthew Jones-Rhoades
Prabhakar Bhimalapuram
Martin Tchernookov
Daphne Preuss
Aaron R Dinner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant biologists have long speculated about the mechanisms that guide pollen tubes to ovules. Although there is now evidence that ovules emit a diffusible attractant, little is known about how this attractant mediates interactions between the pollen tube and the ovules.

resultsWe employ a semi-in vitro assay, in which ovules dissected from Arabidopsis thaliana are arranged around a cut style on artificial medium, to elucidate how ovules release the attractant and how pollen tubes respond to it. Analysis of microscopy images of the semi-in vitro system shows that pollen tubes are more attracted to ovules that are incubated on the medium for longer times before pollen tubes emerge from the cut style. The responses of tubes are consistent with their sensing a gradient of an attractant at 100-150 mum, farther than previously reported. Our microscopy images also show that pollen tubes slow their growth near the micropyles of functional ovules with a spatial range that depends on ovule incubation time.

conclusionsWe propose a stochastic model that captures these dynamics. In the model, a pollen tube senses a difference in the fraction of receptors bound to an attractant and changes its direction of growth in response; the attractant is continuously released from ovules and spreads isotropically on the medium. The model suggests that the observed slowing greatly enhances the ability of pollen tubes to successfully target ovules. The relation of the results to guidance in vivo is discussed.

Indexed as

ArabidopsisComputer SimulationCulture MediaImage Processing, Computer-AssistedMicroscopy, ConfocalModels, BiologicalOvulePollen TubeCulture Media

Identifiers

PMID20170550
PMCPMC2844068

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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.