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117 results for “genetic stress”
Shared genetic factors between stress-related disorders and cardiovascular disease
<p>The ultimate goal of this study is to advance our understanding of the biological mechanisms of stress-related disorders and CVD, through demonstrating pleiotropic genes and pathways underlying their comorbidity that are potentially testable as targets of future interventions in experimental investigations.</p>
Genetic basis of growth reaction to drought stress differs in contrasting high-latitude treeline ecotones of a widespread conifer
<p>Raw and filtered SNP data and raw tree ring data of the analysed trees. R scripts for SNP filtering, phenotypic data and genotype-phenotype association analysis. </p>
Figure 7 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 7. UPGMA tree of the evaluated samples based on the molecular ISSR data (treatment's code as in Table 1).
Figure 6 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 6. Results of the AMOVA test revealed a significant genetic diversity between the treated samples
Figure 5 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 5. UPGMA tree of the studied samples according to essential oil compositions (treatment's code as in Table 1).
Figure 3 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 3. Effects of Fe O and ZnO nanoparticles on concentration of the leaves Fe2+ amounts. Whiskers indicate the standard deviation, 2 3 and dissimilar letters showed the significant variation based on Duncan test (P≤ 0.05).
Figure 4 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 4. Effects of ZnO and Fe O nanoparticles on intracellular Zn 2+ concentration. Whiskers reveal the standard deviation, and 2 3 dissimilar letters showed the significant variation according to Duncan test (P≤ 0.05).
Data and coding files for: Within population plastic responses to combined thermal-nutritional stress differ from those in response to single stressors, and are genetically independent across traits in both males and females
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Data from: Curation: heat stress responses and population genetics of the kelp Laminaria digitata (Phaeophyceae) across latitudes reveal differentiation among North Atlantic populations
<p>We aim to understand the thermal plasticity of a coastal foundation species across its latitudinal distribution by assessing physiological responses to high temperature stress in the kelp <i>Laminaria digitata</i> in combination with population genetic characteristics. We <a>hypothesize</a> that Arctic and cold-temperate populations are less heat resilient than warm-temperate populations. Using meristems of natural <i>L. digitata</i> populations from six locations ranging between Kongsfjorden, Spitsbergen (79°N), and Quiberon, France (47°N), we performed a common-garden heat stress experiment applying 15°C to 23°C over eight days. We assessed growth, quantum yield, carbon and nitrogen storage, and xanthophyll pigment contents as response traits. Population connectivity and genetic diversity were analysed with microsatellite markers to relate heat resilience to genetic features and phylogeography. Microsatellite genotyping revealed all sampled populations to be genetically distinct, underlying strong hierarchical structuring between and within southern and northern clades. Genetic diversity was lowest in the isolated population of the North Sea island of Helgoland and highest in Roscoff in the English Channel. Results from the heat stress experiment suggest that the upper temperature limit of <i>L. digitata</i> is nearly identical across its distribution range, but subtle differences we<a>re </a>revealed for the two populations currently at their warm limits. They respectively <a>show</a> a significant advantage in growth at 19°C and 21°C (Quiberon) and a lack of stress responses in photosynthetic quantum yield and xanthophyll pigments at 23°C (Helgoland). In addition, quantum yield indicated the highest heat sensitivity in <i>L. digitata</i> from the northernmost population in Spitsbergen. All together, these results support the hypothesis of moderate local differentiation across <i>L. digitata</i>'s European distribution, whereas effects are likely too weak to ameliorate the species' capacity to withstand ocean warming and marine heatwaves at the southern range edge.</p>
Multiple genetic trajectories to extreme abiotic stress adaptation in Arctic Brassicaceae
<p>Extreme environments offer powerful opportunities to study how different organisms have adapted to similar selection pressures at the molecular level. The Arctic is one of the most hostile environments on Earth, and the few plant species inhabiting this region typically possess suites of similar morphological and physiological adaptations to extremes in light and temperature. Here we compare patterns of molecular evolution in three Brassicaceae species that have independently colonized the Arctic, and present some of the first genetic evidence for plant adaptations to the Arctic environment. By testing for positive selection and identifying convergent substitutions in orthologous gene alignments for a total of 15 Brassicaceae species, we find that positive selection has been acting on different genes, but similar functional pathways in the three Arctic lineages. The positively selected gene sets identified in the three Arctic species showed convergent functional profiles associated with extreme abiotic stress characteristic of the Arctic. However, there was little evidence for independently fixed mutations at the same sites and for positive selection acting on the same genes. The three species appear to have evolved similar suites of adaptations by modifying different components in similar stress response pathways, implying that there could be many genetic trajectories for adaptation to the Arctic environment. By identifying candidate genes and functional pathways potentially involved in Arctic adaptation, our results provide a framework for future studies aimed at testing for the existence of a functional syndrome of Arctic adaptation in the Brassicaceae and perhaps flowering plants in general. </p>
Multi-omics analysis reveals the glycolipid metabolism response mechanism in the liver of Genetically Improved Farmed Tilapia (GIFT, Oreochromis niloticus) under hypoxia stress
<p><span><b>Background: </b>Dissolved oxygen (DO) in the water is a vital abiotic factor in aquatic animal farming. A hypoxic environment affects the growth, metabolism, and immune system of fish. Glycolipid metabolism is a vital energy pathway under acute hypoxic stress, and it plays a significant role in the adaptation of fish to stressful environments. In this study, we used multi-omics integrative analyses to explore the mechanisms of hypoxia adaptation in Genetically Improved Farmed Tilapia (GIFT, <i>Oreochromis niloticus</i>). </span></p> <p><span><b>Results:</b><b> </b>The 96 h median lethal hypoxia (96h-LH50) for GIFT was determined by linear interpolation. We established control (DO: 5 mg/L) groups (CG) and hypoxic stress (96h-LH50) groups (HG) and extracted liver tissues for high-throughput transcriptome and metabolome sequencing. A total of 581 differentially expressed (DE) genes and 1250 DE metabolites were detected between CG and HG, and were annotated using tools at the KEGG database. We verified the transcript levels of eight DE genes by quantitative real-time PCR.</span></p> <p><span><b>Conclusions: </b>Analyses of essential glycolipid metabolism pathways of GIFT under hypoxia stress showed that, after 96 h of hypoxia stress, lipid metabolism became the primary metabolic pathway in GIFT. Our findings reveal the changes in metabolites and gene expression that occur under hypoxia stress, and shed light on the regulatory pathways that function under such conditions. Ultimately, this information will be useful to devise strategies to decrease the damage caused by hypoxia stress in farmed fish.</span></p>
Genetic variance for behavioural 'predictability' of stress response
<p>Genetic factors underpinning phenotypic variation are required if natural selection is to result in adaptive evolution. However, evolutionary and behavioural ecologists typically focus on variation among individuals in their average trait values, and seek to characterise genetic contributions to this. As a result, less attention has been paid to if and how genes could contribute towards within-individual variance, or trait "predictability". In fact, phenotypic 'predictability' can vary among individuals, and emerging evidence from livestock genetics suggests this can be due to genetic factors. Here we test this empirically using repeated measures of a behavioural stress response trait in a pedigreed population of wild-type guppies. We ask (1) whether individuals differ in behavioural predictability, and (2) whether this variation is heritable and so evolvable under selection. Using statistical methodology from the field of quantitative genetics, we find support for both hypotheses and also show evidence of a genetic correlation structure between the behavioural trait mean and individual predictability. We show that investigating sources of variability in trait predictability is statistically tractable, and can yield useful biological interpretation. We conclude that, if widespread, genetic variance for 'predictability' will have major implications for the evolutionary causes and consequences of phenotypic variation. </p>
Figure 1 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 1. The XRD pattern for the used Fe O nanoparticles.
Figure 2 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 2. The XRD pattern for the used ZnO nanoparticles.
Data set for: Genetic dissection of marker trait associations for grain micro-nutrients and thousand grain weight under heat and moisture deficit stress conditions in wheat
<p>The study material in the GWAS panel with 193 bread wheat genotypes from Indian and exotic collections was selected to map the genomic regions responsible for grain iron and Zinc content under drought and heat stress treatments.</p> <p>Phenotypic data:</p> <p>The GWAS panel was evaluated at IARI, New Delhi - DL (28.6550° N, 77.1888° E, MSL 228.61 m) under Irrigated (IR), Restricted Irrigated (RI) and Late sown (LS) treatment conditions over 2 years i.e. 2020 and 2021 with augmented RCBD design. Data was collected on Grain Iron and Grain zinc content along with thousand-grain weight. Around 20 g of grain sample from each of 282 genotypes from the GWAS panel under all three conditions were used for phenotyping GFeC and GZnC through high-throughput Energy Dispersive X-ray Fluorescence (ED-XRF) machine (model X-Supreme 8000; Oxford Instruments plc, Abingdon, United Kingdom) calibrated with glass beads-based values. To record TGW, manual counting of grains was followed and the weight of the grains was recorded in grams with an electronic balance.</p> <p>Genotypic data:</p> <p>Genomic DNA of the GWAS panel was extracted from the leaves of seedlings by Cetyl Trimethyl Ammonium Bromide (CTAB) method. The panel was genotyped using Axiom Wheat Breeder's Genotyping Array (Affymetrix, Santa Clara, CA, United States) having 35,143 genome-wide SNPs. The monomorphic, markers with minor allele frequency (MAF) of <5%, missing data of >10%, and heterozygote frequency >50% were removed from the analysis. The remaining set of 13,947 high-quality SNPs was used in GWAS analysis.</p>
Effect of Drought Stress on the Genetic Architecture of Photosynthate Allocation and Remobilization in Pods of Common Bean (Phaseolus vulgaris L.), a Key Species for Food Security
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Data set for: Genetic dissection of marker trait associations for grain micro-nutrients and thousand grain weight under heat and moisture deficit stress conditions in wheat
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Population genetic differentiation and evolutionary history in <em>Liriodendron</em> revealed by stress related single copy genes
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The same species, not the same invader: Metabolic responses of genetically distinct invasive populations of Dikerogammarus villosus and their intraspecific hybrid to environmental stresses
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Data from: Curation: heat stress responses and population genetics of the kelp Laminaria digitata (Phaeophyceae) across latitudes reveal differentiation among North Atlantic populations
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Allen Brain Atlas
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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.