Hormetic effect of 17α-ethynylestradiol on activated sludge microbial community response

Synthetic estrogen analogues are among the most potent estrogenic contaminants in effluents from wastewater treatment plants. Although its effects have been well elucidated in the feminization of male fish and interference with the endocrine systems in humans, it has not been fully explored in the activated sludge (AS) microbiome, particularly EE2 (17α-ethynylestradiol). Therefore, in this study, the bacterial community shift in a 6-day laboratory-scale reactor in environmental (0, 5, 10, and 100 ng/L) and predictive elevated concentrations (5, 10, and 100 mg/L) of EE2 was investigated using culture-based and metagenomics approaches. Results showed significant changes (t-test, all p < 0.05) between initial and final physicochemical parameters (pH, DO, and EC). Although environmental concentrations showed a slight decrease in microbial counts (5.6 × 10⁶ to 4.6 × 10⁶ CFU/ml) after a 24-h incubation for the culturable approach, the predictive elevated concentrations (5 to 100 mg/L) revealed a drastic microbial counts reduction (5.6 × 10⁶ to 8 × 10² CFU/ml). The metagenomic data analysis uncovered that bacterial communities in the control sample were dominated by Proteobacteria, followed by Bacteroidetes and Firmicutes. The taxonomic classification after exposure of microbial communities in various concentrations revealed significant differences in community composition between environmental concentration (Shannon indices between 2.58 to 3.68) and predictive elevated concentrations (Shannon indices between 2.24 and 2.84; t-test, all p < 0.05). The EE2 enriched seven OTUs were Novosphingobium, Cloacibacterium, Stenotrophomonas, Enterobacteriaceae_unclassified, Stenotrophomonas, Enterobacteriaceae_unclassified and Rhodobacteraceae_unclassified. These results were supported by a dehydrogenase activity (DHA) test, which demonstrated less (about 40%) DHA in predictive elevated concentrations than in environmental concentrations. Notwithstanding, these findings suggest that EE2 may possess potent hormetic effect as evidenced by promotion of microbiome richness and dehydrogenase activity of AS in lower EE2 doses.

Human-Associated Methicillin-Resistant Staphylococcus aureus Clonal Complex 80 Isolated from Cattle and Aquatic Environments

Background: Human-associated methicillin-resistant Staphylococcus aureus (HA-MRSA) has mainly been reported in South African pig and chicken farms. The prevalence of antibiotic-resistant genes (ARGs), virulence factors (VFs), and multilocus sequence types (MLSTs) associated with HA-MRSA in cattle farms has not been reported. Consequently, this study characterised LA-MRSA and its spread from cattle farms into the environment. Method: Husbandry soil (HS), nearby river water (NRW), animal manure (AM) and animal drinking water (ADW) were collected on and around a cattle farm. Presumptive MRSA isolates were identified from these samples using CHROMagar media and genotyped as MRSA sequence types (STs), selected ARGs, and VFs, using polymerase chain reaction. An MLST-based dendrogram was generated to link the farm MRSA strains with those in a nearby river. Results: The prevalence of MRSA was 30.61% for HS, 28.57% for ADW, 22.44% for NRW, and 10.20% for AM. Isolates from HS harboured the highest number of resistant genes, with 100% for mecA, 91.66% for ermA, and 58.33% for blaZ. However, no ermC or tetM genes were detected. MRSA isolates from AM harboured the lowest number of resistant genes. Only sec and seq enterotoxins were found in all the assessed MRSA isolates. MRSA from the farm revealed six STs (ST80, ST728, ST1931, ST2030, ST3247, and ST5440); all of STs belonged to clonal complex 80 (CC80). An MLST-based dendrogram based on the concatenated sequences of MLST genes under the maximum likelihood criterion revealed four clades of amalgamated MRSA isolates from various livestock environmental matrices, including the NRW. Conclusion: The results suggest that livestock environmental matrices might be reservoirs of MRSA that could subsequently disseminate through runoff to pollute water resources. Therefore, continued surveillance of HA-MRSA in livestock environments is warranted.

The potential impact of the COVID-19 pandemic on global antimicrobial and biocide resistance: an AMR Insights global perspective

The COVID-19 pandemic presents a serious public health challenge in all countries. However, repercussions of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections on future global health are still being investigated, including the pandemic’s potential effect on the emergence and spread of global antimicrobial resistance (AMR). Critically ill COVID-19 patients may develop severe complications, which may predispose patients to infection with nosocomial bacterial and/or fungal pathogens, requiring the extensive use of antibiotics. However, antibiotics may also be inappropriately used in milder cases of COVID-19 infection. Further, concerns such as increased biocide use, antimicrobial stewardship/infection control, AMR awareness, the need for diagnostics (including rapid and point-of-care diagnostics) and the usefulness of vaccination could all be components shaping the influence of the COVID-19 pandemic. In this publication, the authors present a brief overview of the COVID-19 pandemic and associated issues that could influence the pandemic’s effect on global AMR.

Cryptosporidium species and subtypes in river water and riverbed sediment using next-generation sequencing

This study uncovered the prevalence, harboured species, and subtype diversity of Cryptosporidium species in river water and its sediment from the Apies River in South Africa. Cryptosporidium spp. concentrations in freshwater and its sediment were determined using Ziehl-Neelsen staining and quantitative Polymerase Chain Reaction (qPCR) techniques. Next-generation sequencing (NGS) targeting the 60 kDa glycoprotein (gp60) gene of Cryptosporidium spp. was performed to reveal the species, subtype families and subtypes harboured in freshwater and its sediment. Although the results revealed that water samples had a higher prevalence (30%) compared with sediment (28%), the number of observable Cryptosporidium spp. oocysts in sediment samples (ranging from 4.90 to 5.81 log₁₀ oocysts per 1 Liter) was higher than that of river water samples (ranging from 4.60 to 5.58 log₁₀ oocysts per 1 L) using Ziehl-Neelsen staining. The 18S ribosomal ribonucleic acid (rRNA) gene copy of Cryptosporidium in riverbed sediments ranged from 6.03 to 7.65 log₁₀, whereas in river water, it was found to be between 4.20 and 6.79 log₁₀. Subtyping results showed that in riverbed sediments, Cryptosporidium parvum accounted for 40.72% of sequences, followed by Cryptosporidium hominis with 23.64%, Cryptosporidium cuniculus with 7.10%, Cryptosporidium meleagridis with 4.44% and the least was Cryptosporidium wrairi with 2.59%. A considerable percentage of reads in riverbed sediment (21.25%) was not assigned to any subtype. River water samples had 45.63% of sequences assigned to C. parvum, followed by 30.32% to C. hominis, 17.99% to C. meleagridis and 5.88% to C. cuniculus. The data obtained are concerning, as Cryptosporidium spp. have intrinsic resistance to water treatment processes and low infectious doses, which can pose a risk to human health due to the various uses of water (for human consumption, leisure, and reuse).

Shared Extended-Spectrum β-Lactamase-Producing Salmonella Serovars between Agricultural and Aquatic Environments Revealed through invA Amplicon Sequencing

The presence of antibiotic-resistant Salmonella spp. in the environment is of great public health interest, worldwide. Furthermore, its extended-spectrum β-lactamase (ESBL)-producing strains constitute an emerging global health concern due to their limited treatment options in hospital. Therefore, this study aimed at characterising and tracking nonresistant and ESBL-producing Salmonella spp. from agricultural settings to nearby water sources highlighting their antibiotic resistance genes (ARG) and virulence factor (VF) distribution using a combination of both culture-dependent and independent methods. Furthermore, this study investigated the diversity and shared serovars among sampled matrices using amplicon sequencing of the invasion gene A (invA) of Salmonella spp. The results showed that soil had the highest prevalence of Salmonella spp. (62.5%, 65/104) and ESBL-producing Salmonella (34.6%, 36/104). For typed ARG, the most commonly detected gene was blaOXA with 75% (30/40), followed by blaCTX-M 67.5% (27/40),blaTEM 40% (16/40) and sul1 30% (12/40) gene; blaSHV gene was not detected in isolated ESBL-producing Salmonella spp. For VF, the most detected gene was invA (96.9%, 38/40), followed by spaM (17.5%, 7/40), spiC (40%, 16/40), orfL (32.5%, 13/40), misL 32.5% (13/40) and pipD 32.5 (13/40). For diversity analysis, soil, manure, irrigation water and nearby freshwater revealed 81, 68, 12 and 9 serovars, respectively. Soil, manure, irrigation water and freshwater stream samples shared five serovars, which indicated circulation of ESBL-producing Salmonella spp. within the agricultural environment and nearby water sources. Soil is therefore identified as one of the major reservoirs of ESBL-producing Salmonella spp. It is concluded that agricultural environment contamination may have a direct relationship with the presence of antibiotic-producing Salmonella in freshwater streams.

Multilocus-based phylogenetic analysis of extended-spectrum beta-lactamase Escherichia coli O157:H7 uncovers related strains between agriculture and nearby water sources

This study aimed to uncover related strains of extended-spectrum beta-lactamase Escherichia coli O157:H7 between agricultural matrices (soil, manure and irrigation water) and nearby water sources using multilocus-based phylogenetic analysis. Resistant and nonresistant E. coli O157:H7 were isolated, identified and characterised using standard microbiological methods. The results showed that soil samples had a high prevalence of E. coli O157:H7 (31.73%) and ESBL-producing E. coli O157:H7 (22.11%). Multilocus sequencing typing (MLST) analysis revealed that all ESBL-producing E. coli O157:H7 were identified as ST11. Phylogenetic analysis of E. coli O157:H7 indicated that irrigation water might be a reservoir for E. coli O157:H7. For antibiotic-resistant genes (ARG), the most common was bla_TEM in 85% (n = 34), followed by bla_OXA in 70% (n = 28), bla_NDM and sul1 30% (n = 12) and lastly mcr-1, which was only found in one soil isolate. The results showed that ESBL-producing E. coli O157:H7 isolates were intermixed in three clades, indicating close relatedness between isolated strains from different matrices.

Environmental resistome risks of wastewaters and aquatic environments deciphered by shotgun metagenomic assembly

In this paper, we deciphered the core resistome disseminating from hospital wastewater to the aquatic environment by characterising the resistome, plasmidome, mobilome and virulome using metagenomic analysis. This study also elucidated different environmental resistome risks using shotgun-metagenomic assembly. The results showed that clinically relevant taxa were found in assessed matrices (Salmonella spp., Acinetobacter spp, Escherichia-Shigella spp., Pseudomonas spp., Staphylococcus spp. and Vibrio spp.). For the plasmidome, we found 249 core plasmidome sequences that were shared among all assessed matrices. The core mobilome of 2424 mobile genetic elements shared among all assessed matrices was found. Regarding the virulome, we found 148 core virulence factors shared among all assessed samples, and the core virulome content was consistently shared across the most abundant bacterial genera. Although influent of wastewater showed considerable higher relative bacterial abundance (P = 0.008), hospital wastewater showed significant higher environmental resistome risk scores against all other assessed matrices, with an average of 46.34% (P = 0.001). These results suggest hospital wastewater, effluent and sewage sludge should be subjected to stringent mitigating measures to minimise such dissemination.

Comparative genomics of vancomycin-resistant Enterococcus spp. revealed common resistome determinants from hospital wastewater to aquatic environments

The rise of vancomycin-resistant Enterococcus spp. (VRE) has led to treatment challenges in hospital settings worldwide. Hospital wastewater (HW) might disseminate this threat to the aquatic environment. Thus, this study elucidates the VRE resistance quotient (RQ) of different environmental matrixes in wastewater and compares genomic determinants of VRE strains recovered from HW to water resources. Presumptive Enterococcus spp. and VRE were quantified and isolated using standard microbiological procedures. Fourteen VRE genomes were then sequenced using an Illumina HiSeq X™ Ten platform. Subsequently, VRE genomes were compared based on antibiotic resistance genes, plasmids, bacteriophages, insertion sequences, transposons, virulence and pathogenicity. Wastewater effluent showed the highest RQ among all sampled matrixes. The phylogeny of vancomycin-resistant E. faecalis (VREfs) and E. faecium (VREfm) revealed a tree structure based on their respective sequence type. A comparative genomic analysis of 14 genomes highlighted regions encoding phage protein, phage holin, phage integrase, integrase and transposase on both query genomes and the reference genome. Acquired resistance to vancomycin was conferred by vanA, vanN, vanL, vanG and the intrinsic resistance vanC operons. Plasmids were dominated by the presence of conserved areas of the replication initiating genes (rep). The Tn3-like and Tn917 transposons were present in all erythromycin-carrying erm(B) isolated VRE genomes. All VRE genomes expect one were putatively predicted as human pathogens with varying degrees of virulence. The presence of such resistant bacteria in African water resource is of great public health concern. It is, therefore, recommended that these bacteria be tracked and characterised from different environments to contribute to improved epidemiological containment action.

Tracking the environmental dissemination of carbapenem-resistant Klebsiella pneumoniae using whole genome sequencing

The emergence and dissemination of infections caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) are of great concern worldwide, as there are limited options for their treatment. Thus, in this study, whole-genome sequencing (WGS) was applied to assess CRKP distribution and dissemination from hospital settings to the aquatic environment in order to identify the extent of the problem. Samples were collected from hospital wastewaters and receiving water bodies. Susceptible K. pneumoniae and CRKP were enumerated and isolated using standard methods. Seventeen CRKP were DNA-sequenced using an Illumina HiSeq X™ platform. De novo assembly and annotation were performed using SPAdes and RAST, respectively. The study analysed antibiotic resistance traits (antibiotic resistant genes, mobile genetic elements, and virulence genes) in CRKP isolates. Although influent of wastewater harboured the highest CRKP, wastewater treatment plants were efficient in reducing the threat. In terms of resistance per matrix, benthic sediment proved to harbour more CRKP (22.88%) versus susceptible K. pneumoniae, as revealed by their resistant quotient analysis, while effluent of wastewaters (4.21%) and water bodies (4.64%) had the lowest CRKP loads. The disseminating CRKP consisted of six sequence types (ST) - ST307 (n = 7), a novel ST3559 (n = 5), ST15 (n = 2), and one isolate of each of ST39, 152 and 298. All CRKP isolates harboured β-lactams (bla_CTX-M-15 and bla_OXA-1), quinolone (oqxA and oqxB) and fosfomycin (fosA) resistance genes as well as virulence genes. This study highlights the dissemination of 'high' importance and novel ST CRKP from hospital wastewater to waterbodies. This is concerning, particularly in the African context where a sizable number of people still rely on direct water resources for household use, including drinking. Further research is needed to systematically track the occurrence and distribution of these bacteria so as to mitigate their threat.

Genome sequence of carbapenem-resistant Citrobacter koseri carrying blaOXA-181 isolated from sewage sludge

OBJECTIVES

This study reported the resistome content of sewage sludge-isolated carbapenem-resistant Citrobacter koseri (C. koseri) carrying bla_OXA-181. It also provided a general phylogenomic analysis highlighting antibiotic resistance genes (ARGs), plasmids and pathogenicity of C. koseri genomes.

METHODS

The carbapenem-resistantC. koseri AS1 strain was isolated from sewage sludge on CHROMagar™ mSuperCARBA™ media. Whole genome sequencing of C. koseri AS1 was performed using an HiSeq X™ Ten instrument. Additional C. koseri genomes were downloaded from National Center for Biotechnology Information (NCBI). Phylogenomic analysis was established through CSI Phylogeny. ARGs, plasmids and pathogenicity were identified using ResFinder 3.1, PlasmidFinder 2.0 and PathogenFinder 1.1, respectively.

RESULTS

The phylogenomic tree indicated a polyclonal pattern ofC. koseri genomes. Resistome analysis of C. koseri AS1 revealed β-lactam resistance genes (bla_MAL-1 and bla_OXA-181) as well as a fosfomycin resistance gene (fosA7). Three plasmids (ColKP3, ColRNAI and IncX30) were identified in the C. koseri AS1 genome. In addition, 25 ARGs were found in downloaded genomes. Of these, clinically significant ARGs such as bla_KPC-2 and bla_OXA-48 were found in two and four genomes, respectively. Assessment of the genomes using PathogenFinder revealed all genomes as putative human pathogens.

CONCLUSIONS

It is believed that noC. koseri genome has been reported to carry bla_OXA-181; therefore, C. koseri AS1 is the first of its kind. This study also highlighted the resistome contents of C. koseri genomes.

Systematic review in South Africa reveals antibiotic resistance genes shared between clinical and environmental settings

A systematic review was conducted to determine the distribution and prevalence of antibiotic-resistant bacteria (ARB), antimicrobial-resistant genes (ARGs), and antimicrobial-resistant gene determinants (ARGDs) in clinical, environmental, and farm settings and to identify key knowledge gaps in a bid to contain their spread. Fifty-three articles were included. The prevalence of a wide range of antimicrobial-resistant bacteria and their genes was reviewed. Based on the studies reviewed in this systematic review, mutation was found to be the main genetic element investigated. All settings shared 39 ARGs and ARGDs. Despite the fact that ARGs found in clinical settings are present in the environment, in reviewed articles only 12 were found to be shared between environmental and clinical settings; the inclusion of farm settings with these two settings increased this figure to 32. Data extracted from this review revealed farm settings to be one of the main contributors of antibiotic resistance in healthcare settings. ARB, ARGs, and ARGDs were found to be ubiquitous in all settings examined.

Genetic relatedness of faecal coliforms and enterococci bacteria isolated from water and sediments of the Apies River, Gauteng, South Africa

To date, the microbiological quality of river sediments and its impact on water resources are not included in the water quality monitoring assessment. Therefore, the aim of this study was to establish genetic relatedness between faecal coliforms and enterococci isolated from the river water and riverbed sediments of Apies River to better understand the genetic similarity of microorganisms between the sediment and water phases. Indicator bacteria were subjected to a molecular study, which consisted of PCR amplification and sequence analysis of the 16S rRNA and 23S rRNA gene using specific primers for faecal coliforms and enterococci, respectively. Results revealed that the Apies River had high faecal pollution levels with enterococci showing low to moderate correlation coefficient (r² values ranged from 0.2605 to 0.7499) compared to the faecal coliforms which showed zero to low correlation (r² values ranged from 0.0027 to 0.1407) indicating that enterococci may be better indicator than faecal coliforms for detecting faecal contamination in riverbed sediments. The phylogenetic tree of faecal coliforms revealed a 98% homology among their nucleotide sequences confirming the close genetic relatedness between river water and riverbed sediment isolates. The phylogenetic tree of the enterococci showed that Enterococcus faecalis and Enterococcus faecium are the predominant species found in both river water and riverbed sediments with bootstrap values of ≥99%. A high degree of genetic relatedness between sediment and water isolates indicated a possible common ancestry and transmission pathway. We recommend the microbial monitoring of riverbed sediments as it harbours more diverse microbial community and once resuspended may cause health and environmental problems.