Occurrence and distribution of microbial pollutants in coastal areas of the Adriatic Sea influenced by river discharge.
Adriatic sea
Coastal rivers
Metabarcoding
Microbial pollution
Source tracking
Journal
Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476
Informations de publication
Date de publication:
15 Sep 2021
15 Sep 2021
Historique:
received:
21
01
2021
revised:
21
06
2021
accepted:
27
06
2021
entrez:
12
8
2021
pubmed:
13
8
2021
medline:
14
8
2021
Statut:
ppublish
Résumé
The transport of a variety of pollutants from agricultural, industrial and urbanised areas makes rivers major contributors to the contamination of coastal marine environments. Too little is known of their role in carrying pathogens to the coast. We used DNA-based metabarcoding data to describe the microbial community composition in seawater and sediment collected in front of the estuary of the Tronto, the Chienti and the Esino, three Italian rivers with different pollution levels that empty into the north-central Adriatic Sea, and to detect and measure within these communities the relative abundance of microbial pollutants, including traditional faecal indicators and alternative faecal and sewage-associated pollutants. We then applied the FORENSIC algorithm to distinguish human from non-human sources of microbial pollution and FAPROTAX to map prokaryotic clades to established metabolic or other ecologically relevant functions. Finally, we searched the dataset for other common pathogenic taxa. Seawater and sediment contained numerous potentially pathogenic bacteria, mainly faecal and sewage-associated. The samples collected in front of the Tronto estuary showed the highest level of contamination, likely sewage-associated. The pathogenic signature showed a weak but positive correlation with some nutrients and strong correlations with some polycyclic aromatic hydrocarbons. This study confirms that rivers transport pathogenic bacteria to the coastal sea and highlights the value of expanding the use of HTS data, source tracking and functional identification tools to detect microbial pollutants and identify their sources with a view to gaining a better understanding of the pathways of sewage-associated discharges to the sea.
Identifiants
pubmed: 34380232
pii: S0269-7491(21)01254-9
doi: 10.1016/j.envpol.2021.117672
pii:
doi:
Substances chimiques
Environmental Pollutants
0
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
117672Informations de copyright
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