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Advancing Malic Acid Production of Aspergillus oryzae: Combined Process Optimization and Application of Various Substrates | bab

Advancing Malic Acid Production of Aspergillus oryzae: Combined Process Optimization and Application of Various Substrates | bab | RMH | Scoop.it

In light of climate change and growing resource scarcity, microbial production of organic acids offers a sustainable alternative to fossil-based chemical synthesis. In this study, malic acid production by Aspergillus oryzae was optimized through cultivation temperature adjustment and biotin supplementation, while organic acid formation from various carbon sources was systematically characterized. The process conditions applied during substrate screening, including pH control using Na2CO3 and NaOH, Zn2+ supplementation and hypoxia, were based on previously established strategies to stimulate malic acid production. Cultivation at 35°C increased respiratory activity compared to 32°C, resulting in an average productivity of 0.17 g L−1 h−1. Biotin supplementation enhanced productivity by 20% and increased the carbon yield, defined as the proportion of consumed carbon recovered in malic acid, by 5%. Under optimized cultivation conditions, the highest malic acid productivity was achieved in cultivation with glucose as substrate and Na2CO3 as pH-neutralizing agent, reaching 57.57 g L−1 malic acid with a yield of 0.66 g g−1 and an overall productivity of 0.24 g L−1 h−1, while fructose and glycerol resulted in substantially lower productivities. Furthermore, we demonstrate the ability to perform carbon balancing even in the presence of carbonate-based neutralizing agents. This is achieved by quantifying and subtracting the CO2 generated during neutralization reactions from the total emissions, enabling precise determination of microbial CO2 production and calculation of carbon yields. By systematically combining optimization strategies reported in previous studies, this work achieves productivity and carbon efficiency exceeding those of the individual approaches reported so far.

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m-1str, fermentation

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Diversity-generating retroelements for programmable targeted hypermutagenesis | Nbt

Diversity-generating retroelements for programmable targeted hypermutagenesis | Nbt | RMH | Scoop.it

Diversity-generating retroelements (DGRs) are natural systems that accelerate the evolution of diverse bacterial functions through targeted hypermutation. We establish a method using DGRs coupled to recombineering (DGRec), which enables the diversification of any sequence of interest in E. coli. Detailed characterization of reverse transcriptase sequence biases demonstrates how it maximizes the exploration of the sequence space while avoiding nonsense mutations. By leveraging the high error rate of the DGR reverse transcriptase at adenines, DGRec can efficiently diversify user-defined sequence windows of 50–200 bp. Mutations can be focused at specific positions, with rates reaching up to 1.38 × 10−2 per base per generation, allowing up to 24 mutations to accumulate within a single target sequence after 48 h. We apply DGRec to phage λ host-range engineering, to the evolution of dCas9 variants and to accelerated evolution of specific nanobodies through a bacterial display setup. Lastly, we establish the feasibility of DGR-mediated mutagenesis in yeast by adapting a recombination and selection strategy previously developed for retrons. Diversity-generating retroelements are engineered for directed evolution in E.coli.

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3st, mutagenesis tool, bikard d

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Diel remodeling and cellular integration of the nitroplast | brvm

Diel remodeling and cellular integration of the nitroplast | brvm | RMH | Scoop.it

Nitrogen-fixing eukaryotes were not believed to exist in nature until the recent discovery of a N2 fixing organelle, or nitroplast, in the marine microalga Braarudosphaera bigelowii. This nitroplast (formerly known as UCYN A2) has long been recognized as key cyanobacterial contributor to global oceanic N2 fixation. However, how this novel organelle is integrated and regulated within the architecture of a eukaryotic cell remains unclear. Here, we combine multiscale volumetric imaging with cryo electron tomography to resolve the native architecture, cellular integration, and diel remodeling of the nitroplast in cultured and environmental cells. We find that the nitroplast occupies up to 10% of the cell volume and exhibits close interfaces with multiple host organelles through membrane contact sites, while integration of this metabolically demanding compartment does not disrupt global scaling of host organelles. Interestingly, the chloroplast-to-nitroplast volume ratio is conserved across distinct life stages. Cryo-electron tomography reveals that the nitroplast retains a reinforced four-layer cyanobacterial envelope and is additionally surrounded by two host derived layers that remodel across the day night cycle. During daytime N2 fixation, these host-derived barriers become locally discontinuous and the organelle interface becomes enriched with two distinct vesicle populations. Our findings suggest that dynamic control of organelle accessibility through transient membrane gating represents a fundamental strategy by which eukaryotic cells could domesticate new endosymbiotic functions during early organellogenesis.

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Translation quality control in Pseudomonas aeruginosa: current knowledge and perspectives | fems rev

Translation quality control in Pseudomonas aeruginosa: current knowledge and perspectives | fems rev | RMH | Scoop.it

The fitness and virulence of Pseudomonas aeruginosa rely on its ability to maintain a functional pool of ribosomes, which are essential for protein synthesis. This review explores the intricate ways of ribosome protection, rescue and hibernation, by which P. aeruginosa preserves ribosome functionality under stress. These processes enhance the adaptability and resistance of this pathogen to ribosome-targeting antibiotics and present significant challenges to current therapeutic strategies. By highlighting recent discoveries and identifying promising directions for future research, this review aims to explore potential targets for innovative drug discovery.

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Plant Synthetic Biology Takes Off: Bryophytes Onboard with New Tools, Systems, and Opportunities | asb

Plant Synthetic Biology Takes Off: Bryophytes Onboard with New Tools, Systems, and Opportunities | asb | RMH | Scoop.it

Plant synthetic biology is a highly innovative field that aims to better understand, redesign, and reprogram plants. Progress in recent years has been driven by technical developments such as modular cloning, gene circuits, genome editing, and synthetic genomics, which have expanded the field beyond traditional single-gene strategies. However, most efforts remain focused on angiosperms, leaving much of plant diversity underexplored and limiting potential applications due to the inherent complexity of these systems. Simpler, underutilized plant systems, particularly bryophytes, provide an alternative experimental platform for rapid tool development and, more broadly, for the establishment of universal as well as synergistic bioengineering approaches across different plant lineages. This review highlights recent advances that underscore the importance of bryophytes as plant synthetic biology systems. Progress across mosses, hornworts, and liverworts is discussed, with particular emphasis on Marchantia polymorpha as a leading model.

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1str

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Emerging roles of non-m6A mRNA modifications in plants | Npt

Emerging roles of non-m6A mRNA modifications in plants | Npt | RMH | Scoop.it

Internal chemical modifications of mRNA constitute a key epitranscriptomic layer of gene regulation in eukaryotes. Although N6-methyladenosine (m6A) has been the most intensively studied, accumulating evidence reveals important roles of non-m6A mRNA modifications, such as 5-methylcytosine, N4-acetylcytidine and pseudouridine, in plants. These modifications modulate diverse aspects of mRNA metabolism, including alternative splicing, stability, translation and long-distance transport, and thereby shape plant development and environmental adaptation. Here we summarize current advances in understanding non-m6A mRNA modifications in plants, emphasizing their regulatory roles in mRNA metabolism and their effects on plant development and stress resilience. We also review the detection technologies for non-m6A modifications and discuss key challenges and future directions towards elucidating their regulatory functions. This Review highlights emerging roles of non-m6A modifications, such as 5-methylcytosine, N4-acetylcytidine and pseudouridine, in plant mRNAs, outlining their effects on mRNA processing, development and stress adaptation, as well as advances in detection methods and future directions.

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A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins | brvai

A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins | brvai | RMH | Scoop.it

Engineering small-molecule binding proteins de novo remains a significant challenge as even advanced generative models struggle to model the atom-level details of protein-ligand interactions with sufficient accuracy. Higher experimental success rates have resulted from methods that explicitly scaffold predefined binding interactions into helical bundles. Here we introduce a scaffolding strategy that generalizes to alpha-beta architectures. By screening thousands of combinatorially assembled protein-ligand interactions against diverse de novo backbones with finely varied pocket geometries, the protocol allows for high-fidelity accommodation of target interaction geometries. Our protocol then integrates physics-based and deep learning methods for optimization of interfacial interactions and sequence-structure compatibility, considerably improving in silico design metrics. Applying this method to two chemically similar steroids achieved a notable experimental success rate (4/26 designs bind their targets), and NMR structures of two designs are in good agreement with design models. Our generalizable, atomically precise approach offers a robust framework for small-molecule binder design, effectively eliminating the need for high-throughput screening.

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kortemme

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Artificial allosteric protein switches with machine-learning-designed receptors | Nbt

Artificial allosteric protein switches with machine-learning-designed receptors | Nbt | RMH | Scoop.it

Protein allostery underlies most information and energy processing in biology and the development of artificial allosteric proteins is a key objective of synthetic biology and biotechnology. We show that machine-learning-engineered minimal ligand-binding domains act as efficient receptors in single-component allosteric switches, despite lacking global conformational change. Such colorimetric, luminescent and electrochemical biosensors of small molecules, peptides and proteins can be compiled into intramolecular YES and AND logic gates. Furthermore, we report fully synthetic allosteric switches composed of artificial receptor and reporter domains. Hydrogen/deuterium exchange mass spectrometry and 19F nuclear magnetic resonance analyses suggest that ligand binding reduces the conformation entropy of the system, increasing the catalytic activity of the reporter domain. The potential practical utility of this approach is demonstrated by engineering Escherichia coli cells with steroid-dependent antibiotic resistance and by developing bioelectronic devices capable of quantifying steroid hormones. Allosteric biosensors are constructed by combining reporter proteins with machine-learning-designed receptor domains.

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m-3st, baker d, nano-sensor, During this study, we repeatedly used the β-lactamase reporter domain, prompting a question of whether the synthetic receptors are reporter specific and whether the approach is generalizable. To test this, we constructed chimeras between a circular permutated 17-OHP binder and two alternative reporter enzymes such as PQQ-glucose dehydrogenase (PQQ-GDH) and NanoLuciferase. In both cases, we were able to identify steroid-responsive chimeras

Binding of a ligand reduces the conformation entropy of the system and increases the catalytic activity of the reporter domain.

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Molecular basis for methylation-sensitive editing by Cas9 | nat

Molecular basis for methylation-sensitive editing by Cas9 | nat | RMH | Scoop.it

The bacterial CRISPR–Cas9 nuclease has become a powerful genome manipulation tool for a wide range of organisms. However, it has yet to fully leverage the pervasive presence of DNA methylation in genomes. Here, to fill this gap, we report biochemical, structural and human genome-editing characterizations of a methylation-sensitive Cas9 (ThermoCas9). ThermoCas9 efficiently binds to and cleaves DNA upstream of its protospacer adjacent motif (PAM) 5′-NNNNCGA-3′ or 5′-NNNNCCA-3′ in vitro. Methylation of the fifth cytosine in either PAM sequence (5mCpG or 5mCpC), however, significantly inhibits ThermoCas9 activity. Cryo-electron microscopy structures of ThermoCas9 in pre-cleavage and post-cleavage states at 2.8 Å and 2.2 Å resolution, respectively, reveal the molecular basis for the stringent requirement of the unmethylated cytosine in PAM binding and provide guidance for further enzyme engineering. We demonstrate methylation-sensitive editing by ThermoCas9 in human cell lines with distinct DNA methylation landscapes. Moreover, we demonstrate that a catalytically enhanced ThermoCas9 efficiently targets luminal expression signature genes that are consistently hypomethylated in patients with breast cancer. Owing to its sensitivity to DNA methylation, ThermoCas9 can specifically target cells with disease-related hypomethylation, which adds another layer of precision to genome-editing technologies. ThermoCas9, a genome-editing enzyme that is sensitive to the DNA methylation status of the target locus, is characterized and shows promise for targeting hypomethylated DNA regions in cancer cells.

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Molecular Fingerprints Are Strong models for Peptide Function Prediction | bft

Understanding peptide properties is often assumed to require modeling long-range molecular interactions, motivating complex graph neural networks and pretrained transformers. Whether such long-range dependencies are essential remains unclear. We investigate if simple, domain-specific molecular fingerprints can capture peptide function without these assumptions. Atomic-level representations aim to provide richer information than purely sequence-based models and better efficiency than structural ones. Across 132 datasets, including LRGB and five additional peptide benchmarks, models using count-based ECFP, Topological Torsion, and RDKit fingerprints with LightGBM achieve state-of-the-art accuracy. Despite encoding only short-range molecular features, these models outperform GNNs and transformer-based approaches. Control experiments confirm that fingerprints, though inherently local, suffice for robust peptide property prediction. Our results challenge the presumed necessity of long-range interaction modeling and highlight molecular fingerprints as efficient, interpretable, and lightweight alternatives.

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amp, benchmark

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Iron plaques as terminal electron acceptors optimize clostridial fermentation and nitrogen fixation in rice rhizospheres | isme

Iron plaques as terminal electron acceptors optimize clostridial fermentation and nitrogen fixation in rice rhizospheres | isme | RMH | Scoop.it

Fermentative Clostridium species associated with rice roots can contribute substantially to biological nitrogen fixation in anoxic paddy soils, yet whether their biological nitrogen fixation is regulated by the redox chemistry of rhizosphere remains unclear. Here we show that iron plaques on rice roots function as terminal electron acceptors that reprogram Clostridium fermentation and thereby enhance biological nitrogen fixation. In nitrogen-fixation microcosms, Clostridium sensu stricto I was selectively enriched under plaque-associated Fe(III)-reducing conditions, coinciding with elevated nitrogen fixation. Metabolomic profiling coupled with metabolic flux analysis revealed that Fe(III) reduction redirects a portion of carbon and electron flow from low-energy-yield solventogenesis toward high-energy-yield acidogenesis. This shift increases cellular ATP generation and expands the reductant pool, thereby benefiting the energetic and reductant demands of nitrogenase. Integrated transcriptomic and metagenomic analyses further identified NosR, a flavin mononucleotide-binding protein that is upregulated during Fe(III) reduction and may facilitate electron delivery to plaque-associated Fe(III). Our findings establish a mechanism in which iron plaque reduction optimizes fermentation for biological nitrogen fixation, providing fundamental insights into coupled Fe–N cycling in rice rhizospheres and suggesting potential strategies for sustainable nitrogen management in flooded agroecosystems.

mhryu@live.com's insight:

Oxygen release from roots promotes Fe(II) oxidation and the formation of iron plaques on root surfaces, creating a reactive Fe(III) reservoir.

In the presence of iron plaque, extracellular Fe(III) reduction serves as an alternative electron sink, efficiently regenerating NAD+. This relieves intracellular redox pressure, reprogramming metabolism by shifting the carbon flux from solventogenesis toward acidogenesis. The resulting increase in ATP and NAD(P)H pools ultimately supports enhanced nitrogen fixation.

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Oxidative stress constrains evolution of bacteriophage host-range diversity | isme

Oxidative stress constrains evolution of bacteriophage host-range diversity | isme | RMH | Scoop.it

Reactive oxygen species are essential for cellular signalling and redox homeostasis, but their accumulation causes cellular oxidative stress. In inflammatory bowel disease, oxidative stress is linked to chronic inflammation and alterations in the gut microbiota. We hypothesised that these alterations may result from the impact of reactive oxygen species on the interactions between bacteria and their viruses, bacteriophages. We followed the evolution of three E. coli strains and a virulent bacteriophage in a chemostat under continuous growth and studied the impact of oxidative stress on this community. We show that both the bacteriophage and its three hosts persisted in the system over 10 days, but the relative abundance of bacteriophages was decreased in the presence of reactive oxygen species. Oxidative stress also limited bacteriophage population diversity by favouring the selection of specialist bacteriophages with a narrower host range. Concomitantly, reactive oxygen species accelerated the evolution of bacterial resistance to bacteriophages and drove the fixation of genomic mutations in genes related to cell surface structures or located in mobile genetic elements. These results highlight that oxidative stress impacts the evolutionary dynamics between bacteria and bacteriophages with consequences for microbiota diversity and potential implications in the context of intestinal inflammation.

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Rhizobacteria-Mediated Plant Resilience to Abiotic Stresses: Drought, Salinity, and Heat | pce

Rhizobacteria-Mediated Plant Resilience to Abiotic Stresses: Drought, Salinity, and Heat | pce | RMH | Scoop.it

The frequent occurrence of drought, salinity and heat disasters due to global climate change has become a problem that cannot be ignored and seriously restricts food security and sustainable agricultural development. The role of rhizobacteria in the response of plants to abiotic stress has an important guiding significance in improving plant growth. This review summarizes the response of plant rhizosphere microbial communities to abiotic stress, analyzes the mechanism by which rhizosphere-related bacteria assist plants to resist abiotic stress, and expounds on the interaction between soil physical and chemical properties, the plant root metabolome, and the rhizosphere microbiome under abiotic stress. This review systematically summarizes the core roles and mechanisms of rhizobacteria in plants' defense against abiotic stress. Stress reshapes the rhizosphere microecology, with drought enriching Firmicutes and Actinobacteria, salt stress increasing Bacteroidetes abundance, and heat stress expanding the dominance of thermotolerant bacteria. Microbial diversity and network structure undergo adaptive reorganization. Streptomyces and Bacillus, as the twin stars aiding plants in enhancing stress resistance, provide medium- to long-term protection through rich secondary metabolites and mycelial networks, while Bacillus achieves acute responses via rapid spore germination, signal induction, and nutrient competition. Rhizobacteria improve soil nutrient availability by regulating carbon, nitrogen, and phosphorus cycles, secreting organic acids and enzymes, and induce plant osmotic adjustment, antioxidant, and anti-ethylene signaling networks through extracellular polysaccharides, volatile organic compounds, plant hormones, and 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase pathways, thereby systematically enhancing the host's water use efficiency and membrane stability. Future research should integrate multi-omics and field validation to precisely construct rhizosphere bacterial communities, providing theoretical basis and technical routes for green agriculture.

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AI for plant protein–protein interactions prediction | tpj

AI for plant protein–protein interactions prediction | tpj | RMH | Scoop.it

Protein–Protein interactions (PPI) wire plant cells, assembling metabolons, routing signals, and coordinating organelle crosstalk. We review experimental platforms and the computational signals long used to predict PPIs. While experimental platforms and traditional computational approaches have long been employed for PPIs prediction, recent advances in artificial intelligence offer unprecedented opportunities to map plant interactomes comprehensively. To provide a systematic overview, we categorize current methodologies into four thematic families: (i) sequence-centric predictors utilizing protein language models to extract evolutionary features; (ii) structure-based predictors integrating coevolutionary signals to reconstruct 3D complex arrangements; (iii) network-level learners employing graph architectures to capture global interactome topology; and (iv) geometric and generative methods leveraging symmetry-aware networks for specific site identification and de novo design. Despite rapid gains, plant applications are constrained by paralog expansion, compartmentalization, dynamic microenvironments, and the sparse availability of gold standards in the field. Next-generation plant AI PPI models should be organelle-aware, multimodal, rigorously benchmarked, structure-gated, and condition-validated.

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A biosynthetic survey of hypocrealean biocontrol fungi | Ncb

A biosynthetic survey of hypocrealean biocontrol fungi | Ncb | RMH | Scoop.it

Pests cause up to 40% of global crops losses. Pesticide overuse drives resistance and poses notable risks to public health and the environment. Many hypocrealean fungi form symbiotic relationships with plants while antagonizing pests, making them valuable sources of biocontrol agents and biopesticides. However, little is known about their biosynthetic capabilities. Here we use phylogenomics, metabolomics and heterologous expression to catalog the biosynthetic repertoire of 82 plant-associated and insect-associated Hypocreales species. Annotation of 5,221 biosynthetic gene clusters reveals that ~80% of them encode unknown products. By linking biosynthetic gene clusters to molecules, we investigate the biosynthesis of several natural products, including pyridones, dethiosecoemestrin and efrapeptin. Additionally, by combining our metabologenomics workflow with synthetic biology, we characterize four nonribosomal peptide synthetase-like synthetases involved in the biosynthesis of hitherto unknown products. We believe that this work lays the groundwork for future efforts toward sustainable pest control in agriculture. Crop losses from pests threaten global food security. Here, the authors survey the biosynthetic repertoire of hypocrealean fungi, identifying over 5,200 biosynthetic gene clusters, most encoding unknown products, and linking several to bioactive molecules for sustainable pest control.

mhryu@live.com's insight:

bgc, Hypocreales (Ascomycota) includes prominent biocontrol genera such as TrichodermaEpichloeBeauveriaMetarhizium and Lecanicillium.

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Dynamic co-existence of bacteriophages and their hosts in the Arabidopsis thaliana phyllosphere | brvp

Dynamic co-existence of bacteriophages and their hosts in the Arabidopsis thaliana phyllosphere | brvp | RMH | Scoop.it

Bacterial communities and the bacteriophages infecting them are the basis of every ecosystem, including holobionts. The various ways in which these microorganisms interact with each other in complex communities over the life of the host affects the holobiont fitness. Despite being ubiquitous and environmentally relevant, plant-associated microbial communities remain understudied, especially in the phyllosphere, mainly because of the low abundance of microbes and the complexity of the system. In this work we followed bacteria and phage community dynamics in the phyllosphere over a growing cycle of Arabidopsis thaliana, to understand the ecology and relevance of bacteriophages in complex bacterial communities. We focused on Pseudomonas, a common plant pathogen and commensal, and the phages infecting them, in three setups of increasing complexity: in vitro, controlled experiments in planta and in wild populations of A. thaliana. We found that bacterial communities are resilient to phage infection, and more dynamic than the phages infecting them over the growing season, suggesting that although ubiquitous and abundant, bacteriophages exert selective pressures on leaf bacterial communities only intermittently.

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weigel d

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Engineering Bacillus subtilis as a sustainable platform for the production of functional bile acids | cin

Engineering Bacillus subtilis as a sustainable platform for the production of functional bile acids | cin | RMH | Scoop.it
Bile acids and their derivatives are key regulators of host metabolism, immunity, and microbiome interactions, with growing therapeutic potential. Conventional production methods of bile acids relying on animal extraction or chemical synthesis are inefficient, costly, and environmentally unfriendly. Microbial synthesis offers a sustainable alternative but is limited by the absence of genetic tools for native anaerobic producers. Here, we reconstructed the bile acid 7α-dehydroxylation pathway in Bacillus subtilis, a safe and tractable host. We characterized the key Bai enzymes and performed comprehensive analyses of the bile acids generated through in vitro assays and whole-cell catalysis. Multiple intermediates and end products, including cholyl-CoA, 3-oxo-cholic acid, 3-oxo-4,5-6,7-didehydro-deoxycholic acid, 3-oxo-4,5-dehydro-deoxycholic acid, 3-oxo-deoxycholic acid, and deoxycholic acid, were identified. This work establishes a functional heterologous platform for bile acid biosynthesis, enabling sustainable production and future applications in therapeutics and microbiome engineering.
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Advancing Malic Acid Production of Aspergillus oryzae: Combined Process Optimization and Application of Various Substrates | bab

Advancing Malic Acid Production of Aspergillus oryzae: Combined Process Optimization and Application of Various Substrates | bab | RMH | Scoop.it

In light of climate change and growing resource scarcity, microbial production of organic acids offers a sustainable alternative to fossil-based chemical synthesis. In this study, malic acid production by Aspergillus oryzae was optimized through cultivation temperature adjustment and biotin supplementation, while organic acid formation from various carbon sources was systematically characterized. The process conditions applied during substrate screening, including pH control using Na2CO3 and NaOH, Zn2+ supplementation and hypoxia, were based on previously established strategies to stimulate malic acid production. Cultivation at 35°C increased respiratory activity compared to 32°C, resulting in an average productivity of 0.17 g L−1 h−1. Biotin supplementation enhanced productivity by 20% and increased the carbon yield, defined as the proportion of consumed carbon recovered in malic acid, by 5%. Under optimized cultivation conditions, the highest malic acid productivity was achieved in cultivation with glucose as substrate and Na2CO3 as pH-neutralizing agent, reaching 57.57 g L−1 malic acid with a yield of 0.66 g g−1 and an overall productivity of 0.24 g L−1 h−1, while fructose and glycerol resulted in substantially lower productivities. Furthermore, we demonstrate the ability to perform carbon balancing even in the presence of carbonate-based neutralizing agents. This is achieved by quantifying and subtracting the CO2 generated during neutralization reactions from the total emissions, enabling precise determination of microbial CO2 production and calculation of carbon yields. By systematically combining optimization strategies reported in previous studies, this work achieves productivity and carbon efficiency exceeding those of the individual approaches reported so far.

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m-1str, fermentation

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Postbiotics and paraprobiotics in food biochemistry mechanisms stability and nutritional applications | npj

Postbiotics and paraprobiotics in food biochemistry mechanisms stability and nutritional applications | npj | RMH | Scoop.it

Postbiotics, defined as preparations of inanimate microorganisms and their components that confer health benefits, are emerging as stable and safe alternatives to probiotics. This review summarizes recent advances in the biochemical composition, mechanisms of action, and applications of postbiotics and paraprobiotics in human and animal nutrition. It also highlights innovations in omics technologies, artificial intelligence, and sustainable production strategies that are shaping next-generation microbiome-based functional foods and therapeutic interventions.

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dead bacteria

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Advances in synthetic microbial ecosystems approach for studying ecological interactions and their influencing factors | 

Advances in synthetic microbial ecosystems approach for studying ecological interactions and their influencing factors |  | RMH | Scoop.it
Investigating ecological interactions within microbial ecosystems is essential for enhancing our comprehension of key ecological issues, such as community stability, keystone species identification, and the manipulation of community structures. However, exploring these interactions proves challenging within complex natural ecosystems. With advances in synthetic biology, the design of synthetic microbial ecosystems has received increasing attention due to their reduced complexity and enhanced controllability. Various ecological relationships, including commensalism, amensalism, mutualism, competition, and predation have been established within synthetic ecosystems. These relationships are often context-dependent and shaped by physical and chemical environmental factors, as well as by interacting populations and surrounding species. This review consolidates current knowledge of synthetic microbial ecosystems and factors influencing their ecological dynamics. A deeper understanding of how these ecosystems function and respond to different variables will advance our understanding of microbial-community interactions.
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Inducible, split base editors for in vivo cancer functional genomics | Nbt

Inducible, split base editors for in vivo cancer functional genomics | Nbt | RMH | Scoop.it

Cancer functional genomics using CRISPR base editors (BEs) holds great promise for molecular characterization and new target discovery. However, traditional BEs, using intact DNA deaminases as mutators, are often constrained by limited control and nonspecific toxicities. Here we developed a small-molecule-controllable system using split-engineered BEs (seBEs). By placing deaminase activity under small-molecule control, seBEs significantly reduced cellular toxicity and enabled robust and inducible in vivo functional genomics screens. High-density seBE genetic screens using ~11,000 single guide RNAs in vitro and ~3,700 single guide RNAs in vivo reveal known and previously unknown loss-of-function and dominant-negative mutations in cancer therapeutic targets. A deeper tiling seBE screen against Adar1, a key mediator in cancer immunotherapy, reveals critical residues within functional domains that show no phenotype in vitro but distinctively elicit non-cell-autonomous cancer dependencies in vivo. Overall, our seBE system offers a generalizable, controllable and highly efficient method to systematically identify key residues in cancer functional genomics. Inducible base editors enhance cancer genomic screens in vivo.

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Not just passengers: Phages as agents of genetic exchange in fecal microbiota transplantation | chm

Not just passengers: Phages as agents of genetic exchange in fecal microbiota transplantation | chm | RMH | Scoop.it
Fecal microbiota transplantation (FMT) is an effective therapy for recurrent Clostridioides difficile infection and is increasingly being explored for other microbiota-associated diseases. However, general research has largely focused on bacterial engraftment, overlooking the contribution of the gut virome. In this perspective, we highlight phage-mediated horizontal gene transfer (HGT) as a potentially influential process occurring following FMT. Donor-derived phages may potentially influence community structure, engraft in resident bacteria, and modulate microbial functions or host physiology. In addition, temperate phages are well-equipped to mobilize bacterial genes, such as metabolic functions, stress-response traits, and antibiotic resistance determinants, raising the possibility that gene flow could well contribute to FMT outcomes. We propose a conceptual model in which phages act as bidirectional mediators of adaptation, not only accompanying bacterial communities but also influencing gut ecosystems in subtle, yet potentially consequential, ways.
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Extracellular vesicle-mediated metabolic exchange shapes the seasonal assembly of aquatic bacterial communities | Nwt

Extracellular vesicle-mediated metabolic exchange shapes the seasonal assembly of aquatic bacterial communities | Nwt | RMH | Scoop.it

Microorganisms secrete extracellular vesicles (EVs) that transport bioactive molecules, including proteins and metabolites. While their functions are well studied in model microbes, their ecological contributions to natural ecosystems remain largely unexplored. Here we performed an integrative study investigating the role of environmental EVs in shaping microbial community assembly in the Xinglinwan Reservoir. By combining genome-scale metabolic models and multi-omics of field EVs, we found that EVs mediated metabolite exchanges mainly through carrying amino acids, disaccharides, carbohydrate-active enzymes (CAZymes) and signals. EVs can facilitate the growth of amino acid auxotrophic strains. Moreover, EVs act as an external reservoir of functional traits, potentially reinforcing stochastic assembly processes and conferring functional redundancy to the ecosystem. Collectively, our integrative data demonstrate that EV-mediated metabolic exchange is an auxiliary mechanism supplementing classical nutrient transport in aquatic environments. EVs emerge here as a significant, distinct vector in biogeochemical cycling, offering a critical layer for resolving complex natural microbial interactions. Microorganisms release extracellular vesicles, but their ecological roles in natural environments remain unclear. A year-long multi-omics study reveals that environmental extracellular vesicles mediate metabolite exchange central to carbon and nitrogen cycling while stabilizing microbial communities.

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Bacillus populations restore amino acid metabolism in Mesorhizobium under saline–alkali stress to enhance nitrogen fixation efficiency | isme

Bacillus populations restore amino acid metabolism in Mesorhizobium under saline–alkali stress to enhance nitrogen fixation efficiency | isme | RMH | Scoop.it

The root nodules formed by rhizobia and leguminous plants are specialized structures for nitrogen fixation. However, a large number of non-rhizobial endophytes (NREs) also coexist within the nodules, and their contribution to nitrogen fixation under abiotic stress conditions remains unclear. Here, using the wild leguminous shrub Sophora davidii as model system, we identified an important NRE (Bacillus siamensis BT-9-1) by analyzing keystone taxa within the bacterial cooccurrence network of root nodules. This strain could improve the survival of Mesorhizobium metallidurans YC-39 under saline-alkali stress. A mechanistic investigation revealed that the expression of ilvA, ilvH, and ilvD was downregulated, and the contents of (2S)-isopropylmalate and succinic acid decreased in M. metallidurans YC-39 under saline–alkali conditions, whereas B. siamensis BT-9-1 presented increased accumulation of these metabolites. These findings indicate that B. siamensis BT-9-1 cross-feeds M. metallidurans YC-39 with these metabolites, rescuing the compromised branched-chain amino acid synthesis pathway and the TCA cycle in saline–alkali environments. Eventually, coinoculation with B. siamensis BT-9-1 and M. metallidurans YC-39, along with (2S)-isopropylmalate and succinic acid supplementation, increased nitrogenase activity of the symbionts. Our study reveals a novel mechanism by which non-rhizobial endophyte Bacillus species enhances the growth and nitrogen fixation efficiency of M. metallidurans under saline-alkali stress through the delivery of key metabolites.

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The next frontier: Exploring plant hypoxia sensing and response mechanisms through synthetic biology | pnas

The next frontier: Exploring plant hypoxia sensing and response mechanisms through synthetic biology | pnas | RMH | Scoop.it
Plants face hypoxic conditions either chronically, as particular tissues are characterized by fluctuating or stable low oxygen levels, or acutely, when flooded. In vascular plants, transcriptional adaptive responses to hypoxia are rapidly mounted by Ethylene Response Factors VII (ERFVIIs), regulated by Plant Cysteine Oxidases (PCOs) through the cysteine branch of the N-degron pathway (Cys-NDP) for oxygen sensing. However, this relatively simple regulatory circuit, consisting of both constitutively expressed as well as hypoxia-inducible ERFVIIs and PCOs, interacts with diverse signaling cues and pathways invoked by hypoxia. To understand the share of the PCO-mediated oxygen sensing mechanism in the production of hypoxia responses, we insulated the PCO/ERFVII circuit from Arabidopsis thaliana and adapted it to Saccharomyces cerevisiae. Using a reporter gene to monitor the output of the circuit allowed us to compare the speed and amplitude of response to hypoxia in the engineered yeast and the source organism. Hypoxia triggered ERFVII stabilization both in Arabidopsis and yeast, leading to a similarly fast transcriptional response that was however larger in plants. A simple hypoxia-inducible feedback loop improved the amplitude of response in yeast, demonstrating the importance of this regulation in the endogenous PCO/ERFVII circuit. Finally, computational modeling of the yeast circuit enabled us to identify promoter competition and presence of hypoxia-inducible PCOs as key parameters that shape early hypoxia responses in plant cells.
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https://www.pnas.org/doi/10.1073/pnas.2524358123 The MynOx orthogonal system to study plant hypoxia sensing and response through a synthetic biology approach. Biochemical, molecular, and genetic information gathered by the plant hypoxia scientific community was used to design a sensor, an effector and a reporter that could be introduced in the yeast S. cerevisiae. Combined with the use of thin-­layered yeast colonies, MynOx enabled the identification of positive feedback mechanisms in early hypoxia response. Mathematical modeling further inferred a particular relevance of PCO activity and ERFVII-mediated titration effects. This new information and hypotheses may be leveraged to better understand how plants sense and respond to hypoxia, with potential applications in terms of improving crop tolerance to flooding.

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Unleashing the Potential of Engineered Nanoparticles in Mitigating Abiotic Stress in Plants: A Review | ppl

Unleashing the Potential of Engineered Nanoparticles in Mitigating Abiotic Stress in Plants: A Review | ppl | RMH | Scoop.it

Abiotic stress is a major problem which threatens agricultural productivity and global food security. Drought, extreme temperatures, salinity, and heavy metal contaminations cause disturbances in plant cellular homeostasis, impair metabolic processes, and reduce crop yields. Plants possess innate defense mechanisms against abiotic stresses by expressing stress-responsive genes, accumulating osmo-protectants, and the activation of antioxidant enzymes. Failure of these defense mechanisms under prolonged stress conditions leads to homeostatic imbalances. Recently, nanotechnological approaches like nanoparticle-mediated delivery systems have been developed to enhance the plants' resilience against stress conditions. Engineered nanoparticles (ENPs) have unique physicochemical properties such as a high surface area, high reactivity, and a tunable surface chemistry. These properties enable the nanoparticles to interact with plant systems at molecular and cellular levels, modulate stress signaling pathways, trigger the upregulation of stress-responsive genes, and reduce oxidative stress by increasing antioxidant enzymes' activity. However, under certain environmental conditions, ENPs may also induce oxidative damages and exhibit phytotoxicity. This review encompasses a comprehensive overview on the role of nanoparticles in abiotic stress management, along with detailed insights into the biosafety and environmental toxicity of ENPs. Overall, the review highlights the novel insights of ENPs-plant interactions and identifies existing knowledge gaps through a systematic literature review to guide future research towards sustainable agriculture.

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