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Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis | msp

Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis | msp | RMH | Scoop.it
Flow cytometry is a powerful tool to monitor microbial communities, as it allows tracking both changes in the subpopulations and cell numbers at high throughput and a low sample cost. This information can be combined in a phenotypic fingerprint that can be leveraged for diversity analysis. However, as isogenic individuals can manifest phenotypic diversity, for example, due to differing physiological state and phenotypic plasticity, combining the phenotypic information with taxonomic information adds an extra dimension for describing the dynamics of a microbial community. In this research, taxonomic information was incorporated in the microbial fingerprint through fluorescent in situ hybridization (FISH) at a single-cell level. To validate this concept and explore its versatility, two ecosystems with different micro-biodiversity were considered. In the first environment, marine bacteria were monitored for plastic biodegradation in a trickling filter, and in the second, an in vitro simulated human gut microbiome was followed over time. Samples were prepared using different (staining) methods, including FISH, and beta diversity analysis was used to evaluate the level of distinction between differently treated groups in both environments. As a reference to correlate increased distinction with the incorporation of taxonomic information, 16S rRNA gene sequencing was used. Finally, a predictive algorithm was trained to correctly classify samples in the differently treated groups. The results showed that the implementation of FISH in flow cytometry provides more information on a single-cell level to answer specific scientific questions, like distinguishing between phenotypically similar communities or following a specific taxonomic group over time.
?'s insight:

1str, methods, flow cytometric fingerprinting could be improved: (i) non-fixed samples stained with Sybr Green (SG), (ii) paraformaldehyde (PFA) fixed samples stained with SG, (iii) fixed samples stained with 4′,6-diamidino-2-phenylindole (DAPI), and (iv) fixed FISH samples counterstained with DAPI. Diversity analyses of these were compared with the diversity analysis of the 16S rRNA gene amplicon sequencing samples.

(1) (environmental) mixed-culture samples (2). Screening the overall taxonomic structure of the samples based on literature (3), followed by a selection of probes covering the most important taxa (4), performing FISH and flow cytometry measurements, after which (5) packages such as Phenoflow (4) and PhenoGMM

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Biotechnological Advances in L-DOPA Biosynthesis and Production | BaB

Biotechnological Advances in L-DOPA Biosynthesis and Production | BaB | RMH | Scoop.it

l-DOPA (3,4-dihydroxyphenyl-l-alanine) has been the primary medication for treating Parkinson's disease (PD), a degenerative brain disorder related to dopamine depletion, for the past six decades. As a result, biotechnological approaches utilizing metabolic engineering in microorganisms or enzymatic processes have been extensively explored as promising alternatives for l-DOPA production. These methods not only enhance conversion efficiency and enantioselectivity but are also cost-effective and environmentally sustainable. Metabolic engineering strategies have been employed to engineer Escherichia coli strains capable of accumulating l-DOPA from glucose by regulating carbon metabolism pathways. Additionally, microbial systems expressing tyrosinase, p-hydroxyphenylacetate 3-hydroxylase (PHAH), or tyrosine phenol-lyase (TPL) have been utilized for l-DOPA biosynthesis. In this review, we summarize current advancements in l-DOPA biosynthesis and biotechnological production strategies, providing a comparative analysis of their advantages and limitations. Moreover, we discuss the promise of biotech-driven l-DOPA production, emphasizing its industrial applications and large-scale production feasibility.

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review

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Nonequilibrium polysome dynamics promote chromosome segregation and its coupling to cell growth in Escherichia coli | eLife

Nonequilibrium polysome dynamics promote chromosome segregation and its coupling to cell growth in Escherichia coli | eLife | RMH | Scoop.it

Chromosome segregation is essential for cellular proliferation. Unlike eukaryotes, bacteria lack cytoskeleton-based machinery to segregate their chromosomal DNA (nucleoid). The bacterial ParABS system segregates the duplicated chromosomal regions near the origin of replication. However, this function does not explain how bacterial cells partition the rest (bulk) of the chromosomal material. Furthermore, some bacteria, including Escherichia coli, lack a ParABS system. Yet, E. coli faithfully segregates nucleoids across various growth rates. Here, we provide theoretical and experimental evidence that polysome production during chromosomal gene expression helps compact, split, segregate, and position nucleoids in E. coli through nonequilibrium dynamics that depend on polysome synthesis, degradation (through mRNA decay), and exclusion from the DNA meshwork. These dynamics inherently couple chromosome segregation to biomass growth across nutritional conditions. Halting chromosomal gene expression and thus polysome production immediately stops sister nucleoid migration, while ensuing polysome depletion gradually reverses nucleoid segregation. Redirecting gene expression away from the chromosome and toward plasmids causes ectopic polysome accumulations that are sufficient to drive aberrant nucleoid dynamics. Cell width enlargement experiments suggest that limiting the exchange of polysomes across DNA-free regions ensures nucleoid segregation along the cell length. Our findings suggest a self-organizing mechanism for coupling nucleoid compaction and segregation to cell growth without the apparent requirement of regulatory molecules.

?'s insight:

1str, cell size, polysomes (hereafter collectively referred to as ‘polysomes’ for simplicity), which consist of mRNAs loaded with one or more translating ribosomes. Consistent with a steric clash between polysomes and the nucleoid meshwork, fluorescently labeled ribosomes accumulate in DNA-free regions such as the cell poles and between segregated nucleoids. Polysome accumulation beyond a certain concentration threshold drives phase separation between the DNA and polysomes at the mid-nucleoid location, resulting in nucleoid splitting.

To achieve polysome accumulation at ectopic sites in experiments, we overexpressed a useless protein (mTagBFP2) for the cell from a T7 promoter on a multi-copy pET28 plasmid (Figure 7A). The resulting CJW7798 strain also carried the ribosome (RplA-msfGFP) and DNA (HupA-mCherry) markers. We reasoned that high expression of BFP2 from the plasmid would slow polysome production within the nucleoid and create polysome accumulations at ectopic cellular locations through the recruitment of ribosomes to plasmid transcripts. This, in turn, should affect nucleoid dynamics. The gradual increase of mTagBFP2 fluorescence in the cells was associated with a concomitant decrease in cell growth rate (Figure 7C), consistent with reduced gene expression from the chromosome. We found that induced cells displayed various patterns of polysome accumulations (Video 5), presumably due to stochastic clustering of plasmids in DNA-free regions as previously reported for multi-copy plasmids devoid of DNA partitioning genes (Hsu and Chang, 2019Reyes-Lamothe et al., 2014Yao et al., 2007). Importantly, the ectopic accumulations of polysomes had a drastic effect on nucleoid dynamics. In some cells, polysomes accumulated at one pole instead of the middle of the nucleoid, preventing the nucleoid from splitting

we first treated cultures with A22 to inhibit cell width control through the inactivation of MreB

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Segatella copri and gut microbial ammonia metabolism contribute to chronic kidney disease pathogenesis | Nmb

Segatella copri and gut microbial ammonia metabolism contribute to chronic kidney disease pathogenesis | Nmb | RMH | Scoop.it

Alterations in gut microbiota have been linked to chronic kidney disease (CKD), but large-scale studies and mechanistic insights are limited. Here we analyzed gut metagenome data from 1,550 older individuals (aged 65–93 years) with comprehensive kidney function measurements. Segatella copri was positively associated with kidney function through microbial ammonia metabolism-related pathways and the asnA gene, which encodes an ammonia-assimilating enzyme. These associations were replicated in two external studies. In mice, ammonia supplementation increased serum levels of creatinine and blood urea nitrogen, accelerating CKD progression. In vitro cultures of S. copri or asnA-overexpressing Escherichia coli reduced ammonia concentrations, which was markedly attenuated in asnA-knockout S. copri. Gavage of either S. copri or asnA-overexpressing E. coli, but not asnA-knockout S. copri, mitigated ammonia-induced CKD progression in mice. These findings highlight the role of gut microbial ammonia metabolism in CKD pathogenesis and underscore the therapeutic potential of microbial-based interventions. Using human data and mice models, it was revealed that assimilation of ammonia by a gut microbe prevents its harmful accumulation that can impair kidney function.

?'s insight:

synlogic, 2st

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ERSAtool: A User-Friendly R/Shiny Comprehensive Transcriptomic Analysis Interface Suitable for Education | Brvbi

RNA sequencing (RNA-seq) has become an essential technology for assessing gene expression profiles in biomedical research. However, the coding complexity of RNA-seq data analysis remains a significant barrier for students and researchers without extensive bioinformatics expertise. We present the Educational RNA-Seq Analysis tool (ERSAtool), a comprehensive R/Shiny interface that provides an intuitive graphical visualization of the complete RNA-seq analysis workflow. The application is built on established Bioconductor packages and upholds high standards in analyses while significantly reducing the technical expertise required to conduct sophisticated transcriptomic analyses. ERSAtool supports various input formats, such as raw count matrices and STAR alignment outputs. It generates sample information metadata through direct integration with the Gene Expression Omnibus (GEO) provided by the National Center for Biotechnology Information (NCBI). The application guides users through normalization, data visualization, differential expression analysis, and functional interpretation using Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA). All results can be compiled into comprehensive, downloadable reports that enhance reproducibility and knowledge sharing. The design includes targeted features that facilitate educational use, making it especially useful for teaching transcriptomics in undergraduate to graduate-level bioinformatics courses. By connecting command-line bioinformatics tools with accessible graphical interfaces, ERSAtool improves accessibility to advanced transcriptomic analysis capabilities, potentially accelerating discoveries across various biological fields.  https://github.com/SuzukiLabTAMU/ERSAtool 

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A general temperature dependence for biological nitrogen fixation across systems and levels of organization | Brveco

Biological nitrogen fixation (BNF) provides half of global new nitrogen annually and plays an important role in biodiversity patterns and global biological carbon uptake processes. BNF rates accelerate with warming, with known implications for ecological functioning, yet the strength of this temperature sensitivity and its context dependence are not well understood. Here we synthesize 70 controlled experimental tests of the acute temperature dependence of nitrogen fixation rates and demonstrate that BNF rates accelerate with temperature in a remarkably consistent manner across biological systems. BNF temperature dependence is also consistent across levels of biological organization from enzyme to community, mirroring scaling of metabolic temperature dependence across levels of organization for respiration, photosynthesis and methane production. This analysis provides the first evidence of general, scalable effects of temperature on nitrogen fixation rates, which can be used to better predict shifts in coupled carbon-nitrogen systems with global change.

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The human gut microbiota is associated with host lifestyle: a comprehensive narrative review | frn

The human gut microbiota is associated with host lifestyle: a comprehensive narrative review | frn | RMH | Scoop.it

The gut microbiota serves as a critical interface between lifestyle factors and host physiology. Despite extensive research on individual domains including diet, sleep, and exercise, an integrated understanding of their synergistic effects on microbial communities remains incomplete. This knowledge gap limits our ability to develop targeted microbiome-based interventions for metabolic and immune-related disorders.  To address this gap, we conducted a comprehensive evaluation of peer-reviewed literature from 2000 to present, identified through systematic searches of PubMed, Web of Science, and Scopus using key terms related to gut microbiota and lifestyle interventions. Our analysis focused on studies incorporating microbiome profiling techniques, controlled lifestyle interventions, and multi-omics data integration. The review prioritized mechanistic insights from both clinical and preclinical investigations while critically assessing methodological approaches across the field.  High-fiber dietary patterns consistently promoted the abundance of beneficial, short-chain fatty acid-producing bacteria, though with notable inter-individual variation. Circadian rhythm disruption was associated with reduced microbial diversity and expansion of pro-inflammatory bacterial taxa, paralleling increases in systemic inflammation markers. Athletic populations demonstrated unique microbial signatures characterized by enhanced metabolic potential, with distinct taxonomic profiles emerging across different sport disciplines.  This work synthesizes current evidence into a novel framework for understanding lifestyle-microbiota interactions, while identifying key challenges in study design and data interpretation. We propose standardized methodological approaches for future investigations and outline translational strategies for personalized microbiota modulation. These insights advance the potential for targeted microbial interventions to optimize metabolic and immune health outcomes.

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Gene regulation, phenotypic memory, and selection in fluctuating environments | Brvm

Gene regulation, phenotypic memory, and selection in fluctuating environments | Brvm | RMH | Scoop.it

Gene regulatory networks enable bacteria to sense and respond in fluctuating environments and to control gene expression levels in constant conditions. Despite substantial advances in understanding their molecular biology, the evolutionary conditions that select for and maintain gene regulatory networks have remained elusive. Here, we investigate the evolutionary costs and benefits of gene regulation under metabolic fluctuations, and identify distinct fluctuating environments that select for or against gene regulation. Using barcode sequencing to track strain frequencies over time, we compete strains with perturbed expression dynamics to assess the strength of selection on gene expression levels. We reveal that expression levels can be shaped to enhance phenotypic memory of past environmental states, reducing the impact of lag phases on long-term population growth. By independently perturbing the ability to sense the environment and the control of expression levels, we discover sign epistasis between sensing and control in a gene regulatory network, and identify its molecular underpinnings. Due to this epistatic interaction, maintenance of sensing in gene regulation enhances the ability of evolution to tune gene expression in a fluctuating environment. Our work establishes a new basis for understanding how gene regulatory networks evolve in fluctuating environments.

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From stool to sequence: decoding the human diet with FoodSeq | mSys

From stool to sequence: decoding the human diet with FoodSeq | mSys | RMH | Scoop.it
Diet plays a pivotal role in human health and disease. Yet, nutrition studies have long relied on self-report methods for collecting dietary intake data despite known limitations. Although new technologies for dietary intake assessment and biomarker identification are in development, the integration of genomics has been limited. DNA metabarcoding, a method that identifies many taxa at once using a short region of DNA, has recently been adapted for use in stool samples from free-living humans. This process, called FoodSeq, provides an objective way to determine the foods people eat. FoodSeq has numerous advantages over self-report methods, is a necessary complement to other methodological innovations in dietary intake assessment, and holds considerable promise for application on an epidemiologic scale, enabling more robust analysis of global dietary patterns.
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A biocompatible Lossen rearrangement in Escherichia coli | Nchem

A biocompatible Lossen rearrangement in Escherichia coli | Nchem | RMH | Scoop.it

Nature has evolved an exquisite yet limited set of chemical reactions that underpin the function of all living organisms. By contrast, the field of synthetic organic chemistry can access reactivity not observed in nature, and integration of these abiotic reactions within living systems offers an elegant solution to the sustainable synthesis of many industrial chemicals from renewable feedstocks. Here we report a biocompatible Lossen rearrangement that is catalysed by phosphate in the bacterium Escherichia coli for the transformation of activated acyl hydroxamates to primary amine-containing metabolites in living cells. Through auxotroph rescue, we demonstrate how this new-to-nature reaction can be used to control microbial growth and chemistry by generating the essential metabolite para-aminobenzoic acid. The Lossen rearrangement substrate can also be synthesized from polyethylene terephthalate and applied to whole-cell biocatalytic reactions and fermentations generating industrial small molecules (including the drug paracetamol), paving the way for a general strategy to bioremediate and upcycle plastic waste in native and engineered biological systems. Biocompatible chemistry merges chemo-catalytic reactions with cellular metabolism for sustainable small-molecule synthesis. Now a biocompatible Lossen rearrangement has been demonstrated to control bacterial cell growth and chemistry and applied to the remediation and upcycling of polyethylene terephthalate plastic waste in whole-cell reactions and fermentations to produce valuable industrial chemicals, including the drug paracetamol.

?'s insight:

pet plastic to tylenol, demonstrated through the conditional biotransformation of exogenous alkenes and of PET-derived para-aminobenzoate (PABA) to the analgesic and antipyretic drug paracetamol (para-hydroxyacetanilide)

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Remote sensing of endogenous pigmentation by inducible synthetic circuits in grasses | Brvp

Remote sensing of endogenous pigmentation by inducible synthetic circuits in grasses | Brvp | RMH | Scoop.it

Plant synthetic biology holds great promise for engineering plants to meet future demands. Genetic circuits are being designed, built, and tested in plants to demonstrate proof of concept. However, developing these components in monocots, which the world relies on for grain, lags behind dicot models, such as Arabidopsis thaliana and Nicotiana benthamiana. Here, we show the successful adaptation of a ligand-inducible sensor to activate an endogenous anthocyanin pathway in the C4 monocot model Setaria viridis. We identify two transcription factors sufficient to induce endogenous anthocyanin production in S. viridis protoplasts and whole plants in a constitutive or ligand-inducible manner. We also test multiple ligands to overcome physical barriers to ligand uptake, identifying triamcinolone acetonide (TA) as a highly potent inducer of this system. Using hyperspectral imaging and a discriminative target characterization method in a near-remote configuration, we can non-destructively detect anthocyanin production in leaves in response to ligands. This work demonstrates the use of inducible expression systems in monocots to manipulate endogenous pathways, stimulating plants to overproduce secondary metabolites with value to human health. Applying inducible pigmentation coupled with sensitive detection algorithms could enable crop plants to report on the status of field contamination or detect undesirable chemicals impacting agriculture, ushering in an era of agriculture-based sensor systems.

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2st

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Acid-resistant Bacillus velezensis effectively controls pathogenic Colletotrichum capsici and improves plant health through metabolic interactions | aem

Acid-resistant Bacillus velezensis effectively controls pathogenic Colletotrichum capsici and improves plant health through metabolic interactions | aem | RMH | Scoop.it
Colletotrichum capsici is the etiological agent of Capsicum anthracnose. Bacillus velezensis has traditionally been recognized as an effective biocontrol agent; however, its efficacy decreases due to soil acidification. In this study, we domesticated Bacillus velezensis XY40-1 along an acid resistance gradient, resulting in a strain capable of growth at pH 4, and might adapt to acidic environments by regulating genes related to spore formation. Notably, the domesticated Bacillus velezensis XY40-1 exhibits significant antagonistic activity against Colletotrichum capsici in acidic dual cultures and effectively reduces the disease index in Capsicum. The domesticated strain employs a direct antifungal strategy under acidic conditions, with the production of amylocyclicin, regulated by acnA, potentially serving as a primary mechanism through which Bacillus velezensis combats Colletotrichum capsici. Conversely, under neutral conditions, domesticated Bacillus velezensis focuses on bolstering its defense mechanisms by increasing the expression of katAahpF, and ahpC genes to detoxify peroxides. In addition, a dual RNA-Seq analysis comprehensively investigated the acid tolerance mechanisms and defensive responses of B. velezensis and the pathogenic mechanisms of C. capsici, providing a foundation for the practical application of B. velezensis as a biocontrol agent. These findings offer important insights into the impact of soil acidification on plant disease suppression and contribute to the development of sustainable agricultural practices.
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What makes a small RNA work? | nar

What makes a small RNA work? | nar | RMH | Scoop.it

Bacterial small RNAs (sRNA) are key regulators of gene expression, interacting with target messenger RNAs (mRNAs) through imperfect base pairing. Unlike other non-coding RNAs such as microRNAs and PIWI-interacting RNAs, bacterial sRNAs exhibit significant sequence and structural diversity, complicating functional predictions. Recent high-throughput profiling of the sRNA interactome has accentuated this problem by revealing a highly complex network of sRNA interactions. It is clear that there is an incredible diversity of sRNA interactions with different RNA classes in vivo, including different interaction modes with mRNAs. In this review, we attempt to summarize the known sequence and structural features that contribute to sRNA function in bacteria. As many of these features drive recruitment of protein partners, we necessarily focus on interactions with chaperones and ribonucleases, the best studied being Hfq and RNase E. Where possible, we have included examples outside this well-studied system as diversity and rule breaking appear to be central themes of sRNA biology. Understanding the sequences and structures that drive sRNA function will enhance our ability to predict regulatory outcomes, and this may inform the development of effective RNA therapeutics that are inspired by bacterial sRNA mechanisms.

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UniClo: scarless hierarchical DNA assembly without sequence constraint | nar

UniClo: scarless hierarchical DNA assembly without sequence constraint | nar | RMH | Scoop.it

Type IIS restriction enzyme-mediated DNA assembly is efficient but has sequence constraints and can result in unwanted sequence scars. To overcome these drawbacks, we developed UniClo, a type IIS restriction enzyme-mediated method for universal and flexible DNA assembly. This is achieved through a combination of vector engineering, DNA methylation using recombinant methylases, and steric blockade using CRISPR–dCas9 technology to regulate this methylation. Type IIS restriction enzyme sites within fragments to be assembled are methylated using recombinant methylases, while the fragment-flanking outer sites are protected from methylation by a recombinant dCas9–sgRNA complex. During the subsequent assembly reaction, only the protected flanking sites are cut as only they are unmethylated. Fragments are correctly assembled, despite containing internal sites for the single type IIS restriction enzyme used for the one-pot assembly. The assembled plasmid can be used as a donor plasmid in a subsequent assembly round with the same type IIS restriction enzyme and the assembly vector engineering ensures removal of potential scars by a trimming process. This simplifies assembly design and only three vectors are required for any multi-round assembly. These vectors all use the same pair of overhangs. UniClo provides a simple scarless approach for hierarchical assembly of any sequence and has wide potential application.

?'s insight:

goldengate cloning,  the assembled fragments will be inserted must not contain internal sites for the type IIS restriction enzymes being used in the assembly process. 

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CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy | eLife

CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy | eLife | RMH | Scoop.it

Understanding the complex three-dimensional structure of cells is crucial across many disciplines in biology and especially in neuroscience. Here, we introduce a set of models including a 3D transformer (SwinUNetR) and a novel 3D self-supervised learning method (WNet3D) designed to address the inherent complexity of generating 3D ground truth data and quantifying nuclei in 3D volumes. We developed a Python package called CellSeg3D that provides access to these models in Jupyter Notebooks and in a napari GUI plugin. Recognizing the scarcity of high-quality 3D ground truth data, we created a fully human-annotated mesoSPIM dataset to advance evaluation and benchmarking in the field. To assess model performance, we benchmarked our approach across four diverse datasets: the newly developed mesoSPIM dataset, a 3D platynereis-ISH-Nuclei confocal dataset, a separate 3D Platynereis-Nuclei light-sheet dataset, and a challenging and densely packed Mouse-Skull-Nuclei confocal dataset. We demonstrate that our self-supervised model, WNet3D – trained without any ground truth labels – achieves performance on par with state-of-the-art supervised methods, paving the way for broader applications in label-scarce biological contexts.

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SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci | Pmet

SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci | Pmet | RMH | Scoop.it

Transgenic plants are essential for both basic and applied plant biology. Recently, fluorescent and colorimetric markers were developed to enable nondestructive identification of transformed seeds and accelerate the generation of transgenic plant lines. Yet, transformation often results in the integration of multiple copies of transgenes in the plant genome. Multiple transgene copies can lead to transgene silencing and complicate the analysis of transgenic plants by requiring researcher to track multiple T-DNA loci in future generations. Thus, to simplify analysis of transgenic lines, plant researchers typically screen transformed plants for lines where the T-DNA inserted in a single locus — an analysis that involves laborious manual counting of fluorescent and non-fluorescent seeds for screenable markers.  To expedite T-DNA segregation analysis, we developed SeedSeg, an image analysis tool that uses a segmentation algorithm to count the number of transformed and wild-type seeds in an image. SeedSeg runs a chi-squared test to determine the number of T-DNA loci. Parameters can be adjusted to optimize for different brightness intensities and seed sizes. By automating the seed counting process, SeedSeg reduces the manual labor associated with identifying transgenic lines containing a single T-DNA locus. SeedSeg is adaptable to different seed sizes and visual transgene markers, making it a versatile tool for accelerating plant research.

?'s insight:

imaging program

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Soil properties in agricultural systems affect microbial genomic traits | fems

Soil properties in agricultural systems affect microbial genomic traits | fems | RMH | Scoop.it

Understanding the relationships between bacteria, their ecological and genomic traits, and their environment, is important to elucidate microbial community dynamics and their roles in ecosystem functioning. Here, we examined the relationships between soil properties and bacterial traits within highly managed agricultural soil systems subjected to arable crop rotations or management as permanent grass. We assessed the bacterial communities using metabarcoding and assigned each amplicon trait scores for rRNA copy number, genome size, and GC content, which are classically associated with potential growth rates and specialisation. We also calculated the niche breadth trait of each amplicon as a measure of social ubiquity within the examined samples. Within this soil system, we demonstrated that pH was the primary driver of bacterial traits. The weighted mean trait scores of the samples revealed that bacterial communities associated with soils at lower pH (<7) tended to have larger genomes (potential plasticity), have more rRNA (higher growth rate potential), and are more ubiquitous (have less niche specialisation) than the bacterial communities from higher pH soils. Our findings highlight not only the association between pH and bacterial community composition but also the importance of pH in driving community functionality by directly influencing genomic and niche traits.

?'s insight:

the microbial traits: rRNA copies (growth rate potential), genome size (metabolic versatility) and niche breadth (ubiquity)

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Establishing Vibrio natriegens as a high-performance host for acetate-based poly-3-hydroxybutyrate production | Brvme

Establishing Vibrio natriegens as a high-performance host for acetate-based poly-3-hydroxybutyrate production | Brvme | RMH | Scoop.it

Acetate can be a sustainable and renewable carbon source which holds significant promise for biotechnological production but is underutilized industrially due to limited microbial efficiency. Vibrio natriegens, recognized for exceptionally fast growth rates, represents a compelling host for developing efficient acetate-based bioprocesses. In this study, adaptive laboratory evolution significantly enhanced V. natriegens′ ability to grow on acetate as the sole carbon source, achieving an 89% increase in growth rate. Genetic and transcriptomic analyses revealed key adaptations improving acetate uptake and metabolism via increased salt tolerance, boosted Pta/AckA pathway activity, and rewired quorum sensing. Further metabolic engineering and bioprocess optimization enabled the evolved strain to reach high cell densities and efficiently convert acetate into the bioplastic poly-3-hydroxybutyrate (PHB), with productivities up to 0.27 g/L/h and PHB accumulation reaching 45.66% of cell biomass. These advances position V. natriegens as a highly promising microbial platform for sustainable, scalable, and cost-effective biomanufacturing using acetate as green feedstock.

?'s insight:

PHB granules were visualized and quantified using BODIPY 493/503, a fluorescent dye that selectively stains hydrophobic lipid inclusions such as PHB. Fluorescence intensity per cell was measured via flow cytometry and correlated with PHB levels determined by HPLC (crotonic acid assay), confirming a linear relationship between BODIPY signal and PHB content per cell dry

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Genetically encoded betalain-based RUBY visual reporters: noninvasive monitoring of biological processes | Tin

Genetically encoded betalain-based RUBY visual reporters: noninvasive monitoring of biological processes | Tin | RMH | Scoop.it
Genetically encoded enzymatic and fluorescence-based reporters have become powerful tools to monitor and visualize diverse cellular processes. Despite their vast utility, some of these reporters require invasive analysis, while others need costly equipment and/or exogenous substrates. Recently, a new class of visual reporters have been developed based on the synthesis of betalains, which are either red or yellow pigments that produce outputs visible to the naked eye without the need for exogenous substrates. Since 2020, the betalain-based RUBY reporter has been used to visually track various cellular processes. Here, we explore the applications of RUBY in basic research and agriculture, discuss its limitations, and highlight its potential as an educational tool for teaching fundamental concepts in cell and molecular biology.
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A Straightforward and Robust Enzymatic Reporter System for Anaerobic Thermophiles | Brvt

A Straightforward and Robust Enzymatic Reporter System for Anaerobic Thermophiles | Brvt | RMH | Scoop.it

Thermophilic anaerobic organisms, particularly species that can naturally degrade lignocellulosic biomass, show great promise for next generation bioprocessing. This has led to the development of nascent genetic systems to metabolically engineer these non-model organisms. However, a major challenge remains a lack of reliable reporter systems compatible with the combination of thermophilic and anaerobic growth conditions. Additionally, native glycoside hydrolases in these organisms limit the usefulness of traditional glycosidic enzyme reporters (e.g. LacZ) because of the native background activity present on para-nitrophenyl glucoside substrates. Here we describe the development of a straightforward and robust enzymatic reporter system that overcomes these challenges in Anaerocellum (f. Caldicellulosiruptor) bescii, an anaerobic, extremely thermophilic (Topt ~78 °C), lignocellulolytic bacterium. Our method is based on heterologous expression of hyperthermophilic archaeal galactosidases: an α-galactosidase from Pyroccous furiosus (Pfαgal), and a β-galactosidase from Caldivirga maquilingensis (Cmβgal). We show that these reporters produce strong, orthogonal signals on colorimetric substrates at high temperatures (≥90 °C) that eliminate background activity from endogenous galactosidases. We then demonstrate the capability of Cmβgal, the stronger of the two reporters, to distinguish differences in levels of expression between A. bescii promoter sequences, which we verify through qRT-PCR. With its high signal to noise ratio and ease of use, this reporter system offers a reliable method for assessing protein expression in anaerobic thermophilic organisms, opening doors to improved genetic tools and metabolic engineering applications for industrial biotechnology.

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Microbial diagnostic features identified across populations possess potential antitumor properties in breast cancer | mSys

The consistency of the associations between the breast microbiome and breast cancer (BC) across various studies remains uncertain. Publicly accessible data sets from five BC studies, comprising 16S rRNA gene sequencing data from 161 BC tissues (BC_tissue), 195 BC adjacent non-cancerous tissues (BC_adjacent), and 451 normal breast tissues (normal_tissue), were retrieved from the European Nucleotide Archive. Overall, the microbial composition across the three breast tissue statuses was predominantly characterized by the phyla Proteobacteria and Firmicutes, a distribution likely attributable to the fatty acid-rich environment of the breast tissue. Comparative analysis revealed that the relative abundances of the genera Cutibacterium and Burkholderia were significantly increased in both BC_adjacent and normal_tissue compared to BC_tissue. This observation suggested a potential anticancer effect associated with these genera. Our analysis revealed a significant reduction in the abundance of Cutibacterium and Cutibacterium acnes in BC tissues, which served as specific diagnostic features for BC. This finding was corroborated by our in-house data set (n = 28), which yielded similar conclusions. Subsequent in vitro and in vivo experiments verified the potential anti-tumor effects of C. acnes supernatant in BC. In conclusion, our study highlighted the predictive capacity of microbial biomarkers in the onset of BC. Notably, specific bacterial species within the breast microbiome, such as Cutibacterium and C. acnes, exhibited potential as diagnostic markers for BC and may contribute significantly to antitumor activity. Nevertheless, the molecular mechanisms governing their interactions with cancer cells are not yet fully understood, necessitating further research to investigate their viability as targets for tumor prevention.
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Engineered Marine Biofilms for Ocean Environment Monitoring | asb

Engineered Marine Biofilms for Ocean Environment Monitoring | asb | RMH | Scoop.it

Marine bacteria offer a promising alternative for developing Engineered Living Materials (ELMs) tailored to marine applications. We engineered Dinoroseobacter shibae to increase its surface-associated growth and develop biosensors for ocean environment monitoring. By fusing the endogenous extracellular matrix amyloidogenic protein CsgA with mussel foot proteins, we significantly increased D. shibae biofilm formation. Additionally, D. shibae was engineered to express the tyrosinase enzyme to further enhance microbial attachment through post-translational modifications of tyrosine residues. By exploiting D. shibae‘s natural genetic resources, two environmental biosensors were created to detect temperature and oxygen. These biosensors were coupled with a CRISPR-based recording system to store transient gene expression in stable DNA arrays, enabling long-term environmental monitoring. These engineered strains highlight D. shibae‘s potential in advancing marine microbiome engineering for innovative biofilm applications, including the development of natural, self-renewing biological adhesives, environmental sensors, and “sentinel” cells equipped with CRISPR-recording technology to capture and store environmental signals.

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2st

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Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis | msp

Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis | msp | RMH | Scoop.it
Flow cytometry is a powerful tool to monitor microbial communities, as it allows tracking both changes in the subpopulations and cell numbers at high throughput and a low sample cost. This information can be combined in a phenotypic fingerprint that can be leveraged for diversity analysis. However, as isogenic individuals can manifest phenotypic diversity, for example, due to differing physiological state and phenotypic plasticity, combining the phenotypic information with taxonomic information adds an extra dimension for describing the dynamics of a microbial community. In this research, taxonomic information was incorporated in the microbial fingerprint through fluorescent in situ hybridization (FISH) at a single-cell level. To validate this concept and explore its versatility, two ecosystems with different micro-biodiversity were considered. In the first environment, marine bacteria were monitored for plastic biodegradation in a trickling filter, and in the second, an in vitro simulated human gut microbiome was followed over time. Samples were prepared using different (staining) methods, including FISH, and beta diversity analysis was used to evaluate the level of distinction between differently treated groups in both environments. As a reference to correlate increased distinction with the incorporation of taxonomic information, 16S rRNA gene sequencing was used. Finally, a predictive algorithm was trained to correctly classify samples in the differently treated groups. The results showed that the implementation of FISH in flow cytometry provides more information on a single-cell level to answer specific scientific questions, like distinguishing between phenotypically similar communities or following a specific taxonomic group over time.
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1str, methods, flow cytometric fingerprinting could be improved: (i) non-fixed samples stained with Sybr Green (SG), (ii) paraformaldehyde (PFA) fixed samples stained with SG, (iii) fixed samples stained with 4′,6-diamidino-2-phenylindole (DAPI), and (iv) fixed FISH samples counterstained with DAPI. Diversity analyses of these were compared with the diversity analysis of the 16S rRNA gene amplicon sequencing samples.

(1) (environmental) mixed-culture samples (2). Screening the overall taxonomic structure of the samples based on literature (3), followed by a selection of probes covering the most important taxa (4), performing FISH and flow cytometry measurements, after which (5) packages such as Phenoflow (4) and PhenoGMM

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Guidelines for preventing and reporting contamination in low-biomass microbiome studies | Nmb

Guidelines for preventing and reporting contamination in low-biomass microbiome studies | Nmb | RMH | Scoop.it

Numerous important environments harbor low levels of microbial biomass, including certain human tissues, the atmosphere, plant seeds, treated drinking water, hyper-arid soils and the deep subsurface, with some environments lacking resident microbes altogether. These low microbial biomass environments pose unique challenges for standard DNA-based sequencing approaches, as the inevitability of contamination from external sources becomes a critical concern when working near the limits of detection. Likewise, lower-biomass samples can be disproportionately impacted by cross-contamination and practices suitable for handling higher-biomass samples may produce misleading results when applied to lower microbial biomass samples. This Consensus Statement outlines strategies to reduce contamination and cross-contamination, focusing on marker gene and metagenomic analyses. We also provide minimal standards for reporting contamination information and removal workflows. Considerations must be made at every study stage, from sample collection and handling through data analysis and reporting to reduce and identify contaminants. We urge researchers to adopt these recommendations when designing, implementing and reporting microbiome studies, especially those conducted in low-biomass systems. In this Consensus Statement, the authors outline strategies for processing, analysing and interpreting low-biomass microbiome samples, and provide recommendations to minimize contaminants.

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greening c, fierer n

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In vitro programmable DNA cleavage by a eukaryotic Argonaute | nar

In vitro programmable DNA cleavage by a eukaryotic Argonaute | nar | RMH | Scoop.it

Eukaryotic Argonautes (eAgos) have traditionally been characterized by their ability to utilize RNA guides to identify RNA targets, thereby engaging in post-transcriptional gene silencing pathways. While some eAgos have been demonstrated to use DNA guides for RNA cleavage, the ability of eAgos to cleave DNA targets remains unclear. In this study, we characterized CsAgo, an eAgo protein derived from thermophilic eukaryote Chaetomiumsp. MPI-CAGE-AT-0009, demonstrating a novel ability to cleave both DNA and RNA targets in vitro. Guided by short single-stranded DNA (ssDNA) or RNA, CsAgo exhibits robust RNA cleavage activity at 20–90°C in vitro. CsAgo can effectively cleave ssDNA guided by RNA guides at 20–50°C in vitro. Notably, CsAgo can utilize DNA guides to effectively cleave ssDNA, plasmid double-stranded DNA (dsDNA), and linear dsDNA at ≥80°C in vitro. Based on its ability to cleave dsDNA at high temperatures, CsAgo demonstrates versatility and efficacy in simplifying routine cloning workflows. Additionally, we have developed a CsAgo-based nucleic acid detection method based on a Pyrococcus furiosus Ago-mediated nucleic acid detection method, which exhibits a high sensitivity of six copies/reaction. These results suggest that eAgos include that, in theory, can be utilized for potential DNA-targeting applications. This not only enhances our understanding of eAgos but also expands the toolkit for DNA manipulation.

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detect microbe: CsAgo cleaved the target DNA with the guidance of the input gDNA, producing a short 5′P-ssDNA. This ssDNA then bound to the apo form of CsAgo molecules, acting as the gDNA (gN) for the subsequent round of site-specific cleavage toward complementary molecular beacons. This process resulted in the separation of the quencher from the fluorophore.

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A four-in-one replicase integrating key enzymatic activities for DNA replication | nar

A four-in-one replicase integrating key enzymatic activities for DNA replication | nar | RMH | Scoop.it

DNA replication is a fundamental process in all living organisms. As the most diverse and abundant biological entities on Earth, bacteriophages may utilize unconventional methods for genome replication. In this study, we identified a novel DNA replicase, GP55, from lactococcal phage 1706. GP55 comprises a helicase domain, a distinctive archaeo-eukaryotic primase domain, and a family B DNA polymerase domain, collectively exhibiting helicase, primase, and DNA polymerase activities, along with intrinsic 3′–5′ exonuclease activity. Notably, the helicase activity of GP55 is UTP/dTTP-dependent rather than ATP-dependent and facilitates strand displacement during DNA synthesis. GP55 exhibits a unique primase activity, recognizing specific but less stringent DNA sequences and preferring GTP for the initiation of RNA primer synthesis. Additionally, a newly identified α-helix domain, composed of two pairs of parallel α-helices, was found to be essential for its primase activity. The multiple activities enable GP55 to efficiently synthesize DNA de novo in the presence of dNTPs and NTPs. This study reveals a concise strategy employed by bacteriophages for genome replication using multifunctional replicases.

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DNA polymerases generally lack the ability to synthesize DNA de novo [1]. They rely on primases to generate short RNA primers [1]. GP55 possesses primase activity, capable of synthesizing oligonucleotide primers

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