The aim of this work was to show the potential of multidimensional gas chromatography combined with mass spectrometry and suitable chemometrics means based on untargeted and profiling data analysis to strengthen the information provided by floral scent and nectar fatty acids of four genetically differentiated lineages (E1, W1, W2, and W3) of the nocturnal moth-pollinated herb Silene nutans. Volatile organic compounds emitted by flowers were trapped for a total of 42 samples by in-vivo sampling dynamic head space for analysing floral scent by untargeted approach, while 37 samples of nectar were collected for analysing fatty acids through profiling analysis. The resulting data from floral scent analysis were aligned and compared using a tile-based methodology followed by data mining to access high-level information. Based on floral scent and nectar fatty acid results, it was possible to distinguish E1 from the W lineages, and W3 from W1 and W2. This work puts the bases for a larger study aiming to clarify the existence of prezygotic barriers involved in speciation among lineages of S. nutans, and thus the possible implication of different flower scents and nectar compositions in this phenomenon.
- Klíčová slova
- Chemometrics, Fatty acids, GC × GC, Head-space extraction, Volatile organic compounds,
- MeSH
- květy chemie MeSH
- odoranty analýza MeSH
- plynová chromatografie s hmotnostně spektrometrickou detekcí MeSH
- rostlinný nektar analýza MeSH
- Silene * MeSH
- těkavé organické sloučeniny * analýza MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- rostlinný nektar MeSH
- těkavé organické sloučeniny * MeSH
