Literature DB >> 18212125

Whole-genome expression profiling of the marine diatom Thalassiosira pseudonana identifies genes involved in silicon bioprocesses.

Thomas Mock1, Manoj Pratim Samanta, Vaughn Iverson, Chris Berthiaume, Matthew Robison, Karie Holtermann, Colleen Durkin, Sandra Splinter Bondurant, Kathryn Richmond, Matthew Rodesch, Toivo Kallas, Edward L Huttlin, Francesco Cerrina, Michael R Sussman, E Virginia Armbrust.   

Abstract

Formation of complex inorganic structures is widespread in nature. Diatoms create intricately patterned cell walls of inorganic silicon that are a biomimetic model for design and generation of three-dimensional silica nanostructures. To date, only relatively simple silica structures can be generated in vitro through manipulation of known diatom phosphoproteins (silaffins) and long-chain polyamines. Here, we report the use of genome-wide transcriptome analyses of the marine diatom Thalassiosira pseudonana to identify additional candidate gene products involved in the biological manipulation of silicon. Whole-genome oligonucleotide tiling arrays and tandem mass spectrometry identified transcripts for >8,000 genes, approximately 3,000 of which were not previously described and included noncoding and antisense RNAs. Gene-specific expression profiles detected a set of 75 genes induced only under low concentrations of silicon but not under low concentrations of nitrogen or iron, alkaline pH, or low temperatures. Most of these induced gene products were predicted to contain secretory signals and/or transmembrane domains but displayed no homology to known proteins. Over half of these genes were newly discovered, identified only through the use of tiling arrays. Unexpectedly, a common set of 84 genes were induced by both silicon and iron limitations, suggesting that biological manipulation of silicon may share pathways in common with iron or, alternatively, that iron may serve as a required cofactor for silicon processes. These results provide insights into the transcriptional and translational basis for the biological generation of elaborate silicon nanostructures by these ecologically important microbes.

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Year:  2008        PMID: 18212125      PMCID: PMC2234187          DOI: 10.1073/pnas.0707946105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

1.  BLAT--the BLAST-like alignment tool.

Authors:  W James Kent
Journal:  Genome Res       Date:  2002-04       Impact factor: 9.043

Review 2.  Components and control of silicification in diatoms.

Authors:  Mark Hildebrand; Richard Wetherbee
Journal:  Prog Mol Subcell Biol       Date:  2003

3.  Q-Gene: processing quantitative real-time RT-PCR data.

Authors:  Perikles Simon
Journal:  Bioinformatics       Date:  2003-07-22       Impact factor: 6.937

4.  Open source clustering software.

Authors:  M J L de Hoon; S Imoto; J Nolan; S Miyano
Journal:  Bioinformatics       Date:  2004-02-10       Impact factor: 6.937

5.  Analysis of Thalassiosira pseudonana silicon transporters indicates distinct regulatory levels and transport activity through the cell cycle.

Authors:  Kimberlee Thamatrakoln; Mark Hildebrand
Journal:  Eukaryot Cell       Date:  2006-12-15

6.  Prediction of error associated with false-positive rate determination for peptide identification in large-scale proteomics experiments using a combined reverse and forward peptide sequence database strategy.

Authors:  Edward L Huttlin; Adrian D Hegeman; Amy C Harms; Michael R Sussman
Journal:  J Proteome Res       Date:  2007-01       Impact factor: 4.466

Review 7.  Mesoscale iron enrichment experiments 1993-2005: synthesis and future directions.

Authors:  P W Boyd; T Jickells; C S Law; S Blain; E A Boyle; K O Buesseler; K H Coale; J J Cullen; H J W de Baar; M Follows; M Harvey; C Lancelot; M Levasseur; N P J Owens; R Pollard; R B Rivkin; J Sarmiento; V Schoemann; V Smetacek; S Takeda; A Tsuda; S Turner; A J Watson
Journal:  Science       Date:  2007-02-02       Impact factor: 47.728

8.  Comparison of the consensus sequence flanking translational start sites in Drosophila and vertebrates.

Authors:  D R Cavener
Journal:  Nucleic Acids Res       Date:  1987-02-25       Impact factor: 16.971

9.  InterProScan: protein domains identifier.

Authors:  E Quevillon; V Silventoinen; S Pillai; N Harte; N Mulder; R Apweiler; R Lopez
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

10.  A two-sample Bayesian t-test for microarray data.

Authors:  Richard J Fox; Matthew W Dimmic
Journal:  BMC Bioinformatics       Date:  2006-03-10       Impact factor: 3.169

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  76 in total

1.  Quantitative 3D elemental microtomography of Cyclotella meneghiniana at 400-nm resolution.

Authors:  Martin D de Jonge; Christian Holzner; Stephen B Baines; Benjamin S Twining; Konstantin Ignatyev; Julia Diaz; Daryl L Howard; Daniel Legnini; Antonino Miceli; Ian McNulty; Chris J Jacobsen; Stefan Vogt
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-18       Impact factor: 11.205

2.  The response of diatom central carbon metabolism to nitrogen starvation is different from that of green algae and higher plants.

Authors:  Nicola Louise Hockin; Thomas Mock; Francis Mulholland; Stanislav Kopriva; Gill Malin
Journal:  Plant Physiol       Date:  2011-11-07       Impact factor: 8.340

3.  Mining the diatom genome for the mechanism of biosilicification.

Authors:  Mark A Brzezinski
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-29       Impact factor: 11.205

4.  Microbial oceanography in a sea of opportunity.

Authors:  Chris Bowler; David M Karl; Rita R Colwell
Journal:  Nature       Date:  2009-05-14       Impact factor: 49.962

Review 5.  The life of diatoms in the world's oceans.

Authors:  E Virginia Armbrust
Journal:  Nature       Date:  2009-05-14       Impact factor: 49.962

6.  A comparative study of iron uptake mechanisms in marine microalgae: iron binding at the cell surface is a critical step.

Authors:  Robert Sutak; Hugo Botebol; Pierre-Louis Blaiseau; Thibaut Léger; François-Yves Bouget; Jean-Michel Camadro; Emmanuel Lesuisse
Journal:  Plant Physiol       Date:  2012-10-02       Impact factor: 8.340

7.  Positive selection within a diatom species acts on putative protein interactions and transcriptional regulation.

Authors:  Julie A Koester; Willie J Swanson; E Virginia Armbrust
Journal:  Mol Biol Evol       Date:  2012-10-23       Impact factor: 16.240

8.  Dynamic probe selection for studying microbial transcriptome with high-density genomic tiling microarrays.

Authors:  Hedda Høvik; Tsute Chen
Journal:  BMC Bioinformatics       Date:  2010-02-09       Impact factor: 3.169

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.  Gene silencing in the marine diatom Phaeodactylum tricornutum.

Authors:  Valentina De Riso; Raffaella Raniello; Florian Maumus; Alessandra Rogato; Chris Bowler; Angela Falciatore
Journal:  Nucleic Acids Res       Date:  2009-05-31       Impact factor: 16.971

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