Presence of glucose, xylose, and glycerol fermenting bacteria in the deep biosphere of the former Homestake gold mine, South Dakota

An inclusive study to elucidation the heavy metals-derived ecological risk nexus with antibiotic resistome functional shape of niche microbial community and their carbon substrate utilization ability in serpentine soil

Heavy metals (HMs) contained terrestrial ecosystems are often significantly display the antibiotic resistome in the pristine area due to increasing pressure from anthropogenic activity, is complex and emerging research interest. This study investigated that impact of chromium (Cr), nickel (Ni), cobalt (Co) concentrations in serpentine soil on the induction of antibiotic resistance genes and antimicrobial resistance within the native bacterial community as well as demonstrated their metabolic fingerprint. The full-length 16S-rRNA amplicon sequencing observed an increased abundance of Firmicutes, Actinobacteriota, and Acidobacteriota in serpentine soil. The microbial community in serpentine soil displayed varying preferences for different carbon sources, with some, such as carbohydrates and carboxylic acids, being consistently favored. Notably, 27 potential antibiotic resistance opportunistic bacterial genera have been identified in different serpentine soils. Among these, Lapillicoccus, Rubrobacter, Lacibacter, Chloroplast, Nitrospira, Rokubacteriales, Acinetobacter, Pseudomonas were significantly enriched in high and medium HMs concentrated serpentine soil samples. Functional profiling results illustrated that vancomycin resistance pathways were prevalent across all groups. Additionally, beta-lactamase, aminoglycoside, tetracycline, and vancomycin resistance involving specific bio-maker genes (ampC, penP, OXA, aacA, strB, hyg, aph, tet(A/B), otr(C), tet(M/O/Q), van(A/B/D), and vanJ) were the most abundant and enriched in the HMs-contaminated serpentine soil. Overall, this study highlighted that heavy-metal enriched serpentine soil is potential to support the proliferation of bacterial antibiotic resistance in native microbiome, and might able to spread antibiotic resistance to surrounding environment.

A metagenomic view of novel microbial and metabolic diversity found within the deep terrestrial biosphere at DeMMO: A microbial observatory in South Dakota, USA

The deep terrestrial subsurface is a large and diverse microbial habitat and vast repository of biomass. However, in relation to its size and physical heterogeneity we have limited understanding of taxonomic and metabolic diversity in this realm. Here we present a detailed metagenomic analysis of samples from the Deep Mine Microbial Observatory (DeMMO) spanning depths from the surface to 1.5 km into the crust. From eight geochemically and spatially distinct fluid samples we reconstructed ~600 partial to near-complete metagenome-assembled genomes (MAGs), representing 50 distinct phyla and including 18 candidate phyla. These novel clades include members of the candidate phyla radiation, two new MAGs from OLB16, a phylum originally identified in DeMMO fluids and for which only one other MAG is currently available, and new MAGs from the Eisenbacteria, Omnitrophota, and Edwardsbacteria. We find that microbes spanning this expansive phylogenetic diversity and physical subsurface space gain a competitive edge by maintaining a wide variety of functional pathways, are often capable of numerous dissimilatory energy metabolisms and poised to take advantage of nutrients as they become available in isolated fracture fluids. Our results support and expand on emerging themes of tight nutrient cycling and genomic plasticity in deep subsurface biosphere taxa.

Depth wide distribution and metabolic potential of chemolithoautotrophic microorganisms reactivated from deep continental granitic crust underneath the Deccan Traps at Koyna, India

Characterization of inorganic carbon (C) utilizing microorganisms from deep crystalline rocks is of major scientific interest owing to their crucial role in global carbon and other elemental cycles. In this study we investigate the microbial populations from the deep [up to 2,908 meters below surface (mbs)] granitic rocks within the Koyna seismogenic zone, reactivated (enriched) under anaerobic, high temperature (50°C), chemolithoautotrophic conditions. Subsurface rock samples from six different depths (1,679-2,908 mbs) are incubated (180 days) with CO₂ (+H₂) or HCO₃ ^- as the sole C source. Estimation of total protein, ATP, utilization of NO₃ ^- and SO₄ ^2- and 16S rRNA gene qPCR suggests considerable microbial growth within the chemolithotrophic conditions. We note a better response of rock hosted community towards CO₂ (+H₂) over HCO₃ ^-. 16S rRNA gene amplicon sequencing shows a depth-wide distribution of diverse chemolithotrophic (and a few fermentative) Bacteria and Archaea. Comamonas, Burkholderia-Caballeronia-Paraburkholderia, Ralstonia, Klebsiella, unclassified Burkholderiaceae and Enterobacteriaceae are reactivated as dominant organisms from the enrichments of the deeper rocks (2335-2,908 mbs) with both CO₂ and HCO₃ ^-. For the rock samples from shallower depths, organisms of varied taxa are enriched under CO₂ (+H₂) and HCO₃ ^-. Pseudomonas, Rhodanobacter, Methyloversatilis, and Thaumarchaeota are major CO₂ (+H₂) utilizers, while Nocardioides, Sphingomonas, Aeromonas, respond towards HCO₃ ^-. H₂ oxidizing Cupriavidus, Hydrogenophilus, Hydrogenophaga, CO₂ fixing Cyanobacteria Rhodobacter, Clostridium, Desulfovibrio and methanogenic archaea are also enriched. Enriched chemolithoautotrophic members show good correlation with CO₂, CH₄ and H₂ concentrations of the native rock environments, while the organisms from upper horizons correlate more to NO₃ ^-, SO₄ ^2- _, Fe and TIC levels of the rocks. Co-occurrence networks suggest close interaction between chemolithoautotrophic and chemoorganotrophic/fermentative organisms. Carbon fixing 3-HP and DC/HB cycles, hydrogen, sulfur oxidation, CH₄ and acetate metabolisms are predicted in the enriched communities. Our study elucidates the presence of live, C and H₂ utilizing Bacteria and Archaea in deep subsurface granitic rocks, which are enriched successfully. Significant impact of depth and geochemical controls on relative distribution of various chemolithotrophic species enriched and their C and H₂ metabolism are highlighted. These endolithic microorganisms show great potential for answering the fundamental questions of deep life and their exploitation in CO₂ capture and conversion to useful products.

"MINES" method for genomic DNA extraction from deep biosphere biofilms

Successful and efficient extraction of high quality, high molecular weight genomic DNA from the environmental samples is an essential primary step to understand the genetic, metabolic and evolutionary characteristics of the microbial communities. Deep mine biofilm samples that contain high amounts of mucoid exopolysaccharide often pose difficulties to obtaining refined community DNA. To circumvent this hindrance, we report our "MINES" method which we developed for optimal biofilm DNA recovery suitable for all types of high-resolution downstream applications. The method is also suitable for samples collected from landfill compost, kitchen digest (KD), and for Gram-positive Geobacillus sp. strain WSUCF1 and Gram-negative E. coli DH5α strains. In one form of the method, use of a gentle preprocessing technique to loosen the mucoid layer, combined with a multi-lytic polyzyme treatment to maximize yields from all cell types in the biofilm sample, yielded >1 μg of high molecular weight DNA (16-20 kb) per gram of the biofilm sample, with an A260/280 and A260/230 ratio of about 2. Furthermore, amplification of 16S rRNA genes as well as restriction digestion with BamHI and HindIII suggest that the newly developed method can minimize any inhibitory effects of contaminants. Results indicate that it is an appropriate methodology for the extraction of total genomic DNA for functional metagenomic studies and may be applicable to other environmental samples from which DNA extraction is challenging. IMPORTANCE: Our present knowledge of microorganisms and their enzymes from deep mine subsurfaces is based largely on laboratory studies of pure microbial cultures. These methods tend only to hit nearly 1% of the entire microbial community. In this regard, metagenomics, has emerged as a strategic approach to explore unculturable microbes through the sequencing and analysis of DNA extracted from the environmental samples. This research paper discusses our "MINES" method for genomic DNA extraction from deep biosphere biofilm samples.

Chemolithotrophy in the continental deep subsurface: Sanford Underground Research Facility (SURF), USA

The deep subsurface is an enormous repository of microbial life. However, the metabolic capabilities of these microorganisms and the degree to which they are dependent on surface processes are largely unknown. Due to the logistical difficulty of sampling and inherent heterogeneity, the microbial populations of the terrestrial subsurface are poorly characterized. In an effort to better understand the biogeochemistry of deep terrestrial habitats, we evaluate the energetic yield of chemolithotrophic metabolisms and microbial diversity in the Sanford Underground Research Facility (SURF) in the former Homestake Gold Mine, SD, USA. Geochemical data, energetic modeling, and DNA sequencing were combined with principle component analysis to describe this deep (down to 8100 ft below surface), terrestrial environment. SURF provides access into an iron-rich Paleoproterozoic metasedimentary deposit that contains deeply circulating groundwater. Geochemical analyses of subsurface fluids reveal enormous geochemical diversity ranging widely in salinity, oxidation state (ORP 330 to −328 mV), and concentrations of redox sensitive species (e.g., Fe²⁺ from near 0 to 6.2 mg/L and Σ S^2- from 7 to 2778μg/L). As a direct result of this compositional buffet, Gibbs energy calculations reveal an abundance of energy for microorganisms from the oxidation of sulfur, iron, nitrogen, methane, and manganese. Pyrotag DNA sequencing reveals diverse communities of chemolithoautotrophs, thermophiles, aerobic and anaerobic heterotrophs, and numerous uncultivated clades. Extrapolated across the mine footprint, these data suggest a complex spatial mosaic of subsurface primary productivity that is in good agreement with predicted energy yields. Notably, we report Gibbs energy normalized both per mole of reaction and per kg fluid (energy density) and find the later to be more consistent with observed physiologies and environmental conditions. Further application of this approach will significantly expand our understanding of the deep terrestrial biosphere.