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Effects of Geosmin on the Behavior of Soil Protists.

Microb Ecol

March 2025

Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA.

Geosmin is a volatile organic compound (VOC) produced by a range of different soil microorganisms, and is most commonly recognized for its characteristic "earthy" scent evident after rainfall. Though it remains unclear why microorganisms produce geosmin, we know that exposure to geosmin can influence behaviors across a wide range of organisms, serving as both an attractant and a repellant, but geosmin effects on soil protists remain largely unstudied. We investigated how soil protists respond to geosmin exposures, focusing on representatives of three morphological groups of protists, Colpoda sp.

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The ubiquitin-binding protein p62, encoded by Sequestosome 1 (SQSTM1), is an essential molecular adaptor for selective autophagy. Heterozygous mutations deleting or disrupting the ubiquitin-associated (UBA) domain of p62 have been reported as the major genetic cause for Paget's disease of bone (PDB), the second most common skeletal disease, characterized by hyperactive osteoclasts and focal increases of bone turnover. In this study, we aimed to determine the impact of a similar sqstm1/p62 mutation on the skeleton of zebrafish.

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The order Holosporales is a broad and ancient lineage of bacteria obligatorily associated with eukaryotic hosts, mostly protists. Significantly, this is similar to other evolutionary distinct bacterial lineages (e.g.

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Background Aims: The human leukocyte antigen (HLA) locus is implicated in hepatocellular carcinoma (HCC) among chronic hepatitis B virus (HBV) carriers. We investigated associations of HLA variants, amino acid polymorphisms, zygosity, and evolutionary divergence (HED) with HBV-related HCC in Han Chinese and explored biological mechanisms.

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Leveraging Massive Opportunistically Collected Datasets to Study Species Communities in Space and Time.

Ecol Lett

March 2025

Laboratory of Freshwater Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.

Online portals have facilitated collecting extensive biodiversity data by naturalists, offering unprecedented coverage and resolution in space and time. Despite being the most widely available class of biodiversity data, opportunistically collected records have remained largely inaccessible to community ecologists since the imperfect and highly heterogeneous detection process can severely bias inference. We present a novel statistical approach that leverages these datasets by embedding a spatiotemporal joint species distribution model within a flexible site-occupancy framework.

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