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The evolution of sustained plant-animal interactions depends critically upon genetic variation in the fitness benefits from the interaction. Genetic analyses of such interactions are limited to a few model systems, in part because genetic variation may be absent or the interacting species may be experimentally intractable. Here, we examine the role of sperm-dispersing microarthropods in shaping reproduction and genetic variation in mosses. We established experimental mesocosms with known moss genotypes and inferred the parents of progeny from mesocosms with and without microarthropods, using a pooled sequencing approach. Moss reproductive rates increased fivefold in the presence of microarthropods, relative to control mesocosms. Furthermore, the presence of microarthropods increased the total number of reproducing moss genotypes, and changed the rank-order of fitness of male and female moss genotypes. Interestingly, the genotypes that reproduced most frequently did not produce sporophytes with the most spores, highlighting the challenge of defining fitness in mosses. These results demonstrate that microarthropods provide a fitness benefit for mosses, and highlight the potential for biotic dispersal agents to alter fitness among moss genotypes.
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http://dx.doi.org/10.1098/rspb.2021.0119 | DOI Listing |
New Phytol
August 2025
School of Life Sciences, University of Essex, Colchester, CO4 3SQ, UK.
Stomatal density varies spatially over the leaf surface and between abaxial and adaxial leaf surfaces, with distribution greatly influencing plant photosynthesis and water use. However, methodological limitations have prevented quantification of spatial heterogeneity and its consequences for gaseous exchange in monocot crops. Here we introduce a simple and rapid method to image and quantify stomatal patterning over large (18 cm) leaf areas in situ.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Biological Sciences, University of Alabama; Tuscaloosa, AL.
Metabolic Syndrome (MetS) risk, driven by genotype-environment interactions like diet, is rising globally. Due to its genetic and environmental complexity, the genetic architecture and interconnected traits underlying MetS is poorly understood. In , genotype-by-diet interactions significantly influence MetS-like traits.
View Article and Find Full Text PDFSci Rep
July 2025
Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, UK.
Vector-borne diseases exert a considerable toll on global health. The efficacy of vector control strategies is being threatened by the emergence and spread of insecticide resistance worldwide. In this study, we collected Aedes aegypti mosquitoes from five regions of Puerto Rico to investigate their insecticide resistance phenotypes and genotypes.
View Article and Find Full Text PDFbioRxiv
May 2025
Department of Physiology & Biophysics, Case Western Reserve University School of Medicine.
In this second of three papers, we examine red blood cell (RBC) morphometry and RBC-membrane proteomics from our laboratory mouse strain (C57BL/6). In paper #1, using stopped-flow absorbance spectroscopy to ascertain the rate constant for oxyhemoglobin (HbO) deoxygenation , we find substantial reductions with (1) membrane-protein inhibitors p-chloromercuribenzenesulfonate (pCMBS) or 4,4'-diisothiocyanatostilbene-2,2'-disulfonate (DIDS); (2) knockouts of aquaporin-1 (AQP1-KO), or Rhesus blood-group-associated A-glycoprotein (RhAG-KO), or double knockouts (dKO); or (3) inhibitor+dKO. In paper #3, reaction-diffusion mathematical modeling/simulations reveal that could fall secondary to slowed intracellular O/HbO/Hb diffusion.
View Article and Find Full Text PDFAnn Rheum Dis
July 2025
Division of Medical Genetics, Department of Medicine, Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Benaroya Research Institute at Virginia Mason, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington School of M
Objectives: Noncoding variants are critical to our understanding of the genetic basis of diseases and disorders such as rheumatoid arthritis (RA). While genome-wide association studies have identified regions of the genome associated with disease, functional studies are still lagging that can identify potentially causative variants.
Methods: In order to functionally fine-map RA-associated variants, we identified variants at enhancers marked in primary activated T helper cells and conducted massively parallel reporter assay in these cells.