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Temporal variations in genotype distribution of human sapoviruses and Aichi virus 1 in wastewater in Southern Arizona, United States

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/73810

Title: Temporal variations in genotype distribution of human sapoviruses and Aichi virus 1 in wastewater in Southern Arizona, United States
Authors: Kitajima, M. Browse this author
Rachmadi, A. T. Browse this author
Iker, B. C. Browse this author
Haramoto, E. Browse this author
Gerba, C. P. Browse this author
Keywords: Aichi virus 1
gastroenteritis
genotyping
molecular epidemiology
PCR
sapovirus
sequencing
water
Issue Date: May-2018
Publisher: John Wiley & Sons
Journal Title: Journal of applied microbiology
Volume: 124
Issue: 5
Start Page: 1324
End Page: 1332
Publisher DOI: 10.1111/jam.13712
Abstract: Aims: To investigate the molecular epidemiology, especially temporal variations in genotype distribution, of sapoviruses and Aichi virus 1 (AiV-1) in Arizona, United States, by examining wastewater. Methods and : total of 26 wastewater samples (13 influent and 13 effluent) were collected monthly from a wastewater treatment plant and viral strains were identified through nested reverse transcription-PCR followed by cloning and sequencing analysis. Identified sapovirus strains were classified into seven genotypes belonging to three genogroups (GI, GII, and GV): GI.1, GI.2, GI.3, GII.1, GII.2, GII.8 and GV.1, with a clear temporal shift. The majority of AiV-1 strains identified from the wastewater samples were classified into genotype B, and genotype A strains were identified in only two samples. Conclusions: We identified a number of sapovirus and AiV-1 strains belonging to multiple genotypes in wastewater samples collected over a 13-month period. Our results suggested a temporal shift in prevalent genotypes in the community. Significance and Impact of the Study: This is the first study elucidating the genotype distribution of human sapoviruses and AiV-1 in wastewater in the United States. Wastewater surveillance is especially useful for understanding molecular epidemiology of viruses that are less commonly tested in clinical diagnosis, including sapoviruses and AiV-1.
Rights: This is the peer reviewed version of the following article: Journal of applied microbiology 124(5) pp.1324-1332 May 2018, which has been published in final form at https://doi.org/10.1111/jam.13712 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Type: article (author version)
URI: http://hdl.handle.net/2115/73810
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 北島 正章

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