ISME Communications

Heterotrophic flagellates play a major role in nutrient recycling and shaping aquatic microbial communities. Many motile species have evolved diverse predatory strategies to exploit microbial prey, from bacteria to small eukaryotes. Excavates, deep-branching eukaryotic lineages with distinctive biflagellate morphology and conserved cytoskeletal features, exhibit varied feeding behaviours, including grazing, raptorial feeding, and filter-feeding. However, the temporal dynamics of their motility, feeding, and spatial distribution in relation to bacterial population density remain under-explored. Here, we quantify the behavioural ecology of excavates using high-resolution, single-cell tracking and quantitative analysis. Focussing on two Discoba species - the marine Jakoba libera and freshwater Reclinomonas americana - we identify different behavioural patterns: J. libera swims, forages and feeds, while R. americana swims and feeds. Prey availability differentially affects motility: J. libera increases the number of swimming cells when food is scarce, while R. americana shows the opposite trend. Spatial statistics reveal fundamental differences in their feeding and redistribution strategies. J. libera acts as an active forager, whereas R. americana behaves as a strict filter feeder. A third species, the anaerobic Kipferlia bialata (from a different clade), adopts a foraging strategy similar to J. libera. Together, these results elucidate the adaptive relationship between prey availability, feeding modes, and motility in bacteriovorous excavate flagellates, offering new insights into the ecological and evolutionary dynamics of microbial predators.

Anoxygenic phototrophic green sulfur bacteria (GSB; Chlorobiia) are important primary producers in anoxic and sulfidic environments, whose significance in aquatic ecosystems will expand with coastal deoxygenation. Here, we employed a uniquely comprehensive analytical approach to investigate the formation, maintenance, and collapse of a GSB bloom. We combined multi-omics -- V4V5 and synthetic long read 16S rRNA amplicon sequencing, metagenomics, and metaproteomics -- with total and GSB-specific cell counts, biogeochemical measurements, and isotopic analysis. The GSB bloom exceeded 109 cells ml-1, among the highest environmental cell densities reported to date, with up to 96 % of the bloom consisting of a single strain-level Prosthecochloris lineage (GSB-TRL01). Extreme sulfide concentrations (> 17 mM) coincided with peaking cell density and a shift in isotopic composition. Bloom persistence is supported by tightly coupled sulfur cycling, high rates of nitrogen fixation, mechanisms to tolerate oxidative stress and maintain redox balance, and nutrient acquisition through outer membrane transport systems. A shift in sulfur oxidizing enzymes towards enzymes with higher sulfide affinity proceeded bloom demise. Prosthecochloris GSB-TRL01 differs from closely related lineages in several outer membrane transport systems, including porins to transport phosphate and tonB-dependent transporters. Collectively, these findings identify physiological and metabolic strategies that may enable near-clonal Prosthecochloris populations to attain extraordinary biomass while coupling the sulfur, carbon, and nitrogen cycles in coastal euxinic environments.

As circular agricultural inputs are increasingly sought, feather hydrolysate (FH), derived from keratin-rich poultry waste, has emerged as a promising fertilizer and biostimulant. However, how FH shapes soil microbiome succession over time, and what functional potential this restructuring carries, remains poorly understood. Here, we used multi-marker high-throughput sequencing of 16S, 18S, and ITS rDNA to track soil microbial communities over 30 days following FH amendment, with sampling at days 0, 1, 4, 14, and 30. FH induced a rapid and reproducible microbial succession characterized by an early decline in alpha diversity and a pronounced day-1 bloom of copiotrophic taxa, as inferred from predicted rrn operon copy-number profiles. This initial response was accompanied by enrichment of bacterial genera previously associated with plant growth-promoting traits, including pathogen suppression, nutrient solubilization, siderophore production, phytohormone synthesis, and ACC deaminase activity. Although these groups gradually declined after the initial peak, several remained at significantly elevated abundances throughout the 30-day experimental period. In parallel, FH-treated soils showed a sustained reduction in the cumulative relative abundance of genera annotated as putative phytopathogens. By integrating temporal community profiling, rrn-based life-strategy inference, and literature-derived functional annotation, we show that FH acts as a strong ecological filter, shifting the soil microbiome toward copiotrophic and putatively plant-beneficial taxa. These findings provide a temporal framework for understanding FH-mediated microbiome restructuring and highlight the need for future studies linking inferred microbial functional potential to measured disease incidence, nutrient fluxes, and plant performance across diverse soil contexts.

Wastewater-based epidemiology (WBE) has become a valuable tool to monitor pathogens from community and municipal sources. Whereas the detection of a pathogen in wastewater can help public health agencies understand what is present in a community, it cannot provide insight into a populations preexisting immunity. Genomic rearrangement of the VDJ region of the human genome generates antibody diversity, a critical step in human immunity. We hypothesized that human antibody genes could be amplified from wastewater and sequenced, providing a snapshot of a populations antibody repertoire. Here, we report the successful amplification and sequencing of human immunoglobulin heavy and light chain variable regions from wastewater. We observed a diverse range of sequence polymorphisms in these reads, suggesting the presence of distinct antibody sequences from various clonal lineages. The sequences aligned to conserved structural regions as well as the more variable complementarity-determining regions (CDRs). Additionally, we aligned the wastewater reads to two databases of antibodies with known functions. The wastewater reads encoded the conserved CDRs1 and 2, but diverged at the CDR3 sites, which determine epitope binding. Collectively, these findings serve as proof of principle that wastewater analysis may extend beyond pathogen detection to the characterization of population immunity and human genetics more broadly.

Abstract: Background Despite the ecological importance of viral anti-defense systems (ADS), yet how viral ADS repertoires vary across microbial ecosystems remains poorly understood. Here, we integrated global virus datasets with metagenomes from heavy metal-contaminated soils and chromium-stress microcosms to investigate ecological determinants of viral ADS. Results We found that ADS repertoires were constrained by viral genome capacity, with most ADS-carrying viruses encoded a single system, whereas multi-ADS occurred mainly in larger genomes. Viral lifestyle partitioned ADS, with temperate viruses enriched in ADS targeting early-stage defenses and virulent viruses preferentially encoding ADS against mid- and late-stage defense. ADS composition also varied by host lineage and across habitats, linking viral ADS repertoires to host immune landscapes and ecosystem-specific viral strategies. Moreover, along the heavy metal contamination gradient, changes in the prevalence of ADS-carrying viruses occurred alongside shifts in prokaryotic defense profiles. In addition, expanded ADS repertoires may further increase dissemination potential of MGE-borne adaptive genes, highlighting viral ADS as a potential contributor to the adaptive evolution of microbial community. Conclusions These findings reveal that viral ADS are shaped by genomic traits, host immunity and environmental stress, with implications for virus-host interaction and microbial adaptive evolution. More broadly, this study extends anti-defense research beyond individual virus-host systems, offering an integrative, community-level perspective to guide future studies testing whether and how virus-prokaryote immune interactions contribute to microbial community dynamics and evolution in changing environments.

Dark waters harbour two-thirds of the ocean's bacterial and archaeal cells, yet the energy sources sustaining microbial life at these depths remain poorly understood. Here we integrate hydrographic profiles with metagenomic analyses and ex situ activity measurements to investigate whether carbon monoxide (CO) and molecular hydrogen (H2) are viable energy sources for epipelagic and mesopelagic microbial populations in the Mariana Trench region. Both gases were detected from 5 to 9,371 m, with concentrations generally higher in the photic zone but anomalously high in several deeper waters. Metagenomic analyses indicate a shift from phototrophic towards lithotrophic energy acquisition with depth. Microbial populations encoding CO dehydrogenases increased from 6.1% at 5 m to 45% at 1,000 m, while those encoding uptake hydrogenases were much less abundant, but increased from 0.34% to 0.63%. Ex situ incubations revealed that in situ cell-specific CO oxidation rates declined with depth, whereas corresponding H2 oxidation rates were significantly higher at 1,000 m than at the surface. At 1,000 m, cell-specific H2 oxidation rates were approximately 4,500-fold higher than those of CO. These contrasting trends suggest that CO oxidation is a widespread auxiliary energy-acquisition strategy, whereas H2 oxidation may sustain hydrogenotrophic growth in dark waters. Together, our results suggest H2 and CO are readily available to pelagic microbial populations and are biologically oxidised in the dark zone, supporting microbial energy acquisition and oceanic biogeochemical cycling.

Bacterial blooms are characterized by unusually high cell densities and exceptionally low diversity and can profoundly alter ecosystem function and services. Bacteriophages have long been considered an important cause of mortality in blooms, acting as a mechanism for control. Here, we characterize the viral ecology of a long-lasting estuarine bloom of green sulfur bacteria (Chlorobiota). We combined direct cell and viral counts with metagenomic and metaproteomic data to characterize host and phage activity at different time points. The abundance of virus-like particles (VLPs) decreased at high cell densities, suggesting reduced lytic infection rates. The dominant organism, GSB-TRL01 (genus Prosthecochloris), apparently contained a large conjugative plasmid encoding five different anti-phage defense systems. The organism's genome encoded 13 additional defense systems. Compared to the average of five defense systems per microbial genome, this enrichment suggests robust anti-phage defense capabilities. Proteins from ten different defense systems on GSB-TRL01's genome and four systems from the conjugative plasmid were expressed in the proteome. This suggests that GSB-TRL01 invests heavily in anti-phage defense, leading to reduced lysis at high cell densities and allowing blooms to persist for weeks to months. To determine whether this ability is widespread among bloom forming organisms, we compared genomes of putative bloomers to those of non-blooming organisms. We found that bloomer genomes were significantly enriched with anti-phage defense systems. This challenges traditional paradigms of phage ecology in bloom-forming systems and suggests that microbes adapted to high-density growth may have evolved mechanisms to reduce their susceptibility to phage attack.

Dissolved organic matter (DOM) is a central component of biogeochemical cycling, but molecular observations generated by ultrahigh-resolution mass spectrometry remain fragmented across studies, limiting quantitative comparisons among ecosystems. Here, we compile and harmonize a global dataset of DOM molecular traits comprising 3,999 samples from 337 studies published between 2005 and 2026. The dataset includes eight intensity-weighted molecular traits: hydrogen-to-carbon (H/C), oxygen-to-carbon (O/C), nitrogen-to-carbon (N/C), and sulfur-to-carbon (S/C) ratios; molecular mass; double-bond equivalents (DBE); modified aromaticity index (AImod); and nominal oxidation state of carbon (NOSC). Samples span aquatic, terrestrial, atmospheric, plant-associated, petroleum-related, and other environments, and are linked, where available, to geographic, physicochemical, nutrient, and climatic metadata. Molecular data were harmonized using common definitions and restricted to negative-mode electrospray-ionization FT-ICR MS to improve cross-study comparability. This resource enables cross-system comparisons of DOM molecular traits and supports analyses of environmental gradients, geographic coverage, and global DOM chemogeography.

The acquisition of sufficient nitrogen for growth, as well as the disposal of highly toxic nitrogen-containing degradation products, represent serious metabolic challenges in all multicellular organisms and microbial ecosystems. Understanding these processes requires a broadly applicable system to accurately quantify the concentration of a wide spectrum of biological amines and inorganic nitrogen-containing compounds. To date, this has been challenging due to limited specificity, selectivity, breadth and/or sensitivity of assays. Here we present a simple, optimized method based on liquid chromatography and high-resolution mass spectrometry, with an accompanying analysis pipeline, for the accurate quantification of more than 30 of these compounds, including ammonia. We demonstrate the effectiveness of this method in quantifying relevant nitrogen-containing compounds in mouse and human gut content, bacterial cultures, algal symbiosis in a cnidarian and freshwater ecosystem samples. As a proof-of-concept, we applied the method to study the influence of the gut microbiome on cecal nitrogen distribution in mice with different gnotobiotic microbiomes. This revealed a profound influence of gut microbiota composition on amino acid, ammonia, and amine concentrations in the upper large intestine. Overall, we provide a broadly applicable approach that can be used across microbial ecology fields to generate novel insights into the biology of nitrogen assimilation, exchange, and disposal.

Current environmental biosurveillance infrastructure excels at tracking known biological threats but is limited in its ability to proactively identify potential pre-emergent pathogens (PEPs). To address this gap, we developed a microfluidics-based Capture-Enrichment pipeline that isolates individual environmental cells via microdroplet encapsulation, preserving community biodiversity while enabling iterative selection against human sera. When applied to urban wastewater, this approach successfully recovered pathogens, commensals, and PEPs that fell below the detection limits of conventional amplicon sequencing. Genomic analysis revealed that wastewater-derived ESKAPE pathogens cluster closely with clinical isolates, showing that the pipeline captures clinically relevant threats. Furthermore, isolated PEPs exhibited known and emerging phenotypes associated with early-stage pathogenesis and antimicrobial resistance. These findings demonstrate that targeting PEPs can fundamentally expand the scope and quality of biosurveillance by providing a scalable strategy to identify, characterize, and close important gaps in our understanding of emerging microbial pathogens.

Accelerated retreat of the Greenland Ice Sheets is increasing freshwater discharge to coastal fjords and promoting transitions from marine-terminating glacier (MTG) regimes to land-terminating (LTG) ones. These changes strongly affect the physical and chemical features of the water column, which in turn impact the structure and functioning of fjord ecosystems. We used high-throughput imaging and DNA metabarcoding approaches to investigate seasonal (spring vs summer) differences in the structure of pelagic microbial communities in two contrasting fjord systems (MTG vs LTG) in southwest Greenland, with focus on the bacterial and heterotrophic protist components, which to date remain understudied in Greenland fjords. Our analyses revealed a marked seasonal restructuring in the microbial communities, especially in the surface layers. In spring, heterotrophic community composition in both fjords manifested a strong link with the diatom spring bloom, being dominated by typical phytoplankton-associated and copiotroph bacterial groups that can utilize algal-derived organic matter, and protists grazing on phytoplankton. In summer, heterotroph communities strongly diverged between the two fjords, most likely caused by the differential impact of MTG vs LTG glaciers on water column structure and chemistry. There was a marked increase in pico- and nano-sized heterotrophs, parasitic protists (dinoflagellate Syndiniales), and bacterial groups indicative of low-nutrient environments. In addition, bacterial, phytoplankton and heterotrophic protist communities become more strongly coupled, either through stronger interactions and/or stronger environmental filtering acting on all groups simultaneously. These observations are indicative of a shift from resource-replete systems in spring to more resourced-depleted systems in summer. However, this shift was less pronounced in the MTG fjord, where subglacial upwelling enabled the persistence of diatom bloom related communities into summer. Finally, we uncovered the presence of a unique, ice melange associated inner fjord microbial community, which shows similarities with both supraglacial and sea-ice associated communities, in the inner part of the MTG impacted fjord.

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.

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.

Virophages are small double-stranded DNA viruses that co-infect eukaryotic cells along with giant viruses. They are widespread in aquatic ecosystems and can influence microbial population dynamics by acting as an adaptive antiviral defense system, limiting production of giant virus progeny. Giant viruses extensively reprogram host metabolism to support their replication, yet little is known about how this process is altered by virophages. Characterizing these alterations may reveal the metabolic mechanisms underlying virophage-mediated changes in infection outcomes. Here, we used one of the few established host-giant virus-virophage experimental systems, consisting of the marine heterotrophic flagellate Cafeteria burkhardae, its giant virus CroV, and the virophage mavirus, to investigate lipid remodeling during viral infection and virophage co-infection. We found that infection by the giant virus strongly induced triacylglycerols containing furan fatty acids (FuFAs), a class of potent antioxidants that may protect infected cells and newly formed virions from oxidative damage. These lipids were also detected in purified giant virus particles, linking their accumulation to virus production. Co-infection with the virophage reduced the FuFA response and was instead characterized by pronounced accumulation of the betaine lipid diacylglyceryltrimethylhomoserine (DGTS). Most of the induced DGTS species were also present in the giant virus particles, suggesting that their accumulation during co-infection may be associated with altered giant virus production and lipid utilization. Together, these findings show that virophage co-infection reshapes giant virus-induced remodeling of the host lipidome, revealing a potential metabolic basis for their effects on virus production and infection outcomes.

Anthropogenic climate change is driving increased temperature and altered precipitation patterns in tropical rainforests, yet the impact of severe drought on soil viral communities and their recovery capacity remains poorly understood. Soil viruses can exert strong controls on bacterial populations impacting microbially-mediated soil processes such as carbon cycling. At the same time, viruses are very sensitive to changes in the soil environment. We leverage meta-omics data from soils collected during a two-month drought and one-month recovery experiment carried in the Biosphere 2 Tropical Rainforest artificial biome. Our results indicate that soil viral community structure responds to small scale soil habitat heterogeneity more strongly than on overall changes in moisture. Additionally, the abundance of soil viruses was associated with a higher diversity of metabolites in the soil, suggesting viruses play a key role in soil biogeochemical processes. Altogether, our study suggests that soil viruses are an active part of tropical rainforest soil microbial communities and that is necessary to understand their response to drought.

Long-term microbial population dynamics can reveal how ocean microbiomes respond to environmental variation, but resolving within-species change requires suitable genomic references. We integrated 30 PacBio HiFi long-read metagenome-assembled genomes (MAGs) from the northwestern Mediterranean Sea with monthly Illumina metagenomes from neighboring time series spanning 12 and 7 years. Population differentiation varied widely among genomes and often differed in magnitude between sites, while a subset showed increasing differentiation with temporal distance. Genetic diversity and population structure were frequently seasonal, with populations associated with warm or cold waters and others spanning both thermal regimes. Candidate adaptive genes accounted for 1.6-3.0% of coding sequences, and many were detected in both time series. Their pN/pS trajectories included regular seasonal fluctuations consistent with changing strain or ecotype contributions, alongside irregular temporal patterns. These results show that combining long-read MAG references with dense short-read time series can resolve seasonal population structure, site-specific differentiation, and candidate adaptive variation within marine microbial species, providing a framework for tracking contemporary population-genomic change in the ocean.

TonB-dependent transporters (TBDTs) play a central role in siderophore-mediated iron acquisition in the marine environment. However, assigning substrate specificity to TBDTs remains a major bottleneck in understanding the ecological and mechanistic roles of siderophore production and uptake. Here, we identify in Marinobacter nauticus two TBDTs, OptA and OptB, that share low sequence identity yet both mediate Fe-petrobactin uptake. Despite this functional overlap, they underlie distinct regulatory mechanisms, suggesting differential utilization under specific environmental conditions. Phylogenetic analyses indicate that OptA likely co-evolved with the petrobactin biosynthetic gene cluster, whereas OptB appears to have followed a distinct evolutionary trajectory, acquiring the capacity to import petrobactin as a xenosiderophore. Using resuscitated communities from the Southern Ocean, we further show that Fe-petrobactin stimulated prokaryotic growth. Based on amino acid similarity, we identified OptB-like transporters encoded in metagenomes and MAGs and show that taxa harbouring these transporters, such as Pseudoaltermonas, respond specifically to Fe-petrobactin addition. OptB-like transporters were also detected in environmental metagenomes from the Southern Ocean, whereas the petrobactin biosynthetic gene clusters were not, indicating that petrobactin primarily functions as a xenosiderophore in natural communities.

Fucoidan is the second most abundant polysaccharide in brown macroalgae, contributing up to 50% of the dissolved organic matter released daily from these algae into the ocean, substantially influencing the marine carbon cycle. Due to its complex chemical structure, fucoidan is highly resistant to microbial degradation and accumulates on the surface of macroalgae, where it contributes to regulating their microbiome. Here, we used a range of microfluidic assays to quantify the chemotactic and physiological responses of marine bacteria to fucoidan. Our results reveal that all the strains tested (14 out of 14) are attracted to fucoidan produced by two different species of brown macroalgae. Attraction occurred only at high fucoidan concentrations (0.1 to 1 mg/mL), such as those expected in the immediate vicinity of algal surfaces, whereas low concentrations elicited no response or modest chemorepulsion. Although fucoidan did not support bacterial growth under our experimental conditions, it did not impair the utilization of other carbon sources. Together, these findings suggest that fucoidan gradients can act as chemical cues guiding marine bacteria toward the nutrient-rich microenvironment of macroalgal surfaces, pointing to a potential ecological role of fucoidan in shaping macroalgal microbiota, bacterial behavior, and ultimately carbon cycling in the ocean.

The mechanisms by which coarse woody debris (CWD) affects soil microbial diversity across different spatial scales and forest disturbance regimes remain poorly understood. This study investigated the impact of CWD from multiple tree species on forest floor bacterial and fungal communities under varying landscape-scale conditions, specifically comparing old-growth forests situated on Phaozems and Retisols with mass-windthrow areas located on loamy Retisols and sandy Podzols. We analyzed both chemical compound and metagenomic profiles of 63 CWD-associated soil samples collected from the Kaluzhskie Zaseki Nature Reserve (European part of Russia). High-throughput Illumina sequencing of the 16S rRNA gene and the ITS region was used to profile both bacterial and fungal communities, respectively. Scale-dependent diversity patterns and taxonomic accumulation were assessed using GLM, NMDS, dbRDA, and iNEXT frameworks. Our findings revealed a profound spatial decoupling in forest floor microbial communities, where a localized reduction in alpha-diversity under CWD drove a sharp increase in landscape-scale gamma-diversity. While standard soil physicochemical properties rigidly dictated baseline matrix richness, CWD operated as a powerful micro-environmental hotspot overriding these constraints. Deadwood inputs filtered out dominant matrix-associated taxa, creating highly specialized micro-refugia characterized by high compositional dispersion. This niche selection was particularly pronounced beneath Quercus logs on Phaozems and Retisols. Furthermore, post-windthrow microbial responses were heavily filtered by wood traits and baseline soil textures. On loamy Retisols within the windthrow mosaic, this breakaway dynamic was highly taxon-specific: while Acer and Fraxinus CWD triggered partitioned, site-specific hotspot dynamics yielding an exceptionally large pool of unique ASVs for bacteria, the distinct enrichment for fungal communities was primarily driven by Ulmus CWD and log-free windthrow areas. Ultimately, iNEXT accumulation profiles confirmed that deadwood does not merely multiply common soil taxa, but enriches the forest landscape by injecting critical beta-level heterogeneity into the soil matrix. These insights emphasize the role of diverse CWD retention in buffering forest microbiomes against large-scale environmental disturbances across heterogeneous soil landscapes.

Metrics describing phylogenetic community structure are widely used to infer assembly processes in biological communities, but existing metrics capture only fixed phylogenetic scales and provide limited control over how rare and abundant taxa influence ecological patterns. Here we introduce q-weighted interpolated mean phylogenetic distance (qiMPD), a framework that continuously interpolates between broad evolutionary divergence and nearest-taxon distance while incorporating tunable abundance weighting. Applied to 3661 wastewater microbiomes, qiMPD revealed that abundance weighting had little effect on broad-scale phylogenetic dispersion but strongly altered local phylogenetic structure. Null-model analyses showed that within-community signals of phylogenetic overdispersion and clustering, and between-community signals of phylogenetic divergence and convergence, emerged at different combinations of phylogenetic locality and abundance weighting. Thus, the qiMPD framework enables phylogenetic scale- and abundance-resolved inference of community assembly. It is implemented in the Python package qdiv version 4.2.0.