Journal article
Population similarity analysis of indicator bacteria for source prediction of faecal pollution in a coastal lake
Marine Pollution Bulletin, Vol.56(8), pp.1469-1475
2008
Abstract
Biochemical fingerprinting (BF) databases of 524 enterococci and 571 Escherichia coli isolates and an antibiotic resistance analysis (ARA) database comprising of 380 E. coli isolates from four suspected sources (i.e. dogs, chickens, waterfowls, and human sewage) were developed to predict the sources of faecal pollution in a recreational coastal lake. Twenty water samples representing four sampling episodes were collected from five sites and the enterococci and E. coli population from each site were compared with those of the databases. The degree of similarity between bacterial populations was measured as population similarity (Sp) coefficient. Using the BF-database, bacterial populations of waterfowls showed the highest similarity with the water samples followed by a sewage treatment plant (STP). Higher population similarities were found between samples from STP and water samples especially at two sites (T2 and T3) which were located near the sewerage pipes collecting wastewater from the study area. When using the ARA-database, the highest similarity was found between E. coli populations from STP and water samples at sites T2 and T4. Both faecal indicators and as well as methods predicted human faecal pollution, possibly through leakage from submerged sewerage pipes. The results indicated that the Sp-analysis of faecal indicator bacterial populations from suspected sources and water samples can be used as a simple tool to predict the source(s) of faecal pollution in surface waters.
Details
- Title
- Population similarity analysis of indicator bacteria for source prediction of faecal pollution in a coastal lake
- Authors
- Warish Ahmed (Author) - University of the Sunshine Coast - Faculty of Science, Health and EducationM Hargreaves (Author) - Queensland University of TechnologyA Goonetilleke (Author) - Queensland University of TechnologyMohammad Katouli (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
- Publication details
- Marine Pollution Bulletin, Vol.56(8), pp.1469-1475
- Publisher
- Pergamon
- Date published
- 2008
- DOI
- 10.1016/j.marpolbul.2008.04.043
- ISSN
- 0025-326X
- Copyright note
- Copyright © 2008. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
- Organisation Unit
- University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449747702621
- Output Type
- Journal article
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