Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis

Water vending machines provide an alternative source of clean and safe drinking water to the consumers. However, the quality of drinking water may alter due to contamination from lack of hygienic practices and maintenance of the machines. Hence, this study was conducted to determine the microbiologi...

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Main Authors: Ee, Yau Tan, Mohammed Arifullah, Jan, Mei Soon
Format: Non-Indexed Article
Language:English
Published: Springer Netherlands 2016
Online Access:http://discol.umk.edu.my/id/eprint/8172/1/Identification%20of%20E%20coli%20strains%20from%20WVM_Tan%20et%20al.%202016.pdf
http://discol.umk.edu.my/id/eprint/8172/
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Institution: Universiti Malaysia Kelantan
Language: English
id my.umk.eprints.8172
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spelling my.umk.eprints.81722022-05-23T14:57:33Z http://discol.umk.edu.my/id/eprint/8172/ Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis Ee, Yau Tan Mohammed Arifullah Jan, Mei Soon Water vending machines provide an alternative source of clean and safe drinking water to the consumers. However, the quality of drinking water may alter due to contamination from lack of hygienic practices and maintenance of the machines. Hence, this study was conducted to determine the microbiological quality of water from vending machines and associated contact surfaces. Seventeen water samples and 85 swab samples (nozzles, drip trays, coin slots, buttons and doors) from 3 locations in Kelantan were collected. Polymerase chain reaction amplification and 16S ribosomal ribonucleic acid (rRNA) sequencing were carried out and sequences obtained were compared against the sequences available in the National Centre for Biotechnology Information database using the basic local alignment search tool programme. Coliform counts were observed in 94.12 % of water samples, 76.47 % of nozzles and 82.35 % of drip tray swabs. Furthermore, results of 16S rRNA sequence analysis indicated that two gram-negative isolates were identified as Escherichia coli U 5/41 (Accession no. NR_024570.1) and E. coli O157:H7 EDL933 (Accession no. CP008957.1) with similarity value of 100 %, respectively. The results from this study further improve our understanding of the potential microorganisms in drinking water. Regular maintenance and cleaning of water vending machines are important to reduce bacterial growth and the presence of waterborne pathogens. Springer Netherlands 2016-02 Non-Indexed Article NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/8172/1/Identification%20of%20E%20coli%20strains%20from%20WVM_Tan%20et%20al.%202016.pdf Ee, Yau Tan and Mohammed Arifullah and Jan, Mei Soon (2016) Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis. Exposure and Health. pp. 1-6. ISSN 2451-9766
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description Water vending machines provide an alternative source of clean and safe drinking water to the consumers. However, the quality of drinking water may alter due to contamination from lack of hygienic practices and maintenance of the machines. Hence, this study was conducted to determine the microbiological quality of water from vending machines and associated contact surfaces. Seventeen water samples and 85 swab samples (nozzles, drip trays, coin slots, buttons and doors) from 3 locations in Kelantan were collected. Polymerase chain reaction amplification and 16S ribosomal ribonucleic acid (rRNA) sequencing were carried out and sequences obtained were compared against the sequences available in the National Centre for Biotechnology Information database using the basic local alignment search tool programme. Coliform counts were observed in 94.12 % of water samples, 76.47 % of nozzles and 82.35 % of drip tray swabs. Furthermore, results of 16S rRNA sequence analysis indicated that two gram-negative isolates were identified as Escherichia coli U 5/41 (Accession no. NR_024570.1) and E. coli O157:H7 EDL933 (Accession no. CP008957.1) with similarity value of 100 %, respectively. The results from this study further improve our understanding of the potential microorganisms in drinking water. Regular maintenance and cleaning of water vending machines are important to reduce bacterial growth and the presence of waterborne pathogens.
format Non-Indexed Article
author Ee, Yau Tan
Mohammed Arifullah
Jan, Mei Soon
spellingShingle Ee, Yau Tan
Mohammed Arifullah
Jan, Mei Soon
Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
author_facet Ee, Yau Tan
Mohammed Arifullah
Jan, Mei Soon
author_sort Ee, Yau Tan
title Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
title_short Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
title_full Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
title_fullStr Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
title_full_unstemmed Identification of escherichia coli strains from water vending machines of Kelantan, Malaysia using 16S rRNA gene sequence analysis
title_sort identification of escherichia coli strains from water vending machines of kelantan, malaysia using 16s rrna gene sequence analysis
publisher Springer Netherlands
publishDate 2016
url http://discol.umk.edu.my/id/eprint/8172/1/Identification%20of%20E%20coli%20strains%20from%20WVM_Tan%20et%20al.%202016.pdf
http://discol.umk.edu.my/id/eprint/8172/
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