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Biology subjects

Hug, A.

Publications and source records attributed to Hug, A..

2 recordsLinked to original sources

Core and indicative bacterial and fungal taxa define characteristic soil communities of arable land, grassland, and forest

Soil microbial diversity has major influences on ecosystem functions and services. However, due to its complexity and uneven distribution of abundant and rare taxa, quantification of soil microbial diversity remains challenging and thereby impeding its integration into long-term monitoring programs. Using metabarcoding, we analyzed soil bacterial and fungal communities over five years at thirty long-term soil monitoring sites from the three land-use types, arable land, permanent grassland, and forest. Unlike soil microbial biomass and alpha-diversity, microbial community compositions and structures were site- and land-use-specific with CAP reclassification success rates of 100%. The temporally stable site core communities included 38.5% of bacterial and 33.1% of fungal OTUs covering 95.9% and 93.2% of relative abundances. We characterized bacterial and fungal core communities and their land-use associations at the family-level. In general, fungal families revealed stronger land-use type associations as compared to bacteria. This is likely due to a stronger vegetation effect on fungal core taxa, while bacterial core taxa were stronger related to soil properties. The assessment of core communities can be used to form cultivation-independent reference lists of microbial taxa, which may facilitate the development of microbial indicators for soil quality and the use of soil microbiota for long-term soil biomonitoring.

ecology↗

Brain tissue properties and morphometry assessment after chronic complete spinal cord injury

There is much controversy about the potential impact of spinal cord injury (SCI) on brains anatomy and function, which is mirrored in the substantial divergence of findings between animal models and human imaging studies. Given recent advances in quantitative magnetic resonance imaging (MRI) we sought to tackle the unresolved question about the link between the presumed injury associated volume differences and underlying brain tissue property changes in a cohort of chronic complete SCI patients. Using the established computational anatomy methods of voxel-based morphometry (VBM) and voxel-based quantification (VBQ) we performed statistical analyses of grey matter volume and parameter maps indicative for brains myelin, iron and free tissue water content in complete SCI patients (n=14) and healthy individuals (n=14). Our whole-brain analysis showed significant white matter volume loss in the rostral and dorsal part of the spinal cord consistent with Wallerian degeneration of proprioceptive axons in the lemniscal tract in SCI subjects, which correlated with spinal cord atrophy assessed with quantification of the spinal cord cross-sectional area at cervical level. The latter finding suggests that Wallerian degeneration of the lemniscal tract represents a main contributor to the observed spinal cord atrophy, which is highly consistent with preclinical ultrastructural/histological evidence of remote changes in the central nervous system secondary to SCI. Structural changes in the brain representing remote changes in the course of chronic SCI could not be confirmed with conventional VBM or VBQ statistical analysis. Whether and how MRI based brain morphometry and brain tissue property analysis will inform clinical decision making and clinical trial outcomes in spinal cord medicine remains to be determined.

neuroscience↗