Evidence map›Paper›PMID 31335140›Full record

ArticleJournal of natural products2019

Minimizing Taxonomic and Natural Product Redundancy in Microbial Libraries Using MALDI-TOF MS and the Bioinformatics Pipeline IDBac.

Maria S Costa, Chase M Clark, Sesselja Ómarsdóttir, Laura M Sanchez, Brian T Murphy

Open access · greenAbstract read
In one paragraph

Article in Journal of natural products, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  9. Rationally Minimizing Natural Product Libraries Using Mass Spectrometry.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
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  15. Metabolomics on the study of marine organisms.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  16. Article
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  19. 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

5 authors at 2 institutions in 2 countries.

Maria S CostaFaculty of Pharmaceutical Sciences , University of Iceland , Hagi, Hofsvallagata 53 , IS-107 Reykjavík , Iceland.
Chase M ClarkDepartment of Pharmaceutical Sciences, College of Pharmacy , University of Illinois at Chicago , 833 South Wood Street (MC 781), Room 539 , Chicago , Illinois 60607 , United States.
Sesselja ÓmarsdóttirFaculty of Pharmaceutical Sciences , University of Iceland , Hagi, Hofsvallagata 53 , IS-107 Reykjavík , Iceland.
Laura M SanchezDepartment of Pharmaceutical Sciences, College of Pharmacy , University of Illinois at Chicago , 833 South Wood Street (MC 781), Room 539 , Chicago , Illinois 60607 , United States.ORCID 0000-0001-9223-7977
Brian T MurphyDepartment of Pharmaceutical Sciences, College of Pharmacy , University of Illinois at Chicago , 833 South Wood Street (MC 781), Room 539 , Chicago , Illinois 60607 , United States.ORCID 0000-0002-1372-3887
University of Illinois Chicago · USUniversity of Iceland · IS

Funding

MALDI-TOF MS/IDBac to discover antibiotics from the Great Lakes sponge microbiomeR01GM125943 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MURPHY, BRIAN THACHER, SANCHEZ, LAURA MARGARET · 2018 to 2021
$2.1M
A New Paradigm in Developing Microbial Libraries for Drug DiscoveryF31AT010419 · NCCIH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CLARK, CHASE MADISON · 2019 to 2020
$91k
NCCIH NIH HHS F31 AT010419NIGMS NIH HHS R01 GM125943
6 · The paper itself

Abstract

Libraries of microorganisms have been a cornerstone of drug discovery efforts since the mid-1950s, but strain duplication in some libraries has resulted in unwanted natural product redundancy. In the current study, we implemented a workflow that minimizes both the natural product overlap and the total number of bacterial isolates in a library. Using a collection expedition to Iceland as an example, we purified every distinct bacterial colony off isolation plates derived from 86 environmental samples. We employed our mass spectrometry (MS)-based IDBac workflow on these isolates to form groups of taxa based on protein MS fingerprints (3-15 kDa) and further distinguished taxa subgroups based on their degree of overlap within corresponding natural product spectra (0.2-2 kDa). This informed the decision to create a library of 301 isolates spanning 54 genera. This process required only 25 h of data acquisition and 2 h of analysis. In a separate experiment, we reduced the size of an existing library based on the degree of metabolic overlap observed in natural product MS spectra of bacterial colonies (from 833 to 233 isolates, a 72.0% size reduction). Overall, our pipeline allows for a significant reduction in costs associated with library generation and minimizes natural product redundancy entering into downstream biological screening efforts.

Indexed as

Computational BiologyBacteriaBiological ProductsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiological Products

Identifiers

PMID31335140
PMCPMC7197193
OpenAlexW2963856863

What OpenQuestion holds

Textmetadata
LicenceTDM
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.