Department of Applied Chemistry, Faculty of Food Science, Szent István University, Villányi út 29-43, Budapest, 1118, Hungary.
Department of Genetics and Plant Breeding, Faculty of Horticultural Science, Szent István University, Ménesi út 44, Budapest, 1118, Hungary.
Plant Mol Biol. 2021 Mar;105(4-5):435-447. doi: 10.1007/s11103-020-01098-5. Epub 2020 Dec 9.
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. 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.
基于 LC-MS 的代谢组学方法表明,类黄酮以外的潜在代谢物可能对杏的性亲和反应有重要贡献。提供了与微管稳定作用相关的可能机制。本研究旨在鉴定在杏(Prunus armeniaca L.)中不亲和反应中起关键作用的代谢物。使用液相色谱-飞行时间质谱联用技术,对自亲和和自不亲和的杏雌蕊进行代谢指纹图谱分析,然后进行非靶向化合物搜索。多元统计分析显示,在正离子和负离子模式下,分别有 15 种差异化合物在总共 4006 种和 1005 种对齐代谢物中具有显著差异。主成分分析(PCA)中 89.55%的总解释方差表明,差异表达分析具有较高的质量。统计分析还显示基因型和授粉时间之间存在显著差异,这表明代谢指纹图谱具有较高的性能,并揭示了对自不亲和反应有显著影响的代谢物的存在。最后,建议基于聚酮的大环内酯类化合物(类似于 peloruside A)和羟基神经鞘氨醇衍生物是实验中重要的差异代谢物。这些结果表明花粉管有一种策略,可以保护微管并避免生长停滞,这涉及到杏的不亲和反应。