Share:
Peer-Reviewed Publication
FEMS Microbiol Ecol2024;100(6)May 14, 2024Journal Article

Unbalanced predatory communities and a lack of microbial degraders characterize the microbiota of a highly sewage-polluted Eastern-Mediterranean stream.

Yossi Cohen1,2, Julia Johnke3, Alfred Abed-Rabbo4, Zohar Pasternak1,5, Antonis Chatzinotas6,7,8, Edouard Jurkevitch1
1Department of Plant Pathology and Microbiology, Institute of Environmental Sciences, Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, 76100, Israel.
2Presently at DayTwo, Rehovot, Israel.
3Evolutionary Ecology and Genetics, Zoological Institute, University of Kiel, Kiel, Germany.
4Faculty of Science, Bethlehem University, Palestine.
5Presently at the Division of Identification and Forensic Science, Israel Police, National Headquarters.
6Department of Applied Microbial Ecology, Helmholtz Centre for Environmental Research - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany.
7Institute of Biology, Leipzig University, Talstrasse 33, 04103 Leipzig, Germany.
8Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany.

Abstract

Wastewater pollution of water resources takes a heavy toll on humans and on the environment. In highly polluted water bodies, self-purification is impaired, as the capacity of the riverine microbes to regenerate the ecosystem is overwhelmed. To date, information on the composition, dynamics and functions of the microbial communities in highly sewage-impacted rivers is limited, in particular in ari…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.