Evidence map›Paper›PMID 27152931›Full record

ArticlePloS one2016

Genome-Scale Model Reveals Metabolic Basis of Biomass Partitioning in a Model Diatom.

Jennifer Levering, Jared Broddrick, Christopher L Dupont, Graham Peers, Karen Beeri, Joshua Mayers, Alessandra A Gallina, Andrew E Allen, Bernhard O Palsson, Karsten Zengler

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. Review
  3. Marine drugs · 2026
    Review
  4. Diatom triacylglycerol metabolism: from carbon fixation to lipid droplet degradation.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  5. Unveiling organ-specific metabolism ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Comparison of twoFrontiers in plant science · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Phylogenomic fingerprinting of tempo and functions of horizontal gene transfer within ochrophytes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Article
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

10 authors at 4 institutions in 2 countries.

Jennifer LeveringDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-8491-9337
Jared BroddrickDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
Christopher L DupontJ. Craig Venter Institute, La Jolla, California, United States of America.
Graham PeersDepartment of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
Karen BeeriJ. Craig Venter Institute, La Jolla, California, United States of America.
Joshua MayersDivision of Industrial Biotechnology, Department of Biology and Biotechnology, Chalmers University of Technology, Gothenburg, Sweden.
Alessandra A GallinaDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
Andrew E AllenJ. Craig Venter Institute, La Jolla, California, United States of America.
Bernhard O PalssonDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
Karsten ZenglerDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
University of California San Diego · USJ. Craig Venter Institute · USChalmers University of Technology · SEColorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diatoms are eukaryotic microalgae that contain genes from various sources, including bacteria and the secondary endosymbiotic host. Due to this unique combination of genes, diatoms are taxonomically and functionally distinct from other algae and vascular plants and confer novel metabolic capabilities. Based on the genome annotation, we performed a genome-scale metabolic network reconstruction for the marine diatom Phaeodactylum tricornutum. Due to their endosymbiotic origin, diatoms possess a complex chloroplast structure which complicates the prediction of subcellular protein localization. Based on previous work we implemented a pipeline that exploits a series of bioinformatics tools to predict protein localization. The manually curated reconstructed metabolic network iLB1027_lipid accounts for 1,027 genes associated with 4,456 reactions and 2,172 metabolites distributed across six compartments. To constrain the genome-scale model, we determined the organism specific biomass composition in terms of lipids, carbohydrates, and proteins using Fourier transform infrared spectrometry. Our simulations indicate the presence of a yet unknown glutamine-ornithine shunt that could be used to transfer reducing equivalents generated by photosynthesis to the mitochondria. The model reflects the known biochemical composition of P. tricornutum in defined culture conditions and enables metabolic engineering strategies to improve the use of P. tricornutum for biotechnological applications.

Indexed as

BiomassGenomeModels, BiologicalDiatomsMitochondriaPlastidsSubcellular Fractions

Identifiers

PMID27152931
PMCPMC4859558
OpenAlexW2346689092

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.