Toggle Main Menu Toggle Search

Open Access padlockePrints

Exploring resistomes and microbiomes in pilot-scale microalgae-bacteria wastewater treatment systems for use in low-resource settings

Lookup NU author(s): Marcos Quintela-Baluja, Professor David GrahamORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2023 Elsevier B.V.Antibiotic resistance genes (ARGs) released into the environment are an emerging human and environmental health concern, including ARGs spread in wastewater treatment effluents. In low-to-middle income countries (LMICs), an alternate wastewater treatment option instead of conventional systems are low-energy, high-rate algal ponds (HRAP) that use microalgae-bacteria aggregates (MABA) for waste degradation. Here we studied the robustness of ARG removal in MABA-based pilot-scale outdoor systems for 140 days of continuous operation. The HRAP system successfully removed 73 to 88 % chemical oxygen demand and up to 97.4 % ammonia, with aggregate size increasing over operating time. Fourteen ARG classes were identified in the HRAP influent, MABA, and effluent using metagenomics, with the HRAP process reducing total ARG abundances by up to 5-fold from influent to effluent. Parallel qPCR analyses showed the HRAP system significantly reduced exemplar ARGs (p < 0.05), with 1.2 to 4.9, 2.7 to 6.3, 0 to 1.5, and 1.2 to 4.8 log-removals for sul1, tetQ, blaKPC, and intl1 genes, respectively. Sequencing of influent, effluent and MABAs samples showed associated microbial communities differed significantly, with influent communities by Enterobacteriales (clinically relevant ARGs carrying bacteria), which were less evident in MABA and effluent. In this sense, such bacteria might be excluded from MABA due to their good settling properties and the presence of antimicrobial peptides. Microalgae-bacteria treatment systems steadily reduced ARGs from wastewater during operation time, using sunlight as the energetic driver, making them ideal for use in LMIC wastewater treatment applications.


Publication metadata

Author(s): Ovis-Sanchez JO, Perera-Perez VD, Buitron G, Quintela-Baluja M, Graham DW, Morales-Espinosa R, Carrillo-Reyes J

Publication type: Article

Publication status: Published

Journal: Science of the Total Environment

Year: 2023

Volume: 882

Print publication date: 15/07/2023

Online publication date: 18/04/2023

Acceptance date: 13/04/2023

Date deposited: 15/05/2023

ISSN (print): 0048-9697

ISSN (electronic): 1879-1026

Publisher: Elsevier B.V.

URL: https://doi.org/10.1016/j.scitotenv.2023.163545

DOI: 10.1016/j.scitotenv.2023.163545

PubMed id: 37080313


Altmetrics

Altmetrics provided by Altmetric


Share