Environmental Microbiome

Alkaline and calcareous soils can induce iron (Fe) limitation in plants, yet the responses of root-associated microbial communities to beneficial rhizobacteria under these conditions remain poorly understood in cotton. Here, we investigated the effects of Variovorax paradoxus on plant performance, Fe nutrition, and root microbiome dynamics in cotton exposed to bicarbonate-induced Fe limitation. In this study, V. paradoxus inoculation under bicarbonate-induced Fe limitation significantly improved photosynthetic parameters, growth parameters, and tissue Fe status. Interestingly, V. paradoxus partially suppressed the Fe-deficiency-induced increase in root ferric-chelate reductase activity without further increasing rhizosphere siderophore activity. This response suggests that improved Fe availability reduced the demand for maximal activation of the intrinsic Strategy I response. Despite improved plant health, V. paradoxus reduced root C levels, suggesting altered belowground carbon utilization associated with bacterial inoculation and stress conditions. Split-root experiments further showed that inoculating both root compartments showed substantially greater recovery than unilateral inoculation, indicating that broader root exposure to V. paradoxus enhanced the beneficial response. Although bacterial alpha diversity remained unchanged, V. paradoxus significantly altered bacterial community composition and enriched Cellvibrio together with the fungal taxa Funneliformis and Dominikia under Fe limitation. Exploratory analysis identified the plant-beneficial fungal hubs Funneliformis and Serendipita in the V. paradoxus-treated community under indirect Fe deficiency, along with the core genera Pseudomonas, Hydrogenophaga, and Funneliformis and the indicator taxa Shinella and Aquabispora. Spearman correlation analysis further associated Streptomyces with root Fe accumulation and biomass, while Epicoccum and Sordariales were positively associated with siderophore production in cotton exposed to bicarbonate-induced Fe limitation and inoculated with V. paradoxus. These findings demonstrate the potential of V. paradoxus and identify candidate microbial partners for microbiome-informed biofertilizers to improve Fe nutrition in cotton grown in calcareous soils.

Plants and other photosynthetic organisms interact with their environment and surrounding microbiota through specialized associations. A global core microbiota has been proposed at high taxonomic levels, such as the order level. However, it remains unclear which environmental factors and how microbe-microbe interactions drive variation of this core microbiota at lower taxonomic resolution. Here, we leveraged the environmental diversity of 141 sites across the southwest of France to characterize algal populations, and their associated bacterial and fungal microbiota. We then performed a meta-analysis, combining these data with published datasets to formally identify the global core microbiota of terrestrial photosynthetic organisms, which comprises seven bacterial and five fungal orders. We next investigated diversity within this core microbiota and the environmental drivers shaping site-specific community composition. While environmental factors have a low impact on the total relative abundance of core orders, the core microbiota at the ASV-level is impacted by climatic factors, edaphic factors, and plant community descriptors. Using interaction network analysis, we finally explored how microbe-microbe interactions contribute to the assembly of stable core communities. Our results show that core ASVs occupy central positions in algal-associated microbial networks and that distinct core orders drive site-specific variation in core microbiota structure. Together, these findings highlight the importance of both environmental context and microbial interactions in shaping the composition and stability of the core microbiota associated with photosynthetic organisms.

Background and AimsAbiotic stress is a major constraint for citrus production in Mediterranean environments, where water deficit and salinity frequently occur. This is particularly relevant for perennial crops, like citrus, where limited options for stress avoidance exist. Rootstocks are extensively employed to enhance stress resilience; however, their influence on the root microbiome under abiotic stress remains largely unexplored. Here, we investigated the effects of water stress and salinity on the diversity, composition, and interactions of bacterial and fungal communities in two citrus rootstocks with reported contrasting phenotypes, such as Bitters, which has been described as exhibiting a promising tolerance to both water and salt stress, and Carrizo, which is generally reported to be highly sensitive to these conditions. MethodsThe distinct rootstocks have been subjected to either water stress or salt stress and compared with the non-stressed rootstocks. At the end of stress period, they were profiled and then integrated with recorded plant morphological (i.e. root volume), physiological (water potential, abscisic acid, chlorophyll and chlorophyll content meter) and biochemical measurements (abscisic acid and catalase). In parallel, we used a high-throughput amplicon sequencing to profile bacterial and fungal communities inhabiting the rhizosphere and endorhizosphere microhabitats of the rootstocks in both stresses and in non-treated conditions. Finally, we used correlations and multivariate analysis to determine relationships between plant performance and microbiome putatively underpinning stress adaptation and tolerance. ResultsAcross all treatments, microbial community composition was primarily shaped by microhabitat, with clear differentiation between rhizosphere and endorhizosphere. Abiotic stress significantly restructured microbial communities, particularly in the rhizosphere, while the endorhizosphere exhibited stronger genotype-dependent patterns. Bacterial communities showed pronounced stress-driven enrichments of taxa belonging to the main phyla (such as Proteobacteria, Actinobacteriota and Bacteroidota), with selective recruitment of taxa putatively associated with stress adaptation, whereas the response of fungal taxa (more represented by Ascomycota, Basidiomycota and Glomeromycota phyla) was less consistent and mainly microhabitat-driven. Notably, the two rootstocks exhibited distinct physiological strategies, with Bitters by increased proline accumulation and root volume and Carrizo characterized by enhanced ABA and catalase. ConclusionsOur findings showed Bitters outperform Carrizo in terms of tolerance to both water and salinity stress. In both rootstocks, specific bacterial taxa such as high abundant core or rare members, were associated with distinct phenotypic parameters, highlighting the importance of integrating plant and microbiome perspectives for improving stress resilience in citrus.

Background Symbiosis with microbes is a key strategy that has enabled plants to colonize extreme environments. Since the benefits conferred by root-associated microbes depend on both environmental conditions and host-microbe combinations, plant adaptation to harsh environments is closely linked to the assembly of root microbial communities. Understanding how environmental and host filtering jointly shape these communities is therefore fundamental to elucidating the mechanisms underlying plant adaptation to extreme environments. Results In this study, we investigated the differentiation of root-associated prokaryotic and fungal communities and individual operational taxonomic units (OTUs) across two contrasting habitats surrounding fumaroles, solfatara-field and forest-edge habitats, and six dominant Ericaceae and ectomycorrhizal plant taxa. Prokaryotic and fungal OTUs rarely exhibited strong preferences for both habitat and host identity. Instead, many of prokaryotic and fungal OTUs specialized to one of these niches, collectively generating root microbial communities differentiated by both factors. Nonetheless, striking specializations in habitat and host niches were observed in the fungal family Hyaloscyphaceae (Helotiales). To gain insight into the evolutionary basis of microbial specialization, we examined phylogenetic signals in preference phenotypes. The resulting weak phylogenetic signals in these preference phenotypes further suggest that this fungal clade has undergone substantial ecological divergence. Conclusion Overall, our findings indicate that root-associated microbial communities in extreme environments are assembled through the accumulation of microbial taxa specialized to either habitat or host, and that strong ecological specialization in fungi can arise with little phylogenetic constraint.

Despite their agricultural potential, how bacterial-fungal consortia reshape root microbiomes and improve crop performance in sorghum remains poorly understood. Here, we investigated how individual and combined inoculation with Bacillus subtilis and Trichoderma afroharzianum influenced sorghum performance and root microbiome assembly. The in vitro co-culture assay demonstrated the compatibility of B. subtilis and T. afroharzianum as a microbial consortium. The B. subtilis-T. afroharzianum consortium demonstrated the highest CPPI (composite plant performance index) and shoot fresh weight in sorghum, while all inoculation treatments improved multiple growth and physiological traits. Split-root analysis demonstrated that bilateral root co-inoculation was necessary to maximize whole-plant growth benefits. Also, B. subtilis-T. afroharzianum co-inoculation increased carbon levels in both roots and leaves, accompanied by enhanced rhizosphere siderophore production consistent with improved nutrient status. In microbial community analysis, neither bacterial nor fungal alpha or beta diversity differed significantly among treatments; instead, inoculation selectively restructured root microbial communities. The B. subtilis-T. afroharzianum consortium selectively enriched plant growth-promoting Actinoplanes, siderophore-producing Enterobacter, and the plant-beneficial fungal genus Podospora. Co-occurrence network analysis identified Rhodoplanes, Serendipita, and Zopfiella among hub taxa associated with B. subtilis-T. afroharzianum co-inoculation, suggesting potential roles in microbial community connectivity and organization. Furthermore, the persistence of Streptomyces and Serendipita, particularly the latter, suggests the presence of a beneficial microbial core that may contribute to sustained rhizosphere functioning. In addition, Bacillus and Serendipita were among the indicator taxa associated with inoculated treatment combinations, suggesting that the inoculants selectively assembled a distinct plant-beneficial microbiome. Devosia was associated with chlorophyll content, siderophore production, and shoot height, whereas Serendipita correlated with shoot biomass under the B. subtilis-T. afroharzianum co-inoculation. Taken together, B. subtilis-T. afroharzianum consortium promotes sorghum growth by selectively reshaping the root microbiome, highlighting its potential as a next-generation microbial biofertilizer.

Amplicon-based techniques provide a rapid and cost-effective approach for profiling microbial communities. However, the observed microbial diversity is influenced by a wide range of factors, encompassing pre-analytical steps such as the choice of primers and target regions, as well as the bioinformatic pipeline, including the selection of tools, reference databases, and parameter settings. Several benchmarks are already available in the literature, but the updates to important tools and databases, namely LotuS3, the Ribosomal Database Project and GreenGenes2, prompted our investigation. In this study, we conducted a comprehensive benchmark of the main bioinformatic tools and databases. Using seven regions for three publicly available mock communities of increasing complexity, we tested 38 possible combinations of sequence resolution algorithms (DADA2 stand-alone, LotuS3 (DADA2/UPARSE)), taxonomic classifiers and search tools (Kraken2, DECIPHER, RDP, MMseqs2, Lambda, and Metaxa2), and databases (SILVA, GreenGenes2, RDP, RefSeq, and Metaxa2). The region V1-V3, coupled with DADA2+MMseqs2+SILVA, DADA2+Metaxa2, or LotuS3 (DADA2)+RDP yielded the highest-quality estimates of the true diversity according to the metrics. We also demonstrated that even certain dominant genera remain difficult to detect, and that the quantification of all genera can be substantially over- or under-estimated, even when using optimal combinations of tools and reference databases.

Background Fungi in plant root systems are key to understanding the dynamics and functioning of terrestrial ecosystems. Whereas our knowledge of below-ground plant-fungus symbioses has derived mainly from studies of mycorrhizal and pathogenic fungi, recent studies have uncovered an unexpected diversity of ecological niches occupied by root-associated fungi. The fungal order Helotiales is conspicuous in this respect because this predominantly root-associated taxon encompasses a broad ecological spectrum, ranging from saprotrophic and pathogenic fungi to endophytic and mycorrhizal fungi with plant growth-promoting functions. In this study, we integrated a worldwide dataset of 1,996 Helotiales Species Hypotheses (i.e., species-level taxa tentatively defined based on DNA sequences) detected in roots of 362 plant genera representing 117 families and 47 orders, and systematically quantified the specificity of Helotiales-plant associations. Results The analysis of 37,688 unique occurrence records of Helotiales fungi across 1,940 global sampling locations revealed highly structured associations between Helotiales genera and plant lineages, exemplified by the strong specificity of Hyaloscypha, Oidiodendron, and Phialocephala for Pinales and that of Glutinomyces for Fagales, even after statistically controlling background biogeographic patterns. At the Species-Hypothesis-level analysis, major clades within the Helotiales phylogeny consistently exhibited high specificity for Pinaceae, whereas highly specific associations with other ectomycorrhizal, arbuscular mycorrhizal, and nonmycorrhizal plants were restricted to small terminal clades of the fungal phylogeny. Conclusions The integration of ecological specificity and phylogenetic analyses suggests the possibility that Helotiales fungi established close associations with Pinaceae early in their evolutionary history and subsequently underwent host shifts to diverse angiosperm lineages. Given the emerging evidence that Helotiales fungi play pivotal ecological and physiological roles in plant root systems, these statistical insights into Helotiales-plant associations provide a fundamental basis for understanding the evolutionary history and functioning of terrestrial ecosystems.

Improving environmental management in the offshore Oil & Gas sector requires approaches that capture the ecosystem services (ES) provided by marine sediments, particularly their roles in carbon and nutrient cycling. Microbial communities are central to these processes, and molecular tools offer new opportunities to assess their functional diversity. To explore how different sequencing approaches inform environmental impact assessment, we compared taxonomic and functional prediction based on 16S metabarcoding, shotgun metagenomics and messenger RNA-based metatranscriptomics, targeting prokaryotic communities. Our aims were to evaluate the ability of each approach to detect impact and to determine how well they captured functions relevant to ES. All approaches revealed clear differences in community composition between impacted and non-impacted sediments at both taxonomic and functional levels, with impact significantly associated with hydrocarbon and barium content. Functional inventories showed substantial overlap across the three approaches, and 48-55 ES-related processes were detectable in all datasets. While metagenomics provided the strongest statistical discrimination between impact groups, metatranscriptomics resolved the actively expressed pathways underpinning ES, yielding the most biologically meaningful functional profiles despite its lower statistical power. All approaches indicated that Oil & Gas activity drives shift towards anaerobic, hydrocarbon-degrading, and sulfur-respiring microbial communities, with hydrocarbon degradation, sulfur cycling, and metal detoxification being the dominant ES processes in impacted sediments. Metabarcoding was confirmed as a cost-effective option for impact assessment when focused on taxonomic composition. However, functional prediction from metabarcoding data proved less reliable, as several ES showed contrasting associations to impact category between metabarcoding and shotgun sequencing approaches.

Predatory protists are important in shaping terrestrial microbial ecosystems, but their roles in the phyllosphere, or the communities on aerial plant surfaces, are poorly understood. Previous work found that the order Colpodida dominated heterotrophic protist communities in the phyllosphere. While most protists were sporadically present, a few Colpodida variants were prevalent and abundant, indicating that these variants may represent species adapted to the phyllosphere. To identify these organisms, we cultured colpodids from field-collected tomato leaves and performed phylogenetic analysis of the 18S rRNA gene. Five of nine independent isolates matched the most prevalent Colpodida variant previously identified as leaf-enriched through amplicon sequencing, and these isolates comprised a novel clade of Paracolpoda steinii. When compared to a maize root isolate of Colpoda inflata, an abundant rhizosphere ciliate, a P. steinii isolate was similar in size and growth yield on E. coli, but grew to higher yields and formed large cyst clusters when incubated with model phyllosphere bacteria prey Erwinia and Pseudomonas. We developed and validated quantitative PCR (qPCR) methods for detection and cell abundance estimation of the P. steinii phyllosphere clade, C. inflata, and the order Colpodida in environmental samples. In inoculated greenhouse plants, qPCR-estimated protist populations matched measured inoculum levels, and protist inoculum was still detectable after five days. In an uninoculated tomato field, P. steinii was detected on all plants, with greatest abundances observed in lower leaves and after a rain event. P. steinii comprised up to 18.7% of total leaf Colpodida populations, which were estimated at up to [~]1400 organisms per gram of fresh weight. The findings demonstrate that Colpodida communities are consistently present on tomato leaves, dynamically affected by the abiotic environment, and include significant populations of P. steinii. We propose that the P. steinii isolates and qPCR tools presented can be used as a model system to investigate colonization and distribution patterns, biotic interactions, genetic adaptations, and agricultural applications of leaf predation.

Excessive application of boron-based fertilizers in agriculture has led to increased boron accumulation in soil, adversely affecting microbial communities and plant species, ultimately contributing to boron-induced desertification. This study presents the first metagenome-based analysis of boron-contaminated agricultural soil in Northern West Bengal, India, providing a comprehensive profile of the soil microbiome under boron stress. Boron-amended and unamended agricultural soil samples were analyzed using metagenomics sequencing approach over 365 days under natural environmental conditions. The results revealed a significant decline in bacterial diversity in boron-amended soil, with Firmicutes emerging as the dominant phylum. Notably, all boron-tolerant bacterial strains belonged to Firmicutes, suggesting that high boron levels impose selective pressure favouring Gram-positive bacteria. The enrichment of metal-resistant and oligotrophic bacterial taxa in boron-amended soil underscores microbial adaptation to boron stress. In addition to microbial community dynamics, we investigated plant succession in boron-enriched soil, offering novel insights into the interplay between above- and below-ground ecosystems. Our findings highlight two key adaptive traits, high boron tolerance and oligotrophic survival strategies, that enable bacterial communities to persist in boron-rich environments. These results enhance our understanding of microbial resilience in chemically stressed soils and have implications for soil health and sustainable agriculture.

Harnessing plant-microbe interactions offers a promising path to reduce chemical inputs and enhance crop resilience in agricultural systems. However, microbial inoculants often fail to persist or function consistently across soils, which limits their broad utility. Here, we explore whether legume cover crops can be used to create microbial legacies that improve nodulation and nitrogen fixation in downstream legume cash crops. In a greenhouse experiment, we inoculated four cash crops with rhizosphere and nodule microbiomes derived from different legume cover crops, then used 16S rRNA and nifH amplicon sequencing to profile bacterial and diazotroph communities, respectively. Host identity shaped cover crop rhizosphere and nodule microbial communities, and specific taxa within these communities predicted nodulation and growth in some cash crops. Host specificity varied widely across cash crops, with alfalfa narrowly dependent on a specific symbiont and common bean and fava bean forming more permissive, taxonomically diverse nodule communities. Increased nodulation did not consistently improve biomass, and outcomes in some cash crops depended on more than symbiont compatibility alone. In particular, common bean growth was predicted by both rhizobial and non-rhizobial taxa, while soybean nodulation was shaped by its compatible symbiont as well as a mismatched rhizobial taxon associated with other hosts. Together, these results suggest that cover crops can shape cash crop microbiomes and productivity in host-specific ways, requiring precise symbiont matching in selective hosts but offering more flexible, multi-taxon management opportunities in permissive hosts.

Sponges are among the earliest-diverging metazoans, and their evolutionary success has been strongly linked to their symbiosis with microorganisms. While marine sponge-microbiome associations have been extensively characterized, freshwater sponges remain comparatively understudied, particularly in tropical systems such as the Amazon, where sponges undergo seasonal flood pulses and urbanization-derived disturbance. Here we characterized the microbiomes of two freshwater sponge species, Drulia brownii and Tubella paulula, from two contrasting sites in the Tapajos River (Amazon basin), a non-urbanized and an urbanized site, at two time points, the rainy and dry seasons. The whole metagenome was sequenced using a long-read shotgun approach, and metabarcoding was employed to characterize the gemmule microbiome. The analyses revealed that microbiome composition was primarily influenced by season, with urbanization exerting a secondary but significant effect. In non-urbanized rainy-season sponges, the microbiome was dominated by Pseudomonadales and Bacillales, whereas urbanized sponges showed more diverse profiles enriched with Burkholderiales, a possible symbiont. During the dry season, communities converged across sites, with Burkholderiales becoming the dominant taxon, including in gemmules. The 23 high-quality MAGs recovered revealed symbiosis-related genes, broad biosynthetic repertoires, and a distinctive carbohydrate-active enzyme profile. Functional analyses suggest that Pseudomonadales and Burkholderiales may play complementary roles across seasons, and Bacillales may be associated with organic matter turnover. These results show that Amazonian freshwater sponges harbor stress-sensitive but resilient microbiomes, with seasonality driving major compositional shifts and urbanization accelerating convergence toward Burkholderiales-dominated consortia, and highlight the central role of bacterial symbionts in nutrient acquisition, photoprotection, and chemical defense.

Many wet tropical soils alternate frequently between fully oxygenated and anaerobic conditions, constraining the terminal electron acceptors available for microbial metabolism, and the mineral-organic matter interactions that regulate many aspects of soil carbon (C) cycling. However, it is still unclear how fluctuating soil redox conditions influence the microbial community composition and if microbially mediated C flux is sensitive to extended oxic or anoxic periods like those observed during drought and flooding respectively. Using a 44-day redox manipulation of tropical soils that experience daily-to-weekly oxygen (O2) fluctuations in the field, we measured how different redox regimes shape soil biogeochemistry and microbial and metabolite composition. Replicate microcosms were exposed to four treatments (static oxic, static anoxic, high frequency fluctuation (4 day oxic/4 day anoxic), or low frequency fluctuation (8 day oxic/4 day anoxic)) regimes, and harvested for microbial, metabolite, carbon dioxide (CO2) flux, and biogeochemical assays at multiple timepoints. Oxic and fluctuating redox conditions caused the microbial community to shift in a manner correlated with soil iron content and directly orthogonal to communities from anoxic soils. The identity of both iron oxidizers and iron reducers was distinct in static anoxic soils but was resilient to redox fluctuation and prolonged O2 exposure. The total amount of CO2 respired was similar across all four redox regimes. Water-extractable organic matter composition was distinct across redox treatments, with anoxic soils accumulating higher levels of carbohydrate-, proteins-, amino sugar-, and lignin-like compounds consistent with reduced enzymatic decomposition and release of mineral-associated organic matter via iron reduction, while oxic soils showed elevated lipid- and unsaturated hydrocarbon-like compounds indicative of greater microbial biomass turnover. The microbial community adapted to dynamic redox conditions and the results substantiate cycling of distinct C compounds under varying redox conditions resulting from varying bioavailability (driven by mineral-OM dynamics) and/or shifted microbial metabolism.

Bacteria inhabiting leaf surfaces - the phyllosphere - are crucial to plant health and ecosystem functioning. Methylobacterium is a taxonomically diverse, growth-promoting genus, ubiquitous on leaves. Different plant species host distinct Methylobacterium communities, but the genomic and functional basis of Methylobacterium symbiotic associations with particular host species remains poorly understood. Here, we used a metapangenomic approach to quantify the influence of host species on Methylobacterium assemblages, to identify genes potentially involved in Methylobacterium adaptations to host species, and to evaluate the contribution of Methylobacteriums accessory pangenome to these adaptations. We sequenced the metagenomes of 25 phyllosphere communities spanning five host species in a temperate forest in Quebec, Canada, and mapped these metagenomes onto Methylobacteriums pangenome to obtain nucleotide-level coverage and composition for each population on each individual host. We revealed strong divergences in the species- and gene-level community structure of Methylobacterium, driven by host phylogeny and plant form. Conifer communities were notably enriched in genes involved in amino acid, lipid, and carbohydrate metabolism; broadleaves, in genes involved in cell membrane, signalling, defense, and chemotaxis; and trees, in genes related to photosynthesis, oxidative phosphorylation, and translation. The shrub Corylus cornuta was a reservoir of Methylobacterium taxonomic diversity, and harboured numerous accessory genes under positive selection. Methylobacteriums accessory pangenome, evolving under weaker purifying selection, contributed importantly to gene-host associations, supporting its adaptive role. By linking genes to phyllosphere niches, our study shed light on the genetic basis of host adaptation and highlighted the crucial role of forest biodiversity in shaping microbial ecology and evolution.

The perennial grass Miscanthus x giganteus (miscanthus) offers a sustainable alternative to traditional biomass feedstocks while improving key soil health parameters, including aggregation. Aggregate stability results from dynamic soil-plant-microbe interactions, yet the relative importance of each factor remains an active research question. Building on previous observations that miscanthus alters soil structure to improve water-holding capacity and aggregate stability, we characterized the communities of soil bacteria and arbuscular mycorrhizal fungi (AMF) across three sites in Iowa, USA, comparing miscanthus to annual maize (Zea mays L.) and non-cropped perennial turfgrass (Poa spp.). We examined whether microbiomes co-varied with soil aggregation and, if so, whether plant cover identity or life history categorization better explained the observed patterns. Bacterial and AMF communities varied across sites and plant types, with signals that life history and plant cover identity both mattered. Aggregate stability aligned with a perennial-annual divergence in microbial beta diversity, while finer-scale differences in community composition and network structure were plant-specific. Soils under perennial plants were enriched in microbial groups positively correlated with aggregate stability; we identified 61 bacterial and 8 AMF "architect" taxa for future study. Within- and cross-kingdom co-occurrence network analysis revealed greater complexity under perennial plants: 1.9-fold more network links in miscanthus bacteria-bacteria networks than in maize, and 1.7-fold more in turfgrass AMF-AMF networks. Miscanthus fundamentally shapes microbial interactions, particularly among bacteria, relating to improved soil physical structure. Understanding these soil-plant-microbe feedbacks advances the development of biomass feedstocks with a portfolio of soil health benefits for next-generation biofuels and bioproducts. IMPORTANCEPerennial bioenergy crops can provide the raw material for biofuels and bioproducts while simultaneously improving soil health. Miscanthus x giganteus (miscanthus) efficiently stabilizes soil aggregates, potentially leading to higher water retention and erosion resistance. Understanding the microbial contributions to these outcomes is key to building resilient, sustainable bioenergy systems. This study highlights the connections between communities of soil microbes--bacteria and arbuscular mycorrhizal fungi--across three sites and three plant covers, including miscanthus, maize, and turfgrass. We identify a guild of potential "microbial architects" linked to soil aggregation and show more interconnected microbial networks under the perennial plant covers compared to annual maize. These insights shed light on the interactions between soil biological communities and soil physical and chemical properties. More broadly, the results may inform efforts to harness plant-associated microbiomes for sustainable biomass production.

Mangroves persist under strong environmental constraints with support from microbes. Although microbial communities differ among mangrove compartments, their assembly mechanisms and compartment-specific functional signatures remain poorly resolved. Here, we combine peptide nucleic acid-clamping coupled with 16S rRNA gene amplicon sequencing and genome-resolved metagenomics to investigate the microbial communities associated with the leaves and roots of gray mangrove trees in the Red Sea. Our results suggest homogeneous selection and homogenizing dispersal as key processes of microbial community assembly in leaves. This phyllosphere hosts novel prokaryotic lineages, with some of its members probably synthesizing rhodopsins, plant polysaccharide-degrading enzymes, and gamma-aminobutyric acid, a metabolite that increase tolerance to salinity stress. Genomes affiliated with Desulfobacterales and Sedimenticolaceae taxa are abundant belowground, suggesting complementary sulfur- and nitrogen-cycling capacities similar as occur in other blue-carbon ecosystems. Comparison with root-derived genomes from cordgrass revealed a host-driven selection of Sedimenticolaceae species with convergent metabolic profiles. Overall, this study provides an integrative view about the microbial biology of gray mangrove trees, offering foundational insights into the diversity, ecology, and predictive functionality of their aboveground-belowground microbiomes.

Stratified benthic deposits offer crucial modern analogs for Precambrian biogeochemical dynamics, yet whether the vertical organization of deep sedimentary columns reflects depositional history, present-day geochemical conditions, or both remains poorly understood, particularly under extreme oligotrophy. Here, we present a depth-resolved exploratory survey of a continuous 34-cm sediment core partitioned into 11 discrete horizons (L1 to L11) from Poza Roja 2, an alkaline, sub-hypersaline pond in the Cuatro Cienegas Basin, Mexico. Integrating physical stratigraphy, organic carbon and nutrient stoichiometry, and 16S rRNA gene metabarcoding, we evaluated down-core microbial community structure alongside acute phosphorus scarcity. Molar C:Po and N:Po ratios exceeded canonical Redfield proportions (106:16:1) in every layer, by up to 48.5-fold and 87.8-fold, respectively, both peaking in layer L4. Unconstrained ordination (PCoA) and hierarchical clustering grouped the layers into three compositional zones: upper (L2-L4), intermediate (L5-L6), and basal (L8-L11), with L1 and L7 occupying transitional positions. Archaea accounted for 31.0% of prokaryotic reads, ranging from 8.3% (L5) to 43.7% (L9), and were dominated by SM1-50 (Thermoplasmatota) and Halobacteriota. The phototrophic heliobacterium Heliorestis peaked in the intermediate zone (47.6% of bacterial reads in L6). Constrained Redundancy Analysis models lacked statistical significance (P >= 0.12), highlighting the exploratory nature of a single core (n = 11). This pilot characterization provides a baseline for understanding deep biogenic archives under severe nutrient limitation.

Plant microbiomes are assembled from environmental pools that differ substantially in composition, yet whether their responses to stress follow general rules or depend on the resident community remains unclear. We tested the generality of root microbiome responses to stress by growing three tomato (Solanum lycopersicum) genotypes in 20 independently sourced microbial communities under controlled abiotic and biotic stress. Microbial communities were transferred into a common sterile substrate, allowing to vary microbial community identity independently of soil physicochemical properties, and plants were exposed to drought, the foliar pathogen Pseudomonas syringae pv. tomato, or no stress. We analyzed the root microbiota using 16S rRNA amplicon sequencing. Stressor identity explained more variation in bacterial community composition than inoculum identity or plant genotype. Hierarchical models showed that many bacterial taxa responded consistently across distinct starting communities, with taxon identity contributing far more variation in stress response than microbial community of origin. Both stressors shifted between-community dissimilarity from taxon turnover toward nestedness, indicating increasingly similar patterns of taxon loss, but the pathogen produced stronger effects and increased variability among replicate plants. Drought reduced phylogenetic redundancy, whereas pathogen increased dispersal limitation. Together, these results show that stress imposes reproducible ecological filters across diverse starting microbiomes, while the magnitude and resulting community state remain contingent on the resident microbial community. This provides a basis for identifying transferable microbial targets for microbiome-based crop stress management, while also managing the local microbiome to maximize their beneficial effects.

Pyrroloquinoline quinone (PQQ) is known to promote plant growth, yet how the rhizosphere microbiome varies with PQQ concentration remains poorly understood. We applied metagenomic sequencing to characterize the taxonomic composition and functional potential of the tobacco rhizosphere microbiome across PQQ treatments at 0.5, 1 and 2 mol/L plus an untreated control. The rhizosphere microbiome was dominated by Pseudomonadota and Actinomycetota and differed among treatments in a concentration-associated, non-monotonic manner. The most pronounced differences were observed at 1 mol/L, where alpha diversity showed dimension-specific variation and beta-diversity analysis resolved the most distinct community profile. Taxonomic and functional profiles varied concurrently, with Streptomyces, Sphingomonas, Rhodanobacter and Lysobacter, together with functions related to biosynthesis, energy metabolism, colonization and environmental sensing, showing higher relative abundance at this concentration. No broad-spectrum antimicrobial effect was detected at the community level, and antibiotic resistance gene abundance showed no significant differences among treatments after correction for multiple testing. These findings provide a basis for further evaluation of PQQ in modulating the rhizosphere microbiome in continuous cropping systems.

Extremophilic fungi are a relatively unexplored source of stress-resilient microbes for sustainable agriculture. Here, we describe Talaromyces pseudofuniculosus FAR, isolated from the highly acidic site of Piccolo Inferno in southern Italy and identified by ITS and {beta}-tubulin (BenA) sequencing. Despite its origin from an extreme environment, T. pseudofuniculosus FRA remained fully functional under non-stress conditions and displayed tolerance to salinity and heavy metals while maintaining key plant growth-promoting traits, including phosphate solubilization, auxin-related compound production and hydrolytic activities. In soybean (Glycine max L.), the live fungus promoted plant growth under both non-stress conditions and agriculturally relevant salinity and copper stress, and successfully colonized the roots. A cell-free extracellular extract (exCFS) promoted early seedling development in vitro, but its effects were not sustained in pot experiments. GC-MS analysis provided a qualitative characterization of the extracellular metabolite profile and revealed condition-dependent differences between control, NaCl and CuSO4; growth conditions, indicating environment-dependent modulation of fungal metabolism. Overall, these findings highlight the physiological and metabolic plasticity of T. pseudofuniculosus FRA and support its potential as a fungal biostimulant for saline- and metal-impacted agricultural soils.