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336 results for “Drought Stress”
Response of exogenous melatonin on transcription and metabolism of soybean under drought stress
<p><strong>Response of exogenous melatonin </strong><strong>on</strong><strong> transcription and metabolism of soybean under drought stress</strong></p>
Data from: Loss of heterosis and family-dependent inbreeding depression in plant performance and resistance against multiple herbivores under drought stress
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Data from: Identification of four novel stu-miR169s and their target genes in Solanum tuberosum and expression profiles response to drought stress
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Data from: Integrating transcriptional, metabolomic, and physiological responses to drought stress and recovery in switchgrass (Panicum virgatum L.)
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Sympatric pairings of dryland grass populations, mycorrhizal fungi, and associated soil biota enhance mutualism and ameliorate drought stress
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Shift from short-term competition to facilitation with drought stress is due to a decrease in long-term facilitation
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Data from: Extreme drought stress shifts net facilitation to neutral interactions between shrubs and sub-canopy plants in an arid desert
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Contrasting biomass allocation responses across ontogeny and stress gradients reveal plant adaptations to drought and cold
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Data from: RNA-Seq analysis identifies genes associated with differential reproductive success under drought-stress in accessions of wild barley Hordeum spontaneum
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Data from: A synthesis of ecosystem aboveground productivity and its process variables under simulated drought stress
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Physiological responses of rosewoods Dalbergia cochinchinensis and D. oliveri under drought and heat stresses
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Topography strongly affects drought stress and xylem embolism resistance in woody plants from a karst forest in Southwest China
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Banks grass mite (Acari: Tetranychidae) suppression may add to the benefit of drought-tolerant corn hybrids exposed to water-stress
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The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana
<p>Datasets used to train and test random forest and convolutional neural networks to predict transcriptional response patterns to single and combined heat and drought stress in Arabidopsis. Rows correspond to genes. The first column denotes the class with 1 indicating response group and 0 indicating non-responsive group (e.g. "NNU_merged_df.txt": 1 = NNU, 0 = NNN). The remaining columns are the pCRE and pCRE-omic overlap features, where "1" denotes the pCRE is present in the promoter region of that gene (or present and overlaping with the omic-feature) and "0" denotes the pCRE is not present (or present but not overlapping with the omic-feature). Feature names indicate the pCRE and omic-feature: "pCRE_OmicFeature" </p> <p><strong>For more information on how these datasets were generated and code used to implement and interpret the machine learning models see the manuscript and associated GitHub repository.</strong></p> <p>GitHub: <a href="https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought">https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought</a></p> <p>Abstract: Plants respond to their environment by dynamically modulating gene expression. A powerful approach for understanding how these responses are regulated is to integrate information about <em>cis-</em>regulatory elements (CREs) into models called <em>cis-</em>regulatory codes. Transcriptional response to combined stress is typically not the sum of the responses to the individual stresses. However, <em>cis-</em>regulatory codes underlying combined stress response have not been established. Here we modeled transcriptional response to single and combined heat and drought stress in <em>Arabidopsis thaliana.</em> We grouped genes by their pattern of response (independent, antagonistic, synergistic) and trained machine learning models to predict their response using putative CREs (pCREs) as features (median F-measure = 0.64). We then developed a deep learning approach to integrate additional omics information (sequence conservation, chromatin accessibility, histone modification) into our models, improving performance by 6.2%. While pCREs important for predicting independent and antagonistic responses tended to resemble binding motifs of transcription factors associated with heat and/or drought stress, important synergistic pCREs resembled binding motifs of transcription factors not known to be associated with stress. These findings demonstrate how <em>in silico</em> approaches can improve our understanding of the complex codes regulating response to combined stress and help us identify prime targets for future characterization.</p>
Is drought tolerance a domestication trait in tepary bean?: Allelic diversity at abiotic stress responsive genes in cultivated Phaseolus acutifolius A. Gray and its wild relatives
<p>Some of the major impacts of climate change are expected in the poorest regions of the world where drought stress and nutrient deficiency are already a main issue. Legumes are an essential food crop for the poorest because of their high dietary protein and micronutrient contents. However, they are generally drought susceptible. Therefore, our goal in this study was to explore allele diversity at abiotic stress responsive candidate genes in the only drought tolerant cultivated bean species of the genus <i>Phaseolus</i>, tepary bean (<i>P. acutifolius</i> A. Gray) and its related species <i>P. parvifolius </i>Freytag. Specifically, we estimated drought tolerance in 52 tepary bean <i>s.l.</i> geo-referenced germplasm accessions from the <i>P. acutifolius</i>–<i>parvifolius</i> clade using climate information, and used this estimated drought stress index to examine allele correlations with <i>Asr2</i>, <i>Dreb2B</i> and ERECTA-encoding candidate genes for drought tolerance. Genetic clustering showed that cultivated and wild <i>P. acutifolius</i> were intermingled with <i>P. acutifolius </i>var.<i> tenuifolius</i> and <i>P. parvifolius</i>, signifying that allele diversity at candidate genes for drought tolerance was not scarce in tepary bean <i>s.l</i>. <i>Dreb2B</i> and ERECTA-encoding genes harbored signatures of directional/purifying selection, likely in favor of adaptive alleles selectively advantageous because each had two SNPs significantly correlated (<i>p-value</i> < 0.05) with habitat drought stress at six and 12 months. These results suggest that tepary bean <i>s.l. </i>is a reservoir of novel alleles at candidate genes for drought tolerance, as expected for a drought-tolerant species that originated in warmer and arid environments. Abiotic stress responsive candidate genes also exhibit comparable patterns of selective signatures when comparing orthologous across species, which speaks for a predominant role of gene sub-functionalization likely due to ecological constrains. Our study therefore corroborates that the candidate gene approach is still an effective alternative for marker validation across a broader genetic basis of germplasm accessions. Further efforts to determine the genetic architecture of drought tolerance will unlock novel alleles hidden in a crop with limited modern relevance as tepary bean, but capable of acting as a donor in backcrossing and genome editing strategies with elite common bean lines aiming to meet the imminent demands of a drier world.</p>
Do experimental drought stress and species' drought sensitivity influence herbivory in tropical tree seedlings?
<p>In tropical forests, drought and herbivory represent two potent stresses on seedlings. Climate change is expected to increase the frequency of severe droughts in many tropical forests, which may influence seedling vulnerability to herbivores if drought stress affects seedling palatability. Furthermore, contrasting selective pressures in wetter vs drier forests could mean that species well-adapted to herbivores are less drought resistant and vice versa. In this study, we measured seedling performance and herbivory in a common garden experiment where seedlings of 15 tree species were subjected to irrigation or rainfall exclusion treatments across two dry seasons in Panama. Water-manipulation had no effects on foliar herbivory during the experiment for all species combined and for 14 of the 15 focal species when analyzed separately. There was large variation among species in herbivore damage, but no relationship between the sensitivity of species to drought and the amount of herbivory they experienced. Altogether, our findings suggest that increasing drought stress is unlikely to directly alter tropical tree seedling susceptibility to herbivore attack in this forest. Additional studies are needed to determine whether drought alters tropical plant-herbivore interactions via other mechanisms, such as through changes in herbivorous insect communities and/or increases in fitness costs of herbivory.</p>
Natural diversity uncovers P5cs1 regulation and its role in drought stress adaptation and yield sustainability in barley
<p><em>P5cs1 </em>promoter allele of 49 barley genotypes.</p>
Figure 2 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants
Figure 2. Electrolyte extravasation (a) and foliar temperature (b) analysis of tomato BS II0020 grown in split-root scheme under full or partial irrigation. 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, calculated by Scott-knott test at 5% probability.
Figure 6 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants
Figure 6. Water relations analysis of tomato BS II0020 cultivated under irrigated or drought conditions. (a) relative water content; (b) leaf temperature; (c) total transpiration of plants throughout the evaluation period; (d) average daily transpiration; (e) transpiration per cm2 of leaf area; (f) water use efficiency (shoot dry mass/total transpiration). 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.
Drought stress and plant cultivar type affect demographic responses of herbivorous insects: a case study with the rose-grain aphid, Metopolophium dirhodum, (Hemiptera: Aphididae)
<p>Raw data files of "the effect of water stress on demographic features of aphid <em>Metopolophium dirhodum on two cultivars"</em></p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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