Evidence map›Paper›PMID 32216757›Full record

ArticleBMC genomics2020

Novel approach in whole genome mining and transcriptome analysis reveal conserved RiPPs in Trichoderma spp.

Gabriel A Vignolle, Robert L Mach, Astrid R Mach-Aigner, Christian Derntl

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. EngineeringAIMS microbiology · 2026
    Review
  2. Article
  3. Biocontrol Potential of NativeJournal of fungi (Basel, Switzerland) · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
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  11. Article
  12. Frontiers in fungal biology · 2022
    Review
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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

4 authors at 1 institution in 1 country.

Gabriel A VignolleInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060, Wien, Austria.
Robert L MachInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060, Wien, Austria.
Astrid R Mach-AignerInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060, Wien, Austria.
Christian DerntlInstitute of Chemical, Environmental and Bioscience Engineering, TU Wien, Gumpendorfer Strasse 1a, 1060, Wien, Austria. christian.derntl@tuwien.ac.at.ORCID http://orcid.org/0000-0002-6440-2100
TU Wien · AT

Funding

Austrian Science Fund P29556Austrian Science Fund FWF P 29556
6 · The paper itself

Abstract

backgroundRibosomally synthesized and post-translationally modified peptides (RiPPs) are a highly diverse group of secondary metabolites (SM) of bacterial and fungal origin. While RiPPs have been intensively studied in bacteria, little is known about fungal RiPPs. In Fungi only six classes of RiPPs are described. Current strategies for genome mining are based on these six known classes. However, the genes involved in the biosynthesis of theses RiPPs are normally organized in biosynthetic gene clusters (BGC) in fungi.

resultsHere we describe a comprehensive strategy to mine fungal genomes for RiPPs by combining and adapting existing tools (e.g. antiSMASH and RiPPMiner) followed by extensive manual curation based on conserved domain identification, (comparative) phylogenetic analysis, and RNASeq data. Deploying this strategy, we could successfully rediscover already known fungal RiPPs. Further, we analysed four fungal genomes from the Trichoderma genus. We were able to find novel potential RiPP BGCs in Trichoderma using our unconventional mining approach.

conclusionWe demonstrate that the unusual mining approach using tools developed for bacteria can be used in fungi, when carefully curated. Our study is the first report of the potential of Trichoderma to produce RiPPs, the detected clusters encode novel uncharacterized RiPPs. The method described in our study will lead to further mining efforts in all subdivisions of the fungal kingdom.

Indexed as

Computational BiologyData CurationData MiningFungal ProteinsGene Expression ProfilingGene Expression Regulation, FungalPhylogenySecondary MetabolismSequence Analysis, RNATrichodermaWhole Genome SequencingFungal ProteinsAscomycotaBasidiomycotaGenome miningRiPPSecondary metabolismTrichoderma

Identifiers

PMID32216757
PMCPMC7099791
OpenAlexW3013406732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.