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Navigating the Complexity: Advancing Diagnostic Strategies for Avian Reovirus in Chinese Poultry
Qingsen Wang1,2, Lingyue Zheng1,3, Guangju You1,2
1Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou 350000, China.
Abstract:
Avian reovirus (ARV) infections pose a significant and evolving threat to China's poultry industry, the world's largest. Diverse farming systems-ranging from modern intensive operations to traditional waterfowl-poultry polyculture-foster a unique ecological niche for ARV, defined by complex serotypic and genotypic diversity, marked regional variations, potential interspecies transmission between chickens and waterfowl, and recurrent co-infections. Collectively, these factors undermine the efficacy of conventional diagnostic approaches. This review systematically outlines the current epidemic landscape of ARV in China, highlighting the molecular characteristics of prevailing strains (particularly those from waterfowl) and their roles in diagnostic evasion. We critically assess the performance and limitations of existing diagnostic techniques (virus isolation, ELISA, PCR/qPCR) within the Chinese epidemiological setting. Furthermore, we discuss innovative technologies-including multiplex qPCR, CRISPR-Cas systems, and next-generation sequencing (NGS)-that offer potential for developing next-generation diagnostics tailored to China's specific challenges. Finally, we propose future directions, with an emphasis on standardization, data sharing, and interdisciplinary collaboration to bridge the gap between cutting-edge innovation and on-farm application for precise ARV control.
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