Concordance in molecular methods for detection of antimicrobial resistance: A cross sectional study of the influent to a wastewater plant DOI Creative Commons
Kezia Drane, Roger Huerlimann, Rhondda Jones

et al.

Journal of Microbiological Methods, Journal Year: 2024, Volume and Issue: 228, P. 107069 - 107069

Published: Nov. 17, 2024

Methods that are used to characterise microbiomes and antimicrobial resistance genes (ARGs) in wastewater not standardised. We shotgun metagenomic sequencing (SM-Seq), RNA (RNA-seq) targeted qPCR compare microbial ARG diversity the influent a municipal treatment plant Australia. ARGs were annotated with CARD-RGI MEGARes databases, bacterial was characterised by 16S rRNA gene SM-Seq, species annotation SILVA/GreenGenes databases or Kraken2 NCBI nucleotide database respectively. CARD identified evenly distributed profiles but detected richer array of (richness = 475 vs 320). Qualitatively, encoding for aminoglycoside, macrolide-lincosamide-streptogramin multidrug most abundant all examined databases. RNA-seq only 32 % there concordance qualitative identification macrolide-lincosamide, phenicol, sulfonamide SM-Seq RNA-seq. confirmed detection some ARGs, including OXA, VEB EREB, influent. For bacteria, equally effective population profiling at phyla class level. However, significantly higher richness 15,000 3750). These results demonstrate sufficient surveillance wastewater. more precise quantification however, presented better resolution. The functionality confirmed, general agreement on putative phenotypic profile observed between RNA-Seq SM-Seq.

Language: Английский

Wastewater surveillance of antibiotic resistance and class 1 integron-integrase genes: Potential impact of wastewater characteristics on genes profile DOI Creative Commons
Zahra Shamsizadeh, Mahnaz Nikaeen, Farzaneh Mohammadi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29601 - e29601

Published: April 30, 2024

Antibiotic resistance (AR) is a major global health concern, but current surveillance efforts primarily focus on healthcare settings, leaving lack of understanding about AR across all sectors the One Health approach. To bridge this gap, wastewater provides cost-effective and efficient method for monitoring within population. In study, we implemented program by effluent from two large-scale municipal treatment plants situated in Isfahan, central region Iran. These covered distinct catchment regions served combined population million residents. Furthermore, effect physicochemical microbial characteristics including biological oxygen demand (BOD), chemical (COD), total suspended solids (TSS), temperature, coliforms

Language: Английский

Citations

0
Comparative Efficacy of Anaerobic Digestion Systems in Removing Antimicrobial Resistance Genes from Swine Wastewater DOI
Da Sun, Xiaomin Shi, Yingbo Shen

et al.

Published: Jan. 1, 2024

Wastewater from intensive farms serves as a reservoir of antimicrobial resistance genes (ARGs). Anaerobic digestion (AD) is commonly used to treat livestock farm wastewaters, and their efficacy in removing ARGs has been widely explored. However, comparative study, including the four principal AD types – up-flow anaerobic sludge blanket (UASB), continuous stirred tank reactor (CSTR), buried biogas digester (BBD), septic (SPT) regarding ARG removal efficiencies influencing factors lacking. We employed metagenomic sequencing, ultra-performance liquid chromatography-tandem mass spectrometry atomic absorption spectrometry/atomic fluorescence spectrophotometry investigate profiles ARGs, microbial communities, mobile genetic elements (MGEs), antibiotic residues heavy metals 19 swine with these systems. UASB CSTR showed better compared BBD SPT, rates 67.43% 56.62% versus 20.06% 33.42%, respectively. Bacteria genera Acinetobacter, Escherichia, Pseudomonas Streptococcus were primary hosts comprising over 65% total abundance influent samples. systems demonstrated superior for both MGEs residues, achieving 44.15% 69.50% MGEs, 100% 90.40% Partial least squares path model (PLS-PM) that bacterial had notable direct impacts on profiles, effects -1.62, 1.14, 1.01, respectively, which key driving variation efficiency among Moreover, PLS-PM correlation analysis revealed might contribute through horizontal gene transfer. Collectively, communities remarkable eliminating therefore advocating widespread adoption two farms.

Language: Английский

Citations

0
Characterization of Microbiome, Resistome, Mobilome, and Virulome in Anoxic and Oxic Wastewater Treatment Processes in Slovakia and Taiwan DOI Creative Commons
Wei-Yu Chen,

C. Lee,

Jelena Pavlović

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38723 - e38723

Published: Sept. 30, 2024

Language: Английский

Citations

0
Antibiotic resistance and resistome risks of inhalable bioaerosols at aeration tank of a full-scale wastewater treatment plant DOI
Yang Tang, Xuyi Wang, How Yong Ng

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136253 - 136253

Published: Oct. 22, 2024

Language: Английский

Citations

0
Concordance in molecular methods for detection of antimicrobial resistance: A cross sectional study of the influent to a wastewater plant DOI Creative Commons
Kezia Drane, Roger Huerlimann, Rhondda Jones

et al.

Journal of Microbiological Methods, Journal Year: 2024, Volume and Issue: 228, P. 107069 - 107069

Published: Nov. 17, 2024

Methods that are used to characterise microbiomes and antimicrobial resistance genes (ARGs) in wastewater not standardised. We shotgun metagenomic sequencing (SM-Seq), RNA (RNA-seq) targeted qPCR compare microbial ARG diversity the influent a municipal treatment plant Australia. ARGs were annotated with CARD-RGI MEGARes databases, bacterial was characterised by 16S rRNA gene SM-Seq, species annotation SILVA/GreenGenes databases or Kraken2 NCBI nucleotide database respectively. CARD identified evenly distributed profiles but detected richer array of (richness = 475 vs 320). Qualitatively, encoding for aminoglycoside, macrolide-lincosamide-streptogramin multidrug most abundant all examined databases. RNA-seq only 32 % there concordance qualitative identification macrolide-lincosamide, phenicol, sulfonamide SM-Seq RNA-seq. confirmed detection some ARGs, including OXA, VEB EREB, influent. For bacteria, equally effective population profiling at phyla class level. However, significantly higher richness 15,000 3750). These results demonstrate sufficient surveillance wastewater. more precise quantification however, presented better resolution. The functionality confirmed, general agreement on putative phenotypic profile observed between RNA-Seq SM-Seq.

Language: Английский

Citations

0