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106 results for “green turtle”
Data from: Defining conservation units with enhanced molecular tools to reveal fine scale structuring among Mediterranean green turtle rookeries
Understanding the connectivity among populations is a key research priority for species of conservation concern. Genetic tools are widely used for this purpose, but the results can be limited by the resolution of the genetic markers in relation to the species and geographic scale. Here, we investigate natal philopatry in green turtles (Chelonia mydas) from four rookeries within close geographic proximity (~ 200km) on the Mediterranean island of Cyprus. We genotyped hypervariable mtSTRs, a mtDNA control region sequence (CR) and 13 microsatellite loci to genetically characterise 479 green turtles using markers with different modes of inheritance. We demonstrated matrilineal stock structure for the first time among Mediterranean green turtle rookeries. This result contradicts previous regional assessments and supports a growing body of evidence that green turtles exhibit a more precise level of natal site fidelity than has commonly been recognised. The microsatellites detected weak male philopatry with significant stock structure among three of the six pairwise comparisons. The absence of Atlantic CR haplotypes and mtSTRs among these robust sample sizes reaffirm the reproductive isolation of Mediterranean green turtles and supports their status as a subpopulation. A power analysis effectively demonstrated that the mtDNA genetic markers previously employed to evaluate regional stock identity were confounded by an insufficient resolution considering the recent colonisation of this region. These findings improve the regional understanding of stock connectivity and illustrate the importance of using suitable genetic markers to define appropriate units for management and conservation.
Figure 2 in Species assemblage and distribution of turtle barnacles (Cirripedia: Coronuloidea) on foraging green sea turtles (Chelonia mydas) in the Persian Gulf
Figure 2. Distribution of Chelonibia testudinaria and Platylepas hexastylos on the carapace (a) and plastron (b) of foraging green sea turtles (Chelonia mydas) in southern Qeshm Island (eastern Persian Gulf). letters on the scutes of the top-left picture show: c) central scutes; l) lateral scutes; n) nuchal scute; s) supracaudal scutes; m) marginal scutes (all unmarked scutes between nuchal and supracaudals are marginal scutes). Letters on the scutes of the below-right picture show: i) intergular scute; g) gular scute; h) humeral scute; p) pectoral scute; ab) abdominal scute; f) femoral scute; a) anal scute; in) inframarginal scutes.
Figure 1 in Species assemblage and distribution of turtle barnacles (Cirripedia: Coronuloidea) on foraging green sea turtles (Chelonia mydas) in the Persian Gulf
Figure 1. Sampling site of green sea turtles (Chelonia mydas) on the southern coast of Qeshm Island, the Persian Gulf.
Figure 2 in Growth rates of wild green turtles, Chelonia mydas, at a temperate foraging habitat in the northern Gulf of Mexico: assessing short-term effects of cold-stunning on growth
Figure 2. Graphical summary of generalized additive model fit for somatic growth, in cm straight carapace length (SCL)/year, for St Joseph Bay, Florida conditioned on two growthrate predictors: (A,B) number of previous cold-stunning events and mean carapace length or (C,D) number of previous cold-stunning events and mean condition index. The response variable (growth rate as cm SCL/year) is shown on the y-axis in each panel as a centred scale to ensure valid point-wise 95% credible intervals and comparison between the covariates across the four panels. The width of the mean factor response (number of previous cold-stunning events: A,C) is proportional to sample size with the 95% confidence interval shown by cross bars. Solid curves in B and D are cubic smoothing spline fits for these continuous covariates conditioned on the cofactor (previous cold-stunnings) while the dotted curves in the same panels are point-wise 95% confidence curves around the fits. The data distribution within (B) and (D) is shown by the vertical bars on the topside of the lower x-axis. For instance, (D) shows that most of the data for the mean condition index occur from 1.1 to 1.5 with some extreme outliers. While not statistically significant, it was apparent that expected growth rates were lower for turtles that were exposed to one or two cold-stunning events (A,C). Neither mean size (B) nor mean condition (D) were significant growth-rate predictors for this sample. The sample size (n551) is too small for this study to draw any robust conclusions about the effect of cold-stunning events on juvenile green turtle somatic growth.
Figure 1 in Growth rates of wild green turtles, Chelonia mydas, at a temperate foraging habitat in the northern Gulf of Mexico: assessing short-term effects of cold-stunning on growth
Figure 1. Location of St Joseph Bay in the northern Gulf of Mexico. Major set-netting sites (filled circles) used throughout the project and location of cold stun strandings (solid arrows) during 2001 and 2003. Site of release (indicated by star) into the Gulf of Mexico after rehabilitation, and the possible path (thin arrows) taken while returning to the southern end of St Joseph Bay.
Figure 4 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 4. Depth versus duration of resting bouts for (a) each individual turtle (n = 12), and (b) average dive depth vs. dive duration for all resting dives by each individual turtle ± 1 standard deviation (R2 = 0.36).
Figure 3 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 3. Dive depth vs. dive duration for (a) all non-resting dives by all turtles (R2 = 0.26, slope = 0.72) and (b) all resting dives by all turtles (R2 = 0.31, slope = 0.43).
Figure 2 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 2. Map of Bahίa de los Angeles study area along the eastern coast of the Baja California Peninsula, Mexico (inset); 10-m baythmetric contours represented by dashed lines; Capture sites: 1. El Barco, 2. La Silica, 3. El Bajo, 4. El Cardon, 5. Pedregal de la Blanca and 6. Playa Blanca.
Evolutionary comparisons of Chelonid alphaherpesvirus 5 (ChHV5) Genomes from Fibropapillomatosis-afflicted green (Chelonia mydas), Olive ridley (Lepidochelys olivacea) and Kemp's ridley (Lepidochelys kempii) sea turtles
<p>The spreading global sea turtle fibropapillomatosis (FP) epizootic is threatening some of Earth's ancient reptiles, adding to the plethora of threats faced by these keystone species. Understanding this neoplastic disease and its likely aetiological pathogen, chelonid alphaherpesvirus 5 (ChHV5), is crucial to understand how the disease impacts sea turtle populations and species and the future trajectory of disease incidence. We generated 20 ChHV5 genomes, from three sea turtle species, to better understand the viral variant diversity and gene evolution of this oncogenic virus. We revealed previously underappreciated genetic diversity within this virus (with an average of 2035 single nucleotide polymorphisms (SNPs), 1.54% of the ChHV5 genome) and identified genes under the strongest evolutionary pressure. Furthermore, we investigated the phylogeny of ChHV5 at both genome and gene level, confirming the propensity of the virus to be interspecific, with related variants able to infect multiple sea turtle species. Finally, we revealed unexpected intra-host diversity, with up to 0.15% of the viral genome varying between ChHV5 genomes isolated from different tumours concurrently arising within the same individual. These findings offer important insights into ChHV5 biology and provide genomic resources for this oncogenic virus.</p>
FIG. 2 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 2.—Schematic representation of the relationships between different nesting stages of Green Sea Turtles (Chelonia mŋdas). Solid lines indicate progression leading to a successful nesting attempt. Dashed lines represent variations that might result in abandoned nesting attempts prior to oviposition. Action patterns within each nesting stage are designated as follows: SQC ¼ simultaneous quadrupedal crawl; RFFSW ¼ rear flipper flick sweep; RFSW ¼ rear flipper sweep; FFSW ¼ front flipper sweep; RFFSC ¼ rear flipper flick scoop; RFK ¼ rear flipper knead.
FIG. 1 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 1.—Illustrations of movements performed by nesting Green Sea Turtles (Chelonia mŋdas): (A) simultaneous rear and front flippers, (B) paired front flippers, (C) alternating rear flippers, (D) single left front flipper, (E) single right front flipper, (F) single left rear flipper, and (G) single right rear flipper. Diagrams modified from Eckert et al. (1999).
Video data from pop-off camera deployments on green sea turtles in San Diego, California
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Data from: Assessing reliance on vector navigation in the long-distance oceanic migrations of green sea turtles
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Sick of attention: The effect of a stress-related disease on juvenile green sea turtle behaviour in the face of intense and prolonged tourism
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Data from: Energy expenditure of adult green turtles (Chelonia mydas) at their foraging grounds and during simulated oceanic migration
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Data from: Defining conservation units with enhanced molecular tools to reveal fine scale structuring among Mediterranean green turtle rookeries
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Data from: Reconstruction of paternal genotypes over multiple breeding seasons reveals male green turtles do not breed annually
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Data from: Predicting climate warming effects on green turtle hatchling viability and dispersal performance
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Raw acceleration, gyroscope and depth profiles associated with the observed behaviours of free-ranging immature green turtles in Martinique
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Data from: From refugia to rookeries: phylogeography of Atlantic green turtles
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.