Evidence map›Paper›PMID 27372244›Full record

ArticlePlant physiology2016

Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions.

Cristal Zuñiga, Chien-Ting Li, Tyler Huelsman, Jennifer Levering, Daniel C Zielinski, Brian O McConnell, Christopher P Long, Eric P Knoshaug, Michael T Guarnieri, Maciek R Antoniewicz and 2 more

Abstract read
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In one paragraph

Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Review
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  13. Metabolic network reconstruction ofFrontiers in microbiology · 2023
    Review
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  15. Article
  16. Article
  17. Review
  18. Article
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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

12 authors.

Cristal ZuñigaDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).
Chien-Ting LiDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).
Tyler HuelsmanDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0003-3111-3510
Jennifer LeveringDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0001-8491-9337
Daniel C ZielinskiDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).
Brian O McConnellDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0002-7418-4813
Christopher P LongDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0003-1007-417X
Eric P KnoshaugDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0002-5709-914X
Michael T GuarnieriDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).
Maciek R AntoniewiczDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).
Michael J BetenbaughDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.).ORCID 0000-0002-6336-4659
Karsten ZenglerDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412 (C.Z., T.H., J.L., D.C.Z., K.Z.);Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218 (C.-T.L., M.J.B.);Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware 19716 (B.O.M., C.P.L., M.R.A.); andNational Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401 (E.P.K., M.T.G.) kzengler@ucsd.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The green microalga Chlorella vulgaris has been widely recognized as a promising candidate for biofuel production due to its ability to store high lipid content and its natural metabolic versatility. Compartmentalized genome-scale metabolic models constructed from genome sequences enable quantitative insight into the transport and metabolism of compounds within a target organism. These metabolic models have long been utilized to generate optimized design strategies for an improved production process. Here, we describe the reconstruction, validation, and application of a genome-scale metabolic model for C. vulgaris UTEX 395, iCZ843. The reconstruction represents the most comprehensive model for any eukaryotic photosynthetic organism to date, based on the genome size and number of genes in the reconstruction. The highly curated model accurately predicts phenotypes under photoautotrophic, heterotrophic, and mixotrophic conditions. The model was validated against experimental data and lays the foundation for model-driven strain design and medium alteration to improve yield. Calculated flux distributions under different trophic conditions show that a number of key pathways are affected by nitrogen starvation conditions, including central carbon metabolism and amino acid, nucleotide, and pigment biosynthetic pathways. Furthermore, model prediction of growth rates under various medium compositions and subsequent experimental validation showed an increased growth rate with the addition of tryptophan and methionine.

Indexed as

BiomassModels, BiologicalAmino AcidsAutotrophic ProcessesCarbonChlorella vulgarisGenome, PlantHeterotrophic ProcessesMetabolic Networks and PathwaysMicroalgaePigments, BiologicalAmino AcidsCarbonPigments, Biological

Identifiers

PMID27372244
PMCPMC5074608

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