Display options
Cite
Levering J, Dupont CL, Allen AE, et al. Integrated Regulatory and Metabolic Networks of the Marine Diatom . mSystems. 2017;2(1)doi: 10.1128/mSystems.00142-16.
Levering, J., Dupont, C. L., Allen, A. E., Palsson, B. O., & Zengler, K. (2017). Integrated Regulatory and Metabolic Networks of the Marine Diatom . mSystems, 2(1), . https://doi.org/10.1128/mSystems.00142-16
Levering, Jennifer, et al. "Integrated Regulatory and Metabolic Networks of the Marine Diatom ." mSystems vol. 2,1 (2017). doi: https://doi.org/10.1128/mSystems.00142-16
Levering J, Dupont CL, Allen AE, Palsson BO, Zengler K. Integrated Regulatory and Metabolic Networks of the Marine Diatom . mSystems. 2017 Feb 14;2(1). doi: 10.1128/mSystems.00142-16. eCollection 2017. PMID: 28217746; PMCID: PMC5309336.
Copy Download .nbib Format: NLM
Share it on

mSystems. 2017 Feb 14;2(1). doi: 10.1128/mSystems.00142-16. eCollection 2017.

Integrated Regulatory and Metabolic Networks of the Marine Diatom .

mSystems

Jennifer Levering, Christopher L Dupont, Andrew E Allen, Bernhard O Palsson, Karsten Zengler

Affiliations

  1. Department of Bioengineering, University of California San Diego, La Jolla, California, USA.
  2. Microbial and Environmental Genomics, J. Craig Venter Institute, La Jolla, California, USA.
  3. Microbial and Environmental Genomics, J. Craig Venter Institute, La Jolla, California, USA; Integrative Oceanography Division, Scripps Institute of Oceanography, University of California San Diego, La Jolla, California, USA.

PMID: 28217746 PMCID: PMC5309336 DOI: 10.1128/mSystems.00142-16

Abstract

Diatoms are eukaryotic microalgae that are responsible for up to 40% of the ocean's primary productivity. How diatoms respond to environmental perturbations such as elevated carbon concentrations in the atmosphere is currently poorly understood. We developed a transcriptional regulatory network based on various transcriptome sequencing expression libraries for different environmental responses to gain insight into the marine diatom's metabolic and regulatory interactions and provide a comprehensive framework of responses to increasing atmospheric carbon levels. This transcriptional regulatory network was integrated with a recently published genome-scale metabolic model of

Keywords: Phaeodactylum tricornutum; coregulated genes; genome-scale metabolic network reconstruction; integrated network modeling; regulatory network inference

References

  1. Curr Opin Plant Biol. 2016 Jun;31:51-7 - PubMed
  2. Curr Opin Biotechnol. 2012 Aug;23(4):617-23 - PubMed
  3. PLoS One. 2014 Feb 14;9(2):e86587 - PubMed
  4. Nucleic Acids Res. 2015 Jan;43(Database issue):D447-52 - PubMed
  5. Genome Biol. 2010;11(10):R106 - PubMed
  6. Mol Genet Genomics. 2007 Apr;277(4):427-39 - PubMed
  7. Nucleic Acids Res. 2015 Jul 27;43(13):e87 - PubMed
  8. Nature. 2015 Aug 20;524(7565):366-9 - PubMed
  9. Plant Biotechnol J. 2015 May;13(4):460-70 - PubMed
  10. Nat Rev Microbiol. 2012 Feb 27;10(4):291-305 - PubMed
  11. Gene. 2011 May 1;476(1-2):20-6 - PubMed
  12. Nucleic Acids Res. 2015 Apr 20;43(7):e47 - PubMed
  13. Nat Protoc. 2011 Aug 04;6(9):1290-307 - PubMed
  14. Biostatistics. 2007 Jan;8(1):118-27 - PubMed
  15. BMC Bioinformatics. 2006 Jun 02;7:280 - PubMed
  16. PLoS One. 2016 May 06;11(5):e0155038 - PubMed
  17. Ann Rev Mar Sci. 2010;2:333-65 - PubMed
  18. Nat Biotechnol. 2010 Mar;28(3):245-8 - PubMed
  19. New Phytol. 2010 Oct;188(1):52-66 - PubMed
  20. Genome Biol. 2006;7(5):R36 - PubMed
  21. Nature. 2003 Sep 25;425(6956):365 - PubMed

Publication Types