ArticleMetabolic engineering2019
Predicting the metabolic capabilities of Synechococcus elongatus PCC 7942 adapted to different light regimes.
Article in Metabolic engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 45 citations in OpenAlex.
- Intrinsic period stability of the cyanobacterial circadian oscillator across in vitro and in vivo conditions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mangrove cyanobacterial diversity as a source of bioactive natural products.Current research in microbial sciences · 2026Article
- Pseudomonas putida as saviour for troubled Synechococcus elongatus in a synthetic co-culture - interaction studies based on a multi-OMICs approach.Communications biology · 2024Article
- Tuning transcription factor DegU for developing extracellular protease overproducer in Bacillus pumilus.Microbial cell factories · 2023Article
- Predicting partner fitness based on spatial structuring in a light-driven microbial community.PLoS computational biology · 2023Article
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- Highlighting the potential ofFrontiers in microbiology · 2023Article
- Integration of physiologically relevant photosynthetic energy flows into whole genome models of light-driven metabolism.The Plant journal : for cell and molecular biology · 2022Article
- On the rate of phytoplankton respiration in the light.Plant physiology · 2022Article
- Combining metabolite doping and metabolic engineering to improve 2-phenylethanol production by engineered cyanobacteria.Frontiers in bioengineering and biotechnology · 2022Article
- Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacteriumSTAR protocols · 2021Article
- Article
- Genetic, Genomics, and Responses to Stresses in Cyanobacteria: Biotechnological Implications.Genes · 2021Review
- Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced COFrontiers in microbiology · 2021Article
- Metabolic rewiring of synthetic pyruvate dehydrogenase bypasses for acetone production in cyanobacteria.Plant biotechnology journal · 2020Article
- Enhanced succinic acid production by Mannheimia employing optimal malate dehydrogenase.Nature communications · 2020Article
- Genome-Scale Metabolic Reconstruction andBiology · 2020Article
- Emerging Species and Genome Editing Tools: Future Prospects in Cyanobacterial Synthetic Biology.Microorganisms · 2019Review
- Model validation and selection in metabolic flux analysis and flux balance analysis.Biotechnology progressReview
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
There is great interest in engineering photoautotrophic metabolism to generate bioproducts of societal importance. Despite the success in employing genome-scale modeling coupled with flux balance analysis to engineer heterotrophic metabolism, the lack of proper constraints necessary to generate biologically realistic predictions has hindered broad application of this methodology to phototrophic metabolism. Here we describe a methodology for constraining genome-scale models of photoautotrophy in the cyanobacteria Synechococcus elongatus PCC 7942. Experimental photophysiology parameters coupled to genome-scale flux balance analysis resulted in accurate predictions of growth rates and metabolic reaction fluxes at low and high light conditions. Additionally, by constraining photon uptake fluxes, we characterized the metabolic cost of excess excitation energy. The predicted energy fluxes were consistent with known light-adapted phenotypes in cyanobacteria. Finally, we leveraged the modeling framework to characterize existing photoautotrophic and photomixtotrophic engineering strategies for 2,3-butanediol production in S. elongatus. This methodology, applicable to genome-scale modeling of all phototrophic microorganisms, can facilitate the use of flux balance analysis in the engineering of light-driven metabolism.
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Registered trials
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.