Evidence map›Paper›PMID 40651831›Full record

ArticleMethods in enzymology2025

Discovery of bacterial terpenoids by genome mining.

Wenbo Ning, Jeffrey D Rudolf

Abstract read
In one paragraph

Article in Methods in enzymology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Wenbo NingDepartment of Chemistry, University of Florida, Gainesville, FL, United States.
Jeffrey D RudolfDepartment of Chemistry, University of Florida, Gainesville, FL, United States. Electronic address: jrudolf@chem.ufl.edu.

Funding

Discovery and Biosynthesis of Bacterial TerpenoidsR35GM142574 · NIGMS · UNIVERSITY OF FLORIDA · PI Jeffrey Daniel Rudolf · 2021 to 2026
$2.4M
Acquisition of a Q Exactive HF Hybrid Quadrupole-OrbitrapS10OD021758 · OD · UNIVERSITY OF FLORIDA · PI BASSO, KARI B · 2017 to 2017
$600k
NIGMS NIH HHS R35 GM142574NIH HHS S10 OD021758
6 · The paper itself

Abstract

Terpenoid natural products are widely distributed in nature and possess diverse molecular structures that bestow remarkable biological activities. A tremendous number of terpenoids have been isolated from plants and fungi; however, traditional natural product discovery methods currently face challenges in the identification of new terpenoids due to the enormous library of known compounds. The advent of next-generation sequencing and synthetic biology technologies began the era of genome mining and natural product discovery efforts, including those for terpenoids, have rightfully been stimulated. Data in genomic repositories reveal the presence of numerous putative terpene synthase genes in bacteria, highlighting an untapped potential for terpenoid biosynthesis in these microorganisms. To harness this potential, here we outline genome mining methods for identifying novel terpene synthases and discovering terpenoid natural products from bacteria. The continued identification and development of terpenoids holds promise for their application as drugs and in various industrial and commercial processes.

Indexed as

BacteriaGenome, BacterialTerpenesAlkyl and Aryl TransferasesBiological ProductsData MiningGenomicsAlkyl and Aryl TransferasesBiological ProductsTerpenesterpene synthaseBacteriaBiosynthesisGenome miningTerpene synthasesTerpenoids

Identifiers

PMID40651831
PMCPMC12255869

What OpenQuestion holds

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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.