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330 results for “seed plant”
Biomass Allocation and Growth Data of Seeded Plants
This data set of leaf, stem, and root biomass for various plant taxa was compiled from the primary literature of the 20th century with a significant portion derived from Cannell (1982). Recent allometric additions include measurements made by Niklas and colleagues (Niklas, 2003). This is a unique data set with which to evaluate allometric patterns of standing biomass within and across the broad spectrum of vascular plant species. Despite its importance to ecology, global climate research, and evolutionary and ecological theory, the general principles underlying how plant metabolic production is allocated to above- and below-ground biomass remain unclear. The resulting uncertainty severely limits the accuracy of models for many ecologically and evolutionarily important phenomena across taxonomically diverse communities. Thus, although quantitative assessments of biomass allocation patterns are central to biology, theoretical or empirical assessments of these patterns remain contentious.
Methyl jasmonate seed treatment mitigates the defense-growth trade-off and tailors plant response to specific pests
GEO Series GSE287464. Arabidopsis thaliana. 24 samples. Type: Expression profiling by high throughput sequencing.
The Arabidopsis Zinc Finger Protein 3 integrates ABA and light signaling in seed germination and plant development
GEO Series GSE48661. Arabidopsis thaliana. 4 samples. Type: Expression profiling by high throughput sequencing.
Single-cell and spatial omics reveal progressive loss of xylem developmental complexity across seed plants
GEO Series GSE253891. Cunninghamia lanceolata. 3 samples. Type: Expression profiling by high throughput sequencing.
Plant DNA methylation sensitive to parent seed N content and mediated the influence of external nitrogen on OsNAR2.1 overexpression rice growth
GEO Series GSE160884. Oryza sativa. 8 samples. Type: Methylation profiling by high throughput sequencing.
Data from: Altitudinal biodiversity patterns of seed plants along Gongga Mountain in the southeastern Qinghai-Tibetan Plateau
The mechanisms underlying elevation patterns in species and phylogenetic diversity remain a central issue in ecology and are vital for effective biodiversity conservation in the mountains. Gongga Mountain, located in the southeastern Qinghai-Tibetan Plateau, represents one of the longest elevational gradients (ca. 6500 m, from ca. 1000 - 7556 m) in the world for studying species diversity patterns. However, the elevational gradient and conservation of plant species diversity and phylogenetic diversity in this mountain remain poorly studied. Here, we compiled the elevational distributions of 2,667 native seed plant species occurring in Gongga Mountain, and estimated the species diversity, phylogenetic diversity, species density, and phylogenetic relatedness across ten elevation belts and five vegetation zones. The results indicated that species diversity and phylogenetic diversity of all seed plants showed a hump-shaped pattern, peaking at 1800 - 2200 m. Species diversity was significantly correlated with phylogenetic diversity and species density. The floras in temperate coniferous broad-leaved mixed forests, sub-alpine coniferous forests and alpine shrublands and meadows were significantly phylogenetically clustered, whereas the floras in evergreen broad-leaved forests had phylogenetically random structure. Both climate and human pressure had strong correlation with species diversity, phylogenetic diversity and phylogenetic structure of seed plants. Our results suggest that the evergreen broad-leaved forests and coniferous broad-leaved mixed forests at low to mid elevations deserve more conservation efforts. This study improves our understanding on the elevational gradients of species and phylogenetic diversity and their determinants, and provides support for improving seed plants conservation in Gongga Mountain.
Data from: A field experiment demonstrating plant life-history evolution and its eco-evolutionary feedback to seed predator populations
The extent to which evolutionary change occurs in a predictable manner under field conditions and how evolutionary changes feed back to influence ecological dynamics are fundamental, yet unresolved, questions. To address these issues, we established eight replicate populations of native common evening primrose (Oenothera biennis). Each population was planted with 18 genotypes in identical frequency. By tracking genotype frequencies with microsatellite DNA markers over the subsequent three years (up to three generations, ≈5,000 genotyped plants), we show rapid and consistent evolution of two heritable plant life-history traits (shorter life span and later flowering time). This rapid evolution was only partially the result of differential seed production; genotypic variation in seed germination also contributed to the observed evolutionary response. Since evening primrose genotypes exhibited heritable variation for resistance to insect herbivores, which was related to flowering time, we predicted that evolutionary changes in genotype frequencies would feed back to influence populations of a seed predator moth that specializes on O. biennis. By the conclusion of the experiment, variation in the genotypic composition among our eight replicate field populations was highly predictive of moth abundance. These results demonstrate how rapid evolution in field populations of a native plant can influence ecological interactions.
Data from: Species richness and phylogenetic diversity of seed plants across vegetation zones of Mount Kenya, East Africa
Mount Kenya is of ecological importance in tropical east Africa due to the dramatic gradient in vegetation types that can be observed from low to high elevation zones. However, species richness and phylogenetic diversity of this mountain have not been well studied. Here, we surveyed distribution patterns for a total of 1,335 seed plants of this mountain and calculated species richness and phylogenetic diversity across seven vegetation zones. We also measured phylogenetic structure using the net relatedness index (NRI) and the nearest species index (NTI). Our results show that lower montane wet forest has the highest level of species richness, density, and phylogenetic diversity of woody plants, while lower montane dry forest has the highest level of species richness, density, and phylogenetic diversity in herbaceous plants. In total plants, NRI and NTI of four forest zones were smaller than three alpine zones. In woody plants, lower montane wet forest and upper montane forest have overdispersed phylogenetic structures. In herbaceous plants, NRI of Afro‐alpine zone and nival zone are smaller than those of bamboo zone, upper montane forest, and heath zone. We suggest that compared to open dry forest, humid forest has fewer herbaceous plants because of the closed canopy of woody plants. Woody plants may have climate‐dominated niches, whereas herbaceous plants may have edaphic and microhabitat‐dominated niches. We also proposed lower and upper montane forests with high species richness or overdispersed phylogenetic structures as the priority areas in conservation of Mount Kenya and other high mountains in the Eastern Afro‐montane biodiversity hotspot regions.
Data from: A genome for gnetophytes and early evolution of seed plants
Gnetophytes are an enigmatic gymnosperm lineage comprising three genera, Gnetum, Welwitschia and Ephedra, which are morphologically distinct from all other seed plants. Their distinctiveness has triggered much debate as to their origin, evolution and phylogenetic placement among seed plants. To increase our understanding of the evolution of gnetophytes, and their relation to other seed plants, we report here a high-quality draft genome sequence for Gnetum montanum, the first for any gnetophyte. By using a novel genome assembly strategy to deal with high levels of heterozygosity, we assembled >4 Gb of sequence encoding 27,491 protein-coding genes. Comparative analysis of the G. montanum genome with other gymnosperm genomes unveiled some remarkable and distinctive genomic features, such as a diverse assemblage of retrotransposons with evidence for elevated frequencies of elimination rather than accumulation, considerable differences in intron architecture, including both length distribution and proportions of (retro) transposon elements, and distinctive patterns of proliferation of functional protein domains. Furthermore, a few gene families showed Gnetum-specific copy number expansions (for example, cellulose synthase) or contractions (for example, Late Embryogenesis Abundant protein), which could be connected with Gnetum's distinctive morphological innovations associated with their adaptation to warm, mesic environments. Overall, the G. montanum genome enables a better resolution of ancestral genomic features within seed plants, and the identification of genomic characters that distinguish Gnetum from other gymnosperms.
Figure 5 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 5 - Taxonomic coverage (percentage per family) of URJC GB.
Figure 8 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 8 - Geographical distribution of accessions in Peninsular Spain.
Figure 6 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 6 - Geographical distribution of the germplasm subcollections in Peninsular Spain.
Figure 4 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 4 - Taxonomic coverage (percentage per order) of URJC GB.
Figure 9 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 9 - URJC Germplasm Bank workflow.
Figure 1 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 1 - Number of accessions and species in the different subcollections of the URJC GB.
Figure 7 from: Alonso P, Iriondo J (2014) URJC GB dataset: Community-based seed bank of Mediterranean high-mountain and semi-arid plant species at Universidad Rey Juan Carlos (Spain). PhytoKeys 35: 57-72. https://doi.org/10.3897/phytokeys.35.6746
Figure 7 - Temporal coverage in the different subcollections of the URJC GB.
Apoplastic lipid barriers regulated by conserved homeobox transcription factors extend seed longevity in multiple plant species
GEO Series GSE154886. Arabidopsis thaliana. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Data from: A genome for gnetophytes and early evolution of seed plants
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Data from: An individual-based model of seed and rhizome propagated perennial plant species and sustainable management of Sorghum halepense in soybean production systems in Argentina
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Data from: Evidence of a component Allee effect driven by predispersal seed predation in a plant (Pedicularis rex, Orobanchaceae)
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International Brain Laboratory public data
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OpenNeuro
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