Lactation represents a critical evolutionary adaptation in mammals, imposing heightened nutritional demands that drive shifts in foraging behavior and intestinal microbiota to optimize nutrient acquisition. In the sexually dimorphic Pratt's leaf-nosed bat (Hipposideros pratti), males exhibit enlarged transverse lobes posterior to the nasal leaf, a morphological trait may influence echolocation dynamics and dietary niche partitioning. This provides an opportunity to examine dietary and microbiota differences between genders and across various reproductive states. Using high-throughput sequencing of fecal samples from male (HPM), non-lactating female (HPF), and lactating female (HPFL) H. pratti collected in late June, we identified gender- and physiology-linked ecological strategies. While dietary diversity indices showed no significant intergroup differences, compositional analysis revealed distinct prey preferences: both HPM and HPFL predominantly consumed Coleoptera, whereas HPF favored Diptera. Coleoptera's larger size and nutrient profile-rich in leucine, isoleucine, and chitin-likely optimize energy efficiency for HPFL, reducing foraging effort while supplying amino acids critical for mammary gland function and immunity. Gender-based differences were observed in intestinal microbiota diversity, with females demonstrating higher diversity indices compared to males. Males showed a notable abundance of Clostridium sensu stricto 1, a proteolytic genus associated with Coleoptera digestion but linked to inflammatory risks via pathogenic strains. The HPFL group exhibited microbiota enriched in Lactococcus (chitinolytic taxa) and lactation-adapted symbionts: Lachnoclostridium may suppress pro-inflammatory responses via acetate production, while Pseudonocardia may enhance calcium homeostasis and antimicrobial defense. This study advances understanding of host-microbe coadaptation in mitigating life-history trade-offs and highlights ecological drivers of microbiota plasticity in insectivorous bats.

This study examined biofilm thickness, density, and microbial composition in a full-scale MABR treating municipal wastewater, focusing on their spatial and operational variability. The MABR cassette arrangement created a thickness gradient, with biofilms in the front cassettes more than twice as thick as those at the back. Lower scouring intensity due to reduced airflow resulted in thicker biofilms. Microbial communities varied longitudinally and by operational phase, with thicker biofilms having a higher relative abundance of anaerobic microorganisms, such as fermenters and sulfur reducers, and fewer aerobic nitrifiers. Nitrosomonas were the main ammonia oxidizers, while Nitrospira and Ca. Nitrotoga dominated as nitrite oxidizers. The 16S RNA gene profiles showed strong correlations with biofilm thickness (R2 = 0.8) and nitrification rates (R2 = 0.4). Full-scale MABR biofilm characteristics have not been studied before. Study findings have practical implications for better modeling practices and improved design of future MABR facilities.

Recycling nutrients by post-consumption food waste (PCFW) composting is impeded by the slow composting process because of the high perishability and moisture content of PCFW. Concerning this issue, a biochar-based microbial agent with trehalose as a protectant was developed, and was evaluated as inoculum in PCFW composting. Inoculation effectively ameliorated acidic conditions, accelerated organics degradation resulting in quick temperature rising, shortened maturation from 28 to 14 days, and altered the succession of the bacterial community structure. The combination of microbial consortium and biochar effectively inhibited the acid-producing bacteria Weissella and increased Bacillus, which contributed to a better condition for indigenous microbes by ameliorating the acidic condition of PCFW. This further expedited temperature rising that selectively enriched Firmicutes (Bacillus, Compostibacillus, Novibacillus) and Actinobacteria (Pseudonocardia) at the thermophilic stage. Moreover, carbon cycle was strengthened by chemoheterotrophy and aerobic chemoheterotrophy, while fermentation was inhibited, which was in favor of organic material degradation. The addition of 5% trehalose further enhanced the effect, and increased germination index to 152% at day 14. This study suggested that a biochar-based microbial agent was an efficient inoculant specifically for PCFW composting.

Coal-bearing karst areas are widely distributed around the world. Coal mining and tunnel construction significantly disturb the natural hydrological cycle and redox environment, leading to spatial variability in hydrochemistry and environmental pollution. Common environmental pollution in coal-bearing karst regions is the elevated sulfate content and the effusion of hydrogen sulfide. This study utilizes hydrochemical, isotope, and microbiological analysis methods to examine the hydrochemical characteristics of groundwater and determine the diversity, population structure, and functional activities of sulfur-associated microbial communities in different locations of underground engineering. Ultimately, based on comprehensively considering the hydrogeological factors such as recharge, water flow system, hydrodynamic characteristics, aquifer characteristics, microbiological characteristics, and underground engineering, the hydrochemical characteristics formation mode of the study area has been proposed. The study provides insights into sulfur biogeochemical processes, aiding efforts to mitigate mine water pollution and hydrogen sulfide issues in these regions.

Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacterial community functions in lakes remain elusive. In this study, we identified 33 different MPs features including their abundance, shape, color, size, and polymer type, from Taihu Lake, China. These features were used to construct 48 machine learning models, utilizing four types of machine learning regression algorithms, to investigate how different MP features influence human health, carbon/nitrogen cycling, and energy source-related functions of bacterial communities. The XGBoost models provided the best performance with an average R2 of 0.85 in explaining the abundance of functions. Yellow-, fragment-, and polyethylene terephthalate (PET) MPs were the most important features by Shapley values. Yellow- and PET-MPs mainly had primarily negative impacts on human pathogens pneumonia and chemoheterotrophy, respectively. Fragment-MPs had a primarily positive impact, which shifted from positive to negative at a proportion of 0.5 for methanol oxidation. Moreover, MPs may affect community structure by filtering for functional traits. These findings are important for understanding the effects of MP pollution on bacterial community function and its role in the global carbon and nitrogen cycling and human health and help us to determine the potential impacts of MP pollution on ecosystems.

Biodegradable mulch films (BDMs) are becoming increasingly popular in agriculture and are emerging as an alternative to conventional polyethylene (PE) films. However, the intricate details surrounding the establishment and growth of microorganisms on BDMs and PE during their degradation in agricultural fields remain unclear. In this study, the succession of bacterial communities in farmland soil and the plastispheres of PE and BDMs were compared through 16S rRNA gene high-throughput sequencing and real-time PCR. The results unveiled noteworthy distinctions in bacterial community structures across different samples. Specifically, the α-diversity in the BDM plastispheres was markedly lower than in the PE plastisphere. Hydrogenophaga and Variovorax genera were abundantly present in the BDM plastisphere, whereas Mycobacterium demonstrated significant enrichment in the PE plastisphere. Functional annotations indicated high abundances of degradation-related and pathogen-related functions in both BDM and PE plastispheres. Furthermore, the BDM plastisphere exhibited lower network complexity and modularity and stronger competitive interactions than the PE plastisphere. The conducted iCAMP analysis showed that stochastic community assembly processes largely govern the PE plastisphere, while deterministic processes prevailed in BDMs and increased significantly over time. These findings shed light on different mulching materials' effects in farmland ecosystems and provide insights into potential ecological risks linked to their usage.

Dry socket is a common post-extraction complication, characterized by the exposure of bone surfaces to the oral environment, leading to severe pain and potential infection. This study investigates the relationship between oral microbial composition and dry socket incidence in tooth extraction patients.

From 87 patients (56 normal healing, 31 dry socket), 321 microbial samples were collected at pre-, med-, and post-extraction stages from saliva and the extraction sites, and all information was documented. All samples underwent 16S rDNA sequencing and amplicon analysis.

Dry socket patients exhibited distinct oral microbial diversity and composition. Prevotella, Fusobacterium, and Haemophilus strongly associated with the occurrence of dry socket. The microbial profiles in saliva revealed clearer temporal changes and healing/dry socket distinctions. The microbial network in the saliva of patients with dry socket exhibited key node/edge differences between med/post stages. Random forest analysis using pre-extraction saliva microbes to predict post-extraction symptoms, achieving a 75% accuracy rate in identifying the healthy group.

Haemophilus and Fusobacterium were key microbes in dry socket development and prediction. Functional changes caused by alterations in microbial composition and structure might have been the reason for the different symptoms observed after tooth extraction.

This study focuses on treating phenolic wastewater with a novel closed fixed-bed bacteria-algae biofilm reactor (CF-BABR) to enhance resource transformation for phenolic substances. The CF-BABR showed strong impact - load resistance and stable degradation efficiency, fully degrading phenolic compounds at concentrations from 0 to 150 mg/L. From the inflow to the outflow, the effective sequences, abundance, and diversity of bacteria decreased. Chlorobaculum was the dominant bacterium for phenolic pollutant degradation. The abundance of fungi decreased gradually, while their diversity increased. Kalenjinia and Cutaneotrichosporon played a synergistic role in reducing pollutant toxicity. The high - concentration pollutants at the influent led to a higher abundance of microalgal communities, and Scenedesmaceae became the most dominant algal family, which was positively correlated with the degradation of phenolic compounds. Functional gene prediction indicated that the abundance of functional genes in bacteria decreased overall along the wastewater flow. Carbohydrate metabolism and amino acid metabolism were the most active secondary pathways. In fungi, the predicted gene functions had the highest abundance in the upstream region. Metabolic intermediates such as organic acids and derivatives, lipids and lipid - like molecules, and carboxylic acids and derivatives demonstrated the degradation effect of CF-BABR on phenolic compounds.

Glyphosate (GLP) is a globally ubiquitous herbicide that poses a threat to living organisms due to its widespread presence in soil ecosystems. However, the results of current research regarding the effects of glyphosate on soil microorganisms and its ecological risks are vague and inconsistent. In this study, we investigated the impact of single (low/high-dose) and reapplication (high-dose) of glyphosate applications on soil microbes through indoor incubation experiments using 16S rRNA gene high-throughput sequencing technology. Our findings indicate that in the short term, whether it's single or reapplication glyphosate applications, changes in diversities of soil bacterial community were less than those in community composition. Glyphosate exerts selective pressure on soil microbial communities, resulting in a predominant process of species replacement after glyphosate application, and quantitative analysis revealed a higher turnover rate of microbial communities under glyphosate reapplication. Factors related to nitrogen cycling, especially NH4+-N and NO3--N, were identified as the main drivers responsible for the changes in soil microbial community composition following glyphosate addition. Changes in the functionality of soil microbial communities are observed after glyphosate application, with the adaptability of microbial communities resulting in smaller changes with reapplication addition compared to a single application. Furthermore, We observed that glyphosate application leads to a phenomenon resembling the "fitness cost" found in resistant bacteria. When glyphosate as a single application, it has a significant impact on bacterial communities, leading to decreased community diversity, stability, and function, alongside alterations in community structure, however, the effect can be mitigated by reapplying glyphosate.

Hot spring microbial mats represent intricate biofilms that establish self-sustaining ecosystems, hosting diverse microbial communities which facilitate a range of biochemical processes and contribute to the structural and functional complexity of these systems. While community structuring across mat depth has received substantial attention, mechanisms shaping horizontal spatial composition and functional structure of these communities remain understudied. Here, we explored the contributions of species source, local environment and species interaction to microbial community assembly processes in six microbial mat regions following a flow direction with a temperature decreasing from 73.3°C to 52.8°C. Surprisingly, we found that despite divergent community structures and potential functions across different microbial mats, large proportions of the community members (45.50%-80.29%) in the recipient mat communities originated from the same source community at the upper limit of temperature for photosynthetic life. This finding indicated that the source species were dispersed with water and subsequently filtered and shaped by local environmental factors. Furthermore, critical species with specific functional attributes played a pivotal role in community assembly by influencing potential interactions with other microorganisms. Therefore, species dispersal via water flow, environmental variables, and local species interaction jointly governed microbial assembly, elucidating assembly processes in the horizontal dimension of hot spring microbial mats and providing insights into microbial community assembly within extreme biospheres.

Seaweed feed offers a promising approach to enhance sustainability in aquaculture. While much research has focused on its effects on aquatic organisms, the impact of seaweed feed residuals on sediment carbon sequestration and bacterial community dynamics remains underexplored. This study aimed to address this gap through a 96-day incubation experiment using sediment from the coastal wetlands of Zhuhai in southern China. We evaluated the effects of seaweed feed derived from the red seaweed Gracilaria lemaneiformis by analyzing temporal changes in sediment physicochemical properties and microbial community dynamics. Our findings reveal that seaweed feed significantly improved sediment organic carbon and nitrogen storage (p < 0.01), enhanced the recovery of dissolved oxygen levels (p < 0.001) and bacterial α-diversity (p < 0.01) compared to normal feed. Additionally, the variability in microbial community structure (p < 0.01) and functional potential (p < 0.05) due to seaweed feed was less pronounced than that caused by normal feed. This reduced variability may result from the role of seaweed feed in stabilizing microbial community assembly, which helps mitigate fluctuations in bacterial structure and function. Overall, this study offers valuable insights for managing aquaculture ponds and coastal wetlands, contributing to the understanding of seaweed carbon sequestration and highlighting the potential of seaweed feed as a significant carbon sink beyond traditional cultivation practices.

Understanding the responses of desert microbial communities to escalating precipitation changes is a significant knowledge gap in predicting future soil health and ecological function. Through a five-year precipitation manipulation experiment, we investigated the contrasting eco-evolutionary processes of desert bacteria and fungi that manifested in changes to the assembly and potential functions of the soil microbiome. Elevated precipitation increased the alpha diversity and network complexity of bacteria and fungi, proportion of non-dominant phyla, and abundance of carbon- and nitrogen-fixing bacteria and saprophytic, symbiotic, and pathogenic fungi. Conversely, decreased precipitation reduced the alpha diversity and network complexity of bacteria and fungi while increasing the proportion of non-dominant phyla, stability of the network, and abundance of functional genes related to carbon and nitrogen degradation, nitrification, and ammonification. This suggests that soil microbes may attenuate the negative effects of reduced precipitation by streamlining communities, enhancing carbon and nitrogen acquisition, and promoting nitrogen cycling. Furthermore, we revealed that soil properties and vegetation attributes explained approximately 27.86%-37.75% and 17.76%-22.84% of the variation in bacterial and fungal communities, respectively. Finally, we demonstrated that precipitation-driven soil nutrient content and vegetation attributes are the potentially critical factors in shaping the soil microbial assembly and functions. These findings provide a foundation for understanding the response of desert soil microbes to escalating climate change.

Pine wilt disease (PWD), caused by pinewood nematodes, is highly destructive to pine forests in Asia and Europe, including Korean white pine (Pinus koraiensis). The microbiome in the needles and trunk of Pinus spp. are recognized to play key roles in resistance against PWD. However, the role of root and soil microbiomes in the resistance remains unclear. This study compares bacterial and fungal communities in the root endosphere, rhizosphere soil, and bulk soil of diseased versus healthy P. koraiensis. Results showed that PWD increased the α-diversity of fungi in rhizosphere soil but did not affect the microbial diversity in the root endosphere or bulk soil. The composition of bacterial and fungal communities in rhizosphere and bulk soils was significantly altered by PWD. Specifically, the relative abundance of Planctomycetes decreased, and the relative abundance of Tremellomycetes increased, while Agaricomycetes decreased in both rhizosphere and bulk soils after infestation with PWD, respectively. Relative abundances of Chloroflexi and Verrucomicrobia increased, while Proteobacteria decreased in bulk soil following PWD. Relative abundances of Leotiomycetes and Eurotiomycetes increased in the rhizosphere soil and bulk soil following PWD, respectively. Furthermore, with the host plant infestation by PWD, the relative abundance of ectomycorrhizal fungi decreases, while that of saprotrophic fungi increases in both rhizosphere and bulk soils. Our results revealed that PWD significantly affects the soil microbiomes of P. koraiensis, with varying impacts across different plant-soil compartments. This study provides insights into how root and soil microbiomes respond to PWD, enhancing our understanding of the disease's ecological consequences.IMPORTANCEThe belowground microbiome is often sensitive to infection of forest diseases and is also recognized as a potential reservoir for selection of microbial agents against PWD. Our study demonstrates that the dynamics of belowground microbiome following natural infection of PWD are compartment and taxa specific, with varying degrees of responses in both diversity and composition of bacterial or fungal communities across the root endosphere, rhizosphere soil, and bulk soil. The results highlight the importance of utilizing appropriate plant-soil compartments and microbial taxa to understand the ecological consequences of the destructive PWD.

Non-continuous flooding irrigation practices, such as alternate wetting and drying (AWD) and mid-season drainage (MSD), have been implemented in rice agroecosystems to reduce water use and mitigate climate change. Draining fields reduces methane (CH4) emissions, as soil aeration decreases the abundance and activity of soil methanogens. Mitigation effects during the growing season have been widely studied. However, there is a knowledge gap regarding potential effects these growing season practices might have on subsequent fallow season emissions. This is relevant when assessing overall annual CH4 emissions, particularly in systems in which fallow seasons account for a significant part of these. A field experiment was implemented in the Ebro Delta region (Catalonia, Spain) with the objective of identifying potential effects of growing season AWD and MSD on CH4 emitted during the following flooded fallow season, in comparison to continuously flooded fields. Both emissions and the structure of soil microbial communities were analyzed for rice field plots under the assessed irrigation strategies during the growing season and later for a continuously flooded mesocosm across the fallow season. Both practices achieved an average 86% decrease in CH4 fluxes when compared to continuous flooding during the growing season. AWD resulted in the highest fallow season emissions, leading to increases in overall annual cumulative CH4 emissions (+8%), global warming potential (+30%) and yield-scaled global warming potential (+70%) compared to continuous flooding. Growing season AWD decreased the relative abundance of both methanogens and methanotrophs in the fallow season. Reduced methanotroph communities might lead to lower CH4 consumption, resulting in higher fallow season emissions and offsetting the mitigation effect achieved during the growing season. Under the studied conditions, MSD represented a more effective mitigation strategy. These results highlight the importance of considering both rice growing and fallow season when assessing climate change mitigation strategies.

Graphene has garnered significant attention due to its unique and remarkable properties. The widespread application of graphene materials in numerous fields inevitably leads to their release into the environment. This study examines the long-term impacts of graphene on anaerobic sequencing batch reactors. The low-concentration graphene (5 mg L-1) exhibited a significant inhibitory effect on the removal of chemical oxygen demand, while the high-concentration group (100 mg L-1) was less affected. The transmission electron microscopy and Raman spectroscopy results demonstrated that the anaerobic sludge could attack graphene materials, and cell viability tests showed that high concentrations of graphene were more conducive to microbial attachment. High-throughput sequencing revealed significant alterations in the microbial community structure under graphene pressure. Methanobacterium and Actinomyces gradually became the dominant genera in the high-concentration group. Network analysis showed that graphene increased the complexity and interaction of microbial communities. Additionally, high-throughput qPCR analysis demonstrated that graphene influenced the dynamics of antibiotic resistance genes, with most exhibiting increased abundance over time, especially in the low-concentration group. Consequently, when considering the application of graphene in wastewater treatment, it is crucial to evaluate potential risks, including its effects on system performance and the likelihood of antibiotic resistance gene enrichment.

The oral microbiota is associated with neuro-psychiatric disorders. However, there is presently inadequate comprehension regarding the correlation between schizophrenia and the oral microbiota. Moreover, patients with schizophrenia frequently exhibit poor oral health, potentially influencing research outcomes. Therefore, this study aims to investigate changes in the oral microbiota and oral health status in drug-free schizophrenia patients.

Oral microbiota samples were collected from 50 drug-free patients with schizophrenia and 50 healthy controls (HCs). The downstream microbiota analysis was based on Illumina sequencing of the V3-V4 hypervariable region of the 16 S rRNA gene.

The alpha diversity of SCZ group is increased, such as the Shannon index (p < 0.001) and Simpson index (p = 0.004), while the community structure also displays variance compared to the HC group (p < 0.001). Key discriminative taxa were found in LEfSe analysis, including the phyla Fusobacteriota, Firmicutes, and Actinobacteriota. The differential taxa and microbial functions showed a strong correlation with clinical oral conditions. Further analysis demonstrated that models based on the entire oral microbiota effectively distinguished SCZ patients from HC (AUC = 0.97).

The significant changes in the microbiota of Drug-free SCZ patients appear to be closely associated with the poor oral environment.

Diet can impact host health through changes to the gut microbiota, yet we lack mechanistic understanding linking nutrient availability and microbiota composition. Here, we use thousands of microbial communities cultured in vitro from human stool to develop a predictive model of community composition upon addition of single nutrients from central carbon metabolism to a complex medium. Among these communities, membership was largely determined by the donor stool, whereas relative abundances were determined by the supplemental carbon source. The absolute abundance of most taxa was independent of the supplementing nutrient due to the ability of a few organisms to quickly exhaust their niche in the complex medium and then exploit and monopolize the supplemental carbon source. Relative abundances of dominant taxa could be predicted from the nutritional preferences and growth dynamics of species in isolation, and exceptions were consistent with strain-level variation in growth capabilities. Our study reveals that assembly of this community of gut commensals can be explained by nutrient utilization dynamics that provide a predictive framework for manipulating community composition through nutritional perturbations.

Seagrass transplantation significantly alters sediment microbial communities, shaping their composition and metabolic functions. One year after Zostera marina transplantation, the microbial community structure and functions at the recipient site began shifting toward those of the donor site. Key microbial taxa associated with seagrass meadow sediment, such as Firmicutes (Hungateiclostridiaceae, Defluviitaleaceae) and Campylobacterota (Sulfurovum), increased in abundance, correlating with sediment organic matter content and carbon availability. Four functional groups were identified, each with distinct metabolic roles: (1) Opportunistic Anaerobic Degraders, (2) Seagrass-Driven Carbon Recyclers, (3) Anaerobic Fermenters and Hydrocarbon Recyclers and (4) Oxygen-Linked Carbon and Sulfur Cyclers. The sediments of transplanted Z. marina meadows exhibited increased cellulolysis and aerobic chemoheterotrophy, along with a reduction in nitrogen metabolism one year post transplant. Despite these microbial shifts, sediment isotopic signatures remained indicative of algal biomass, suggesting an incomplete transition toward a mature seagrass environment. Multivariate analysis further confirmed that the microbial community at the recipient site had not yet fully converged with that of the donor meadow, indicating that complete sediment maturation may require longer timescales. These findings demonstrate that microbial community composition and functional annotations serve as early indicators of seagrass restoration success. Long-term monitoring is essential to track ecosystem recovery and assess the stabilization of sediment conditions.

Tetraena mongolica was established in the West Ordos Region of northwest China approximately 140 million years ago. It plays an irreplaceable role in maintaining local ecosystem stability.

This study aimed to evaluate the effects of planting T. mongolica on soil nutrition and microbial communities by comparing the root zone soil (Rz_soil) and bare soil (B_soil) across three different plant communitie.

The results showed that T. mongolica decreased soil pH and Na+ while increasing available potassium, soil organic matter, organic carbon, total nitrogen, and potassium. T. mongolica significantly improved the diversity indices (Sobs and Ace), as well as the richness index (Chao), of bacterial and fungal communities across three plant communities. Meanwhile, the relative abundances of Rubrobacter and norank_c_Actinobacteria in the bacterial communities declined significantly in the Rz_soil compared with the B_soil across all three plant communities. In contrast, the relative abundances of Fusarium and Penicillium were higher, whereas those of Monosporascus and Darksidea were lower in Rz_soil than in B_soil in the two plant communities. T. mongolica decreased the soil bacterial co-occurrence networks while increasing the soil fungal co-occurrence networks.

These results provide a new perspective to understand the role of T. Mongolica in the desert ecosystems.

To support the sustainable development of rice and aquaculture industries, various rice-animal coculture systems have been developed. One such system, the rice-crab coculture system (RCC), has been practiced for decades in northern China. However, studies on the crab physiological status in RCC remain limited. Microorganisms play a crucial role in aquaculture by influencing animal nutrition, health, nutrient cycling, water quality, and environmental impact. Research on the gut and environmental microbiota in RCC is scarce.

This study compared the growth performance, immune and digestive enzyme activities of crabs between RCC and traditional pond farming system (PF). In addition, the microbiota in crab guts, water, and sediment from both systems was investigated using 16S rRNA gene sequencing.

Crabs in RCC exhibited superior growth performance and higher enzymatic activities, including acid phosphatase (ACP), alkaline phosphatase (AKP), lipase (LPS), and trypsin (TRY). Significant differences were observed in microbiota composition across crab gut, water, and sediment samples, respectively. RCC crabs had a lower abundance of Bacteroidota and a higher abundance of Firmicutes in their gut microbiota. The RCC environment was enriched with beneficial bacteria such as Rhizobiales, Methylococcales, KD4-96, C39, Xanthomonadales, and Nitrosomonadaceae. Microbial function predictions confirmed enhanced methanotrophy and nitrogen fixation in the RCC.

The RCC enhances the growth rate and immune capability of crabs. Crabs from RCC consume more animal-based nutrition, which results in distinct differences in gut microbiota composition and higher levels of LPS and TRY compared to those in PF. Additionally, RCC supports environmentally beneficial bacteria that contribute to greenhouse gas reduction, carbon and nitrogen fixation, organic matter decomposition, and ammonia oxidation, benefiting both the crabs and their ecosystem. These findings enhance our understanding of crab physiology and microbial communities in RCC and PF systems.

Microbial community assembly and interactions are pivotal research areas within microbial ecology, yet relevant studies in seagrass rhizospheres and phyllosphere remain relatively scarce. In this study, we utilized high-throughput sequencing technology to investigate the microbial communities in different periods and microhabitats (rhizosphere and phyllosphere) of two seagrass species (Zostera marina and Phyllospadix iwatensis). Our findings suggest that microhabitats have a more pronounced impact on the composition of seagrass-associated microbial communities compared to periods and species. Further investigations reveal that the phyllosphere microbial community exhibits a more intricate co-occurrence network and interactions than the rhizosphere microbial community. Keystone taxa show distinct functional roles in different microhabitats of seagrasses. Additionally, we observed that differences in seagrass microhabitats influence community assembly, with the rhizosphere microbial community being more influenced by deterministic processes (heterogeneous selection) compared to the phyllosphere. These findings contribute to our understanding of the intricate interactions between seagrasses and their associated microbial communities, providing valuable insights into their distribution patterns and microhabitat preferences.IMPORTANCEStudying the community structure and assembly of different microhabitats in seagrass beds contributes to revealing the complexity and dynamic processes of seagrass ecosystems. In the rhizosphere microhabitat of seagrasses, microbial communities may assist in disease resistance or enhance nutrient uptake efficiency in seagrasses. On the other hand, in the microhabitat on the surface of seagrass blades, microorganisms may be closely associated with the physiological functions and nutrient cycling of seagrass blades. Therefore, understanding the structure and assembly mechanisms of rhizosphere and phyllosphere microbial communities is crucial for exploring the interactions between seagrass and microbial communities, as well as for enhancing our comprehension of the stability and resilience of seagrass bed ecosystems.

Many microbes disperse through the air, yet the phenotypic traits that enhance or constrain aerial dispersal or allow successful colonization of new habitats are poorly understood. We used a metabarcoding bacterial and eukaryotic data set to explore the trait structures of the aquatic, terrestrial, and airborne microbial communities near the Salton Sea, California, as well as those colonizing a series of experimental aquatic mesocosms. We assigned taxonomic identities to amplicon sequence variants (ASVs) and matched them to functional trait values through published papers and databases that infer phenotypic and/or metabolic traits information from taxonomy. We asked what traits distinguish successful microbial dispersers and/or colonizers from terrestrial and aquatic source communities. Our study found broad differences in taxonomic and trait composition between dispersers and colonizers compared to the source soil and water communities. Dispersers were characterized by larger cell diameters, colony formation, and fermentation abilities, while colonizers tended to be phototrophs that form mucilage and have siliceous coverings. Shorter population doubling times, spore-, and/or cyst-forming organisms were more abundant among the dispersers and colonizers than the sources. These results show that the capacity for aerial dispersal and colonization varies among microbial functional groups and taxa and is related to traits that affect other functions like resource acquisition, predator avoidance, and reproduction. The ability to disperse and colonize new habitats may therefore distinguish microbial guilds based on tradeoffs among alternate ecological strategies.IMPORTANCEMicrobes have long been thought to disperse rapidly across biogeographic barriers; however, whether dispersal or colonization vary among taxa or groups or is related to cellular traits remains unknown. We use a novel approach to understand how microorganisms disperse and establish themselves in different environments by looking at their traits (physiology, morphology, life history, and behavior characteristics). By collecting samples from habitats including water, soil, and the air and colonizing experimental tanks, we found dispersal and invasion vary among microorganisms. Some taxa and functional groups are found more often in the air or colonizing aquatic environments, while others that are commonly found in the soil or water rarely disperse or invade new habitat. Interestingly, the traits that help microorganisms survive and thrive also play a role in their ability to disperse and colonize. These findings have significant implications for understanding microorganisms' success and adaptation to new environments.

This study investigated the combined and interactive effects of sulfate, salinity (NaCl), and ammonium on mesophilic anaerobic digestion using synthetic wastewater simulating concentrated municipal wastewater from the forward osmosis (FO) process. Batch anaerobic digestion experiments were conducted with varying concentrations of sulfate, NaCl, and ammonium. Complete sulfate reduction was observed in all test systems, regardless of the NaCl and ammonium concentration, indicating no significant inhibitory effect on sulfate-reducing bacteria (SRB). However, the increased toxicity of hydrogen sulfide produced by SRB under high concentrations of sulfate, NaCl, and ammonium inhibited methanogenic activity, resulting in reduced methane production. Despite this, methanogens, primarily Methanosarcina, tolerated low and moderate levels of sulfate, NaCl, and ammonium; thus, their coexistence with SRB (Desulfotomaculales) enabled efficient acetate utilization and methane production. The enhanced Methanosarcina activity was further confirmed through the antagonistic effects between NaCl and ammonium. No significant decrease in methane production was observed in the co-presence of 0.5 g/L sulfate, 10 g/L NaCl, and 1 g/L ammonium-nitrogen compared to the reference condition without the addition of these components. This study identified the inhibitory mechanisms resulting from sulfate, NaCl, and ammonium interactions, which may occur in FO-concentrated municipal wastewater. These findings offer insights for optimizing the FO process to maintain sulfate, NaCl, and ammonium concentrations below inhibitory levels, thereby ensuring efficient methane production.

Dissolved organic matter (DOM) constitutes the largest active carbon pool on earth, playing a crucial role in numerous biogeochemical processes. Understanding the molecular characteristics and chemical properties of DOM is essential for comprehending the global carbon cycle. However, there is a lack of systematic understanding regarding the influence of periodic flooding and drying, caused by reservoir operations, on the sources, characteristics and stability of soil DOM in the drawdown area, as well as the biotic and abiotic processes regulating DOM changes. This study employs Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and 16S rRNA sequencing to investigate the variations in molecular and compound composition of soil DOM at different elevations in the drawdown area of the Three Gorges Reservoir, and their associations with microbial communities. The results indicate that with the increasing duration of flooding, the proportion of easily degradable DOM gradually increases in the drawdown area soils, while the proportion of refractory DOM decreases. Periodic flooding and drying enhance the microbial authigenic components of DOM, reduce the plant-derived DOM components, and significantly decrease the stability, aromaticity, and unsaturation of soil DOM. Soil DOM engages in the biogeochemical processes of the drawdown area ecosystem through coupled changes with bacteria and archaea, and changes in soil DOM result in variations in microbial necromass carbon and lignin phenol content at different elevations. The findings are significant for deepening the understanding of the biogeochemical processes involving soil DOM in drawdown areas.

The increasing frequency and intensity of extreme climate events are driving significant biodiversity shifts across ecosystems. Yet, the extent to which these climate legacies will shape the response of ecosystems to future perturbations remains poorly understood. Here, we tracked taxon and trait dynamics of rocky intertidal biofilm communities under contrasting regimes of warming (fixed vs. fluctuating) and assessed how they influenced stability dimensions in response to temperature extremes. Fixed warming enhanced the resistance of biofilm by promoting the functional redundancy of stress-tolerance traits. In contrast, fluctuating warming boosted recovery rate through the selection of fast-growing taxa at the expense of functional redundancy. This selection intensified a trade-off between stress tolerance and growth further limiting the ability of biofilm to cope with temperature extremes. Anticipating the challenges posed by future extreme events, our findings offer a forward-looking perspective on the stability of microbial communities in the face of ongoing climatic change.

The community of microorganisms inhabiting a specific environment, such as the human gut - including bacteria, fungi, archaea, viruses, protozoa, and others - is known as the microbiota. A holobiont, in turn, refers to an integrated ecological unit where microbial communities function and interact with their host, thus is a more integrative concept. To understand the processes involved, the diversity of microorganisms present must be identified and their molecular components quantified, especially proteins. Indeed, proteins - through their roles as catalytic units, structural components, and signaling molecules - are the main drivers of biological processes. Metagenomics has significantly expanded what we know about the genetic material present in microbiota, revealing their functional potential; metabolomics delivers an overall snapshot of the metabolites produced by the community. But metaproteomics offers a complementary approach to explore microbiome and holobiont functionality by focusing on the active proteins and functional pathways from each taxon. Significant recent advances in high-resolution tandem mass spectrometry have greatly expanded the catalog of peptide sequences accessible in each sample, creating the conditions for unprecedented taxonomical profiling, while also providing more accurate biomass quantification, more detailed protein characterization, and a greater capacity to monitor abundance and distinguish host biomarkers. By integrating artificial intelligence into the metaproteomics pipeline, extended datasets can now be efficiently mined to gain a more comprehensive functional view of complex biological systems, paving the way for next-generation metaproteomics. In this perspective, I discuss the transformative potential of this methodology. We are on the cusp of a remarkable omic revolution that promises to uncover the intricate workings of microbiomes by producing a vast array of new knowledge with multiple applications. SIGNIFICANCE: Metaproteomics provides a powerful lens to investigate microbiome and holobiont functionality by identifying and quantifying active proteins and functional pathways within each taxon. Recent breakthroughs in high-resolution tandem mass spectrometry have dramatically expanded the repertoire of peptide sequences detectable per sample. This progress enables unprecedented taxonomic resolution for microbial identification, more precise biomass quantification, comprehensive protein characterization, abundance monitoring, and the unique identification of host biomarkers. In this commentary, I delve into the distinctive features that make metaproteomics a transformative tool. I discuss the recent advancements in tandem mass spectrometry and argue that the primary challenge in analyzing complex samples is shifting from data acquisition to data interpretation. With the integration of artificial intelligence, I believe next-generation metaproteomics is poised to become the next Big Thing in microbiome research, unlocking profound insights into microbial functionality and ecosystem dynamics.

Microorganisms are the biotic foundation for nutrient cycling across ecosystems, and their assembly is often based on the nutrient availability of their environment. Though previous research has explored the seasonal lake turnover and geochemical cycling within the Salton Sea, California's largest lake, the microbial community of this declining ecosystem has been largely overlooked. We collected seawater from a single location within the Salton Sea at 0 m, 3 m, 4 m, 5 m, 7 m, 9 m, 10 m, and 10.5 m depths in August 2021, December 2021, and April 2022.

We observed that the water column microbiome significantly varied by season (R2 = 0.59, P = 0.003). Temperature (R2 = 0.27, P = 0.004), dissolved organic matter (R2 = 0.13, P = 0.004), and dissolved oxygen (R2 = 0.089, P = 0.004) were significant drivers of seasonal changes in microbial composition. In addition, several halophilic mixotrophs and other extremotolerant bacteria were consistently identified in samples across depths and time points, though their relative abundances fluctuated by season. We found that while sulfur cycling genes were present in all metagenomes, their relative coverages fluctuated by pathway and season throughout the water column. Sulfur oxidation and incomplete sulfur oxidation pathways were conserved in the microbiome across seasons.

Our work demonstrates that the microbiome within the Salton Seawater has the capacity to metabolize sulfur species and utilize multiple trophic strategies, such as alternating between chemorganotrophy and chemolithoautrophy, to survive this harsh, fluctuating environment. Together, these results suggest that the Salton Sea microbiome is integral in the geochemical cycling of this ever-changing ecosystem and thus contributes to the seasonal dynamics of the Salton Sea. Further work is required to understand how these environmental bacteria are implicated relationship between the Salton Sea's sulfur cycle, dust proliferation, and respiratory distress experienced by the local population.

Microbial inoculant is widely used in plant growth and crop production. However, the effect of native mixed microbial inoculants on soil microbiota and plant growth remain to be elucidated. Here, we used pot experiment for 5 months to determine the microbial inoculants treatments with growth-promoting effect on Cajanus cajan, such as M1P (Serratia marcescens) treatment and M1H treatment: the mixture of M1P and M45N (Paenibacillus polymyxa), and investigate the effect of these inoculants on the capacity of soil nutrients and rhizosphere microbiomes in promoting C. cajan growth. Further, the adaptability of these strains to environmental stress (temperature and pH) was determined by using stress-resistant growth experiment. The results showed that M1H treatment resulted in soil nutrients consumption and led to substantial alterations in the microbial community that were more effective in promoting C. cajan growth. The enhanced plant growth observed with M1H inoculation may be due to its impact on the soil micro-environment, particularly through increasing beneficial genera (e.g., Cunninghamella, Mortierella, Chryseolinea, and Bacillus) and decreasing potential genera (e.g., Zopfiella and Podospora). In addition, at the genus level (top 10), the effect of M1H inoculation on soil fungal community was higher than that of bacteria, which shows that the change of soil fungal community after M1H inoculation was more sensitive than that of bacteria. Spearman correlation analysis further revealed that the abundance of Cunninghamella, Mortierella, Chryseolinea, Zopfiella and Podospora were the key factors affecting C. cajan growth. Moreover, FUNGuild function prediction clearly indicated distinct differences in the fungal functions of CK, MIP and M1H treatment, in which a lower relative abundance of saprotroph fungi in M1H treatment compared to CK, these results may confirmed the possibility of decreasing the abundance of Zopfiella and Podospora under M1H treatment. Taken together, our findings highlight the role of M1H inoculant in promoting C. cajan growth and ameliorating soil health, and providing valuable insight of using native mixed microbial inoculants to cultivate C. cajan and optimize soil micro-environment.

Identifying the wildlife reservoirs of bacterial pathogens, spatially and temporally, is important for assessing the threats to human and the rest of the biosphere. Our objective was to study Europe-wide characteristics of the fecal microbiota of four highly mobile migratory vertebrates, that is, one bat (Pipistrellus nathusii) and three bird species (Turdus merula, Anas platyrhynchos, Columba palumbus). The 351 sample PacBio data set of almost the entire 16S rRNA gene with 438,997 amplicon sequence variants (ASVs) assigned 3,277 bacterial species. A significant proportion of the ASVs were assigned to bacterial genera having species pathogenic to human or animals. These pathogen ASVs accounted for 45% of all the ASVs and statistically were more frequent at higher latitudes and in younger age groups. In 36 samples, more than >90% of all the PacBio reads were assigned to these pathogenic genera. We designate to individuals of these samples a new term, that is, a pathogen bloomer. The pathogen bloomers, which did not display apparent macroscopic disease symptoms, were detected in Nathusius bat (n = 8; Finland and Latvia), blackbird (n = 6; Finland, Latvia and Denmark), and wood pigeon (n = 22; Finland and France), but not in mallard. Key species-level taxonomic assignments in the pathogen bloomers were the two well-known enteropathogens (Campylobacter jejuni or Escherichia coli) and one emerging enteropathogen (Escherichia marmotae). Our data imply that the studied common migratory vertebrates may contribute to the transmission of bacterial pathogens across the European continent.

The understanding of gut microbiota composition and dynamics in wild vertebrate populations, especially in highly mobile vertebrates, birds and bats, remains limited. Our study sheds light on the critical knowledge gap in how common pathogenic bacterial taxa of fecal microbiota are in migratory bats and birds in Europe. We found out that bacterial genera having species pathogenic to human or animals constituted a substantial portion of the fecal microbiota in all the studied host taxa. Most importantly, we identified asymptomatic individuals that were dysbiotic with bacterial pathogen overgrowth. These previously unknown pathogen bloomers appear as potent Europe-wide transmitters of bacterial pathogens, which cause, for example, diarrhea and bacteremia in human. Our findings may contribute to better understanding of seasonal disease hotspots and pathogen spillover risks related to migratory vertebrates.

The opposite geochemical behaviors of cadmium (Cd) and arsenic (As) in paddy fields lead to challenges in the simultaneous mitigation of Cd and As accumulation in rice (Oryza sativa L.) grains. In this study, an industrial byproduct Fe-based S-rich material (Fe-S-Mat) was used to mitigate As and Cd accumulation in the soil-rice continuum that conferred toxicity relief in rice seedlings. We found that Fe-S-Mat application reduced root Cd and As contents by 34.0%-59.0% and 75.5%-85.9%, respectively, and shoot Cd and As contents by 29.4%-50.9% and 22.9%-39.3%, compared to the control. Cd and As contents in the soil solution decreased by 39.6%-61.3% and 34.3%-44.7%, as both elements shifted from the active acid-extractable fractions to more stable forms. Moreover, the results of scanning electron microscopy and transmission electron microscopy showed that the adverse effects on root meristem cell wall swelling and incomplete nuclear structure almost disappeared. Importantly, the bacterial community structure and functional prediction in the rhizosphere revealed that Fe-S-Mat treatments increased the chemoheterotrophic pathway microbial populations by an average of 91.7% and enhanced resistance to As, including nitrate reduction, sulfate and iron respiration functions. These findings will shed light on the future selection and development of multipurpose passivators for the safe production of rice in Cd and As co-contaminated paddy soil.

The impact of societal antibiotic consumption on the prevalence of antibiotic resistance across microbial taxa in natural environments has not yet been assessed at global scales. Here, I examine the prevalence of 155 antibiotic resistance genes (ARGs) in 300,209 bacterial genomes, from non-clinical non-human-associated terrestrial environments at over 9,600 locations in 44 countries. I then compare ARG prevalences to nationwide antibiotic consumption rates, distinguishing between different ARG types. I find that depending on country and ARG type, ARG prevalences can be extremely high; for example, the probability that a given quinolone resistance gene is present in a given strain in Thailand was estimated at 42%. Further, I find strong positive correlations between nationwide antibiotic consumption rates and mean ARG prevalences for nearly all ARG types. Thus, national antibiotic consumption leaves a signal on the prevalence of ARGs across the bacterial tree, even in non-clinical environments.

While the differences between domesticated crops and their wild relatives have been extensively studied, less is known about their rhizosphere microbiomes, which hold potential for breeding stress-resistant traits. We compared the rhizosphere microbiomes of domesticated wheat (Triticum aestivum L.) and its wild ancestor (Triticum turgidum ssp. dicoccoides) in a typical agricultural field using 16S rRNA and ITS gene sequencing. Our results revealed a high level of conservation in the rhizosphere microbiomes between wild and domesticated wheat, with minimal divergence in community composition and microbial network structure. However, domesticated wheat exhibited a higher prevalence of fungal pathogens and increased functional redundancy, with significant enrichment of genes involved in carbon and nitrogen cycling. The microbial community assemblies in both wheats were predominantly governed by deterministic processes. This suggests that long-term conventional agricultural practices have imposed minor effects on the compositional differences between the microbiomes of wild and domesticated wheat. Nonetheless, the lower abundance of apparent pathogens in the rhizosphere of the wild wheat suggests greater natural biota or innate host plant resistance against pathogenic fungi. This study may provide valuable insights into the host selection, assembly patterns, and functional potential of microbial communities in wild versus domesticated wheat, with implications for manipulating microbial communities in future crop breeding.

Recalcitrant dissolved organic carbon (RDOC) generated by microbial carbon pumps (MCP) significantly influences terrestrial waters and may contribute to the formation of a long-lasting carbon sink. However, there remains a notable lack of research on the carbon fixation processes and efficiencies of MCP in response to changes in thermal structure within subtropical reservoirs. In this study, we examined the effectiveness of transforming dissolved inorganic carbon (DIC) into dissolved organic carbon (DOC) and subsequently into RDOC through the influence of MCP at various water depths during both Thermal stratification (TS) periods and Mixing (MX) period in the Dalongdong (DLD) Reservoir, a representative subtropical reservoir. The findings indicate that the conversion efficiency of microbiologically recalcitrant dissolved organic carbon (MRDOC) was typically four times greater during the TS periods compared to the MX period. This increase can be attributed to a higher abundance of bacteria involved in carbon fixation, as well as elevated levels of external semi-labile dissolved organic carbon (SLDOC) and labile dissolved organic carbon (LDOC), along with the accumulation of organic matter. Notably, the conversion efficiency peaked in the thermocline during the Obvious thermal stratification (OTS) period. During the TS periods, heterotrophic and chemoautotrophic bacteria played a significant role in carbon fixation in the epilimnion and thermocline, while fewer bacteria were engaged in carbon fixation in the hypolimnion. Conversely, throughout the MX period, the effects of water temperature and pH result in a diminished role of autotrophic bacteria in carbon fixation, leading to a decline in MRDOC conversion efficiency at all water layers. These results enhance our understanding of the carbon cycling processes influenced by the MCP effect in terrestrial waters experiencing changes in thermal stratification.

Coastal and nearshore zones, severing as a connection between the land and the open ocean, are some of the most productive and complex ecosystems, where prokaryotes are abundant and highly diverse. However, the systematic study of the diversity of prokaryotes on a large-scale range in coastal and nearshore zones is limited due to scattered sampling sites, various sampling collection methods, and different data processing methods across various studies. Here, we provide a dataset of 16S rRNA gene sequences obtained from the surface water samples across the China Seas, including the Bohai Sea, the Yellow Sea, the East China Sea, and the South China Sea. The dataset comprises 1,194 samples collected through field sampling and literature search. A total of 30,308 operational taxonomic units clustered at 97% sequence identity were obtained. Sixty-five bacterial and nine archaeal phyla were identified. This dataset offers a basic understanding of prokaryotic diversity in the China Seas, also provides a foundation for in-depth investigations into prokaryotic distribution across different regions and their interactions in various environments.

Beta-diversity is a fundamental ecological metric for exploring dissimilarities between microbial communities. On the functional dimension, metaproteomics data can be used to quantify beta-diversity to understand how microbial community functional profiles vary under different environmental conditions. Conventional approaches to metaproteomic functional beta-diversity often treat protein functions as independent features, ignoring the evolutionary relationships among microbial taxa from which different proteins originate. A more informative functional distance metric that incorporates evolutionary relatedness is needed to better understand microbiome functional dissimilarities.

Here, we introduce PhyloFunc, a novel functional beta-diversity metric that incorporates microbiome phylogeny to inform on metaproteomic functional distance. Leveraging the phylogenetic framework of weighted UniFrac distance, PhyloFunc innovatively utilizes branch lengths to weigh between-sample functional distances for each taxon, rather than differences in taxonomic abundance as in weighted UniFrac. Proof of concept using a simulated toy dataset and a real dataset from mouse inoculated with a synthetic gut microbiome and fed different diets show that PhyloFunc successfully captured functional compensatory effects between phylogenetically related taxa. We further tested a third dataset of complex human gut microbiomes treated with five different drugs to compare PhyloFunc's performance with other traditional distance methods. PCoA and machine learning-based classification algorithms revealed higher sensitivity of PhyloFunc in microbiome responses to paracetamol. We provide PhyloFunc as an open-source Python package (available at https://pypi.org/project/phylofunc/ ), enabling efficient calculation of functional beta-diversity distances between a pair of samples or the generation of a distance matrix for all samples within a dataset.

Unlike traditional approaches that consider metaproteomics features as independent and unrelated, PhyloFunc acknowledges the role of phylogenetic context in shaping the functional landscape in metaproteomes. In particular, we report that PhyloFunc accounts for the functional compensatory effect of taxonomically related species. Its effectiveness, ecological relevance, and enhanced sensitivity in distinguishing group variations are demonstrated through the specific applications presented in this study. Video Abstract.

Crop plant microbiomes are increasingly seen as important in plant nutrition and health, and a key to maintaining food productivity. Currently, little is known of the temporal changes that occur in the wheat rhizosphere microbiome as the plant develops, and how this varies among different sites. We used a pot-based mesocosm experiment with the same modern wheat cultivar grown in eight soils from across the North China Plain, a major wheat producing area. DNA from rhizosphere soil was taken from wheat plants, from seedling up to grain harvesting stage, and amplicon sequenced for prokaryotes and microeukaryotes, followed by community analysis. Our results showed that rhizosphere diversity of prokaryotes and microeukaryotes increased over time in most sites. While there was turnover between earlier- and later-arriving species, the predominant successional model was accumulation, with early arrivals remaining in place as others colonized the rhizosphere. Rhizosphere community network modularity and stability increased during the development and maturation of the wheat plant. The abundances of certain stage-specific keystone species were correlated with eventual grain yield - suggesting a potentially important role in wheat production. Some keystone species belonged to groups previously implicated in various functions. This study provides a basis for further experimental investigation of the wheat rhizosphere microbiome, its role in determining crop yields, and the potential for microbiome engineering to promote yields. The sequential arrival and accumulation of microbiota suggests that deliberate inoculation might accelerate this process.

Viruses are considered to regulate bacterial communities and terrestrial nutrient cycling, yet their effects on bacterial metabolism and the mechanisms of carbon (C) dynamics during dissolved organic matter (DOM) mineralization remain unknown. Here, we added active and inactive bacteriophages (phages) to soil DOM with original bacterial communities and incubated them at 18 or 23 °C for 35 days. Phages initially (1-4 days) reduced CO2 efflux rate by 13-21% at 18 °C and 3-30% at 23 °C but significantly (p < 0.05) increased by 4-29% at 18 °C and 9-41% at 23 °C after 6 days, raising cumulative CO2 emissions by 14% at 18 °C and 21% at 23 °C. Phages decreased dominant bacterial taxa and increased bacterial community diversity (consistent with a "cull-the-winner" dynamic), thus altering the predicted microbiome functions. Specifically, phages enriched some taxa (such as Pseudomonas, Anaerocolumna, and Caulobacter) involved in degrading complex compounds and consequently promoted functions related to C cycling. Higher temperature facilitated phage-bacteria interactions, increased bacterial diversity, and enzyme activities, boosting DOM mineralization by 16%. Collectively, phages impact soil DOM mineralization by shifting microbial communities and functions, with moderate temperature changes modulating the magnitude of these processes but not qualitatively altering their behavior.

Deciphering how microbial communities are shaped by environmental variability is fundamental for understanding the structure and function of ocean ecosystems. While seasonal environmental gradients have been shown to structure the taxonomic dynamics of microbiomes over time, little is known about their impact on functional dynamics and the coupling between taxonomy and function. Here, we demonstrate annually recurrent, seasonal structuring of taxonomic and functional dynamics in a pelagic Arctic Ocean microbiome by combining autonomous samplers and in situ sensors with long-read metagenomics and SSU ribosomal metabarcoding. Specifically, we identified five temporal microbiome modules whose succession within each annual cycle represents a transition across different ecological states. For instance, Cand. Nitrosopumilus, Syndiniales, and the machinery to oxidise ammonia and reduce nitrite are signatures of early polar night, while late summer is characterised by Amylibacter and sulfur compound metabolism. Leveraging metatranscriptomes from Tara Oceans, we also demonstrate the consistency in functional dynamics across the wider Arctic Ocean during similar temporal periods. Furthermore, the structuring of genetic diversity within functions over time indicates that environmental selection pressure acts heterogeneously on microbiomes across seasons. By integrating taxonomic, functional and environmental information, our study provides fundamental insights into how microbiomes are structured under pronounced seasonal changes in understudied, yet rapidly changing polar marine ecosystems.

Bacterial communities respond to environmental conditions with diverse structural and functional changes depending on their compartment (water, biofilm or sediment), type of environmental stress, and type of pollution to which they are exposed. In this study, we combined amplicon sequencing of bacterial 16S rRNA genes from water, biofilm, and sediment samples collected in the anthropogenically impacted River Aconcagua basin (Central Chile, South America), in order to evaluate whether micropollutants alter bacterial community structure and functioning based on the type and degree of chemical pollution. Furthermore, we evaluated the potential of bacterial communities from differently polluted sites to degrade contaminants. Our results show a lower diversity at sites impacted by agriculture and urban areas, featuring high loads of micropollution with pesticides, pharmaceuticals and personal care products as well as industrial chemicals. Nutrients, antibiotic stress, and micropollutant loads explain most of the variability in the sediment and biofilm bacterial community, showing a significant increase of bacterial groups known for their capabilities to degrade various organic pollutants, such as Nitrospira and also selecting for taxa known for antibiotic resistance such as Exiguobacterium and Planomicrobium. Moreover, potential ecological functions linked to the biodegradation of toxic chemicals at the basin level revealed significant reductions in ecosystem-related services in sites affected by agriculture and wastewater treatment plant (WWTP) discharges across all investigated environmental compartments. Finally, we suggest transitioning from simple concentration-based assessments of environmental pollution to more meaningful toxic pressure values, measured environmental concentrations normalised by effect information, in order to comprehensively evaluate the role of micropollutants at the ecological (biodiversity) level.

The accumulation of plastic in ecosystems is one of the most critical environmental concerns today. Plastic biodegradation using individual microbial cultures has shown limited success, which can be improved by employing microbial consortia with appropriate enzymatic capabilities. This study aims to assemble and characterize microbial consortia using ligninolytic fungi and bacteria isolated from an agricultural waste composting process, with the goal of enhancing the efficiency of plastic biodegradation. The compost microbiome demonstrated plastic-degrading functionality, particularly during the raw material and cooling phases. Ligninolytic microorganisms from compost were characterized for enzymes related to plastic degradation and their ability to colonize plastic films. The genera Bacillus, Pseudomonas, Fusarium, Aspergillus, Scedosporium, and Pseudallescheria exhibited a wide range of activities associated with plastic biodegradation, making them candidates for consortia assembly. The biodegradation of polyethylene using single and consortium cultures revealed that consortia, particularly those combining Bacillus subtilis RBM2 with Fusarium oxysporum RHM1, enhanced degradation efficiency. Additionally, consortia targeting multiple plastics, including virgin and recycled linear low-density polyethylene (LLDPE), polyethylene terephthalate (PET), and polystyrene (PS), showed varying levels of success, with bacterial-bacterial combinations such as Pseudomonas aeruginosa RBM21 and Bacillus subtilis RBM2 demonstrating broad-spectrum plastic degradation. These findings underscore the potential of compost-derived microorganisms for plastic biodegradation and suggest that utilizing microbial consortia offers a promising approach to tackling plastic pollution.