Evidence map›Paper›PMID 30558181›Full record

ArticleMetabolites2018

Characterization of Plant Volatiles Reveals Distinct Metabolic Profiles and Pathways among 12 Brassicaceae Vegetables.

Yu Liu, Hui Zhang, Shivshankar Umashankar, Xu Liang, Hui Wen Lee, Sanjay Swarup, Choon Nam Ong

Abstract read
In one paragraph

Article in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Variation in Leaf Volatile Emissions in Potato (Plants (Basel, Switzerland) · 2023
    Article
  7. Journal of fungi (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Isothiocyanate-Rich Extracts from Cauliflower (International journal of environmental research and public health · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

7 authors.

Yu LiuNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. eriliu@nus.edu.sg.
Hui ZhangNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. erizh@nus.edu.sg.
Shivshankar UmashankarNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. shivshankar.nus@gmail.com.
Xu LiangNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. eriliaxu@nus.edu.sg.
Hui Wen LeeNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. erilhw@nus.edu.sg.
Sanjay SwarupNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. sanjay@nus.edu.sg.
Choon Nam OngNUS Environment Research Institute, National University of Singapore, Singapore 117411, Singapore. ephocn@nus.edu.sg.

Funding

National Research Foundation, Prime Minister's Office, Singapore, NRF-CRP 16-2015-04
6 · The paper itself

Abstract

Plants emit characteristic organic volatile compounds (VOCs) with diverse biological/ecological functions. However, the links between plant species/varieties and their phytochemical emission profiles remain elusive. Here, we developed a direct headspace solid-phase microextraction (HS-SPME) technique and combined with non-targeted gas chromatography‒high-resolution mass spectrometry (GC-HRMS) platform to investigate the VOCs profiles of 12 common Brassicaceae vegetables (watercress, rocket, Brussels sprouts, broccoli, kai lan, choy sum, pak choi, cabbage, Chinese cabbage, cauliflower, radish and cherry radish). The direct HS-SPME sampling approach enabled reproducible capture of the rapid-emitting VOCs upon plant tissue disruption. The results revealed extensive variation in VOCs profiles among the 12 Brassicaceae vegetables. Furthermore, principal component analysis (PCA) showed that the VOC profiles could clearly distinguish the 12 Brassicaceae vegetables, and that these profiles well reflected the classical morphological classification. After multivariate statistical analysis, 44 VOCs with significant differences among the Brassicaceae vegetables were identified. Pathway analysis showed that three secondary metabolism pathways, including the fatty acid pathway, methylerythritol phosphate (MEP) pathway and glucosinolate (GLS) pathway, behave distinctively in these vegetables. These three pathways are responsible for the generation and emission of green leaf volatiles (GLVs), terpenes and isothiocyanates (ITCs), respectively. Correlation analysis further showed that volatile metabolites formed via the common pathway had significantly positive correlations, whereas metabolites from different pathways had either non-significant or significantly negative correlations. Genetic influences on these metabolites across various vegetable types were also evaluated. These findings extend our phytochemical knowledge of the 12 edible Brassicaceae vegetables and provide useful information on their secondary metabolism.

Indexed as

chemotaxonomycruciferous vegetablesGC-HRMSHS-SPMEmetabolic pathwayVOCs profiling

Identifiers

PMID30558181
PMCPMC6316591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.