Literature DB >> 19210721

Plasticity and robustness of pattern formation in the model diatom Phaeodactylum tricornutum.

Mathieu Vartanian1, Julien Desclés1, Michelle Quinet1, Stéphane Douady2, Pascal J Lopez1.   

Abstract

Understanding the morphogenesis of mineralized structures found in shells, bones, teeth, spicules and plant cell walls is difficult because of the complexities underlying biomineralization, and the requirement of accurate models for pattern formation. Here, we investigated the spatial and temporal development of siliceous structures found in a model diatom species, Phaeodactylum tricornutum, for which the entire genome has been sequenced and transformation is routine. Analyses of pattern formation revealed that the process of silicification starts from a 'pi-like' structure that controls the spatial organization of a sternum upon which regular instabilities are initiated and developed. Detailed analyses also demonstrate that morphogenesis of silica is nonuniform. We also tested the sensitivity of pattern formation to perturbation of proton pumps, and found that selective inhibitors of H(+)-V-ATPases affect silica biomineralization both quantitatively and qualitatively. Morphometric analyses of valves purified from isogenic populations of cells show that the morphometric noise of several traits is under exquisite regulation, explaining why the overall valve pattern is reproducibly maintained. Altogether our analyses demonstrate that silica morphogenesis is a robust but nonuniform process, and allow us to propose a model for the dynamic growth of materials within a spatially controlled geometry.

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Year:  2009        PMID: 19210721     DOI: 10.1111/j.1469-8137.2009.02769.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  13 in total

1.  Comparative metatranscriptomics identifies molecular bases for the physiological responses of phytoplankton to varying iron availability.

Authors:  Adrian Marchetti; David M Schruth; Colleen A Durkin; Micaela S Parker; Robin B Kodner; Chris T Berthiaume; Rhonda Morales; Andrew E Allen; E Virginia Armbrust
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-18       Impact factor: 11.205

2.  Metatranscriptomes reveal functional variation in diatom communities from the Antarctic Peninsula.

Authors:  Gareth A Pearson; Asuncion Lago-Leston; Fernando Cánovas; Cymon J Cox; Frederic Verret; Sebastian Lasternas; Carlos M Duarte; Susana Agusti; Ester A Serrão
Journal:  ISME J       Date:  2015-04-14       Impact factor: 10.302

3.  AUREOCHROME1a-mediated induction of the diatom-specific cyclin dsCYC2 controls the onset of cell division in diatoms (Phaeodactylum tricornutum).

Authors:  Marie J J Huysman; Antonio E Fortunato; Michiel Matthijs; Benjamin Schellenberger Costa; Rudy Vanderhaeghen; Hilde Van den Daele; Matthias Sachse; Dirk Inzé; Chris Bowler; Peter G Kroth; Christian Wilhelm; Angela Falciatore; Wim Vyverman; Lieven De Veylder
Journal:  Plant Cell       Date:  2013-01-04       Impact factor: 11.277

4.  Energetic coupling between plastids and mitochondria drives CO2 assimilation in diatoms.

Authors:  Benjamin Bailleul; Nicolas Berne; Omer Murik; Dimitris Petroutsos; Judit Prihoda; Atsuko Tanaka; Valeria Villanova; Richard Bligny; Serena Flori; Denis Falconet; Anja Krieger-Liszkay; Stefano Santabarbara; Fabrice Rappaport; Pierre Joliot; Leila Tirichine; Paul G Falkowski; Pierre Cardol; Chris Bowler; Giovanni Finazzi
Journal:  Nature       Date:  2015-07-13       Impact factor: 49.962

5.  Digital expression profiling of novel diatom transcripts provides insight into their biological functions.

Authors:  Uma Maheswari; Kamel Jabbari; Jean-Louis Petit; Betina M Porcel; Andrew E Allen; Jean-Paul Cadoret; Alessandra De Martino; Marc Heijde; Raymond Kaas; Julie La Roche; Pascal J Lopez; Véronique Martin-Jézéquel; Agnès Meichenin; Thomas Mock; Micaela Schnitzler Parker; Assaf Vardi; E Virginia Armbrust; Jean Weissenbach; Michaël Katinka; Chris Bowler
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

6.  Multiparametric analyses reveal the pH-dependence of silicon biomineralization in diatoms.

Authors:  Vincent Hervé; Julien Derr; Stéphane Douady; Michelle Quinet; Lionel Moisan; Pascal Jean Lopez
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

7.  Identification and characterization of microRNAs from Phaeodactylum tricornutum by high-throughput sequencing and bioinformatics analysis.

Authors:  Aiyou Huang; Linwen He; Guangce Wang
Journal:  BMC Genomics       Date:  2011-06-30       Impact factor: 3.969

8.  Phylogenetic analysis and a review of the history of the accidental phytoplankter, Phaeodactylum tricornutum Bohlin (Bacillariophyta).

Authors:  Jamal S M Sabir; Edward C Theriot; Schonna R Manning; Abdulrahman L Al-Malki; Mohammad A Khiyami; Areej K Al-Ghamdi; Mumdooh J Sabir; Dwight K Romanovicz; Nahid H Hajrah; Abdelfatteh El Omri; Robert K Jansen; Matt P Ashworth
Journal:  PLoS One       Date:  2018-06-08       Impact factor: 3.240

9.  Genome-wide transcriptome analyses of silicon metabolism in Phaeodactylum tricornutum reveal the multilevel regulation of silicic acid transporters.

Authors:  Guillaume Sapriel; Michelle Quinet; Marc Heijde; Laurent Jourdren; Véronique Tanty; Guangzuo Luo; Stéphane Le Crom; Pascal Jean Lopez
Journal:  PLoS One       Date:  2009-10-14       Impact factor: 3.240

10.  A genomics approach reveals the global genetic polymorphism, structure, and functional diversity of ten accessions of the marine model diatom Phaeodactylum tricornutum.

Authors:  Achal Rastogi; Fabio Rocha Jimenez Vieira; Anne-Flore Deton-Cabanillas; Alaguraj Veluchamy; Catherine Cantrel; Gaohong Wang; Pieter Vanormelingen; Chris Bowler; Gwenael Piganeau; Hanhua Hu; Leila Tirichine
Journal:  ISME J       Date:  2019-10-17       Impact factor: 10.302

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