Literature DB >> 16905665

Whole-plant growth stage ontology for angiosperms and its application in plant biology.

Anuradha Pujar1, Pankaj Jaiswal, Elizabeth A Kellogg, Katica Ilic, Leszek Vincent, Shulamit Avraham, Peter Stevens, Felipe Zapata, Leonore Reiser, Seung Y Rhee, Martin M Sachs, Mary Schaeffer, Lincoln Stein, Doreen Ware, Susan McCouch.   

Abstract

Plant growth stages are identified as distinct morphological landmarks in a continuous developmental process. The terms describing these developmental stages record the morphological appearance of the plant at a specific point in its life cycle. The widely differing morphology of plant species consequently gave rise to heterogeneous vocabularies describing growth and development. Each species or family specific community developed distinct terminologies for describing whole-plant growth stages. This semantic heterogeneity made it impossible to use growth stage description contained within plant biology databases to make meaningful computational comparisons. The Plant Ontology Consortium (http://www.plantontology.org) was founded to develop standard ontologies describing plant anatomical as well as growth and developmental stages that can be used for annotation of gene expression patterns and phenotypes of all flowering plants. In this article, we describe the development of a generic whole-plant growth stage ontology that describes the spatiotemporal stages of plant growth as a set of landmark events that progress from germination to senescence. This ontology represents a synthesis and integration of terms and concepts from a variety of species-specific vocabularies previously used for describing phenotypes and genomic information. It provides a common platform for annotating gene function and gene expression in relation to the developmental trajectory of a plant described at the organismal level. As proof of concept the Plant Ontology Consortium used the plant ontology growth stage ontology to annotate genes and phenotypes in plants with initial emphasis on those represented in The Arabidopsis Information Resource, Gramene database, and MaizeGDB.

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Year:  2006        PMID: 16905665      PMCID: PMC1586063          DOI: 10.1104/pp.106.085720

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


  27 in total

1.  Phytochromes confer the photoperiodic control of flowering in rice (a short-day plant).

Authors:  T Izawa; T Oikawa; S Tokutomi; K Okuno; K Shimamoto
Journal:  Plant J       Date:  2000-06       Impact factor: 6.417

2.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

3.  Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants.

Authors:  D C Boyes; A M Zayed; R Ascenzi; A J McCaskill; N E Hoffman; K R Davis; J Görlach
Journal:  Plant Cell       Date:  2001-07       Impact factor: 11.277

4.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 5.  The molecular basis of diversity in the photoperiodic flowering responses of Arabidopsis and rice.

Authors:  Ryosuke Hayama; George Coupland
Journal:  Plant Physiol       Date:  2004-06       Impact factor: 8.340

Review 6.  Induction of flowering by seasonal changes in photoperiod.

Authors:  Iain Searle; George Coupland
Journal:  EMBO J       Date:  2004-03-04       Impact factor: 11.598

7.  The maize genetics and genomics database. The community resource for access to diverse maize data.

Authors:  Carolyn J Lawrence; Trent E Seigfried; Volker Brendel
Journal:  Plant Physiol       Date:  2005-05       Impact factor: 8.340

8.  Adaptation of photoperiodic control pathways produces short-day flowering in rice.

Authors:  Ryosuke Hayama; Shuji Yokoi; Shojiro Tamaki; Masahiro Yano; Ko Shimamoto
Journal:  Nature       Date:  2003-04-17       Impact factor: 49.962

9.  Molecular basis of seasonal time measurement in Arabidopsis.

Authors:  Marcelo J Yanovsky; Steve A Kay
Journal:  Nature       Date:  2002-09-19       Impact factor: 49.962

10.  The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community.

Authors:  Seung Yon Rhee; William Beavis; Tanya Z Berardini; Guanghong Chen; David Dixon; Aisling Doyle; Margarita Garcia-Hernandez; Eva Huala; Gabriel Lander; Mary Montoya; Neil Miller; Lukas A Mueller; Suparna Mundodi; Leonore Reiser; Julie Tacklind; Dan C Weems; Yihe Wu; Iris Xu; Daniel Yoo; Jungwon Yoon; Peifen Zhang
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

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  19 in total

1.  Genome-wide binding analysis of the transcription activator ideal plant architecture1 reveals a complex network regulating rice plant architecture.

Authors:  Zefu Lu; Hong Yu; Guosheng Xiong; Jing Wang; Yongqing Jiao; Guifu Liu; Yanhui Jing; Xiangbing Meng; Xingming Hu; Qian Qian; Xiangdong Fu; Yonghong Wang; Jiayang Li
Journal:  Plant Cell       Date:  2013-10-29       Impact factor: 11.277

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

Authors:  Katica Ilic; 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
Journal:  Plant Physiol       Date:  2006-12-01       Impact factor: 8.340

3.  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

4.  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

5.  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

6.  The Arabidopsis CstF64-Like RSR1/ESP1 Protein Participates in Glucose Signaling and Flowering Time Control.

Authors:  Dietmar Funck; Karen Clauß; Wolf B Frommer; Hanjo A Hellmann
Journal:  Front Plant Sci       Date:  2012-05-04       Impact factor: 5.753

7.  Computable visually observed phenotype ontological framework for plants.

Authors:  Jaturon Harnsomburana; Jason M Green; Adrian S Barb; Mary Schaeffer; Leszek Vincent; Chi-Ren Shyu
Journal:  BMC Bioinformatics       Date:  2011-06-24       Impact factor: 3.169

8.  The plant ontology as a tool for comparative plant anatomy and genomic analyses.

Authors:  Laurel Cooper; Ramona L Walls; Justin Elser; Maria A Gandolfo; Dennis W Stevenson; Barry Smith; Justin Preece; Balaji Athreya; Christopher J Mungall; Stefan Rensing; Manuel Hiss; Daniel Lang; Ralf Reski; Tanya Z Berardini; Donghui Li; Eva Huala; Mary Schaeffer; Naama Menda; Elizabeth Arnaud; Rosemary Shrestha; Yukiko Yamazaki; Pankaj Jaiswal
Journal:  Plant Cell Physiol       Date:  2012-12-05       Impact factor: 4.927

9.  Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.

Authors:  Hashem A Shihab; Julian Gough; David N Cooper; Peter D Stenson; Gary L A Barker; Keith J Edwards; Ian N M Day; Tom R Gaunt
Journal:  Hum Mutat       Date:  2012-11-02       Impact factor: 4.878

10.  From manual curation to visualization of gene families and networks across Solanaceae plant species.

Authors:  Anuradha Pujar; Naama Menda; Aureliano Bombarely; Jeremy D Edwards; Susan R Strickler; Lukas A Mueller
Journal:  Database (Oxford)       Date:  2013-05-15       Impact factor: 3.451

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