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1,104 results for “morphological variations”
Data from: Extensive variation in sperm morphology in a frog with no sperm competition
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Data from: Predicting contemporary range-wide genomic variation using climatic, phylogeographic and morphological knowledge in an ancient, unglaciated landscape
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Morphological variation in the Vriesea procera complex (Bromeliaceae, Tillandsioideae) in the Brazilian Atlantic Rainforest, with recognition of new taxa
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Data from: Are sympatrically speciating Midas cichlid fish special? Patterns of morphological and genetic variation in the closely related species Archocentrus centrarchus
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Comparative analysis of genetic and morphological variation within the Platanthera hyperborea complex (Orchidaceae)
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Variation in purple sea urchin (Strongylocentrotus purpuratus) morphological traits in relation to resource availability
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Data and Code for Publication "Testing the Utility of Dental Morphological Trait Combinations for Inferring Human Neutral Genetic Variation"
<p>Data and code for publication: H. Rathmann, H. Reyes-Centeno, Testing the utility of dental morphological trait combinations for inferring human neutral genetic variation. <em>Proc. Natl. Acad. Sci. U.S.A.</em> 117, 10769-10777 (2020). DOI: 10.1073/pnas.1914330117</p> <p>The repository contains:</p> <ul> <li>“R-code.txt”: R code for an exhaustive search algorithm testing the utility of dental morphological traits and trait combinations for inferring human neutral genetic variation.</li> <li>“dental trait frequencies.csv”: Data set with 27 dental morphological trait frequencies for 20 modern human populations worldwide used for analysis. Data from G. R. Scott, C. G. Turner, G. C. Townsend, M. Martinón-Torres, <em>The Anthropology of Modern Human Teeth</em> (Cambridge University Press, 2018). DOI: 10.1017/ 9781316795859</li> <li>“microsatellite loci mean sizes.csv”: Data set with 645 microsatellite mean allele sizes for 20 modern human populations worldwide used for analysis. Data from T. J. Pemberton, M. DeGiorgio, N. A. Rosenberg, Population structure in a comprehensive genomic data set on human microsatellite variation. <em>G3: Genes Genom. Genet.</em> 3, 891–907 (2013). DOI: 10.1534/g3.113.005728</li> <li>“utility estimates for 134217727 trait combinations.txt”: A large table with utility estimates for 27 dental morphological traits and all 134,217,700 possible trait combinations.</li> </ul> <p>Abbreviations for the 20 population names (rows) in “dental trait frequencies.csv” and “microsatellite loci mean sizes.csv” as follows:</p> <ul> <li>AUS = Australia</li> <li>CAS = Central Asia</li> <li>EAF = Eastern Africa</li> <li>EAS = East Asia</li> <li>EEU = Eastern Europe</li> <li>IND = India</li> <li>MAM = Mesoamerica</li> <li>MEL = Melanesia</li> <li>MIC = Micronesia</li> <li>NAF = North Africa</li> <li>NAM = North America</li> <li>NESI = Northeast Siberia</li> <li>NGU = New Guinea</li> <li>NWAM = Na-Dene</li> <li>POL = Polynesia</li> <li>SAM = South America</li> <li>SAN = San</li> <li>SEAS = Southeast Asia</li> <li>WEU = Western Europe</li> <li>WSAF = Sub-Saharan Africa</li> </ul> <p>Abbreviations for the 27 dental morphological trait names (columns) in “dental trait frequencies.csv” as follows:</p> <ul> <li>T1 = Winging (UI1)</li> <li>T2 = Shoveling (UI1)</li> <li>T3 = Double-Shoveling (UI1)</li> <li>T4 = Interruption Grooves (UI2)</li> <li>T5 = Tuberculum Dentale (UI2)</li> <li>T6 = Mesial Ridge (UC)</li> <li>T7 = Distal Accessory Ridge (UC)</li> <li>T8 = Hypocone (UM2)</li> <li>T9 = Carabelli Trait (UM1)</li> <li>T10 = Cusp 5 (UM1)</li> <li>T11 = Enamel Extensions (UM1)</li> <li>T12 = Peg-Reduced-Missing (UM3)</li> <li>T13 = Lingual Cusp Number (LP2)</li> <li>T14 = Groove Pattern (LM2)</li> <li>T15 = Cusp 6 (LM1)</li> <li>T16 = Cusp Number (LM2)</li> <li>T17 = Deflecting Wrinkle (LM1)</li> <li>T18 = Distal Trigonid Crest (LM1)</li> <li>T19 = Protostylid (LM1)</li> <li>T20 = Cusp 7 (LM1)</li> <li>T21 = Odontomes (UP-LP)</li> <li>T22 = Root Number (UP1)</li> <li>T23 = Root Number (UM2)</li> <li>T24 = Root Number (LC)</li> <li>T25 = Tomes’ Root (LP1)</li> <li>T26 = Root Number (LM1)</li> <li>T27 = Root Number (LM2)</li> </ul> <p>Abbreviations for the 645 microsatellite allele locus names (columns) in “microsatellite loci mean sizes.csv” as in T. J. Pemberton, M. DeGiorgio, N. A. Rosenberg, Population structure in a comprehensive genomic data set on human microsatellite variation. <em>G3: Genes Genom. Genet.</em> 3, 891–907 (2013). DOI: 10.1534/g3.113.005728</p>
Fig. 2 in Morphological and mitochondrial-DNA variation in Rhinolophus rouxii (Chiroptera)
Fig. 2: Geographical representation of clusters A-D from discriminant analysis of male individuals.
Fig. 8 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 8. Dendograms obtained from the (A) NJ clustering and (B) UPGMA, using Euclidean distances between group means by combining all data (shape information from dorsal, ventral and lateral views). Branch bootstrap support shown at the nodes, 10 000 replicates.
Fig. 2 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 2. Landmarks positioned on the cranium of Meriones crassus Sundevall, 1842 shown in (A) ventral (B) dorsal and (C) lateral views. The straight lines on the ventral and lateral views were used for defining semi-landmarks based on two other landmarks. Open circles on the ventral side: the most rostral and on the most caudal point of the tympanic bulla, and on the lateral side: the most rostral margin of the tympanic bulla. Short lines are drawn to highlight sutures which are unclear here and on which the landmarks have been defined.
Fig. 5 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 5. Box-and-whisker plots of (A) skull size and (B) relative bulla size of the ventral cranium. The boxes indicate the 25–75 % quartiles; the whiskers represent the minimal and maximal values.
Figure 3 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 3. Variation of the elytral pattern and abdominal melanism of Henosepilachna diekei. Dorsal view (top) and lateral view (middle) of habitus and ventral view of abdomen (bottom) in male specimens collected in Java (1–3), Kalimantan (4), Sulawesi (5, 6) and Lombok (7). Localities of collection were shown upper of each picture, and the host plants are denoted in the parentheses as M; Mikania, L; Leucas, A; Asystacea, C; "Coleus". Scale bar = 1 mm.
Figure 2 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 2. Distribution and host-plant use of Henosepilachna diekei populations in South East Asia. The distribution of H. diekei was investigated in shaded islands/regions. Localities where the occurrence of H. diekei was observed were shown by the names and symbols for the host plants. Six beetle populations from five localities used for the morphological analysis were black-edged.
Figure 1 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 1. Morphological characters of Henosepilachna diekei measured in the present study. (A) Dorsal and lateral views of habitus with measured body parts; BL, body length; PL, pronotum length; PW, pronotum width; EL, elytra length; EW, elytron width, EH, elytra height. (B) Lateral view of tegmen (PA, paramera; H, hair on penis guide; PG, penis guide). (C) Lateral view of penis (P, Penis; PA, ventral view of apical edge of penis).
Figure 6 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 6. Variation in the structure of apical edge of penis in males of the seven populations of Henosepilachna diekei. Type I, emarginate (filled symbol); Type II, truncate (dark grey symbol); Type III, convex (light grey symbol). Solid line denotes the Wallace line. The number in each pie chart shows the number of specimen. The host plants were shown in the parentheses as M, Mikania; L, Leucas; D, Dicliptera; P, Plectranthus. The different letter on the right shoulder of each box indicates significant difference (P <0.05) after adjustment of P-value for multiple comparisons.
Figure 4 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 4. Body length of seven populations of Henosepilachna diekei. (A) Females; (B) males. The host plants were denoted in the parentheses as M; Mikania, L; Leucas, D; Dicliptera, P; Plectranthus. The different letter on the right shoulder of each box indicates significant difference (P <0.05) after adjustment of P-value for multiple comparisons (NS, P ≥ 0.05).
Genetic, morphological, and niche variation in the widely hybridizing Rhus integrifolia-Rhus ovata species complex
<p>Hybridization and introgression are common processes among numerous plant species that present both challenges and opportunities for studies of species delimitation, phylogenetics, taxonomy, and adaptation. <i>Rhus integrifolia</i> and <i>R. ovata</i> are two ecologically important shrubs native to the southwestern USA and Mexico, and are known to hybridize frequently, but the morphological, genetic, and ecological implications of hybridization in these species are poorly studied on a broad geographic scale. Analyses were conducted using leaf morphology, genetic variation of plastid and nuclear loci, and species distribution models for both species and their putative hybrid introgressants across 19 localities in California and Arizona, USA. These analyses revealed evidence for morphological and genetic distinction among localities comprising putative parental species, but a high degree of morpho-genetic intermediacy among localities with putative hybrids. Comparison of morphological and genetic population structure among localities revealed evidence for putative local adaptation or widespread phenotypic plasticity. Multiple regression models identified a weak but statistically significant negative association between leaf area and precipitation. Finally, species distribution modeling inferred northward range shifts over time, with both species predicted to occupy more coastal regions in the future, possibly increasing the frequency of hybridization among them. These findings underscore the importance of integrative assessment of multiple data sources in the study of hybridizing species and highlight the <i>Rhus integrifolia-ovata</i> complex as a powerful model for investigating the adaptive implications of hybridization.</p>
FIGURE 4 in Emesis planeca n. comb. (Lepidoptera: Riodinidae): a new combination revealed by molecular evidence with a description of its morphological variation
FIGURE 4. Male labial palpus and latero - ventral view of the head of Emesis planeca n. comb.
Figure 4 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure 4 SEM photographs of L. inopinata describing carapace morphological features of different developmental stage. All the left valves are from indoor bioculture. The red parts of the instars A-6 to A-3 represent the marginal denticles.
Supplementary material 1 from: Wang C, Wang H, Kuang X, Guo G (2021) Life stages and morphological variations of Limnocythere inopinata (Crustacea, Ostracoda) from Lake Jiang-Co (northern Tibet): a bioculture experiment. ZooKeys 1011: 25-40. https://doi.org/10.3897/zookeys.1011.56065
Figure S1
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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
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