Evidence map›Paper›PMID 18183306›Full record

ArticlePloS one2008

A model for carbohydrate metabolism in the diatom Phaeodactylum tricornutum deduced from comparative whole genome analysis.

Peter G Kroth, Anthony Chiovitti, Ansgar Gruber, Veronique Martin-Jezequel, Thomas Mock, Micaela Schnitzler Parker, Michele S Stanley, Aaron Kaplan, Lise Caron, Till Weber and 3 more

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In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

166 citing papers in PubMed.

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106 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Peter G KrothFachbereich Biologie, University of Konstanz, Konstanz, Germany. Peter.Kroth@uni-konstanz.de
Anthony Chiovitti
Ansgar Gruber
Veronique Martin-Jezequel
Thomas Mock
Micaela Schnitzler Parker
Michele S Stanley
Aaron Kaplan
Lise Caron
Till Weber
Uma Maheswari
E Virginia Armbrust
Chris Bowler

Funding

Toxic AlgaeP50ES012762 · NIEHS · UNIVERSITY OF WASHINGTON · PI FAUSTMAN, ELAINE M · 2004 to 2009
$2.6M
NIEHS NIH HHS P50 ES012762
6 · The paper itself

Abstract

backgroundDiatoms are unicellular algae responsible for approximately 20% of global carbon fixation. Their evolution by secondary endocytobiosis resulted in a complex cellular structure and metabolism compared to algae with primary plastids. METHODOLOGY/PRINCIPAL

findingsThe whole genome sequence of the diatom Phaeodactylum tricornutum has recently been completed. We identified and annotated genes for enzymes involved in carbohydrate pathways based on extensive EST support and comparison to the whole genome sequence of a second diatom, Thalassiosira pseudonana. Protein localization to mitochondria was predicted based on identified similarities to mitochondrial localization motifs in other eukaryotes, whereas protein localization to plastids was based on the presence of signal peptide motifs in combination with plastid localization motifs previously shown to be required in diatoms. We identified genes potentially involved in a C4-like photosynthesis in P. tricornutum and, on the basis of sequence-based putative localization of relevant proteins, discuss possible differences in carbon concentrating mechanisms and CO(2) fixation between the two diatoms. We also identified genes encoding enzymes involved in photorespiration with one interesting exception: glycerate kinase was not found in either P. tricornutum or T. pseudonana. Various Calvin cycle enzymes were found in up to five different isoforms, distributed between plastids, mitochondria and the cytosol. Diatoms store energy either as lipids or as chrysolaminaran (a beta-1,3-glucan) outside of the plastids. We identified various beta-glucanases and large membrane-bound glucan synthases. Interestingly most of the glucanases appear to contain C-terminal anchor domains that may attach the enzymes to membranes. CONCLUSIONS/SIGNIFICANCE: Here we present a detailed synthesis of carbohydrate metabolism in diatoms based on the genome sequences of Thalassiosira pseudonana and Phaeodactylum tricornutum. This model provides novel insights into acquisition of dissolved inorganic carbon and primary metabolic pathways of carbon in two different diatoms, which is of significance for an improved understanding of global carbon cycles.

Indexed as

Carbohydrate MetabolismGenomeModels, BiologicalCarbon DioxideDiatomsCarbon Dioxide

Identifiers

PMID18183306
PMCPMC2173943

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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.