Transformation of plants is a popular tool for modifying various desirable traits. Marker genes, like those encoding for bacterial b-glucuronidase (GUS), firefly luciferase (LUC) or jellyfish green fluorescent protein (GFP) have been shown to be very useful for establishing of efficient transformation protocols. Due to favourable properties such as no need of exogenous substrates and easy visualization, GFP has been found to be superior in to other markers in many cases. However, the use of GFP fluorescence is associated with some obstacles, mostly related to the diminishing of green fluorescence in older tissues, variation in fluorescence levels among different tissues and organs, and occasional interference with other fluorescing compounds in plants. This paper briefly summarizes basic GFP properties and applications, and describes in more detail the contribution of GFP to the establishment, evaluation and improvement of transformation procedures for plants. Moreover, features and possible obstacles associated with monitoring GFP fluorescence are discussed.

Constitutive promoters are the most common promoters used to drive the expression of various genes in monocots and dicots. Therefore, it is of intense interest to ascertain their expression patterns in various plant species, organs and during their ontogenic development. In this study, the activity of the CaMV 35S promoter in transgenic tobacco plants was assessed. In contrast to other studies, performed rather on the primary transformants (T 0 generation), here, individuals of T 1 and T 2 generations were used. The expression profiles of the CaMV 35S promoter were tracked within various plant organs and tissues using the GFP marker. Special attention was given to floral tissues for which the original data regarding the CaMV 35S expression were obtained. As expected, distinct developmental and organ/tissue specific expression patterns in a plant body were observed.

The effect of the type of leaf tissue selected for the study of green fluorescent protein (GFP) fluorescence intensity was investigated here using the T(1) generation of transgenic tobacco expressing the m-gfp5-ER gene. The fluorescence of GFP was detected by fluorescence binocular microscope coupled with the CCD camera and quantified by means of image analyses using the Lucia((R)) software. Mean brightness values from various leaf tissues were compared. First, an original data revealing the significant differences in the fluorescence intensity between the abaxial and adaxial surfaces are given. Stronger signal was detected on the abaxial side. Subsequently, the effect of the tissue location within the leaf surface was investigated and higher fluorescence was detected on the samples detached from leaf tips. Finally, the effect of the physiological age of leaves was studied using the in vitro clonally propagated plants. Leaves from the analogous positions within the plant body of three clones were investigated. The decrease in the fluorescence towards the plant top (youngest leaves) was observed in all studied plants. Surprisingly, the variability of the fluorescence within the clones of studied genotype was high enough to conclude, that the fluorescence of each individual is unique and affected by particular genotype and environment. Our study showed that the origin of leaf tissue selected for the GFP quantification is crucial and that the fluctuations in the fluorescence intensity should be taken into account when comparing the GFP fluorescence patterns of different plants. Moreover, the degree of fluorescence variability seems to be individually affected.

We have applied a simple method for evaluation of gfp gene expression in plants using a CCD camera and computerized processing of images. Transgenic tobacco plants were obtained by Agrobacterium tumefaciens-mediated transfer of plasmid T-DNA bearing a m-gfp5-ER sequence governed by the 35S promoter together with the nptII selectable marker gene. Presence of the gfp gene in plants was confirmed by a polymerase chain reaction method. Mean brightness values measured using image analysis software showed differences between transgenic and control plants and suggest the possibility of rapid selection of transgenic individuals among regenerants and their progenies.