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248 results for “tree of life”
FIGURE 7 in The Tree of Life Web Project*
FIGURE 7. First sections of some example treehouse pages. From top to bottom, they are: "Nighttime Bug Watching", by Katja Schulz; "Memoirs of a Pacific Treefrog", by a student at Havergal College, a secondary school in Toronto, and "The Study of Fruit Fly Genetics at City High School", by Molly Renner, Kathryn Orzech, and Lisa Schwartz.
FIGURE 6 in The Tree of Life Web Project*
FIGURE 6. Schematic of the Tree of Life Web Project showing the groups best represented, with areas approximately proportional to number of pages, and darkness approximately proportional to fraction of pages that are completed.
FIGURE 4 in The Tree of Life Web Project*
FIGURE 4. First sections of some example leaf pages. From top to bottom, they are: Atlantoxerus getulus (Steppan & Hamm, 2006), Atlanta californiensis (Seapy, 2005), Scyphostegia borneensis (Alford, 2007), and Cranchia scabra (Young & Mangold, 2007).
FIGURE 3 in The Tree of Life Web Project*
FIGURE 3. First sections of some example branch pages. From top to bottom, they are: Annelida (Rouse et al., 2002); Angiosperms (Soltis et al., 2005), Agaricomycotina (Hibbett, 2007a), and Heliconiini (Beltrán et al., 2007).
Multicellularity and sex helped shape the Tree of Life
<p>Across the Tree of Life, there are dramatic differences in species numbers among groups. However, the factors that explain the differences among the deepest branches have remained unknown. We tested whether multicellularity and sexual reproduction might explain these patterns, since the most species-rich groups share these traits. We found that groups with multicellularity and sexual reproduction have accelerated rates of species proliferation (diversification), and that multicellularity has a stronger effect than sexual reproduction. Patterns of species richness among clades are then strongly related to these differences in diversification rates. Taken together, these results help explain patterns of biodiversity among groups of organisms at the very broadest scales. They may also help explain the mysterious preponderance of sexual reproduction among species (the "paradox of sex") by showing that organisms with sexual reproduction proliferate more rapidly. </p>
FIGURE 1. Neighbor-joining tree derived from mitochondrial cytochrome oxidase 1 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 1. Neighbor-joining tree derived from mitochondrial cytochrome oxidase 1 sequences showing genetic lineages of Apogon species from Bahamas (BAH), Belize (BLZ), Curaçao (CUR), Florida (FCC, FWRI, SMS), and Saba Bank (SAB). L = larva, J = juvenile, A = adult.
Preserving the woody plant tree of life in China under future climate and land-cover changes
<p><span>The tree of life (TOL) is severely threatened by climate and land-cover changes. Preserving the TOL is urgent, but has not been included in the post-2020 global biodiversity framework. Protected areas (PAs) are fundamental for biological conservation. However, we know little about the effectiveness of existing PAs in preserving the TOL of plants and how to prioritize PA expansion for better TOL preservation under future climate and land-cover changes. Here, using high-resolution distribution maps of 8732 woody species in China and phylogeny-based Zonation, we find that current PAs perform poorly in preserving the TOL </span><span>both at the present and in the 2070s</span><span>. The geographical coverage of TOL branches by current PAs is ca. 9%, and < 3% of the identified priority areas for preserving the TOL are currently protected. Interestingly, the geographical coverage of TOL branches by PAs will be improved from 9% to 52–79% by the identified priority areas for PA expansion. Human pressures in the identified priority areas are high, leading to high costs for future PA expansion. We thus suggest that besides nature reserves and national parks, other effective area-based conservation measures should be considered. Our study argues for the inclusion of preserving the TOL in the post-2020 conservation framework and provides references for decision-makers </span><span>to preserve the Earth's evolutionary history.</span></p>
Figure 4 in Tales from the crypt: genome mining from fungarium specimens improves resolution of the mushroom tree of life
Figure 4. Consensus trees of individual gene trees. Left: extended majority-rule consensus (MRE) tree based on bootstrap replicates of individual gene analyses for all genes with no missing taxa (N = 175). Numbers above branches are internode certainty (IC) and internode certainty all (ICA) values for all individual bootstrap trees compared to the MRE tree. Numbers in bold represent nodes that are not present in the ASTRAL tree (right). Right: coalescentbased consensus tree recovered by ASTRAL using 208 single gene maximum likelihood trees from RAXML analysis. Numbers in bold above branches are IC, ICA values for all individual bootstrap trees that are not present in the MRE tree (left). Numbers below branches are bootstrap supports based on single gene bootstrap analysis (100 replicates each).
Figure 3 in Tales from the crypt: genome mining from fungarium specimens improves resolution of the mushroom tree of life
Figure 3. Phylogenetic analysis of the order Agaricales based on a 208 single copy loci combined dataset. Chronogram is based on a partitioned analysis using RAXML with branch lengths transformed to reflect time using correlated penalized likelihood. Numbers next to branches indicate percent support from 50 nonparametric bootstraps.
Figure 6. Best maximum likelihood phylogeny using a in Tales from the crypt: genome mining from fungarium specimens improves resolution of the mushroom tree of life
Figure 6. Best maximum likelihood phylogeny using a concatenated dataset of the 27 genes composing the best combination of top-ranked loci using five ranking criteria identified using measures of Tree Certainty (Salichos & Rokas, 2013). Numbers above branches (red) are bootstrap percentages based on the combined bootstrap replicates. Numbers below branches and adjacent to nodes indicate internode certainty (IC) and internode certainty all (ICA) values of the individual gene bootstrap trees compared with the best maximum likelihood tree depicted. Family/clade designations (fide Matheny et al., 2006 except 1 fide Henkel, Smith & Aime, 2010 and 2 fide Nakasone, Hibbett & Goranova, 2009) are indicated to the right of terminal labels and suborders are named with capital letters at the far right.
Figure 2 in Tales from the crypt: genome mining from fungarium specimens improves resolution of the mushroom tree of life
Figure 2. Summary of data quality. A, distribution of alignment lengths for 208 loci after GBlocks processing. B, correlation of assembly quality (N50) and percent alignment coverage.
Data from: Fine-scale spatial genetic dynamics over the life-cycle of the tropical tree Prunus africana
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Data from: The evolution of energetic scaling across the vertebrate tree of life
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Data from: Phylogeny, palaeontology, and primates: do incomplete fossils bias the tree of life?
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Data from: Expanding anchored hybrid enrichment to resolve both deep and shallow relationships within the spider tree of life
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Data from: Effects of growth rate, size, and light availability on tree survival across life stages: a demographic analysis accounting for missing values and small sample sizes
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Data from: Quartet Sampling distinguishes lack of support from conflicting support in the green plant tree of life
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Data from: Effects of altitude, land use and microsites on the early-life performance of a high mountain tree: insights from an in situ sowing experiment.
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A target enrichment probe set for resolving the flagellate land plant tree of life
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Data from: Tropical tree height and crown allometries for the Barro Colorado Nature Monument, Panama: a comparison of alternative hierarchical models incorporating interspecific variation in relation to life history traits
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Allen Brain Atlas
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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.