Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126296
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Type: Journal article
Title: Prevalence of Arcobacter and other pathogenic bacteria in river water in Nepal
Author: Shrestha Ghaju, R.
Tandukar, S.
Sherchan, S.P.
Bhandari, D.
Tanaka, Y.
Sherchand, J.B.
Haramoto, E.
Citation: Water: an open access journal, 2019; 11(7):1416-1-1416-9
Publisher: MDPI
Issue Date: 2019
ISSN: 2073-4441
2073-4441
Statement of
Responsibility: 
Rajani Ghaju Shrestha, Sarmila Tandukar, Dinesh Bhandari, Samendra P. Sherchan, Yasuhiro Tanaka, Jeevan B. Sherchand and Eiji Haramoto
Abstract: This study aims to determine the diversity of pathogenic bacteria in the Bagmati River, Nepal, during a one-year period. A total of 18 river water samples were collected from three sites (n = 6 per site) along the river. Bacterial DNA, which were extracted from the water samples, were analyzed for bacterial 16S rRNA genes by next-generation sequencing for 13 of 18 samples, and by quantitative PCR targeting Arcobacter for all 18 samples. The 16S rRNA sequencing identified an average of 97,412 ± 35,909 sequences/sample, which were then categorized into 28 phyla, 61 classes, and 709 bacterial genera. Eighteen (16%) genera of 111 potential pathogenic bacteria were detected with abundance ratios of >1%; Arcobacter, Acinetobacter, and Prevotella were the dominant genera. The Arcobacter abundance ratios were 28.6% (n = 1), 31.3 ± 15.8% (n = 6), and 31.8 ± 17.2% (n = 6) at the upstream, midstream, and downstream sites, respectively. Arcobacter was detected in 14 (78%) of 18 samples tested, with concentrations ranging from 6.7 to 10.7 log10 copies/100 mL, based on quantitative PCR. Our results demonstrate the poor bacterial quality of the Bagmati River water, suggesting a need for implementing more measures to reduce fecal contamination in the river water.
Keywords: Arcobacter; next-generation sequencing; pathogenic bacteria; quantitative PCR; river water
Description: Published: 10 July 2019
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI: 10.3390/w11071416
Published version: https://www.mdpi.com/2073-4441/11/7/1416
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