Cited by 18Microbial Metabolic Engineering and BioproductionAlgal biology and biofuel productionPlant biochemistry and biosynthesis

Introduction of NADH-dependent nitrate assimilation in Synechococcus sp. PCC 7002 improves photosynthetic production of 2-methyl-1-butanol and isobutanol

Open access
Purdy, Hugh M., Pfleger, Brian F., Reed, Jennifer L.·2022·Metabolic Engineering

Abstract

Cyanobacteria hold promise for renewable chemical production due to their photosynthetic nature, but engineered strains frequently display poor production characteristics. These difficulties likely arise in part due to the distinctive photoautotrophic metabolism of cyanobacteria. In this work, we apply a genome-scale metabolic model of the cyanobacteria Synechococus sp. PCC 7002 to identify strain designs accounting for this unique metabolism that are predicted to improve the production of various biofuel alcohols (e.g. 2-methyl-1-butanol, isobutanol, and 1-butanol) synthesized via an engineered biosynthesis pathway. Using the model, we identify that the introduction of a large, non-native NADH-demand into PCC 7002's metabolic network is predicted to enhance production of these alcohols by promoting NADH-generating reactions upstream of the production pathways. To test this, we construct strains of PCC 7002 that utilize a heterologous, NADH-dependent nitrite reductase in place of the native, ferredoxin-dependent enzyme to create an NADH-demand in the cells when grown on nitrate-containing media. We find that photosynthetic production of both isobutanol and 2-methyl-1-butanol is significantly improved in the engineered strain background relative to that in a wild-type background. We additionally identify that the use of high-nutrient media leads to a substantial prolongment of the production curve in our alcohol production strains. The metabolic engineering strategy identified and tested in this work presents a novel approach to engineer cyanobacterial production strains that takes advantage of a unique aspect of their metabolism and serves as a basis on which to further develop strains with improved production of these alcohols and related products.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ymben.2021.11.003

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Under optimal laboratory conditions, Synechococcus sp. PCC 7002 can attain higher biomass productivity than several commonly used cyanobacterial hosts.

    “Under optimal laboratory conditions, this strain can attain higher biomass productivity than several commonly used cyanobacterial hosts, thereby enhancing its potential for industrial biotechnology applications [64,66].”

    From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [66]

    The Introduction (page unavailable) describes PCC 7002 as fast-growing and robust, and says it can grow at temperatures and salinities beyond those tolerated by most other model cyanobacteria. It does not establish that PCC 7002 has higher biomass productivity than several commonly used hosts under optimal laboratory conditions. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Synechococcus sp. PCC 7002 has a comparatively rapid growth rate compared with other cyanobacteria used in metabolic engineering.

    “A significant advantage of Synechococcus sp. PCC 7002 is its comparatively rapid growth rate compared with other cyanobacteria used in metabolic engineering.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Purdy, H. M., Pfleger, B. F., & Reed, J. L.
Affiliations
  • University of Wisconsin System (US)
  • University of Wisconsin–Madison (US)
Corresponding author
Pfleger, Brian F.
Venue
Metabolic Engineering
Publisher
Elsevier BV
Published
2022-01
Volume
69
Pages
87-97
ISSN
1096-7176 (ISSN-L)
OpenAlex
W3211861582
Cited by
18
References
54
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 7 · 2022: 6
FWCI
1.18
Type
journal article
Language
en
Open access
Locations
  • Metabolic Engineering (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • US Department of Energy (DE-SC0008103)
  • National Institutes of Health (T32 HG002760)
  • Biological and Environmental Research
  • Office of Science
  • College of Engineering, University of Wisconsin-Madison (T32 HG002760)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
Keywords
Synechococcus sp. PCC 7002, cyanobacteria, 2-methyl-1-butanol, isobutanol, n-butanol, genome-scale metabolic models
MeSH terms
Butanols, NAD, Nitrates, 1-Butanol, Synechococcus

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review