Naturalized<i>Escherichia coli</i>from New Zealand wetland and stream environments

Perchec-Merien, Anne-Marie; Lewis, Gillian

doi:10.1111/1574-6941.12010

Cited by 19 publications

(12 citation statements)

References 35 publications

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“…It is well known that TC bacteria are not reliable indicators of fecal contamination (Leclec et al ). Despite the historically accepted status of FC and EC bacteria as fairly reliable indicators of fecal contamination, recent research has shown that, like many members of the TC group of bacteria, indigenous, or environmentally adapted strains are found in the FC and EC bacteria groups as well (e.g., Perchec‐Merien and Lewis ). Krolik et al () found that perhaps as many as 49% of their sampled population of private wells contained E. coli that were likely not derived from either human or bovine fecal sources.…”

Section: Discussionmentioning

confidence: 99%

Repeat Sampling and Coliform Bacteria Detection Rates in New Jersey Domestic Wells

Atherholt¹,

Korn²,

Louis³

et al. 2015

Groundwater Monit R

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In compliance with the New Jersey Private Well Testing Act, 78,546 wells (93,787 samples, including samples from 13,290 wells that were analyzed more than once) were analyzed for total coliform (TC) bacteria by one or more of 39 laboratories over a 10‐year period. Samples containing TC bacteria were further analyzed for the presence of either fecal coliform or E. coli (FC/EC) bacteria. The large population of wells sampled multiple times permitted a systematic study of the effect of repeat sampling on coliform bacteria detection rates. The detection rate increased with the number of times wells were sampled. In bedrock, TC bacteria were detected in 21% of the population of wells analyzed only once, 33% in the population sampled twice, and 43% in the population sampled three times. It was estimated that TC bacteria would be detected in 90% of all wells if each well was analyzed 10 times. For FC/EC bacteria, it was estimated that 21 and 68 samples, respectively, would be required to reach the 50% and 90% population detection rates. In the Coastal Plain (CP), many more samples would be required to achieve the same estimated population detection rates. The population detection rate estimates were also dependent on the type of method used, the pH of the well water, and the geologic formation in which wells were located. A single sample was not sufficient to detect coliform bacteria when present in well water.

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Section: Discussionmentioning

confidence: 99%

Repeat Sampling and Coliform Bacteria Detection Rates in New Jersey Domestic Wells

Atherholt¹,

Korn²,

Louis³

et al. 2015

Groundwater Monit R

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“…Studying the fate of E. coli in non-enteric habitats, and identifying environmental reservoirs, is crucial to evaluate the potential acquisition of virulence or antibiotic-resistance properties, leading to infections by pathogenic E. coli (such as the O157:H7 serotype) suspected to evolve in the environment 43 44 . Recent studies identified reservoirs such as beach sands 2 45 , marine sediments and wetlands 3 4 46 . Freshwater macroalgae, such as Cladophora , can harbor FIB in lakes 24 27 29 47 .…”

Section: Discussionmentioning

confidence: 99%

Understanding the association of Escherichia coli with diverse macroalgae in the lagoon of Venice

Quero

Fasolato

Vignaroli

et al. 2015

Sci Rep

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Recent studies provided evidence that the macroalga Cladopohora in lakes hosts associated Escherichia coli, with consequences on the environmental and human health. We expanded these investigations to other macroalgae (Ulva spp., Sargassum muticum and Undaria pinnatifida) widespread in the lagoon of Venice (Italy). Attached E. coli were abundant, accounting up to 3,250 CFU gram−1 of alga. Macroalgal-associated isolates belonged to all E. coli phylogroups, including pathogenic ones, and to Escherichia cryptic clades. Attached E. coli showed potential to grow even at in situ temperature on macroalgal extracts as only source of carbon and nutrients, and ability to produce biofilm in vitro. The genotypic diversity of the attached isolates was high, with significant differences between algae and the overlying water. Our evidences suggest that attached populations consist of both resident and transient strains, likely resulting from the heterogeneous input of fecal bacteria from the city. We report that cosmopolitan and invasive macroalgae may serve as source of E. coli, including pathogenic genotypes, and that this habitat can potentially support their growth. Considering the global diffusion of the macroalgae here studied, this phenomenon is likely occurring in other coastal cities worldwide and deserves further investigations from either the sanitary and ecological perspectives.

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“…Although high-tech methods are being available still there are gaps in understanding how bacteria can cope with chemicals, how they develop resistance strategies and transfer them between bacterial cells, species, or hosts. Some of the crucial restrictions are complexity of microbiota present in various ecosystems (Allen et al, 2013; Perchec-Merien and Lewis, 2013) and studies focused on selected issues at a given point of time (Dahmen et al, 2012; Wasyl et al, 2012). Human mobility and easy transfer of goods in globalized world further tangles up epidemiology of resistance (SVARM, 2012).…”

Section: Introductionmentioning

confidence: 99%

Antimicrobial resistance in commensal Escherichia coli isolated from animals at slaughter

Wasyl¹,

Hoszowski²,

Zając³

et al. 2013

Front. Microbiol.

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Monitoring of antimicrobial resistance in commensal Escherichia coli (N = 3430) isolated from slaughtered broilers, laying hens, turkeys, swine, and cattle in Poland has been run between 2009 and 2012. Based on minimal inhibitory concentration (MIC) microbiological resistance to each of 14 tested antimicrobials was found reaching the highest values for tetracycline (43.3%), ampicillin (42.3%), and ciprofloxacin (39.0%) whereas the lowest for colistin (0.9%), cephalosporins (3.6 ÷ 3.8%), and florfenicol (3.8%). The highest prevalence of resistance was noted in broiler and turkey isolates, whereas it was rare in cattle. That finding along with resistance patterns specific to isolation source might reflect antimicrobial consumption, usage preferences or management practices in specific animals. Regression analysis has identified changes in prevalence of microbiological resistance and shifts of MIC values. Critically important fluoroquinolone resistance was worrisome in poultry isolates, but did not change over the study period. The difference (4.7%) between resistance to ciprofloxacin and nalidixic acid indicated the scale of plasmid-mediated quinolone resistance. Cephalosporin resistance were found in less than 3.8% of the isolates but an increasing trends were observed in poultry and MIC shift in the ones from cattle. Gentamycin resistance was also increasing in E. coli of turkey and cattle origin although prevalence of streptomycin resistance in laying hens decreased considerably. Simultaneously, decreasing MIC for phenicols observed in cattle and layers isolates as well as tetracycline values in E. coli from laying hens prove that antimicrobial resistance is multivariable phenomenon not only directly related to antimicrobial usage. Further studies should elucidate the scope of commensal E. coli as reservoirs of resistance genes, their spread and possible threats for human and animal health.

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NaturalizedEscherichia colifrom New Zealand wetland and stream environments

Cited by 19 publications

References 35 publications

Repeat Sampling and Coliform Bacteria Detection Rates in New Jersey Domestic Wells

Repeat Sampling and Coliform Bacteria Detection Rates in New Jersey Domestic Wells

Understanding the association of Escherichia coli with diverse macroalgae in the lagoon of Venice

Antimicrobial resistance in commensal Escherichia coli isolated from animals at slaughter

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