Evidence map›Paper›PMID 26434742›Full record

ReviewJournal of industrial microbiology & biotechnology2016

Leveraging ecological theory to guide natural product discovery.

Michael J Smanski, Daniel C Schlatter, Linda L Kinkel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  4. Metagenomic study of lake microbial mats reveals protease-inhibiting antiviral peptides from a core microbiome member.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Interaction ofFrontiers in pharmacology · 2024
    Article
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  16. Review
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  19. Gifted microbes for genome mining and natural product discovery.Journal of industrial microbiology & biotechnology · 2017
    Review
  20. Review
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.

Michael J SmanskiDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, Saint Paul, MN, 55108, USA. smanski@umn.edu.
Daniel C SchlatterDepartment of Plant Pathology, University of Minnesota-Twin Cities, Saint Paul, MN, 55108, USA. schl0453@umn.edu.
Linda L KinkelBioTechnology Institute, University of Minnesota-Twin Cities, Saint Paul, MN, 55108, USA. kinkel@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological improvements have accelerated natural product (NP) discovery and engineering to the point that systematic genome mining for new molecules is on the horizon. NP biosynthetic potential is not equally distributed across organisms, environments, or microbial life histories, but instead is enriched in a number of prolific clades. Also, NPs are not equally abundant in nature; some are quite common and others markedly rare. Armed with this knowledge, random 'fishing expeditions' for new NPs are increasingly harder to justify. Understanding the ecological and evolutionary pressures that drive the non-uniform distribution of NP biosynthesis provides a rational framework for the targeted isolation of strains enriched in new NP potential. Additionally, ecological theory leads to testable hypotheses regarding the roles of NPs in shaping ecosystems. Here we review several recent strain prioritization practices and discuss the ecological and evolutionary underpinnings for each. Finally, we offer perspectives on leveraging microbial ecology and evolutionary biology for future NP discovery.

Indexed as

Drug DiscoveryEcosystemMicrobial InteractionsAnimalsBiological ProductsHumansPhylogenyPhylogeographySymbiosisBiological ProductsArms raceBiogeographyCoevolutionCompetitionEndosymbiont

Identifiers

What OpenQuestion holds

Textmetadata
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.