Evidence map›Paper›PMID 27305972›Full record

ArticleNature communications2016

Direct evidence of the molecular basis for biological silicon transport.

Michael J Knight, Laura Senior, Bethany Nancolas, Sarah Ratcliffe, Paul Curnow

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 56 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Michael J KnightSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
Laura SeniorSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
Bethany NancolasSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
Sarah RatcliffeSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
Paul CurnowSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
University of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1European Research Council
6 · The paper itself

Abstract

Diatoms are an important group of eukaryotic algae with a curious evolutionary innovation: they sheath themselves in a cell wall made largely of silica. The cellular machinery responsible for silicification includes a family of membrane permeases that recognize and actively transport the soluble precursor of biosilica, silicic acid. However, the molecular basis of silicic acid transport remains obscure. Here, we identify experimentally tractable diatom silicic acid transporter (SIT) homologues and study their structure and function in vitro, enabled by the development of a new fluorescence method for studying substrate transport kinetics. We show that recombinant SITs are Na(+)/silicic acid symporters with a 1:1 protein: substrate stoichiometry and KM for silicic acid of 20 μM. Protein mutagenesis supports the long-standing hypothesis that four conserved GXQ amino acid motifs are important in SIT function. This marks a step towards a detailed understanding of silicon transport with implications for biogeochemistry and bioinspired materials.

Indexed as

Amino Acid SequenceBiological EvolutionBiological TransportCarrier ProteinsCell WallCloning, MolecularDatabases, GeneticDiatomsGene ExpressionGenetic VectorsPhylogenyRecombinant ProteinsSaccharomyces cerevisiaeSequence AlignmentSequence Homology, Amino AcidSilicic AcidCarrier ProteinsRecombinant ProteinsSilicic AcidSiliconZinc AcetateZinc Sulfate

Identifiers

PMID27305972
PMCPMC4912633
OpenAlexW2432928770

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.