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February 12, 2026Animals0 citationsOpen Access

Navigating the Complexity: Advancing Diagnostic Strategies for Avian Reovirus in Chinese Poultry

XCXi ChenLZLingyue ZhengGYGuangju You

Key Points

  • The aim is to evaluate and improve diagnostic strategies for avian reovirus (ARV) in China's poultry industry.
  • Systematic review of current diagnostic techniques including virus isolation, ELISA, PCR/qPCR.
  • Assessment of molecular characteristics and diversity of ARV strains in China.
  • Evaluation of innovative diagnostic technologies like multiplex qPCR, CRISPR-Cas systems, and NGS.
  • Identified complex serotypic and genotypic diversity of ARV strains, especially from waterfowl.
  • Conventional diagnostic methods showed limitations in efficacy due to evolving ARV strains.
  • Proposed next-generation diagnostics could enhance ARV control through better accuracy and efficiency.

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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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/698d6f0d5be6419ac0d55159https://doi.org/10.3390/ani16040553
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