Many methodologies have been established to lessen negative impacts of salinity on plants. Of those methodologies, nanoparticles (NPs) application has achieved great importance thanks to their unique physico-chemical properties. Consequently, formerly respecting encouraging impacts of graphene oxide (GO) and proline (Pro) on different plant processes under non-stress and stress conditions, proline-functionalized graphene oxide nanoparticles “GO–Pro NPs” were synthesized and characterized. Graphite powder, as starting material, was used to synthesize GO using modified Hummers method followed by functionalization of its surface by proline in basic media. Afterward, GO–Pro NPs, GO and Pro, each at 0, 50 and 100 mg L?1 concentrations with three replications, were applied on Moldavian balm (Dracocephalum moldavica L.) plants to assay their effects under non-stress (0 mM) and salt stress (50 and 100 mM) conditions. GO–Pro NPs and Pro effectively alleviated negative effects of salinity through increasing morphological parameters, photosynthetic pigments, chlorophyll fluorescence parameters, chlorophyll index (SPAD), and membrane stability index (MSI) and decreasing hydrogen peroxide and malondialdehyde, as well. Also application of GO–Pro NPs enhanced proline, antioxidant enzymes activities, and most dominant constituents of essential oil. The highest MSI (48.87%) and proline content (15.36 µM g?1 FW) were observed in plant treated with GO–Pro NPs (50 mg L?1) under 100 mM NaCl salinity stress. The GO–Pro NPs treatment at lower dose (50 mg L?1) could be introduced as the best preservative treatment for Moldavian balm under salt stress. GO application mostly had no effect on the measured parameters announcing it as carrier for Pro to enhance its efficiency. In conclusion, GO–Pro NPs application could promote Moldavian balm performance and essential oil under salinity presenting GO–Pro NPs as new treatment against stress conditions.
Peanut (Arachis hypogaea L) is one of the wide cultivated plants with a narrow genetic base, hence the interest in prospecting, rescuing, and characterizing germplasm of this species is continuously carried out. In this work, eleven microsatellite markers were used to assess the genetic diversity and population structure of 68 Algerian peanut accessions originated from four geographic regions in the north and south of Algeria. A total of 83 alleles were amplified with a mean number of 7.545 alleles per locus and polymorphic information content (PIC) ranged from 0.625 to 0.874. The observed and expected heterozygosity varied from 0.31 to 1.00 and from 0.61 to 0.84 with a mean of 0.704 and 0.732, respectively. Genetic structure analysis showed a strong population at K?=?2, separating accessions according to their subspecies affiliation (hypogeae ssp. and fastigiata ssp.). It was also able to quantify the genetic correlations between genotypes using principal component analysis (PCA) and the method of groups of unweighted pairings with arithmetic means (UPGMA). Analysis of molecular variance (AMOVA) revealed high genetic variation within individuals (90.7%) and low genetic differentiation between subspecies (10.3%) and among populations (8.9%) from different geographical origin. Genetic diversity analysis in this study provides useful information for the exploration and utilization of these peanut cultivars.
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