Evidence map›Paper›PMID 39997698›Full record

ArticleMetabolites2025

Chemical Informatics Combined with Kendrick Mass Analysis to Enhance Annotation and Identify Pathways in Soybean Metabolomics.

Troy D Wood, Erin R Tiede, Alexandra M Izydorczak, Kevin J Zemaitis, Heng Ye, Henry T Nguyen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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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

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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. Review
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

6 authors.

Troy D WoodDepartment of Chemistry, University at Buffalo, State University of New York, Buffalo, NY 14260-3000, USA.ORCID 0000-0002-2556-8511
Erin R TiedeDepartment of Chemistry, University at Buffalo, State University of New York, Buffalo, NY 14260-3000, USA.
Alexandra M IzydorczakDepartment of Chemistry, University at Buffalo, State University of New York, Buffalo, NY 14260-3000, USA.ORCID 0000-0002-7079-5270
Kevin J ZemaitisDepartment of Chemistry, University at Buffalo, State University of New York, Buffalo, NY 14260-3000, USA.
Heng YeDivision of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211, USA.
Henry T NguyenDivision of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-7597-1800

Funding

High Field Electrospray/MALDI Fourier Transform Mass SpectrometerS10RR029517 · NCRR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WOOD, TROY D · 2010 to 2010
$1.7M
NCRR NIH HHS S10 RR029517NCRR NIH HHS S10-RR029517New York Corn & Soybean Growers Association SYBN 21-008, SYBN 22-008, SYBN 23-010United Soybean Board 1820-172-0130
6 · The paper itself

Abstract

backgroundAmong abiotic stresses to agricultural crops, drought stress is the most prolific and has worldwide detrimental impacts. The soybean (

objectivesHere, two soybean lines, Pana (drought sensitive) and PI 567731 (drought tolerant) were selected to identify chemical compounds and pathways which could be targets for metabolomic analysis induced by abiotic stress.

methodsExtracts from the two lines are analyzed by direct infusion electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry. The high mass resolution and accuracy of the method allows for identification of ions from hundreds of different compounds in each cultivar. The exact

resultsIn this study, more than 460 ionic formulas were identified in Pana, and more than 340 ionic formulas were identified in PI 567731, with many of these formulas reported from soybean for the first time.

conclusionsUsing the SoyCyc matches, the metabolic pathways from each cultivar were compared, providing lists of molecular targets available to profile effects of abiotic stress on these soybean cultivars. Key metabolites include chlorophylls, pheophytins, mono- and diacylglycerols, cycloeucalenone, squalene, and plastoquinones and involve pathways which include the anabolism and catabolism of chlorophyll, glycolipid desaturation, and biosynthesis of phytosterols, plant sterols, and carotenoids.

Indexed as

chemical informaticsdroughtelectrospray ionizationFT-ICRKendrick mass defectmetabolomicssoybean

Identifiers

PMID39997698
PMCPMC11857611

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