Literature DB >> 17142475

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

Katica Ilic1, 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.   

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.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17142475      PMCID: PMC1803752          DOI: 10.1104/pp.106.092825

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  26 in total

1.  Bio-ontologies-fast and furious.

Authors:  Judith Blake
Journal:  Nat Biotechnol       Date:  2004-06       Impact factor: 54.908

2.  It's all GO for plant scientists.

Authors:  Jennifer I Clark; Cath Brooksbank; Jane Lomax
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

3.  A loss-of-function mutation in AtYSL1 reveals its role in iron and nicotianamine seed loading.

Authors:  Marie Le Jean; Adam Schikora; Stéphane Mari; Jean-François Briat; Catherine Curie
Journal:  Plant J       Date:  2005-12       Impact factor: 6.417

4.  The role of JAGGED in shaping lateral organs.

Authors:  José R Dinneny; Ramin Yadegari; Robert L Fischer; Martin F Yanofsky; Detlef Weigel
Journal:  Development       Date:  2004-03       Impact factor: 6.868

5.  The Zebrafish Information Network (ZFIN): the zebrafish model organism database.

Authors:  Judy Sprague; Dave Clements; Tom Conlin; Pat Edwards; Ken Frazer; Kevin Schaper; Erik Segerdell; Peiran Song; Brock Sprunger; Monte Westerfield
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

6.  Using ontologies to describe mouse phenotypes.

Authors:  Georgios V Gkoutos; Eain C J Green; Ann-Marie Mallon; John M Hancock; Duncan Davidson
Journal:  Genome Biol       Date:  2004-12-20       Impact factor: 13.583

7.  An ontology for cell types.

Authors:  Jonathan Bard; Seung Y Rhee; Michael Ashburner
Journal:  Genome Biol       Date:  2005-01-14       Impact factor: 13.583

8.  BarleyBase--an expression profiling database for plant genomics.

Authors:  Lishuang Shen; Jian Gong; Rico A Caldo; Dan Nettleton; Dianne Cook; Roger P Wise; Julie A Dickerson
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

9.  The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data.

Authors:  Terry F Hayamizu; Mary Mangan; John P Corradi; James A Kadin; Martin Ringwald
Journal:  Genome Biol       Date:  2005-02-15       Impact factor: 13.583

10.  An ontology of human developmental anatomy.

Authors:  Amy Hunter; Matthew H Kaufman; Angus McKay; Richard Baldock; Martin W Simmen; Jonathan B L Bard
Journal:  J Anat       Date:  2003-10       Impact factor: 2.610

View more
  35 in total

1.  Animal trait ontology: The importance and usefulness of a unified trait vocabulary for animal species.

Authors:  L M Hughes; J Bao; Z-L Hu; V Honavar; J M Reecy
Journal:  J Anim Sci       Date:  2008-02-13       Impact factor: 3.159

Review 2.  Web-queryable large-scale data sets for hypothesis generation in plant biology.

Authors:  Siobhan M Brady; Nicholas J Provart
Journal:  Plant Cell       Date:  2009-04-28       Impact factor: 11.277

3.  PHENOPSIS DB: an information system for Arabidopsis thaliana phenotypic data in an environmental context.

Authors:  Juliette Fabre; Myriam Dauzat; Vincent Nègre; Nathalie Wuyts; Anne Tireau; Emilie Gennari; Pascal Neveu; Sébastien Tisné; Catherine Massonnet; Irène Hummel; Christine Granier
Journal:  BMC Plant Biol       Date:  2011-05-09       Impact factor: 4.215

4.  Ontologies as integrative tools for plant science.

Authors:  Ramona L Walls; Balaji Athreya; Laurel Cooper; Justin Elser; Maria A Gandolfo; Pankaj Jaiswal; Christopher J Mungall; Justin Preece; Stefan Rensing; Barry Smith; Dennis W Stevenson
Journal:  Am J Bot       Date:  2012-07-30       Impact factor: 3.844

5.  CORNET: a user-friendly tool for data mining and integration.

Authors:  Stefanie De Bodt; Diana Carvajal; Jens Hollunder; Joost Van den Cruyce; Sara Movahedi; Dirk Inzé
Journal:  Plant Physiol       Date:  2010-01-06       Impact factor: 8.340

6.  The teleost anatomy ontology: anatomical representation for the genomics age.

Authors:  Wasila M Dahdul; John G Lundberg; Peter E Midford; James P Balhoff; Hilmar Lapp; Todd J Vision; Melissa A Haendel; Monte Westerfield; Paula M Mabee
Journal:  Syst Biol       Date:  2010-03-29       Impact factor: 15.683

7.  Gramene QTL database: development, content and applications.

Authors:  Junjian Ni; Anuradha Pujar; Ken Youens-Clark; Immanuel Yap; Pankaj Jaiswal; Isaak Tecle; Chih-Wei Tung; Liya Ren; William Spooner; Xuehong Wei; Shuly Avraham; Doreen Ware; Lincoln Stein; Susan McCouch
Journal:  Database (Oxford)       Date:  2009-05-08       Impact factor: 3.451

8.  A Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.

Authors:  Hannes Vanhaeren; Nathalie Gonzalez; Dirk Inzé
Journal:  Arabidopsis Book       Date:  2015-07-22

9.  A rice phenomics study--phenotype scoring and seed propagation of a T-DNA insertion-induced rice mutant population.

Authors:  Chyr-Guan Chern; Ming-Jen Fan; Su-May Yu; Ai-Ling Hour; Po-Chang Lu; Yao-Cheng Lin; Fu-Jin Wei; Sheng-Chung Huang; Shu Chen; Ming-Hsing Lai; Ching-Shan Tseng; Hsing-Mu Yen; Woei-Shyuan Jwo; Chen-Chia Wu; Tung-Lung Yang; Lung-Sheng Li; Yih-Cheng Kuo; Su-Mien Li; Charng-Pei Li; Chiu-Kai Wey; Arunee Trisiriroj; Hsing-Fang Lee; Yue-Ie C Hsing
Journal:  Plant Mol Biol       Date:  2007-08-14       Impact factor: 4.076

10.  DcGO: database of domain-centric ontologies on functions, phenotypes, diseases and more.

Authors:  Hai Fang; Julian Gough
Journal:  Nucleic Acids Res       Date:  2012-11-17       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.