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11,837 results for “Stress;”
Figure 1 in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 1. (A) Results of clustering: Assembling a group of organisms (The organisms in the same group are similar). (B) The number of OTUs generated for each sample. The Root.1 sample had the most OTUs of 24, while the Leave.1 sample had the fewest of 13. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica.
Figure 6. A in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 6. A. The phylum level in Bacteria (bar chart), the bacterial composition of the different samples was similar, while the distribution of each phylum varied in all samples. Based on the V3-V4 region of the 16S rRNA region. Bacterial communities at the phylum classification among the samples (pie chart), as a percentage of the total bacteria isolated from roots and leaves endophyte region. Based on the full-length 16S rRNA sequences. (B) The number of Actinobacteria among the samples. (C) The number of Proteobacteria among the samples. (D) The number of unclassified phyla among the samples. (E) The number of Firmicutes phyla among the samples. (F) The number of Cyanobacteria/Chloroplast among the samples. Roots samples: Roots.1, Roots.2, and Roots.3. Leaves samples: Leaves.1, Leaves.2, and Leaves.3 are associated with Senna italica.
Figure 1 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants
Figure 1. Growth analysis of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) fresh weight; (b) dry weight; (c) foliar area; (d) height. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.
Figure 5 in Metagenomic study of the communities of bacterial endophytes in the desert plant Senna Italica and their role in abiotic stress resistance in the plant
Figure 5. Phylogenetic tree based on 16S rRNA gene sequences representing the diversity of endophytic bacterial communities associated with the leaves and roots from the desert medicinal plant Senna italica "at the Phylum level". The tree was constructed using the "one-click" mode in Phylogeny.fr.(Dereeper et al., 2008).
Figure 7 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants
Figure 7. Schematic representation of the proposed model for the role of H 2O2 in drought stress responses in tomato plants before and after the decline in shoot turgor. Thus, when there is a mild drought stress, the H O produced by the roots can travel to the shoot 2 2 where it will induce stomatal closure and thus reduce water loss, even before there is a reduction in the leaves water status. On the other hand, when drought stress becomes severe, other signals become part of the drought response complex, such as hormones, pH changes and electrical current, among others. Currently, H O appears to exert a lesser effect on drought signaling. *Several signals, such 2 2 as hormones, chemical elements, reactive nitrogen species, electrical currents, hydraulic signals and pH changes (Christmann et al., 2013; Silva et al., 2015; Karuppanapandian et al., 2017; Huber et al., 2019; Fichman and Mittler, 2020; Mahmood et al., 2020).
Figure 3 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants
Figure 3. Water relations of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) relative water content; (b) total transpiration of plants throughout the evaluation period; (c) transpiration per cm2 of leaf area; (d) water use efficiency. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means among biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.
Figure 1 in Methods of application of salicylic acid as attenuator of salt stress in cherry tomato
Figure 1. Air temperature (maximum and minimum) and mean relative air humidity observed in the internal area of the greenhouse during the experimental period.
Figure 2 in Methods of application of salicylic acid as attenuator of salt stress in cherry tomato
Figure 2. Two-dimensional projection of the scores of the principal components for the factors salinity levels (S) and methods of application of salicylic acid (M) (A) and the variables analyzed (B) in the first two principal components (PC and PC ).
Figure 6 in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 6. Shoot dry biomass (SDB) (A and B) and production (PP) (C) of Italian zucchini plants fertilized with different forms of nitrogen (♦ Nitrate and Ammonium) and irrigated with saline waters (B). Means followed by different letters indicate difference by Tukey test at 0.05 probability level. * = Significant at 0.05 probability level (p<0.05).
Figure 5 in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 5. Italian zucchini plants fertilized with different forms of nitrogen and irrigated with saline waters.
Figure 2 in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 2. Accumulation of nitrogen (N) (A), phosphorus (P) (B), potassium (K) (C), calcium (Ca) (D) and magnesium (Mg) (E) in Italian zucchini plants irrigated with saline waters. * - Significant at 0.05 probability level (p<0.05).
Figure 4. Chlorophyll b in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 4. Chlorophyll b content (A) and electrolyte leakage (B) in Italian zucchini plants nourished with different forms of nitrogen and irrigated with saline waters. Means followed by different letters indicate significant difference by Tukey test at 0.05 probability level.
Figure 3 in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 3. Accumulation of sodium (Na+) (A), sodium/potassium ratio (Na+/K+) (B), sodium/calcium ratio (Na+/Ca++) (C and D) and sodium/ magnesium ratio (Na+/Mg++) (E and F) in Italian zucchini plants nourished with different forms of nitrogen and irrigated with saline waters. Means followed by different letters indicate significant difference by Tukey test at 0.05 probability level. * and ns - Significant at 0.05 probability level (p<0.05) and not significant (p>0.05), respectively.
Figure 1 in Ionic homeostasis, biochemical components and yield of Italian zucchini under nitrogen forms and salt stress
Figure 1. Accumulation of nitrogen - N (A), phosphorus - P (B), potassium - K (C), calcium - Ca (D) and magnesium - Mg (E) in Italian zucchini plants fertilized with different forms of nitrogen and irrigated with saline water. Means followed by different letters indicate significant difference by Tukey test at 0.05 probability level.
Figure 5 in TiO nanoparticles and salinity stress in relation to artemisinin production and ADS and DBR2 expression in Artemisia absinthium L.
Figure 5. The effect of salinity stress and titanium dioxide nanoparticles on the amount of artemisinin in wormwood (the non–identical letters indicate significant difference based on Duncan test P≤ 0.05).
Figure 3 in TiO nanoparticles and salinity stress in relation to artemisinin production and ADS and DBR2 expression in Artemisia absinthium L.
Figure 3. The effect of salinity and titanium dioxide nanoparticles on ADS gene expression in wormwood (non–identical letters indicate significant difference based on Duncan test P≤ 0.05).
Figure 2 in TiO nanoparticles and salinity stress in relation to artemisinin production and ADS and DBR2 expression in Artemisia absinthium L.
Figure 2. (A) Gel electrophoresis of RNA extracted from the leaf; (B) Gel electrophoresis of Standard RT–PCR product of 16s rRNA. M: 100bp DNA size marker. Numbered wells are samples. Gel agarose 1%.
Figure 1 in Antioxidant status and their enhancements strategies for water stress tolerance in chickpea
Figure 1. (a) Influence of exogenous application of osmoprotectants on crop growth rate (g m-2 day-1) of chickpea genotypes in Bahawalpur; (b) Influence of exogenous application of osmoprotectants on crop growth rate (g m-2 day-1) of chickpea genotypes in Cholistan. Whereas D1= well watered; D2= Drought at flowering+ pod formation + grain filling stage; D3= Drought at flowering stage; DAS, Days after sowing.
Figure 2 in Osmoprotection in Salvia hispanica L. seeds under water stress attenuators
Figure 2. Shoot length- SL (A), root length- RL (B) and total dry mass (C) of Salvia hispanica L. seedlings subjected to different attenuators and water potentials.
Figure 3 in Osmoprotection in Salvia hispanica L. seeds under water stress attenuators
Figure 3. Contents of amino acids (A), proline (B) and total soluble sugars (C) in Salvia hispanica L. seedlings subjected to different attenuators and water potentials.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.