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347 results for “molecular ecology”
Fig. 2 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 2. (a) The phylogenetic tree showing the stranded baleen whale (Baleen whale KP/Sabah/02082012) clustered together with the fin whale Balaenoptera physalus (U13103, Z18633 and X61145). (b) The phylogenetic analysis of the cytochrome b gene sequence indicating that the stranded fin whale (Baleen whale KP/Sabah/02082012) is closely related to the specimen of fin whales from the southern hemisphere with accession number KC572845, which represents Balaenoptera physalus quoi.
Fig. 1 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 1. Stranding site (red-filled triangle) of the fin whale at the Sitompok River (Lat. 05°34'672"N; Long.115°39'710"E) near Kuala Penyu (KP), a coastal town overlooking the South China Sea on the western shores of Sabah (Borneo, Malaysia) (inset map). The approximate location of the sighting of possible fin whales reported by De Boer (2000) is marked with a blue-filled circle. The distribution ranges of rorquals species, including fin whales, in the Philippine waters reported by Slijper et al. (1964) and Acebes (2014) are marked with green-filled circles. The locations of fin whales' migration ranges in Australian waters according to Aulich et al. (2019) are shown using red-filled circles. The stranding site of the unconfirmed fin whale species at Pulau Sugi (Junge 1950) is indicated by a yellow-filled circle.
Fig. 4 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 4. (a) Concentrations of trace elements (Mean ± SD) in the skin and blubber of the southern fin whale recorded in the present study compared to (b) the concentrations of trace elements in the skin of southern right whales (Eubalaena australis) extracted from the results of Martino et al. (2013).
Fig. 3 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 3. Comparison of the percentages of fatty acid profiles for (a) SFA, (b) MUFA and (c) PUFA in the tissues of adult male (M) and female (F) southern humpback whales during the early and late migrations extracted from the results of Waugh et al. (2012), epipelagic and mesopelagic (i.e., average) fish in the South China Sea (SCS) extracted from the supplementary data of Wang et al. (2019) and the southern fin whale in the present study.
Figure 3 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 3 Abundance of Phlebotominae Sand flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
Figure 2 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 2 Shannon's Index of Phlebotominae Sand Flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection- sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
Fig. 5 in A longitudinal molecular study of the ecology of malaria infections in freeranging mandrills
Fig. 5. Influence of P. gonderi prevalence on N/L ratio in female (F) and male (M) mandrills aged 4–16yrs (a) and of P. mandrilli parasitaemia in young animals (b). (a) Means and standard errors of the mean calculated from raw values are represented. Sample sizes are provided for each category. (b) For clarity sake, we distinguished two categories of individuals: animals that were younger than the average (< 9.1 yrs) observed in the data set analyzed and those that were older (≥9.1 yrs). Preliminary observations indicated no relationship between N/L ratio and P. mandrilli parasitaemia in old individuals (not represented), we therefore chose to present visible effects in young animals only.
Fig. 4 in A longitudinal molecular study of the ecology of malaria infections in freeranging mandrills
Fig. 4. Influence of P. gonderi parasitaemia on female's (a) and male's (b) skin temperatures. Raw values are represented.
Fig. 2 in A longitudinal molecular study of the ecology of malaria infections in freeranging mandrills
Fig. 2. Kernel density estimates for the distribution of ages across all studied individuals (dashed green line) and those infected by P. mandrilli (solid blue line) and P. gonderi (dashed red line). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in A longitudinal molecular study of the ecology of malaria infections in freeranging mandrills
Fig. 1. Annual patterns of prevalences (a) and parasitaemia (number of copies/ μl of blood; b) for the two studied Plasmodium species. Means and standard errors of the mean calculated from raw values are represented. For parasitaemia, outliers were excluded from mean calculations to allow visible interannual comparisons. We excluded four values for P. mandrilli (30,929, 134,387, 273,424, 1,267,280 copies) and four values for P. gonderi (78,322, 100,182, 767,718, 2,551,395 copies), all these elevated parasitaemia were measured in 2015, except one value measured in 2014 for P. mandrilli.
Linked collectors and determiners for: Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru.
Natural history specimen data linked to collectors and determiners held within, "Applying n-dimensional hypervolumes for species delimitation: unexpected molecular, morphological, and ecological diversity in the Leaf-Toed Gecko Phyllodactylus reissii Peters, 1862 (Squamata: Phyllodactylidae) from northern Peru". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://bionomia.net/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee">https://gbif.org/dataset/4de18441-9329-474b-a4a0-dea3aaf1e1ee</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A taxonomic revision of the ecologically important Ochna holstii (Ochnaceae) complex using molecular and morphological data.
Natural history specimen data linked to collectors and determiners held within, "A taxonomic revision of the ecologically important Ochna holstii (Ochnaceae) complex using molecular and morphological data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/954f96c0-684a-41ff-a23a-8287ce9f7e81">https://bionomia.net/dataset/954f96c0-684a-41ff-a23a-8287ce9f7e81</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/954f96c0-684a-41ff-a23a-8287ce9f7e81">https://gbif.org/dataset/954f96c0-684a-41ff-a23a-8287ce9f7e81</a>. Formatted as a Frictionless Data package.
Data from: Andriollo T., Michaux J.R., Ruedi M. (2021). Food for everyone: differential feeding habits of cryptic bat species inferred from DNA metabarcoding. Molecular Ecology
<p><strong>Supporting data for:</strong> Andriollo T., Michaux J.R., Ruedi M. (2021). Food for everyone: differential feeding habits of cryptic bat species inferred from DNA metabarcoding. Molecular Ecology. https://doi.org/ 10.1111/mec.16073</p> <p>Raw DNA sequences of prey of <em>Plecotus auritus</em>, <em>P. austriacus</em> and <em>P. macrobullaris</em> with complete sampling information and taxonomic assignations. Data separated by semicolums as follows:</p> <p>Sample name; Dataset; Colony; Bat species; Date; Season; Read numbers (Size); DNA sequence; Lowest taxonomic identification (ID_MOTU); Family; Order; Class; Is the sequence attributable to the diet or not (Diet)</p>
Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation
<p>Microbial ecosystems harbor an astonishing diversity that can persist for long times. To understand how such diversity is structured and maintained, ecological and evolutionary processes need to be integrated at similar timescales. Here, we study a model of resource competition that allows for evolution via de novo mutation, and focus on rapidly adapting asexual populations with large mutational inputs, as typical of many bacteria species. We characterize the adaptation and diversification of an initially maladapted population and show how the eco-evolutionary dynamics are shaped by the interaction between simultaneously emerging lineages – clonal interference. We find that in large populations, more intense clonal interference can foster diversification under sympatry, increasing the probability that phenotypically and genetically distinct clusters coexist. In smaller populations, the accumulation of deleterious and compensatory mutations can push further the diversification process and kick-start speciation. Our findings have implications beyond microbial populations, providing novel insights about the interplay between ecology and evolution in clonal populations.</p>
Figure 5 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 5. Box plots of Kimura two-parameter (K2P) distance of 672 bp cytochrome c oxidase subunit I sequences within and between Camponotus renggeri and Camponotus rufipes. Boxes indicate interquartile range (upper line, quartile 3; lower line, quartile 1). Horizontal lines with boxes indicate median and whiskers the minimum and the maximum values. Outliers are shown as individual circles.
Figure 4 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 4. Genetic structure analyses of Camponotus renggeri (yellow) and Camponotus rufipes (red) workers from Mogi- Guaçu (Brazil), using microsatellites. A, model-based assignment of individuals to the most likely number of clusters (K = 2) using STRUCTURE software. B, model-based assignment of individuals to different classes of hybrids or 'pure' species. Each individual is represented by a vertical line and the colours indicate the probability of the individual being assigned to a group in (A), or a hybrid or 'pure species' class in (B). C, scatterplot of the model-free principal coordinates analysis considering the two first principal coordinates (PCo1 and 2).
Figure 2 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 2. Main vegetation physiognomies of the cerrado reserve at Mogi-Guaçu, Brazil. Cerrado sensu stricto consists of a dense scrub of shrubs and trees and a fair amount of herbaceous vegetation, whereas the cerradão is a closed woodland with a reduced ground layer. Nests of Camponotus renggeri (N = 46) were found in cerrado sensu stricto (22%) and cerradão (78%), whereas Camponotus rufipes (N = 40) occurred only in cerrado sensu stricto. Drawing by L. Mota.
Figure 1 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 1. Workers of (A) Camponotus renggeri and (B) Camponotus rufipes. The two species are usually differentiated in the field by nuances in the integument colour (C. renggeri is shiny; C. rufipes is matte), and colour of the legs (yellowish in C. renggeri; reddish in C. rufipes). Photographs courtesy of L. Mota.
Figure 6 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 6. Analyses of the cytochrome c oxidase subunit I haplotypes of Camponotus renggeri (yellow) and Camponotus rufipes (red). A, neighbour-joining tree constructed with Kimura two-parameter distances between C. renggeri and C. rufipes with bootstrap support values based on 10 000 replications indicated on each branch. B, median-joining network amongst the obtained haplotypes. Values on the branches represent the numbers of mutational steps distinguishing the haplotypes, represented as circles whose areas are proportional to the number of individuals with that haplotype.
Figure 3 in Three ways to distinguish species: using behavioural, ecological, and molecular data to tell apart two closely related ants, Camponotus renggeri and Camponotus rufipes (Hymenoptera: Formicidae)
Figure 3. Frequency distribution of nest categories in Camponotus renggeri and Camponotus rufipes in the cerrado reserve at Mogi-Guaçu, Brazil. The species differed in the structure and building materials used for nesting.
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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.