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Land-terminating glaciers are retreating globally, resulting in the expansion of the ice-free glacier forelands (GFs). These GFs act as a natural laboratory to study microbial community succession, soil formation, and ecosystem development. Here, we have employed gene-centric and genome-resolved metagenomic approaches to disseminate microbial diversity, community structure, and their associated biogeochemical processes involved in the carbon, nitrogen, and sulfur cycling across three GF ecosystems. Here, we present a compendium of draft Metagenome Assembled Genomes (MAGs) belonging to bacterial (n = 899) and archaeal (n = 4) domains. These MAGs were reconstructed using a total of 27 shotgun metagenomic datasets obtained from three different GFs, including Midtre Lovénbreen glacier (Svalbard), Russell glacier (Greenland), and Storglaciaren (Sweden). The taxonomic classification revealed that 98% of MAGs remained unclassified at species levels, suggesting the presence of novel microbial lineages. The abundance of metabolic genes associated with carbon, nitrogen, and sulfur cycling pathways varied between and within the samples collected across the three GF ecosystems. Our findings indicate that MAGs from different GFs share close phylogenetic relationships but exhibit significant differences in abundance, distribution patterns, and metabolic functions. This compendium of novel MAGs, encompassing autotrophic, phototrophic, and chemolithoautotrophic microbial groups reconstructed from GF ecosystems, represents a valuable resource for further studies.

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Anthropogenic activities greatly impact nitrogen (N) biogeochemical cycling in aquatic ecosystems. High N concentrations in coastal aquaculture waters threaten fishery production and aquaculture ecosystems and have become an urgent problem to be solved. Existing microbial flora and metabolic potential significantly regulate N turnover in aquatic ecosystems. To clarify the contribution of microorganisms to N turnover in sediment and water, we investigated three types of aquaculture ecosystems in coastal areas of Guangdong, China. Nitrate nitrogen (NO3--N) was the dominant component of total nitrogen in the sediment (interstitial water, 90.4%) and water (61.6%). This finding indicates that NO3--N (1.67-2.86 mg/L and 2.98-7.89 mg/L in the sediment and water) is a major pollutant in aquaculture ecosystems. In water, the relative abundances of assimilation nitrogen reduction and aerobic denitrifying bacteria, as well as the metabolic potentials of nitrogen fixation and dissimilated nitrogen in fish monoculture, were only 61.0%, 31.5%, 47.5%, and 27.2% of fish and shrimp polyculture, respectively. In addition, fish-shrimp polyculture reduced NO3--N content (2.86 mg/L) compared to fish monoculture (7.89 mg/L), which was consistent with changes in aerobic denitrification and nitrate assimilation, suggesting that polyculture could reduce TN concentrations in water bodies and alleviate nitrogen pollution risks. Further analysis via structural equation modeling (SEM) revealed that functional pathways (36% and 31%) explained TN changes better than microbial groups in sediment and water (13% and 11%), suggesting that microbial functional capabilities explain TN better than microbial community composition and other factors (pH, O2, and aquaculture type). This study enhances our understanding of nitrogen pollution characteristics and microbial community and functional capabilities related to sediment-water nitrogen turnover in three types of aquaculture ecosystems, which can contribute to the preservation of healthy coastal ecosystems.

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Plants may influence different aspects of the belowground microorganisms, including abundance, distribution, and interaction, in wetlands. Microbial communities were scrutinized in a 4-year-old restored wetland ecosystem with 5 distinct sites: a bare-soil site (10 local patches) and sites dominated by Miscanthus, Phragmites, Typha, and Zizania (20 patches per site). Ordination analysis revealed that plant-induced attributes (e.g., organic matter and total carbon and nitrogen) could explain the total environmental variance. Community comparisons showed that all groups (Bacteria, Fungi, Protista, and Metazoa) differed in community structure among the 5 sites (P < 0.05). Comparisons between the community and environmental ordination plots revealed that community structural variation among the sites correlated with the environmental change across all groups (R2 ≥ 0.61). This indicates that all groups were primarily influenced by plant detritus. In addition, correlation networks markedly varied in topology and composition among the sites across all groups. There was a strong coupling between the metacommunity and correlation network for both Bacteria and Fungi (R2 ≥ 0.58), indicating that the plants determined the spatial covariation patterns of microbial populations. Multi-group networks and group synchrony results revealed that Bacteria, Fungi, and Protista were synchronized with each other (R2 ≥ 0.52) as the key founders of the microbial systems, while Metazoa participated in the system only under Miscanthus. Our findings concluded that the plants shaped the communities by controlling the abundance and interaction of their populations.

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Thallium (Tl) is a toxic element, but little is known about microbial communities' response to TI mobilization and sequestration. Here, we characterize the microbial communities and their feedbacks to Tl-pollution in riverbank soils to understand the distribution of microbial metal tolerance. These soils have been affected by pollution sourced from a Tl-rich mineralized area in Lanmuchang, Guizhou, China. In all studied soil samples, Proteobacteria, Acidobacteria, and Actinobacteria were revealed relatively in higher abundance at the phylum level. The results indicated that a number of microbial communities including Gemmatimonadetes, and Actinobacteria were correlated with total Tl, suggesting potential roles of these microbes to Tl tolerance. The patterns of phylogenetic beta-diversity in studied samples showed a high diversity of the microbial community in soils with high Tl concentrations. Sequence analysis of microbial community indicated that most of the environmental parameters in soils were associated with the major phylogenetic groups such as Gemmobacteria, Bryobacteria, Proteobacteria, Actinobacteria, Firmicutes, and Rhodobacteria. Some species of microbes, Nocardioides (genus), Actinomycetales (Order), Ralstonia (phyla) and Sphingomonas (genus) might are tolerant of Tl. These results provide direction to the microbial communities in the presence of elevated Tl concentration in Lanmuchang and shed light on bioremediation of Tl polluted locations.

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Three aerobic granular sludge systems were operated as sequencing batch reactors (SBR) with acetate, ethanol and glucose as carbon source. The SBR cycle was 6 h, with an anaerobic phase followed by an aerobic phase. The acetate granules (>1.5 mm) had the greatest microbial diversity and better results in terms of removal efficiency for carbon and nutrients (TN ≈ 72% and TP ≈ 42%) and also in the resistance tests. However, partial disintegration was observed. On the other hand, when ethanol was the substrate, the granules were stable, good nitrogen removal was achieved (TN ≈ 53%), but phosphorus removal was not favored (TP ≈ 31%). Glucose presented the lowest efficiency values for nitrogen (TN ≈ 44%) and phosphorous removal (TP ≈ 21%), and the granules formed (<1 mm) had the lowest microbial diversity. Therefore, the carbon source had a high impact on the characteristics of the granules.

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Aerobic granular sludge (AGS) has been the focus of many investigations, and the main parameters responsible for AGS formation are hydrodynamic shear force, short periods and feast-famine cycles. However, some other parameters are associated with AGS maintenance after long periods of operation. This review evaluates the parameters responsible for AGS formation and maintenance and some reference values are proposed. In addition, some discussions are addressed about the main metabolic pathways that AGS uses for the removal of some compounds, such as nutrients, organic matter, dyes, recalcitrant compounds, among others. Finally, the main microbial groups present in the AGS and their respective functions are discussed. It is also highlighted that many parameters that are taken as reference currently for AGS cultivation and maintenance can be optimized for energy savings, implementation costs, among others, as well as a greater recovery of resources during wastewater treatment, within the scope of the biorefinery concept.

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In the present study, long-term organic and conventional managements were compared at the experimental field of Monsampolo del Tronto (Marche region, Italy) with the aim of investigating soil chemical fertility and microbial community structure. A polyphasic approach, combining soil fertility indicators with microbiological analyses (plate counts, PCR-denaturing gradient gel electrophoresis [DGGE] and phospholipid fatty acid analysis [PLFA]) was applied. Organic matter, N as well as some important macro and micronutrients (K, P, Mg, Mn, Cu, and Zn) for crop growth, were more available under organic management. Bacterial counts were higher in organic management. A significant influence of management system and management x crop interaction was observed for total mesophilic bacteria, nitrogen fixing bacteria and actinobacteria. Interestingly, cultivable fungi were not detected in all analyzed samples. PLFA biomass was higher in the organic and Gram positive bacteria dominated the microbial community in both systems. Even if fungal biomass was higher in organic management, fungal PCR-DGGE fingerprinting revealed that the two systems were very similar in terms of fungal species suggesting that 10 years were not enough to establish a new dynamic equilibrium among ecosystem components. A better knowledge of soil biota and in particular of fungal community structure will be useful for the development of sustainable management strategies.

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Under the current paradigm, organic matter decomposition and nutrient cycling rates are a function of the imbalance between substrate and microbial biomass stoichiometry. Challenging this view, we demonstrate that in an individual-based model, microbial community dynamics alter relative C and N limitation during litter decomposition, leading to a system behaviour not predictable from stoichiometric theory alone. Rather, the dynamics of interacting functional groups lead to an adaptation at the community level, which accelerates nitrogen recycling in litter with high initial C : N ratios and thus alleviates microbial N limitation. This mechanism allows microbial decomposers to overcome large imbalances between resource and biomass stoichiometry without the need to decrease carbon use efficiency (CUE), which is in contrast to predictions of traditional stoichiometric mass balance equations. We conclude that identifying and implementing microbial community-driven mechanisms in biogeochemical models are necessary for accurately predicting terrestrial C fluxes in response to changing environmental conditions.

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The quality of distinctive artisanal cheeses is closely associated with the territory of production and its traditions. Pedoclimatic characteristics, genetic autochthonous variations, and anthropic components create an environment so specific that it would be extremely difficult to reproduce elsewhere. Pecorino cheese is included in this sector of the market and is widely diffused in Italy (∼62.000t of production in 2010). Pecorino is a common name given to indicate Italian cheeses made exclusively from pure ewes' milk characterized by a high content of fat matter and it is mainly produced in the middle and south of Italy by traditional procedures from raw or pasteurized milk. The microbiota plays a major role in the development of the organoleptic characteristics of the cheese but it can also be responsible for the accumulation of undesirable substances, such as biogenic amines (BA). Bacterial amino acid decarboxylase activity and BA content have to be investigated within the complex microbial community of raw milk cheese for different cheese technologies. The results emphasize the necessity of controlling the indigenous bacterial population responsible for high production of BA and the use of competitive adjunct cultures could be suggested. Several factors can contribute to the qualitative and quantitative profiles of BA's in Pecorino cheese such as environmental hygienic conditions, pH, salt concentration, water activity, fat content, pasteurization of milk, decarboxylase microorganisms, starter cultures, temperature and time of ripening, storage, part of the cheese (core, edge), and the presence of cofactor (pyridoxal phosphate, availability of aminases and deaminases). In fact physico-chemical parameters seem to favor biogenic amine-positive microbiota; both of these environmental factors can easily be modulated, in order to control growth of undesirable microorganisms. Generally, the total content of BA's in Pecorino cheeses can range from about 100-2400 mg/kg, with a prevalence of toxicologically important BA's, tyramine and histamine. The presence of BA is becoming increasingly important to consumers and cheese-maker alike, due to the potential threats of toxicity to humans and consequent trade implications.