Literature DB >> 11449047

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

D C Boyes1, A M Zayed, R Ascenzi, A J McCaskill, N E Hoffman, K R Davis, J Görlach.   

Abstract

With the completion of the Arabidopsis genome sequencing project, the next major challenge is the large-scale determination of gene function. As a model organism for agricultural biotechnology, Arabidopsis presents the opportunity to provide key insights into the way that gene function can affect commercial crop production. In an attempt to aid in the rapid discovery of gene function, we have established a high throughput phenotypic analysis process based on a series of defined growth stages that serve both as developmental landmarks and as triggers for the collection of morphological data. The data collection process has been divided into two complementary platforms to ensure the capture of detailed data describing Arabidopsis growth and development over the entire life of the plant. The first platform characterizes early seedling growth on vertical plates for a period of 2 weeks. The second platform consists of an extensive set of measurements from plants grown on soil for a period of approximately 2 months. When combined with parallel processes for metabolic and gene expression profiling, these platforms constitute a core technology in the high throughput determination of gene function. We present here analyses of the development of wild-type Columbia (Col-0) plants and selected mutants to illustrate a framework methodology that can be used to identify and interpret phenotypic differences in plants resulting from genetic variation and/or environmental stress.

Entities:  

Mesh:

Year:  2001        PMID: 11449047      PMCID: PMC139543          DOI: 10.1105/tpc.010011

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  8 in total

Review 1.  T-DNA as an insertional mutagen in Arabidopsis.

Authors:  P J Krysan; J C Young; M R Sussman
Journal:  Plant Cell       Date:  1999-12       Impact factor: 11.277

2.  Exploiting the triple response of Arabidopsis to identify ethylene-related mutants.

Authors:  P Guzmán; J R Ecker
Journal:  Plant Cell       Date:  1990-06       Impact factor: 11.277

3.  Early flower development in Arabidopsis.

Authors:  D R Smyth; J L Bowman; E M Meyerowitz
Journal:  Plant Cell       Date:  1990-08       Impact factor: 11.277

4.  Isolation and Characterization of a Starchless Mutant of Arabidopsis thaliana (L.) Heynh Lacking ADPglucose Pyrophosphorylase Activity.

Authors:  T P Lin; T Caspar; C Somerville; J Preiss
Journal:  Plant Physiol       Date:  1988-04       Impact factor: 8.340

5.  Isolation of a mutant Arabidopsis plant that lacks N-acetyl glucosaminyl transferase I and is unable to synthesize Golgi-modified complex N-linked glycans.

Authors:  A von Schaewen; A Sturm; J O'Neill; M J Chrispeels
Journal:  Plant Physiol       Date:  1993-08       Impact factor: 8.340

6.  An Arabidopsis mutant defective in the general phenylpropanoid pathway.

Authors:  C C Chapple; T Vogt; B E Ellis; C R Somerville
Journal:  Plant Cell       Date:  1992-11       Impact factor: 11.277

7.  Directed tagging of the Arabidopsis FATTY ACID ELONGATION1 (FAE1) gene with the maize transposon activator.

Authors:  D W James; E Lim; J Keller; I Plooy; E Ralston; H K Dooner
Journal:  Plant Cell       Date:  1995-03       Impact factor: 11.277

8.  Mutants of Arabidopsis with alterations in seed lipid fatty acid composition.

Authors:  B Lemieux; M Miquel; C Somerville; J Browse
Journal:  Theor Appl Genet       Date:  1990-08       Impact factor: 5.699

  8 in total
  547 in total

Review 1.  Genomics and plant cells: application of genomics strategies to Arabidopsis cell biology.

Authors:  Michael Bevan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-06-29       Impact factor: 6.237

2.  The beta-subunit of the Arabidopsis G protein negatively regulates auxin-induced cell division and affects multiple developmental processes.

Authors:  Hemayet Ullah; Jin-Gui Chen; Brenda Temple; Douglas C Boyes; José M Alonso; Keith R Davis; Joseph R Ecker; Alan M Jones
Journal:  Plant Cell       Date:  2003-02       Impact factor: 11.277

3.  Comparative analysis of the Arabidopsis pollen transcriptome.

Authors:  David Honys; David Twell
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

4.  Using genomic resources to guide research directions. The arabinogalactan protein gene family as a test case.

Authors:  Carolyn J Schultz; Michael P Rumsewicz; Kim L Johnson; Brian J Jones; Yolanda M Gaspar; Antony Bacic
Journal:  Plant Physiol       Date:  2002-08       Impact factor: 8.340

5.  Viral RNA silencing suppressors inhibit the microRNA pathway at an intermediate step.

Authors:  Elisabeth J Chapman; Alexey I Prokhnevsky; Kodetham Gopinath; Valerian V Dolja; James C Carrington
Journal:  Genes Dev       Date:  2004-05-06       Impact factor: 11.361

6.  GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox.

Authors:  Philip Zimmermann; Matthias Hirsch-Hoffmann; Lars Hennig; Wilhelm Gruissem
Journal:  Plant Physiol       Date:  2004-09       Impact factor: 8.340

7.  Diurnal changes in the transcriptome encoding enzymes of starch metabolism provide evidence for both transcriptional and posttranscriptional regulation of starch metabolism in Arabidopsis leaves.

Authors:  Steven M Smith; Daniel C Fulton; Tansy Chia; David Thorneycroft; Andrew Chapple; Hannah Dunstan; Christopher Hylton; Samuel C Zeeman; Alison M Smith
Journal:  Plant Physiol       Date:  2004-09-03       Impact factor: 8.340

8.  Heterosis of biomass production in Arabidopsis. Establishment during early development.

Authors:  Rhonda C Meyer; Ottó Törjék; Martina Becher; Thomas Altmann
Journal:  Plant Physiol       Date:  2004-04-02       Impact factor: 8.340

9.  Arabidopsis thaliana as a model for the study of plant-virus co-evolution.

Authors:  Israel Pagán; Aurora Fraile; Elena Fernandez-Fueyo; Nuria Montes; Carlos Alonso-Blanco; Fernando García-Arenal
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-27       Impact factor: 6.237

10.  Molecular characterization of Brassica napus stress related transcription factors, BnMYB44 and BnVIP1, selected based on comparative analysis of Arabidopsis thaliana and Eutrema salsugineum transcriptomes.

Authors:  Roohollah Shamloo-Dashtpagerdi; Hooman Razi; Esmaeil Ebrahimie; Ali Niazi
Journal:  Mol Biol Rep       Date:  2018-07-23       Impact factor: 2.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.