Evidence map›Paper›PMID 34064699›Full record

ArticleMetabolites2021

A Comprehensive Targeted Metabolomics Assay for Crop Plant Sample Analysis.

Jiamin Zheng, Mathew Johnson, Rupasri Mandal, David S Wishart

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Chemical Composition of Commercial Cannabis.Journal of agricultural and food chemistry · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. [Research advances on burn blister fluid].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2022
    Article
  9. Article
  10. Review
  11. Molecular and Physiological Responses ofInternational journal of molecular sciences · 2022
    Article
  12. Article
  13. Article
  14. 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

4 authors.

Jiamin ZhengDepartments of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Mathew JohnsonDepartments of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Rupasri MandalDepartments of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
David S WishartDepartments of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.ORCID 0000-0002-3207-2434

Funding

Canada Foundation for Innovation 35456Genome Canada 35456
6 · The paper itself

Abstract

Metabolomics plays an important role in various fields from health to agriculture. However, the comprehensive quantitative metabolomic analysis of plants and plant metabolites has not been widely performed. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)-based plant metabolomics offers the sensitivity and breadth of coverage for both phenotyping and disease diagnosis of plants. Here, we report a high-coverage and quantitative MS-based assay for plant metabolite analysis. The assay detects and quantifies 206 primary and secondary plant metabolites, including many key plant hormones. In total, it measures 28 amino acids and derivatives, 27 organic acids, 20 biogenic amines and derivatives, 40 acylcarnitines, 90 phospholipids and C-6 sugars. All the analysis methods in this assay are based on LC-MS/MS techniques using both positive and negative-mode multiple reaction monitoring (MRM). The recovery rates of spiked plant samples at three different concentration levels (low, medium and high) ranged from 80% to 120%, with satisfactory precision values of less than 20%. This targeted plant metabolomic assay has been successfully applied to the analysis of large numbers of pine and spruce needle samples, canola root samples, as well as cannabis samples. Moreover, the assay was specifically developed in a 96-well plate format, which enables automated, high-throughput sample analysis. This assay has already been used to analyze over 1500 crop plant samples in less than two months.

Indexed as

cannabis budscanola rootsconifer needlescrop plantLC-MS/MSplant metabolomics

Identifiers

PMID34064699
PMCPMC8151637

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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.