الفهرس 
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Abstract
In the present study, 26 taxa of Brassicaceae (Cruciferae) were investigated representing 21 genera, 26 species, 5 subspecies and one variety. All investigated taxa were collected from the Egyptian wild flora. Floristic and ecological features of the communities dominated by 26 taxa of Brassicaceae were investigated. The morphological characters of the whole plant, leaf architecture, lamina epidermal characteristics (LM & SEM) and pollen characters as well as molecular data (RAPD-PCR & ISSR-PCR) of these studied taxa also were investigated. The morphological and molecular criteria and their states (371 attributes) were numerically analyzed. The observation obtained led to various conclusions of ecological and taxonomical importance.
1- Brassica tournefortii, Sisymbrium iroi, Cakile maritima subsp. aegyptiaca, Eruca sativa, Diplotaxis harra, Zilla spinosa subsp. spinosa, Brassica nigra, Matthiola longipetala subsp. livida and S. orientale have wide ecological amplitude, while others have limited ecological amplitude.
2- The macromorphological characters of the studied taxa are considered of insufficient diagnostic characters to use in separation between the taxa.
3- Lamina Architecture, Abaxial Lamina Epidermal Characteristics (LM & SEM) and Pollen Characters are considered of sufficient diagnostic characters to use in separation between the taxa.
4- Six 10-mer arbitrary oligonucleotide primers were used to establish their randomly amplified polymorphic DNA based on polymerase chain raction (RAPD-PCR) fingerprints. The six primers were successfully generated reproducible polymorphic products. . Two ISSR primers were used. The two primers were successfully generated reproducible polymorphic products.
5- The taxonomic treatment based on 259 morphological attributes, 112 molecular attributes, sum of 371 used for computation and produced dendrogram revealed classification of the studied taxa of Brassicaceae which compared with the current system treatments. The most current taxonomic treatments agree in far extent with the current systems of classification.