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53 results for “Tursiops truncatus”
Video, image, and supplemental files linked in Burge et al. (2023) "Depredation by Bottlenose Dolphins Tursiops truncatus from Antillean Z-traps at Discovery Bay, Jamaica"
<p>Video, image, and supplementary text files linked in Burge et al. (2023), Caribbean Naturalist, 95: 1–25.</p><p><strong>Depredation by Bottlenose Dolphins </strong><i><strong>Tursiops truncatus</strong></i><strong> from Antillean Z-traps at Discovery Bay, Jamaica</strong></p><p>All video and image files referred to in the main text, figures, and tables are available from this repository. See Table 1 and Table S1 for additional details.</p><p> </p>
Trophic Interactions, Habitat Use, and Pollution Loads of Bottlenose Dolphins (Tursiops Truncatus) in the Florida Coastal Everglades, Florida, USA, 2013-2019
Cetaceans can feed at upper trophic levels and occur from freshwater to open-ocean ecosystems. Due to their abundance, mobility, and high metabolic rates, they have the potential to affect the structure and function of ecosystems through both top-down and bottom-up pathways. To better understand what ecological roles they may play in a system, it is important to understand patterns and drivers of their abundance, habitat use, and trophic interactions. I investigated the trophic interactions and pollutant exposure of common bottlenose dolphins (Tursiops truncatus) of the Florida Coastal Everglades. Based on bulk stable isotope analysis of tissue samples collected using biopsy sampling, it appears that despite their high mobility, bottlenose dolphins restrict their foraging within the habitats where they were sampled. Trophic position and foraging locations affected exposure to pollutants, with high levels of mercury found in dolphins estimated to forage at higher trophic levels and feeding within an inland bay. Mercury levels also varied with age and sex. Dolphins and their prey both contained substantial mercury levels and dolphins’ health could be impacted by this exposure, but the selenium levels we measured might counteract these negative effects.
Fig. 2 in Abundance And Summer Distribution Of A Local Stock Of Black Sea Bottlenose Dolphins, Tursiops Truncatus (Cetacea, Delphinidae), In Coastal Waters Near Sudak (Ukraine, Crimea)
Fig. 2. Sightings of bottlenose dolphins near Sudak in 2011–2012. Sightings are indicated by circles of different size, depending on the group size category; sightings during the line transect survey (LTS) on August 4, 2012, are marked as filled circles, and other sightings (non LTS) are marked as empty circles. The LTS transects are shown as a zigzag line, and the LTS area is bordered by a contour line.
Fig. 1 in New Prey Fishes In Diet Of Black Sea Bottlenose Dolphins, Tursiops Truncatus (Mammalia, Cetacea)
Fig. 1. Localities of sampling the stomach contents of Black Sea bottlenose dolphins: I — Kalamita Gulf, II — Feodosiya Gulf, III — Kerch Strait; K — Yalta (by Kleinenberg, 1938) and visual observations of bottlenose dolphins hunting on mullet: 1(?) — Tendra Spit (the certain locality is not identified), 2 — Uret Cape, 3 — Okunevka, 4 — Sevastopol, 5 — Meganom Cape, 6 — Karadag Nature Reserve, 7 — Chauda Cape, 8 — Opuk Cape, 9 — Ak-Burun Cape.
Fig. 3 in Bottlenose dolphins (Tursiops truncatus) do also cast neutrophil extracellular traps against the apicomplexan parasite Neospora caninum
Fig. 3. Dose, kinetic and functional inhibition assays of N. caninum tachyzoites-triggered NET formation in dolphins. PMN were incubated with tachyzoites, zymosan (1 mg/ ml, positive control) or plain medium (negative control) at different ratios (a; PMN: tachyzoites = 1:1, 1:2, 1:3) and time periods (b; 30, 60 and 90 min). To prove the DNA nature of NETs, the samples were treated with DNase I (a; 15 min). Moreover, cetacean PMN cells were pre-treated with NOX-inhibitor (b; DPI, 10 MM) for 30 min prior to N. caninum stimulation (1:3 ratio; 90 min). After incubation, all samples were analyzed for extracellular DNA by quantifying Pico Green ®-derived fluorescence intensities. Each condition was performed in duplicates. Geometric means of three PMN donors. Differences were regarded as significant at a level of p <0.05 (*) and p <0.01 (**).
Fig. 2 in Bottlenose dolphins (Tursiops truncatus) do also cast neutrophil extracellular traps against the apicomplexan parasite Neospora caninum
Fig. 2. Neospora caninum tachyzoite-triggered dolphin NET structures (SEM) and co-localization of extracellular DNA with histones (H1, H2A/H2B, H3 and H4), NE, MPO and PTX. (a‾d) Scanning electron microscopy (SEM) analyses revealed NETs being formed by dolphin PMN after co-culture with N. caninum tachyzoites. (a) Mesh of DNA-structures (white arrow) derived from dolphin PMN attached to N. caninum-tachyzoites (black arrows). (b) Intact cetacean-PMN (black stars) derived a fine filaroid structure (white arrow) being attached to tachyzoites (black arrows). (c) Conglomerates of several tachyzoites (black arrow) being entrapped in a rather chunky meshwork of cetacean-PMN-released thicker extracellular filaments (white arrow) (d) Dolphin PMN activated (black star) entrapping diverse N. caninum-tachyzoites (black arrows). (e‾l) Co-cultures of dolphin PMN and N. caninum tachyzoites were fixed, permeabilized, stained for analysis of co-localization (i-l; merge, white arrows) of extracellular DNA (e-h; red; Sytox Orange ®) and classical NETs components (all green, white arrows) such as histones (i), NE (j), MPO (k) and pentraxin (l). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 1 in Bottlenose dolphins (Tursiops truncatus) do also cast neutrophil extracellular traps against the apicomplexan parasite Neospora caninum
Fig. 1. Minimally-invasive blood extraction method for cetaceans. (a) Puncture of the ventral superficial fluke plexus with a fine needle attached to infusion system and one syringe to create a vacuum for blood extraction. (b) Professional trainers performed physical restraint of one dolphin using whistle to give a positive reinforcement during sampling.
Figure 1 in Records of atypical pigmented bottlenose dolphins (Tursiops truncatus) at the south-western coast of the Black Sea (Zonguldak, Türkiye)
Figure 1. Sampling area and the sightings of unusually colored individuals of the bottlenose dolphin.
Figure 3 in Records of atypical pigmented bottlenose dolphins (Tursiops truncatus) at the south-western coast of the Black Sea (Zonguldak, Türkiye)
Figure 3. (a) Individuals of bottlenose dolphin with unusual coloration pattern recorded in the study area; (b) magnified images of their fins.
Figure 2 in Records of atypical pigmented bottlenose dolphins (Tursiops truncatus) at the south-western coast of the Black Sea (Zonguldak, Türkiye)
Figure 2. Image of a piebald female of bottlenose dolphin with an immature individual (a) and centered photograph of the dorsal fin (b).
Magnetic Resonance Imaging Scan of a Bottlenose Dolphin Brain (Tursiops truncatus)
<p>Magnetic Resonance Imaging Scan of a Bottlenose Dolphin Brain (<em>Tursiops truncatus</em>) from http://braincatalogue.org/Bottlenose_dolphin</p>
Fig. 5 in Abundance And Summer Distribution Of A Local Stock Of Black Sea Bottlenose Dolphins, Tursiops Truncatus (Cetacea, Delphinidae), In Coastal Waters Near Sudak (Ukraine, Crimea)
Fig. 5. Discovery curve as cumulative number of identified dolphins vs. duration of study.
Fig. 3 in Abundance And Summer Distribution Of A Local Stock Of Black Sea Bottlenose Dolphins, Tursiops Truncatus (Cetacea, Delphinidae), In Coastal Waters Near Sudak (Ukraine, Crimea)
Fig. 3. Categories of dorsal fins for photo-identification(a– d, marked; e, f, unmarked).
Fig. 1 in Abundance And Summer Distribution Of A Local Stock Of Black Sea Bottlenose Dolphins, Tursiops Truncatus (Cetacea, Delphinidae), In Coastal Waters Near Sudak (Ukraine, Crimea)
Fig. 1. Area of study in the northern Black Sea.
Demographic information and phthalate metabolite concentrations (µg/L) detected in bottlenose dolphins (Tursiops truncatus) urine sampled from Barataria Bay, LA during 2011-2023 and Sarasota Bay, FL during 2010-2019, 2022-2024
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Investigation of bottlenose dolphin, <em>Tursiops truncatus</em>, population structure
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Data from: Habitat-driven population structure of bottlenose dolphins, Tursiops truncatus, in the North-East Atlantic
Despite no obvious barrier to gene flow, historical environmental processes and ecological specializations can lead to genetic differentiation in highly mobile animals. Ecotypes emerged in several large mammal species as a result of niche specializations and/or social organization. In the North-West Atlantic, two distinct bottlenose dolphin (Tursiops truncatus) ecotypes (i.e. 'coastal' and 'pelagic') have been identified. Here, we investigated the genetic population structure of North-East Atlantic (NEA) bottlenose dolphins on a large scale through the analysis of 381 biopsy-sampled or stranded animals using 25 microsatellites and a 682-bp portion of the mitochondrial control region. We shed light on the likely origin of stranded animals using a carcass drift prediction model. We showed, for the first time, that coastal and pelagic bottlenose dolphins were highly differentiated in the NEA. Finer-scale population structure was found within the two groups. We suggest that distinct founding events followed by parallel adaptation may have occurred independently from a large Atlantic pelagic population in the two sides of the basin. Divergence could be maintained by philopatry possibly as a result of foraging specializations and social organization. As coastal environments are under increasing anthropogenic pressures, small and isolated populations might be at risk and require appropriate conservation policies to preserve their habitats. While genetics can be a powerful first step to delineate ecotypes in protected and difficult to access taxa, ecotype distinction should be further documented through diet studies and the examination of cranial skull features associated with feeding.
Data from: A worldwide perspective on the population structure and genetic diversity of bottlenose dolphins (Tursiops truncatus) in New Zealand
Bottlenose dolphins (Tursiops truncatus) occupy a wide range of coastal and pelagic habitats throughout tropical and temperate waters worldwide. In some regions, "inshore" and "offshore" forms or ecotypes differ genetically and morphologically, despite no obvious boundaries to interchange. Around New Zealand, bottlenose dolphins inhabit 3 coastal regions: Northland, Marlborough Sounds, and Fiordland. Previous demographic studies showed no interchange of individuals among these populations. Here, we describe the genetic structure and diversity of these populations using skin samples collected with a remote biopsy dart. Analysis of the molecular variance from mitochondrial DNA (mtDNA) control region sequences (n = 193) showed considerable differentiation among populations (Fst = 0.17, Φst = 0.21, P < 0.001) suggesting little or no female gene flow or interchange. All 3 populations showed higher mtDNA diversity than expected given their small population sizes and isolation. To explain the source of this variation, 22 control region haplotypes from New Zealand were compared with 108 haplotypes worldwide representing 586 individuals from 19 populations and including both inshore and offshore ecotypes as described in the Western North Atlantic. All haplotypes found in the Pacific, regardless of population habitat use (i.e., coastal or pelagic), are more divergent from populations described as inshore ecotype in the Western North Atlantic than from populations described as offshore ecotype. Analysis of gene flow indicated long-distance dispersal among coastal and pelagic populations worldwide (except for those haplotypes described as inshore ecotype in the Western North Atlantic), suggesting that these populations are interconnected on an evolutionary timescale. This finding suggests that habitat specialization has occurred independently in different ocean basins, perhaps with Tursiops aduncus filling the ecological niche of the inshore ecotype in some coastal regions of the Indian and Western Pacific Oceans.
Data from: The importance of delineating networks by activity type in bottlenose dolphins (Tursiops truncatus) in Cedar Key, Florida
Network analysis has proved to be a valuable tool for studying the behavioural patterns of complex social animals. Often such studies either do not distinguish between different behavioural states of the organisms or simply focus attention on a single behavioural state to the exclusion of all others. In either of these approaches it is impossible to ascertain how the behavioural patterns of individuals depend on the type of activity they are engaged in. Here we report on a network-based analysis of the behavioural associations in a population of bottlenose dolphins (Tursiops truncatus) in Cedar Key, Florida. We consider three distinct behavioural states—socializing, travelling and foraging—and analyse the association networks corresponding to each activity. Moreover, in constructing the different activity networks we do not simply record a spatial association between two individuals as being either present or absent, but rather quantify the degree of any association, thus allowing us to construct weighted networks describing each activity. The results of these weighted activity networks indicate that networks can reveal detailed patterns of bottlenose dolphins at the population level; dolphins socialize in large groups with preferential associations; travel in small groups with preferential associates; and spread out to forage in very small, weakly connected groups. There is some overlap in the socialize and travel networks but little overlap between the forage and other networks. This indicates that the social bonds maintained in other activities are less important as they forage on dispersed, solitary prey. The overall network, not sorted by activity, does not accurately represent any of these patterns.
Particle trajectories generated by the eDNA fate and transport model for the Atlantic bottlenose dolphin (Tursiops truncatus) -- Part I
<ul> <li>"release" includes particle trajectories generated by the eDNA fate and transport model, which was driven by the hydrodynamics simulated with the realistic wind and tidal forcings.</li> <li>The python codes used to read the particle trajectories and get the particle counts in each model grid cell can be found in https://github.com/Jilian0717/eDNA_fate_transport_model/tree/main/particle_density</li> </ul>
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Allen Brain Atlas
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