Evidence map›Paper›PMID 17142475›Full record

ArticlePlant physiology2007

The plant structure ontology, a unified vocabulary of anatomy and morphology of a flowering plant.

Katica Ilic, Elizabeth A Kellogg, Pankaj Jaiswal, Felipe Zapata, Peter F Stevens, Leszek P Vincent, Shulamit Avraham, Leonore Reiser, Anuradha Pujar, Martin M Sachs and 6 more

Abstract read
In one paragraph

Article in Plant physiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Sainfoin (Frontiers in plant science · 2023
    Article
  5. Article
  6. Article
  7. Review: New sensors and data-driven approaches-A path to next generation phenomics.Plant science : an international journal of experimental plant biology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
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  17. Review
  18. Image-based phenotyping of plant disease symptoms.Frontiers in plant science · 2014
    Article
  19. Review
  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

16 authors.

Katica IlicDepartment of Plant Biology, Carnegie Institution, Stanford, California 94305, USA.
Elizabeth A Kellogg
Pankaj Jaiswal
Felipe Zapata
Peter F Stevens
Leszek P Vincent
Shulamit Avraham
Leonore Reiser
Anuradha Pujar
Martin M Sachs
Noah T Whitman
Susan R McCouch
Mary L Schaeffer
Doreen H Ware
Lincoln D Stein
Seung Y Rhee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formal description of plant phenotypes and standardized annotation of gene expression and protein localization data require uniform terminology that accurately describes plant anatomy and morphology. This facilitates cross species comparative studies and quantitative comparison of phenotypes and expression patterns. A major drawback is variable terminology that is used to describe plant anatomy and morphology in publications and genomic databases for different species. The same terms are sometimes applied to different plant structures in different taxonomic groups. Conversely, similar structures are named by their species-specific terms. To address this problem, we created the Plant Structure Ontology (PSO), the first generic ontological representation of anatomy and morphology of a flowering plant. The PSO is intended for a broad plant research community, including bench scientists, curators in genomic databases, and bioinformaticians. The initial releases of the PSO integrated existing ontologies for Arabidopsis (Arabidopsis thaliana), maize (Zea mays), and rice (Oryza sativa); more recent versions of the ontology encompass terms relevant to Fabaceae, Solanaceae, additional cereal crops, and poplar (Populus spp.). Databases such as The Arabidopsis Information Resource, Nottingham Arabidopsis Stock Centre, Gramene, MaizeGDB, and SOL Genomics Network are using the PSO to describe expression patterns of genes and phenotypes of mutants and natural variants and are regularly contributing new annotations to the Plant Ontology database. The PSO is also used in specialized public databases, such as BRENDA, GENEVESTIGATOR, NASCArrays, and others. Over 10,000 gene annotations and phenotype descriptions from participating databases can be queried and retrieved using the Plant Ontology browser. The PSO, as well as contributed gene associations, can be obtained at www.plantontology.org.

Indexed as

Terminology as TopicGene Expression Regulation, PlantMagnoliopsidaPlant ProteinsPlant StructuresUser-Computer InterfacePlant Proteins

Identifiers

PMID17142475
PMCPMC1803752

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.