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406 results for “plant growth”
Fig. 4 in Computational insight into the chemical space of plant growth regulators
Fig. 4. The diversity in heterocycles for the reference compounds: PGRs (a), the whole reference set (b), herbicides (c).
Fig. 3 in Computational insight into the chemical space of plant growth regulators
Fig. 3. The representative examples of compounds from the reference dataset (the corresponding patent application numbers are provided).
Fig. 6 in Computational insight into the chemical space of plant growth regulators
Fig. 6. The Sammon map showing the distribution of the compounds within the related chemical space; outliers indicated by the ellipse are spread beyond the scope of the major set population. Axis per se do not make sense as they simply organize outputted 2D-lattice.
Fig. 7 in Computational insight into the chemical space of plant growth regulators
Fig. 7. The Kohonen map constructed for the whole reference dataset. The scale at the bottom identifies the number of compounds located in a node; the axes indicate the coordinates of neurons within the lattice; the contours are smoothed.
Data and analysis code for the paper 'Assessing the hydromechanical control of plant growth'
Open the record for dataset details and reuse information.
Dataset and code from tensile test experiments - Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants
<p>This data set contains brightfield light microscopy images, extensometer reading and other measurments associated with tensile test experiment performed on <em>Arabidopsis thaliana </em>dark grown hypocotyls of various wildtype and mutant plants, along with the prossessing and quantified data as reported in the study "Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants" (<a href="https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1">https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1</a>). Data was acquired following the method described in the publication. Processing of the raw data was perfomed using the RRQuant workflow (<a href="https://doi.org/10.5281/zenodo.14173186">10.5281/zenodo.14173186</a>).</p>
FIGURE.—A. Phlegmariurus watsonianus (Costa Rica: Stolze 1403, F), Panama: Woodson & Shery 690, MO). A. Growth habit. A1. Close-up of Basal division. A2. Close-up of basally auriculate leaves. A3. Close-up of terminal sporangiate division.—B. Phlegmariurus mollicomus:—(Brazil: Plowman & Martinelli 10128, AAU). B. Growth habit. B1. Close-up of juvenile plant. B2. Close-up of terminal sporangiate division. Drawing by K. Tind in The Lycopodiaceae of Panamá
FIGURE.—A. Phlegmariurus watsonianus (Costa Rica: Stolze 1403, F), Panama: Woodson & Shery 690, MO). A. Growth habit. A1. Close-up of Basal division. A2. Close-up of basally auriculate leaves. A3. Close-up of terminal sporangiate division.—B. Phlegmariurus mollicomus:—(Brazil: Plowman & Martinelli 10128, AAU). B. Growth habit. B1. Close-up of juvenile plant. B2. Close-up of terminal sporangiate division. Drawing by K. Tind
Plant growth over one growing season of Medicago truncatula in competition with conspecifics of different genetic relatedness
<p><span>Kin recognition and kin selection have long been known to occur in animals where it shapes altruistic behavior towards relatives. More recently, studies have found that kin recognition and altered behavior towards kin can also occur in plants. However, inferring the underlying mechanism responsible for variation in plant performance in experimental studies is challenging as often, results can be explained by alternative and non-exclusive mechanisms such as niche differences, kin competition avoidance, and genetic variation in growth rate and competitive ability. Plant-plant interactions may change with the life stage of plants, and competition is often most intense towards the end of plants growing season. However, changes in plant-plant interaction intensity across plants life cycle are rarely considered in kin interaction studies. Here, we adapt a model of plant growth over time modified to specifically include effects of kin and non-kin competition. The model decompose competitive interactions at different stages during plant growth from initial growth to the end of the growing season. It estimates genotype specific variation in growth rate, and how sensitive individual genotypes are to competition neighbors. Furthermore, it estimates size asymmetry among plants accounting for both variation in growth rate, neighbor relatedness, and resource variation (here water availability). We use this model to analyze the results from a competition experiment where plants grew in mini-communities with neighbor plants that were either kin or non-kin. We find that when applied to our experiments, this approach can disentangle kin effects from other effects caused by genotypic variation in growth rate and competitive response to neighbors, and thus significantly help to detect whether plants exhibit kin-cooperative behavior</span></p>
Data for: Effects of nutrient heterogeneity on root foraging and plant growth at the individual and community level
<p>Plants can respond to heterogeneous nutrient distribution through selective root placement to enhance nutrient uptake. It is believed that nutrient heterogeneity can better promote plant growth than homogeneous nutrient distribution, but comprehensive analyses are relatively few. We meta-analyzed the data from 131 comparative studies and synthesized the effects of nutrient heterogeneity on root foraging and plant growth, and examined the roles of patch scale and contrast. Plant responses to nutrient heterogeneity was phylogenetically conserved, and the response in shoot biomass was more correlated with the response in root biomass than with root foraging precision. Root precision depended on competition status, and plants in interspecific competition had lower precision. Community-level responses to nutrient heterogeneity were more significant than individual-level responses. With increasing patch scale, root foraging precision declined, while overall shoot and root responses of individuals increased. Moderate patch contrast significantly increased root responses compared to low and high patch contrast. Our results indicate that plants optimize nutrient acquisition from heterogeneous patches mainly through increasing root growth rate and exploit nutrients more effectively at the community than individual level. Patch attribute mediation of nutrient heterogeneity effects on plants may help design fertilization practices to promote productivity and conserve biodiversity. </p>
Supplementary Information: CHAPTER 2 - Unveiling genomic features linked to traits of plant-growth-promoting bacterial communities from sugarcane
<p>Appendix A. Summary of counts of subreads and circular consensus sequencing (CCS) sequences obtained for PacBio sequencing of SMRT libraries. (EMS_1.xlsx)</p> <p>Appendix B. Taxonomy assignment of MAGs at the higher taxonomic rank obtained from GTDB-tk and Kraken tools. (EMS_2.xlsx)</p> <p>Appendix C. Report of the classification workflow using GTDB-tk. (EMS_3.xlsx)</p> <p>Appendix D. Matrix of the KEGG Orthology (KOs) frequencies annotated by the EnrichM tool. (EMS_4.xlsx)</p> <p>Appendix E. Reconstruction and completeness of KEGG modules annotated by EnrichM. The asterisks (*) in the header represent additional values obtained by the script ‘classKEGGModules.pl’ (https://github.com/dgpinheiro/bioinfoutilities) to estimate PGPTs in KEGG modules. (EMS_5.xlsx)</p> <p>Appendix F. The secondary metabolite biosynthesis gene clusters (BGCs) identified with AntiSMASH. (EMS_6.xlsx)</p> <p>Appendix G. The raw count of plant growth-promoting traits (PGPTs) annotations, according to KEGG Orthology (KO) predictions for MAGs. (EMS_7.xlsx)</p> <p>Appendix H. The raw count of plant growth-promoting traits (PGPTs) that comprises the 39 classes (level 5 hierarchy) identified as enriched according to the results of Pearson's Chi-square test (qvalue ≤ 0.1). (EMS_8.xlsx)</p>
Plant growth-promoting rhizobacteria modulate induced corn defense against Spodoptera litura (Lepidoptera: Noctuidae)
<p>Common cutworm, <em>Spodoptera litura</em> is an important pest of corn causing significant crop yield loss. Synthetic insecticides have mostly been used to combat this pest, raising human and environmental health concerns. Plant-growth promoting rhizobacteria (PGPR) could compensate for or augment the harmful effects of agrochemicals. Herein, we aimed to assess whether PGPR-induced defenses in corn plants impact the host-plant selection behavior of <em>S. litura</em>. Headspace volatile organic compounds (VOCs) were analyzed using Gas chromatography-mass spectrometry (GC-MS). Larvae-fed inoculated corn exhibited lower weights and RGR than non-inoculated plants. Under choice experiments, PGPR-treated plants significantly reduced percentage leaf damage area and oviposition rate compared to untreated plants. VOC ratio emission varied significantly between control and PGPR treatments, which, in part, explains feeding and oviposition deterrence in PGPR-treated plants. The results demonstrate that PGPR inoculation can enhance corn resistance to <em>S. litura</em>, making it a promising candidate for crop protection strategies.</p>
Diverse root strategies associated with fast to slow resource acquisition vary among plant growth forms
<p>Root acquisition strategies at regional and global scales are largely associated with climate, soil resource availability, and plant phylogeny, yet the drivers at the local scale are not well-quantified. We sampled 115 species across five growth forms (i.e. trees, shrubs, lianas, herbs, and ferns) from a temperate forest and measured seven key functional traits of first-order roots, including root morphology, anatomy, and chemistry. Most trait variations were greater among growth forms than within them. Importantly, species aggregated in root economics space separately by growth forms, illustrating consistent differences in soil resource strategies among growth forms from fast to slow acquisition. Such diverse strategies among plant growth forms may allow species to avoid strong competition and promote species coexistence in a local forest community. These findings improve our understanding of the mechanisms underlying community assembly and stability from a below-ground perspective.</p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
FIGURE 11. Cynoglossum wallichii G. Don. Different growth habits. A Plant with single stem branching from below with long inflorescences and elliptical leaves. B Smaller plant branching from the base with ovate leaves. C in A revision of the genus Cynoglossum L. (Boraginaceae Juss.) in Nepal and notes on the widespread Asian species
FIGURE 11. Cynoglossum wallichii G. Don. Different growth habits. A Plant with single stem branching from below with long inflorescences and elliptical leaves. B Smaller plant branching from the base with ovate leaves. C Specimen with single stem, terminal and young, still more or less congested inflorescence and very narrow leaves (A M. Weigend 9169; B. Miyamoto et al. 20210115; C Lowndes 1-082).
Restored legume acts as a 'nurse' to facilitate plant compensatory growth and biomass production in mown grasslands
<p>Legume restoration was conducted in a temperate grassland in Hulunbuir, northeastern Inner Mongolia, China, by reseeding native legumes. This process was followed by annual mowing and phosphorus (P) application over a seven-year period (2014–2020). Throughout this period, we measured aboveground biomass, plant diversity, and the relative biomass of five functional plant groups each year. In 2020, we assessed six functional traits of 15 common plant species in both legume-restored and naturally-restored grasslands, respectively. Using these trait values and relative biomass data, we calculated community-weighted means and functional diversity indices for each plot.</p> <p> </p>
Data from: Within-species tradeoffs in plant-stimulated soil enzyme activity and growth, flowering and seed size
1. Soil microbial communities affect species demographic rates of plants. In turn, plants influence the composition and function of the soil microbiome, potentially resulting in beneficial feedbacks that alter their fitness and establishment. For example, differences in the ability to stimulate soil enzyme activity among plant lineages may affect plant growth and reproduction. 2. We used a common garden study to test differences in plant-stimulated soil enzyme activity between lineages of the same species across developmental stages. 3. Lineages employed different strategies whereby growth, days to flowering and seed size traded-off with plant-stimulated soil enzyme activity. Specifically, the smaller seeded lineage stimulated more enzyme activity at the early stage of development and flowered earlier while the larger seeded lineage sustained lower but consistent enzyme activity through development. 4. We suggest that these lineages, which are both successful invaders, employ distinct strategies (a colonizer and a competitor) and differ in their influence on soil microbial activity. Synthesis. The ability to influence the soil microbial community by plants may be an important trait that trades-off with other growth, flowering and seed size for promoting plant establishment, reproduction and invasion.
FIGURE 2. Hechtia flexilifolia. Staminate plant. A in Three new species and growth patterns in Hechtia (Bromeliaceae: Hechtioideae)
FIGURE 2. Hechtia flexilifolia. Staminate plant. A. Part of rosette and peduncle. B. Inflorescence originates in a young rosette (pattern SPFP). C. Branches of the inflorescences are initially pendulous. D. Flowers at anthesis. E. Branches. (Photographs by Ivón Ramírez)
Reduced precipitation lessens the scaling of growth to plant N in mesic grasslands
<p>Grassland production is sensitive to both precipitation and plant N accumulation and utilization, such that change in one variable influences grassland response to the second variable. We investigated effects of interannual variation in precipiation on the response of 'community'-scale values of relative growth rate (RGR) to two multiplicative components of RGR, nitrogen productivity (NP; rate of change in biomass/plant N), an index of N utilization efficiency, and plant N concentration ([N]), in two grassslands in Texas, USA. Grasslands included a planted mixture of perennial grass and forb species and a monoculture of the perennial C4 grass Panicum vigatum that was invaded by multiple plant species. RGR and its N components were measured at the spatial scale of 7-m diameter circular patches near the spring peak in mixture biomss during each of 5 years. We found that RGR varied substantially among patches and years and between the planted mixture and monoculture. RGR variation was strongly correlated with variation in NP. Precipitation during the 3 months prior to RGR measurement mediated that RGR response to NP by altering the correlation between NP and [N] in both grasslands. Reduced precipitation led to more negative NP-[N] correlation coefficients, which reduced proportional change in RGR per change in NP by as much as 30% even in the absence of a precipitation effect on means of RGR and NP. Our results highlight an under-appreciated aspect of the pervasive role of precipitation in grassland growth that was mediated via change in the growth benefit derived from plant N.</p>
Dataset for "A shift in plant growth strategy is caused by increased nutrient requirements due to polyploidy in Heuchera cylindrica".
<p>Dataset for "A shift in plant growth strategy is caused by increased nutrient requirements due to polyploidy in <em>Heuchera cylindrica</em>". </p>
Effects of plant-available soil silicon on seedling growth and foliar nutrient status across tropical tree species
<p>Plant-available silicon (Si) concentrations vary considerably across tropical soils, yet the ecological importance of that variation remains largely unresolved. Increased Si availability can enhance growth and modulate foliar nutrient status in many crop species suggesting similar effects might occur in natural systems. However, how growth, foliar Si, and macronutrient concentrations, as well as their stoichiometry, respond to plant-available Si and how these responses differ across tropical tree species is unknown.</p> <p>We experimentally exposed seedlings of 12 tropical tree species to a gradient of plant-available Si concentrations, representing 85% of the variation found across Central Panama, and assessed responses in aboveground growth and foliar nutrient status. Furthermore, we assessed whether higher plant-available Si increases P availability.</p> <p>Increasing plant-available Si led to increased foliar Si concentrations (by up to 140%). It also led to higher aboveground growth (by up to 220%), and it affected foliar C and N concentrations, and nutrient stoichiometry across species. However, at the species level, only a small subset of two to four species showed significant growth and foliar nutrient responses. At the soil level, plant-available P remained unchanged along the experimental soil Si gradient.</p> <p>Our results showed that Si can improve growth and/or modulate foliar nutrient status in a number of tropical tree species. Furthermore, species' growth and foliar nutrient concentrations might vary differently across tropical forest sites varying in plant-available Si. Additionally, Si-induced responses in foliar nutrient stoichiometry have the potential to affect herbivory and litter decomposition. Taken together, natural variation in plant-available Si might influence plant performance unequally across tropical tree species, and change trophic interactions, with potential implications for ecosystem processes.</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.