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383 results for “growth analysis”
Data from: Earthworms affect plant growth and resistance against herbivores: a meta-analysis
1. Subterranean detritivores such as earthworms can increase soil nutrient availability through their burrowing and casting activities. A number of recent studies have explored whether these changes caused by earthworms may in turn affect plant performance and resistance to herbivores, but no formal synthesis of this literature has been conducted to date. 2. We here formally tested for the effects of earthworms on plant growth, resistance and chemical defence against insect herbivores by performing a meta-analysis of the existing literature up to 2016. We also explored ecological factors that might explain among-studies variation in the magnitude of the earthworm effects on plant growth and resistance. 3. We found that earthworm presence increases plant growth (by 20 %) and nitrogen content (by 11 %). Overall, earthworms did not affect plant resistance against chewing herbivores (caterpillars, slugs and rootworms), and even led to a 22 % decrease in plant resistance against phloem-feeding herbivores (aphids). However, earthworm presence increased production of chemical defences by 31% when plants where attacked by cell-feeders (thrips), and resulted in an 81 % increase in resistance against thrips. The magnitude of earthworm effects was stronger when earthworm inoculations consisted of a mix of species and ecological types, and when densities of earthworms were high. 4. These results suggest that earthworm presence is an important factor underlying natural variation in plant defences against herbivores, and call for a better integration of the soil fauna in the studies of plant-herbivore interaction, both for applied and fundamental research.
Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
A plant's growth rate is seen as a central element of its ecological strategy, and as determined by its traits.Yet the literature is inconsistent about the empirical correlation between functional traits and growth, casting doubt on the capacity of some prominent traits to influence growth rate. We propose that traits should influence growth in a way that depends on the size of individual plants. We outline mechanisms and hypotheses based on new theoretical work, and test these predictions in tree species using a meta-analysis of 103 studies (> 500 correlations) for five traits (specific leaf area, wood density, maximum height, seed mass and maximum assimilation rate).We also recorded data for 14 other traits commonly used in the trait literature.To capture the effects of plant size, we tested for a shift in the direction of correlation between growth rates and each trait across three ontogenetic stages: seedling,sapling and adult. Results were consistent with predictions, although there were some limitations arising from unequal numbers of observation across ontogenetic stages.Specific leaf area was correlated with relative growth rate in seedlings but not in adult plants.Correlations of growth with wood density were not affected by ontogenetic stage. Seed mass, assimilation rate and maximum height were correlated with relative growth rate only in one ontogenetic stage category: seedlings,seedlings and adults,respectively. Although we were able to confirm several of our theoretical predictions,major knowledge gaps still exist in the trait literature.For example,for one third of the traits considered,the majority (> 75%) of reported correlations with growth came from the same ontogenetic stage. Synthesis: We show for some traits, how trait-growth correlations change in a predictable way with plant size.Our understanding of plant strategies should shift away from describing species as having a fixed growth strategy throughout their life (on a continuous axis from slow to fast growth), in favour of a size-dependent growth trajectories.
In Vitro Analysis of Guava (Psidium Guajava Linn) and Papaya (Carita Papaya L.) Leaves Extract Combination Against Escherichia Coli Growth
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Global gene expression analysis of Streptococcus agalactiae at exponential growth phase_Table 2
<p>Top-100 most expressed genes by functional category.</p>
Data from: A longitudinal analysis of the growth rate and mass of tail feathers in a great tit population: ontogeny, genetic effects and relationship between traits
<p class="MsoNoSpacing">Feathers have a diversity of functions in birds and are costly to produce, so their growth rate and mass can be reliable indicators of nutritional condition at the time of production. Despite the potential for feather metrics to advance our understanding of foraging, they are underused in avian ecology. One reason for this is the difficulty of interpreting whether individual variation is driven by ontogenetic, genetic, or environmental effects, which is exacerbated by the fact that most analyses have been done on cross-sectional data. We addressed this deficit using a longitudinal dataset of tail feathers collected from Great tits <em>Parus major</em> to test for ontogenetic and genetic effects on growth rate, mass and length, while controlling for body/feather size differences and other confounding factors. First, we found that the type of moult episode and experimentally-induced replacement differentially affected the length, mass and growth of feathers, providing evidence of an ontogenetic effect that should be considered when comparing these feather traits across individuals as a measure of condition. Second, we detected moderate to high repeatability and heritability values from parent-offspring regression for these three feather traits, which are suggestive of an underlying genetic component of variation. Third, we used a mean centring within-individual approach to test whether feather growth rate and feather mass (length-corrected) are indeed positively correlated with each other as overlapping indicators of body condition in birds, and found that this association, although positive, is weak and only significant between individuals. This suggests that both metrics are not so intimately linked as originally thought, and probably have different sensitivities to variation in foraging performance and ecological conditions. Together with the higher plasticity of feather growth rate compared to feather mass, our results support the idea that feather growth rate is better suited for examining short-term responses to environmental variation.</p>
An empirical analysis of AfCFTA economic growth prospects in the SADC region Evidence using ARDL-PMG estimation techniques: Dataset
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Database for Effects of ground-based forest operations on the aboveground and belowground growth of seedlings – a meta-analysis
<p>Database for a meta-analysis submitted to Croatian Journal of Forest Engineering</p>
Data to reproduce bioinformatics analysis of "Morphoregulatory ADD3 underlies glioblastoma growth and formation of tumor-tumor connections"
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Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
Genetic engineering has been increasingly applied to many commercially important plant and animal species, generating phenotypic changes that are not observed in natural populations and creating genetic interactions that have not experienced natural selection. The degree to and way in which such human-induced genetic variation interacts with the rest of the genome is currently largely unknown. Integrating such information into ecological and risk assessment frameworks is crucial to understand the potential effects of genetically modified organisms in natural environments. Here, we performed QTL mapping to investigate the genetic architecture of growth-related traits in non-transgenic (NT) and growth hormone transgenic (T) coho salmon with large changes in growth and related physiology, with the aim of identifying how an inserted transgene might influence the opportunity for selection. These fish shared the same parental genetic background, thus allowing us to determine whether the same or different loci influence these traits within the two groups. The use of over 1700 loci, derived from Restriction site Associated DNA Sequencing, revealed that different genomic regions were linked with growth over time between the two groups. Additionally, the effect sizes of detected QTL appear to have been influenced by the transgene. Direct comparison of QTL between the T and NT fish during two size-matched periods identified little overlap in their location. Taken together, the results showed that the transgene altered the genetic basis of growth-related traits in this species. The study has important implications for effective conservation and management of wild populations experiencing introduction of transgenes. Evolutionary changes and their ecological consequences may occur at different rates and in different directions in NT versus T individuals in response to selection. Thus assessments of phenotypic change, and hence ecological risk, should be determined periodically to evaluate whether initial estimates made with founder strains remain valid.
Data from: Trajectory energy minimisation for cell growth tracking and genealogy analysis
Cell growth experiments with a microfluidic device produce large-scale time-lapse image data, which contain important information on cell growth and patterns in their genealogy. To extract such information, we propose a scheme to segment and track bacterial cells automatically. In contrast with most published approaches, which often split segmentation and tracking into two independent procedures, we focus on designing an algorithm that describes cell properties evolving between consecutive frames by feeding segmentation and tracking results from one frame to the next one. The cell boundaries are extracted by minimizing the distance regularized level set evolution (DRLSE) model. Each individual cell was identified and tracked by identifying cell septum and membrane as well as developing a trajectory energy minimization function along time-lapse series. Experiments show that by applying this scheme, cell growth and division can be measured automatically. The results show the efficiency of the approach when testing on different datasets while comparing with other existing algorithms. The proposed approach demonstrates great potential for large-scale bacterial cell growth analysis.
Real-world Treatment Patterns of Endocrine Based Therapy Among Patients With Hormone Receptor-positive/Human Epidermal Growth Factor Receptor-2-negative (HR+/HER2-) Advanced Breast Cancer: An Analysis
ClinicalTrials.gov study NCT05153187. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Trajectory energy minimisation for cell growth tracking and genealogy analysis
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Data from: Earthworms affect plant growth and resistance against herbivores: a meta-analysis
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Data from: A longitudinal analysis of the growth rate and mass of tail feathers in a great tit population: ontogeny, genetic effects and relationship between traits
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Data from: On the link between functional traits and growth rate: meta-analysis shows effects change with plant size, as predicted
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Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
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Data from: Meta-analysis reveals enhanced growth of marine harmful algae from temperate regions with warming and elevated CO2 levels
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Data from: Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis
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Data from: Meta-analysis indicates that oxidative stress is both a constraint on and a cost of growth
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Fluorescent in situ hybridization of Mycobacterium tuberculosis rRNA species for analysis of ribosomal synthesis as a marker of bacterial growth of individual bacilli in distinct lesional microenvironments of lung granulomas from C3HeB/FeJ mice
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.