Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia.
Faculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia.
J Fish Dis. 2021 Mar;44(3):221-247. doi: 10.1111/jfd.13314. Epub 2020 Dec 20.
Despite important ecological role and growing commercial value of freshwater crayfish, their diseases are underresearched and many studies examining potential crayfish pathogens do not thoroughly address their epizootiology, pathology or biology. This study reviews over 100 publications on potentially pathogenic viruses, bacteria, fungi and fungal-like microorganisms reported in crayfish and systematizes them based on whether pathogenicity has been observed in an analysed species. Conclusions on pathogenicity were based on successful execution of infectivity trials. For 40.6% of examined studies, microbes were successfully systematized, while for more than a half (59.4%) no conclusion on pathogenicity could be made. Fungi and fungal-like microorganisms were the most studied group of microbes with the highest number of analysed hosts, followed by bacteria and viruses. Our analysis demonstrated the need for: (a) inclusion of higher number of potential host species in the case of viruses, (b) research of bacterial effects in tissues other than haemolymph, and (c) more research into potential fungal and fungal-like pathogens other than Aphanomyces astaci. We highlight the encountered methodological challenges and biases and call for a broad but standardized framework for execution of infectivity trials that would enable systematic data acquisition on interactions between microbes and the host.
尽管淡水小龙虾具有重要的生态作用和不断增长的商业价值,但它们的疾病研究还很不足,许多研究潜在小龙虾病原体的研究并未彻底探讨其流行病学、病理学或生物学。本研究回顾了超过 100 篇关于在小龙虾中报道的潜在致病性病毒、细菌、真菌和真菌样微生物的文献,并根据在分析物种中观察到的致病性对它们进行了系统分类。致病性的结论是基于感染性试验的成功实施。对于 40.6%的检查研究,微生物被成功地分类,而对于超过一半(59.4%)的研究,无法得出致病性的结论。真菌和真菌样微生物是研究最多的微生物群,分析的宿主数量最多,其次是细菌和病毒。我们的分析表明需要:(a)在病毒的情况下纳入更多潜在宿主物种,(b)研究血液以外组织中的细菌效应,以及(c)对除 Aphanomyces astaci 以外的潜在真菌和真菌样病原体进行更多研究。我们强调了遇到的方法学挑战和偏见,并呼吁制定广泛但标准化的感染性试验执行框架,以便能够系统地获取关于微生物与宿主之间相互作用的数据。