Environmental Microbiome

IntroductionCaves represent unique, nutrient-limited windows into the deep biosphere, yet the microbiology of the deep terrestrial subsurface remains remarkably under-explored. In this work, we took advantage of a rare expedition into Gourgouthakas Cave (Crete, Greece), one of the worlds deepest vertical systems, which had remained untouched by humans for 19 years. MethodsWe performed a high-resolution vertical profiling of the caves microbiome by sampling rock surfaces across nine different depths down to 1,100 meters. Through extensive cultivation using various media and temperatures, we established a biobank of 820 bacterial isolates. ResultsTaxonomic identification of a 362-isolate subset revealed a diverse community spanning 25 genera and 4 phyla, dominated by Pseudomonas, Bacillus, and Stenotrophomonas. Beyond characterizing diversity, we explored the biotechnological potential of these subterranean microbes against major agricultural threats. Screening 70 representative isolates against six key pathogens, including Ralstonia solanacearum, Verticillium dahliae, and Phytophthora nicotianae, uncovered a significant group of strains with potent antagonistic activity, particularly within the Pseudomonas and Brevibacillus groups. Genomic sequencing of cave-derived Actinobacteria (Streptomyces and Nocardiopsis isolates) further highlighted this potential, revealing 142 biosynthetic gene clusters (BGCs); notably, over half of these showed little to no similarity to known clusters, suggesting a hidden reservoir of novel secondary metabolites. Finally, ex vivo trials showed that the Pseudomonas sp. SRL917 isolate, significantly reduced Botrytis cinerea infections on tomato leaves, even surpassing the performance of a commercial biocontrol agent. DiscussionCollectively, our results demonstrate that deep karstic systems are not just geological wonders but vital hotspots for microbial innovation with tangible applications for sustainable agriculture.

Favoured by global changes, freshwater cyanobacterial harmful blooms generate major ecological, economical and public health challenges. Microcystis, one of the most widespread cyanobacterial genera, grows within a phycosphere where specialised interactions with its microbiome occur, and are suspected to influence bloom appearance and its potential toxicity. Using a combination of metagenomic, metabolomic and metabolic modelling, we characterised the phycospheres of twelve Microcystis strains isolated from a French pond. The distribution of metabolic reactions within Microcystis was consistent with their genospecies, whereas the metabolic landscape at the community level diverged from cyanobacterial phylogeny indicating functional decoupling between cyanobacteria and their associated microbiomes. Phycosphere-associated bacteria substantially expand the metabolic repertoire of the system, while maintaining functional redundancy within and across communities. On the other hand, metabolomic profiles were largely driven by cyanobacterial metabolic outputs. Metabolic modelling, together with the identification of toxic specialised metabolites produced by specific biosynthetic gene clusters, further highlighted differences in metabolic potential among phycospheres. Together, these findings deepen the understanding of Microcystis phycosphere functioning, demonstrate the value of multi-omics systems biology approaches, and underscore the ecological relevance of interspecies and inter-phycosphere metabolic interactions as a structuring process in bloom-associated microbiomes.

The Imperial Palace in Tokyo serves as a significant reservoir of biodiversity within the urban landscape; however, its soil microbial communities remain uncharacterized despite decades of macro-biological surveys. This study presents the first dataset profiling the soil microbiome of the Imperial Palace Outer Gardens, utilizing both 16S rRNA amplicon and shotgun metagenomic sequencing to fill this knowledge gap. We collected bulk soil samples from four distinct sites, including pond sediments and soils beneath ginkgo and pine trees, to capture a range of environmental conditions within this conserved greenspace. Both 16S rRNA amplicon sequencing and shotgun metagenomic sequencing revealed that Pseudomonadota and Actinomycetota were the predominant phyla across all samples. Notably, sites with monoculture vegetation, such as those beneath pine trees, exhibited lower microbial diversity than other locations. Functional annotation identified core metabolic pathways and detected specific antimicrobial resistance and virulence factor genes in selected samples. These datasets provide a critical baseline for future research into urban ecosystem dynamics, soil health, and the intersection of environmental conservation and public health.

BackgroundBuilt environment microbiome studies have identified numerous factors that shape indoor microbiomes, yet the reproducibility of these findings across buildings, timepoints, and research groups remains unclear. Differences in sequencing protocols, sampling design, and environments pose major challenges for cross-study comparisons, particularly in low-biomass environments where technical variation can obscure biological signal. To address this gap, we constructed a simple ontology which groups samples into one of three categories: hand, hand-associated surfaces, and floor then applied it to four publicly available 16S rRNA gene datasets: a hospital, university dormitory, Air Force dormitory, and private residential houses. ResultsWe identified strong and reproducible separation between floors and surfaces with frequent human contact. We found that floors consistently harbored soil-associated taxa, including KD4-96, 67-14, Skermanella, and Sphingobacterium, whereas hands and hand-associated surfaces were enriched with skin-associated genera, such as Lawsonella and Cutibacterium. Within studies, these results were generally consistent across timepoints. Across studies, mixed-model PERMANOVA analysis revealed significant clustering by sample type, with modest effects of study, suggesting that biological signal outweighed differences in laboratory or sequencing methods. Leave-one-study-out random forest models achieved high AUCs for hand vs. floor comparisons (0.865 to 0.921), moderate AUCs for hand-associated vs. floor comparisons, and weaker performance for hand vs. hand-associated comparisons. Application of the batch-correction method DEBIAS-M did not improve effect sizes or classification performance, indicating that reproducible structure was already discernible without batch adjustment. ConclusionsDespite substantial temporal and environmental heterogeneity among studies, we found that the built environment microbiome has a reproducible bacterial signal. There was consistent enrichment of soil-derived taxa on floors and human-associated taxa on hands and hand-associated surfaces suggesting a stable microbiome despite differences in building type, occupancy, and methodology. These findings establish an important foundation for future studies, suggesting cross-study comparability, the accuracy of ecological inference, and the ability to support the development of predictive applications in indoor microbiome research.

O_LIPhyllosphere microbiomes are subject to microbial import from various sources and undergo substantial changes during phenological changes of plants. However, these processes are still poorly understood for forest canopies. We propose that phenology-driven changes in host properties, and rainwater-mediated, within-canopy transport shape the phyllosphere microbiome in temperate forests. Leaves and throughfall samples were collected from oak, ash and linden trees at top, mid, and bottom canopy positions at the Leipzig canopy crane facility (Germany) at time points representing early, mid and late phenological stages. Bacterial community composition was assessed by 16S rRNA gene amplicon sequencing. C_LIO_LIPhenological stages explained 19% of phyllosphere bacterial community variation, followed by tree species identity (12%) and canopy position (2%). Later phenological stages exhibited more homogeneous and functionally redundant phyllosphere communities along with a strong decline of plant pathogens and increasing potential for microbially mediated biocontrol mechanisms. Throughfall transported up to 1011 bacterial cells per litre with maximum bacterial fluxes at the canopy top. C_LIO_LIOur findings demonstrate that in temperate forests, phenology-driven effects on the phyllosphere microbiome are far more important than tree species specific effects. Extent and selectivity of throughfall-mediated mobilization may play a crucial role for the spatial heterogeneity of microbial communities in tree crowns. C_LI

Plant-associated microbiota are composed of hundreds of microbial species. For many of them, little is known about their individual functions and even less is known about their emergent community-level traits. While culture-independent methods provide valuable insights into the composition, diversity, and functional potential of plant-associated microbiota, culture-dependent methods are essential for reductionist lines of inquiry into the roles of individual species and their interactions within a community. Here, we present ZeaMiC, a publicly available culture collection of root-associated bacteria from Zea mays (maize). This resource comprises 88 isolates obtained from diverse soils and several maize genotypes, with live cultures available through DSMZ (German Collection of Microorganisms and Cell Cultures) both as single stocks and as cost-effective bundles (https://www.dsmz.de/collection/catalogue/microorganisms/microbiota/zeamic). To maximize relevance, isolates were selected to be representative of maize root-associated microbiomes in the Corn Belt of the United States, based on abundance-occupancy patterns from previously published root microbiome data, phylogenetic diversity, and literature-based evidence of functional importance. Whole-genome sequencing and annotation revealed genes associated with root colonization, plant growth promotion, and nutrient cycling, including functions such as chemotaxis, biofilm formation, secretion systems, hormone modulation, and phosphate solubilization. This collection serves as a community resource for future mechanistic studies of plant-microbe and microbe-microbe interactions, filling the gap in our understanding of the ecological interactions in plant microbiomes.

Succession is an ecosystem building process in which a habitat and its community interact predictably by increasing diversity, habitat engineering, and ultimately reaching a climax community, where other ecological processes influence its dynamic. Key to succession is the establishment of primary producing habitat forming species, which drives niche differentiation leading to increasing diversity. Here, we use the primary colonizing and habitat forming seagrass, Halophila ovalis, to demonstrate that it drives bacterial succession in a meadow ecosystem, and its microbiome, both rhizoplane and phylloplane, are under host selection. Many of the characteristics attributed to plants for habitat modification are microbial processes such as nitrogen fixation and sulfide detoxification and succession is often extrapolated to such processes. To determine if succession (increasing diversity) or selection (reducing diversity) drives changes in diversity (16S rRNA gene) or habitat modifying processes (nifH, soxB, aprA, dsrA), molecular analysis was performed along chronosequences (as a proxy for succession) of seagrass patches. Bacterial communities were sampled within the meadow ecosystem and the microbiomes of H. ovalis (both rhizoplane and phylloplane). Genes involved in biogeochemical cycling are differentially impacted within the microbiome and meadow sediments, with only nifH under succession. All genes from all niches sampled for community analysis are under directional community trajectories, despite being subjected to distinct ecological processes, signifying that many ecological processes, including succession and host association, drive community assemblage.

Despite their importance for individual fitness and population processes, the microbiota of many ecologically significant insects remains poorly explored. Even less is known about the interactions between microbial communities inhabiting insects and their surrounding environment. Ant infrabuccal pockets (IBPs), representing the interface between the digestive tract and the external environment, provide an opportunity to study these interactions. Here, we aimed to characterize ant-microbial interaction networks in the forest floor by profiling fungal and bacterial communities associated with the IBP of Formica polyctena ants, known as ecosystem engineers in temperate forests. We used direct microscopy, culturing, and sequencing amplicons of ITS1, ITS2, 18S rRNA marker regions to describe fungal communities, and 16S rRNA metabarcoding to characterize bacterial communities. Classical methods combined with a multi-marker amplicon sequencing allowed for a comprehensive description of the IBP microbiota. Fungal communities consistently contained representatives of 15 ecologically diverse genera, including insect-associated yeasts and primarily saprotrophic or endophytic fungi. Bacterial communities were dominated by genera previously reported from ant guts, mainly Bacilli and Alphaproteobacteria, and showed greater stability among ant colonies than fungal communities. Further studies on red wood ants IBP microbiota would enhance our understanding of their role in shaping ecological networks in forest ecosystems.

Microbial communities of geothermal habitats are central to understanding the evolution of life on Earth. Metagenomics has provided insight into the role of viruses in shaping microbial diversity of complex environments. However, identification of novel viruses is constrained by lack of marker genes and low nucleotide similarities between related viral taxa. While microbial and viral diversity have been explored in terrestrial hot springs and hydrothermal vent systems, other volcanic features remain underexplored. Fumaroles (steam vents) are geothermal features that heat groundwater with magma, releasing steam and volcanic gases such as CO2 and H2S. Comparatively physicochemically dynamic to hot springs, fumarole temperatures and gas emissions rapidly fluctuate with volcanic activity. Here, we describe viruses identified metagenomically from microbial mats hosted near basaltic fumaroles on the Big Island of Hawai`i. To our knowledge, this is the first systematic survey of fumarole viruses. Our utilization of a sensitive profile-based approach for identification reveals high viral diversity in fumaroles, resulting in estimation of two undescribed order-level clades of Caudoviricetes (tailed phages). Viral metabolic genes provide evidence of viral-mediated adaptation of microbes to fumarole conditions. We describe patterns of viral diversity that diverge from the Bank model of viral ecology, hinting at viral dispersal between biofilms and high viral richness and evenness. Lastly, we provide a description of the first terrestrial geothermal environment dominated by Microviridae, previously only described in viral communities of deep ocean hydrothermal vents. This study offers important findings for exploration of viral ecology in extreme environments.

Plant leaves harbor diverse microbial communities influenced by environmental inputs and host traits, yet it remains unclear whether leaves act as passive substrates or active ecological filters that reorganize microbial functional capacity. Phylloplane pH regulation is one hostplant trait that has been traditionally underexplored. We used metatranscriptomics to examine microbial gene expression on the phylloplane and within whole leaves of five plant species spanning the extremes of baseline phylloplane pH, including hyperalkalinizing Gossypium species, weakly buffering Beta vulgaris, and hyperacidifying Nepenthes species. Young leaves were inoculated with a common soil-derived microbial community to quantify host-associated restructuring of taxonomic and functional profiles, and short-term pH perturbations were applied to test the effect of transient abiotic stress. Across both phylloplane and whole-leaf datasets, host species identity was the primary axis structuring microbial taxonomic composition and expressed functional repertoires. Leaf-associated communities diverged from the source inoculum, but retained a substantial shared functional backbone enriched for central biosynthetic and core metabolic pathways. Host-associated differentiation reflected selective retention and redistribution of reactions within this shared environmental pool rather than acquisition of novel metabolic capacity. Enriched pathway subsets were metabolically coherent and taxonomically distributed across multiple bacterial orders, consistent with functional redundancy and trait-based assembly. Among hosts, Gossypium exhibited the strongest restructuring relative to inoculum, suggesting comparatively stronger host-associated filtering. In contrast, short-term pH manipulation did not induce consistent community-wide functional reorganization. Microbial physiological responses to the phylloplane environment and external pH were observed at the organismal level. Together, these results position leaves as active ecological filters that reorganize microbial functional landscapes through host-specific trait regimes. This work begins to implicate some role of phylloplane pH regulation in microbial assembly and function.

Agriculture has modified the soil structure due to the influence of external factors and processes that affect microbial biodiversity. Metagenomics is a fundamental tool for the study of soil microbial diversity because it provides information about the ecosystem diversity, including both the microorganisms that cannot be isolated in culture media and those that are no longer viable in the analyzed sample. In this work, six soil samples obtained from agroecosystems of central and northern Argentina were subjected to a preliminary 16S metagenomic analysis. Copiotrophic bacteria (Proteobacteria and Actinobacteria) were dominant and one of the samples had a dominance of an oligotrophic Phylum (Acidobacteria). Our findings support previous evidence from traditionally managed agroecosystems and provide new insights into the diversity of soil microbiomes in Argentine regions outside the Pampas. Finally, we analyzed the most common genera with relevant species to agronomy, both beneficial and pathogenic, and their abundance and diversity in the sequenced samples.

Eukaryotes originated from the symbiosis of an Asgard archaeon, the alphaproteobacterial ancestor of mitochondria, and possibly additional bacterial contributions. This transition occurred in redox-transition environments such as microbial mats or shallow sediments [~]2 billion years ago, when atmospheric oxygen was far lower than today. We investigated Asgard-enriched microbial mats from the low-oxygen, sulfidic Catherine volcano lake (Afar region, Ethiopia), mimicking early Proterozoic conditions. 16S rRNA gene metabarcoding, metagenomics, and metagenome-assembled genome analyses across redox-stratified layers of in situ and mesocosm-maintained mats revealed that Asgardarchaeota thrived in the sulfate-reduction zone, mainly co-occurring with Desulfurobacterota-Myxococcota, among others. Lokiarchaeia and Thorarchaeia preferred anoxic layers. Within Heimdallarchaeia, Heimdallarchaeales were enriched in upper layers, correlating with oxygen-tolerant hydrogenase and sulfate-reduction genes, and Hodarchaeales, in anoxic layers, correlating with methanogenesis. Although reactive-oxygen-species defense mechanisms were widespread, Asgardarchaeota lacked aerobic respiration. These results support the idea that Asgard archaea engaged primarily in syntrophic interactions with sulfate-reducers under early-Earth-like conditions.

Centrohelid heliozoans are a monophyletic group of free-living, ubiquitous, predatory protists widely distributed in aquatic and soil ecosystems. Centrohelids are known as cytotrophic protists that feed on bacteria, algae, and small unicellular eukaryotes. While algal and chloroplast symbioses have been documented in this group, their bacterial associations remain largely unexplored. In this study, we characterize the bacterial communities associated with centrohelids isolated from freshwater habitats using full-length 16S rRNA PacBio sequencing. Amplicon sequencing revealed 5 phyla, 6 classes, and 58 genera in the bacterial communities associated with seven centrohelid isolates. Alphaproteobacteria, Bacteroidia, and Gammaproteobacteria were the most abundant classes, while Arcicella, Sphingobium, Pseudomonas, Sphingomonas, Azospirillum, Shinella, Flavobacterium, Variovorax, and Rhodococcus were the most abundant genera. Notably, Arcicella, Variovorax, Sphingobium, and Pseudomonas constituted the core microbiome. Unexpectedly, we detected bacteria known as opportunistic pathogens, providing the first evidence that centrohelids may serve as environmental reservoirs for bacteria with pathogenic potential (e.g., Acidovorax, Acinetobacter, Anaerococcus, Bosea, Corynebacterium, Escherichia, Moraxella, Mycobacterium, Prevotella, Pseudomonas, Ralstonia, and Sphingomonas). In addition, this study provides the first evidence of Rickettsiaceae associations with centrohelids. IMPORTANCEThis study reveals that centrohelid heliozoans, ubiquitous microbial predators, harbor diverse and host-specific bacterial communities. Critically, we show they can serve as environmental reservoirs for bacteria with pathogenic potential, a role previously overlooked outside of model protist groups. These findings expand our understanding of pathogen ecology, suggesting that a wider range of protists may contribute to the persistence and dispersal of opportunistic pathogens in aquatic ecosystems.

The microbiota and microbiome associated with zooplankton remains rather understudied compared to other animal groups and/or taxa. The present study aimed at investigating the whole-body bacterial microbiota of Daphnia spp. in two contrasting Greek lakes, the shallow and hypertrophic Lake Koronia vs. the deep and mesotrophic Lake Vegoritida, including both egg-bearing and non-egg-bearing individuals. In both lakes, 2,060 bacterial operational taxonomic units (OTUs) were found, with 223 of them being conditionally rare (crOTUs) with low contribution even for the dominant phyla, with L. Vegoritida having more crOTUs than L. Koronia. The individuals microbiota had inconsiderable overlap with the surrounding water microbiota in both lakes. The two lakes showed significant differences in their Daphnia -associated microbiota. L. Koronia had richer OTUs and rather homogeneous bacterial communities, with higher occupancy. Overall, no significant differences in between the microbiota of egg-bearing and non-egg-bearing Daphnia individuals in both lakes. However, regarding the most important OTUs (miOTUs), the L. Koronia miOTUs were highly overlapped between the individuals with and without eggs, with only one missing from the individuals without eggs. In L. Vegoritida the individuals without eggs had only six miOTUs and while egg-bearing individuals had nine different ones; the two lakes had no shared miOTUs., considerable differences occurred.. A total of 27 miOTUs, was found and belonged to the Pseudomonadota, unclassified Bacteria, Cyanobacteria, Bacteroidota, Bacillota and Actinomycetota. Those miOTUs, where assignment to the genus level was possible, they were related to Cyanobium, Mucilaginibacter, Flavobacterium and Staphylococcus. This study showed that lake morphotype and ecological status can exert some impact on Daphnia-associated bacterial microbiota, with more pronounced effects on egg-bearing and non-egg-bearing individuals.

BackgroundGlobally, seagrass ecosystems are threatened by anthropogenic activities that are leading to increased levels of eutrophication, coastal pollution and thermal conditions. Consequently, there is a growing need to develop new approaches that work to mitigate these stressors and enhance restoration efforts in seagrass meadows. One promising strategy is to identify, isolate and characterize microbial consortia that are likely to support seagrass productivity. However, our current understanding of key microbial functions that support plant growth in marine systems is limited. Based on evidence from terrestrial plant-microbe systems, seagrass-associated bacteria are expected to provide the plant with nitrogen and phosphorus resources while detoxifying sulfur and producing phytohormones. Here, we sequenced 61 bacterial cultures isolated from the rhizosphere, rhizoplane, and endosphere of the seagrass, Zostera marina to identify a consortium of six putative plant growth promoting (PGP) candidates. ResultsOur cultivation approach using plant-based media allowed us to isolate 201 bacteria from Z. marina, which reflected 18% of the total microbial diversity of the starting inoculum. Genomic and phenotypic analyses of the 61-sequenced pure-cultures revealed that most of the sequenced taxa were able to mobilize nitrogen primarily through catabolic pathways, including denitrification (51%), dissimilatory nitrate reduction to ammonia (71%), and C-N bond cleavage (83%). Six of the isolates, which represent new lineages of Agarivorans, coded for the nitrogenase gene cassette. Additionally, 52% of the genomes had genes for sulfur and/or thiosulfate oxidation, 88.5% for phosphorus solubilization, and 60.5% for IAA production. Genomic analysis also revealed that some pathways, including denitrification and dissimilatory nitrite to ammonia DNRA, required cross-species cooperation as no one taxa contained all the genes needed to complete these metabolic pathways. Based on draft genome models and results from phenotypic assays, isolates Streptomyces sp. (Iso23 and Iso384), Mesobacillus sp (Iso127), Roseibuim sp. (Iso195), Peribacillus sp. (Iso49), and Agarivorans sp. (Iso311) represent a minimal microbial community that is likely to promote seagrass growth and enhance restoration efforts. ConclusionOur work provides a detailed genomic and phenotypic analysis of bacteria isolated from Z. marina and identifies a minimal microbial community with complementary PGP traits. Isolating, identifying and characterizing bacteria that promote seagrass growth is critical towards enhancing restoration efforts of seagrass meadows.

Water scarcity is an increasing constraint on agricultural productivity and demands scalable strategies that improve crop performance under reduced irrigation. As soil microorganisms regulate key processes at the soil-plant interface, microbial inoculants may help sustain plant growth and physiological function during water limitation. Here, we assembled five functionally diverse microbial consortia containing taxa selected to support rhizosphere colonization, soil structural stabilization, and fungal-mediated nutrient and water foraging. These consortia were evaluated in greenhouse trials with lettuce and spinach grown under full irrigation or a 30% deficit irrigation regime (70% of crop water requirement). Crop responses were assessed using yield, harvest delay, root length, wilting incidence, chlorophyll content, and Water Band Index (WBI). Across both crops, microbial consortium treatments improved performance under deficit irrigation relative to untreated water-stressed controls. In lettuce, yield increased by 3-9%, while in spinach yield increased by 4-13%, with several treatments restoring performance to levels not significantly different from the fully irrigated control. Microbial treatments also reduced harvest delay by an average of three to four days, improved root length, lowered wilting incidence, and reduced WBI, indicating reduced plant water stress. In several cases, these physiological responses approached those observed under full irrigation despite 30% lower water input. Higher application rates (500 vs 250 g h-1) generally produced stronger responses, although this trend was not always statistically significant. Together, these results show that complex microbial consortia can buffer the negative effects of deficit irrigation and improve crop performance in leafy greens. These findings support the development of microbial inoculants as biologically based tools to enhance agricultural resilience under increasing water scarcity. TeaserMicrobial soil inoculants help crops maintain yield and harvest synchrony under reduced irrigation.

Anaerobic methanotrophic (ANME) archaea are important players in the microbial methane cycle, mitigating methane emissions from anoxic environments. ANME are found ubiquitously in methane-rich sediments, where they can couple anaerobic methane oxidation (AOM) to different electron acceptors such as sulfate, metal oxides, and natural organic matter (NOM). However, we still lack understanding of the geochemical niches and preferred metabolic pathways of most ANME subclades. Here, we investigated the genomic potential and ecophysiology of ANME-2a with respect to metal-dependent AOM in brackish metal-rich coastal sediments. We assembled several high-quality ANME MAGs from subclades with high strain heterogeneity and analyzed the genomic potential for metal-AOM. Additionally, we monitored long-term enrichments with various electron acceptors from the same sediments. Ultimately, we recovered 8 novel genomes of ANME-2a that clustered with an uncharacterized genus with only 2 representatives in public databases for which we propose the name Candidatus Methanoborealis. The analysis of the MAGs showed two different clusters within this genus; one comprising of MAGs from the Baltic Sea that showed high potential for extracellular electron transfer (EET) required for metal-AOM, and another cluster form more diverse environments with less EET potential. The Baltic Sea Ca. Methanoborealis were the only canonical methanotrophs in the incubations during active methane oxidation and metal reduction. Our results contribute to the understanding of the phylogenomic and metabolic diversity in ANME subclades, which will help to further characterize novel ANME lineages from complex sediment samples.

BackgroundPelagic Sargassum has undergone significant range expansion and dramatic blooms in the Atlantic over the past 15 years. This algaes microbiome provides symbiotic functions that are believed to contribute to its ecological success. Recent research shows that Sargassum-associated bacteria are enriched in integrated prophages compared to the surrounding seawater and that these prophages are inducible by chemical and ultraviolet treatment. ResultsHere, we investigated a Sargassum-derived in vitro multispecies biofilm encompassing the dominant heterotrophic microbial members associated with Sargassum to probe the impacts of prophage induction on the composition of Sargassum microbiomes. Induction was quantified by coverage-based virus-to-host ratios in chemically induced treatments with Mitomycin C and non-induced controls, and the community composition and metabolic profiles were analyzed after a period of recovery post-induction. Chemical induction led to a significant increase in abundance and virus-to-host ratio of viral genomes linked to Vibrio metagenome-assembled genomes. This was accompanied by altered biofilm community composition, with a reduction in Vibrio bacterial abundance that opened niche space for other biofilm members in the genera Pseudoalteromonas, Alteromonas, and Cobetia. The induced Vibrio-associated phages encoded genes involved in quorum sensing, biofilm formation, virulence, and host metabolism. Induction led to a relative loss of 17 metabolic modules, including functions related to energy metabolism and nitrogen utilization. ConclusionDue to the high frequency of lysogeny in the Sargassum microbiome and the susceptibility of prophages to chemical and ultraviolet light induction, these results suggest that prophage integration and induction are mechanisms that significantly contribute to structuring the Sargassum microbiome and its functional profiles, potentially aiding in microbiome flexibility in changing environmental contexts.

Metaproteomics enables the functional characterization of microbiomes and host-microbe interactions by detecting and quantifying thousands of proteins. In data-dependent acquisition metaproteomics, protein quantification is commonly performed using either MS1-based area under the curve (AUC) or MS2-based peptide spectral counts (SpC). In AUC quantification, match between runs (MBR) is frequently employed to minimize data sparsity, yet its impact on metaproteomic data remains unclear. Understanding MBRs impact on metaproteomics data is especially important due to the high peak density in the MS1 mass spectra and the potential presence of not only proteins, but even entire organisms, in one sample and their absence in the other, which would complicate accurate feature mapping and transfer. While accurate quantification is essential for deriving meaningful biological inferences from metaproteomic analyses, systematic evaluations of AUC and SpC quantification in metaproteomics remain scarce. In this study, we used defined complex metaproteomic samples to perform a ground truth-based evaluation of AUC and SpC quantification and to determine the impact of MBR on AUC quantification. We found that MBR led to a substantial number of falsely identified proteins in complex samples. Protein identifications from an organism not present in the sample were wrongly transferred from other samples when MBR was used. We found that MBR-free AUC data had a wider dynamic range, higher quantitative accuracy, and more sensitive detection of abundance differences. Significance of the StudyAlthough metaproteomics is increasingly used to advance microbiome research, quantification strategies in metaproteomics are mostly selected based on convention rather than evidence, due to a lack of ground truth-based evaluation of quantification strategies in metaproteomics. Accurate protein quantification is key to deriving meaningful biological inferences from metaproteomic samples, yet it remains challenging due to their high complexity and uneven protein abundances. Here, we used defined metaproteomic samples to evaluate widely used quantification strategies in metaproteomics and to determine the effects of match between runs (MBR) on quantitative accuracy. Based on our findings, MBR adds falsely identified proteins to metaproteomic data. While MBR-free AUC offers a broader dynamic range and higher quantitative accuracy, SpC offers better proteome coverage. With this study, we provide an evidence-based framework for the informed selection of quantification strategies in metaproteomics, and highlight the strengths and limitations of these approaches with respect to proteome coverage, dynamic range, quantitative accuracy, and error propagation. Our findings also have important implications for the biological interpretation of data derived from these strategies and lay the groundwork for future studies validating quantitative approaches in data-independent acquisition workflows.

The study of microbial volatile organic compounds (mVOCs) is a growing area of research, with applications ranging from agriculture to human health. The majority of the mVOC data are from in vitro liquid cultures, while few analyses of bacterial and fungal volatilomes on solid media cultures exist. Studies comparing liquid versus solid cultures of bacteria and fungi show significant changes to the soluble metabolites that are produced, suggesting that large differences would be observed for mVOCs based on the culture conditions. To test this idea, we characterized the volatilomes of Chromobacterium violaceum (strain ATCC(R) 12472) and C. vaccinii (strain MWU328), and those of their isogenic cviR- quorum sensing mutants cultured on solid versus liquid Kings Medium B media. VOCs were sampled using thin-film solid-phase microextraction (TF-SPME) and analyzed by two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS). Of the three variables examined - Chromobacterium species, media type, and quorum sensing ability - growth on liquid versus solid media caused the most significant differences in the volatilomes. Bacterial species and quorum sensing ability were also influential, but to a lesser degree. Our findings indicate the importance of growth conditions in microbial volatilomics, and therefore, more consideration should be given to how microorganisms are cultured for volatilome analyses. ImportanceThe purpose of this work is to elucidate the differences in the volatile metabolic profiles of Chromobacterium spp. by exploring them through the lens of three variables: growth conditions, species, and the ability to quorum sense. Work on organismal metabolic differences stemming from factors such as liquid versus solid media types remains broadly overlooked. Understanding these effects will allow future researchers to design more robust experiments that better translate to native microbial ecosystems such as rhizosphere and phyllosphere, where volatile compounds may influence plant-pathogen or plant-saprobe interactions.