Evidence map›Paper›PMID 33082347›Full record

ReviewNature communications2020

Exploring the synthetic biology potential of bacteriophages for engineering non-model bacteria.

Eveline-Marie Lammens, Pablo Ivan Nikel, Rob Lavigne

Abstract readReview
In one paragraph

Review in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Review
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  7. Review
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  9. Article
  10. Fold first, ask later: structure-informed function annotation ofbioRxiv : the preprint server for biology · 2025
    Article
  11. [Basic knowledge of phages and their therapeutic application].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Article
  12. Article
  13. Leveraging EngineeredACS synthetic biology · 2025
    Article
  14. Disentangling the Regulatory Response ofACS synthetic biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Characterization of selected phages for biocontrol of food-spoilage pseudomonads.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Article
  19. Article
  20. 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

3 authors.

Eveline-Marie LammensDepartment of Biosystems, Laboratory of Gene Technology, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001, Leuven, BE, Belgium.ORCID 0000-0002-4946-4469
Pablo Ivan NikelThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs, Lyngby, DK, Denmark.ORCID 0000-0002-9313-7481
Rob LavigneDepartment of Biosystems, Laboratory of Gene Technology, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001, Leuven, BE, Belgium. rob.lavigne@kuleuven.be.ORCID 0000-0001-7377-1314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-model bacteria like Pseudomonas putida, Lactococcus lactis and other species have unique and versatile metabolisms, offering unique opportunities for Synthetic Biology (SynBio). However, key genome editing and recombineering tools require optimization and large-scale multiplexing to unlock the full SynBio potential of these bacteria. In addition, the limited availability of a set of characterized, species-specific biological parts hampers the construction of reliable genetic circuitry. Mining of currently available, diverse bacteriophages could complete the SynBio toolbox, as they constitute an unexplored treasure trove for fully adapted metabolic modulators and orthogonally-functioning parts, driven by the longstanding co-evolution between phage and host.

Indexed as

Synthetic BiologyBacteriophagesGene EditingLactococcus lactisPseudomonas putida

Identifiers

PMID33082347
PMCPMC7576135

What OpenQuestion holds

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Registered trials

None linked

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.