Individuals within a population often behave differently and these differences can be consistent over time and/or context, also termed "animal personality". Animal personality has been commonly classified into five axes with studies aiming to validate these axes. One subject that has surprisingly not received full attention yet is the difference between the two personality axes "activity" and "exploration-avoidance", i.e. behaviour in a known vs an unknown environment. Despite this clear difference in definition, many studies measure activity in an unknown environment and term it activity, while underlying motivations between the two environments are different. This study aimed to detect the two personality traits "activity" and "exploration" in Atlantic cod juveniles, and to investigate whether they support the distinctive definitions proposed by previous authors. This study showed significant consistency in locomotion variation in both environments, i.e. personality. In addition, the two environments clearly elicited different behaviours; Atlantic cod juvenile behaviour was more repeatable and they moved more in the known vs the unknown environment, and no correlation of the proportional locomotion between the two was found. This demonstrates that locomotion in both environments, i.e. the personality axes "activity" and "exploration", should not be confused nor treated as if they reflect the same personality trait.
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http://dx.doi.org/10.1016/j.beproc.2022.104736 | DOI Listing |
Appl Environ Microbiol
January 2025
Joint Degree Program of Kasetsart University and Yamaguchi University, Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan.
Unlabelled: Incomplete oxidation of glucose by sp. strain CHM43 produces gluconic acid and then 2- or 5-ketogluconic acid. Although 2-keto-D-gluconate (2KG) is a valuable compound, it is sometimes consumed by itself via an unknown metabolic pathway.
View Article and Find Full Text PDFAnimals survive in dynamic environments changing at arbitrary timescales, but such data distribution shifts are a challenge to neural networks. To adapt to change, neural systems may change a large number of parameters, which is a slow process involving forgetting past information. In contrast, animals leverage distribution changes to segment their stream of experience into tasks and associate them with internal task abstracts.
View Article and Find Full Text PDFPhysiol Plant
January 2025
Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
Underwater CO concentration fluctuates extremely in natural water bodies. Under low CO, the unique CO concentrating mechanism in aquatic plants, bicarbonate use, can suppress photorespiration. However, it remains unknown (1) to what extent bicarbonate use reduces photorespiration, (2) how exactly photorespiration varies between bicarbonate-users and CO-obligate users under CO-fluctuated environments, and (3) what are differences in Rubisco characteristics between these two types of aquatic plants.
View Article and Find Full Text PDFPaediatr Perinat Epidemiol
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Background: Epidemiologic studies have demonstrated that ambient concentrations of particulate matter < 2.5 μm (PM) are associated with reduced fecundability, the per cycle probability of conception. The specific constituents driving this association are unknown.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for animal model, State Key Laboratory of Respiratory Health and Multimorbidity, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China. Electronic address:
Background: Previous studies showed airborne bacteria affect pneumonia incidence, but specific impacts of bacterial communities on Klebsiella pneumoniae infection were unknown.
Methods: Five different ratios of bacterial community structures were randomly generated. Mice were divided into control, artificial bacterial community exposure, and corresponding Klebsiella pneumoniae challenge groups.
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