16 research outputs found

    Mammals show faster recovery from capture and tagging in human-disturbed landscapes

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    Wildlife tagging provides critical insights into animal movement ecology, physiology, and behavior amid global ecosystem changes. However, the stress induced by capture, handling, and tagging can impact post-release locomotion and activity and, consequently, the interpretation of study results. Here, we analyze post-tagging effects on 1585 individuals of 42 terrestrial mammal species using collar-collected GPS and accelerometer data. Species-specific displacements and overall dynamic body acceleration, as a proxy for activity, were assessed over 20 days post-release to quantify disturbance intensity, recovery duration, and speed. Differences were evaluated, considering species-specific traits and the human footprint of the study region. Over 70% of the analyzed species exhibited significant behavioral changes following collaring events. Herbivores traveled farther with variable activity reactions, while omnivores and carnivores were initially less active and mobile. Recovery duration proved brief, with alterations diminishing within 4–7 tracking days for most species. Herbivores, particularly males, showed quicker displacement recovery (4 days) but slower activity recovery (7 days). Individuals in high human footprint areas displayed faster recovery, indicating adaptation to human disturbance. Our findings emphasize the necessity of extending tracking periods beyond 1 week and particular caution in remote study areas or herbivore-focused research, specifically in smaller mammals

    Clonal evolution in patients with chronic lymphocytic leukaemia developing resistance to BTK inhibition

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    Resistance to the Bruton's tyrosine kinase (BTK) inhibitor ibrutinib has been attributed solely to mutations in BTK and related pathway molecules. Using whole-exome and deep-targeted sequencing, we dissect evolution of ibrutinib resistance in serial samples from five chronic lymphocytic leukaemia patients. In two patients, we detect BTK-C481S mutation or multiple PLCG2 mutations. The other three patients exhibit an expansion of clones harbouring del(8p) with additional driver mutations (EP300, MLL2 and EIF2A), with one patient developing trans-differentiation into CD19-negative histiocytic sarcoma. Using droplet-microfluidic technology and growth kinetic analyses, we demonstrate the presence of ibrutinib-resistant subclones and estimate subclone size before treatment initiation. Haploinsufficiency of TRAIL-R, a consequence of del(8p), results in TRAIL insensitivity, which may contribute to ibrutinib resistance. These findings demonstrate that the ibrutinib therapy favours selection and expansion of rare subclones already present before ibrutinib treatment, and provide insight into the heterogeneity of genetic changes associated with ibrutinib resistance

    Micro-macro feedback links of agricultural water management: Insights from a coupled iterative positive Multi-Attribute Utility Programming and Computable General Equilibrium model in a Mediterranean basin

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    Most water conservation policies will target agriculture, the largest human consumptive use and that concentrating the marginal (i.e. least productive) uses of the resource. Adaptation to irrigation rationing policies at the micro level will have an impact on agricultural outputs and propagate to the rest of the economic sectors at a regional and supra-regional (macro) scale. As the economy transitions towards new equilibrium commodity prices, the relevant prices for agriculture will change and this will in turn affect irrigators' decisions. This paper proposes an iterative coupling between a decentralized, non-parametric Positive Multi-Attribute Utility Programming representation of irrigators and a regionally-calibrated Computable General Equilibrium model to assess interlinkages (i.e. two-way feedbacks) between the micro- and macro-economy. Results from an application to irrigation water charges in the Murcia Region in Spain show that the coupled micro-macro model yields lower abatement costs as compared to the stand-alone micro model
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