Evidence map›Paper›PMID 29871954›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Directed evolution of multiple genomic loci allows the prediction of antibiotic resistance.

Ákos Nyerges, Bálint Csörgő, Gábor Draskovits, Bálint Kintses, Petra Szili, Györgyi Ferenc, Tamás Révész, Eszter Ari, István Nagy, Balázs Bálint and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 99 citations in OpenAlex.

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  11. Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024
    Article
  12. Review
  13. Interactions between Gepotidacin andACS infectious diseases · 2024
    Article
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  15. Review
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  20. ACS synthetic biology · 2023
    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

18 authors at 5 institutions in 2 countries.

Ákos NyergesSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary; nyerges.akos@brc.mta.hu pal.csaba@brc.mta.hu.ORCID 0000-0002-1581-490X
Bálint CsörgőSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Gábor DraskovitsSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Bálint KintsesSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Petra SziliSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Györgyi FerencNucleic Acid Synthesis Laboratory, Institute of Plant Biology, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Tamás RévészSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Eszter AriSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
István NagySequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.ORCID 0000-0003-2528-9173
Balázs BálintSequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.ORCID 0000-0002-5102-0787
Bálint Márk VásárhelyiSequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
Péter BihariSequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
Mónika SzámelSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Dávid BaloghSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Henrietta PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Dorottya KalapisSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Balázs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Csaba PálSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary; nyerges.akos@brc.mta.hu pal.csaba@brc.mta.hu.
HUN-REN Szegedi Biológiai Kutatóközpont · HUSeqOmics Biotechnology (Hungary) · HUUniversity of Szeged · HUEmory University · USEötvös Loránd University · HU

Funding

European Research Council 648364Wellcome Trust 084314
6 · The paper itself

Abstract

Antibiotic development is frequently plagued by the rapid emergence of drug resistance. However, assessing the risk of resistance development in the preclinical stage is difficult. Standard laboratory evolution approaches explore only a small fraction of the sequence space and fail to identify exceedingly rare resistance mutations and combinations thereof. Therefore, new rapid and exhaustive methods are needed to accurately assess the potential of resistance evolution and uncover the underlying mutational mechanisms. Here, we introduce directed evolution with random genomic mutations (DIvERGE), a method that allows an up to million-fold increase in mutation rate along the full lengths of multiple predefined loci in a range of bacterial species. In a single day, DIvERGE generated specific mutation combinations, yielding clinically significant resistance against trimethoprim and ciprofloxacin. Many of these mutations have remained previously undetected or provide resistance in a species-specific manner. These results indicate pathogen-specific resistance mechanisms and the necessity of future narrow-spectrum antibacterial treatments. In contrast to prior claims, we detected the rapid emergence of resistance against gepotidacin, a novel antibiotic currently in clinical trials. Based on these properties, DIvERGE could be applicable to identify less resistance-prone antibiotics at an early stage of drug development. Finally, we discuss potential future applications of DIvERGE in synthetic and evolutionary biology.

Indexed as

Anti-Bacterial AgentsBacteriaCiprofloxacinDrug Resistance, Multiple, BacterialEvolution, MolecularGenetic LociGenome, BacterialGenomicsMutationMutation RateTrimethoprimAnti-Bacterial AgentsCiprofloxacinTrimethoprimantimicrobial resistancedirected evolutionhigh-throughput mutagenesismultiplex automated genome engineering

Identifiers

PMID29871954
PMCPMC6016788
OpenAlexW2807173586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.