Biology subjects

Meng, Y.

Publications and source records attributed to Meng, Y..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Computational method for mapping mass signatures along developmental gradients reveals a novel role for a monosaccharide tetrose in maize salt-stress response.

Metabolic processes are essential for regulating and maintaining developmental transitions, from stem cell quiescence through differentiation. However, the distinct metabolite-driven mechanisms that are critical for development remain poorly characterized due to inherent challenges in measuring their production, localization, and function in situ. We employed desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to map metabolites in the developing maize root, which has a well-characterized longitudinal gradient that encompasses developmental transitions from quiescence through proliferation and maturation. DESI-MSI enables in situ analysis of the chemical composition of tissue sections with high spatial resolution ([~]50-100 {micro}m). To identify metabolites with specific developmental enrichment patterns, we developed a computational approach called Developmental Imaging Mass Spectrometry Pipeline for Linear Evaluation (DIMPLE). DIMPLE processes mass signatures along linear gradients, generating clusters of metabolites with specific developmental enrichment patterns in the maize root. We employed this method to compare developmental enrichment of metabolites in a salt-resilient maize variety, Oaxacan Green, and a salt-susceptible variety, B73. DIMPLE identifies specific differences in the mass signatures and the overall enrichment patterns between these varieties. DIMPLE also revealed a metabolite, D-erythrose, that had different localization patterns in these varieties. We found that in salt-sensitive maize varieties, treatment with D-erythrose improves stress tolerance by increasing primary root length. Overall, DIMPLE enables comprehensive and rapid analysis of metabolite patterns along a linear gradient, revealing new biology in plant growth and stress response.

plant biology↗

bioRxiv2025

Decoder-FFPE-seq enables sensitive, genome-wide spatial transcriptomics of archival tissues at single-cell resolution

Formalin-fixed paraffin-embedded (FFPE) tissue-compatible spatial transcriptomics (ST) is transforming biology and histopathology, but achieving high sensitivity, genome-wide coverage, single-cell resolution and researcher-accessibility remains challenging. Here, we present a dendrimeric DNA coordinate-barcoding design for FFPE-adapted spatial RNA sequencing (Decoder-FFPE-seq), by integrating RNA-to-DNA probe conversion with blotting-assisted barcoding. Decoder-FFPE-seq provides single-cell resolution with a 2.54-4.25-fold sensitivity increase in mouse brain transcriptomic profiling over similar assays with an available protocol, successfully mapping rare genes and sparse cell types. It robustly resolves tumor microenvironments (TMEs) in clinical archives preserved 6-20 years. With expanded probe libraries, Decoder-FFPE-seq captures long non-coding and viral RNAs, revealing spatial co-expression networks with mRNAs in oral squamous cell carcinomas (OSCCs). In an OSCC immunotherapy cohort, it delineates TME heterogeneity across pathology response groups and tracks spatial cellular dynamics pre- and post-immuno-chemotherapy. Decoder-FFPE-seq establishes a robust, high-resolution framework for sensitive ST profiling in fundamental and translational studies of archival tissues.

genomics↗

bioRxiv2025

OmniExtract: An automatic data extraction tool based on Large Language Model and Prompt Engineering

Extracting structured information from documents or scientific papers is crucial for data sharing and retrieval. Recently, Large Language Model (LLM) has shown its impressive ability in text understanding and several tools based on LLM has been developed. However, its still difficult to find a universal and user-friendly tool for various practical extraction tasks. To address this challenge, we propose OmniExtract, an automatic data extraction tool with user-friendly configuration files which can adapt to various data extraction tasks. OmniExtract uses a prompt optimized engineering to improve prompt and obtain high performance, and it can support a comprehensive data extraction including text and tables. Evaluation results show that OmniExtract obtains a high accuracy over 80% for 3 datasets. Furthermore, two additional data extraction applications using OmniExtract have been provided, achieving an accuracy of 92.21% and an average F1 score of 0.83 respectively. The data reliability performance shows that OmniExtract is a valuable tool for database updating.

bioinformatics↗

bioRxiv2025

Pentoxifylline, a Non-Antibiotic Drug, Promotes Adaptation of Clinical Isolates of Staphylococcus aureus via Modulating c-di-AMP Signaling

This study investigated how Staphylococcus aureus adapts under pentoxifylline (PTX) therapy through analyzing three phylogenetically related isolates (L1, L2, L3) from a bacteremia patient. Whole genome sequencing revealed L1 contained a 2400-bp insertion disrupting nupC, while L3 harbored mutations in the anti-Shine-Dalgarno sequences of 16S rRNA. Each isolate evolved distinct mechanisms to reduce c-di-AMP levels, accompanied by changes in survival ability and virulence. Molecular analysis demonstrated PTX noncompetitively inhibits GdpP phosphodiesterase, directly modulating cyclic diadenosine monophosphate (c-di-AMP) signaling. Our findings provide novel insights into how non-antibiotic medications shape bacterial adaptation through second messenger modulation, highlighting the complex trade-offs between stress resistance and fitness in clinical settings. ImportanceThis study reveals how pentoxifylline, a non-antibiotic drug, drives Staphylococcus aureus adaptation by modulating c-di-AMP signaling. Our findings highlight the unintended consequences of non-antibiotic medications on bacterial evolution, offering new insights for clinical treatment strategies to mitigate resistance development. HighlightsO_LIPTX noncompetitively inhibits GdpP, modulating bacterial c-di-AMP signaling C_LIO_LIS. aureus evolves distinct mechanisms to reduce c-di-AMP under PTX pressure C_LIO_LINon-antibiotic medications significantly shape bacterial adaptive trajectories C_LI

microbiology↗

bioRxiv2025

AtlasAgent: Vision language model and Agent-guided Framework for Evaluation of Atlas-scale Single-cell Integration

As single-cell omics transitions into the era of AI-virtual cells (AIVC), where large-scale single-cell data integration becomes prevalent, the computational demands of integration evaluation emerge as critical scalability bottlenecks. Traditional integration evaluation pipelines, requiring metrics like k-nearest-neighbor batch effect test (kBET) and Local Inverse Simpsons Index (iLISI) employed by state-of-the-art scIB method, often demand large computational resources and long runtimes, making them infeasible for large scale integration studies. Herein, we present AtlasAgent, the first vision-language model (VLM)-powered and AI agent framework to accelerate atlas-scale integration evaluation at unprecedented speed and scale. We systematically evaluate batch correction quality, biological signal preservation and overcorrection risks using chain-of-thought reasoning in conjunction with few-shot and zero-shot prompting strategies. AtlasAgent completes evaluation within 32 seconds, in contrast to scIBs runtime of 5.55 hours in GPU, while identifying the scIB-determint best integration methods within the top-3 in 88.3% of the time, lowering evaluation time from hours to seconds while preserving alignment with domain expert reasoning. AtlasAgent pioneers the use of VLMs to realize scalable and rapid integration evaluation at atlas scale.

bioinformatics↗

bioRxiv2025

Molecular dynamics driving phenotypic divergence among KRAS mutants in pancreatic tumorigenesis

Inflammation in the pancreas drives acinar-to-ductal metaplasia (ADM), a progenitor-like state that can be hijacked by mutant Kras in the formation of pancreatic cancer (PDAC). How these cell fate decisions vary according to KRAS mutation remains poorly understood. To define mutation-specific lineage reversion and tumor initiation, we implement novel Ptf1a-TdTomato mice and multiple KRAS mutants across an array of genetic, pharmacologic, and inflammatory perturbations in vivo. Whereas KRASG12D co-opts injury to enable lineage reversion, enhancer reprogramming, and tumor initiation, KRASG12R/V can initiate but not sustain dedifferentiated and neoplastic transcriptional and epigenetic programs. We find the KRASG12R/V defects consist of a failure to invoke robust EGFR signaling and activate Rac1/Vav1, with constitutive Akt activation in vivo sufficient to rescue the tumorigenic potential of KRASG12R. As the marked heterogeneity among KRAS variants begins early in tumorigenesis, these data are crucial to understanding mutation-specific oncogenic trajectories and directing the implementation of KRAS-directed therapeutics. SIGNIFICANCEDefining how KRAS mutants drive distinct outcomes in human pancreatic cancer is critical for developing allele-specific therapeutic approaches. This study unveils a hierarchy among KRASG12D, KRASG12V, and KRASG12R to drive tumor initiation, owing to heterogeneous activation of EGFR, PI3K/AKT, and RAC1 signaling, thus revealing mutation-specific evolutionary paths in pancreatic tumorigenesis.

cancer biology↗

bioRxiv2025

Rational design of respiratory syncytial virus dimeric F-subunit vaccines in protein and mRNA forms

BackgroundRespiratory syncytial virus (RSV) poses a significant public health threat, particularly to children and the elderly. Two protein-based vaccines and one mRNA vaccine have been approved, all targeting the prefusion conformation of the fusion (F) glycoprotein. However, it has been reported that the F protein transitions to the post-fusion state during storage, resulting in a reduction of the vaccines immunogenicity. MethodsIn this study, we engineered novel pre-F-based antigens to preserve pre-F-specific immunodominant epitopes while eliminating sub-potent ones. Based on this, we constructed a series of single-chain dimers and selected the one with the highest expression yield and melting temperature (Tm). Next, we created a heterodimer, scDimer AB. Structural and protein characterization analyses were conducted to verify our design. All monomeric and scDimer antigens were used to immunize rodent models. Additionally, we prepared the antigens in mRNA form and immunized BALB/c mice. Finally, we combined both antigen forms, administering intramuscular mRNA priming followed by intranasal protein delivery in mice. In all immunization strategies, viral challenges were performed in animals to evaluate the immunologic protective effects. FindingsThrough rational design, we developed a monomeric and two single-chain dimeric (scDimer) proteins with the expected characteristics, including complete II, V, and O epitopes and a partial III epitope. The scDimers elicited stronger binding and neutralizing antibody responses in rodent models compared to the monomer, and they also boosted T cell responses when combined with appropriate adjuvants. After three doses of scDimer immunization, live RSV was barely detectable in the tissues of infected animals. The copies of RNA encoding N-gene were significantly reduced in the immunized groups compared to the PBS-injected control groups. We also engineered mRNA versions of the antigens and verified their protective efficacy in mice. Notably, there were no significant differences between intranasal boost and intramuscular two doses after RSV challenged, suggesting that intranasal boost provided equivalent protection to intramuscular vaccination and could reduce the risk of vaccine-enhanced disease (VED) potentially. InterpretationThe scDimer-based RSV vaccines effectively protected rodents from RSV infections, highlighting their clinical potential. Our antigen design removed certain suboptimal epitope regions, enhancing the efficiency of antigen presentation and increasing the proportion of the most potent pre-F-specific neutralizing antibodies. This approach provides a novel perspective for future vaccine design. FundingNational Key R&D Program of China, National Science Foundation of China, Young Scientists in Basic Research, Chinese Academy of Sciences, and Special Program of China National Tobacco Corporation. RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSThe licensed respiratory syncytial virus (RSV) vaccines were based on RSV pre-F structure. We conducted a PubMed search for articles published in English from databases inception to March 31, 2025, using the search terms "RSV" (interchanged with "respiratory syncytial virus"), "pre-F" (interchanged with "prefusion F") and "vaccine". Our search revealed that most of the articles focus on combining pre-F with RSV G protein or other proteins to form viral-like particles (VLPs) or nanoparticles. The second-largest category of articles examined the antibodies level elicited by the pre-F antigens in animal model or some special cohorts. Other studies addressed topics such as optimization of injection dosage and immunization strategies, methodologies for detecting pre-F-specific antibodies, and the development of mRNA-LNP vaccines. Notably, only 4 articles described novel designs of RSV pre-F antigens, all of which were trimeric and based exclusively on the RSV A subtype F protein sequence. Added value of this studyTo our knowledge, our design is the first single-chain dimer version of RSV pre-F antigen. The engineered antigens demonstrated high yield, thermostability, and immunogenicity comparable to that of DS-Cav1. Additionally, we developed the first chimeric RSV-antigen covering both subtype A and B, thereby broadening the potential protective spectrum. We further validated the immunogenicity of our designs in mRNA form and as a protein-mRNA combination. This research emphasizes the potential of constructing and combining minimized, stable antigen modules, offering a novel approach for future vaccine development. Implications of all the available evidenceIn this study, we present a novel approach for constructing and combining minimized, stable antigen modules for future vaccine design. The strong immunogenicity of our antigens underscores their potential for clinical application. Furthermore, given the structural similarities between the RSV antigen and those of other Pneumoviruses, such as human metapneumovirus (hMPV), our design strategy could be extended to the development of multivalent vaccines.

immunology↗

bioRxiv2025

The hollow truth: ethylene-triggered ROS, PCD, senescence, and autophagy drive hollow stem formation

Hollow stems have independently evolved multiple times across the plant kingdom, and play crucial roles in plant development and various environmental adaptations. However, the mechanisms underlying stem hollowness remain poorly understood. Water spinach (Ipomoea aquatica) is one of the few hollow-stemmed plants in the Convolvulaceae family, and its hollow stems are essential for thriving in aquatic environments. Using histochemical staining and transcriptome analysis, we identified programmed cell death (PCD) is involved in cavity formation of water spinach shoot tips. Single-cell transcriptome analysis further revealed that ethylene and reactive oxygen species (ROS) drive and regulate this process by activating transcription factors IaNAC074, IaNAC087, IaNAC029, IaNTL9, and IaTGA9, which initiate PCD, senescence, and autophagy, collectively controlling cell death. These findings were validated through treatments with ethylene and ROS reagents in water spinach and transient expression in tobacco. Additionally, transcriptomic data suggest that these mechanisms may also play a role in hollow stem formation in bamboo, highlighting the conservation of PCD regulatory mechanisms in plant development. This work not only fills a major knowledge gap in the adaptive mechanisms of hollow stem formation but also opens new avenues for agricultural and ecological applications, offering strategies to enhance crop tolerance to flooding and accelerate crop growth.

plant biology↗

bioRxiv2025

Molecular basis of vitamin K-dependent protein γ-glutamyl carboxylation

Gamma-glutamyl carboxylase (GGCX) in human is the sole enzyme responsible for catalyzing the carboxylation of glutamate (Glu) to {gamma}-carboxyglutamate (Gla), a process that relies on the deprotonation of reduced vitamin K. This post-translational modification of vitamin K-dependent proteins (VKDPs) plays a pivotal role in numerous biological processes. Mutations in GGCX are responsible for multiple clinical phenotypes; however, the molecular mechanisms of GGCX activity and its pathology remain poorly understood. In this study, we reported the cryo-electron microscopy (cryo-EM) structures of GGCX bound with the either FIX or FX, two VKDPs and vitamin K, and employed the biochemical and cellular assays as well as molecular dynamics simulations to elucidate its dual-catalytic properties. The enzyme comprises a transmembrane domain that anchors the vitamin K-binding site, along with an ER luminal domain that facilitates binding of coagulation factor IX (FIX) at the exosite. The catalytic center orchestrates the oxidation of vitamin K and the carboxylation of Glu residues through a Cap-H2 coupling mechanism, along where disease-associated mutations in GGCX are predominantly clustered. These findings offer a comprehensive molecular framework for understanding the allosteric regulation of GGCXs dual enzymatic activities and provide valuable insights for developing strategies to monitor and therapeutically target vitamin K metabolism in related diseases.

biochemistry↗

bioRxiv2025

Asymmetric subspecies-selection of an NLR-TF immune module and reconstruction of broad-spectrum disease resistance in rice

Artificial selection has greatly shaped crop agronomic traits; however, the mechanistic basis of immunity selection has remained elusive. This study identifies a new rice NLR XA48 and its downstream transcription factor OsVOZ1, which confer bacterial blight resistance. XA48 perceives an ancient pathogen effector, XopG, to activates effector-triggered immunity (ETI). The XA48-OsVOZ1 module has undergone subspecies-specific selection. Xa48 is retained in indica but functionally lost in japonica rice. OsVOZ1 has also diverged into two haplotypes, indica kept both OsVOZ1A/S alleles that match XA48; while japonica only inherited OsVOZ1A that greatly decreases yield when Xa48 is reintroduced into japonica, mechanistically explaining the Xa48 loss in japonica. We resurrected wild rice broad-spectrum resistance by stacking XA48-mediated ETI with XA21-mediated pattern-triggered immunity (PTI). Thus, our study reveals that the asymmetric selection of an NLR-TF module shapes both disease resistance and reproduction, and provides a paradigm for breeding crops by harnessing the immunity of wild relatives.

genetics↗

bioRxiv2025

Spatiotemporal changes in soil properties predict plant health at continental scale

Abiotic and biotic soil properties are strong predictors of plant yield globally1-5, but they become unreliable over large areas when plant health is threatened by pathogen6-8. Here we present a novel approach to predict plant health based on spatiotemporal changes in soil chemical and biological properties. We first demonstrate that plant health and soil properties consistently respond to environmental change (organic fertilization) regardless of the soil type or geographical origin. Second, we experimentally show that trackable shifts in soil properties reliably explain soil suppressiveness to the Ralstonia solanacearum bacterial pathogen and that a scalable spatiotemporal model predicts plant health with 84% accuracy across multiple climatic zones and cropping systems. Our results suggest that this tight coupling between soil properties and plant health could facilitate the development of agricultural practices aimed at sustainably improving crop yields while safeguarding crop health.

ecology↗

bioRxiv2024

Systematic Benchmarking of High-Throughput Subcellular Spatial Transcriptomics Platforms

Recent advancements in spatial transcriptomics technologies have significantly enhanced resolution and throughput, underscoring an urgent need for systematic benchmarking. To address this, we collected clinical samples from three cancer types - colon adenocarcinoma, hepatocellular carcinoma, and ovarian cancer - and generated serial tissue sections for systematic evaluation. Using these uniformly processed samples, we generated spatial transcriptomics data across five high-throughput platforms with subcellular resolution: Stereo-seq v1.3, Visium HD FFPE, Visium HD FF, CosMx 6K, and Xenium 5K. To establish ground truth datasets, we profiled proteins from adjacent tissue sections corresponding to all five platforms using CODEX and performed single-cell RNA sequencing on the same samples. Leveraging manual cell segmentation and detailed annotations, we systematically assessed each platforms performance across key metrics, including capture sensitivity, specificity, diffusion control, cell segmentation, cell annotation, spatial clustering, and transcript-protein alignment with adjacent CODEX. The uniformly generated, processed, and annotated multi-omics dataset is valuable for advancing computational method development and biological discoveries. The dataset is accessible via SPATCH, a user-friendly web server for visualization and download (http://spatch.pku-genomics.org/).

genomics↗

bioRxiv2024

Positive impact of Type-A and -C response regulator genes on growth and panicle architecture in rice

Cytokinin signal transduction occurs through a "two-component system." Type-A and -C response regulators (RRs) are groups of proteins of similar structures constituting significant components of cytokinin signal transduction. In rice, 13 (Type-A) and two (Type-C) RRs have been identified to date; however, their functions remain partially known. In this study, we examined the expression patterns of Type-A and Type-C RRs in rice using RNA-Seq and confirmed their functions by constructing mutants of the 15 genes with CRISPR/Cas9. Almost all Type-A RRs played positive roles in the development of secondary branches and secondary spikelets, particularly RR2 and RR4. Notably, rr1 rr2 and rr8 rr12 rr13 higher-order mutants displayed small panicle sizes and decreased plant height. Additionally, both Type-C RRs played positive roles in regulating heading date. RNA-seq revealed several genes with significantly altered expression in the rr2 and rr4 mutants, with almost half of the differentially expressed genes (DEGs) overlapping between the two mutants. Many of the DEGs were associated with the cytokinin and abscisic acid pathways. Our findings provide new insights into the functions of Type-A and -C RRs in rice growth and may serve as a foundation for future studies focusing on cytokinin signaling.

plant biology↗

bioRxiv2024

C-Reactive Protein Drives Potent Clearance of Blood Bacteria in the Liver by Activating the Complement System

Plasma C-reactive protein (CRP) is widely used as a biomarker for bacterial infections due to its massive induction during infections, however, the precise function of CRP in bacterial infections remains undefined. Here we show that CRP enables Kupffer cells (liver macrophages) to capture and eliminate a wide range of encapsulated bacteria from the bloodstream of mice and thereby provides rapid and effective immunity. Mechanistically, CRP binds to the structurally diverse capsular polysaccharides of major Gram-positive and -negative pathogens, and thereby activates complement C3 at the bacterial surface. The C3-opsonized microbes are in turn captured by C3 receptors on the surface of Kupffer cells, and eliminated in the liver sinusoids. Since CRP principally shares the functional features of antibodies in pathogen recognition/execution, CRP-based defense combines the broad spectrum of the innate immunity with the swiftness, potency and specificity of the adaptive immunity, which helps explain massive rise of CRP during systemic bacterial infections.

immunology↗

bioRxiv2024

A mosaic of whole-body representations in human motor cortex

Understanding how the body is represented in motor cortex is key to understanding how the brain controls movement. The precentral gyrus (PCG) has long been thought to contain largely distinct regions for the arm, leg and face (represented by the "motor homunculus"). However, mounting evidence has begun to reveal a more intermixed, interrelated and broadly tuned motor map. Here, we revisit the motor homunculus using microelectrode array recordings from 20 arrays that broadly sample PCG across 8 individuals, creating a comprehensive map of human motor cortex at single neuron resolution. We found whole-body representations throughout all sampled points of PCG, contradicting traditional leg/arm/face boundaries. We also found two speech-preferential areas with a broadly tuned, orofacial-dominant area in between them, previously unaccounted for by the homunculus. Throughout PCG, movement representations of the four limbs were interlinked, with homologous movements of different limbs (e.g., toe curl and hand close) having correlated representations. Our findings indicate that, while the classic homunculus aligns with each areas preferred body region at a coarse level, at a finer scale, PCG may be better described as a mosaic of functional zones, each with its own whole-body representation.

neuroscience↗

bioRxiv2024

G3BP1 Maintains Vascular Endothelial Barrier Integrity by Negatively Regulating the MYD88-ARNO-ARF6 Signaling Pathway

Endothelial permeability is essential for vascular function. This process is regulated by intercellular junctions, including adherens junctions (AJs) and tight junctions (TJs), which form the endothelial barrier and dynamically connect adjacent cells. However, the mechanisms that control endothelial permeability are not fully understood. We investigated the role of the RNA-binding protein G3BP1 in regulating endothelial permeability. We examined the effects of Loss of g3bp1 in conditional knockout mice and primary human HUVEC cells. We analyzed endothelial barrier integrity and permeability, focusing on AJ and TJ expression, under both normal and LPS-induced inflammatory conditions. Loss of g3bp1 in vascular endothelial cells decreased AJ and TJ expression, compromised barrier integrity, and increased permeability. These effects were exacerbated under LPS-induced inflammatory conditions. Loss of g3bp1 also increased the expression of MYD88, ARNO, and ARF6, and enhanced ARF6 activity. Mechanistically, G3BP1 bound to and stabilized MYD88 mRNA, negatively regulating the MYD88-ARNO-ARF6 signaling pathway. Inhibiting this pathway by reducing MYD88 or ARF6 expression, or inhibiting ARNO activity, restored AJ/TJ expression and barrier function in G3BP1-deficient models. Our findings identify G3BP1 as a novel regulator of vascular endothelial permeability. G3BP1 acts by negatively regulating the MYD88-ARNO-ARF6 signaling pathway. Targeting G3BP1 may be a potential therapeutic strategy for diseases associated with endothelial barrier dysfunction.

physiology↗

bioRxiv2024

Droplet-AI-empowered high-throughput screening of cell-free gene expression

Cell-free gene expression (CFE) systems enable transcription and translation using crude cellular extracts, offering a versatile platform for synthetic biology by eliminating the need to maintain living cells. This allows direct manipulation of molecular components and the focused synthesis of specific products. However, the optimization of CFE systems is constrained by cumbersome composition, high costs, and limited yields due to numerous additional components required to maintain biocatalytic efficiency. While optimizing such complicated systems is daunting for existing high-throughput screening means, we introduce DropAI, a droplet-based, AI-driven screening strategy designed to optimize CFE systems with high throughput and economic efficiency. DropAI employs microfluidics to generate picoliter reactors and utilizes a fluorescent color-based coding-decoding system to address and screen a vast array of additive combinations. The in-droplet screening is complemented by in silico optimization, where experimental results train a machine-learning model to estimate the contribution of the components and predict high-yield combinations, which are then validated in vitro. Applying DropAI to an Escherichia coli-based CFE system, we simplified a set of 12 additives to only 3 essential components. Through further optimization, we achieved a 2.1-fold cost reduction and a 1.9-fold increase in yield for the expression of superfolder green fluorescent protein (sfGFP). This optimized formulation was further validated across 12 different proteins. Notably, the established E. coli model is successfully adapted to a Bacillus subtilis-based system through transfer learning, leading to doubled yield through prediction. DropAI thus offers a generalizable and scalable method for optimizing CFE systems, enhancing their potential for biochemical engineering and biomanufacturing applications.

bioengineering↗

bioRxiv2024

Acidotolerant soil nitrite oxidiser 'Candidatus Nitrobacter laanbroekii' NHB1 alleviates constraints on growth of acidophilic soil ammonia oxidisers

Nitrobacter strain NHB1 is a nitrite-oxidising bacterium previously co-enriched with the neutrophilic ammonia-oxidising bacterium Nitrosospira AHB1, a consortium that nitrifies under acidic conditions. Here we characterise the growth of isolated Nitrobacter strain NHB1 as a function of pH and nitrite (NO2-) concentration, and its influence on the activity of acidophilic soil ammonia-oxidising archaea (AOA) in co-culture. NHB1 is acidotolerant and grows optimally at pH 6.0 (range 5.0 - 7.5) at initial NO2- concentrations of 500 {micro}M. However, the optimum decreases to pH 5.0 at lower initial NO2- concentrations closer to those found in soil, with detectable growth down to pH 3.5. NHB1 has a comparatively high affinity for NO2- with an apparent-half-saturation constant (54 {micro}M) one order of magnitude lower than its closest relative, the neutrophilic strain Nitrobacter hamburgensis X14. In co-culture, NHB1 enhances the growth of acidophilic AOA. Specifically, Nitrosotalea devaniterrae Nd1 and Nitrosotalea sinensis Nd2 are sensitive to NO2--derived compounds and only oxidise [~]200-300 {micro}M ammonia (NH3) in batch cultures. However, in co-culture with NHB1, pH ranges were lowered by [~]0.5 pH units and both strains could oxidise up to 2.7-2.9 mM NH3, only limited by buffering capacity. NHB1 possesses a cyanase facilitating reciprocal cross-feeding via generating cyanate-derived NH3 and utilising AOA-derived NO2-. Removal of NO2- is likely crucial for nitrifier growth in acidic soils and this study highlights the importance of considering substrate and metabolic product concentrations when characterising physiology. Genome analysis reveals that NHB1 is distinct from validated species and the name Nitrobacter laanbroekii is proposed.

microbiology↗