Towards Better Understanding of Pea Seed Dormancy Using Laser Desorption/Ionization Mass Spectrometry

نویسندگان

  • Monika Cechová
  • Markéta Válková
  • Iveta Hradilová
  • Anna Janská
  • Aleš Soukup
  • Petr Smýkal
  • Petr Bednář
چکیده

Seed coats of six pea genotypes contrasting in dormancy were studied by laser desorption/ionization mass spectrometry (LDI-MS). Multivariate statistical analysis discriminated dormant and non-dormant seeds in mature dry state. Separation between dormant and non-dormant types was observed despite important markers of particular dormant genotypes differ from each other. Normalized signals of long-chain hydroxylated fatty acids (HLFA) in dormant JI64 genotype seed coats were significantly higher than in other genotypes. These compounds seem to be important markers likely influencing JI64 seed imbibition and germination. HLFA importance was supported by study of recombinant inbred lines (JI64xJI92) contrasting in dormancy but similar in other seed properties. Furthemore HLFA distribution in seed coat was studied by mass spectrometry imaging. HLFA contents in strophiole and hilum are significantly lower compared to other parts indicating their role in water uptake. Results from LDI-MS experiments are useful in understanding (physical) dormancy (first phases of germination) mechanism and properties related to food processing technologies (e.g., seed treatment by cooking).

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منابع مشابه

Addendum: Cechová, M. et al. Towards Better Understanding of Pea Seed Dormancy Using Laser Desorption/Ionization Mass Spectrometry. Int. J. Mol. Sci. 2017, 18, 2196

Monika Cechová 1, Markéta Válková 1, Iveta Hradilová 2, Anna Janská 3, Aleš Soukup 3, Petr Smýkal 2 ID and Petr Bednář 1,* ID 1 Regional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University, 17. Listopadu 12, 771 46 Olomouc, Czech Republic; [email protected] (M.C.); [email protected] (M.V.) 2 Department of Botan...

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عنوان ژورنال:

دوره 18  شماره 

صفحات  -

تاریخ انتشار 2017