Literature DB >> 25198779

Can E. coli or thermotolerant coliform concentrations predict pathogen presence or prevalence in irrigation waters?

Yakov Pachepsky1, Daniel Shelton1, Sarah Dorner2, Gene Whelan3.   

Abstract

An increase in food-borne illnesses in the United States has been associated with fresh produce consumption. Irrigation water presents recognized risks for microbial contamination of produce. Water quality criteria rely on indicator bacteria. The objective of this review was to collate and summarize experimental data on the relationships between pathogens and thermotolerant coliform (THT) and/or generic E. coli, specifically focusing on surface fresh waters used in or potentially suitable for irrigation agriculture. We analyzed peer-reviewed publications in which concentrations of E. coli or THT coliforms in surface fresh waters were measured along with concentrations of one or more of waterborne and food-borne pathogenic organisms. The proposed relationships were significant in 35% of all instances and not significant in 65% of instances. Coliform indicators alone cannot provide conclusive, non-site-specific and non-pathogen-specific information about the presence and/or concentrations of most important pathogens in surface waters suitable for irrigation. Standards of microbial water quality for irrigation can rely not only on concentrations of indicators and/or pathogens, but must include references to crop management. Critical information on microbial composition of actual irrigation waters to support criteria of microbiological quality of irrigation waters appears to be lacking and needs to be collected.

Entities:  

Keywords:  Campylobacter; Cryptosporidium; Salmonella; food-borne illnesses; produce

Mesh:

Year:  2014        PMID: 25198779     DOI: 10.3109/1040841X.2014.954524

Source DB:  PubMed          Journal:  Crit Rev Microbiol        ISSN: 1040-841X            Impact factor:   7.624


  14 in total

1.  Non-potable use of Lisbon underground water: microbiological and hydrochemical data from a 4-year case study.

Authors:  Pedro Teixeira; Luís Almeida; João Brandão; Sílvia Costa; Susana Pereira; Elisabete Valério
Journal:  Environ Monit Assess       Date:  2018-07-09       Impact factor: 2.513

2.  Effect of vegetated filter strips on transport and deposition rates of Escherichia coli in overland flow in the eastern escarpments of the Mau Forest, Njoro River Watershed, Kenya.

Authors:  C O Olilo; J O Onyando; W N Moturi; A W Muia; P Ombui; W A Shivoga; A F Roegner
Journal:  Energy Ecol Environ       Date:  2016-02-14

3.  Escherichia coli, Species C Human Adenovirus, and Enterovirus in Water Samples Consumed in Rural Areas of Goiás, Brazil.

Authors:  Fernando Santos Lima; Paulo Sérgio Scalize; Ellen Flávia Moreira Gabriel; Raylane Pereira Gomes; Aline Rodrigues Gama; Meriane Demoliner; Fernando Rosado Spilki; José Daniel Gonçalves Vieira; Lilian Carla Carneiro
Journal:  Food Environ Virol       Date:  2021-11-18       Impact factor: 2.778

Review 4.  Proteomic perspectives on thermotolerant microbes: an updated review.

Authors:  Chandraprakash Yamini; Govindasamy Sharmila; Chandrasekaran Muthukumaran; Kumar Pavithran; Narasimhan Manojkumar
Journal:  Mol Biol Rep       Date:  2021-10-20       Impact factor: 2.316

5.  Salmonella enterica Serovar Diversity, Distribution, and Prevalence in Public-Access Waters from a Central California Coastal Leafy Green-Growing Region from 2011 to 2016.

Authors:  Lisa Gorski; Anita S Liang; Samarpita Walker; Diana Carychao; Ashley Aviles Noriega; Robert E Mandrell; Michael B Cooley
Journal:  Appl Environ Microbiol       Date:  2021-12-15       Impact factor: 5.005

6.  Human infective potential of Cryptosporidium spp., Giardia duodenalis and Enterocytozoon bieneusi in urban wastewater treatment plant effluents.

Authors:  Jiawen Ma; Yaoyu Feng; Yue Hu; Eric N Villegas; Lihua Xiao
Journal:  J Water Health       Date:  2016-06       Impact factor: 1.744

7.  Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water.

Authors:  Daniel L Weller; Tanzy M T Love; Martin Wiedmann
Journal:  Front Artif Intell       Date:  2021-05-14

8.  Seasonal persistence of faecal indicator organisms in soil following dairy slurry application to land by surface broadcasting and shallow injection.

Authors:  Christopher J Hodgson; David M Oliver; Robert D Fish; Nicholas M Bulmer; A Louise Heathwaite; Michael Winter; David R Chadwick
Journal:  J Environ Manage       Date:  2016-09-04       Impact factor: 6.789

9.  Occurrence, characterization, and potential predictors of verotoxigenic Escherichia coli, Listeria monocytogenes, and Salmonella in surface water used for produce irrigation in the Lower Mainland of British Columbia, Canada.

Authors:  Justin Falardeau; Roger P Johnson; Franco Pagotto; Siyun Wang
Journal:  PLoS One       Date:  2017-09-27       Impact factor: 3.240

10.  Microbial quality of agricultural water in Central Florida.

Authors:  Zeynal Topalcengiz; Laura K Strawn; Michelle D Danyluk
Journal:  PLoS One       Date:  2017-04-11       Impact factor: 3.240

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