Background
Salicornia is a halophyte plant capable of being irrigated with seawater, which can be used as an alternative food. Given this, it is necessary to study the potentials of this plant’s morphological diversity in the natural environment. In this study, 33 wild populations of Salicornia were collected from different geographical areas around Urmia Lake during the flowering stage, and 55 morphological traits and 25 ISSR loci of the plant were analyzed. Based on morphological and molecular traits and the cluster analysis, Salicornia populations were divided into four and two groups, respectively.
Results
Overall, the high percentage of polymorphic loci (65.69%), the average number of effective alleles per locus (1.63), and the Shannon data index (0.540) indicate that ISSR markers was used to identify genetic diversity. Molecular data cluster analysis divided the studied populations into two main groups, which included 12.12% and 87.88% of the populations, respectively. Based on the effective analysis of the population’s genetic structure and the precise classification of individuals into suitable sub-populations, the value of K=2 was calculated.
Conclusions
The research findings indicated that the populations of Salicornia have a considerable diversity in morphological traits. Furthermore, markers UBC823, B, A7, and K, as well as markers with the Shannon index, effective allele, and large heterozygosis values, are the most effective markers in comparison with other markers used in this study. The findings of this study will aid in parental selection studies for breeding programs of Salicornia in future.
Introduction: Cancer-related fatigue (CRF) is one of the major problems experienced by cancer patients. Identifying the prevalence and factors associated with CRF may be effective in designing appropriate interventions to reduce this problem. This study aimed to examine the prevalence of CRF and its related factors among Iranian cancer survivors. Methods: The samples of this descriptive cross-sectional study included 131 cancer survivors referred to outpatient clinic of Shahid Gazi Hospital affiliated to Tabriz University of Medical Sciences. Brief fatigue inventory (BFI) questionnaire was used for data collection. The data were analyzed using SPSS software version 13, descriptive statistics, and regression analysis. Results: The mean (SD) fatigue score was 6.41 (1.68) and 89% of survivors reported that they had suffered from CRF. The factors affecting CRF included blood pressure, diabetes mellitus, anemia, serum levels of blood urea nitrogen (BUN), marital status, type of cancer, and physical activity. Conclusion: High level of CRF in cancer survivors requires special attention and designing effective interventions through considering the identified factors associated with CRF.
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