Food Microbiology

Background: Antimicrobial resistance (AMR) is a global health crisis, necessitating alternative antibacterial strategies. Bacteriophages (phages) offer a promising solution, and their use as a therapeutic agent relies on stringent bioinformatic characterisation using whole genome sequencing (WGS) technologies. However, phages are highly diverse, with no clear consensus on best practices concerning phage DNA extraction or sequencing platform. Efficient and repeatable DNA extraction, sequencing, and bioinformatics processes are critical for safety assessments but remain poorly defined. Additionally, the impact of sequencing platform choice and DNA extraction methods on downstream genomic analyses is not well understood. Methods: We evaluated multiple DNA extraction, library preparation, and sequencing approaches using a diverse collection of Pseudomonas phages from the PhageWA biobank. Column-based and precipitation-based DNA extraction methods were compared for DNA yield and recovery efficiency. Genome sequencing was performed using short-read (Illumina) and long-read (Oxford Nanopore Technologies) platforms, incorporating multiple library preparation kits and Nanopore basecalling models. Assemblies were assessed for completeness, quality, and sequence concordance using standardised bioinformatics pipelines, with hybrid Illumina-Nanopore assemblies used as references for comparison. Results: DNA extraction efficiency varied substantially between protocols, with the Puregene precipitation-based method yielding significantly higher DNA recovery than column-based approaches when normalised to phage titre. Illumina sequencing consistently generated complete genome assemblies, although assembly fragmentation was observed for several jumbo phages when using the SeqWell ExpressPlex 2.0 library preparation method. For Nanopore sequencing, ligation-based native barcoding libraries produced longer reads than rapid barcoding libraries, while selection of the Dorado v5.0.0 basecalling model significantly improved read quality. Genome assembly success was dependent on phage genus; native Nanopore sequencing failed to assemble several Pbunavirus genomes, likely due to modified DNA bases, but an amplification-based library preparation successfully resolved these genomes. Across successfully assembled samples, Illumina and Nanopore platforms produced highly concordant genomes with comparable completeness scores, and hybrid polishing identified only minor sequence differences. Conclusions: DNA extraction methodology, sequencing chemistry, and basecalling model selection significantly influence phage WGS outcomes. Precipitation-based DNA extraction improved DNA recovery, while both Illumina and Nanopore sequencing generated high-quality phage genomes suitable for therapeutic characterisation. Nanopore sequencing provided assemblies comparable to Illumina with minimal benefit from hybrid polishing, supporting its routine use for phage genomics. These findings provide practical guidance for phage genome characterisation workflows and contribute to the development of standardised, regulatory-grade approaches for therapeutic phage assessment.

Nutrient-rich food-processing wastewaters represent valuable yet under-utilised side streams for sustainable protein production in the form of microbial biomass. Here we present an integrated dual-loop bioprocess that converts soybean-processing wastewater into microbial single-cell protein (SCP) while achieving substantial nutrient removal and product refinement. In the first loop, previously enriched microbial consortia were inoculated and cultivated in four parallel sequencing batch reactors (SBRs) for 44days at a hydraulic retention time (HRT) of 3days. This bioprocess configuration demonstrated features that support future scale-up while maintaining process stability, achieving a protein content of 33.3{+/-}3.2%, doubling the protein yield (15.32{+/-}3.49g dry weight per g soluble TKN) and quadrupling the production rate (0.29{+/-}0.06g dry weight L-1 d-1) compared to operating reactors without inoculation (HRT: 7.2days). Effluent treatment was stable, with 84% carbon and 78% nitrogen removal efficiencies, demonstrating efficient nutrient recovery. The SCP biomass was enriched in functional taxa, including Acidipropionibacterium, Lactococcus, Megasphaera, and Azospirillum, suggesting that reactor conditions and inoculum selection promoted a stable, protein-productive microbial community with potential probiotic benefits. In the second loop, bioreactor effluent was reused as aqueous matrix for heat treatment (60{degrees}C) of the SCP biomass, reducing the RNA content from 8.6% to 2.6%, with a 39% biomass loss accompanied by a 30% increase in total amino acid concentration. Hence, our valorisation approach integrates microbial biomass production, effluent reuse, and product refinement within a circular framework. The system provides a resource-efficient pathway for converting food-sector side streams into high-quality microbial community-based SCP, highlighting its potential scalability for sustainable nutrient and water management.

The development of cost-effective, serum-free media is critical for scalable cultivated meat production. This study used high-throughput screening through a Design of Experiments (DoE) approach to develop an animal-free, serum-free medium (MMM1) specifically for the C2C12 murine myoblasts model cell line with applicability in cultivated meat research including for pet food. Low cost, food-grade inputs such as methylcellulose and spirulina extract resulted in significant cell growth improvements. The optimised MMM1 formulation containing low cost, food-grade inputs, achieved cumulative population doublings comparable to 10% (v/v) fetal bovine serum over four consecutive passages. Furthermore, MMM1 supported scalable cell expansion on commercially available dextran-based microcarriers (Cytodex-3) in both static and agitated conditions in spinner flasks, matching growth rates of serum-based controls. Finally, transitioning to a food-grade DMEM/F12 basal medium maintained cell proliferation equivalent to the pharmaceutical-grade DMEM/F12, but at a significantly lower cost, thus offering a viable strategy to substantially reduce biomanufacturing costs which is a critical challenge in cultivated meat production.

Background: Human activities such as mining generally lead to increased heavy metal concentrations in the environment. While traditional remediation techniques are often costly, the use of fungi as bioremediators, known as mycoremediation, is increasingly gaining attention as a sustainable approach for removal of heavy metals. Here, we evaluated heavy metal levels inside the Kiirunavaara iron ore mine in Northern Sweden and analysed fungal responses to various metal concentrations by comparing growth and metal uptake in mine-derived isolates and closely related control isolates. Results: Sediments inside the mine were enriched in heavy metals compared to those from the outlet of the mine to natural lakes. Six Fusarium isolates were recovered from contaminated mining environments: five isolates from inside the mine were identified as Fusarium oxysporum, and one isolate from the outlet was identified as Fusarium tricinctum. Isolates from the mine and outlet showed overall higher survival and biomass production in presence of copper, iron, and zinc across a range of concentrations (up to 1000 mg/L) compared to control isolates. At the same time, these isolates often exhibited reduced relative metal uptake. As a result, mycoremediation potential, assessed as total uptake in the grown mycelium, was isolate-dependent. Conclusions: Based on these results, we conclude that Fusarium isolates from the Kiirunavaara mine show increased growth in media enriched with heavy metals compared to closely related control isolates. We additionally show that mycoremediation potential is not necessarily associated with environmental origin. Instead, mycoremediation potential should be evaluated on a case-by-case basis for each isolate and based on specific needs for mycoremediation.

Background: Biochemical, biophysical and structural characterisation of isozymes from the ubiquitous family of iron- or manganese-dependent superoxide dismutases (SodFMs) requires the purification of high-quality preparations of recombinant enzymes. Determination of their key biochemical parameter, their catalytic metal-preference, requires the comparison of the catalytic turnover of samples loaded exclusively with iron versus samples loaded exclusively with manganese. Both of these aims are inhibited by the potential contamination of recombinant preparations of SodFMs, prepared by heterologous overexpression inside Escherichia coli cells, by even low levels of endogenous SodFMs from the host, both of which show very high turnover with either manganese (E. coli MnSOD) or iron (FeSOD). To overcome this problem, we created a strain of E. coli lacking the endogenous SodFMs. Here, we characterised this E. coli BL21 (DE3) {Delta}sodA{Delta}sodB strain, determining the physiological effects of SodFM deletion and demonstrating its utility for producing recombinant SodFMs for in vitro characterisation and use. Results: Genomic analysis verified the targeted gene deletions, without off-target effects. Growth, expression, elemental analysis, and proteomic data confirmed a lack of physiological defects of the strain except for a known inability to grow on glucose, which is overcome by heterologous SodFM expression. We demonstrate the utility of the strain for the efficient production of diverse recombinant SodFMs, including highly divergent, understudied isozymes, including the ability to precisely control the metal-loading of the heterologously expressed protein. Conclusions: The E. coli strain described herein is a useful microbial cell factory for production of recombinant SodFMs, which should find widespread utility as expression host of choice, enabling more efficient production of protein for studies of the biochemical, biophysical and structural properties of this remarkable family of metalloenzymes.

Background Sequencing of monkeypox virus (MPXV) from antigen rapid diagnostic tests (Ag-RDTs) could expand genomic surveillance during outbreaks in decentralized settings where sequencing equipment and cold chain transportation are unavailable. We aimed to evaluate the efficacy of MPXV sequencing from MPXV antigen Ag-RDTs. Methods We tested MPXV Ag-RDTs from three different brands using serial dilutions of cultured MPXV subclade Ib. Positive Ag-RDTs with different intensities of the test band were stored for 19 days, either at room temperature or at +4 degree C, after which viral DNA was extracted from the pads of the test cassettes. Metagenomic and tiled amplicon-based Oxford Nanopore technology sequencing methods were then performed. Results Viral DNA extraction from MPXV Ag-RDTs showed a consistent decrease in viral load of 3 logs compared to the initial viral load of the applied viral dilution. Both sequencing methods were able to reach high coverage but the tiled amplicon-based demonstrated more consistent results with a coverage always above 85%. Conclusion This proof-of-concept supports the development of this approach in the field, with the aim of combining genomic surveillance with decentralized testing, including in remote areas.

Melanins are biological macromolecule with immense functionality synthesised by a wide spectrum of living organism. It is mainly synthesised by the oxidative polymerization of indolic and phenolic compounds through several enzymatic process. It has wide spread application in agriculture, cosmetic and therapeutic industry due to its various properties including antioxidation ability, UV protection efficiency and anticancer activity. Because of this wide range of application in different sectors, large scale production and commercialization attains enormous consideration. The present study deals with the effect of 12 different process parameters on melanin production viz., production media, incubation time, inoculum concentration, pH, temperature, agitation, carbon source, phosphate and magnesium source, CuSO4.5H2O, sodium chloride and L-tyrosine on melanin production by Pseudomonas stutzeri strain BTCZ 109 obtained from Arabian sea sediments was evaluated. After optimizing the important process parameters, the bacteria showed about ~4.65 fold increase in melanin production compared to unoptimized cultural conditions. The melanin optimized through this method was found to be nano sized. The Nano sized DOPA melanin in treating Skin cancer cell line SK ML28 which showed a dose-dependent activity with an IC50 value of 164 g/mL. All these results highlight the therapeutic efficiency of DOPA melanin Nano particle as promising bioactive molecule.

Culture conditions were optimized for the production of melanin nanoparticle by the bacterial strain Pseudomonas stutzeri BTCZ 305. Response surface methodology was employed for determining the most significant fermentation conditions using variables including, pH, temperature and L-tyrosine concentration identified through one-factor-at-a time approach. Box-behnken design consisting of 17 different combinations of all these factors were performed. Using this methodology, a quadratic regression model was built and the optimal combinations of media constituents for maximum melanin production 1192.27 microg/mL were determined as temperature (32.5 degreeC), pH (8.5) and L-tyrosine concentration (7 g/L). Melanin production was obtained experimentally coincident with the predicted value and the model was proven to be adequate. The nanostructural distribution, its stability in colloidal suspension and particle size were also characterized with the help of TEM, particle size analysis and Zeta potential. The potent applicability of this molecule in anti-inflammation and wound healing was also elucidated.

Microbial succession can be used to estimate the postmortem interval (PMI); however, the impact of spatial variability within the cadaver decomposition island (CDI) is not well understood. This study examined spatial variation in necrobiome communities where soil samples were collected over time and across spatial locations from the CDIs of two human body donors. Microbial communities were characterized using 16S rRNA sequencing and statistical modelling of variation and PMI were conducted. Necrobiome community metrics showed no significant differences across anatomical sampling sites within the CDI at a single timepoint. Temporal modelling identified 11 taxa with significant relationships to PMI in one donor, with spatial sampling having a minimal impact on the PMI relationships. Non-linear approaches also identified taxa with likely PMI signals in the second donor. These findings demonstrate that opportunistic sampling can capture robust linear and non-linear PMI signals in later decomposition stages.

The minimum inhibitory concentration (MIC) is a standard measure for describing the lowest effective dose concentration of an antimicrobial compound in clinical practice; yet, conventional assays often require a substantial amount of antimicrobial compound, limiting their use with scarce, purified agents. Here, we describe a simple and reproducible technique to evaluate the MIC for purified compounds with a limited sample size. The protocol describes the MIC steps against a bacterial strain while minimizing the use of reagents and materials. It is helpful for screening purified natural products as antimicrobial agents and in early-stage drug discovery. The protocol adapts standard microplate-based assays for two-fold dilution of the compound, ensuring their applicability in microbiological studies. The MIC value of the standard antibiotic kanamycin against Staphylococcus aureus, Vibrio fischeri, Klebsiella pneumoniae, and Escherichia coli was determined using our method, and was found to be consistent with the conventional broth microdilution method, validating its reliability. Therefore, this method offers a practical and viable solution for antimicrobial drug discovery, addressing the disparity between limited compound availability and comprehensive microbiological assessment of MIC.

Background: The N-terminal ectodomain (NTE) of the SARS-CoV-2 membrane (M) glycoprotein is a short, flexible region that remains exposed on the virion surface and exhibits immunogenic potential across multiple coronaviruses. Despite its small size and conformational plasticity, this region contains conserved linear epitopes that may serve as practical surrogates for full-length proteins in serological diagnostics. Objective: To develop and evaluate a synthetic peptide-based diagnostic assay targeting the NTE of the SARS-CoV-2 M protein. Methods: Epitope prediction, peptide synthesis, and antibody affinity assays were performed to design homomultivalent peptide analogs that exploit avidity effects through disulfide polymerization. The resulting peptide antigens were tested in an enzyme-linked immunosorbent assay (ELISA) using clinical samples from RT-PCR-confirmed COVID-19 patients and biobanked controls. Results: The selected peptide analogs (M1, M1i, M1s) corresponded to a conserved surface-exposed motif of the SARS-CoV-2 M protein. Polymeric M1 exhibited a twofold gain in apparent affinity (Kdapp = 4.33 nM) compared with the monomeric form (Kdapp = 8.00 nM). Clinical validation using 1,222 patient samples yielded a sensitivity of 95.26% and specificity of 52.27%, with an overall diagnostic accuracy of 88.70%. Conclusion: The M peptide analogs demonstrate that synthetic peptide antigens can serve as stable, high-sensitivity surrogates for whole-protein assays. This design principle may be applied to other emerging pathogens where rapid assay development and scalability are critical. Keywords: Peptides, Antibodies, COVID-19, Enzyme-Linked Immunosorbent Assay, Protein Binding

Diarrheal disease remains a significant cause of morbidity and mortality in children under five years of age in low and middle-income countries. Identifying the etiology of diarrheal episodes represents a significant challenge in contexts with limited access to laboratory diagnostic methods, where therapeutic decisions are often based solely on clinical criteria, such as the presence of blood in the stool recommended by the World Health Organization (WHO). In this scenario, identifying combinations of clinical signs and symptoms could contribute to more precise therapeutic decisions. In this study, we developed and internally validated a predictive model based exclusively on clinical variables to identify episodes attributable to Shigella spp. infection, using as a reference an etiological outcome defined by quantitative molecular methods (qPCR). Secondary data from the Malnutrition-Enteric Diseases (MAL-ED) cohort, a multicenter study conducted in eight countries (2009-2016), with longitudinal follow-up of 1,715 children, were used. Diarrheal episodes were reconstructed from a disease surveillance database. Subsequently, fecal samples were temporally linked to these episodes, allowing the incorporation of molecular etiological data, defining diagnostic positivity for Shigella spp. After eligibility criteria and data processing, a final analytical database was obtained with 3,342 episodes and nine clinical variables (age, sex, blood in stool, bowel movement frequency, diarrhea duration, dehydration, fever, vomiting, and hospitalization) selected after multicollinearity assessment. Five machine learning algorithms were evaluated, with performance estimated by internal validation. Logistic regression showed the best discrimination (AUC = 0.789) and good calibration (Brier score = 0.077). At a cutoff point of 0.46, the model achieved a sensitivity of 0.753 and a specificity of 0.708. In comparison, the WHO score showed inferior performance (AUC = 0.556; sensitivity = 0.147; specificity = 0.965). The high negative predictive value (0.96) highlights the model's ability to exclude cases not attributable to Shigella spp., suggesting potential utility as a tool to support primary clinical diagnostic decision-making and rational use of antibiotics in resource-limited settings.

Microbial fuel cells (MFCs) technology offers sustainable electricity production. Current research largely focuses on few select model organisms, therefore the true prevalence of exoelectrogenesis amongst bacteria remaining largely unknown. We present a broad-scale survey of monomicrobial electricity production among environmental bacterial isolates inoculated in MFCs, using model organism Shewanella oneidensis MR-1 as a benchmark. Of the assessed taxa, 11-22% displayed exoelectrogenic activity, exceeding current predictions and identifying a further three novel exoelectrogenic species. Phylogenetic analysis based on the 16S sequences enabled the evolutionary relationship between isolates to be visualised, revealing that exoelectrogenesis is non-randomly distributed and phylogenetically conserved. Polarisation studies were implemented, revealing that numerous electron transfer mechanism were being utilised to perform exoelectrogenesis. The results of this study imply that bacterial electricity production is more widespread amongst culturable bacteria than previously estimated, with implications for bioprospecting novel exoelectrogens and predicting electrogenic activity in diverse microbial communities.

Virus-like particles (VLPs) are an abundant component of microbiomes with critical ecological roles such as population control through viral predation and horizontal gene transfer. Studying the collection of viruses in microbiomes (the virome) through metagenomics has provided important insights into the composition and functions of VLPs in different environments. However, the current gold-standard method for VLP purification, CsCl density gradient ultracentrifugation (CsCl), is low throughput, time consuming and suffers from biases which limits the ability to study viromes in larger sample sets and can interfere with data interpretation. Here we present an anion exchange (AEX) chromatography-based approach for the purification of VLPs from microbiome samples that allows for significant increases in throughput and reproducibility while achieving VLP purity levels similar to or higher than CsCl. We used microbiome samples of known composition to first establish and evaluate the AEX approaches and compare them to CsCl. We implemented the AEX approach both for fast performance liquid chromatography (FPLC) and in multi-well plates. We compared the VLPs purified with CsCl and AEX using shotgun metagenomic sequencing and found that AEX performs similarly to or better than CsCl for purification of VLPs. AEX purified VLP-fractions captured significantly more viral DNA compared to CsCl. We also found that both AEX and CsCl were capable of capturing viruses present at extremely low relative abundances (<0.001%). Additionally, we found that DNase digestion and CsCl may bias against filamentous phage morphologies. Finally, we purified VLPs from conventional murine feces using AEX and CsCl. AEX purified murine fecal VLPs had a much higher viral DNA content (85%) than CsCl (41%). While there were some differences in viral contigs assembled from AEX and CsCl VLP metagenomes, these method unique viral contigs made up only small proportions (<8%) of the relative abundance in the VLP metagenomes. AEX, particularly in the multi-well format, enables the ultrapurification of VLPs from tens to hundreds of samples in a single day thus facilitating virome studies with the large sample numbers needed for translational and clinical research.

Fission is essential for proper mitochondrial function and for cellular homeostasis. Dysfunction in mitochondrial fission is associated with several neurological disorders, including the rare and lethal encephalopathy EMPF1, which is caused by de novo heterozygous DNM1L variants. DNM1L encodes the mitochondrial fission mechanoenzyme DRP1, which can intrinsically self-assemble and induce membrane scission. Wild-type DRP1 puncta that appear throughout the cytoplasm are thought to be pre-scission complexes of well-ordered oligomeric assemblies. Immunofluorescence imaging of patient-derived EMPF1 fibroblasts carrying assembly-deficient DNM1L variants reveals elongated mitochondrial networks consistent with impaired fission. Despite this loss-of-function phenotype, these cells retain essentially wild-type numbers of DRP1 puncta. We confirmed the previously reported inability of purified pathogenic DRP1 variants p.Gly363Asp and p.Gly401Ser to assemble under conditions in which WT DRP1 forms helical polymers. Under macromolecular crowding conditions, however, both wild-type and mutant DRP1 access condensed states whose formation depends on protein concentration and solution conditions. Acute treatment of EMPF1 fibroblasts with 1,6-hexanediol preferentially alters DRP1 puncta fluorescence intensity and distribution in mutant cells relative to wild type, indicating genotype-dependent differences in puncta material properties. Together, these findings support a model in which DRP1 puncta occupy a continuum of condensed states, only a subset of which mature into fission-competent assemblies, revealing biomolecular condensation as a previously unrecognized layer of DRP1 regulation. Biasing DRP1 along this continuum may provide a mechanistic basis for impaired fission in EMPF1 and suggest opportunities to restore productive assembly in select pathogenic contexts.

Heterochromatin protein 1 (HP1 is an intrinsic component of heterochromatin domains where it is involved in a diverse set of functions including heterochromatin spreading and organization, chromatin compaction and transcriptional silencing. It has been suggested that HP1 functions through a phase separation mechanism, a process that has been observed in vitro in the presence of N-terminal phosphorylation, nucleic acids and nucleosome arrays. HP1 can also interact with numerous binding partners that contain a specific motif called an HP1 access code (HAC). HACs recognize and bind to an interface formed by the chromoshadow (CSD) domains in the HP1 homodimer, the functional form of the protein. It has been shown that some HP1 binding partners can enhance its phase separation ability while others disrupt the process. Here, we focus on the interactions between HP1 and three binding partners, namely the p150 subunit of the chromatin assembly factor 1 (CAF-1), the N-terminal domain of the lamin B receptor (LBR), and the mitotic protein Shugoshin 1 (Sgo1). Using phase separation assays, we show that CAF-1 prevents HP1 phase separation while LBR and Sgo1 enhance it. Binding assays, mutational studies, NMR spectroscopy and computational analysis allow us to dissect the contributions of the HAC motifs, the charge patterns of the binding partner sequences and the role of N-terminal phosphorylation on HP1 in condensate formation. Our results demonstrate that each binding partner uniquely balances these contributions to modulate the properties of HP1, while electrostatic interactions dominate the regulation of phosphorylated HP1. These results suggest that HP1 binding partners play an important role in the modulation of its properties and the regulation of its functions in distinct biological contexts.

We showed before that the endogenous peptide Nociceptin blocks the premature differentiation of oligodendrocytes (OLGs), preventing untimely precocious myelination in the developing brain. Consistent with this early function, Nociceptin brain expression is developmentally regulated, sharply decreasing with the initiation and progression of myelination. However, we now found that at difference with controls and relapsing-remitting multiple sclerosis (RRMS), Nociceptin levels are highly elevated in cerebrospinal fluid from patients with the most severe progressive MS (PMS) forms. This questioned whether Nociceptin early developmental effects could be latter recapitulated, interfering with remyelination in PMS. This possibility was tested by inducing experimental autoimmune encephalomyelitis in older mice, at an age equivalent to that with increased risk of RRMS transition into PMS. Older animals develop persistently highly debilitating clinical symptoms, and display both brain and spinal cord demyelination. Importantly, these mice exhibit elevated brain Nociceptin levels, and their treatment with an antagonist of the Nociceptin receptor (NOR) elicits a regression of clinical scoring that is accompanied by higher ratios of OLGs/OLG progenitor cells, increased myelination, and reduction of reactive astrocytes. These findings suggest that Nociceptin may be a crucial player in the age-related progression of MS; interfering with OLG maturation and remyelination, and perhaps further exacerbating neurological dysfunction by targeting astrocyte populations. The upregulation of Nociceptin secretion by human astrocytes in response to proinflammatory cytokines, also points to this peptide as a mediator of microglia-astrocyte interactions supporting MS progression with aging. NOR may offer a novel pharmacological target for ameliorating the devastating effects of MS progression.

Social media users often feel that time vanishes while scrolling, but real feeds confound novelty, rewards, social signals, and self-paced control, leaving the driver of this distortion unclear. We tested whether self-paced visual exploration is sufficient to compress subjective time by comparing active scrolling with passive, yoked viewing and a static baseline. Twenty-three adults viewed sequences of natural images under three within-subject conditions: Scrolling (self-paced mouse clicks), Watching (a passive, yoked replay of their own scrolling sequence), and a Baseline (a static image). Participants estimated the elapsed duration of each block. Subjective duration was most compressed under Scrolling (48% of elapsed time), followed by Watching (51%) and Baseline (65%). Two sources separated these effects. Adding back the empty inter-image fixations brought the image-rich conditions to within seconds of the Baseline, showing that observers barely counted the blank gaps; the Scrolling--Watching difference, by contrast, was independent of these shared gaps, isolating self-paced control as a second source of compression. Electrophysiology linked that control to anticipatory neural states and the timing of early visual responses, with no amplified encoding of individual images. The results favor an attention-weighted account of timing, on which subjective duration tracks how much attention reaches the clock, a resource that a self-paced stream and its uncounted gaps both draw away.

The nucleoid, which houses mtDNA within the mitochondrial matrix, is a phase-separation-driven biomolecular condensate capable of carrying out a broad spectrum of complex functions, including DNA replication, transcription, and repair. Here, we show by data-driven computational modelling that the concept of a tightly regulated intranucleoid deoxynucleoside triphoshate (dNTP) pool explains the observation that the number of mtDNA base pairs per cell is conserved in human hybrid cell lines regardless of the size of the introduced mitochondrial genome. This concept is then used to address the enigmatic observation that the synthesis rate of the short DNA strand called 7S DNA, which is part of the triple-stranded displacement loop (D-loop) found in the main noncoding region of mtDNA, increases dramatically during the cell cycle. Collectively, our quantitative analyses suggest that the mammalian mtDNA replisome uses a strictly controlled intranucleoid dNTP pool based predominantly on the synthesis and degradation of 7S DNA. One potential evolutionary explanation for this mechanism is that it offers an energetic advantage by enabling greater reliance on the salvage pathway for mtDNA replication.

Medical foundation models compress biomedical data into embeddings that support diverse downstream clinical tasks. However, successful model deployment is hampered by performance degradation on external data. It is recognized that embeddings capture acquisition signatures, such as hardware and technical differences, in addition to biology. Effective harmonization must remove the acquisition signature while preserving biological signals, a trade-off that current methods fail to balance adequately. Input-level normalization fails to eliminate acquisition signatures from embeddings, whereas embedding-level methods adjust features in an untargeted manner. We present FEATMAP, a harmonization approach that models acquisition signatures as geometric distortions between manifolds of similarly arranged embeddings. Using paired data that isolate the effect of acquisition signatures, FEATMAP fits a single global affine transformation per foundation model to correct acquisition signatures directly in the embedding space. This targeted, reusable correction aims to preserve biological and demographic variation while harmonizing across acquisition signatures. Across scanner and foundation-model harmonization in digital pathology and field-strength harmonization in brain MRI, FEATMAP improves cross-condition embedding similarity, reduces performance gaps without retraining, and suggests potential for the alignment of disparate embedding spaces.