Evidence map›Paper›PMID 35867425›Full record

ArticleMicrobiology spectrum2022

A Candidate Gene Cluster for the Bioactive Natural Product Gyrophoric Acid in Lichen-Forming Fungi.

Garima Singh, Anjuli Calchera, Dominik Merges, Henrique Valim, Jürgen Otte, Imke Schmitt, Francesco Dal Grande

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. 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
13.6field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

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  16. Biosynthetic Potential ofJournal of fungi (Basel, Switzerland) · 2023
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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

7 authors at 3 institutions in 2 countries.

Garima SinghSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.ORCID 0000-0003-3753-5431
Anjuli CalcheraSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Dominik MergesSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Henrique ValimSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Jürgen OtteSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Imke SchmittSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Francesco Dal GrandeSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Senckenberg Biodiversity and Climate Research Centre · DEUniversity of Padua · ITGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products of lichen-forming fungi are structurally diverse and have a variety of medicinal properties. Despite this, they have limited implementation in industry mostly because the corresponding genes are unknown for most of their natural products. Here, we implement a long-read sequencing and bioinformatic approach to identify the putative biosynthetic gene cluster of the bioactive natural product gyrophoric acid (GA). Using 15 high-quality genomes representing nine GA-producing species of the lichen-forming fungal genus

Indexed as

AscomycotaBiological ProductsLichensBenzoatesMultigene FamilyPhylogenyPolyketide SynthasesBenzoatesBiological Productsgyrophoric acidPolyketide Synthasesbiosynthetic genesdepsidesfungigenome mininggenomicslichen compoundslong-read sequencingmicrobial biotechnologynonreducing PKSspharmaceutically relevant natural productsPKS phylogenysecondary metabolitesUmbilicaria

Identifiers

PMID35867425
PMCPMC9430680
OpenAlexW4285495643

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.