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Treloar, A.

Publications and source records attributed to Treloar, A..

2 recordsLinked to original sources

Context Shapes Fear: Habituation of Innate Defensive Behaviours Depends on Environmental Context

The capacity of animals to rapidly and appropriately respond to potential threats is critical for survival. In many species, this involves innate defensive behaviours, such as escape or freezing. But not all threats are dangerous. Habituation - a form of non-associative learning - allows animals to filter out irrelevant stimuli and thereby avoid unnecessary energy expenditure. While it is well known that context can influence behavioural responses to associative learning, whether non-associative forms of learning, such as habituation, are also context-dependent is unclear. Here, we address this issue in mice by examining the role of environmental context on habituation of defensive behaviours to threatening visual stimuli. We first developed a protocol leading to rapid (within minutes) and stable (at least one week) habituation of freezing responses to slowly sweeping visual stimuli, resembling an aerial predator moving across the sky. Using this protocol, we tested the impact of environmental context on habituation of freezing responses, finding that changing the environmental context led to a significant and reversible reduction in habituation. In summary, we find that environmental context plays a critical role in determining the impact of habituation on visually evoked innate defensive behaviours. These findings reveal a previously unrecognised flexibility in defensive responses to visual threats, extending the influence of environmental context to non-associative learning. HighlightsO_LIMice freeze in response to sweeping visual stimuli, resembling an aerial predator. C_LIO_LIHabituation to sweeping visual stimuli could be induced rapidly and remained stable over time. C_LIO_LIHabituation to sweeping visual stimuli depended on environmental context. C_LIO_LIContext-specific habituation was reversible. C_LI

animal behavior and cognition↗

Best Practice Data Life Cycle Approaches for the Life Sciences

Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards biology as a data science and towards a life cycle view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular research domain.\n\nHere we provide an overview of best practice data life cycle approaches for researchers in the life sciences/bioinformatics space with a particular focus on omics datasets and computer-based data processing and analysis. We discuss the different stages of the data life cycle and provide practical suggestions for useful tools and resources to improve data management practices.

bioinformatics↗