Evidence map›Paper›PMID 29895611›Full record

ArticlePlant physiology2018

EZ-Root-VIS: A Software Pipeline for the Rapid Analysis and Visual Reconstruction of Root System Architecture.

Zaigham Shahzad, Fabian Kellermeier, Emily M Armstrong, Simon Rogers, Guillaume Lobet, Anna Amtmann, Adrian Hills

Abstract read
In one paragraph

Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. International journal of molecular sciences · 2026
    Article
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  3. Article
  4. Article
  5. Article
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  8. An allelic variant in the ACS7 gene promotes primary root growth in watermelon.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  9. Review
  10. Article
  11. Altered Root Growth, Auxin Metabolism and Distribution inInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Article
  14. GlutaredoxinPlant direct · 2020
    Article
  15. Article
  16. Article
  17. 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

7 authors.

Zaigham ShahzadInstitute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow G12 8QQ, United Kingdom.ORCID 0000-0002-3953-3184
Fabian KellermeierInstitute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Emily M ArmstrongInstitute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Simon RogersSchool of Computing Science, University of Glasgow, Glasgow G12 8QQ, United Kingdom.ORCID 0000-0003-3578-4477
Guillaume LobetAgrosphäre (IBG-3), Forschungszentrum Jülich, 52428 Jülich, Germany.ORCID 0000-0002-5883-4572
Anna AmtmannInstitute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow G12 8QQ, United Kingdom anna.amtmann@glasgow.ac.uk adrian.hills@glasgow.ac.uk.ORCID 0000-0001-8533-121X
Adrian HillsInstitute of Molecular, Cell and Systems Biology, University of Glasgow, Glasgow G12 8QQ, United Kingdom anna.amtmann@glasgow.ac.uk adrian.hills@glasgow.ac.uk.ORCID 0000-0002-4705-0756

Funding

Biotechnology and Biological Sciences Research Council BB/N018508/1Biotechnology and Biological Sciences Research Council P17237
6 · The paper itself

Abstract

If we want to understand how the environment has shaped the appearance and behavior of living creatures, we need to compare groups of individuals that differ in genetic makeup and environment experience. For complex phenotypic features, such as body posture or facial expression in humans, comparison is not straightforward because some of the contributing factors cannot easily be quantified or averaged across individuals. Therefore, computational methods are used to reconstruct representative prototypes using a range of algorithms for filling in missing information and calculating means. The same problem applies to the root system architecture (RSA) of plants. Several computer programs are available for extracting numerical data from root images, but they usually do not offer customized data analysis or visual reconstruction of RSA. We developed Root-VIS, a free software tool that facilitates the determination of means and variance of many different RSA features across user-selected sets of root images. Furthermore, Root-VIS offers several options to generate visual reconstructions of root systems from the averaged data to enable screening and modeling. We confirmed the suitability of Root-VIS, combined with a new version of EZ-Rhizo, for the rapid characterization of genotype-environment interactions and gene discovery through genome-wide association studies in Arabidopsis (

Indexed as

SoftwareArabidopsisArabidopsis ProteinsGene-Environment InteractionGenome-Wide Association StudyImage Processing, Computer-AssistedPlant RootsPolymorphism, Single NucleotideArabidopsis Proteins

Identifiers

PMID29895611
PMCPMC6084667

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.