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LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations
KEY MESSAGE: LC-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. ABSTRACT: Identification of met...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892686/ https://www.ncbi.nlm.nih.gov/pubmed/33296063 http://dx.doi.org/10.1007/s11103-020-01098-5 |
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author | Lénárt, József Gere, Attila Causon, Tim Hann, Stephan Dernovics, Mihály Németh, Olga Hegedűs, Attila Halász, Júlia |
author_facet | Lénárt, József Gere, Attila Causon, Tim Hann, Stephan Dernovics, Mihály Németh, Olga Hegedűs, Attila Halász, Júlia |
author_sort | Lénárt, József |
collection | PubMed |
description | KEY MESSAGE: LC-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. ABSTRACT: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11103-020-01098-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7892686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78926862021-03-03 LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations Lénárt, József Gere, Attila Causon, Tim Hann, Stephan Dernovics, Mihály Németh, Olga Hegedűs, Attila Halász, Júlia Plant Mol Biol Article KEY MESSAGE: LC-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. ABSTRACT: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11103-020-01098-5) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-12-09 2021 /pmc/articles/PMC7892686/ /pubmed/33296063 http://dx.doi.org/10.1007/s11103-020-01098-5 Text en © The Author(s) 2020, corrected publication 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lénárt, József Gere, Attila Causon, Tim Hann, Stephan Dernovics, Mihály Németh, Olga Hegedűs, Attila Halász, Júlia LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title | LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title_full | LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title_fullStr | LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title_full_unstemmed | LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title_short | LC–MS based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
title_sort | lc–ms based metabolic fingerprinting of apricot pistils after self-compatible and self-incompatible pollinations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892686/ https://www.ncbi.nlm.nih.gov/pubmed/33296063 http://dx.doi.org/10.1007/s11103-020-01098-5 |
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