Evidence map›Paper›PMID 19829693›Full record

ArticlePloS one2009

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

Guillaume Sapriel, Michelle Quinet, Marc Heijde, Laurent Jourdren, Véronique Tanty, Guangzuo Luo, Stéphane Le Crom, Pascal Jean Lopez

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 114 citations in OpenAlex.

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  12. Response of COPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
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  15. The Evolution of Silicon Transport in Eukaryotes.Molecular biology and evolution · 2016
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Guillaume SaprielBiomineralization and Morphogenesis Group, CNRS UMR-8186, Ecole Normale Supérieure, Paris, France.
Michelle Quinet
Marc Heijde
Laurent Jourdren
Véronique Tanty
Guangzuo Luo
Stéphane Le Crom
Pascal Jean Lopez
Centre National de la Recherche Scientifique · FRÉcole Normale Supérieure - PSL · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiatoms are largely responsible for production of biogenic silica in the global ocean. However, in surface seawater, Si(OH)(4) can be a major limiting factor for diatom productivity. Analyzing at the global scale the genes networks involved in Si transport and metabolism is critical in order to elucidate Si biomineralization, and to understand diatoms contribution to biogeochemical cycles. METHODOLOGY/PRINCIPAL

findingsUsing whole genome expression analyses we evaluated the transcriptional response to Si availability for the model species Phaeodactylum tricornutum. Among the differentially regulated genes we found genes involved in glutamine-nitrogen pathways, encoding putative extracellular matrix components, or involved in iron regulation. Some of these compounds may be good candidates for intracellular intermediates involved in silicic acid storage and/or intracellular transport, which are very important processes that remain mysterious in diatoms. Expression analyses and localization studies gave the first picture of the spatial distribution of a silicic acid transporter in a diatom model species, and support the existence of transcriptional and post-transcriptional regulations. CONCLUSIONS/SIGNIFICANCE: Our global analyses revealed that about one fourth of the differentially expressed genes are organized in clusters, underlying a possible evolution of P. tricornutum genome, and perhaps other pennate diatoms, toward a better optimization of its response to variable environmental stimuli. High fitness and adaptation of diatoms to various Si levels in marine environments might arise in part by global regulations from gene (expression level) to genomic (organization in clusters, dosage compensation by gene duplication), and by post-transcriptional regulation and spatial distribution of SIT proteins.

Indexed as

Biological TransportGene Expression ProfilingGene Expression RegulationGenomeAmino Acid SequenceCluster AnalysisDiatomsGenome-Wide Association StudyModels, BiologicalMolecular Sequence DataOpen Reading FramesSequence Homology, Amino AcidSilicic AcidSiliconSilicic AcidSilicon

Identifiers

PMID19829693
PMCPMC2758714
OpenAlexW1964638276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.