Assessing the bacterial diversity and functional profiles of the River Yamuna using Illumina MiSeq sequencing

A review of advanced bioremediation technologies for dioxin-contaminated soil treatment: Current and future outlook

Polychlorinated dibenzo-p-dioxins (PCDD) and polychlorinated dibenzofurans (PCDF), namely known as dioxins, are persistent organic compounds with high toxicity. The presence of dioxins in soil is a major environmental issue worldwide, as it negatively impacts both ecosystems and human health. Thus, several advanced techniques have been applied to overcome this issue, offering promising treatment efficiency and cost-effectiveness. This review employs a meta-analysis strategy to provide an up-to-date assessment of the global situation of dioxin-contaminated soil. Dioxin concentrations are commonly higher in industrial and urban areas than in rural areas, primarily due to anthropogenic activities such as chemical manufacturing and waste incineration. Furthermore, several advanced bioremediation technologies for dioxin treatment, including biosurfactants, composting, and phytoremediation were highlighted and thoroughly discussed. Aerobic composting has proven to be robust in removing dioxins, achieving treatment efficiencies ranging from 65% to 85%. Whereas, phytoremediation, particularly when involving agricultural crops like zucchini, cucumber, and wheat, shows great promise in dioxin removal through various mechanisms, including root uptake and transpiration. Notably, biosurfactants such as rhamnolipids and sophorolipids have been effectively used to remediate dioxin-contaminated soil due to their significantly enhanced bioavailability of dioxins and their interaction with microbes. This review provides a comprehensive understanding of advanced biotechnologies for remediating dioxin-contaminated soil. It also addresses the technical and economic aspects of dioxin treatment and identifies future directions and research perspectives to fill knowledge gaps in this field.

Comparison of Yamuna (India) and Mississippi River (United States of America) bacterial communities reveals greater diversity below the Yamunotri Glacier

The Yamuna River in India and the Mississippi River in the United States hold significant commercial, cultural, and ecological importance. This preliminary survey compares the bacterial communities sampled in surface waters at 11 sites (Yamuna headwaters, Mississippi headwaters, Yamuna River Yamunotri Town, Mississippi River at Winona, Tons River, Yamuna River at Paonta Sahib, Yamuna River Delhi-1, Yamuna River Delhi-2, Yamuna River before Sangam, Sangam, Ganga River before Sangam). Bacterial 16S rDNA analyses demonstrate dominance of Proteobacteria and Bacteroidetes phyla. Actinobacteria were also dominant at sites near Sangam in India and sites in Minnesota. A dominance of Epsilonbacteraeota were found in Delhi, India. Principal component analysis (PCA) using unique operational taxonomic units (OTUs) resulted in the identification of 3 groups that included the Yamuna River locations in Delhi (Delhi locations), Yamuna headwaters and Yamuna River at Yamunotri (Yamuna River locations below the Glacier) and Mississippi, Ganga, Tons, and other Yamuna River locations. Diversity indices were significantly higher at the Yamuna River locations below the Glacier (Simpson D = 0.986 and Shannon H = 5.06) as compared (p value <0.001) to the Delhi locations (D = 0.951 and H = 4.23) and as compared (p value < 0.001) to Mississippi, Ganga, Tons, and other Yamuna River locations (D = 0.943 and H = 3.96). To our knowledge, this is the first survey to compare Mississippi and Yamuna River bacterial communities. We demonstrate higher diversity in the bacterial communities below the Yamunotri glacier in India.

Understanding the bacterial community structure associated with the Eichhornia crassipes rootzone

BACKGROUND

Plant microbiome acts as an interface between plants and their environment, aiding in the functioning of the ecosystem, such as protection against abiotic and biotic stress along with improving nutrient uptake. The rhizosphere is an essential interface for the interaction between plants and microbes and plays a substantial part in the removal as well as uptake of heavy metals and antibiotics from contaminated locations. Eichhornia crassipes is a promising plant that contains a rich community of microbes in its rhizosphere. Microorganism's association with plants embodies a crucial pathway via which humans can also be exposed to antibiotic-resistant genes and bacteria.

METHODS AND RESULTS

In our earlier study enhanced removal of ciprofloxacin was observed by plant growth-promoting Microbacterium sp. WHC1 in the presence of E. crassipes root exudates. Therefore, the V3-V4, hypervariable region of the 16 S rRNA gene was studied to assess the bacterial diversity and functional profiles of the microbiota associated with plant roots. Using the QIIME software program, 16 S rRNA data from the Next Generation Sequencing (NGS) platform was examined. Alpha diversity including Chao1, Observed Shannon, and Simpson index denote significantly higher bacterial diversity. Proteobacteria (79%) was the most abundant phylum which was present in the root samples followed by Firmicutes (8%) and Cyanobacteria (8%). Sulfuricurvum (36%) is the most abundant genus belonging to the family Helicobacteraceae and the species kujiense in the genus Sulfuricurvum is the most abundant species present in the root sample. Also, the bacterial communities in the rhizoplane of Eichhornia crassipes harbor the genes conferring resistance to beta-lactams, tetracycline, fluoroquinolones, and penams.

CONCLUSION

Metagenomic studies on the E. crassipes microbiome showed that the bacterial communities constituting the root exudates of the Eichhornia aid them to survive in a polluted environment.

Planktonic and epilithic prokaryota community compositions in a large temperate river reflect climate change related seasonal shifts

In freshwaters, microbial communities are of outstanding importance both from ecological and public health perspectives, however, they are threatened by the impact of global warming. To reveal how different prokaryotic communities in a large temperate river respond to environment conditions related to climate change, the present study provides the first detailed insight into the composition and spatial and year-round temporal variations of planktonic and epilithic prokaryotic community. Microbial diversity was studied using high-throughput next generation amplicon sequencing. Sampling was carried out monthly in the midstream and the littoral zone of the Danube, upstream and downstream from a large urban area. Result demonstrated that river habitats predominantly determine the taxonomic composition of the microbiota; diverse and well-differentiated microbial communities developed in water and epilithon, with higher variance in the latter. The composition of bacterioplankton clearly followed the prolongation of the summer resulting from climate change, while the epilithon community was less responsive. Rising water temperatures was associated with increased abundances of many taxa (such as phylum Actinobacteria, class Gammaproteobacteria and orders Synechococcales, Alteromonadales, Chitinophagales, Pseudomonadales, Rhizobiales and Xanthomonadales), and the composition of the microbiota also reflected changes of several further environmental factors (such as turbidity, TOC, electric conductivity, pH and the concentration of phosphate, sulphate, nitrate, total nitrogen and the dissolved oxygen). The results indicate that shift in microbial community responding to changing environment may be of crucial importance in the decomposition of organic compounds (including pollutants and xenobiotics), the transformation and accumulation of heavy metals and the occurrence of pathogens or antimicrobial resistant organisms.

The investigation of the physiochemical factors and bacterial communities indicates a low-toxic infectious risk of the Qiujiang River in Shanghai, China

The overall water quality of urban rivers is closely related to the community structure and the physiochemical factors in them. In this study, the bacterial communities and physiochemical factors of the Qiujiang River, an important urban river in Shanghai, were explored. Water samples were collected from nine sites of the Qiujiang River on November 16, 2020. The water quality and bacterial diversity were studied through physicochemical detection, microbial culture and identification, luminescence bacteria method, and 16S rRNA Illumina MiSeq high-throughput sequencing technology. The water pollution of the Qiujiang River was quite serious with three water quality evaluation indexes, including Cd²⁺, Pb²⁺, and NH₄⁺-N, exceeding the Class V standard set by the Environmental Quality Standards for Surface Water (China, GB3838-2002), while the luminescent bacteria test indicated low toxicity of nine sampling sites. Through 16S rRNA sequencing, a total of 45 phyla, 124 classes, and 963 genera were identified, in which Proteobacteria, Gammaproteobacteria, and Limnohabitans were the most abundant phylum, class, and genus, respectively. The Spearman correlation heatmap and redundancy analysis showed that the bacterial communities in the Qiujiang River were correlated with pH; the concentrations of K⁺, and NH₄⁺-N, and the Limnohabitans were significantly correlated with the concentrations of K⁺, and NH₄⁺-N in the Zhongyuan Road bridge segment. In addition, opportunistic pathogens Enterobacter cloacae complex and Klebsiella pneumoniae in the samples collected in the Zhongyuan Road bridge segment and Huangpu River segment, respectively, were successfully cultured. The Qiujiang River was a heavily polluted urban river. The bacterial community structure and diversity were greatly affected by the physiochemical factors of the Qiujiang River, and it displayed low toxicity while a relatively high infectious risk of intestinal and lung infectious diseases.

Kelp Culture Enhances Coastal Biogeochemical Cycles by Maintaining Bacterioplankton Richness and Regulating Its Interactions

As an important carbon sink, seaweed cultivation plays a vital role in controlling global climate change. However, most studies have been focused on the seaweed itself, and knowledge of bacterioplankton dynamics in seaweed cultivation activities is still limited. Here, a total of 80 water samples were obtained from a coastal kelp cultivation area and adjacent non-culture area in the seedling and mature stages. The bacterioplankton communities were analyzed using high-throughput sequencing of bacterial 16S rRNA genes, and the microbial genes involving biogeochemical cycles were measured by a high-throughput quantitative PCR (qPCR) chip. Seasonal variations in alpha diversity indices of bacterioplankton were found, and kelp cultivation mitigated this decline in biodiversity from the seedling to the mature stage. Further beta diversity and core taxa analyses revealed that the maintenance of biodiversity was due to kelp cultivation favoring the survival of rare bacteria. Comparisons of gene abundances between coastal water with and without kelp cultivation showed a more powerful capacity of biogeochemical cycles induced by kelp cultivation. More importantly, a positive relationship between bacterial richness and biogeochemical cycling functions was observed in samples with kelp cultivation. Finally, a co-occurrence network and pathway model indicated that the higher bacterioplankton biodiversity in kelp culture areas compared to non-mariculture regions could balance the microbial interactions to regulate biogeochemical cycles and thus enhance the ecosystem functions of kelp cultivation coasts. The findings of this study allow us to better understand the effects of kelp cultivation on coastal ecosystems and provide novel insights into the relationship between biodiversity and ecosystem functions. IMPORTANCE In this study, we tried to address the effects of seaweed cultivation on the microbial biogeochemical cycles and the underlying relationships between biodiversity and ecosystem functions. We revealed clear enhancement of biogeochemical cycles in the seaweed cultivation areas compared to the non-mariculture coasts at both the beginning and ending of the culture cycle. Moreover, the enhanced biogeochemical cycling functions in the culture areas were found to contribute to the richness and interspecies interactions of bacterioplankton communities. The findings of this study allow us to better understand the effects of seaweed cultivation on coastal ecosystems and provide novel insights into the relationship between biodiversity and ecosystem functions.

Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review

Microbial analysis has become one of the most critical areas in aquatic ecology and a crucial component for assessing the contribution of microbes in food web dynamics and biogeochemical processes. Initial research was focused on estimating the abundance and distribution of the microbes using microscopy and culture-based analysis, which are undoubtedly complex tasks. Over the past few decades, microbiologists have endeavored to apply and extend molecular techniques to address pertinent questions related to the function and metabolism of microbes in aquatic ecology. Metagenomics analysis has revolutionized aquatic ecology studies involving the investigation of the genome of a mixed community of organisms in an ecosystem to identify microorganisms, their functionality, and the discovery of novel proteins. This review discusses the metagenomics analysis of bacterial diversity in and around different aquatic systems in India.

Slight flow volume rises increase nitrogen loading to nitrogen-rich river, while dramatic flow volume rises promote nitrogen consumption

Concentrated rainfall and water transfer projects result in slight and dramatic increases in flow volume over short periods of time, causing nitrogen recontamination in the water-receiving areas of nitrogen-rich rivers. This study coupled hydrodynamic and biochemical reaction models to construct a model for quantifying diffusive transport and transformation fluxes of nitrogen across the water-sediment interface and analysed possible changes in the relative abundance of microbial functional genes using high-throughput sequencing techniques. In this study, the processes of ammonium (NH₄⁺-N) and nitrate (NO₃^--N) nitrogen release and sedimentation with resuspended particles, as well as mineralisation, nitrification, and denitrification processes were investigated at the water-sediment interface in the Fu River during slight and dramatic increases in flow volume caused by concentrated rainfall and water diversion projects. Specifically, a slight flow volume rise increased the release of NH₄⁺-N from the sediment, inhibited sedimentation of NO₃^--N, decreased the mineralisation rate, increased the nitrification rate, and had little effect on the denitrification process, ultimately increasing the nitrogen load to the river water. A dramatic increase in flow volume simultaneously increased NH₄⁺-N and NO₃^--N exchange fluxes, inhibited the mineralisation process, promoted nitrification-denitrification processes, and increased inorganic nitrogen consumption in the river. This study provides a solution for the re-pollution of rivers that occurs during the implementation of reservoir management and water diversion projects. Furthermore, these results indicate a potential global nitrogen sink that may have been overlooked.

Community structure and function of microbiomes in polluted stretches of river Yamuna in New Delhi, India, using shotgun metagenomics

The large population residing in the northern region of India surrounding Delhi mostly depends on water of River Yamuna, a tributary of mighty Ganga for agriculture, drinking and various religious activities. However, continuous anthropogenic activities mostly due to pollution mediated by rapid urbanization and industrialization have profoundly affected river microflora and their function thus its health. In this study, potential of whole-genome metagenomics was exploited to unravel the novel consortia of microbiome and their functional potential in the polluted sediments of the river at Delhi. Analysis of high-quality metagenome data from Illumina NextSeq500 revealed substantial differences in composition of microbiota at different sites dominated by Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria and Chloroflexi phyla. The presence of highly dominant anaerobic bacteria like Dechloromonas aromatica (benzene reducing and denitrifying), Rhodopseudomonas palustris (organic matter reducing), Syntrophus aciditrophicus (fatty acid reducing) and Syntrophobacter fumaroxidans (sulphate reducing) in the polluted river Yamuna signifies the impact of unchecked pollution in declining health of the river ecosystem. A decline in abundance of phages was also noticed along the downstream river Yamuna. Mining of mycobiome reads uncovered plethora of fungal communities (i.e. Nakaseomyces, Aspergillus, Schizosaccharomyces and Lodderomyces) in the polluted stretches due to the availability of higher organic carbon and total nitrogen (%) could be decoded as promising bioindicators of river trophic status. Pathway analysis through KEGG revealed higher abundance of genes involved in energy metabolism (nitrogen and sulphur), methane metabolism, degradation of xenobiotics (Nitrotoluene, Benzoate and Atrazine), two-component system (atoB, cusA and silA) and membrane transport (ABC transporters). Catalase-peroxidase and 4-hydroxybenzoate 3-monooxygenase were the most enriched pollution degrading enzymes in the polluted study sites of river Yamuna. Overall, our results provide crucial insights into microbial dynamics and their function in response to high pollution and could be insightful to the ongoing remediation strategies to clean river Yamuna.

Metagenomic insights to understand the role of polluted river Yamuna in shaping the gut microbial communities of two invasive fish species

The gastrointestinal microbial community plays a crucial role in host health, immunity, protection, development and provides nutrients to the host. The rising human-induced pollution and heavy metal contamination in all aquatic systems globally has led us to explore the gut microbial diversity of two exotic invasive fish Cyprinus carpio (Linnaeus, 1858) and Oreochromis niloticus (Linnaeus,1857) from river Yamuna, India. These fishes are aquatic bioindicators with high demographic resilience. Exploring these associations would pave the way for addressing problems that inhabitant fishes are facing due to the increasing pollution load in the River Yamuna. Based on 16S rRNA gene amplicon sequencing, our results deliver comparative information on the gut microbiome of these fishes and highlight connotations between the microbiome of gut and water samples. The gut of C. carpio and O. niloticus was dominated by phyla Proteobacteria whereas Bacteroidetes dominated the water sample. Microbial communities showed predicted roles such as pathogenicity (Escherichia-Shigella, Aeromonas veronii, Vibrio cholerae, Streptococcus iniae, Flavobacterium columnare, Klebsiella pneumoniae, Mycobacterium sp.), probiotic applications (Bacillus velezensis, Lactobacillus plantarum, Enterococcus faecalis, Bifidobacterium longum, Lactococcus lactis, Leuconostoc falkenbergense) and involvement in sewage and organic matter decomposition (Nitrosomonas sp., Methanosaeta harundinacea, Dechloromonas agitata, Thauera humireducens, Zoogloea ramigera). Heavy metal degrading members (Leucobacter chromiireducens, Pseudomonas fluorescens, P. aeruginosa, Klebsiella pneumoniae, and Micrococcus luteus) were detected in gut microbiome samples thus supporting the notion that fish shapes its gut microbiota with changing ecology. Functional profiling showed that microbial communities are specialized in metabolic functions thus reflecting the dietary profile of these invasive fishes.

Refinement of microbiota analysis of specimens from patients with respiratory infections using next-generation sequencing

Next-generation sequencing (NGS) technologies have been applied in bacterial flora analysis. However, there is no standardized protocol, and the optimal clustering threshold for estimating bacterial species in respiratory infection specimens is unknown. This study was conducted to investigate the optimal threshold for clustering 16S ribosomal RNA gene sequences into operational taxonomic units (OTUs) by comparing the results of NGS technology with those of the Sanger method, which has a higher accuracy of sequence per single read than NGS technology. This study included 45 patients with pneumonia with aspiration risks and 35 patients with lung abscess. Compared to Sanger method, the concordance rates of NGS technology (clustered at 100%, 99%, and 97% homology) with the predominant phylotype were 78.8%, 71.3%, and 65.0%, respectively. With respect to the specimens dominated by the Streptococcus mitis group, containing several important causative agents of pneumonia, Bray Curtis dissimilarity revealed that the OTUs obtained at 100% clustering threshold (versus those obtained at 99% and 97% thresholds; medians of 0.35, 0.69, and 0.71, respectively) were more similar to those obtained by the Sanger method, with statistical significance (p < 0.05). Clustering with 100% sequence identity is necessary when analyzing the microbiota of respiratory infections using NGS technology.