Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.4
Journals
Water
Special Issues
Research on Microbiological Water Quality
share announcement

Research on Microbiological Water Quality

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3996

Special Issue Editor

Dr. Stefania Marcheggiani

E-Mail Website
Guest Editor
Istituto Superiore Di Sanita, Rome, Italy
Interests: environment and health; molecular microbiology; aquatic ecosystem; early warning system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Aquatic ecosystems worldwide are facing several simultaneous pressures resulting from anthropic activities and global and socio-economic environmental changes. This gives rise to "emerging problems" for environment, animal, and human health.  Microbiological, biological, physical, and chemical contaminates are released into the aquatic ecosystem and their preventive identification is of paramount importance for safeguarding human health. In this regard, emerging and re-emerging epidemiological strains and the related topics are of great importance, including environmental spread, multidrug-resistant bacteria, changes in the environmental microbiome, environmental fate, and plastic as a new vector of pathogens. Detection of these contaminants in aquatic ecosystems is important to reduce the risk of them entering the food chain. In the last decade, the One Health approach has prescribed a univocal prevention response to emerging zoonotic disease outbreaks that can cause pandemics. 

This Special Issue will bring together scientific research focused on monitoring strategies, models, scenarios, methods, and tools developed for the detection of emerging and re-emerging water-related microorganisms in order to encourage discussion on how to address research gaps and eventually formulate a roadmap concerning this critical issue for aquatic ecosystem and human health.

Dr. Stefania Marcheggiani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pathogens
  • aquatic ecosystem
  • monitoring
  • novel technologies
  • climatic change
  • water related disease
  • prevention measures
  • human health
  • one health

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

12 pages, 2421 KiB  
Article
Application of Coagulation and Foam Concentration Method to Quantify Waterborne Pathogens in River Water Samples
by Yoshihiro Suzuki, Atsushi Jikumaru, Soichiro Tamai, Kei Nukazawa, Yoshifumi Masago and Satoshi Ishii
Water 2022, 14(22), 3642; https://doi.org/10.3390/w14223642 - 11 Nov 2022
Viewed by 1399
Abstract
One of the major challenges in detecting waterborne pathogens is the low concentration of the target bacteria in water. In this study, we applied the coagulation and foam concentration method to obtain DNA from water samples collected from upstream, near an estuary. The [...] Read more.
One of the major challenges in detecting waterborne pathogens is the low concentration of the target bacteria in water. In this study, we applied the coagulation and foam concentration method to obtain DNA from water samples collected from upstream, near an estuary. The DNA samples were analyzed using 16S rRNA gene sequencing to clarify the microbial community shifts and to identify potentially pathogenic bacteria. Bacterial communities changed as the river flowed downstream, most likely influenced by land use and human activities such as the discharge of wastewater-treatment plant effluent. Based on the 16S rRNA gene amplicon sequencing, potentially pathogenic bacteria were detected with greater than 0.1% of their relative abundances. Among these, Yersinia ruckeri and Pseudomonas alcaligenes were widely detected in the river water. In addition, digital PCR (dPCR) was used to quantify major waterborne pathogens. Shiga toxin-producing Escherichia coli (STEC), Shigella spp., and Campylobacter jejuni were all below the limit of detection. In contrast, general E. coli, which has the beta-D-glucuronidase gene (uidA) were detected by dPCR (copies/100 mL) at similar levels to those measured using the culture-based method (as colony forming units/100 mL). These results suggest that the coagulation and foam concentration method is useful for concentrating microbes and obtaining DNA from river water samples for environmental monitoring. Full article
(This article belongs to the Special Issue Research on Microbiological Water Quality)
►▼ Show Figures

Figure 1

10 pages, 1750 KiB  
Article
Depth-Dependent Concentrations of E. coli in Agricultural Irrigation Ponds
by Matthew D. Stocker, Jaclyn E. Smith and Yakov A. Pachepsky
Water 2022, 14(14), 2276; https://doi.org/10.3390/w14142276 - 21 Jul 2022
Cited by 2 | Viewed by 1603
Abstract
Microbial water quality surveys of irrigation sources are conducted by measuring the concentrations of generic E. coli. The objective of this study was to evaluate the dependence of E. coli concentrations on the water sampling depth at different times of the day. [...] Read more.
Microbial water quality surveys of irrigation sources are conducted by measuring the concentrations of generic E. coli. The objective of this study was to evaluate the dependence of E. coli concentrations on the water sampling depth at different times of the day. Three irrigation ponds were sampled in Maryland eleven times during the growing seasons of 2019–2021. Water was collected in replicates at the surface (0 cm) and then in 50 cm depth intervals at 9:00, 12:00, and 15:00. Ponds 1 and 2 were sampled to 150 cm, whereas Pond 3 was only sampled to the 50 cm depth due to it having a shallower average depth. An analysis of variance test revealed that E. coli concentrations significantly differed by depth in only one pond (p > 0.05) but on multiple dates. Additionally, the sampling time of day was significant at only two of eleven of the observation dates across ponds; in those cases, the average concentrations across the pond increased in the order of 9:00 > 12:00 > 15:00. This study shows that E. coli concentrations measured in irrigation ponds may substantially differ depending on the sampling depth and time of day, and that these factors should be accounted for in the monitoring design. Full article
(This article belongs to the Special Issue Research on Microbiological Water Quality)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop