Evidence map›Paper›PMID 38030603›Full record

ArticleNature communications2023

Resurrecting ancestral antibiotics: unveiling the origins of modern lipid II targeting glycopeptides.

Mathias H Hansen, Martina Adamek, Dumitrita Iftime, Daniel Petras, Frauke Schuseil, Stephanie Grond, Evi Stegmann, Max J Cryle, Nadine Ziemert

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
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

16 citing papers in PubMed, 35 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Mathias H Hansen *Department of Biochemistry and Molecular Biology, The Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.ORCID 0000-0003-4746-8519
Martina Adamek *Interfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany.ORCID 0000-0003-4705-9993
Dumitrita Iftime *Interfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany.
Daniel PetrasInterfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany.
Frauke SchuseilInterfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany.ORCID 0000-0002-5842-790X
Stephanie GrondInstitute of Organic Chemistry, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-7549-4936
Evi StegmannInterfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany. evi.stegmann@biotech.uni-tuebingen.de.ORCID 0000-0002-1017-5459
Max J CryleDepartment of Biochemistry and Molecular Biology, The Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia. max.cryle@monash.edu.ORCID 0000-0002-9739-6157
Nadine ZiemertInterfaculty Institute of Microbiology and Infection Medicine Tübingen, Cluster of Excellence 'Controlling Microbes to Fight Infections', University of Tübingen, Tübingen, Germany. nadine.ziemert@uni-tuebingen.de.ORCID 0000-0002-7264-1857
University of Tübingen · DEGerman Center for Infection Research · DEAustralian Regenerative Medicine Institute · AUDiscovery Institute · US

Funding

Department of Education and Training | Australian Research Council (ARC) CE200100012Deutsche Forschungsgemeinschaft (German Research Foundation) 390838134
6 · The paper itself

Abstract

Antibiotics are central to modern medicine, and yet they are mainly the products of intra and inter-kingdom evolutionary warfare. To understand how nature evolves antibiotics around a common mechanism of action, we investigated the origins of an extremely valuable class of compounds, lipid II targeting glycopeptide antibiotics (GPAs, exemplified by teicoplanin and vancomycin), which are used as last resort for the treatment of antibiotic resistant bacterial infections. Using a molecule-centred approach and computational techniques, we first predicted the nonribosomal peptide synthetase assembly line of paleomycin, the ancestral parent of lipid II targeting GPAs. Subsequently, we employed synthetic biology techniques to produce the predicted peptide and validated its antibiotic activity. We revealed the structure of paleomycin, which enabled us to address how nature morphs a peptide antibiotic scaffold through evolution. In doing so, we obtained temporal snapshots of key selection domains in nonribosomal peptide synthesis during the biosynthetic journey from ancestral, teicoplanin-like GPAs to modern GPAs such as vancomycin. Our study demonstrates the synergy of computational techniques and synthetic biology approaches enabling us to journey back in time, trace the temporal evolution of antibiotics, and revive these ancestral molecules. It also reveals the optimisation strategies nature has applied to evolve modern GPAs, laying the foundation for future efforts to engineer this important class of antimicrobial agents.

Indexed as

Anti-Bacterial AgentsGlycopeptidesPeptidesTeicoplaninUridine Diphosphate N-Acetylmuramic AcidVancomycinAnti-Bacterial AgentsGlycopeptidesmuramyl-NAc-(pentapeptide)pyrophosphoryl-undecaprenolPeptidesTeicoplaninUridine Diphosphate N-Acetylmuramic AcidVancomycin

Identifiers

PMID38030603
PMCPMC10687080
OpenAlexW4389140097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.