Nonferrous metal (loid) s mediate bacterial diversity in an abandoned mine tailing impoundment

Genome-resolved metagenomics inferred novel insights into the microbial community, metabolic pathways, and biomining potential of Malanjkhand acidic copper mine tailings

Mine tailing sites provide profound opportunities to elucidate the microbial mechanisms involved in ecosystem functioning. In the present study, metagenomic analysis of dumping soil and adjacent pond around India's largest copper mine at Malanjkhand has been done. Taxonomic analysis deciphered the abundance of phyla Proteobacteria, Bacteroidetes, Acidobacteria, and Chloroflexi. Genomic signatures of viruses were predicted in the soil metagenome, whereas Archaea and Eukaryotes were noticed in water samples. Mesophilic chemolithotrophs, such as Acidobacteria bacterium, Chloroflexi bacterium, and Verrucomicrobia bacterium, were predominant in soil, whereas, in the water sample, the abundance of Methylobacterium mesophilicum, Pedobacter sp., and Thaumarchaeota archaeon was determined. The functional potential analysis highlighted the abundance of genes related to sulfur, nitrogen, methane, ferrous oxidation, carbon fixation, and carbohydrate metabolisms. The genes for copper, iron, arsenic, mercury, chromium, tellurium, hydrogen peroxide, and selenium resistance were found to be predominant in the metagenomes. Metagenome-assembled genomes (MAGs) were constructed from the sequencing data, indicating novel microbial species genetically related to the phylum predicted through whole genome metagenomics. Phylogenetic analysis, genome annotations, functional potential, and resistome analysis showed the resemblance of assembled novel MAGs with traditional organisms used in bioremediation and biomining applications. Microorganisms harboring adaptive mechanisms, such as detoxification, hydroxyl radical scavenging, and heavy metal resistance, could be the potent benefactions for their utility as bioleaching agents. The genetic information produced in the present investigation provides a foundation for pursuing and understanding the molecular aspects of bioleaching and bioremediation applications.

Desulfurivibrio spp. mediate sulfur-oxidation coupled to Sb(V) reduction, a novel biogeochemical process

Antimony (Sb) contamination released from mine tailings represents a global threat to natural ecosystems and human health. The geochemical conditions of Sb tailings, which are oligotrophic and replete in sulfur (S) and Sb, may promote the coupled metabolism of Sb and S. In this study, multiple lines of evidence indicate that a novel biogeochemical process, S oxidation coupled to Sb(V) reduction, is enzymatically mediated by Desulfurivibrio spp. The distribution of Desulfurivibrio covaried with S and Sb concentrations, showing a high relative abundance in Sb mine tailings but not in samples from surrounding sites (i.e., soils, paddies, and river sediments). Further, the metabolic potential to couple S oxidation to Sb(V) reduction, encoded by a non-canonical, oxidative sulfite reductase (dsr) and arsenate reductase (arrA) or antimonate reductase (anrA), respectively, was found to be common in Desulfurivibrio genomes retrieved from metal-contaminated sites in southern China. Elucidation of enzymatically-catalyzed S oxidation coupled to Sb(V) reduction expands the fundamental understanding of Sb biogeochemical cycling, which may be harnessed to improve remediation strategies for Sb mine tailings.

Microbial diversity alteration reveals biomarkers of contamination in soil-river-lake continuum

Microbial communities inhabiting soil-water-sediment continuum in coastal areas provide important ecosystem services. Their adaptation in response to environmental stressors, particularly mitigating the impact of pollutants discharged from human activities, has been considered for the development of microbial biomonitoring tools, but their use is still in the infancy. Here, chemical and molecular (16S rRNA gene metabarcoding) approaches were combined in order to determine the impact of pollutants on microbial assemblages inhabiting the aquatic network of a soil-water-sediment continuum around the Ichkeul Lake (Tunisia), an area highly impacted by human activities. Samples were collected within the soil-river-lake continuum at three stations in dry (summer) and wet (winter) seasons. The contaminant pressure index (PI), which integrates Polycyclic aromatic hydrocarbons (PAHs), alkanes, Organochlorine pesticides (OCPs) and metal contents, and the microbial pressure index microgAMBI, based on bacterial community structure, showed significant correlation with contamination level and differences between seasons. The comparison of prokaryotic communities further revealed specific assemblages for soil, river and lake sediments. Correlation analyses identified potential "specialist" genera for the different compartments, whose abundances were correlated with the pollutant type found. Additionally, PICRUSt analysis revealed the metabolic potential for pollutant transformation or degradation of the identified "specialist" species, providing information to estimate the recovery capacity of the ecosystem. Such findings offer the possibility to define a relevant set of microbial indicators for assessing the effects of human activities on aquatic ecosystems. Microbial indicators, including the detection of "specialist" and sensitive taxa, and their functional capacity, might be useful, in combination with integrative microbial indices, to constitute accurate biomonitoring tools for the management and restoration of complex coastal aquatic systems.

Alteration of mixture toxicity in nonferrous metal mine tailings treated by biochar

Nonferrous metal mining activities produce enormous amounts of tailings that contain high concentrations of toxic chemicals threatening human health and the environment. This risk could be alleviated using remediation agents such as biochar, as proposed by others. However, contradictory evidence indicates that biochar can increase or sometimes decrease bioavailable concentrations depending on the selection of metal(loid)s in mine tailings. Here three biochars derived from different raw stocks were used to treat mine tailings samples. Chemical analyses indicated that all biochars favored the stabilization of Cd, Cr, Cu, Pb, and Zn, as well as the mobilization of As and Sb. The barley root elongation bioassay showed that the tailings toxicity was only partially diminished (up to 55.8%) or even elevated (up to 20.7%) by biochar treatment. Similar results were also observed from microbial enzyme assays (increased up to 28.3% or decreased up to 24.0%). Further analyses showed that these toxic effects correlated well with the relative toxicity index (R² = 0.66 to 0.88). Toxicity testing coupled with the use of a toxicity prediction model presented here suggested that the release of As and Sb from tailings compromised the favorable effects of biochar treatment on toxic cationic metals. Such information is of paramount importance when taking countermeasures for improving bioremediation technologies.