Phylogenetic relationships and species composition of host community influence the transmission of coronaviruses in sympatric bats.

Mol Phylogenet Evol

Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China; Key Laboratory of Vegetation Ecology, School of Environment, Institute of Grassland Science, Northeast Normal University, Ministry of Education, Changchun, China. Electroni

Published: June 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Since the emergence of Severe Acute Respiratory Syndrome (SARS) in 2002, bats have been recognized as important reservoirs of diverse coronaviruses (CoVs). Despite extensive research on the broad geographic transmission of bat CoVs, there is a notable gap in understanding the transmission dynamics within sympatric bat communities. Using a phylogeographic Bayesian statistical framework, we examined CoV transmission patterns and their determinants in a region where four bat roosting caves coexist and CoVs circulate persistently. Our findings reveal that two subgenera of CoVs, α-CoVs and β-CoVs dominate different bat caves at varying times. Notably, β-CoVs show more frequent cross-species transmission events among the dominant reservoir hosts, bats of Rhinolophidae. Phylogenetic distance between host species emerges as the key influence factor of viral cross-species transmission, whereas cohabitation duration and the number of hosts sharing caves do not significantly influence viral transmission. In addition, we emphasize that the compositional similarity of species in the roosting caves is critical for the inter-cave transmission of bat-CoVs, rather than the distance between cave. These results provide novel insights into the complex transmission dynamics of bat CoVs within sympatric bat communities.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ympev.2025.108343DOI Listing

Publication Analysis

Top Keywords

transmission
9
bat covs
8
transmission dynamics
8
sympatric bat
8
bat communities
8
roosting caves
8
cross-species transmission
8
bat
6
covs
5
phylogenetic relationships
4

Similar Publications

We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19.

View Article and Find Full Text PDF

Manipulating Zika virus RNA tertiary structure for developing tissue-specific attenuated vaccines.

EMBO Mol Med

September 2025

State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, 100071, Beijing, China.

Traditional live attenuated vaccines (LAVs) are typically developed through serial passaging or genetic engineering to introduce specific mutations or deletions. While viral RNA secondary or tertiary structures have been well-documented for their multiple functions, including binding with specific host proteins, their potential for LAV design remains largely unexplored. Herein, using Zika virus (ZIKV) as a model, we demonstrate that targeted disruption of the primary sequence or tertiary structure of a specific viral RNA element responsible for Musashi-1 (MSI1) binding leads to a tissue-specific attenuation phenotype in multiple animal models.

View Article and Find Full Text PDF

Neuronal development and function are orchestrated by a plethora of regulatory mechanisms that control the abundance, localization, interactions, and function of proteins. A key role in this regard is assumed by post-translational protein modifications (PTMs). While some PTM types, such as phosphorylation or ubiquitination, have been explored comprehensively, PTMs involving ubiquitin-like modifiers (Ubls) have remained comparably enigmatic (Ubls).

View Article and Find Full Text PDF

Spiking neural networks (SNNs) inherently rely on the timing of signals for representing and processing information. Augmenting SNNs with trainable transmission delays, alongside synaptic weights, has recently shown to increase their accuracy and parameter efficiency. However, existing training methods to optimize such networks rely on discrete time, approximate gradients, and full access to internal variables such as membrane potentials.

View Article and Find Full Text PDF

Autism is a neurodevelopmental condition associated with altered resting-state brain function. An increased excitation-inhibition ratio is discussed as a pathomechanism but in-vivo evidence of disturbed neurotransmission underlying functional alterations remains scarce. We compare local resting-state brain activity and neurotransmitter co-localizations between autism (N = 405, N = 395) and neurotypical controls (N = 473, N = 474) in two independent cohorts and correlate them with excitation-inhibition changes induced by glutamatergic (ketamine) and GABAergic (midazolam) medication.

View Article and Find Full Text PDF