Biology subjects

Venter, S. N.

Publications and source records attributed to Venter, S. N..

7 recordsLinked to original sources

bioRxiv2025

Metagenomics reveal allopatric speciation and higher connectivity among coastal vs. inland hypersaline lakes and solar salterns

Hypersaline environments, due to their discrete and geographically isolated nature, constitute ideal systems for studying evolutionary patterns and microbial diversification, and especially here when contrasting coastal with inland systems. Based on metagenomic comparisons of 25 hypersaline sites across 11 countries, we explored the influence of environmental factors, ionic composition, and geographic distance on their microbial community structures and taxa diversification. Our results revealed that microbial communities from coastal environments were taxonomically and functionally more similar to each other than to those from inland sites. A distance-decay relationship in the genetic relatedness, significantly more pronounced for the coastal sites, was observed among reconstructed metagenome-assembled genomes (MAGs), clearer at distances below 400 km, but still detectable across global scales up to 20,000 km. The 484 MAGs recovered, representing 284 distinct species, revealed a striking global ubiquity, with 62.5% of the species showed cosmopolitanism as were detected across multiple sites. The higher taxonomic and genetic similarity of coastal environments over the inland sites seems to reflect an environmental connection that may be related to the ocean current dynamics. Most cosmopolitan species showed clear allopatric differentiation, although few cases of a single globally dominant genomovar (average nucleotide identity, ANI > 99.8%) were also observed, especially for some Haloquadratum species. The findings suggest that coastal hypersaline systems are loosely constrained by geographic isolation, with clear signals of allopatric speciation at the mesoscale (tenths to hundreds of kilometers) that become blurrier at larger scales.

microbiology↗

bioRxiv2024

Cryptosporidium oocysts and Giardia cysts at two South African wastewater treatment plants

Cryptosporidium and Giardia are one of the most prominent parasitic protozoans found in wastewater treated by wastewater treatment plants (WWTPs). They cause Cryptosporidiosis and Giardiasis respectively, which can be fatal in immuno-compromised individuals. Thus, their removal by WWTPs is essential. This study aimed at investigating the prevalence of Crytposporium and Giardia through treatment processes at two South African wastewater treatment plants and assessing the efficiency of the WWTPs in removing them. A total of 162 samples (54 raw influents, 36 primary treated effluents, 36 secondary treated effluents and 36 final treated effluents) were collected from two South African WWTPs over a period of one year. Results obtained from the study show that Cryptosporidium was detected in 98% (159/162) of the samples collected, whilst Giardia was detected in 99% (160/162) of the samples collected from both wastewater treatment plants. Both Crytposporium and Giardia were detected in 100% (n=54) of raw influent samples. The same result was obtained in primary treated effluent, where both Cryptosporidium and Giardia was detected in 100% (n=36) of the samples collected. In secondary treated effluent, 36 samples were collected and Cryptosporidium was detected in 94% of the samples, whereas Giardia was detected in 100% of the samples. In the final treated effluent samples, both Cryptosporidium and Giardia where detected 97% (n=36) of the samples collected. Detection of Cryptosporidium and Giardia in most of the wastewater treatment stages indicated these parasites are prevalent in the two WWTPs. Although the two WWTPs showed high removal of the two parasites in wastewater, their presence in the final treated effluent indicated the inefficiency of treatment processes in their removal. This highlights the potential of these WWTPs in contaminating receiving water sources. IMPORTANCE OF THE STUDYThis study will specifically evaluate the removal of Cryptosporidium oocysts and Giardia cysts by two South African WWTPs and will estimate their ability of removing them. The study will also attempt to give insight into the potential and extend of treated effluent in polluting surface water resources with respect to Cryptosporidium and Giardia. Identification of the potential sources of the pollution is one of the significant parts in resolving this problem. Hence the finding of the study are very important in an endeavour to eliminate pollution of water source.

microbiology↗

bioRxiv2024

Microbial species exist and are maintained by ecological cohesiveness coupled to high homologous recombination.

Recent analyses of metagenomes and genomes have revealed that microbial communities are predominantly composed of persistent, sequence-discrete species and intraspecies units (genomovars). To advance the species concept the underlying genetic or ecological mechanisms that maintain these discrete units need to be elucidated. By analyzing closely related isolate genomes from the same or related samples we show that high ecological cohesiveness coupled to frequent-enough and unbiased (i.e., not selection driven) horizontal gene flow, mediated by homologous recombination, often underlie these diversity patterns. Ecological cohesiveness was inferred based on higher similarity in abundance patterns of genomes of the same vs. different units, while recombination frequency was shown to have two times or more impact on sequence evolution than point mutation. Therefore, our results represent a departure compared to previous models of microbial speciation that invoke either ecology or selection-driven recombination, but not their synergistic effect, as the mechanism of unit cohesion. These results were observed in both Salinibacter ruber, an environmental halophilic organism, and Escherichia coli, the model gut-associated organism and an opportunistic pathogen, indicating that they may be more broadly applicable to the microbial world. Therefore, our results have strong implications for how to identify and regulate microbial species and genomovars of clinical or environmental importance and answer an important question for microbiology: what a species is. SIGNIFICANCEA highly pressing issue to resolve toward advancing the species concept for microbes (i.e., "what a species is") is to elucidate the underlying mechanisms for creating and maintaining species- and intraspecies-level gaps in diversity, or simply "clusters". In this study, we provide a novel methodology and the appropriate data to elucidate these mechanisms, and thus provide a mechanistic explanation of how the evolution of species- and strain-level clusters takes place. Specifically, our results show that several bacteria may be evolving and speciating much more sexually than previously thought, even under conditions of no strong positive selection for DNA exchange (i.e., neutral conditions). These results have major implications for better understanding and modeling microbial diversity on the planet.

microbiology↗

bioRxiv2023

Towards estimating the number of strains that make up a natural bacterial population

What a strain is and how many strains make up a natural bacterial population remain elusive concepts despite their apparent importance for assessing the role of intra-population diversity in disease emergence or response to environmental perturbations. To advance these concepts, we sequenced 138 randomly selected Salinibacter ruber isolates from two solar salterns and assessed these genomes against companion short-read metagenomes from the same samples. The distribution of genome-aggregate average nucleotide identity (ANI) values among these isolates revealed a bimodal distribution, with significantly lower occurrence of values between 99.2% and 99.8% relative to ANI >99.8% or <99.2%, revealing a natural "gap" in the sequence space within species. Accordingly, we used this ANI gap to define genomovars and a higher ANI value of >99.99% and shared gene-content >99.0% to define strains. Using these thresholds and extrapolating from how many metagenomic reads each genomovar uniquely recruited, we estimated that -although our 138 isolates represented about 80% of the Sal. ruber population- the total population in one pond is composed of 5,500 to 11,000 genomovars, the great majority of which appear to be rare in situ. These data also revealed that the most frequently recovered isolate in lab media was often not the most abundant genomovar in situ, suggesting that cultivation biases are significant, even in cases that cultivation procedures are thought to be robust. Preliminary analyses of available genomes revealed that the thresholds used for defining strains and distinct intra-species units (genomovars) may be broadly applicable to additional bacterial species. Significance StatementStrains are the smallest distinguishable units within a microbial species. Strains that carry unique gene content often underly the emergence of disease outbreaks and the response of the species to environmental perturbations. Therefore, a major challenge in microbiome research across environmental and clinical settings is to evaluate how many strains of the same species coexist in nature and how dominant strains emerge from this diversity. Unfortunately, the available theoretical concept of strain is not directly applicable to culture-independent surveys. Here, we provide such a practical definition for strain and use it to show that that the number of strains making up a natural bacterial population may be large, in the order of a few thousands, but not infinite.

microbiology↗

bioRxiv2020

Niche preference of Escherichia coli in a peri-urban pond ecosystem

Escherichia coli comprises of diverse strains with a large accessory genome, indicating functional diversity and the ability to adapt to a range of niches. Specific strains would display greatest fitness in niches matching their combination of phenotypic traits. Given this hypothesis, we sought to determine whether E. coli in a peri-urban pond and associated cattle pasture display niche preference. Samples were collected from water, sediment, aquatic plants, water snails associated with the pond as well as bovine feces from cattle in an adjacent pasture. Isolates (120) were obtained after plating on Membrane Lactose Glucuronide Agar (MLGA). We used the uidA and mutS sequences for all isolates to determine phylogeny by maximum likelihood, and population structure through gene flow analysis. PCR was used to allocate isolates to phylogroups and to determine the presence of pathogenicity / virulence genes (stxI, stxII, eaeA, hlyA, ST and LT). Antimicrobial resistance was determined using a disk diffusion assay for Tetracycline, Gentamicin, Ciprofloxacin, Meropenem, Ceftriaxone, and Azitrhomycin. Our results showed that isolates from water, sediment and water plants were similar by phylogroup distribution, virulence gene distribution and antibiotic resistance while both snail and feces populations were significantly different. Few of the feces isolates were significantly similar to aquatic ones, and most of the snail isolates were also different. Population structure analysis indicated three genetic backgrounds associated with bovine, snail and aquatic environments. Collectively these data support niche preference of E. coli isolates occurring in this ecosystem.

microbiology↗

bioRxiv2019

Reproducible microbial community dynamics of two drinking water systems treating similar source waters.

Understanding whether the spatial-temporal dynamics of the drinking water microbiome are reproducible in full-scale drinking water systems is an important step towards devising engineering strategies to manipulate it. Yet, direct comparisons across full-scale drinking water systems are challenging because multiple factors, from source water to treatment process choice and configuration, can be unique to each system. This study compared the spatial-temporal dynamics of the drinking water microbiome in two drinking water treatment plants (DWTPs) with identical sequence of treatment strategies treating source waters from the same river system and with treated drinking water distributed in same large-scale (but independent) distribution system (DWDS) with similar disinfectant residual regiment. Dissimilarities in source water communities were tempered by the pre-disinfection treatments, resulting in highly similar post-filtration microbial communities between the two systems. However, high community turnover due to disinfection resulted in highly dissimilar microbial communities in the finished water between the two systems. Interestingly however, the microbial communities in the two systems increased in similarity during transit through the DWDS despite presence of a disinfectant residual. Overall our study finds that the drinking water microbiome demonstrated reproducible spatial and temporal dynamics within both independent but nearly identical DWTPs and their corresponding DWDSs. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

microbiology↗

bioRxiv2019

Microbial Nitrogen Metabolism in Chloraminated Drinking Water Reservoirs

Nitrification is a common concern in chloraminated drinking water distribution systems. The addition of ammonia promotes the growth of nitrifying organisms, causing the depletion of chloramine residuals and resulting in operational problems for many drinking water utilities. Therefore, a comprehensive understanding of the microbially mediated processes behind nitrogen metabolism together with chemical water quality data, may allow water utilities to better address the undesirable effects caused by nitrification. In this study, a metagenomic approach was applied to characterise the microbial nitrogen metabolism within chloraminated drinking water reservoirs. Samples from two geographically separated but connected chloraminated reservoirs within the same drinking water distribution system (DWDS) were collected within a 2-year sampling campaign. Spatial changes in the nitrogen compounds (ammonium (NH4+), nitrites (NO2-) and nitrates (NO3-)) across the DWDS were observed, where nitrate concentrations increased as the distance from the site of chloramination increased. The observed dominance of Nitrosomonas and Nitrospira-like bacteria, together with the changes in the concentration of nitrogen species, suggests that these bacteria play a significant role in contributing to varying stages of nitrification in both reservoirs. Functionally annotated protein sequences were mined for the genes associated with nitrogen metabolism and the community gene catalogue contained mostly genes involved in nitrification, nitrate and nitrite reduction and nitric oxide reduction. Furthermore, based on the construction of Metagenome Assembled Genomes (MAGs), a highly diverse assemblage of bacteria (i.e., predominately Alpha- and Betaproteobacteria in this study) was observed among the draft genomes. Specifically, 5 MAGs showed high coverage across all samples including two Nitrosomonas, Nitrospira, Sphingomonas and a Rhizobiales-like MAGs. The role of these MAGs in nitrogen metabolism revealed that the fate nitrate may be linked to changes in ammonia concentrations, that is, when ammonia concentrations are low, nitrate may be assimilated back to ammonia for growth. Alternatively, nitrate may be reduced to nitric oxide and potentially used in the regulation of biofilm formation. Therefore, this study provides insight into the genetic network behind microbially mediated nitrogen metabolism and together with the water chemistry data improves our understanding nitrification in chloraminated DWDSs.

microbiology↗