Evidence map›Paper›PMID 37352235›Full record

ArticlePloS one2023

Chemical profile and analysis of biosynthetic pathways and genes of volatile terpenes in Pityopsis ruthii, a rare and endangered flowering plant.

Xinlu Chen, Marcin Nowicki, Phillip A Wadl, Chi Zhang, Tobias G Köllner, Miriam Payá-Milans, Matthew L Huff, Margaret E Staton, Feng Chen, Robert N Trigiano

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Molecular cloning, prokaryotic expression and induction characteristics of the sesquiterpene synthase gene (Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Xinlu ChenDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, United States of America.
Marcin NowickiDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.ORCID 0000-0002-2655-5464
Phillip A WadlUnited States Department of Agriculture, Agricultural Research Service, U. S. Vegetable Laboratory, Charleston, SC, United States of America.
Chi ZhangDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, United States of America.ORCID 0000-0002-4083-0012
Tobias G KöllnerDepartment of Biochemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Miriam Payá-MilansDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
Matthew L HuffDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
Margaret E StatonDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
Feng ChenDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, United States of America.
Robert N TrigianoDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States of America.
University of Tennessee at Knoxville · USAgricultural Research Service · USMax Planck Institute for Chemical Ecology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is critical to gather biological information about rare and endangered plants to incorporate into conservation efforts. The secondary metabolism of Pityopsis ruthii, an endangered flowering plant that only occurs along limited sections of two rivers (Ocoee and Hiwassee) in Tennessee, USA was studied. Our long-term goal is to understand the mechanisms behind P. ruthii's adaptation to restricted areas in Tennessee. Here, we profiled the secondary metabolites, specifically in flowers, with a focus on terpenes, aiming to uncover the genomic and molecular basis of terpene biosynthesis in P. ruthii flowers using transcriptomic and biochemical approaches. By comparative profiling of the nonpolar portion of metabolites from various tissues, P. ruthii flowers were rich in terpenes, which included 4 monoterpenes and 10 sesquiterpenes. These terpenes were emitted from flowers as volatiles with monoterpenes and sesquiterpenes accounting for almost 68% and 32% of total emission of terpenes, respectively. These findings suggested that floral terpenes play important roles for the biology and adaptation of P. ruthii to its limited range. To investigate the biosynthesis of floral terpenes, transcriptome data for flowers were produced and analyzed. Genes involved in the terpene biosynthetic pathway were identified and their relative expressions determined. Using this approach, 67 putative terpene synthase (TPS) contigs were detected. TPSs in general are critical for terpene biosynthesis. Seven full-length TPS genes encoding putative monoterpene and sesquiterpene synthases were cloned and functionally characterized. Three catalyzed the biosynthesis of sesquiterpenes and four catalyzed the biosynthesis of monoterpenes. In conclusion, P. ruthii plants employ multiple TPS genes for the biosynthesis of a mixture of floral monoterpenes and sesquiterpenes, which probably play roles in chemical defense and attracting insect pollinators alike.

Indexed as

Alkyl and Aryl TransferasesMagnoliopsidaSesquiterpenesBiosynthetic PathwaysGene Expression Regulation, PlantMonoterpenesPlant ProteinsTerpenesAlkyl and Aryl TransferasesMonoterpenesPlant ProteinsSesquiterpenesTerpenes

Identifiers

PMID37352235
PMCPMC10289357
OpenAlexW4381838976

What OpenQuestion holds

Textmetadata
LicenceCC0
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.