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Saito, K.

Publications and source records attributed to Saito, K..

At least 37 records · Page 2Linked to original sources

Astrocytes in white matter respond to tensile cues during cortical folding: a numerical study

Our understanding of the process of formation of gyri (ridges) and sulci (furrows) in the cerebrum during development is moving beyond the role of neurons. Glial cells such as astrocytes, which are the most common cell type in the brain, are especially prominent under the gyri and have been shown to be essential for gyrification in ferrets. Their dysfunction has been linked to a host of neurodevelopmental diseases and disorders in humans, leading to abnormal folding patterns, hence, it is crucial to understand their role in the mechanics of folding. In this work, we propose two hypotheses of how astrocytes affect cortical folding. Our previous study demonstrated that astrocytes proliferate in the white matter (subcortex), and that inhibiting this process impairs gyrification. This leads to the pushing hypothesis, where astrocytes push up the cortex outwards, leading to formation of folds. On the other hand, ex vivo studies demonstrate areas of the cortex and subcortex that experience tension, due to the differential growth between materials in the brain tissue. This leads to the pulling hypothesis, where astrocytes experience tension from the surrounding tissue, leading to their proliferation, distribution of tensile stresses, and initiation of growth in those regions. Using the theory of finite growth, we implement these hypotheses via morphogenetic growth (pushing) and stress-driven (pulling) growth criteria. We find that morphological trends during development between the pushing and pulling effects are not dissimilar, with a comparable gyrification index. The stress distributions from both models also show common features, but the pulling effect shows tension in the subcortex, which matches trends observed in experiments. Therefore, it is more likely that the astrocytes affect gyrification by proliferating as a response to tensile cues and decrease the tension they experience, leading to deeper folds, rather than astrocytes independently proliferating under a gyri and then pushing the cortex up.

bioengineering↗

Allosteric Disordering of eIF2B Regulates the Integrated Stress Response

The ternary complex (TC), composed of translation initiation factor eIF2, GTP, and initiator methionyl tRNA, delivers the first amino acid to the ribosome to initiate protein synthesis. The activity of the decameric eukaryotic initiation factor 2B complex (eIF2B) initiates TC assembly by catalyzing GDP to GTP exchange on eIF2, thereby setting the TC levels in the cell. Stress-induced phosphorylation converts eIF2 from the substrate of the GDP/GTP exchange reaction into an inhibitor (eIF2-P) of eIF2B. This conversion reduces the cells TC levels and induces the widespread reprogramming of translation known as the Integrated Stress Response (ISR). Here, we chart an allosteric axis running through eIF2B, revealing the importance of a protrusive -helix in its {beta}-subunit, the latch-helix, that locks onto the -subunit to induce eIF2B activity. eIF2-P binding unhooks the latch-helix, opening eIF2B, which inhibits its GDP/GTP exchange activity. Distinct viral proteins have convergently evolved to bind to eIF2B and stabilize the latch-helix-bound active state. Using these insights, we generated ISR-ACTivating compounds, ISRACTs, that stabilize eIF2B in its inhibited, unlatched state. Our study thus highlights how state-transitions in eIF2B are regulated via long-range allostery.

biochemistry↗

Phosphorylation-Coupled Autoregulation Maintains Functional ER Exit Sites

Secretory proteins are synthesized in the endoplasmic reticulum (ER) and begin their transport from specialized domains on the ER called ER exit sites (ERES). We previously demonstrated that the interaction between TANGO1 and Sec16 is critical for ERES formation. In this study, we reveal that the phosphorylation of TANGO1 and Sec16 is regulated by a FAM83A/CK1-mediated negative feedback loop. Conversely, their dephosphorylation is regulated in a spatially distinct manner by different phosphatase complexes: PPP6R3/PPP6C for Sec16 and PPP1R15B/PPP1C for TANGO1. Excessive phosphorylation of either TANGO1 or Sec16 leads to ERES disassembly, while excessive dephosphorylation impairs secretion. Our findings demonstrate that maintaining a balanced phosphorylation state of TANGO1 and Sec16 through autoregulation by FAM83A/CK1 and the phosphatases PP1 and PP6 is essential for sustaining proper secretory activity at the ERES.

cell biology↗

Tracing genome size dynamics in sharks and rays with inclusive sequence analysis by the Squalomix Consortium

Genomes have maintained stable sets of protein-coding genes during evolution, while chromosome organization and genome size vary drastically. Changes in genome size are often attributed to variable amounts of repetitive sequences, including transposable elements. However, it remains poorly understood how such changes were accommodated while maintaining other genomic components. Elasmobranchs, including sharks, rays, and skates, exhibit high among-species variation of genome size and high within-species variation of chromosome length, offering a unique study system to address the question. In this study, we present the first whole genome sequences of the whitebelly skate with remarkably small genome size among elasmobranchs (2.2 Gb), and the red stingray. These chromosome-scale assemblies enabled the assessment of genomic compositions including centromeres and non-coding elements, which revealed notable profiles of tRNA loci and unbiased intragenomic distribution of transposons in elasmobranch genomes. Comparative analyses across these species revealed a shared genomic architecture characterized by correlations of intergenic and intronic sequence lengths with chromosome sizes, with repetitive element accumulation in elongated regions. We analyzed tandemly duplicated genes with high copy number variability. This genome-wide survey revealed the tendency for more frequent tandem gene duplications along with genome size expansion. We document the batoid HoxC cluster in the red stingray genome, which has undergone extensive repetitive element invasion and co-localizes with the HoxB cluster on a sex chromosome. Our study demonstrates an inclusive analysis encompassing both coding and non-coding regions, adaptable to more species in the taxon and a basis for molecular-level understanding on phenotypic diversity of elasmobranchs.

genomics↗

Desiccation-induced DNA damage facilitates drug resistance in Mycobacterium tuberculosis

Mycobacterium tuberculosis (Mtb) is an obligate human pathogen that depends on its ability to spread from host-to-host to survive as a species. Yet, knowledge of transmission-specific traits remains lacking. Here, we report the discovery of a specific adaptive response to desiccation, a stress intrinsically linked to the generation of the aerosol droplets within which Mtb transmits. We show that desiccation inflicts oxidative damage and activates Mtbs DNA repair responses but that this repair is imperfect and results in mutations. We further show that activation of these DNA repair responses is accompanied by increased expression of the transcription-coupled repair factor, mfd, but that this expression serves to buffer the fitness cost of specific resistance-conferring mutations in rpoB, the target of the frontline drug rifampin, rather than to facilitate transcription-coupled DNA repair. Silencing mfd during aerosolization impairs survival of strains harboring the rifampin resistance allele S450L. This function is further supported by whole genome sequence data from over 50,000 clinically circulating strains. These studies indicate that Mtb has evolved transmission-specific stress responses that have enabled it to leverage desiccation-induced DNA damage as a potential source of genetic diversification and drug resistance.

microbiology↗

Exploring the immune environment of glioblastoma through single-cell RNA sequencing in humanized mouse models

BackgroundGlioblastoma (GBM) is the deadliest primary brain tumor in adults, where current therapies fail to meaningfully extend survival. Available animal GBM tumor models, especially therapy-resistant and recurrent ones with unique immunological aspects, are restricted, impeding innovative treatment research. To confront this critical obstacle we established a unique GBM mouse model that utilizes patient-derived xenografts (PDXs) within humanized mice. MethodsWe selected two immune-deficient mouse models to facilitate the reconstitution of myeloid lineage cells. After undergoing myeloablation, mice received CD34+ hematopoietic stem progenitor cells derived from human umbilical cord blood for humanization. Upon confirming the reconstitution of human blood cells, mice were xenografted with PDXs resistant to radiation. Tumor profiles and immune cell infiltration were analyzed via flow cytometry, immunohistochemistry, and single-cell RNA sequencing (scRNA-seq). The findings were evaluated against scRNA-seq data from recurrent human GBM. ResultsA diverse range of human immune cells, including T, NK, and myeloid lineage cells, infiltrated PDX tumors in humanized mice. Notably, gene expression profiles in these immune cells resembled that of recurrent human GBM. Unlike conventional xenograft models, this model highlighted enhanced tumor diversity, particularly a high fraction of neural progenitor-like cells. ConclusionsOur humanized GBM mouse model displayed an immune cell signature similar to recurrent GBM. This model is a valuable resource for analyzing the tumor immune landscape and assessing new therapies, particularly immunotherapies. By enabling effective evaluation of novel treatments, our model has the potential to significantly advance GBM research. Key PointsO_LIA wide array of human immune cells infiltrates GBM-PDX tumors in humanized mice. C_LIO_LIThe tumor heterogeneity of GBM-PDX is more evident in humanized mouse xenografts. C_LI Importance of the studyCurrent GBM treatment development is primarily constrained by the absence of appropriate animal models that can enhance our understanding of human GBM biology and its immune dynamics. We created a specialized GBM mouse model using humanized mice with patient-derived xenografts resistant to radiation. Detailed immune cell analysis showed various human blood cells in the GBM-PDX derived from humanized mice. Single-cell RNA sequencing uncovered crucial T-cell subgroups, notably regulatory and exhausted T cells, which matched those observed in recurrent GBM patient tumors. Moreover, the model outperformed standard xenograft approaches in tumor heterogeneity, resembling the intricate diversity observed in recurrent GBM samples. Our humanized GBM mouse model provides a powerful platform to study the interactions between human tumors and immune cells. This tool will facilitate the discovery of immunosuppressive mechanisms and accelerate the assessment of immunotherapies applicable to various brain tumors.

immunology↗

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimers Disease

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and intracellular hyperphosphorylated tau pathology is associated with distinctive (and possibly disease-driving) microglial heterogeneity. However, our understanding of how proximity to these Alzheimers disease (AD) pathological hallmarks in situ relates to microglial gene expression remains obscure. Here, we utilized high-resolution spatial transcriptomics (ST) via the Xenium platform with a fully customized gene panel to elucidate disease-associated microglial subtypes in tandem with examining metabolic signatures across AD-relevant mouse models and well-characterized human postmortem tissue. Three mouse models were evaluated: PS19, APP/PS1, and 5xFAD. Analyzing anatomical features across entire hemisections, our approach resolved the distribution of five disease-associated microglial subtypes, while deciphering how proximity to cerebral amyloid plaques influenced transcriptional mediators governing metabolic pathways. We observed robust alterations in glycolytic and cholesterol/lipid processing pathways in plaque-associated microglia, consistent with a specific switch to glycolysis and lipid-fueled metabolism in the plaque niche. Extending our analysis to human postmortem dorsolateral prefrontal cortex (dlPFC), we identified conserved disease-reactive microglial states, i.e., similar proximity-dependent metabolic shifts around amyloid plaques. Further, integrating spatial transcriptomics with machine-learning approaches revealed novel anatomic domain-specific cellular gene expression profiling features, highlighting differential vulnerabilities of neuronal, glial, and vascular populations near specific microglial subtypes. Together, our findings provide one of the first comprehensive and high-resolution atlas of microglial immunometabolic states across species, anatomical regions, and AD pathological burden.

neuroscience↗

Neuropeptide signalling and perineurial barrier generate a persistent stress-induced internal state in Drosophila

Although fear conditioning has elucidated cue-evoked acute fear responses, the mechanisms by which stress experiences induce generalized internal states linked to anxiety are poorly understood. Here, we report that robust stress induces a persistent behavioral change characterized by avoidance of a confined space, claustrophobia-like behavior in Drosophila. Unlike aversive memory formation, the development of claustrophobia-like behavior does not require dopamine receptors. Our neuronal screening determined that neuropeptide signalling via Allatostatin-A inactivates the downstream neurons via its receptor AstA-R1, causally inducing claustrophobia-like behavior. Moreover, gene expression profiling of individual fly heads revealed that immune response activation in perineurial barrier is involved in claustrophobia-like behavior. Our data demonstrate that stress-induced persistent behavioral change would not be related to a canonical mechanism of aversive memory formation, rather involves neuropeptidergic signalling and perineurial barrier, providing the mechanism determining internal states which persistently change behavioral modes.

neuroscience↗

NT5DC2 downregulation suppresses monoamine oxidase activity and increases catecholamine levels in PC12D cells

Back groundGenome-wide association studies have revealed the involvement of 5-nucleotidase domain-containing protein 2 (NT5DC2) in neuropsychiatric disorders such as schizophrenia and bipolar disorder; however, its function remains unclear. Recently, we found that NT5DC2 downregulation in PC12D cells increases catecholamine synthesis by promoting the activity of tyrosine hydroxylase and that monoamine oxidase A (MAO A) might bind to NT5DC2 using Affinity Purification-Mass Spectroscopy. Methods and ResultsWe investigated the role of NT5DC2 for MAO A activity in PC12D cells. Western blot analysis revealed that NT5DC2 primarily binds to the non-phosphorylated form of MAO A. siRNA-mediated NT5DC2 downregulation reduced MAO A activity, leading to decreased dopamine metabolism and increased noradrenaline synthesis. ConclusionOur findings suggest that NT5DC2 could affect both tyrosine hydroxylase and MAO A activity to control catecholamine synthesis. Therefore, our study provides valuable insights into disorders associated with catecholamine dysregulation, such as Parkinsons disease and neuropsychiatric disorders.

neuroscience↗

Repressive S-adenosylmethionine biosynthesis status inhibits transcription of HeT-A retrotransposon in the germline of Drosophila.

S-adenosylmethionine (SAM) is the principal cellular donor of methyl moiety in the methylation reaction and regulates gene expression by regulating methylation-related cellular events, such as epigenetic status. Although SAM biosynthesis affects a variety of biological phenomena including disease and aging, whether cell-specific SAM biosynthesis status is present and how it contributes to cellular function are largely unknown. Here, we firstly showed that the Drosophila germline in gametogenesis has a repressive SAM biosynthesis status through the observation of SAM synthetase (Sam-S), a key enzyme for SAM biosynthesis. In addition, our study showed that germline-unique repressive SAM biosynthesis status contributes to inhibition of retrotransposon expression; enhancement of SAM biosynthesis in germline caused excessive expression of retrotransposons including HeT-A, a telomere-specific retroelement, as the most affected target. We found that the promoter activity of HeT-A is enhanced in SAM increased condition with increased accumulation of 6mA DNA methylation, the major DNA methylation modification in the Drosophila genome. Interestingly, the enhanced 6mA enrichment and gene expression in enriched loci were not correlated in other retrotransposons or structural genes. Taken together, our results suggest that SAM-deficient status in the germline uniquely regulates HeT-A transcription via 6mA methylation modification. Thus, our study provides a new understanding of how germline unique metabolic status contributes to regulation of the retrotransposon.

developmental biology↗

Hepatic Inactivation of Carnitine Palmitoyltransferase 1a Lowers Apolipoprotein B Containing Lipoproteins in Mice

Genome- and epigenome-wide association studies have associated variants and methylation status of carnitine palmitoyltransferase 1a (CPT1a) to reductions in very low-density lipoprotein (VLDL) cholesterol and triglyceride levels. We report significant associations between the presence of CPT1a SNPs and reductions in plasma cholesterol, as well as positive associations between hepatic Cpt1a expression and plasma cholesterol levels across inbred mouse strains. Mechanistic studies show that both wild type and human apolipoprotein B100 (apoB)-transgenic mice with liver-specific deletion of Cpt1a (LKO) display lower circulating apoB levels consistent with reduced LDL-cholesterol (LDL-C) and LDL particle number. Despite a reduction in steady-state plasma lipids, VLDL-triglyceride (VLDL-TG) and cholesterol (VLDL-C) secretion rates are increased, suggesting accelerated clearance of apoB-containing lipoproteins (apoB-LPs) in LKO mice. Mechanistic approaches show greater peroxisome proliferator activated receptor (PPAR) signaling which favors enhanced lipoprotein lipase-mediated metabolism of apoB-LPs, including increases in ApoCII and ApoAIV and reductions in ApoCIII & Angptl3. These studies provide mechanistic insight linking genetic variants and methylation status of CPT1a to reductions in circulating apoB-LPs in humans. HIGHLIGHTSO_LILoss-of-function SNPs in CPT1a associate with reductions in plasma cholesterol in humans C_LIO_LIHepatic Cpt1a expression positively associates with plasma cholesterol levels across inbred strains of mice C_LIO_LILiver-specific Cpt1a deficiency lowers circulating apoB, plasma cholesterol, LDL-C, and LDL particle number C_LIO_LICpt1a ablation activates PPAR and favors clearance of apoB-containing lipoproteins C_LI

physiology↗

Octopamine signals coordinate the spatial pattern of presynaptic machineries in the Drosophila mushroom bodies

Neurons need to adjust synaptic output according to the targets. However, the target-specific synaptic structures within individual neurons in the central nervous system remains unresolved. Applying the CRISPR/Cas9-mediated split-GFP tagging, we visualized the endogenous active zone scaffold protein, Bruchpilot (Brp), in specific cells. This technology enabled the spatial characterization of presynaptic machineries only within the Kenyon cells (KCs) of the Drosophila mushroom bodies. We found the patterned accumulation of Brp among the compartments of axon terminals, where a KC synapses onto different postsynaptic neurons. Mechanistically, the localized octopaminergic modulation along {gamma} KC terminals regulate this compartmental Brp heterogeneity via Oct{beta}2R and cAMP signaling. We further found that acute food deprivation reorganizes this spatial pattern in an octopamine-dependent manner. Such coordinated regulation of local synaptic machineries thus explains how the mushroom bodies integrate changing physiological states. This subcellular information processing represents an elegant solution to expand computational capacity of the circuit.

neuroscience↗

Meioc-Piwil1 complexes regulate rRNA transcription for differentiation of spermatogonial stem cells

Ribosome biogenesis is vital for sustaining stem cell properties, yet its regulatory mechanisms are obscure. Herein, we show unique properties of zebrafish meioc mutants in which spermatogonial stem cells (SSCs) do not differentiate or upregulate rRNAs. Meioc colocalized with Piwil1 in perinuclear germ granules, but Meioc depletion resulted in Piwil1 accumulation in nucleoli. Nucleolar Piwil1 interacted with 45S pre-rRNA. piwil1+/-spermatogonia with reduced Piwil1 upregulated rRNAs, and piwil1+/-;meioc-/- spermatogonia recovered differentiation later than those in meioc-/-. Further, Piwil1 interacted with Setdb1 and HP1, and meioc-/- spermatogonia exhibited high levels of H3K9me3 and methylated CpG in the 45S-rDNA region. These results indicate that zebrafish SSCs maintain low levels of rRNA transcription with repressive marks similar to Drosophila piRNA targets of RNA polymerase II, and that Meioc has a unique function on preventing localization of Piwil1 in nucleoli to upregulate rRNA transcripts and to promote SSC differentiation.

developmental biology↗

A Bidirectional Brain-Fat Body Axis for Pathogen Avoidance

Ingesting pathogens through spoiled food can cause serious harm, including infections, tissue damage, and even death. To prevent these outcomes, many animals have evolved behaviors to avoid consuming harmful pathogens. While pathogen avoidance behavior is conserved across species, the mechanisms linking immune responses of the body with neuron-controlled behavior remain unclear. Building on our previous findings, we here present a new bidirectional body-brain communication between the fat body and the nervous system that drives immune receptor-induced avoidance behavior. We show that immune receptor signaling and a specific antimicrobial peptide (AMP) are essential in both octopaminergic neuromodulatory neurons and the fat body for rapidly reducing pathogen intake after initial ingestion. Mechanistically, the octopaminergic neurons innervate the flys fat body where they trigger a calcium response through a specific octopamine receptor. This octopaminergic signal prompts the fat body to release dopamine. In turn, Dop1R1 signaling in output neurons of the mushroom body, the insect higher brain center, drives pathogen avoidance. Together, our data suggest that ingested pathogens are detected by immune receptors in neurons, which, through synaptic connections, trigger the release of dopamine and AMPs from fat cells. While AMPs combat the pathogens, dopamine reduces further ingestion by inducing behavioral changes. This mechanism demonstrates efficient communication between the body and brain, coordinating survival behaviors through systemic dopamine signaling from the fat body to the brain.

neuroscience↗

Odor sensory tests vs. In-silico prediction for the high-definition quantification of olfaction dynamics

The intricate dynamics of volatile organic compounds (VOCs) in the human respiratory system remain poorly understood. In the present study, we integrate odor sensory tests (OSTs) coupled with computational fluid dynamics and a physiologically based pharmacokinetic (CFD-PBPK) model to elucidate various aspects of the olfaction process. Safe yogurt-derived substances were incorporated in OSTs to prevent harmful exposure. Acetaldehyde was identified as a key active component in determining odor intensity, prompting further analysis of acetone and other four constituents of yogurt. Logarithmic correlations were established between the perceived odor intensity from the OSTs and both time-averaged absorption flux and equilibrium concentration within the olfactory mucus layer. These parameters were numerically captured, enabling the logarithmic approximation of odor intensity for different breathing profiles and the development of reliable prediction models for odor sensation based on quantifiable physiological parameters. The CFD-PBPK model captured detailed spatial and temporal variations of these parameters, which offers potential for future integrated/in-silico applications. Minor peaks of odor concentration were observed in the posterior olfactory regions during exhalation, revealing a retro-nasal phenomenon. Location-specific analysis revealed the nostrils and olfactory regions as the most accurate indicators of perceived odor intensity, proving the limitations of rough sensory assessments in the indoor/breathing zone scales. Acetone exhibited distinct absorption and desorption trends during the transitional phase between inhalation and exhalation, owing to the physical properties (diffusion and partition coefficients) that strongly characterize the olfaction dynamics. Author SummaryWe developed an integrated method using odor sensory tests (OSTs) coupled with computational fluid dynamics and physiologically based pharmacokinetic models (CFD-PBPK) to assess the temporal and spatial transport of yogurt odorants to the human olfactory region. Multiple phenomena were observed, including ortho-nasal and retro-nasal olfaction, temporal changes in the perceived odor intensity associated with breathing/sniffing profiles, absorption and desorption curves of acetone in the mucus epithelium, and regional-based olfaction distribution. The perceived odor intensity from OSTs can be predicted logarithmically in correlation with both the time-averaged absorption flux and the equilibrium concentration in the olfactory mucus layer, offering a reliable in-silico prediction model for odor sensation based on numerically quantifiable parameters. This model offers potential implications for multiple computational, biomedical, and industrial applications, such as the electric noses, smart odor sensors, food assessments, and fragrance development, particularly for long-term exposure in the industries that emit odorous compounds. It can open the door for more accurate predictions of the complex micro-fluid dynamics in the microbial ciliated tissues in the olfactory receptors.

bioengineering↗

Conserved variation across scales unveils dialectical relationships of micro- and macroevolution

Variation enables short-term evolution (microevolution), but its role in long-term evolution (macroevolution) is debated. Here, we analyzed a dataset of Drosophila wing variation across six levels of biological organization to demonstrate that microevolutionary variation and macroevolutionary divergence are positively correlated at all levels from variation within an individual to 40 million years of macroevolution. Surprisingly, the strongest relationship was between developmental noise and macroevolutionary divergence--levels thought to be the most distant--whereas the relationship between standing genetic variation and population divergence was modest, despite established theoretical predictions. Our results indicate that the congruence of developmental system with long-term history of fluctuation in adaptive peaks creates dialectical relationships between microevolution and macroevolution.

evolutionary biology↗

Blue light toxicity drives the gut microbiota-mediated lipid accumulation in Drosophila

Human agriculture has always raced against insect adaptation, requiring updated pest control methods and knowledge of evolutionary processes. Excessive exposure to blue light (BL) kills a wide range of insect species and has attracted attention as an alternative to chemical pesticides. Here, to understand how insects adapt to BL toxicity, we investigated evolutionary responses to BL toxicity in Drosophila melanogaster over 70 generations using laboratory selection experiments. The selected line exhibited an obese phenotype accompanied by midgut elongation, with BL tolerance dependent on gut microbiota- mediated lipid accumulation. Whole-genome and transcriptome analyses consistently highlighted interactions between the microbiota and host lipid metabolism-related genes. Remarkably, manipulating genes associated with lipid accumulation conferred BL tolerance even in the absence of selection. We suggest that the acquisition of BL tolerance occurs through adaptive obesity. Our study introduces a mechanism of evolutionary adaptation of insects against BL-based selective pressure by maximising the benefits from the gut microbiota via midgut elongation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/608892v5_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@111c9d5org.highwire.dtl.DTLVardef@d9bf7forg.highwire.dtl.DTLVardef@1ab46fborg.highwire.dtl.DTLVardef@1c111cd_HPS_FORMAT_FIGEXP M_FIG C_FIG Brief summaryLaboratory selection for tolerance to blue light toxicity in Drosophila revealed that gut microbiota-mediated obesity, marked by midgut elongation and increased beneficial bacteria, is a key evolutionary adaptation.

evolutionary biology↗

Development and Optimization of Genetic Manipulation Systems in Group I Clostridium botulinum

Clostridium botulinum causes the disease botulism, and nontoxigenic Clostridium sporogenes is closely related to group I C. botulinum. Despite its pathogenicity, C. botulinum remains poorly characterized. Genetic manipulation is critical for understanding bacterial physiology and disease. We compared the conjugal transformation efficiencies of seven strains, including group I C. botulinum (strains 62A, 7I03-H, Okra, Osaka05, 111) and C. sporogenes (strains JCM 1416T, ATCC 15579), and our results showed that few or no transformants were obtained in certain strains. In the present study, we demonstrate that our optimized protocol increases the efficiency of DNA transfer from E. coli donor cells to recipient strains. In addition, we developed a novel conjugal suicide vector pXMTL that contains xylose-inducible mazF as a counter-selection marker, and can be transferred into Clostridium spp. by conjugation. The allele-coupled exchange (ACE) system using pXMTL provides a rapid method for precise, markerless and scarless genome editing in group I C. botulinum and C. sporogenes. ImportanceGroup I C. botulinum and C. sporogenes exhibit low transformation efficiencies, and few or no transformants are yielded by some strains. In this study, we optimized the conjugation protocol to improve transformation efficiency. In addition, we developed a novel suicide vector pXMTL harboring a xylose-inducible mazF marker, and can be transferred into Clostridium spp. by conjugation. The combination of pXMTL and the optimized conjugation protocol provides a powerful tool for genetic manipulation of group I C. botulinum and C. sporogens.

microbiology↗