Impact of pollution sources of microplastics and associated microbial populations in surface water
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Abstract
Microplastics (MPs) are ubiquitous environmental pollutants of global concern, presenting a
major threat to aquatic ecosystems. The study examined the effects of potential pollution
sources of MPs and associated microbial communities in riverine environments, including
wastewater treatment plants (WWTPs), agricultural areas (AA), urban areas (UA), and
industrial discharge (IA). The study sites were selected along the uMsunduzi River in
KwaZulu-Natal, and the sampling was conducted in two seasons (summer and winter).
Morphological and chemical characterization of MPs was performed using microscopy, ATRFTIR, and Pyro-GC/MS analysis. Shotgun metagenomics was used to analyze the microbial
community. The potential health risks associated with selected pathogens in the biofilm were
also assessed using Quantitative Microbial Risk Assessment (QMRA).
Microplastics were detected in abundance from all four sites with concentrations in the IA
being the highest (69 particles/L), followed by the WWTP (51 particles/L), the UA (49
particles/L), and the AA (39 particles/L). Additionally, sediment samples showed higher MP
particles compared to the surface water. The most common types of MP detected were fibers,
followed by pellets and fragments for both surface water and sediment samples. Furthermore,
the key polymers detected via chemical characterization were polyethylene (PE), Polyethylene
terephthalate (PET), polypropylene (PP), polystyrene (PS), and Polyvinyl Alcohol (PVA)
across all sites with varying dominance. The PS, PET, and PE were predominant at the UA,
while the WWTP and IA exhibited a variety of polymers, including PE, PP, PET, and PS. The
AA site showed the presence of PE, PP, PS, PET, and PVA.
Metagenomic data demonstrated a significant microbial diversity (p = 0.0012) and composition
(PERMANOVA F = 16.386; R2 = 0.15, p < 0.001) in different sites (UA, WWTP, AA, and
IA), and habitat (surface water and plastisphere). The plastisphere harbored a distinct microbial community compared to surface water. At the phylum level, Bacteroidetes were significantly
higher in surface water, whereas α- and β-Proteobacteria dominated on the plastic surface (p
< 0.05). In regard to the different sites, WWTP had the most different taxa (5), followed by UA
(3), with AA and IA each having only 1 unique taxon. The distance decay model showed that
microbial communities in the plastisphere and surrounding environments are significantly
positively associated with the sources of pollution (UA: R² = 0.83, p = 0.015; WWTP: R² =
0.88, p = 0.0072; AA: R² = 0.85, p = 0.0075; IA: R² = 0.95, p = 0.0011).
The study also revealed the presence of various antimicrobial resistant genes (ARGs) in both
surrounding surface water and plastisphere, with MP surfaces showing higher ARGs than
surrounding surface water. For instance, the plastisphere harbored 19 ARGs compared to 9 in
surface water. The WWTP showed diverse ARGs, including the widely reported ARGs
conferring resistance to tetracycline, fluoroquinolone, and aminoglycoside. The study also
identified 17 pathogenic microbial species across different sites, with Acinetobacter
baumannii being the most dominant. Furthermore, common pathogens such as Escherichia
coli, Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae were
detected across all sites, seasons, and habitats. The microbial risk assessment based on two
dominant pathogens (Pseudomonas aeruginosa and Salmonella enterica) revealed that the
risk of infection varied across different pollution sources and seasons. Notably, the highest
infection risk associated with selected pathogens was found in IA and WWTP-impacted sites
which is in accordance with the total number of MPs detected indicating and increase in MPs
will have a significant impact on the associated health risks. Results of this study indicate that
different pollution sources significantly influence MP abundance and types, as well as the
structure of microbial communities, which may ultimately pose a threat to human health.
Description
Submitted in fulfilment of the academic requirement for the degree of Masters in Applied Sciences: Biotechnology, Durban University of Technology, Durban, South Africa, 2024.
Citation
DOI
https://doi.org/10.51415/10321/6237
