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98 results for “roe deer”
Adaptive response of Siberian roe deer (Capreolus pygargus) to climate and altitude in the temperate forests of South Korea
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Data from: RAD‐sequencing for estimating genomic relatedness matrix‐based heritability in the wild: a case study in roe deer
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Dispersal propensity and distance in relation to sex and body mass of roe deer
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Data from: Evolutionary neutrality of mtDNA introgression: evidence from complete mitogenome analysis in roe deer
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DNA methylation as a tool to explore ageing in wild roe deer populations
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Pedigree-free quantitative genetic approach provides evidence for heritability of movement tactics in wild roe deer
<p>Assessing the evolutionary potential of animal populations in the wild is crucial to understanding how they may respond to selection mediated by rapid environmental change (e.g. habitat loss and fragmentation). A growing number of studies have investigated the adaptive role of behaviour, but assessments of its genetic basis in a natural setting remain scarce. We combined intensive biologging technology with genome-wide data and a pedigree-free quantitative genetic approach to quantify repeatability, heritability and evolvability for a suite of behaviours related to the risk avoidance-resource acquisition trade-off in a wild roe deer (Capreolus capreolus) population inhabiting a heterogeneous, human-dominated landscape. These traits, linked to the stress response, movement and space-use behaviour, were all moderately to highly repeatable. Furthermore, the repeatable among-individual component of variation in these traits was partly due to additive genetic variance, with heritability estimates ranging from 0.19±0.07 to 0.71±0.11 and evolvability ranging from 1.1 to 4.3%. Changes in the trait mean can therefore occur under hypothetical directional selection over just a few generations. To the best of our knowledge, this is the first empirical demonstration of additive genetic variation in space-use behaviour in a free-ranging population based on genomic relatedness data. We conclude that wild animal populations may have the potential to adjust their spatial behaviour to human-driven environmental modifications through micro-evolutionary change.</p>
Data from: Evolution of population genetic structure of the British roe deer by natural and anthropogenic processes (Capreolus capreolus)
Human influence typically impacts on natural populations of conservation interest. These interactions are varied and sometimes complex, and may be negative and unintended or associated with conservation and management strategy. Understanding the details of how these interactions influence and are influenced by natural evolutionary processes is essential to the development of effective conservation strategies. In this study we investigate a species in Britain that has experienced both negative impact through over-hunting in historical times and management efforts through culls and translocations. At the same time, there are regional populations that have been less affected by human influence. We use mtDNA and nuclear microsatellite DNA markers to investigate patterns of connectivity and diversity and find multiple insular populations in Britain that likely evolved within the Holocene (when the habitat was free of ice). We identify three concurrent processes. First, surviving indigenous populations show highly provincial patterns of philopatry, maintaining and generating population structure on a small geographic scale. Second, founder populations into habitat extirpated of native populations have expanded but remained largely insular. Third, introductions into established populations generate some admixture. We discuss the implications for the evolution of diversity of the integration of natural processes with anthropogenic influences on population size and distribution.
Figure 2 in Deer on the railway line: spatiotemporal trends in mortality patterns of roe deer
Figure 2. Bar plots showing spatial and temporal patterns of roe deer–train collisions between selected railway sections in the Czech Republic during 2009. The numbers above the bars represent the counts of collisions for each railway section during the particular month. Zero indicates that no collisions were recorded in that period.
Data from: There is only one winner: the negative impact of red deer density on roe deer numbers and distribution in the Słowiński National Park and its vicinity
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Pedigree-free quantitative genetic approach provides evidence for heritability of movement tactics in wild roe deer
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Data from: Evolution of population genetic structure of the British roe deer by natural and anthropogenic processes (Capreolus capreolus)
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Amino acids activate mTORC1 to release roe deer embryos from decelerated proliferation during diapause [Luminal epithelium]
GEO Series GSE158784. Capreolus capreolus. 56 samples. Type: Expression profiling by high throughput sequencing.
Amino acids activate mTORC1 to release roe deer embryos from decelerated proliferation during diapause [Embryo]
GEO Series GSE158805. Capreolus capreolus. 87 samples. Type: Expression profiling by high throughput sequencing.
Methylation studies in roe deer
GEO Series GSE184216. Capreolus capreolus; Rattus norvegicus; Homo sapiens; Mus musculus. 94 samples. Type: Methylation profiling by array.
Amino acids activate mTORC1 to release roe deer embryos from decelerated proliferation during diapause
GEO Series GSE158806. Capreolus capreolus. 143 samples. Type: Expression profiling by high throughput sequencing.
................................................................................................................................................. Fig. 4. DNA fingerprint analysis of the four new isolates and other Bartonella species by ERICPCR. Lanes: M, molecular mass markers; 1, negative control; 2, R1T; 3, R3; 4, R4; 5, R6; 6, Bartonella henselae; 7, Bartonella quintana; 8, Bartonella bacilliformis; 9, Bartonella elizabethae; 10, Bartonella clarridgeiae; 11, Bartonella alsatica; 12, Bartonella tribocorum; 13, Bartonella grahamii; 14, Bartonella doshiae; 15, Bartonella vinsonii spp. arupensis; 16, Bartonella vinsonii spp. berkhoffii; 17, Bartonella vinsonii spp. vinsonii; 18, Bartonella koehlerae. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 4. DNA fingerprint analysis of the four new isolates and other Bartonella species by ERICPCR. Lanes: M, molecular mass markers; 1, negative control; 2, R1T; 3, R3; 4, R4; 5, R6; 6, Bartonella henselae; 7, Bartonella quintana; 8, Bartonella bacilliformis; 9, Bartonella elizabethae; 10, Bartonella clarridgeiae; 11, Bartonella alsatica; 12, Bartonella tribocorum; 13, Bartonella grahamii; 14, Bartonella doshiae; 15, Bartonella vinsonii spp. arupensis; 16, Bartonella vinsonii spp. berkhoffii; 17, Bartonella vinsonii spp. vinsonii; 18, Bartonella koehlerae.
................................................................................................................................................. Fig. 2. Negative staining of strain R1T. Bar, 1 lm. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 2. Negative staining of strain R1T. Bar, 1 lm.
................................................................................................................................................. Fig. 1. Colony dimorphism of strain R1T at secondpassage on blood agar after 8 d of growth. Bar, 2 mm. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 1. Colony dimorphism of strain R1T at secondpassage on blood agar after 8 d of growth. Bar, 2 mm.
ScienceDex guides
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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.