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ArticleAdvances in experimental medicine and biology2026

Exploratory Correlation of De Novo Transcriptome Data and GC-MS Volatile Essential Oils Profile of W. salutaris Leaves.

Vuyiseka Nkqenkqa, Vanessa A Jackson, Richard Mundembe

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Article in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Vuyiseka NkqenkqaDepartment of Environmental Health and Occupational Studies, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, South Africa. nkqenkqav@cput.ac.za.
Vanessa A JacksonDepartment of Biotechnology and Consumer Science, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, South Africa.
Richard MundembeDepartment of Biotechnology and Consumer Science, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Warburgia salutaris, a medicinal plant native to southern Africa, is renowned for its essential oil, which is rich in monoterpenes and sesquiterpenes with therapeutic properties. This study explores the correlation between de novo transcriptome data and the volatile essential oil profile of W. salutaris leaves to elucidate the gene-metabolite relationships involved in secondary metabolite biosynthesis. Essential oil was extracted from fresh leaves using hydrodistillation and analysed via gas chromatography-mass spectrometry (GC-MS), identifying 34 volatile compounds, including monoterpenes and sesquiterpenes. To explore the genetic pathways of terpene biosynthesis, a transcriptome was generated using RNA sequencing, yielding over 79 million raw reads, with 60% usable data. The assembly produced 55,687 transcripts, of which 68,004 were coding sequences. Functional annotation through the Kyoto Encyclopedia of Genes and Genomes (KEGG) database identified genes encoding mono- and sesquiterpene synthases. However, not all metabolites in the essential oil were represented by corresponding genes, as some terpenes act as precursors. Nine of the 34 identified compounds were directly or indirectly linked to transcriptome data. This first comparative study of W. salutaris essential oil and de novo transcriptome data provides valuable insights into the interplay between gene transcription and metabolite production, highlighting the complexity of plant metabolism.

Indexed as

Gas Chromatography-Mass SpectrometryOils, VolatilePlant LeavesTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantTerpenesOils, VolatileTerpenesChemical compositionTerpenesTranscriptomeWarburgia salutaris

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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.