Biology subjects

Huang, K. C.

Publications and source records attributed to Huang, K. C..

At least 19 recordsLinked to original sources

bioRxiv2026

Multiple non-redundant functions underlie the essentiality of lipopolysaccharide in Gram-negative bacteria

Lipopolysaccharide (LPS) is well known for its immunostimulatory activity and its contribution to the permeability barrier of the Gram-negative outer membrane. Yet LPS is essential for growth in nearly all Gram-negative bacteria, even under laboratory conditions where its barrier function should be less critical. LPS contributes to envelope mechanics, membrane biogenesis, and cell division, but whether any of these functions accounts for its essentiality remains unclear. Here, we systematically tested these possibilities by depleting LPS in Escherichia coli and Klebsiella pneumoniae. Osmoprotection largely preserved cell-envelope integrity but not viability, demonstrating that the mechanical contribution of LPS alone cannot explain its essentiality. Genetic perturbations that increase peptidoglycan rigidity or alter phospholipid homeostasis partially improved growth, supporting independent roles for LPS in envelope mechanics and membrane biogenesis. An unbiased suppressor screen further identified activation of the MarA regulon as a potent mechanism for surviving LPS depletion. Protection required transport by the AcrAB-TolC multidrug efflux pump, revealing an unexpected connection between efflux and cell-envelope homeostasis. Thus, LPS essentiality emerges from multiple non-redundant contributions to Gram-negative cell-envelope physiology.

microbiology↗

bioRxiv2026

Diverse stresses converge on bacterial periplasmic expansion through distinct physiological mechanisms

Diverse environmental and antibiotic stresses induce localized periplasmic expansion, the separation of the inner membrane from the cell wall and outer membrane, in Gram-negative bacteria, yet whether these morphologically similar responses arise through a common mechanism remains unclear. Here, we compare periplasmic expansion induced by sudden starvation, ciprofloxacin, mitomycin C, and globomycin in Escherichia coli. We find that these perturbations produce similar morphologies through distinct physiological and mechanical routes. Ciprofloxacin- and mitomycin C-induced periplasmic expansion coincides with loss of turgor, whereas starvation requires water efflux, and globomycin leads to unequal expansion of the inner and outer membrane as a result of aberrant inner membrane-cell wall crosslinking. Outer membrane stiffness modulates expansion during ciprofloxacin treatment. Despite these distinct mechanisms, robust periplasmic expansion during starvation and treatment with ciprofloxacin or globomycin requires UDP-glucose synthesis. Together, these findings establish periplasmic expansion as a convergent physical outcome of diverse stresses and reveal the remarkable plasticity of the Gram-negative cell envelope.

microbiology↗

bioRxiv2026

FastaLake selects compact metaproteomic databases from large sequence reservoirs by de novo peptide lookup

Metaproteomics analyses require protein sequence databases, yet the microbial proteins present in complex communities are not known in advance. Searching reference catalogs containing hundreds of millions of candidate sequences reduces identification sensitivity, while generating sample-specific databases through metagenomic sequencing adds time and cost. We introduce FastaLake, a computational workflow that uses full-length de novo peptide predictions by AlphaNovo to retrieve complete proteins from broad sequence resources and selects compact databases for conventional searching. In a defined eight-member community, FastaLake approached reference-search peptide yields without knowing its members. Using public sequence catalogs, FastaLake identified about as many peptides as matched metagenomic databases in two stool cohorts and 20-35% more in intestinal fluid at the same nominal 1% peptide false discovery rate. The resulting proteomes reveal personal functional profiles that persist across intestinal regions despite differences in leading species between intestinal fluid and stool. DNA, RNA and protein profiles agreed on broad differences between patients but only weakly on individual functions. All 726 acquisition-specific databases were smaller than the human reference proteome. Compact databases allowed non-specific searches of all 347 CapScan acquisitions, revealing histidine enrichment at peptide C termini in intestinal fluid. FastaLake enables metaproteomics analysis without matched metagenomic sequencing by constructing search databases from sequence resources and de novo peptide sequencing.

bioinformatics↗

bioRxiv2026

Independent tuning of outer membrane fluidity and mechanics in Gram-negative bacteria

The outer membrane (OM) of Gram-negative bacteria forms a protective barrier that combines selective permeability with mechanical load-bearing capacity, properties linked to its asymmetric bilayer structure with lipopolysaccharides (LPS) in the outer leaflet and phospholipids (PLs) in the inner leaflet. Unlike most PL bilayers, the OM typically exhibits limited lateral diffusion, resulting in a gel-like surface with spatially organized proteins and LPS. The molecular basis of this physical state and its relationship with envelope mechanics remain unclear. Here, we show that increasing PL levels in the outer leaflet or truncating LPS core oligosaccharides increases OM fluidity by disrupting LPS packing. In contrast, reduced LPS abundance or disruption of divalent cation-mediated crosslinking primarily reduces OM stiffness with little effect on fluidity. Thus, OM fluidity and mechanical stiffness can be tuned independently through distinct molecular interactions. This separation of physical control mechanisms provides a framework for understanding how Gram-negative bacteria modulate OM properties during environmental adaptation and envelope homeostasis.

microbiology↗

bioRxiv2026

Mechanofiltration Enables High-Throughput Measurements of Bacterial Cell Mechanics

Bacteria experience diverse mechanical forces throughout their natural environments, yet quantitative measurements of bacterial biomechanics remain challenging because most existing techniques require specialized instrumentation, such as atomic force microscopy (AFM) or microfluidic devices. Here, we introduce mechanofiltration, a simple, high-throughput assay that estimates whole-cell mechanics using standard laboratory equipment. In mechanofiltration, bacterial suspensions are centrifuged through porous membranes in multiwell plates. Pressure generated during centrifugation drives cells toward pores that are smaller than cell width, requiring cells to deform to transit through the membrane. By combining recovery on the opposite side of the filter with measurements of cell size, the assay estimates maximum cell deformation, a size-corrected proxy for whole-cell stiffness. We show that mechanofiltration detects established reductions in Escherichia coli cell stiffness caused by genetic disruption of load-bearing cell envelope components, treatment with outer membrane-destabilizing agents, and sublethal exposure to antibiotics. Fold changes in maximum deformation closely agree with published measurements obtained using AFM, cell-bending assays, and osmotic shock experiments. Mechanofiltration also reproduces previously reported mechanical differences among bacterial species with distinct morphologies and envelope architectures. Together, these results establish mechanofiltration as an accessible, inexpensive, and scalable approach for identifying genetic and environmental determinants of bacterial mechanics and for high-throughput screening of bacterial biomechanical phenotypes.

microbiology↗

bioRxiv2026

Capsular polysaccharide can sensitize bacteria to non-antibiotic drugs

Medications administered over long durations, such as phenothiazine antipsychotics, accumulate in the gut at concentrations that affect microbial growth. However, the bacterial features influencing sensitivity to these non-antibiotics remain poorly understood. Bacterial capsular polysaccharides (CPSs) typically confer protection against environmental stressors, including chemical, viral, and immunological pressures within the gut. But their roles under non-antibiotic drug pressure are unknown. Here, we show that the K5 CPS of Escherichia coli Nissle 1917 (EcN) sensitizes it to thioridazine (TDZ) and related antipsychotics. Among a panel of E. coli strains grown in minimal medium, EcN exhibited the highest sensitivity to TDZ. Experimentally evolving EcN under gut-relevant TDZ concentrations selected for resistant populations with convergent variants affecting the CPS locus, and TDZ-resistant clones correspondingly had lower CPS expression than their drug-susceptible counterparts. Genetic, transcriptomic, and phenotypic analyses confirmed that the K5 CPS enhances, rather than mitigates, TDZ sensitivity. These findings demonstrate that canonically protective surface structures can become vulnerabilities under non-antibiotic pharmaceutical pressure. Human medications may therefore inadvertently shape the expression and evolution of bacterial surface structures in the gastrointestinal tract, challenging presumptions of CPS-mediated environmental protection.

microbiology↗

bioRxiv2026

Path-dependent recovery of the gut microbiome after antibiotics emerges from coupled ecological and evolutionary dynamics

Recovery of the gut microbiome after antibiotic exposure is often incomplete and variable, and the processes underlying this variation remain unclear. We performed longitudinal shotgun metagenomic sequencing of 2876 daily fecal samples from replicated humanized and conventional mouse cohorts exposed to controlled antibiotic perturbations. Metagenomic profiling recapitulated ecological trajectories previously observed by 16S sequencing, while revealing extensive strain-level dynamics, including reproducible sweeps of standing variants and de novo mutations in antibiotic target sites and regulatory loci. We also identified genetic changes whose effects depended on community composition, competitive release, and perturbation history. Cross-housing experiments revealed bidirectional strain transfer, with antibiotic-induced niche clearance enabling replacement of resident strains. In parallel, phage dynamics were heterogeneous and clustered by cage. Together, these findings show that post-antibiotic microbiome recovery is a path-dependent process shaped by selection, transmission, and phage activity, producing divergent outcomes even among closely matched communities exposed to the same perturbations.

microbiology↗

bioRxiv2026

CUPID-seq enables highly multiplexed amplicon sequencing via combinatorial in-line dual indexing

Targeted amplicon sequencing is widely used to profile genetic variation in defined genomic regions. In microbial ecology, for example, amplicon sequencing of the 16S and 18S ribosomal RNA genes has been transformative for characterizing microbial communities. However, on high-capacity sequencing platforms with patterned flow cells, throughput is constrained by the requirement for unique dual indexes (UDIs), which increases primer costs and limits the number of samples that can be pooled per sequencing run. Here, we introduce CUPID-seq (Combinatorial, Unique, Phased, In-line Dual-indexed sequencing), a highly multiplexed amplicon-sequencing strategy that increases scalability through combinatorial indexing across two rounds of PCR. CUPID-seq introduces phased, in-line UDIs during Round 1 gene-specific amplification, enabling multiple samples to share the same Illumina UDI during Round 2 PCR while remaining uniquely identifiable. This design reduces upfront costs by up to 85% and reduces library preparation time and reagent use by up to 40%. We develop and validate CUPID-seq primers targeting the 16S V4 region and provide a computational workflow for demultiplexing in-line indexes. Although optimized here for 16S-based profiling, CUPID-seq can be readily adapted to other user-defined amplicons. By reducing cost and increasing multiplexing capacity, CUPID-seq enables users to leverage high-throughput sequencing platforms more effectively across diverse biological contexts.

microbiology↗

bioRxiv2026

Phage-based microbiome manipulation reveals ecological interactions within gut communities

Mechanistic understanding of gut ecology is limited by the availability of tools for precise manipulation of microbiome composition. Here, we isolate lytic phages to enable targeted removal of gut commensal Escherichia fergusonii (Ef) from complex, undefined stool-derived in vitro communities. A single phage drove resistance without fitness cost in monoculture, but resistant Ef exhibited reduced fitness in communities, enabling expansion of closely related Proteobacteria. Resistance arose via reversible promoter inversion linked to outer-membrane function. A phage cocktail overcame resistance to achieve Ef knockout across communities with minimal collateral effects. Using knockout communities, we show that Ef is necessary and sufficient for preventing Salmonella invasion. Replacement with an Ef transposon-mutant library revealed that community-specific fitness defects are enriched in genes involved in outer-membrane assembly. Disruption of these genes sensitized Ef to antagonistic community members, highlighting interspecies warfare as a key driver of microbiome ecology. These results establish phage-mediated perturbation as a framework for linking species to community-level function and for enabling precision microbiome engineering.

microbiology↗

bioRxiv2026

Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome

The gut microbiome regulates many aspects of human biology, including immunity and inflammatory diseases, yet mechanistic discovery and translation remain constrained by fragmented workflows and manual hypothesis integration. Here, we present Eubiota, an open-source modular agentic framework that decomposes microbiome inquiry using specialized agents for planning, execution, verification, and grounded synthesis. Coordinated through shared memory and domain-specific tools, Eubiota employs reinforcement learning to optimize multi-turn reasoning, achieving 87.7% benchmark accuracy and outperforming GPT-5.1 by 10.4%. Across four case studies, Eubiota enabled end-to-end discovery with experimental validation. Screening nearly 2,000 bacterial genes, Eubiota identified the uvr-ruv DNA repair axis as a fitness determinant under inflammatory stress, validated using transposon mutants and IBD metagenomes. It further designed a four-strain consortium that attenuated colitis severity in mice and generated a commensal-sparing antibiotic cocktail, demonstrating its utility in addressing community-level design challenges at cellular and molecular levels. Finally, Eubiota discovered diet-associated metabolites that suppress NF-{kappa}B signaling. Together, these results establish Eubiota as a scalable, tool-grounded scientific copilot for mechanistically driven microbiome discovery.

bioinformatics↗

bioRxiv2025

A load-bearing function for the cytoplasmic membrane of Escherichia coli

The structural integrity of bacterial cells is traditionally attributed to the peptidoglycan cell wall, and more recently to the outer membrane, with the cytoplasmic membrane assumed to be mechanically passive. Cells lacking filaments of the actin homolog MreB are more bendable, suggesting a role for the cytoskeleton in cell stiffness. Here, we show that MreB does not stiffen the envelope directly, but instead mechanically couples the cell wall to the cytoplasmic membrane through its role in peptidoglycan synthesis, increasing resistance to bending. Under hyperosmotic stress, MreB relocalized to the poles, forming linkages that prevent membrane detachment from the cell wall and attenuate cytoplasmic contraction. Disruption of MreB filament formation, nutrient starvation, or inactivation of glycan elongation factors abolished or reduced this coupling, revealing that peptidoglycan biosynthesis actively mediates stress distribution across surface layers. Our findings redefine the bacterial envelope as a mechanically integrated composite, with the cytoplasmic membrane having substantial load-bearing capacity.

microbiology↗

bioRxiv2025

Gut microbe-derived lactic acid optimizes host energy metabolism during starvation

Gut microbes convert dietary compounds into an array of metabolites that can directly provide energy to their host and indirectly impact host metabolism as systemic endocrine signals. Here, we show that gut microbe-derived metabolites can extend Drosophila melanogaster survival during starvation, despite minimal alteration of dietary energy intake. Combining survival assays with mathematical modeling and untargeted metabolomics, we identify a single, dominant mediator of starvation resilience: lactic acid produced by the commensal bacterium Lactiplantibacillus plantarum. We discover that the basis of starvation resilience is not catabolism of lactic acid using lactate dehydrogenase, but rather increased dietary energy yield through lactic acid-driven promotion of oxidative phosphorylation. Our findings emphasize the role of the microbiome as a source of endocrine cues coordinating host metabolism and underscore the potential of microbiome-derived metabolites as therapeutic molecules for manipulating metabolic health and preventing disease.

physiology↗

bioRxiv2024

Sensing the shape of a surface by intracellular filaments

Understanding the mechanisms that dictate the localization of cytoskeletal filaments is crucial for elucidating cell shape regulation in prokaryotes. The actin homolog MreB plays a pivotal role in maintaining the shape of many rod-shaped bacteria such as Escherichia coli by directing cell-wall synthesis according to local curvature cues. However, the basis of MreBs curvature-dependent localization has remained elusive. Here, we develop a biophysical model for the energetics of filament binding to a surface that integrates the complex interplay between filament twist and bending and the two-dimensional surface geometry. Our model predicts that the spatial localization of a filament like MreB with substantial intrinsic twist is governed by both the mean and Gaussian curvatures of the cell envelope, which strongly covary in rod-shaped cells. Using molecular dynamics simulations to estimate the mechanical properties of MreB filaments, we show that their thermodynamic preference for regions with lower mean and Gaussian curvatures matches experimental observations for physiologically relevant filament lengths of [~]50 nm. We find that the experimentally measured statistical curvature preference is maintained in the absence of filament motion and after a cycle of depolymerization, repolymerization, and membrane rebinding, indicating that equilibrium energetics can explain MreB localization. These findings provide critical insights into the physical principles underlying cytoskeletal filament localization, and suggest new design principles for synthetic shape sensing nanomaterials. Significance statementThe protein MreB, a homolog of eukaryotic actin, regulates the shape of bacteria like Escherichia coli by guiding new cell-wall insertion based on local curvature cues. However, the mechanism by which a nanometer-scale MreB filament "senses" the micron-scale curvature of the cell wall has remained a mystery. We introduce a biophysical model of the energetics of twisted and bent filaments bound to curved surfaces, which predicts that localization of filaments like MreB is sensitive to both mean and Gaussian curvature. The model captures experimentally measured curvature enrichment patterns and explains how MreB naturally localizes to saddle-shaped regions without energy-consuming processes. Beyond cell shape regulation, our work suggests design principles for synthetic systems that can sense and respond to surface shape.

biophysics↗

bioRxiv2024

The network structure of cross-feeding impacts microbial community diversity under growth-inhibiting stresses

Perturbations such as dietary shifts and drug treatment can reduce gut microbiome diversity, with negative health effects on the host, but predicting changes to community diversity is challenging due to the many mechanisms by which species interact. While both nutrient competition and cross-feeding can play major roles in microbiota assembly, the effect of environmental stresses such as antibiotics is typically studied experimentally in monoculture, and most theoretical studies have focused on communities that interact via nutrient competition alone. To investigate the interplay between nutrient competition, stresses that inhibit growth, and cross-feeding, we introduce a consumer-resource model that includes all three factors and captures a wide range of cross-feeding network architectures with a single parameter. For three-species communities, we found that coexistence during narrow-spectrum growth inhibition was maximal with a cyclic cross-feeding network, while fully connected cross-feeding networks maximized coexistence during broad-spectrum growth inhibition. However, the effects of cyclic cross-feeding were particularly sensitive to community size and the number of targeted species; for communities with more than six species and resources, cyclic cross-feeding can be detrimental to coexistence due to instability. Our findings highlight the complex effects of cross-feeding network architecture on coexistence when growth inhibition reshapes the nutrient competition landscape, with potential applications to microbial communities in all natural environments, where they are often exposed to agents such as drugs, temperature, and pH modulation.

ecology↗

bioRxiv2024

Abundance measurements reveal the balance between lysis and lysogeny in the human gut microbiome

The human gut contains diverse communities of bacteriophage, whose interactions with the broader microbiome and potential roles in human health are only beginning to be uncovered. Here, we combine multiple types of data to quantitatively estimate gut phage population dynamics and lifestyle characteristics in human subjects. Unifying results from previous studies, we show that an average human gut contains a low ratio of phage particles to bacterial cells ([~]1:100), but a much larger ratio of phage genomes to bacterial genomes ([~]4:1), implying that most gut phage are effectively temperate (e.g., integrated prophage, phage-plasmids, etc.). By integrating imaging and sequencing data with a generalized model of temperate phage dynamics, we estimate that phage induction and lysis occurs at a low average rate ([~]0.001-0.01 per bacterium per day), imposing only a modest fitness burden on their bacterial hosts. Consistent with these estimates, we find that the phage composition of a diverse synthetic community in gnotobiotic mice can be quantitatively predicted from bacterial abundances alone, while still exhibiting phage diversity comparable to native human microbiomes. These results provide a foundation for interpreting existing and future studies on links between the gut virome and human health.

microbiology↗

bioRxiv2024

Comprehensive double-mutant analysis of the Bacillus subtilis envelope using double-CRISPRi

Understanding bacterial gene function remains a major biological challenge. Double-mutant genetic interaction (GI) analysis addresses this challenge by uncovering the functional partners of targeted genes, allowing us to associate genes of unknown function with novel pathways and unravel connections between well-studied pathways, but is difficult to implement at the genome-scale. Here, we develop and use double-CRISPRi to systematically quantify genetic interactions at scale in the Bacillus subtilis envelope, including essential genes. We discover > 1000 known and novel genetic interactions. Our analysis pipeline and experimental follow-ups reveal the distinct roles of paralogous genes such as the mreB and mbl actin homologs, and identify new genes involved in the well-studied process of cell division. Overall, our study provides valuable insights into gene function and demonstrates the utility of double-CRISPRi for high-throughput dissection of bacterial gene networks, providing a blueprint for future studies in diverse bacterial species.

genomics↗

bioRxiv2024

Gut microbiome shifts in chronic systolic heart failure are associated with disease severity and clinical improvement

Chronic systolic heart failure (HF) is a prevalent and morbid disease with marked variability in its progression and response to therapies. The gut microbiome may play a role in pathophysiology and progression of chronic HF, but clinical studies investigating relationships between the two are lacking. We analyzed the gut microbiome in a cohort of adults with chronic systolic HF caused by non-ischemic cardiomyopathy (n=59) using multi-omics profiling and, in some cases, longitudinal sampling. We identified microbiome differences compared to healthy subjects (n=50) and associated these differences with host metabolites, inflammatory markers and physiology. We found depletion of the anti-inflammatory probiotic Bifidobacterium and the associated short chain fatty acid producing and formaldehyde detoxifying pathways in the chronic HF cohort. We also discovered HF-specific microbiome-host immunome interactions. In addition to identifying several taxa and microbial pathways broadly associated with HF disease severity, we found significant links between Bifidobacterium and clinical HF improvement over time. Gut microbiome-host multi-omic data integration revealed a close association between Bifidobacterium and circulating metabolites previously implicated in cardiovascular physiology (e.g., malonic acid), thus pointing to potential mechanisms through which Bifidobacterium may affect chronic HF physiology. Our results suggest that Bifidobacterium may serve as a biomarker for chronic HF trajectory as well as suggest potential novel therapeutic interventions strategies.

microbiology↗

bioRxiv2024

Nutrient competition predicts gut microbiome restructuring under drug perturbations

Human gut commensal bacteria are routinely exposed to various stresses, including therapeutic drugs, and collateral effects are difficult to predict. To systematically interrogate community-level effects of drug perturbations, we screened stool-derived in vitro communities with 707 clinically relevant small molecules. Across [~]5,000 community-drug interaction conditions, compositional and metabolomic responses were predictably impacted by nutrient competition, with certain species exhibiting improved growth due to adverse impacts on competitors. Changes to community composition were generally reversed by reseeding with the original community, although occasionally species promotion was long-lasting, due to higher-order interactions, even when the competitor was reseeded. Despite strong selection pressures, emergence of resistance within communities was infrequent. Finally, while qualitative species responses to drug perturbations were conserved across community contexts, nutrient competition quantitatively affected their abundances, consistent with predictions of consumer-resource models. Our study reveals that quantitative understanding of the interaction landscape, particularly nutrient competition, can be used to anticipate and potentially mitigate side effects of drug treatment on the gut microbiota.

microbiology↗