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30 results for “plant growth rate”
Fig. 5 in Overexpression of DsEXLA2 gene from Dendrocalamus sinicus accelerates the plant growth rate of Arabidopsis
Fig. 5. Subcellular localization of DsEXLA2 in the epidermal leaf cells of tobacco. 35S-YFP and 35S::DsEXLA2-YFP fusion protein were transiently expressed in tobacco, respectively. The 35S-YFP vector was used as a negative control.
Fig. 9 in Overexpression of DsEXLA2 gene from Dendrocalamus sinicus accelerates the plant growth rate of Arabidopsis
Fig. 9. RNA-seq analysis of 35S::DsEXLA2 transgenic plants. A: Volcano map of DEGs. B: Expression level of expansin–like family genes. C: Enrichment bubble map of KEGG_pathway in up-regulated genes. D: Enrichment bubble map of KEGG_pathway in down-regulated genes.
Fig. 4 in Overexpression of DsEXLA2 gene from Dendrocalamus sinicus accelerates the plant growth rate of Arabidopsis
Fig. 4. Expression analysis of DsEXLA2 in D. sinicus. A: Sample schematic of culm. B: qRT-PCR analysis of the DsEXLA2 gene expression in different internodes. C: qRT-PCR analysis the DsEXLA2 gene expression in different tissues. D: sqRT-PCR analysis of the DsEXLA2 gene expression in different internodes. E: sqRT-PCR analysis the DsEXLA2 gene expression in different tissues. Different letters in the column line indicate differences at p <0.05 based on the Duncan test, respectively. Bars represent ST.
Fast and furious: Early differences in growth rate drive short-term plant dominance and exclusion under eutrophication
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Data from: Contemporary evolution of plant growth rate following experimental removal of herbivores
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Data from: Suppression of the invasive plant mile-a-minute (Mikania micrantha) by local crop sweet potato (Ipomoea batatas) by means of higher growth rate and competition for soil nutrients
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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
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.
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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Fig. 6 in Overexpression of DsEXLA2 gene from Dendrocalamus sinicus accelerates the plant growth rate of Arabidopsis
Fig. 6. Phenotypic analysis of 35S::DsEXLA2 transgenic plants. A: Phenotype of 4-week-old plants. B: Phenotype of 6-week-old plants. C: Leaf phenotype. D: Plant height. E: Stem diameter. F: Epidermal hair phenotype. G: Stomatal phenotype. H: Leaf length. I: Epidermal hair number. J: Stomatal aperture. Line 3, 9 and 10 represent the three independent transgenic lines selected. *p <0.05; **p <0.01 (Student's t-test). Bars represent ST. The scales in A, B, C, F, G represent 2 cm, 2 cm, 1 cm, 200 μm, 5 μm, respectively.
Arabidopsis NAP-related proteins (NRPs) contribute to the coordination of plant growth, developmental rate, and age-related pathogen resistance under short days
GEO Series GSE99982. Arabidopsis thaliana. 6 samples. Type: Expression profiling by high throughput sequencing.
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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.
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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.