生物
寄生虫寄主
环境DNA
病菌
核糖核酸
分子诊断学
生态学
计算生物学
动物
微生物学
遗传学
基因
生物多样性
万维网
计算机科学
作者
David Bass,Kevin W. Christison,Grant D. Stentiford,Lauren S.J. Cook,Hanna Hartikainen
标识
DOI:10.1016/j.pt.2022.12.010
摘要
Detection of pathogens, parasites, and other symbionts in environmental samples via eDNA/eRNA (collectively eNA) is an increasingly important source of information about their occurrence and activity. There is great potential for using such detections as a proxy for infection of host organisms in connected habitats, for pathogen monitoring and surveillance, and for early warning systems for disease. However, many factors require consideration, and appropriate methods developed and verified, in order that eNA detections can be reliably interpreted and adopted for surveillance and assessment of disease risk, and potentially inclusion in international standards, such as the World Organisation for Animal Health guidelines. Disease manifestation results from host-symbiont-environment interactions between hosts, demanding a multifactorial approach to interpretation of eNA signals.
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