Evidence map›Paper›PMID 28806958›Full record

ArticleMicrobial cell factories2017

Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways.

Konstantinos Vavitsas, Emil Østergaard Rue, Lára Kristín Stefánsdóttir, Thiyagarajan Gnanasekaran, Andreas Blennow, Christoph Crocoll, Steinn Gudmundsson, Poul Erik Jensen

Abstract read
In one paragraph

Article in Microbial cell factories, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. From pond to platform: howJournal of bacteriology · 2026
    Review
  3. Review
  4. Review
  5. Insights into cyanobacterial alkane biosynthesis.Journal of industrial microbiology & biotechnology · 2022
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. 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

8 authors.

Konstantinos VavitsasCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Emil Østergaard RueCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Lára Kristín StefánsdóttirCenter for Systems Biology, University of Iceland, Sturlugata 8, 101, Reykjavik, Iceland.
Thiyagarajan GnanasekaranCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Andreas BlennowCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Christoph CrocollCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark.
Steinn GudmundssonCenter for Systems Biology, University of Iceland, Sturlugata 8, 101, Reykjavik, Iceland.
Poul Erik JensenCopenhagen Plant Science Centre, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark. peje@plen.ku.dk.ORCID http://orcid.org/0000-0001-6524-7723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are an increasing number of studies regarding genetic manipulation of cyanobacteria to produce commercially interesting compounds. The majority of these works study the expression and optimization of a selected heterologous pathway, largely ignoring the wholeness and complexity of cellular metabolism. Regulation and response mechanisms are largely unknown, and even the metabolic pathways themselves are not fully elucidated. This poses a clear limitation in exploiting the rich biosynthetic potential of cyanobacteria.

resultsIn this work, we focused on the production of two different compounds, the cyanogenic glucoside dhurrin and the diterpenoid 13R-manoyl oxide in Synechocystis PCC 6803. We used genome-scale metabolic modelling to study fluxes in individual reactions and pathways, and we determined the concentrations of key metabolites, such as amino acids, carotenoids, and chlorophylls. This allowed us to identify metabolic crosstalk between the native and the introduced metabolic pathways. Most results and simulations highlight the metabolic robustness of cyanobacteria, suggesting that the host organism tends to keep metabolic fluxes and metabolite concentrations steady, counteracting the effects of the heterologous pathway. However, the amino acid concentrations of the dhurrin-producing strain show an unexpected profile, where the perturbation levels were high in seemingly unrelated metabolites.

conclusionsThere is a wealth of information that can be derived by combining targeted metabolite identification and computer modelling as a frame of understanding. Here we present an example of how strain engineering approaches can be coupled to 'traditional' metabolic engineering with systems biology, resulting in novel and more efficient manipulation strategies.

Indexed as

Amino AcidsCarotenoidsChromatography, High Pressure LiquidDiterpenesMass SpectrometryMetabolic EngineeringNitrilesOxygenSynechocystisAmino AcidsCarotenoidsdhurrinDiterpenesmanoyl oxideNitrilesOxygenAmino acidsCyanobacteriaMetabolic modellingMetabolismTerpenoids

Identifiers

PMID28806958
PMCPMC5556357

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.