Evaluating the microcystin-LR-degrading potential of bacteria growing in extreme and polluted environments.

Inhabitants of extreme and polluted environments are attractive as candidates for environmental bioremediation. Bacteria growing in oil refinery effluents, tannery dumpsite soils, car wash effluents, salt pans and hot springs were screened for microcystin-LR biodegradation potentials. Using a colorimetric BIOLOG MT2 assay; Arthrobacter sp. B105, Arthrobacter junii, Plantibacter sp. PDD-56b-14, Acinetobacter sp. DUT-2, Salinivibrio sp. YH4, Bacillus sp., Bacillus thuringiensis and Lysinibacillus boronitolerans could grow in the presence of microcystin-LR at 1, 10 and 100 µg L-1. Most bacteria grew optimally at 10 µg L-1 microcystin-LR under alkaline pH (8 and 9). The ability of these bacteria to use MC-LR as a growth substrate depicts their ability to metabolize the toxin, which is equivalent to its degradation. Through PCR screening, these bacteria were shown to lack the mlr genes implying possible use of a unique microcystin-LR degradation pathway. The study highlights the wide environmental and taxonomic distribution of microcystin-LR degraders.

Unraveling bacterial diversity in oil refinery effluents.

Oil refinery effluents are among stressful environments, and they are characterized by alkaline pH, high concentrations of dissolved solids, electrical conductivity, and metals (mainly Fe, Al, B, Sr, Mn, Cu, Ni). In this study, bacterial diversity in these habitats was inferred from full-length 16S rRNA gene sequences obtained from the PacBio® sequencing platform. The results have shown low bacterial diversity in both raw and treated effluents, with sequences representing only two phyla: Firmicutes and Proteobacteria. Sequences from the raw effluents represent four major genera: Bacillus, Wenzhouxiangella, Rhodabaculum, and Halomonas. Whilst bacterial communities from the treated effluents are relatively more diverse as sequences represent five dominant genera: Pseudoxanthomonas, Brevundimonas, Pseudomonas, Rhodobaculum and Rhizobium. Most of the genera represented in the dataset are halophilic or halotolerant microbes known to have the competency to catabolize a broad spectrum of organic and inorganic pollutants. Hypothetically, these bacteria may be relevant for biotechnological and industrial applications, particularly for the remediation of saline industrial wastes.

Acid Mine Drainage as Habitats for Distinct Microbiomes: Current Knowledge in the Era of Molecular and Omic Technologies.

The last decade has witnessed growth in scientific interest towards studying the biodiversity and ecology in extreme environments. Acid Mine Drainage (AMD), formed through the bio-oxidation of metal sulphides, is a typical extreme environment that is inhospitable to most life forms. Through the application of traditional culture-based molecular techniques, it has been established that AMD is home to a low diversity, specialized and novel microbial community that plays a critical role in its formation. Intensive efforts have been channeled towards understanding the ecology, microbial biodiversity, processes and metabolic networks within these simple ecosystems. Molecular techniques using high-throughput next-generation sequencing platforms have taken center stage in discerning both the taxonomic and functional diversity in these microbial communities. Recently developed post-genomic approaches as well have been particularly instrumental in deciphering in situ interactions within microbial communities and the environment. In this review, a critical synopsis of the current applications of advanced molecular techniques in probing microbial and functional diversity in AMD environments is presented.

Diversity and functional profile of bacterial communities at Lancaster acid mine drainage dam, South Africa as revealed by 16S rRNA gene high-throughput sequencing analysis.

This study surveyed physicochemical properties and bacterial community structure of water and sediments from an acid mine drainage (AMD) dam in South Africa. High-throughput sequence analysis revealed low diversity bacterial communities affiliated within 8 dominant phyla; Acidobacteria, Actinobacteria, Chloroflexi, Firmicutes, Nitrospirae, Proteobacteria, Saccharibacteria, and ca. TM6_(Dependentiae). Acidiphilium spp. which are common AMD inhabitants but rarely occur as dominant taxa, were the most abundant in both AMD water and sediments. Other groups making up the community are less common AMD inhabitants; Acidibacillus, Acidibacter, Acidobacterium, Acidothermus, Legionella, Metallibacterium, Mycobacterium, as well as elusive taxa (Saccharibacteria, ca. TM6_(Dependentiae) and ca. JG37-AG-4). Although most of the taxa are shared between sediment and water communities, alpha diversity indices indicate a higher species richness in the sediments. From canonical correspondence analysis, DOC, Mn, Cu, Cr, Al, Fe, Ca were identified as important determinants of community structure in water, compared to DOC, Ca, Cu, Fe, Zn, Mg, K, Mn, Al, sulfates, and nitrates in sediments. Predictive functional profiling recovered genes associated with bacterial growth and those related to survival and adaptation to the harsh environmental conditions. Overall, the study reports on a distinct AMD bacterial community and highlights sediments as microhabitats with higher species richness than water.