Biology subjects

Nagarajan, N.

Publications and source records attributed to Nagarajan, N..

At least 19 recordsLinked to original sources

bioRxiv2026

Progranulin deficiency promotes neuroinflammation through cathepsin B-mediated activation of the NLRP3 inflammasome

Haploinsufficiency of progranulin (resulting from mutations in the GRN gene) is a major genetic cause of frontotemporal dementia (FTD), which is characterized by profound changes in personality and behavior, progressive impairments in executive function, speech, language and/or movement, TDP-43 pathology, lysosomal dysfunction, and neuroinflammation. Studies in progranulin-deficient mouse models have demonstrated the critical role of neuroinflammation in disease pathogenesis, as deletion of NF-kB or complement factors prevents FTD-associated behavioral deficits. While progranulin is known to be anti-inflammatory, the precise molecular mechanism by which its deficiency triggers inflammatory cascades remain unclear. Here, we investigate the involvement of the NLRP3 inflammasome in progranulin-deficient models, including mice, human microglial cells, and patient fibroblasts. In Grn mice, we found increased levels of several inflammasome-related proteins, including procaspase-1 and cleaved IL-1{beta}. Similarly, GRN knockout (KO) microglia cells showed significant increases in levels of procaspase-1, NLRP3, and cleaved IL-1{beta}. Moreover, KO cells had increased NLRP3 oligomerization, suggesting that progranulin negatively regulates inflammasome assembly. We also investigated the potential link between lysosomal dysfunction and NLRP3 inflammasome activation in progranulin deficiency. We found that pharmacological inhibition of cathepsin B reduced NLRP3 inflammasome oligomerization as well as inflammatory cytokine expression in GRN KO cells. Additionally, siRNA knockdown of cathepsin B reduced levels of procaspase-1 and cleaved IL-1{beta} in GRN KO cells. Finally, we found that heterozygous GRN fibroblasts exhibited similar increases in procaspase-1 and cleaved IL-1{beta} levels, and these increases were corrected by treatment with an antisense oligonucleotide (ASO) that increase progranulin protein levels. Overall, our results demonstrate that progranulin deficiency promotes NLRP3 inflammasome assembly and activity through cathepsin B-mediated signaling, thereby establishing a mechanistic link between lysosomal dysfunction and increased inflammation. The ability of the GRN-targeting ASO to correct NLRP3-mediated inflammation highlights a promising therapeutic strategy for FTD-GRN and inflammation in other neurodegenerative disorders linked to progranulin deficiency.

neuroscience↗

bioRxiv2026

Accessible spatial host-microbe profiling in tumour tissues

The ability of current spatial transcriptomics platforms to sensitively and specifically detect tissue-resident microbes alongside the whole host transcriptome remains limited. Here we present HOst MicrobE Spatial-seq (HOMES-seq), a Visium-based workflow for joint spatial profiling of microbial species and the host transcriptome in formalin-fixed paraffin-embedded (FFPE) colorectal tumours. HOMES-seq incorporates an analytical framework to distinguish contaminant-derived signals from bona fide tissue-resident microbes while improving detection sensitivity and reducing sequencing costs relative to existing approaches.

microbiology↗

bioRxiv2026

Host recovery after skin barrier disruption is individual-specific and associated with microbial functions

The human skin is repeatedly exposed to mechanical and environmental stress, particularly in common skin diseases such as eczema, and yet the determinants of recovery remain poorly understood. Using longitudinal, multimodal profiling of skin physiology, structure (Raman spectroscopy), and microbial communities (shotgun metagenomics), we investigated in a human cohort (n=36 subjects, x2 sites, x6 timepoints) how host-microbe interactions could jointly shape recovery. Despite baseline variability in physiological parameters, we established that our protocol enables a defined disruption of the stratum corneum. While recovery trajectories for host attributes were notably consistent across age groups and body sites, individual-specific differences in recovery timelines were observed. To assess the role of the skin microbiome, several key time-dependent changes in microbial species were identified including enrichment of select Cutibacterium and Staphylococcus species and depletion of Corynebacterium and Malassezia species. Clustering of microbiome stability profiles across subjects and sites identified 6 distinct groups which associate with varying host-recovery patterns and microbial functions. Finally, joint hazards modelling of recovery timing revealed significant contributions from microbial taxa, functions and stability groups, highlighting the under-appreciated role of host-microbial interactions in response to skin stress and in the recovery process.

genomics↗

bioRxiv2026

Skiver: Alignment-free Estimation of Sequencing Error Rates and Spectra using (k, v)-mer Sketches

BackgroundQuality control of sequencing datasets is an important first step in numerous bioinformatics pipelines such as mapping, variant calling, and assembly. Existing methods typically rely on alignment results or quality scores. However, the reference genome is not always available for mapping, and uncalibrated quality scores may yield biased estimates of error rates. ResultsWe present skiver, a reference-free and alignment-free algorithm that estimates sequencing error rates and calibrates Phred quality scores using (k, v)-mer sketches. By identifying the consensus from the sketched (k, v)-mers, skiver estimates survival and hazard rates that capture positional information of sequencing errors. Across simulated and real datasets from various sequencing platforms, skiver accurately recovers sequencing error rates and the proportion of different error types. We further demonstrate its ability to calibrate Phred scores. It also reliably handles complex datasets containing multiple strains, alleles, and repetitive regions through an iterative outlier filtering strategy. Skiver is computationally efficient and supports tools that need accurate sequencing error rate estimates or quality scores as prior knowledge. Availability and ImplementationAn implementation of skiver is available at https://github.com/GZHoffie/skiver, and dataset and scripts for reproducibility are available at https://github.com/GZHoffie/skiver-test.

bioinformatics↗

bioRxiv2026

GuFi phages represent the most prevalent viral family-level clusters in the human gut microbiome

Despite being important ecological modulators of the gut microbiome, bacteriophage diversity and function remain under-characterized. We show that short-read metagenomic surveys can miss even globally highly prevalent viral family-level clusters (VFCs), that can be readily assembled and characterized with long-read metagenomic data from a relatively small cohort (n=109). While gut Bacteroidota phages have been the prevailing focus in the literature, we show that highly prevalent gut phage families frequently have Firmicutes hosts (termed GuFi phages), with broad host ranges verified using proximity-ligation (Hi-C) sequencing data. High-throughput sequencing of virus-like particles from fecal samples detected frequent enrichment of GuFi phages across samples, revealing their under-appreciated impact on the gut microbiome. We report the first in vitro induction and imaging of members of prevalent GuFi clades including the candidate orders Heliusvirales, Astravirales (VFC 2) and Suryavirales (VFC 4). Our findings underscore the importance of GuFi phages with broad host ranges in the gut microbiome, and the utility of long-read sequencing for viral discovery, paving the way for deeper insights into the role of bacteriophages in human health and disease.

microbiology↗

bioRxiv2025

Bacteroides-driven metabolic remodelling suppresses Clostridioides difficile toxin expression in mixed biofilm communities

Clostridioides difficile is a major cause of hospital-associated diarrhoea worldwide. The intricate interactions between C. difficile and the resident gut microbiota play a crucial role in determining the outcome of C. difficile infection (CDI), although the molecular mechanisms underlying many C. difficile-commensal interactions are not understood. Here we show that selected Bacteroides species can inhibit C. difficile growth within mixed biofilms. A transcriptomic analysis of C. difficile-Bacteroides biofilms showed significant metabolic shifts, with distinct changes in carbohydrate and amino acid metabolism and, interestingly, a downregulation of C. difficile toxin gene expression. A significant reduction in C. difficile toxin production was evident in C. difficile-Bacteroides cocultures, irrespective of the extent of C. difficile growth inhibition. Notably, Stickland fermentation of proline, which is known to repress toxin synthesis, was upregulated in C. difficile, while proline synthesis was induced in the cocultured species B. vulgatus and B. dorei. Furthermore, upregulation of proline reductase pathways and consequent toxin repression were evident within a synthetic 9-species gut commensal biofilm community containing multiple Bacteroides spp. Thus, leveraging multiomics approaches, we demonstrate a potential cross-feeding mechanism where proline produced by B. dorei and B. vulgatus is utilised by C. difficile through Stickland fermentation to drive toxin repression. Our study reveals a new mechanism of microbiota-mediated control of a key virulence factor involved in C. difficile pathogenesis while enabling pathogen co-existence within a polymicrobial commensal community. ImportanceC. difficile infection, characterised by severe diarrhoea and colitis, has a significant impact on healthcare settings globally due to the high rates of recurrence. CDI is closely associated with the gut microbiota status and the use of antibiotics, yet the mechanistic basis of interactions between the causative bacterium C. difficile and individual gut commensal species remains poorly defined. Here, we demonstrate inhibitory effects of Bacteroides species on C. difficile through nutrient competition and a cross-feeding mechanism between these abundant gut commensals and this pathogen which blocks expression of key C. difficile virulence factors. Our findings offer insights into the effective design of microbiota consortia to prevent and treat CDI.

microbiology↗

bioRxiv2025

High-throughput single-cell isolation of Bifidobacterium strains from the gut microbiome

While metagenomic studies can highlight strain-level diversity within microbial communities, the diversity obtained is often incomplete. Moreover, their utility for phenotypic characterizations remains hampered without the subjacent, systematic isolation procedures required with traditional culturomics. In this work, we examined the capabilities of a commercially available high-throughput single-cell dispensing solution to selectively target and isolate diverse strains of a genus of interest, Bifidobacterium, from fecal samples. The general performance of the single-cell dispenser was first assessed, revealing a low doublet frequency of 11.5% and an ability to preserve global genus diversity when a mixed culture of Bifidobacterium was dispensed. Culturing-related factors including the use of an effective selection medium, such as the Bifidus Selective Medium supplemented with mupirocin (BSM-MUP), and the length of incubation were found to be critical in determining isolation success. Leveraging these results, we obtained a total of 622 viable isolates from five Singaporean fecal samples, among which [~]98.7% were bifidobacteria. Whole-genome sequencing of 96 isolates revealed six different Bifidobacterium species with both inter- and intra-subject lineage diversity, and the majority of the assemblies were not previously captured using metagenomic sequencing. Our findings validate the ability of high-throughput culturomics to recover diverse, novel bacterial strains and open up the possibility to robustly interrogate their functional characteristics, advancing our understanding of important microbiomes. IMPORTANCEThe field of microbial culturomics is still in its early stages. Enhancing our ability to isolate and phenotypically test bacterial strains from their multicellular environment is crucial for advancing microbiome research and healthcare development. Given the time- and cost-inefficiencies of traditional culturing methods, a more efficient, high-throughput approach to obtain isolates is needed. In the present study, we assessed a single-cell dispensing platform and developed a workflow to isolate diverse Bifidobacterium strains from fecal samples. We demonstrated here the capability of this novel technology to efficiently obtain hundreds of isolates of a targeted organism, covering both species and strain diversities. This generalizable and scalable method allows for the high-throughput recovery of microbes with little optimization needed for novel targets, providing a fundamental step in improving the culturomic framework to complement metagenomic approaches and enable isolate-level functional studies of important microbiomes.

microbiology↗

bioRxiv2025

RNA structural heterogeneity in a eukaryotic cell influences its heat shock response

RNA structure-based gene regulation remains under-explored in eukaryotes. While RNA can form different conformations in solution, the extent to which it folds into structure ensembles and how the different conformations regulate gene expression still needs to be fully understood. We coupled the SHAPE compound NAI-N3 with direct RNA sequencing to identify structure modifications along a single RNA molecule (sm-PORE-cupine). Using a combination of base mapping and direct signal alignment, we boosted the percentage of mappable RNA molecules from direct RNA sequencing. Using Bernoulli Mixture Model (BMM) clustering, we show that we can separate RNA structure ensembles from ligand-bound and unbound riboswitches accurately, identify isoform-specific structure ensembles along the SARS-CoV-2 genome, and determine RNA structure ensembles in the transcriptome of a eukaryote, C. albicans, at yeast (30{degrees}C) and hyphae (37{degrees}C) states. We observed that RNAs are more structurally homogenous at 37{degrees}C compared to 30{degrees}C, are more variable in vivo than in vitro, and show higher homogeneity in 3UTRs than in the coding region. We also identified structure ensembles that are associated with changes in translation efficiency and decay in C. albicans at 30{degrees}C and 37{degrees}C and validated translational changes using reporter assays. Our work shows that single-molecule RNA structure probing using direct RNA sequencing can be applied to diverse transcriptomes to study the complexity and function of RNA structures.

molecular biology↗

bioRxiv2025

Pathogenic fungus exploits the lateral root regulators to induce pluripotency in maize shoots

Biotrophic plant pathogens secrete effector molecules to redirect and exploit endogenous signaling and developmental pathways in their favor. The biotrophic fungus Ustilago maydis causes galls on all aerial parts of maize. However, identification and characterization of the responsible gall-inducing effectors and corresponding plant signaling pathway(s) are largely elusive. Here we reveal molecular components acting downstream of a group of plant TOPLESS (TPL)- corepressor interacting fungal effectors that are directly involved in gall formation. We classify these effectors into two classes based on distinct phenotypic responses when individually expressed in planta. While class I responses are characterized by leaf chlorosis, transgenic plants expressing class II TPL-interacting protein (Tip) effectors show a derepression of the AtARF7/AtARF19 branch of auxin signaling, resulting in pluripotent calli formation without the external addition of phytohormones. Subsequent comparative transcriptomics in maize also demonstrates a highly significant overlap of genes up-regulated during U. maydis-triggered leaf gall formation and during the developmental initiation of lateral root formation. This suggests that U. maydis can hijack the lateral root initiation pathway to induce galls in maize shoots. We demonstrate that underlying this is the transcriptional upregulation of downstream LATERAL ORGAN BOUNDARIES DOMAIN (LBD) transcription factors. Maize mutants in two LBD genes (ra2, rtcs) led to significantly reduced gall formation following U. maydis infection on homozygous mutants. This study reveals a set of dominantly acting cell proliferation-inducing fungal effectors and provides novel insight into plant developmental pathways that can be hijacked by biotrophic pathogens to induce gall formation.

plant biology↗

bioRxiv2025

Malassezia and the Asian menopausal skin

BackgroundPost-menopausal women undergo significant dermatological changes, including thinning skin and reduced sebaceous gland activity, alongside increased incidence of dermatological diseases and hair loss. These changes reshape the skins ecological niche, influencing the skin mycobiome composition and behavior. Malassezia, a lipid-dependent human pathobiont and dominant fungal resident of skin, has been implicated in several dermatological disorders. We hypothesize that shifts in Malassezia populations contribute to post-menopausal skin disorders through altered host-microbe interactions. ResultsShotgun metagenomics of facial and scalp skin from 345 Asian women were stratified by menopausal stage (pre- [N=171], peri- [N=36], and post-menopausal [N=138]) and revealed the presence of seven out of the seventeen recognized Malassezia species: M. globosa, M. restricta, M. arunalokei, M. furfur, M. dermatis, M. japonica, and M. sympodialis. Detection frequencies of several species varied markedly across menopausal groups. Notably, M. globosa was detected 20% more frequently on the scalp of post- versus pre-menopausal women. Reduced sebum concentration on post-menopausal womens skin correlated with increased M. globosa abundance. In vitro co-culture of keratinocytes with Malassezia spp. showed cells tolerated fungal loads up to 104.5 CFU/cm{superscript 2}, but severe cytotoxicity was observed at [≥]105.5 CFU/cm{superscript 2}. M. globosa elicited the highest cytotoxicity towards keratinocytes. All Malassezia spp. tested invaded keratinocytes and triggered strong pro-inflammatory responses. Notably, IL-1, IL-1{beta}, IL-6, IL-8, IL-21, TNF-, GM-CSF, G-CSF, and MMP1 were significantly overproduced. Transcriptomics of keratinocytes exposed to toxic fungal loads revealed a gene expression profile characteristic of hyperproliferative and undifferentiated cells, alongside elevated expression of NLRP3, a key inflammasome sensor involved in pyroptosis. ConclusionsMenopause is associated with distinct shifts in Malassezia spp. prevalence and abundance. Reduced skin lipids and thickness may increase fungal burden relative to host cells, promoting inflammation and barrier dysfunction. Malassezias ability to invade keratinocytes suggests a mechanism for immune evasion and induction of chronic inflammation. Furthermore, keratinocytes exposed to high fungal loads exhibited a transcriptomic profile indicative of hyperproliferation and impaired differentiation, resembling patterns observed in psoriasis, seborrheic dermatitis, and other inflammatory skin conditions. Our co-culture model provides mechanistic insight into Malassezia-driven skin inflammation and offers a platform to develop targeted therapies for post-menopausal skin disorders.

microbiology↗

bioRxiv2025

Comparative genomics of DH5α-inhibiting Escherichia coli isolates from human feces reveals common co-occurrence of bacteriocin genes with virulence factors and antibiotic resistance genes.

The presence of multi-drug-resistant (MDR) bacteria in healthy individuals poses a significant public health concern, as these strains may contribute to or even facilitate the dissemination of antibiotic resistance genes (ARGs) and virulence factors. In this study, we investigated the genomic features of antimicrobial-producing Escherichia coli strains from the gut microbiota of healthy individuals in Singapore. Using a large-scale screening approach, we analyzed 3,107 E. coli isolates from 109 fecal samples for inhibitory activity against E. coli DH5 and performed whole-genome sequencing on 37 representative isolates. Our findings reveal genetically diverse strains, with isolates belonging to five phylogroups (A, B1, B2, D, and F) and 23 unique sequence types (STs). Bacteriocin gene clusters were widespread, with colicins and microcins dominating the profiles. Notably, we identified a hcp-et3-4 gene cluster, encoding an effector linked to Type VI secretion system. Approximately 40% of the sequenced isolates were MDR, with resistance for up to eight antibiotic classes in one strain. Plasmids were the primary vehicles for ARG dissemination, but chromosomal resistance determinants were also detected. Additionally, over 55% of isolates were classified as potential extraintestinal pathogenic E. coli (ExPEC), raising concerns about their potential pathogenicity outside the intestinal tract. Our study highlights the co-occurrence of bacteriocins, ARGs, and virulence genes in gut-residing E. coli, underscoring their potential role in shaping microbial dynamics and antibiotic resistance. While bacteriocin-producing strains show potential as probiotic alternatives, careful assessment of their safety and genetic stability is necessary for therapeutic applications. ImportanceThis study provides genomic insights into the diverse repertoire of potential bacteriocin production in E. coli strains isolated from a cohort of healthy human subjects in Southeast Asia. Our findings suggest that the co-occurrence of bacteriocin genes with multiple antibiotic resistance and virulence genes is a common feature among non-clinical isolates. This genetic linkage could contribute to the increased abundance of multi-drug-resistant and virulent strains within individual hosts. Moreover, this co-occurrence may facilitate the host colonization with strains carrying antibiotic resistance and virulence determinants, potentially also contributing to the dissemination of resistant and pathogenic strains within the local population and beyond.

microbiology↗

bioRxiv2025

Large-scale skin metagenomics reveals extensive prevalence, coordination, and functional adaptation of skin microbiome dermotypes across body sites

While skin microbiome studies have increasingly highlighted its importance in health and disease, our understanding of inter-individual heterogeneity in structure and function remains limited, impacting the ability to develop microbiome-based stratification and therapeutics. Powered by comprehensive skin microbiome characterization in a multi-ethnic population-based cohort (>3,550 shotgun metagenomes across 18 sampling sites), we established significant undescribed inter-individual heterogeneity and the extensive prevalence of distinct microbial configurations (17 species-resolution dermotypes) in seven out of nine body sites. Combining functional in silico and in vitro studies revealed insights into how these dermotypes assemble as a function of niche-dependent microbial interactions (e.g. hypoxia-dependent inhibition of S. hominis by S. epidermidis/M. luteus) and metabolic resource utilization (e.g. differential galactose and histidine metabolism). Integration of demographic, skin physiological, and behavioral data further identified >30 significant associations with host attributes. Cross-site analysis revealed remarkable coordination across disparate skin regions (predictive AUC-ROC>0.8) and bilateral consistency (Pearson {pi}>0.95), emphasizing the role of specific microbial and host factors in shaping dermotypes. Finally, we provide multiple lines of evidence that dermotype states impact the risk for skin discomfort (e.g. irritation, itch) and diseases (e.g. eczema), that when combined with our highly accurate dermotype classifiers (AUC-ROC>0.98), provide a new paradigm for understanding skin microbiome function and stratifying patients in the context of skin and other diseases.

genomics↗

bioRxiv2025

Efficient trace reconstruction in DNA storage systems using Bidirectional Beam Search

MotivationAs DNA data storage systems gain popularity, the need for an efficient trace reconstruction algorithm becomes increasingly important. These algorithms aim to reconstruct the original encoded sequence from its noisy sequenced copies (or "traces"), enabling a faster and more reliable decoding process. Previous works have often been adaptations of methods for multiple sequence alignment or read error correction, typically operating under strict assumptions such as fixed error rates. However, such methods demonstrate limited generalizability to real datasets with higher error rates and suffer from slow processing times when dealing with a large number of traces. ResultsWe propose a new probabilistic formulation of the trace reconstruction problem. Instead of optimizing alignment among traces, we model the traces as observations of a k-th order Markov chain and try to predict the sequence that is generated by the Markov chain with the highest probability. Such a formulation inspires a novel solution, i.e. Bidirectional Beam Search (BBS), whose reconstruction phase operates in linear time with respect to the length of the encoded sequences. Experiments on multiple public Nanopore datasets demonstrate that BBS achieves top-tier accuracy compared with the state-of-the-art methods while being [~]20x faster, showing its potential to enhance the efficiency of DNA data storage systems. Availability and ImplementationThe implementation of BBS is available at https://github.com/GZHoffie/bbs, and the dataset and scripts for reproducibility are available at https://github.com/GZHoffie/bbs-test.

bioinformatics↗

bioRxiv2024

Skin metatranscriptomics reveals landscape of variation in microbial activity and gene expression across the human body

The skin microbiome plays an important role in immune homeostasis and skin health, and yet our understanding of in vivo microbial gene activity is hindered by the lack of a robust, non-invasive protocol for metatranscriptomics across skin sites. Circumventing the challenges of low microbial biomass, host contamination, and RNA stability, we developed a clinically tractable skin metatranscriptomics workflow that provides high technical reproducibility of profiles (Pearson r>0.95), uniform coverage across gene bodies, and strong enrichment of microbial mRNAs (2.5-40x). Applying this protocol to a cohort of healthy adults (n=27) across five different skin sites (n=102, paired metatranscriptomes and metagenomes), identified a striking divergence between transcriptomic and genomic abundances, with Staphylococcus species and the skin fungi Malassezia having an outsized contribution to the metatranscriptomic landscape at most sites despite their modest representation in metagenomes. Species-level analysis showed skin site-specific enrichment of gene expression (e.g. increased levels of secreted fungal phospholipase C on cheeks relative to scalp), and revealed how key pathways were transcriptionally active in vivo (e.g. propionate and 4-aminobutyrate metabolism, potentially impacting skin barrier function). Gene-level analysis identified diverse antimicrobial genes transcribed by skin commensals in situ, including several uncharacterized bacteriocins, some of which are expressed at levels comparable to known antimicrobial genes. Correlation of microbial gene expression with organismal abundances uncovered >20 genes that putatively mediate interactions between microbes (e.g. a secreted Malassezia restricta protein with strongly negative in vivo association with Cutibacterium acnes; Spearman {rho}>0.7). This work showcases the potential for leveraging skin metatranscriptomics to identify microbes whose activities play an outsized role in the community, and for uncovering pivotal microbial pathways and biomarkers linked to skin health and disease.

genomics↗

bioRxiv2024

Direct high-throughput deconvolution of unnatural bases via nanopore sequencing and bootstrapped learning

The discovery of non-canonical bases (NCBs) in viruses and the development of synthetic xeno-nucleic acids (XNAs) to expand the genetic alphabet has spawned interest in many applications, from viral genomics, to synthetic biology and DNA storage. However, the inability to read non-canonical bases in a direct, high-throughput manner has been a significant limitation to its study and applicability. Here we demonstrate that XNA templates containing non-canonical bases can be directly and robustly sequenced (>2.3 million reads/flowcell, similar to DNA controls) on a MinION sequencer from Oxford Nanopore Technologies to obtain signal data that is significantly distinct from DNA controls (median fold-change >6x). To enable training of machine learning models that deconvolve these signals and basecall non-canonical and canonical bases, we developed a framework to synthesize a complex pool of 1,024 NCB-containing oligonucleotides with diverse 6-mer sequence contexts and high purity (>90% NCB-insertion on average). Bootstrapped models to assist in data preparation, and data augmentation with spliced reads to provide high context diversity, enabled learning of a generalizable model to call canonical as well as non-canonical bases with high accuracy (>80%) and specificity (99%). These results highlight the versatility of nanopore sequencing as a platform for interrogating nucleic acids for viral genomic and xenobiology applications, and the potential to transform the study of genetic material beyond those that use canonical bases.

synthetic biology↗

bioRxiv2024

Gut metagenomes of Asian octogenarians reveal metabolic potential expansion and distinct microbial species associated with aging phenotypes

While rapid demographic changes in Asia are driving the incidence of chronic diseases related to aging, the limited availability of high-quality in vivo data hampers our ability to understand complex multi-factorial contributions, including gut microbial, to healthy aging. Leveraging the availability of a well-phenotyped cohort of community-living octogenarians in Singapore, we used deep shotgun metagenomic sequencing to do high-resolution taxonomic and functional characterization of their gut microbiomes (n=234). Joint species-level analysis with other Asian cohorts identified a distinct age-associated shift in Asian gut metagenomes, characterized by a reduction in microbial richness, and enrichment of specific Alistipes and Bacteroides species (e.g. Alistipes shahii and Bacteroides xylanisolvens). Functional pathway analysis confirmed that these changes correspond to a metabolic potential expansion in aging towards alternate pathways that synthesize and utilize amino-acid precursors, relative to the dominant microbial guilds that typically produce butyrate in the gut from pyruvate (e.g. Faecalibacterium prausnitzii, Roseburia inulinivorans). Extending these observations to key clinical markers helped identify >10 robust gut microbial associations to inflammation, cardiometabolic and liver health, including potential probiotic species such as Parabacteroides goldsteinii and pathobionts such as Klebsiella pneumoniae, highlighting the role of the microbiome as biomarkers and potential intervention targets for promoting healthy aging.

genomics↗

bioRxiv2024

Floria: Fast and accurate strain haplotyping in metagenomes

Shotgun metagenomics allows for direct analysis of microbial community genetics, but scalable computational methods for the recovery of bacterial strain genomes from microbiomes remains a key challenge. We introduce Floria, a novel method designed for rapid and accurate recovery of strain haplotypes from short and long-read metagenome sequencing data, based on minimum error correction (MEC) read clustering and a strain-preserving network flow model. Floria can function as a standalone haplotyping method, outputting alleles and reads that co-occur on the same strain, as well as an end-to-end read-to-assembly pipeline (Floria-PL) for strain-level assembly. Benchmarking evaluations on synthetic metagenomes showed that Floria is > 3x faster and recovers 21% more strain content than base-level assembly methods (Strainberry), while being over an order of magnitude faster when only phasing is required. Applying Floria to a set of 109 deeply sequenced nanopore metagenomes took <20 minutes on average per sample, and identified several species that have consistent strain heterogeneity. Applying Florias short-read haplotyping to a longitudinal gut metagenomics dataset revealed a dynamic multi-strain Anaerostipes hadrus community with frequent strain loss and emergence events over 636 days. With Floria, accurate haplotyping of metagenomic datasets takes mere minutes on standard workstations, paving the way for extensive strain-level metagenomic analyses. AvailabilityFloria is available at https://github.com/bluenote-1577/floria, and the Floria-PL pipeline is available at https://github.com/jsgounot/Floria_analysis_workflow.

bioinformatics↗

bioRxiv2024

Life stage impact on the human skin ecosystem: lipids and the microbial community

While research into gut-microbe interactions is common and advanced, with multiple defined impacts on human health, studies exploring the significance of skin-microbe interactions remain underrepresented. Skin is the largest human organ, has a vast surface area, and is inhabited by a plethora of microorganisms which metabolise sebaceous lipids. Sebaceous free fatty acids are metabolized into bioactive lipid mediators with immune-modulatory properties by skin-resident microbes, including Malassezia. Intriguingly, many of the same lipid mediators are also found on human skin, implying these compounds may have microbial or mixed microbial/human origin. To support this hypothesis, we isolated lipids and microbial DNA from the skin of prepubescent, adult, pre- and post-menopausal volunteers and performed correlational analyses using skin lipidomics and metagenomics to compare lipid mediator profiles and microbiome compositions on skin with either low or high sebaceous gland activity. We found that specific microbial taxonomies were positively and negatively correlated with skin lipid mediator species with high statistical significance. 2D in vitro co-cultures with Malassezia and keratinocytes also directly linked the production of specific lipid mediators, detected on healthy human skin, to secretion of immuno-stimulatory cytokines. Together, these findings further support the hypothesis that microbial-derived skin lipid mediators influence healthy skin homeostasis and skin disease development and progression, thereby spotlighting the relevance of the skin microbiomes footprint on human health.

microbiology↗