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727 results for “Molecular taxonomy”
FIGURE 15 in Integrative taxonomy of Malagasy treefrogs: combination of molecular genetics, bioacoustics and comparative morphology reveals twelve additional species of Boophis 2383
FIGURE 15. Spectrograms and waveforms of calls: (A) call type 1 of Boophis obscurus from near Vohiparara, Ranomafana National Park (recorded on 29 January 2004, air temperature app. 20.5°C); (B) advertisement call of Boophis periegetes from Andohahela National Park (recorded on 27 January 2005, air temperature app. 18°C)
Figure 1 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 1. Sampling of Steno bredanensis for this study. Black circles, new control region sequences; white circles, sequences available in GenBank. The inset shows sampling localities in the South Western Atlantic (SW Atl). CS Pac, central southern Pacific; ET Pac, eastern tropical Pacific; Car, Caribbean; NW Pac, northwestern Pacific; Ind, Indian Ocean; CE, Ceará State; ES, Espírito Santo State; RJ, Rio de Janeiro State; RS, Rio Grande do Sul State; SC, Santa Catarina State.
Figure 2 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 2. Median-joining network of Steno bredanensis mtDNA control region haplotypes (N = 112). Circle size is proportional to frequency. Branch length reflects molecular distance. CE, Ceará State; ES, Espírito Santo State; RJ, Rio de Janeiro State; RS, Rio Grande do Sul State; SC, Santa Catarina State.
Figure 5 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 5. Intra- and interspecific genetic distances (Kimura two-parameter, K2P) in the cytochrome b sequences of delphinids, and the divergence between Steno bredanensis in the Atlantic and Pacific/Indian Oceans.
Figure 7 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 7. Intra- and interspecific genetic distances (Kimura two-parameter, K2P) in the mitogenomes of delphinids, and the divergence between Steno bredanensis in the Atlantic and Pacific Oceans.
Figure 4 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 4. Phylogenetic neighbour-joining (NJ) tree of delphinid cytochrome b sequences. Numbers above branches indicate bootstrap/posterior probability values>75% (NJ, Kimura two-parameter/Bayesian, Hasegawa-Kishino-Yano + gamma + invariant sites).
Figure 3 in Molecular taxonomy and population structure of the rough-toothed dolphin Steno bredanensis (Cetartiodactyla: Delphinidae)
Figure 3. Phylogenetic tree (neighbour-joining, Kimura two-parameter) showing the genetic divergence between sequences of the control region of the Atlantic (ES, Espírito Santo State; RJ, Rio de Janeiro State; SC, Santa Catarina State; RS, Rio Grande do Sul State) and other regions analysed (Pacific and Indian Oceans). Numbers at nodes correspond to bootstrap values>75% (10 000 replicates). CS Pac, central southern Pacific; ET Pac, eastern tropical Pacific; NW Pac, northwestern Pacific; CE, Ceará State; Sb, Steno bredanensis. MQ and BG are field codes for samples from RJ. The scale bar shows the length of branch that corresponds to a Kimura two-parameter distance of 0.005.
FIGURE 1 in Taxonomy of the fern genus Didymochlaena (Didymochlaenaceae) from Asia and Pacific islands based on morphological and molecular evidence with the description of four new species and one new status
FIGURE 1. The Maximum Likelihood phylogeny of Didymochlaena from Asia and Pacific region based on six plastid markers (atpA, atpB, matK, rbcL, rps4-trnS, and trnL-F). The maximum likelihood bootstrap support (left), maximum parsimony jackknife support (middle), and Bayesian inference posterior probability (right) are along the branches. Stars indicate the maximum support values in all three analyses.
FIGURE 2 in Taxonomy of the fern genus Didymochlaena (Didymochlaenaceae) from Asia and Pacific islands based on morphological and molecular evidence with the description of four new species and one new status
FIGURE 2. Morphology of the three new species from the Malesian region. A1–A3. Didymochlaena philippensis.—A1. Portion of rachis with pinna.—A2. Portion of pinna showing pinnules.—A3. Portion of pinna petiole showing pinnule and scales. B1–B3. D. punctata.—B1. Portion of rachis with pinna.—B2. Portion of pinna showing pinnules.—B3. Portion of pinna petiole showing pinnule and scales. C1–C3. Didymochlaena solomonensis.—C1. Portion of rachis with pinna.—C2. Portion of pinna showing pinnules.—C3. Portion of pinna petiole showing pinnule and scales. Didymochlaena fijiensis.—D1. Portion of rachis with pinna.—D2. Portion of pinna showing pinnules.—D3. Portion of pinna petiole showing pinnule and scales. Scale bars = 3 cm for A1, B1, C1 and D1; = 1 cm for others.
Figure 3 in Barcoding, molecular taxonomy, and exploration of the diversity of shrews (Soricomorpha: Soricidae) on Mount Nimba (Guinea)
Figure 3. Histograms of divergence percentage values between all sequences. Black, intraspecific distances; light grey, interspecific distances amongst clade C; dark grey, interspecific distances excluding clade C. All sequences were corrected using the Kimura two-parameter substitution model. Sequences corresponding to nuclear copies of cytochrome b were excluded from the analysis. BRCA, breast cancer gene; COI, cytochrome oxidase I.
Figure 2 in Barcoding, molecular taxonomy, and exploration of the diversity of shrews (Soricomorpha: Soricidae) on Mount Nimba (Guinea)
Figure 2. Neighbour-joining trees built for each marker using PAUP* 4.01b10. Sequences were corrected with the Kimura two-parameter substitution model. Values represented above branches are bootstrap values (1000 replicates). BRCA, breast cancer gene; COI, cytochrome oxidase I.
Figure 1 in Barcoding, molecular taxonomy, and exploration of the diversity of shrews (Soricomorpha: Soricidae) on Mount Nimba (Guinea)
Figure 1. Phylogeny built using Bayesian inference analysis of the concatenated data set of two mitochondrial markers (cytochrome b and 16S) and one nuclear marker (the breast cancer gene, BRCA) (1852 bp). Values represented above and below branches are Bayesian posterior probabilities and bootstrap values (maximum likelihood, 1000 replicates), respectively. The tree was rooted with addition of three Soricinae shrews Neomys fodiens, Soriculus nigrescens, and Nectogale elegans.
Figure 6 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 6. Canonical analysis comparing operational taxonomic units from Central (left and right bank of Congo River, Democratic Republic of Congo) and East Africa links specimens from Faradje (near type locality of Cricetomys emini) to C. emini and those from Rwanda (near type locality Cricetomys kivuensis) to Cricetomys ansorgei. Below the graph are the various character loadings on roots 1 and 2.
Figure 5. A in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 5. A, canonical analysis comparing all six operational taxonomic units (OTUs). Plotted are skulls that were also sequenced in the molecular analysis (labelled 'g' for Cricetomys gambianus, 'a' for Cricetomys ansorgei, 'e' for Cricetomys emini, '2' for Cricetomys sp. 2, and '3' for Cricetomys sp. 3). Below the graph are the various character loadings on roots 1 and 2. B, tree diagram showing clustering patterns of all six OTUs from this study based on craniometric data.
Figure 4 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 4. Canonical analysis comparing Cricetomys gambianus, Cricetomys sp. 1, and Cricetomys ansorgei. Below the graph are the various character loadings on roots 1 and 2.
Figure 2 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 2. Bayesian tree (consensus of two runs, 5 000 000 generations each) based on 735-bp-long Cricetomys cytochrome b sequences. Besides a posteriori support values obtained by MrBayes, bootstrap support obtained for maximum likelihood (100 replications) and maximum parsimony (500 replications) are shown.
Figure 3. A in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 3. A, geographical distribution of sampling localities for the mitochondrial phylogeny resolved in this study in relation to currently recognized type localities of Cricetomys. Colours correspond to those in Figure 2: red for Cricetomys gambianus, dark blue for Cricetomys sp. 1, light blue for Cricetomys sp. 3, green for Cricetomys emini, yellow for Cricetomys sp. 2, and pink for Cricetomys ansorgei. Stars represent various type localities. Numbers represent localities from which sequences were obtained (listed in Table S1). The dotted circles represent sequences from GenBank, for which information on the geographical origin of these sequences is uncertain, except for the country they came from. B, geographical distribution of sampling localities for the craniometric analysis in this study in relation to currently recognized type localities of Cricetomys. Colour codes are as above. Numbers represent localities from which skulls were obtained (listed in Table S2).
Figure 1 in Taxonomy of the African giant pouched rats (Nesomyidae: Cricetomys): molecular and craniometric evidence support an unexpected high species diversity
Figure 1. Approximate distribution patterns of various Cricetomys species named in A, Genest-Villard (1967) and B, Musser & Carleton (2005). The darker shade of grey in the map represents the Guineo-Congolian forest block whereas the lighter grey portion represents the distribution of the savannahs.
Figure 3 in Molecular systematics of peppermint and cleaner shrimps: phylogeny and taxonomy of the genera Lysmata and Exhippolysmata (Crustacea: Caridea: Hippolytidae)
Figure 3. The habitus and colour pattern (dorsal view) of the shrimps Lysmata amboinensis (left) and Lysmata grabhami (right).
Figure 2 in Molecular systematics of peppermint and cleaner shrimps: phylogeny and taxonomy of the genera Lysmata and Exhippolysmata (Crustacea: Caridea: Hippolytidae)
Figure 2. Phylogenetic tree obtained from minimum evolution (ME) analysis of the partial 16S rRNA gene for shrimps from the genus Lysmata, and other selected taxa from the Caridea. Numbers above or below the branches represent the bootstrap values obtained from maximum parsimony (MP) and ME analyses in PAUP* and MEGA 4.4 (MP/ME). The white and black squares represent the presence or absence, respectively, of a developed accessory branch in each species. The images of the shrimps (from top to bottom) represent Lysmata wurdemanni, Lysmata debelius, Lysmata hochi, and Lysmata galapagensis.
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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.