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DOI 10.1016/j.meegid.2017.08.023

Медицинская библиотека · Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2017

Subtype analysis of zoonotic pathogen Cryptosporidium skunk genotype.

Yan Wenchao, Alderisio Kerri, Roellig Dawn M, Elwin Kristin, Chalmers Rachel M, Yang Fengkun, Wang Yuanfei, Feng Yaoyu, Xiao Lihua

СтатьяПоддержка исследования: вне правительства СШАПоддержка службы здравоохранения СШАПеревод в очереди

Аннотация

Cryptosporidium skunk genotype is a zoonotic pathogen commonly identified in surface water. Thus far, no subtyping tool exists for characterizing its transmission in humans and animals and transport in environment. In this study, a subtyping tool based on the 60kDa glycoprotein (gp60) gene previously developed for Cryptosporidium chipmunk genotype I was used in the characterization of Cryptosporidium skunk genotype in animal and storm runoff samples from a watershed in New York. Altogether, 17 positive samples from this watershed and 5 human and animal specimens from other areas were analyzed. We identified 14 subtypes of Cryptosporidium skunk genotype, 11 of which were seen in the watershed. In phylogenetic analysis, these subtypes belonged to 4 subtype families (XVIa, XVIb, XVIc, and XVId). No host-adapted subtypes were identified and the two subtypes in humans were genetically similar to some in raccoons, otters, and storm runoff samples from the watershed. The characteristics of gp60 protein sequences of the Cryptosporidium skunk genotype are similar to those of other Cryptosporidium species, but only its XVIb subtype family has a putative furin cleavage site. This subtyping tool might be useful in characterizing Cryptosporidium skunk genotype in clinical and environmental samples.

Для цитирования: Yan Wenchao, Alderisio Kerri, Roellig Dawn M, Elwin Kristin, Chalmers Rachel M, Yang Fengkun, Wang Yuanfei, Feng Yaoyu, Xiao Lihua. Subtype analysis of zoonotic pathogen Cryptosporidium skunk genotype.. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2017. DOI: 10.1016/j.meegid.2017.08.023.

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