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Lensen, A.

Publications and source records attributed to Lensen, A..

2 recordsLinked to original sources

Climate-Driven Forest Reassembly Follows Divergent Functional Pathways in Cold- and Warm-Adapted Communities

AimClimate change leads to the widespread rearrangement of forests predominantly towards warm-adapted lower-elevation species. However, understanding the context-specific community assembly mechanisms that underlie these changes requires a mechanistic understanding of plant responses. Here, we use functional traits and diversity indices to identify distinct responses of warm- and cold-adapted forest communities. MethodsOur analysis used seven traits, including leaf morphology, size, nutrient content, and foliar isotopes across 3,625 sites over 49 years. We derived functional strategies from community-weighted mean trait values, assessed assembly mechanisms using five multi-trait functional diversity indices, and estimated structural change and turnover rates using abundance-based dissimilarity metrics. ResultsForest composition shifted significantly towards warm-adapted, lowland species with increasing temperature (+0.12 {degrees}C/decade) and decreasing precipitation (0.87%/decade). Communities concurrently increased in functional and species richness, but became functionally more similar, indicating niche packing. Disturbance recruitment shifted warm-adapted forests towards acquisitive traits, and increases in anisohydric strategies, reflecting possible effects of CO2 fertilisation under drought stress. Cold-adapted forests, in contrast, shifted to conservative strategies and were subject to stronger abiotic filtering. Moreover, changes in nitrogen isotope ratios point towards the importance of ectomycorrhizal associations to persist under climate change. Ecotonal mixed forests showed both responses and experienced the highest turnover. Main conclusionsNew Zealand forests follow biome-specific trajectories, characterised by distinct assembly mechanisms and context-dependent ecological responses. While uniform trends obscure these responses, they can be disentangled using a functional diversity framework that incorporates isotopic traits, offering a practical means to detect and interpret community reassembly under climate change.

ecology↗

An automated microscopy workflow to study Shigella-neutrophil interactions and antibiotic efficacy in vivo

Shigella are Gram-negative bacterial pathogens responsible for bacillary dysentery (also called shigellosis). The absence of a licensed vaccine and widespread emergence of antibiotic resistance has recently led the WHO to highlight Shigella as a priority pathogen requiring urgent attention. Several infection models have been useful to explore the Shigella infection process, yet we still lack information regarding events taking place in vivo. Here, using a Shigella-zebrafish infection model and high-content microscopy, we develop an automated microscopy workflow to non-invasively study fluorescently labelled bacteria and neutrophils in vivo. We apply our workflow to antibiotic-treated zebrafish and demonstrate that neutrophil recruitment is independent of bacterial burden. Strikingly, we discover that nalidixic acid (a bactericidal antibiotic) can restrict Shigella dissemination from the hindbrain ventricle. We envision that our automated microscopy workflow, applied here to study Shigella-neutrophil interactions and antibiotic efficacy in zebrafish, can be useful to innovate treatments for infection control in humans. SUMMARY STATEMENTWe develop an automated image analysis workflow to enable fast and reliant immune cell counting in Shigella-infected zebrafish larvae, and reveal how antibiotics impact Shigella-neutrophil interactions in vivo.

microbiology↗