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15 results for “Lemur primate”
MRI Brain Template and Atlas of the Mouse Lemur Primate Microcebus murinus
<p>MRI template and 120-region atlas for the mouse lemur primate Microcebus murinus.<br> <br> Generated from 34 animals aged 15-58 months old scanned at 7T using a T2-weighted sequence, resolution 115 × 115 × 230 µm. The code developed to create and manipulate the template has been refined into general procedures for registering small mammal brain MR images, available within a python module sammba-mri (SmAll-maMMals BrAin MRI; <a href="https://sammba-mri.github.io/">https://sammba-mri.github.io/</a>). The template was up-sampled to 91 µm isotropic for hand-segmentation of structures, and also used to create probability maps of grey matter, white matter and cerebro-spinal fluid.</p> <p>if used for publication please cite: </p> <p><strong>A 3D population-based brain atlas of the mouse lemur primate with examples of applications in aging studies and comparative anatomy</strong><br> Nachiket A Nadkarni, Salma Bougacha, Clément Garin, Marc Dhenain, Jean-Luc Picq<br> Jan 2019<br> <strong>NeuroImage</strong> 185, 85-95<br> DOI: 10.1016/J.NEUROIMAGE.2018.10.010<br> <a href="https://www.sciencedirect.com/science/article/pii/S1053811918319694">https://www.sciencedirect.com/science/article/pii/S1053811918319694</a></p>
Functional organization of the mouse lemur Primate Microcebus murinus : from multilevel validation to comparison with humans
<p>Brain network organization in the mouse lemur (Microcebus murinus) Primate.<br> (comparison with humans)<br> Archives contain:<br> <br> - Dictionary learning analysis in mouse lemurs and humans showing networks identified in these two species.<br> <br> - Cerebral templates from mouse lemurs and humans (MNI template). They can be used to localize networks.<br> <br> - A functional atlas of the mouse lemur brain issued from resting fMRI. Resting-state functional MR images were recorded from 14 mouse lemurs at 11.7 Tesla (2 time point per animal).<br> - An atlas from human brain (issued from <a href="http://www.gin.cnrs.fr/fr/outils/aal-aal2/">http://www.gin.cnrs.fr/fr/outils/aal-aal...</a>) that can be used to attribute human cerebral networks.<br> <br> - Templates, atlases and networks can be easily observed together using ITK-SNAP (<a href="http://www.itksnap.org/">http://www.itksnap.org/</a>).</p> <p>if used for publication please cite: </p> <p><strong>Resting state functional atlas and cerebral networks in mouse lemur primates at 11.7 Tesla</strong><br> <strong>Clément M Garin</strong>, Nachiket A Nadkarni, Brigitte Landeau, Gaël Chételat, Jean-Luc Picq, Salma Bougacha, Marc Dhenain<br> Feb 2021<br> <strong>NeuroImage</strong> 226, 117589<br> DOI: 10.1016/J.NEUROIMAGE.2020.117589<br> <a href="https://www.sciencedirect.com/science/article/pii/S1053811920310740">https://www.sciencedirect.com/science/article/pii/S1053811920310740</a></p>
Fig. 2 in Hemoparasites in a wild primate: Infection patterns suggest interaction of Plasmodium and Babesia in a lemur species
Fig. 2. Age-dependence of Babesia sp. infections (grey) and Plasmodium sp. infections (black). The lines represent the predicted values according to the two different GLMMs.
Fig. 1 in Hemoparasites in a wild primate: Infection patterns suggest interaction of Plasmodium and Babesia in a lemur species
Fig. 1. Maximum likelihood tree of malaria parasite cytochrome b sequences (P. = Plasmodium). The clade formed by lemur malaria parasites is blue. The two sequences detected in this study are highlighted with grey rectangles. Bootstrap values are reported above branches when>50. The scale is in substitution per site.
Data from: Cryptic patterns of speciation in cryptic primates: microendemic mouse lemurs and the multispecies coalescent
Species delimitation is ever more critical for assessing biodiversity in threatened regions of the world, especially when undescribed lineages may be at risk from habitat loss. Mouse lemurs (Microcebus) are an example of a rapid radiation of morphologically cryptic species that are distributed throughout Madagascar in its rapidly vanishing forested habitats. Here, we focus on two pairs of sister lineages that occur in a region in northeastern Madagascar that shows high levels of microendemism. We revisit previous hypotheses of species diversity by filling geographic sampling gaps and by generating new genomic data for three named species, as well as an undescribed lineage previously identified to be of interest due to its highly divergent mtDNA. We analyzed RADseq data with multiple species delimitation methods based on the multispecies coalescent (MSC) model while accounting for introgression. Non-sister lineages occur sympatrically in two instances, despite an estimated divergence time of less than 1 Ma, thus suggesting rapid evolution of reproductive isolation in the mouse lemur clade. We note, however, that the divergence time estimates reported here are based on the MSC and calibrated with pedigree-based primate mutation rates. These dates are considerably more recent than previous analyses that used traditional relaxed clock methods and distant fossil calibrations. One pair of sister lineages passed all species delimitation tests while the other pair failed most, largely due to differences in Ne between the two pairs of lineages. Nevertheless, delimitation results were also supported by differences in levels of gene flow and patterns of isolation-by-distance between the two pairs. We conclude that MSC-based species delimitation methods are valuable tools for evaluating cryptic species, even though these methods can be strongly affected by variable Ne. We suggest that this result has general implications for species delimitation studies of other recently diverged lineages.
Data from: Cryptic patterns of speciation in cryptic primates: microendemic mouse lemurs and the multispecies coalescent
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Data from: Visual ecology of true lemurs suggests a cathemeral origin for the primate cone opsin polymorphism
In contrast to the majority of primates, which exhibit dedicated diurnality or nocturnality, all species of Eulemur are cathemeral. Color vision, in particular, is strongly affected by the spectral composition and intensity of ambient light, and the impact of activity period on the evolution of primate color vision is actively debated. We studied three groups of wild brown lemurs (Eulemur fulvus) in Ankarafantsika National Park, Madagascar over a one-year span. We also used non-invasive fecal DNA collection and analysis to study the opsin genes underlying the color vision of 24 individuals. We quantify the color and brightness of dietary fruits and modeled the chromaticity and discriminability of food objects to different visual phenotypes under daylight, twilight, and moonlight conditions. We found that E. fulvus possesses routine dichromacy, unlike its congener E. flavifrons, for which polymorphic trichromacy has been reported. Our models suggest that dichromacy is well-suited to the foraging ecology of E. fulvus. The performance of modeled dichromats and trichromats is comparable under nocturnal illuminants and the luminance values of most diet items are detectable across light conditions. The trichromatic phenotype demonstrates a modest advantage under daylight conditions only. Our results, taken together with reports of polymorphic trichromacy in E. flavifrons, suggest functional ecological variation in the visual system of the genus Eulemur. Interspecific phenotypic variation in the color vision of a genus is both unexpected and instructive. Ecological differences between species of Eulemur could reveal thresholds for the origins of polymorphic trichromacy, which preceded the evolution of routine trichromatic vision in humans and other primates.
Data from: Species discovery and validation in a cryptic radiation of endangered primates: coalescent-based species delimitation in Madagascar's mouse lemurs
Implementation of the coalescent model in a Bayesian framework is an emerging strength in genetically based species delimitation studies. By providing an objective measure of species diagnosis, these methods represent a quantitative enhancement to the analysis of multilocus data, and complement more traditional methods based on phenotypic and ecological characteristics. Recognized as two species 20 years ago, mouse lemurs (genus Microcebus) now comprise more than 20 species, largely diagnosed from mtDNA sequence data. With each new species description, enthusiasm has been tempered with scientific scepticism. Here, we present a statistically justified and unbiased Bayesian approach towards mouse lemur species delimitation. We perform validation tests using multilocus sequence data and two methodologies: (i) reverse-jump Markov chain Monte Carlo sampling to assess the likelihood of different models defined a priori by a guide tree, and (ii) a Bayes factor delimitation test that compares different species-tree models without a guide tree. We assess the sensitivity of these methods using randomized individual assignments, which has been used in bpp studies, but not with Bayes factor delimitation tests. Our results validate previously diagnosed taxa, as well as new species hypotheses, resulting in support for three new mouse lemur species. As the challenge of multiple researchers using differing criteria to describe diversity is not unique to Microcebus, the methods used here have significant potential for clarifying diversity in other taxonomic groups. We echo previous studies in advocating that multiple lines of evidence, including use of the coalescent model, should be trusted to delimit new species.
Figure 1 in Morphometrics confirm taxonomic deflation in dwarf lemurs (Primates: Cheirogaleidae), as suggested by genetics
Figure 1. Sampling localities. Sampling sites of both the field samples and the museum specimens included in the analyses of this study are marked with circles. The colours indicate that individuals found at the respective site were classified as Cheirogaleus medius (yellow), Cheirogaleus major (red), and Cheirogaleus crossleyi (blue), or could not be clearly classified (white) by the analyses presented in this study. The Sambava locality is marked by two circles, as two different species were collected at this site. The asterisks denote sites that were newly sampled for this study.
Data from: Life history profiles for 27 strepsirrhine primate taxa generated using captive data from the Duke Lemur Center
Since its establishment in 1966, the Duke Lemur Center (DLC) has accumulated detailed records for nearly 4200 individuals from over 40 strepsirrhine primate taxa – the lemurs, lorises, and galagos. Here we present verified data for 3627 individuals of 27 taxa in the form of a life history table containing summarized species values for variables relating to ancestry, reproduction, longevity, and body mass, as well as the two raw data files containing direct and calculated variables from which this summary table is built. Large sample sizes, longitudinal data that in many cases span an animal's entire life, exact dates of events, and large numbers of individuals from closely related yet biologically diverse primate taxa make these datasets unique. This single source for verified raw data and systematically compiled species values, particularly in combination with the availability of associated biological samples and the current live colony for research, will support future studies from an enormous spectrum of disciplines.
Data from: Visual ecology of true lemurs suggests a cathemeral origin for the primate cone opsin polymorphism
Open the record for dataset details and reuse information.
Data from: Life history profiles for 27 strepsirrhine primate taxa generated using captive data from the Duke Lemur Center
Open the record for dataset details and reuse information.
Data from: Species discovery and validation in a cryptic radiation of endangered primates: coalescent-based species delimitation in Madagascar's mouse lemurs
Open the record for dataset details and reuse information.
Figure 4 in Morphometrics confirm taxonomic deflation in dwarf lemurs (Primates: Cheirogaleidae), as suggested by genetics
Figure 4. Size and shape variation. Box and whisker plots of principal component 1 (A) and principal component 2 (B) scores for each of seven species: Cheirogaleus medius, Cheirogaleus major, Cheirogaleus ravus, Cheirogaleus crossleyi, Cheirogaleus sibreei, and Cheirogaleus minusculus. Pairwise differences are denoted by asterisks. The range is indicated by the whiskers, the interquartile range is denoted by the boxes, and the median value bisects the box.
Figure 2 in Morphometrics confirm taxonomic deflation in dwarf lemurs (Primates: Cheirogaleidae), as suggested by genetics
Figure 2. Allometric and non-allometric craniodental characters in Cheirogaleus. (A) Palatal length (PALL), (B) temporal line (TpLi), and (C) second premolar height (P2), given in mm, are scaled against the greatest skull length (GSKL) for Cheirogaleus medius, Cheirogaleus adipicaudatus, Cheirogaleus major, Cheirogaleus ravus, Cheirogaleus sibreei, and unknown specimens, as assessed by Groves (2000).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.