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Schwalb, A.

Publications and source records attributed to Schwalb, A..

3 recordsLinked to original sources

Nitrogen fertilization outweighs plant species loss in shaping bacterial belowground diversity in an alpine meadow on the central Tibetan Plateau

Plant species loss and nitrogen fertilization affect grassland biodiversity. However, their interactive effects on plant communities, soil properties, and the soil microbiome remain insufficiently understood. We analyzed how the removal of plant species, with and without urea addition, influenced plant diversity, soil properties, and soil bacterial communities in a Tibetan Plateau grassland. Continuous plant species removal and urea addition over seven years modified plant beta-diversity equally strong, while urea exerted a stronger negative effect on plant alpha-diversity. Both, plant species removal and urea addition caused soil acidification and an increase in NO2-/NO-, while dynamics in TOC, TON and TOC: TON were mainly driven by the growing season. Structural equation modeling identified soil acidification via urea addition as the most important indirect driver that negatively affected bacterial alpha-diversity and shifted bacterial beta-diversity. Urea addition also exerted direct negative effects on bacterial alpha- and beta-diversity, causing repression of oligotrophic (Acidobacteriota, Chloroflexota, Planctomycetota, Gemmatimonadota) and stimulation of copiotrophic (Bacillota, Bacteroidota, Pseudomonadota) bacterial taxa. Plant species removal caused slight increases in bacterial alpha-diversity, paralleled by less diverse but more even plant communities. We show that soil acidification by urea fertilization outweighs plant species loss in its negative effect on bacterial soil biodiversity in Tibetan grasslands.

ecology↗

Individualized and stereotypical seizure semiology in a porcine model of post-traumatic epilepsy.

Large-animal models of traumatic brain injury may yield translatable data on epileptogenesis, given their similarities in anatomy, brain size, and immune systems to humans. Adult male and female swine received bilateral cortical impact (N=16) or sham surgery (N=6) and were screened for convulsions via video-EEG for up to one year. Post-traumatic epilepsy (PTE) was defined as 2 seizures after 1-week post-injury. Nine out of sixteen pigs (56%) receiving bilateral cortical impact developed PTE, with an average 4.6 months ({+/-}3.4,SD) latent period. Seizures (N = 199) began focally, sometimes with motor onset including automatisms, before becoming generalized, with tonic-clonic or tonic convulsions. We defined a library differentiating peri-ictal behaviors (N = 31) from rhythmic/odd behaviors typical in healthy pigs (N = 12). Seizures had an average of 7.3 behaviors per seizure (max 26) lasting an average of 1.8 minutes (max 7.9). For seizures comprised of multiple convulsive episodes, the first convulsion had a greater number of peri-ictal behaviors than subsequent convulsions (P < 0.001). The array of peri-ictal behaviors displayed was pig-specific, with many behaviors consistently observed across seizures. The seizure frequency detected was 0.38/day. This large-brain model of PTE exhibits a variable period of epileptogenesis, a substantial rate of PTE, and an expansive repertoire of ictal behaviors. This first description of semiology in this species will serve as a guide for other porcine epilepsy models. Biofidelic models of PTE are expected to increase our understanding of the pathophysiology, enabling the identification and testing of therapeutics that translate into human patients. HighlightsO_LIThe average time from bilateral cortical impact to post-traumatic epilepsy in swine is 6 months, and is highly variable, ranging from 2 to 47 weeks post-TBI. C_LIO_LISwine with post-traumatic epilepsy display an array of specific behaviors around convulsions, distinct from pigs without post-traumatic epilepsy. C_LIO_LIThough the duration of convulsion was typically a few seconds, the entire seizure, with the associated peri-ictal behaviors, lasts up to 7.9 minutes. C_LIO_LIThe complexity of behaviors around convulsions tended to increase from early traumatic seizures to post-traumatic seizures. C_LIO_LIPeri-ictal behaviors observed around convulsions in an individual were often displayed prior to the first convulsion. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/708000v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@9523aborg.highwire.dtl.DTLVardef@158cfa6org.highwire.dtl.DTLVardef@1a8b499org.highwire.dtl.DTLVardef@e8c86f_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Microbial sedimentary DNA from a cultural landscape disentangles the impacts of humans and nature over the past 13.5 thousand years

Bacteria and archaea are currently under-characterised in palaeoecological studies, despite their ubiquity, high diversity and tight integration with the biotic and abiotic environment and human activity. The complexity of their assemblages, and the difficulties in separating living- from paleo-prokaryotes renders analyses challenging. Here we present an ancient prokaryote metagenomic time-series from a sediment core of Lake Constance, a large and deep perialpine lake from temperate Europe, spanning the last 13,500 years of natural and anthropogenic impact. We mapped DNA to reference genomes and estimated the DNA damage of taxa, which displayed a monotonic relationship with time. By constructing co-abundance networks we recognize major microbial assemblages, containing both ancient and living microbes, that show specific dynamics. Short-term and often low-abundance assemblages are linked to the Pleistocene-Holocene transition, floods and human activities. Noticeably, certain lineages harbouring microbes common in human-impacted environments expanded during the Middle Ages and Modern time. Some abundant taxa that were linked to various freshwater and soil environments persisted through millennia. By extricating various sources and trajectories of change, we demonstrate the power of prokaryotic sedimentary DNA in revealing long-term eco-evolutionary outcomes caused by both nature- and humans.

ecology↗