Evidence map›Paper›PMID 39015620›Full record

ArticleBeilstein journal of organic chemistry2024

Mining raw plant transcriptomic data for new cyclopeptide alkaloids.

Draco Kriger, Michael A Pasquale, Brigitte G Ampolini, Jonathan R Chekan

Abstract read
In one paragraph

Article in Beilstein journal of organic chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Review
  5. 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

4 authors.

Draco Kriger *Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
Michael A Pasquale *Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID https://orcid.org/0000-0002-5480-6355
Brigitte G Ampolini *Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID https://orcid.org/0000-0002-6328-3306
Jonathan R ChekanDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID https://orcid.org/0000-0003-4651-0594

Funding

Bioinformatic Guided Discovery and Characterization of New RiPP Natural ProductsR35GM147439 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI Jonathan Rodi Chekan · 2022 to 2026
$1.8M
NIGMS NIH HHS R35 GM147439
6 · The paper itself

Abstract

In recent years, genome and transcriptome mining have dramatically expanded the rate of discovering diverse natural products from bacteria and fungi. In plants, this approach is often more limited due to the lack of available annotated genomes and transcriptomes combined with a less consistent clustering of biosynthetic genes. The recently identified burpitide class of ribosomally synthesized and post-translationally modified peptide (RiPP) natural products offer a valuable opportunity for bioinformatics-guided discovery in plants due to their short biosynthetic pathways and gene encoded substrates. Using a high-throughput approach to assemble and analyze 700 publicly available raw transcriptomic data sets, we uncover the potential distribution of split burpitide precursor peptides in Streptophyta. Metabolomic analysis of target plants confirms our bioinformatic predictions of new cyclopeptide alkaloids from both known and new sources.

Indexed as

burpitidesnatural productsplantsRiPPstranscriptome mining

Identifiers

PMID39015620
PMCPMC11250218

What OpenQuestion holds

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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.