Evidence map›Paper›PMID 22227890›Full record

ArticleThe Plant cell2012

Analyzing lateral root development: how to move forward.

Ive De Smet, Philip J White, A Glyn Bengough, Lionel Dupuy, Boris Parizot, Ilda Casimiro, Renze Heidstra, Marta Laskowski, Marc Lepetit, Frank Hochholdinger and 14 more

Abstract read
In one paragraph

Article in The Plant cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Enhanced NaPlanta · 2023
    Article
  8. Article
  9. Article
  10. Identification of tomato root growth regulatory genes and transcription factors through comparative transcriptomic profiling of different tissues.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  11. Article
  12. Article
  13. Frontiers in plant science · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Natural genetic variation shapes root system responses to phytohormones in Arabidopsis.The Plant journal : for cell and molecular biology · 2018
    Article
  20. 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

24 authors.

Ive De SmetDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Loughborough, Leicestershire LE12 5RD, United Kingdom. Ive.De_Smet@nottingham.ac.uk
Philip J White
A Glyn Bengough
Lionel Dupuy
Boris Parizot
Ilda Casimiro
Renze Heidstra
Marta Laskowski
Marc Lepetit
Frank Hochholdinger
Xavier Draye
Hanma Zhang
Martin R Broadley
Benjamin Péret
John P Hammond
Hidehiro Fukaki
Sacha Mooney
Jonathan P Lynch
Phillipe Nacry
Ulrich Schurr
Laurent Laplaze
Philip Benfey
Tom Beeckman
Malcolm Bennett

Funding

Biotechnology and Biological Sciences Research Council BB/D019613/1Biotechnology and Biological Sciences Research Council BB/G013969/1Biotechnology and Biological Sciences Research Council BB/G014159/1Biotechnology and Biological Sciences Research Council BB/G023972/1Biotechnology and Biological Sciences Research Council BB/H020314/1Biotechnology and Biological Sciences Research Council BB/H022457/1
6 · The paper itself

Abstract

Roots are important to plants for a wide variety of processes, including nutrient and water uptake, anchoring and mechanical support, storage functions, and as the major interface between the plant and various biotic and abiotic factors in the soil environment. Therefore, understanding the development and architecture of roots holds potential for the manipulation of root traits to improve the productivity and sustainability of agricultural systems and to better understand and manage natural ecosystems. While lateral root development is a traceable process along the primary root and different stages can be found along this longitudinal axis of time and development, root system architecture is complex and difficult to quantify. Here, we comment on assays to describe lateral root phenotypes and propose ways to move forward regarding the description of root system architecture, also considering crops and the environment.

Indexed as

Models, TheoreticalPlant Roots

Identifiers

PMID22227890
PMCPMC3289553

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.