Image and fractal analysis as a tool for evaluating salinity growth response between two Salicornia europaea populations.

BACKGROUND: This study describes a promising method for understanding how halophytes adapt to extreme saline conditions and to identify populations with greater resistance. Image and colour analyses have the ability to obtain many image parameters and to discriminate between different aspects in plants, which makes them a suitable tool in combination with genetic analysis to study the plants salt tolerance. To the best of our knowledge, there are no publications about the monitoring of halophytic plants by non-destructive methods for identifying the differences between plants that belong to different maternal salinity environments. The aim is to evaluate the ability of image analysis as a non-destructive method and principal component analysis (PCA) to identify the multiple responses of two S. europaea populations, and to determine which population is most affected by different salinity treatments as a preliminary model of selection. RESULTS: Image analysis was beneficial for detecting the phenotypic variability of two S. europaea populations by morphometric and colour parameters, fractal dimension (FD), projected area (A), shoot height (H), number of branches (B), shoot diameter (S) and colour change (ΔE). S was found to strongly positively correlate with both proline content and ΔE, and negatively with chlorophyll content. These results suggest that proline and ΔE are strongly linked to plant succulence, while chlorophyll decreases with increased succulence. The negative correlation between FD and hydrogen peroxide (HP) suggests that when the plant is under salt stress, HP content increases in plants causing a reduction in plant complexity and foliage growth. The PCA results indicate that the greater the stress, the more marked the differences. At 400 mM a shorter distance between the factorial scores was observed. Genetic variability analysis provided evidence of the differences between these populations. CONCLUSIONS: Our non-destructive method is beneficial for evaluating the halophyte development under salt stress. FD, S and ΔE were relevant indicators of plant architecture. PCA provided evidence that anthropogenic saline plants were more tolerant to saline stress. Furthermore, random amplified polymorphic DNA analysis provided a quick method for determining genetic variation patterns between the two populations and provided evidence of genetic differences between them.

Maternal salinity influences anatomical parameters, pectin content, biochemical and genetic modifications of two Salicornia europaea populations under salt stress.

Salicornia europaea is among the most salt-tolerant of plants, and is widely distributed in non-tropical regions. Here, we investigated whether maternal habitats can influence different responses in physiology and anatomy depending on environmental conditions. We studied the influence of maternal habitat on S. europaea cell anatomy, pectin content, biochemical and enzymatic modifications under six different salinity treatments of a natural-high-saline habitat (~ 1000 mM) (Ciechocinek [Cie]) and an anthropogenic-lower-saline habitat (~ 550 mM) (Inowroclaw [Inw]). The Inw population showed the highest cell area and roundness of stem water storing cells at high salinity and had the maximum proline, carotenoid, protein, catalase activity within salt treatments, and a maximum high and low methyl esterified homogalacturonan content. The Cie population had the highest hydrogen peroxide and peroxidase activity along with the salinity gradient. Gene expression analysis of SeSOS1 and SeNHX1 evidenced the differences between the studied populations and suggested the important role of Na+ sequestration into the vacuoles. Our results suggest that the higher salt tolerance of Inw may be derived from a less stressed maternal salinity that provides a better adaptive plasticity of S. europaea. Thus, the influence of the maternal environment may provide physiological and anatomical modifications of local populations.