Literature DB >> 33446694

ScreenSeed as a novel high throughput seed germination phenotyping method.

Nicolas Merieux1, Pierre Cordier1, Marie-Hélène Wagner2, Sylvie Ducournau2, Sophie Aligon3, Dominique Job4, Philippe Grappin5, Edwin Grappin6.   

Abstract

A high throughput phenotyping tool for seed germination, the ScreenSeed technology, was developed with the aim of screening genotype responsiveness and chemical drugs. This technology was presently used with Arabidopsis thaliana seeds to allow characterizing seed samples germination behavior by incubating seeds in 96-well microplates under defined conditions and detecting radicle protrusion through the seed coat by automated image analysis. This study shows that this technology provides a fast procedure allowing to handle thousands of seeds without compromising repeatability or accuracy of the germination measurements. Potential biases of the experimental protocol were assessed through statistical analyses of germination kinetics. Comparison of the ScreenSeed procedure with commonly used germination tests based upon visual scoring displayed very similar germination kinetics.

Entities:  

Year:  2021        PMID: 33446694      PMCID: PMC7809209          DOI: 10.1038/s41598-020-79115-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  33 in total

1.  Constraints and potentials of future irrigation water availability on agricultural production under climate change.

Authors:  Joshua Elliott; Delphine Deryng; Christoph Müller; Katja Frieler; Markus Konzmann; Dieter Gerten; Michael Glotter; Martina Flörke; Yoshihide Wada; Neil Best; Stephanie Eisner; Balázs M Fekete; Christian Folberth; Ian Foster; Simon N Gosling; Ingjerd Haddeland; Nikolay Khabarov; Fulco Ludwig; Yoshimitsu Masaki; Stefan Olin; Cynthia Rosenzweig; Alex C Ruane; Yusuke Satoh; Erwin Schmid; Tobias Stacke; Qiuhong Tang; Dominik Wisser
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

2.  High-Throughput Scoring of Seed Germination.

Authors:  Wilco Ligterink; Henk W M Hilhorst
Journal:  Methods Mol Biol       Date:  2017

3.  ABA induction of miR159 controls transcript levels of two MYB factors during Arabidopsis seed germination.

Authors:  José L Reyes; Nam-Hai Chua
Journal:  Plant J       Date:  2007-01-08       Impact factor: 6.417

4.  Cloning of DOG1, a quantitative trait locus controlling seed dormancy in Arabidopsis.

Authors:  Leónie Bentsink; Jemma Jowett; Corrie J Hanhart; Maarten Koornneef
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-25       Impact factor: 11.205

5.  Proteomic analysis of arabidopsis seed germination and priming.

Authors:  K Gallardo; C Job; S P Groot; M Puype; H Demol; J Vandekerckhove; D Job
Journal:  Plant Physiol       Date:  2001-06       Impact factor: 8.340

6.  Integrating proteomics and enzymatic profiling to decipher seed metabolism affected by temperature in seed dormancy and germination.

Authors:  Qiong Xia; Maharajah Ponnaiah; Gwendal Cueff; Loïc Rajjou; Duyen Prodhomme; Yves Gibon; Christophe Bailly; Françoise Corbineau; Patrice Meimoun; Hayat El-Maarouf-Bouteau
Journal:  Plant Sci       Date:  2018-02-02       Impact factor: 4.729

7.  Control of seed dormancy in Nicotiana plumbaginifolia: post-imbibition abscisic acid synthesis imposes dormancy maintenance.

Authors:  P Grappin; D Bouinot; B Sotta; E Miginiac; M Jullien
Journal:  Planta       Date:  2000-01       Impact factor: 4.116

Review 8.  The development of Arabidopsis as a model plant.

Authors:  Maarten Koornneef; David Meinke
Journal:  Plant J       Date:  2010-03       Impact factor: 6.417

9.  Germination and Dormancy of Abscisic Acid- and Gibberellin-Deficient Mutant Tomato (Lycopersicon esculentum) Seeds (Sensitivity of Germination to Abscisic Acid, Gibberellin, and Water Potential).

Authors:  B. R. Ni; K. J. Bradford
Journal:  Plant Physiol       Date:  1993-02       Impact factor: 8.340

10.  GERMINATOR: a software package for high-throughput scoring and curve fitting of Arabidopsis seed germination.

Authors:  Ronny V L Joosen; Jan Kodde; Leo A J Willems; Wilco Ligterink; Linus H W van der Plas; Henk W M Hilhorst
Journal:  Plant J       Date:  2009-12-22       Impact factor: 6.417

View more
  3 in total

1.  MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision.

Authors:  Vinicius Lube; Mehmet Alican Noyan; Alexander Przybysz; Khaled Salama; Ikram Blilou
Journal:  Plant Methods       Date:  2022-03-27       Impact factor: 4.993

2.  Seed Transmission of Pathogens: Non-Canonical Immune Response in Arabidopsis Germinating Seeds Compared to Early Seedlings against the Necrotrophic Fungus Alternaria brassicicola.

Authors:  Mailen Ortega-Cuadros; Tiago Lodi De Souza; Romain Berruyer; Sophie Aligon; Sandra Pelletier; Jean-Pierre Renou; Tatiana Arias; Claire Campion; Thomas Guillemette; Jérome Verdier; Philippe Grappin
Journal:  Plants (Basel)       Date:  2022-06-28

3.  Dual-transcriptomic datasets evaluating the effect of the necrotrophic fungus Alternaria brassicicola on Arabidopsis germinating seeds.

Authors:  Mailen Ortega-Cuadros; Laurine Chir; Sophie Aligon; Tatiana Arias; Jerome Verdier; Philippe Grappin
Journal:  Data Brief       Date:  2022-08-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.