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92 results for “behavioural interaction”
Data from: A strong genetic correlation underlying a behavioural syndrome disappears during development because of genotype-age interactions
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Data from: Using GPS collars to investigate the frequency and behavioural outcomes of intraspecific interactions among carnivores: a case study of male cheetahs in the Maasai Mara, Kenya
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Data from: Adaptive developmental plasticity in rhesus macaques: the serotonin transporter gene interacts with maternal care to affect juvenile social behaviour
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Data for: Infectious disease and sickness behaviour: tumour progression affects interaction patterns and social network structure in wild Tasmanian devils
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Data: Interacting effects of short-term and long-term noise exposure on anti-predator behaviour: A field experiment with sand gobies
<p>Data on anti-predator behaviour of sand gobies during trials with exposure to either boat noise or a silent control. Gobies were living in a range of quiet to noisy habitats.</p>
Generalised host-plant feeding can hide sterol specialised foraging behaviours in bee-plant interactions
<p><span><span><span><span><span><span><span><span><span><span><span>Host-plant selection is a key factor driving the ecology and evolution of insects. While the majority of phytophagous insects are highly host specific, generalist behaviour is quite widespread among bees and presumably involves physiological adaptations that remain largely unexplored. However floral visitation patterns suggest that generalist bees do not forage randomly on all available resources. While resource availability and accessibility as well as nectar composition have been widely explored, pollen chemistry could also have an impact on the range of suitable host-plants. This study focuses on particular pollen nutrients that cannot be synthesised de novo by insects but are key compounds of cell membranes and the precursor for moulting process: the sterols. We compared the sterol composition of pollen from the main host-plants of three generalist bees: <i>Anthophora plumipes</i>,<i>Colletes cunicularius</i>and <i>Osmia cornuta</i>, as well as one specialist bee <i>Andrena vaga</i>. We also analysed the sterols of their brood cell provisions, the tissues of larvae and non-emerged females to determine which sterols are used by the different species. Our results show that sterols are not used accordingly to foraging strategy: Both the specialist species <i>Andrena vaga</i>and the generalist species <i>Colletes cunicularius</i>might metabolise a rare C<sub>27</sub>sterol, while the two generalist species <i>Anthophora plumipes</i>and <i>Osmia</i><i>cornuta</i>might rather use a very common C<sub>28</sub>sterol. Our results suggest that shared sterolic compounds among plant species could facilitate the exploitation of multiple host-plants by <i>A. plumipes</i>and <i>O. cornuta</i>whereas the generalist <i>C. cunicularius</i>might be more constrained due to its physiological requirements of a more uncommon dietary sterol. Our findings suggest that a bee displaying a generalist foraging behaviour may sometimes hide a sterol-specialised species. This evidence challenges the hypothesis that all generalist free-living bee species are all able to develop on a wide range of different pollen types.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Effects of inbreeding on behavioural plasticity of parent-offspring interactions in a burying beetle
<p>Inbreeding depression is defined as a fitness decline in progeny resulting from mating between related individuals, the severity of which may vary across environmental conditions. Such inbreeding-by-environment interactions might reflect that inbred individuals have a lower capacity for adjusting their phenotype to match different environmental conditions better, as shown in prior studies on developmental plasticity. Behavioural plasticity is more flexible than developmental plasticity because it is reversible and relatively quick, but little is known about its sensitivity to inbreeding. Here we investigate effects of inbreeding on behavioural plasticity in the context of parent-offspring interactions in the burying beetle <i>Nicrophorus vespilloides</i>. Larvae increase begging with the level of hunger, and parents increase their level of care when brood sizes increase. Here we find that inbreeding increased behavioural plasticity in larvae, reducing their time spent associating with a parent in response to the length of food-deprivation more than outbred larvae. However, inbreeding had no effect on the behavioural plasticity of offspring begging or any parental behaviour. Overall, our results show that inbreeding can <i>increase</i> behavioural plasticity. We suggest that inbreeding-by-environment interactions might arise when inbreeding is associated with too little or too much plasticity in response to changing environmental conditions.</p>
Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
1. Both juvenile (Ej) and adult (Ea) environment can alter developmental trajectories, independently or interactively (as environment by environment interaction; Ej×Ea), to shape behaviour in later life. However, within a population, the developmental response of behaviours to environments can vary among genotypes (G×E×E, multidimensional behavioural plasticity). 2. Here we use a full-sibling, split-brood experimental design and random regression model to study genetic variation in behavioural plasticity across juvenile/adult density conditions in four behavioural traits of male water striders Tenagogerris euphrosyne: exploration, dispersal, same-sex sexual behaviour and remounting attempts. 3. Our results showed that both juvenile and adult density affected the expression of behaviours, and that there was modest level of genetic variation in all behaviour traits. In contrast, there was little genetic variation in behavioural plasticity across density conditions at different life stages (G×Ej, G×Ea or G×Ej×Ea) observed in all traits other than same-sex sexual behaviour. 4. We suggest that experiences at different life stages can interact to affect behavioural expression, but the magnitude of G×Ej, G×Ea or G×Ej×Ea interactions depends on the specific traits. 5. Lack of genetic variation in multidimensional behavioural plasticity may be due to strong selection across environments, high prevalence of environmental heterogeneity and/or modest genetic variance. 6. Our results highlight the complex ways in which plasticity shapes the behaviours and life-histories of organisms.
Figure 7 in Complex display behaviour during the intraspecific interactions of myrmecomorphic jumping spiders (Araneae, Salticidae)
Figure 7. Male and female of Myrmarachne assimilis copulating. Male standing beside female (facing to right) while applying palp. Female: cephalothorax lowered; abdomen flexed and rotated.
Fig. 5 in Courtship and male-male interaction behaviour of Orsima ichneumon (Simon, 1901), an ant-mimicking jumper spider (Arachnida: Salticidae)
Fig. 5. Chelicerae positions. (a) A female showing chelicerae in position 1; (b) Female (foreground) O. ichneumon rejecting male's advances (background) by rapidly raising legs I into elevated legs (position 3) when male creeps with extended legs I and opened chelicerae (position 1) to approach female; (c) Male O. ichneumon displaying to another male. Legs I elevated in position 1 and waving in up and down motion, abdomen bent to the right of the sagittal plane with chelicerae slightly open (position 2) and palps held in position 2; (d) Two male O. ichneumon lunging with elevated legs I (position 2) and about to embrace. (Top male) Chelicerae are open to 90° and fangs pointing downward (position 2). Palps are held in position 2 before transitioning to position 3 during embrace
Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
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Data from: Perinatal and juvenile social environments interact to shape cognitive behaviour and neural phenotype in prairie voles
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Data from: Effects of inbreeding on behavioural plasticity of parent-offspring interactions in a burying beetle
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Generalised host-plant feeding can hide sterol specialised foraging behaviours in bee-plant interactions
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Data from: Genetic variation in aggregation behaviour and interacting phenotypes in Drosophila
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Multi-influential interactions controls behaviour and cognition through a limited number of pathways in Down syndrome mouse models (Affymetrix reanalysis)
GEO Series GSE149466. Homo sapiens. 0 samples. Type: Expression profiling by array; Third-party reanalysis.
Multi-influential interactions controls behaviour and cognition through a limited number of pathways in Down syndrome mouse models (RNA-Seq reanalysis I)
GEO Series GSE149467. Homo sapiens. 0 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.
Video demonstration of the Farewell behaviour element in the Interactive group (behaviour element ID code: IVFA) for Korcsok and Korondi (2023), Biologia Futura
<p>The video demonstrates the behaviour element: Farewell in the interactive experimental group, as exhibited by a social robot (behaviour element ID code: <strong>IVFA</strong>). The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: <em><strong>How do you do the things that you do? - Ethological approach to the description of robot behaviour</strong></em> submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.</p>
Multi-influential interactions controls behaviour and cognition through a limited number of pathways in Down syndrome mouse models (RNA-Seq reanalysis II)
GEO Series GSE149469. Homo sapiens. 0 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.
To define the role of glycosylation in the interaction and metastatic behaviour of tumor cells
GEO Series GSE31936. Homo sapiens. 6 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.