Evidence map›Paper›PMID 33296063›Full record

ArticlePlant molecular biology2021

LC-MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations.

József Lénárt, Attila Gere, Tim Causon, Stephan Hann, Mihály Dernovics, Olga Németh, Attila Hegedűs, Júlia Halász

Erratum issuedOpen access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant molecular biology, 2021. 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

József LénártDepartment of Applied Chemistry, Faculty of Food Science, Szent István University, Villányi út 29-43, Budapest, 1118, Hungary.
Attila GereDepartment of Postharvest Sciences and Sensory Evaluation, Faculty of Food Science, Szent István University, Villányi út 29-43, 1118, Budapest, Hungary.
Tim CausonInstitute of Analytical Chemistry, University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria.
Stephan HannInstitute of Analytical Chemistry, University of Natural Resources and Life Sciences, Muthgasse 18, 1190, Vienna, Austria.
Mihály DernovicsDepartment of Plant Physiology, Agricultural Institute, Centre for Agricultural Research, Brunszvik u. 2, Martonvásár, 2462, Hungary.
Olga NémethDepartment of Applied Chemistry, Faculty of Food Science, Szent István University, Villányi út 29-43, Budapest, 1118, Hungary.
Attila HegedűsDepartment of Genetics and Plant Breeding, Faculty of Horticultural Science, Szent István University, Ménesi út 44, Budapest, 1118, Hungary.
Júlia HalászDepartment of Genetics and Plant Breeding, Faculty of Horticultural Science, Szent István University, Ménesi út 44, Budapest, 1118, Hungary. genetics.prunus@gmail.com.ORCID http://orcid.org/0000-0002-4141-6024
Magyar Agrár- és Élettudományi Egyetem · HUBOKU University · ATCentre for Agricultural Research · HU

Funding

Hungarian Scientific Research Fund (OTKA) K_128874 project (A. Hegedűs)
6 · The paper itself

Abstract

key messageLC-MS based metabolomics approach revealed that putative metabolites other than flavonoids may significantly contribute to the sexual compatibility reactions in Prunus armeniaca. Possible mechanisms on related microtubule-stabilizing effects are provided. Identification of metabolites playing crucial roles in sexual incompatibility reactions in apricot (Prunus armeniaca L.) was the aim of the study. Metabolic fingerprints of self-compatible and self-incompatible apricot pistils were created using liquid chromatography coupled to time-of-flight mass spectrometry followed by untargeted compound search. Multivariate statistical analysis revealed 15 significant differential compounds among the total of 4006 and 1005 aligned metabolites in positive and negative ion modes, respectively. Total explained variance of 89.55% in principal component analysis (PCA) indicated high quality of differential expression analysis. The statistical analysis showed significant differences between genotypes and pollination time as well, which demonstrated high performance of the metabolic fingerprinting and revealed the presence of metabolites with significant influence on the self-incompatibility reactions. Finally, polyketide-based macrolides similar to peloruside A and a hydroxy sphingosine derivative are suggested to be significant differential metabolites in the experiment. These results indicate a strategy of pollen tubes to protect microtubules and avoid growth arrest involved in sexual incompatibility reactions of apricot.

Indexed as

Chromatography, LiquidFlowersGene Expression ProfilingGene Expression Regulation, PlantGenotypeMass SpectrometryMetabolomicsPlant ProteinsPollinationPrincipal Component AnalysisPrunus armeniacaSelf-Incompatibility in Flowering PlantsPlant ProteinsApricotMass spectrometryMetabolic fingerprintingMetabolomicsSelf-incompatibility

Identifiers

PMID33296063
PMCPMC7892686
OpenAlexW3112994106

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.