Login / Signup

Identification of monocot flora using pollen features through scanning electron microscopy.

Siraj BahadurMushtaq AhmadSehrosh MirMuhammad ZafarShazia SultanaShomaila AshfaqMuhammad Arfan
Published in: Microscopy research and technique (2018)
Pollen used to track structural and functional evolution in plants as well as to investigate the problems relative to plant classification. Pollen characters including ornamentation, shape, apertural pattern, pollen symmetry, colpus length, width, and margins used to detect the similarities and dissimilarities between genera and also species of the same genus. In this study pollen features of 20 monocot species belonging to 15 genera of the Amaryllidaceae, Asparagaceae, Iridaceae, Ixioliriaceae, Liliaceae, and Xanthorrhoeaceae were studied using scanning electron microscopy (SEM) and light microscopy (LM). In this study two species that is Zephyranthes citrina and Tulbaghia violacea were reported for the first time from Pakistan. Pollen grains were visualized with LM. Non-acetolyzed and acetolyzed pollen were examined using SEM. A taxonomic key was developed to highlight the variation in pollen features in order to make their systematic application for correct species identification.
Keyphrases
  • electron microscopy
  • high resolution
  • machine learning
  • deep learning
  • genetic diversity
  • high throughput
  • mass spectrometry
  • optical coherence tomography
  • high speed
  • bioinformatics analysis