The ambrosia beetle Platypus quercivorus (Murayama) is a vector of Japanese oak wilt, a fungal pathogen that causes mass mortality of Fagaceae trees. The male locates and lands on the host tree and releases an aggregation pheromone that attracts both males and females. Thus, aggregation pheromones and host tree volatiles are important chemicals for host location. However, the antennal responses to these volatiles have not yet been examined. To obtain physiological property of P. quercivorus antennae, we electrophysiologically recorded the antennal responses of this beetle to candidate volatiles, including isoprene and other leaf volatiles (1-hexanol, 2-ethyl-1-hexanol, trans-2-hexenal, decanal, and benzaldehyde) of the host trees, as well as quercivorol (aggregation pheromone) and ethanol (widely used for trapping this insect in the field). Electroantennograms (EAGs) exhibited clear dose-dependent responses to the tested volatiles, but antennae did not respond to decanal. Sexual differences in responses were not observed for almost all volatiles. However, the EAGs suggested that the quercivorol and trans-2-hexenal sensitivity of males was higher than that of females. Ethanol elicited a large EAG amplitude in both sexes, but the sensitivity of males or females to ethanol was lower than that to the other volatiles. EAGs showed a very weak response to isoprene only in males, although isoprene is considered a possible attractant for host location. Our study will facilitate to understand the mechanism of the host location ecologically and neurophysiologically.
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http://dx.doi.org/10.1007/s10886-025-01580-8 | DOI Listing |
PLoS Negl Trop Dis
March 2025
Global and Tropical Health, Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Sabah, Malaysia, has amongst the highest burden of human Plasmodium knowlesi infection in the world, associated with increasing encroachment on the parasite's macaque host habitat. However, the genomic make-up of P. knowlesi in Sabah was previously poorly understood.
View Article and Find Full Text PDFNanoscale
March 2025
Institute of Physical and Theoretical Chemistry, University of Tübingen, Tübingen (Baden-Württemberg), Germany.
Hexagonal (β-) NaYF and LiYF doped with trivalent lanthanide ions (Ln, , Er, Tm, and Yb) are well-known photon upconverting materials. This property is crucially determined by the precise location of the Ln dopant ions and their closest neighbouring ions in the host material. However, due to the inherent disorder of the crystal structures the atomistic structure of a disordered crystal such as β-NaYF is not unambiguously provided by X-ray diffraction techniques.
View Article and Find Full Text PDFMedicine (Baltimore)
March 2025
Department of Orthopaedics, Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine, Zhuhai, Guangdong, China.
Emerging evidence indicates an association between the gut microbiota and the incidence of osteonecrosis (ON), yet the literature has not adequately addressed whether this relationship is causal. This study uses data from the MiBioGen Consortium and the UK Biobank for Mendelian randomization (MR) analysis to identify pathogenic gut microbial taxa associated with ON. Sensitivity analyses confirmed causal relationships, while reverse MR ruled out reverse causation.
View Article and Find Full Text PDFPLoS Negl Trop Dis
March 2025
CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
Background: COVID-19 pandemic had unprecedented global impact on health and society, highlighting the need for a detailed understanding of SARS-CoV-2 evolution in response to host and environmental factors. This study investigates the evolution of SARS-CoV-2 via mutation dynamics, focusing on distinct age cohorts, geographical location, and vaccination status within the Indian population, one of the nations most affected by COVID-19.
Methodology: Comprehensive dataset, across diverse time points during the Alpha, Delta, and Omicron variant waves, captured essential phases of the pandemic's footprint in India.
Proc Natl Acad Sci U S A
March 2025
Department of Biology, Stanford University, Stanford, CA 94305.
Microbial communities vary across space, time, and individual hosts, generating a need for statistical methods capable of quantifying variability across multiple microbiome samples at once. To understand heterogeneity across microbiome samples from different host individuals, sampling times, spatial locations, or experimental replicates, we present FAVA (-based Assessment of Variability across vectors of relative Abundances), a framework for characterizing compositional variability across two or more microbiome samples. FAVA quantifies variability across many samples of taxonomic or functional relative abundances in a single index ranging between 0 and 1, equaling 0 when all samples are identical and 1 when each sample is entirely composed of a single taxon (and at least two distinct taxa are present across samples).
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