Evidence map›Paper›PMID 35608300›Full record

ArticlemBio2022

Harnessing Rare Actinomycete Interactions and Intrinsic Antimicrobial Resistance Enables Discovery of an Unusual Metabolic Inhibitor.

Dylan J McClung, Yongle Du, Dominic J Antonich, Bailey Bonet, Wenjun Zhang, Matthew F Traxler

Open access · goldAbstract read
In one paragraph

Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Natural product reports · 2023
    Review
  8. 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

6 authors at 1 institution in 1 country.

Dylan J McClungDepartment of Plant and Microbial Biology, University of California, Berkeleygrid.47840.3f, California, USA.ORCID 0000-0001-7053-2676
Yongle DuDepartment of Chemical and Biomolecular Engineering, University of California, Berkeleygrid.47840.3f, California, USA.
Dominic J AntonichDepartment of Plant and Microbial Biology, University of California, Berkeleygrid.47840.3f, California, USA.
Bailey BonetDepartment of Plant and Microbial Biology, University of California, Berkeleygrid.47840.3f, California, USA.
Wenjun ZhangDepartment of Chemical and Biomolecular Engineering, University of California, Berkeleygrid.47840.3f, California, USA.
Matthew F TraxlerDepartment of Plant and Microbial Biology, University of California, Berkeleygrid.47840.3f, California, USA.ORCID 0000-0001-8430-595X
University of California, Berkeley · US

Funding

Connecting specialized metabolism to social cues in actinomycete bacteriaR35GM128849 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Matthew F Traxler · 2018 to 2026
$3.3M
High Performance Computing Cluster for Public Health Driven Molecular Science - Core FacilityS10OD023532 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI DURKIN, KATHLEEN A · 2017 to 2017
$434k
NIGMS NIH HHS R35 GM128849NIH HHS S10 OD023532
6 · The paper itself

Abstract

Bacterial natural products have historically been a deep source of new medicines, but their slowed discovery in recent decades has put a premium on developing strategies that enhance the likelihood of capturing novel compounds. Here, we used a straightforward approach that capitalizes on the interactive ecology of "rare" actinomycetes. Specifically, we screened for interactions that triggered the production of antimicrobials that inhibited the growth of a bacterial strain with exceptionally diverse natural antimicrobial resistance. This strategy led to the discovery of a family of antimicrobials we term the dynaplanins. Heterologous expression enabled identification of the dynaplanin biosynthetic gene cluster, which was missed by typical algorithms for natural product gene cluster detection. Genome sequencing of partially resistant mutants revealed a 2-oxo acid dehydrogenase E2 subunit as the likely molecular target of the dynaplanins, and this finding was supported by computational modeling of the dynaplanin scaffold within the active site of this enzyme. Thus, this simple strategy, which leverages microbial interactions and natural antibiotic resistance, can enable discovery of molecules with unique antimicrobial activity. In addition, these results indicate that primary metabolism may be a direct target for inhibition via chemical interference in competitive microbial interactions.

Indexed as

ActinobacteriaBiological ProductsAnti-Bacterial AgentsBacteriaDrug Resistance, BacterialKeto AcidsAnti-Bacterial AgentsBiological ProductsKeto Acidsactinomycetesantimicrobial activitycomputational enzyme modelingmicrobial interactionsnatural productsspecialized metabolism

Identifiers

PMID35608300
PMCPMC9239090
OpenAlexW4282942938

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.