- 1Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- 2Ocular Anti-Infectives and Inflammation, Singapore Eye Research Institute, Singapore, Singapore
- 3Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
Editorial on the Research Topic
Zoonotic diseases: epidemiology, multi-omics, and host-pathogen interactions, volume II
Emerging and re-emerging zoonotic pathogens
Li, Qi et al. examined Leucobacter holotrichiae isolated from bovine abscesses and analyzed its genomic features, identifying virulence factors, antimicrobial resistance genes, and prophage elements. Their findings expand the known host range of this previously insect-associated bacterium and provide insights into its biological characteristics. Dehong et al. investigated Streptococcus suis across pig farms in eastern China and described infection prevalence, serotype distribution, virulence gene profiles, and seasonal trends. They also assessed pathogenic differences among serotypes using pig infection models. Sihag et al. conducted longitudinal molecular surveillance of Orientia tsutsugamushi in humans, rodents, shrews, and mites. They examined circulating serotypes, analyzed genetic diversity, and reported the first detection of a TA678-like strain in Puducherry, India. Zhang, Chen et al. analyzed the occurrence of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in crab-eating macaques. They characterized age-related infection patterns, identified zoonotic genotypes, and examined subtype diversity in C. hominis. Li, Li et al. investigated the lung microbiota of raccoon dogs using high-throughput sequencing and viral metagenomics. They characterized a diverse assemblage of bacterial, fungal, and viral taxa, including multiple zoonotic species, illustrating the complexity of pneumonia outbreaks in these animals.
Mechanisms of pathogenesis and molecular evolution
Zhang, Yang et al. examined the role of Rab4b in the internalization of the Glaesserella parasuis cytolethal distending toxin (GpCDT). They analyzed Rab4b–CdtB interactions, investigated endosomal trafficking mechanisms, and identified EEA1 as a Rab4b-dependent regulator of GpCDT uptake. Wang, Guo et al. analyzed the distribution of the deubiquitinase gene elaD across 530 Escherichia coli strains. They characterized its prevalence in multiple serotypes, phylogenetic groups, and sequence types and investigated evolutionary relationships using phylogenomics. Yee et al. characterized Streptococcus pluranimalium isolates from aborted bovine fetuses. They analyzed genome sequences, examined phylogenetic relationships, and identified mobilome-associated genes and prophage integrations.
Microbiome ecology in hosts and vectors
Akdur-Öztürk et al. investigated Blastocystis across humans, livestock, and environmental sources in rural Türkiye. They analyzed subtype distributions, examined host-specific patterns, and explored associations between Blastocystis colonization and gut microbial diversity. Wang, Yu et al. analyzed microbiome profiles in three tick species and investigated how infection with spotted fever group Rickettsia or Anaplasma influenced microbial community structure. They described pathogen-associated shifts in bacterial diversity and composition.
Host responses and immunomodulation
Bi et al. examined host angiogenic responses triggered by Echinococcus multilocularis. They analyzed gene expression signatures, investigated the activation of the PDGFR/PI3K/AKT/FAK pathway, and described enhanced angiogenesis in infected liver tissues. Li, Liu et al. assessed the immunogenicity of extracellular products of Pasteurella multocida serotype A:3. They analyzed protein components, evaluated humoral and cellular immune responses, and examined protective efficacy against multiple serotypes in mice.
Translational applications and vaccine development
Zhang, Chen et al. investigated the function of pipC in Salmonella Enteritidis and analyzed the phenotypic consequences of its deletion. They described reductions in environmental stress tolerance, downregulation of T3SS-associated genes, attenuation of virulence, and evaluated the ΔpipC strain as a live-attenuated vaccine candidate.
A broad conceptual foundation is outlined by Remya et al., who reviewed the epidemiology, transmission cycles, clinical manifestations, diagnostics, and public health relevance of zoonotic filariasis. Their work emphasized the interconnected nature of host, vector, and environmental factors that shape filarial disease dynamics.
Collectively, the studies in this Research Topic examined zoonotic pathogens across ecological, molecular, and immunological dimensions. By integrating epidemiology, genomics, transcriptomics, microbiome analysis, and mechanistic biology, these contributions advance the understanding of zoonotic disease emergence and host–pathogen interactions. The insights gained support the development of improved surveillance strategies, mechanistic models, and intervention tools. We thank all authors and reviewers for their contributions and hope this Research Topic stimulates further interdisciplinary research to address the expanding challenges posed by zoonotic diseases.
Author contributions
LD: Writing – review & editing, Writing – original draft. TA: Writing – review & editing, Writing – original draft. YH: Writing – review & editing, Writing – original draft.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Shanghai Agricultural Science and Technology Innovation Project (2025-02-08-00-12-F00031), the National Natural Science Foundation of China (32503056), the Central Public-interest Scientific Institution Basal Research Fund (2025JB05), and the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2021-SHVRI).
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was used in the creation of this manuscript. ChatGPT, v. 5, a language model developed by OpenAI in San Francisco, CA, USA, helped in language editing and proofreading.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: epidemiological surveillance, host–pathogen interactions, multi-omics analysis, one health, zoonotic pathogens
Citation: Aung TT, Hong Y and Deng L (2026) Editorial: Zoonotic diseases: epidemiology, multi-omics, and host-pathogen interactions, volume II. Front. Microbiol. 16:1764511. doi: 10.3389/fmicb.2025.1764511
Received: 10 December 2025; Revised: 15 December 2025; Accepted: 15 December 2025;
Published: 04 February 2026.
Edited and reviewed by: Axel Cloeckaert, Institut National de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), France
Copyright © 2026 Aung, Hong and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lei Deng, bGRlbmdAc2h2cmkuYWMuY24=