Application of enterococci antibiotic resistance patterns for contamination source identification at Huntington Beach, California

Choi, Sarah; Wu, Chu; Brown, Jennifer; Becker, Sarah J.; Harwood, Valerie J.; Jiang, Sunny C.

doi:10.1016/s0025-326x(03)00046-8

Cited by 55 publications

(37 citation statements)

References 15 publications

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“…For instance, Wiggins et al (1999) and Choi et al (2003) examined more than 2000 strains per set. This is quite labour-consuming and unsuitable for practical usage.…”

Section: Resultsmentioning

confidence: 99%

“…On the basis of their results, they found that most faecal pollution in Murrells Inlet is of non-human origin. Wiggins et al (1999) and Choi et al (2003), among others, studied enterococci isolates and their antibiotic resistance. The former authors studied reliability and reproducibility of enterococci isolates classification based on resistance to 9 antibiotics and their separation according to their origin into 4 types of faecal pollution (human, livestock, poultry and wild animals).…”

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confidence: 99%

“…When the isolates were assessed individually, the correct classification was reached in 64-78%, when all isolates of the individual types were averaged, the correct classification was obtained in 96-100%. Choi et al (2003) performed discriminat analysis on occurrence of resistance to 7 chosen antibiotics on 2991 enterococci strains and found that the main source of enterococci in the surfing zone of the Californian Huntington Beach is from bird excrements.…”

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confidence: 99%

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Microbial pollution of water from agriculture

Baudišová¹

2009

PLANT SOIL ENVIRON

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Microbial contamination of small streams in agricultural areas was monitored for two years. Microbiological indicators of faecal pollution (faecal coliforms, Escherichia coli and intestinal enterococci were detected by standard methods based on the cultivation of bacteria on selective media). The obtained results showed that running contamination of streams from agricultural areas was not extremely high, but it showed marked seasonal fluctuations (the average values and maximal values revealed great differences). Microbial contamination also increased several times in relation to high precipitation. The water quality in three (and/or four) localities exceeded the acceptable counts of faecal coliforms and enterococci given by the Czech legislation (40 CFU/ml for faecal coliforms and 20 CFU/ ml for enterococci). In agriculturally polluted streams, there were detected more enterococci than faecal coliforms, and also some less frequent species related to farm animals (Streptococcus equinus and S. bovis) or plant rests (E. mundtii, E. gallinarum, E. casseliflavus) were present. E. faecalis and E. faecium strains (these are the most common species related to human faecal pollution) were less frequent there.

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“…For instance, Wiggins et al (1999) and Choi et al (2003) examined more than 2000 strains per set. This is quite labour-consuming and unsuitable for practical usage.…”

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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Microbial pollution of water from agriculture

Baudišová¹

2009

PLANT SOIL ENVIRON

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“…This is due to the fact that, many people living in slums and rural areas have little or no access to basic necessities, such as clean water, toilet facilities, and sewage disposal (Mohammed, 2002). Although humans or sewage effluents can be sources of faecal indicator bacteria in water, wildlife and waterfowl may also contribute to the observed faecal bacteria contamination (Choi et al, 2003).…”

Section: Discussionmentioning

confidence: 99%

Assessment of Faecal Bacteria Contamination in Selected Coastal Waters of Tanzania

Mwakalobo

Namkinga

Lyimo

et al. 2013

JBLS

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Coastal communities of Tanzania use natural water systems such as rivers, estuaries and Science ISSN 2157-6076 2013 www.macrothink.org/jbls 64 marine for various activities like drinking, fishing, washing and bathing. However, there is scanty information on the safety for these water bodies for the various uses. In this study faecal indicator bacteria were assessed in three sites along the coast of Tanzania (i.e. Pangani Estuary in Tanga Region, Ruvu Estuary in Pwani Region and Mzinga Creek in Dar Es Salaam Region). At each site, three sampling stations covering fresh, brackish and marine waters were selected for monthly sampling between July 2009 and June 2010. Faecal bacterial indicators were generally higher in Mzinga Creek compared to the rest of the study sites with significant differences between Mzinga Creek and Pangani Estuary for total coliforms (TC) and faecal coliforms (FC) (P < 0.05). All faecal indicator bacteria were significantly higher in fresh waters compared to brackish and marine waters (P = 0.0001), for TC and FC and P = 0.001 for Enterococcus (ENT). The faecal indicator bacteria correlated positive to each other and negatively to some environmental parameters namely pH and Salinity. Results suggest allochthonous sources of contamination and the influence of environmental factors. Generally the faecal bacterial indicators in the studied waters along the coast of Tanzania were within the acceptable standards according to WHO and USEPA indicating low risks situation for recreational purposes. However, these levels of faecal bacteria does not warrant the use in the studied estuaries for shellfish harvesting and the fresh water is not suitable for direct drinking. Further studies and monitoring programs are recommended to substantiate the current results. Journal of Biology and Life

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“…The ARA approach is based on the premise that fecal indicator bacteria (FIB) from hosts exposed to antibiotics will develop resistance to those antibiotics, and on the hypothesis that this selective pressure would be a mechanism for discriminating among fecal indicator bacteria from a variety of hosts [30][31][32][33][34][35]. A library or database composed of antibiotic resistance profiles (ARP) of FIB from known host sources is developed and serves as a point of reference for identifying unknown source isolates from water sources.…”

Section: Introductionmentioning

confidence: 99%

Microbial Source Tracking in a Watershed Dominated by Swine

Liwimbi¹,

Graves

Israel

et al. 2010

Water

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Abstract:The high concentration of swine production in southeastern North Carolina generates public health concerns regarding the potential transport of pathogens from these production systems to nearby surface waters. The microbial source tracking (MST) tool, antibiotic resistance analysis (ARA), was used to identify sources of E. coli in a segment of Six Runs Creek in Sampson County, North Carolina. Among 52 water samples, fecal coliform (FC) counts averaged 272.1 ± 181.6 CFU/100 mL. Comparisons of isolates from water samples to an ARA library with an average rate of correct classification (ARCC) of 94.3% indicated an average of 64% and 27.1% of 1,961 isolates from Six Runs Creek were associated with lagoon effluent and cattle manure respectively. The potential for aerosol transport of bacteria during lagoon spray events, as well as, the potential for wildlife to serve as a vehicle of transport for bacteria from fields and lagoons to nearby surface waters should be investigated further.

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Application of enterococci antibiotic resistance patterns for contamination source identification at Huntington Beach, California

Cited by 55 publications

References 15 publications

Microbial pollution of water from agriculture

Microbial pollution of water from agriculture

Assessment of Faecal Bacteria Contamination in Selected Coastal Waters of Tanzania

Microbial Source Tracking in a Watershed Dominated by Swine

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