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Biology subjects

Ide, K.

Publications and source records attributed to Ide, K..

11 recordsLinked to original sources

A combination of two-enzyme system and enzyme engineering improved the activity of a new PET hydrolase identified from soil bacterial genome

We here report a novel PET hydrolase originating from a soil microbial genome sequence. This enzyme, bbPET0069, exhibits characteristics resembling a cutinase-like Type I PET-degrading enzyme but lacks disulfide bonds. Notably, bbPET0069 displayed remarkable synergy with Candida antarctica lipase B (CALB), demonstrating rapid and efficient PET degradation. To improve the PET degradation activity of bbPET0069, we employed a three-dimensional (3D) structural modeling to identify mutation sites around its substrate binding domain combined with a protein language model for effective mutation prediction. Through three initial rounds of directed evolution, we achieved a significant enhancement in PET degradation with CALB, resulting in a 12.6-fold increase compared to wild-type bbPET0069 without CALB. We confirmed its PET degradation activity in PET nanoparticles and films, and our proposed approach enabled efficient PET degradation to terephthalic acid monomers up to 95.5%. Our approach, which integrates a two-enzyme system with protein engineering, demonstrates the potential for enhancing the activity of emerging PET-degradation enzymes, which may possess unique attributes. Graphical AbstractA novel PET hydrolase, bbPET0069, was identified from a soil microbial genome. bbPET0069 and CALB showed remarkable synergy in PET degradation. Using surface feature analysis, PET degradation activity of bbPET0069 was significantly improved. This combination of a two-enzyme system and surface feature analysis holds promise for enhancing emerging PET-degradation enzymes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/578500v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@4c1c08org.highwire.dtl.DTLVardef@c47c74org.highwire.dtl.DTLVardef@1c6cd19org.highwire.dtl.DTLVardef@c32e73_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

Genome and Genetic Engineering of the House Cricket (Acheta domesticus) Applications for Sustainable Agriculture

The house cricket, Acheta domesticus, is one of the most farmed insects worldwide and the foundation of an emerging industry for the use of insects as a sustainable food source. Edible insects present a promising alternative for protein production amid a plethora of recent reports on climate change and biodiversity loss largely driven by agriculture. As with other agricultural crops, genetic resources are needed to improve crickets for food and other applications. We present the first high quality annotated genome assembly of A. domesticus which was assembled from long read data and scaffolded to chromosome level from long range data, providing information on promoters and genes needed for genetic manipulation. Gene groups that may be useful for improving the value of these insects to farmers were manually annotated, mainly genes related to immunity. Metagenome scaffolds in the A. domesticus assembly, including those from bacteria, other microbes and viruses such as Invertebrate Iridescent Virus 6 (IIV6), were submitted in a separate accession as host-associated sequences. We demonstrate both CRISPR/Cas9-mediated knock-in and knock-out of selected genes and discuss implications for the food, pharmaceutical and other industries. RNAi was demonstrated to disrupt the function of the vermilion eye-color gene to produce a useful white-eye biomarker phenotype. We are utilizing these data to develop base technologies and methodologies for downstream commercial applications, including the generation of more nutritious and disease resistant crickets as well as lines producing valuable bioproducts such as vaccines and antibiotics. We also discuss how this foundational research can play a critical role in utilizing the largest, most diverse yet almost entirely untapped biological resource on Earth: Class Insecta. Significance StatementSequencing and assembly of the genome of the house cricket has led to improvements in farmed insects for food, pharmaceutical and other applications.

genomics↗

Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral

Endozoicomonas bacteria symbiose with various marine organisms and are known to be beneficial for coral health. However, genome analysis of coral-associated Endozoicomonas has been limited owing to the difficulty in cultivation and metagenomic approach by contamination of host-derived sequences. In this study, we applied a novel single-cell genomics technique using droplet microfluidics to obtain single-cell amplified genome (SAGs) for coral-associated Endozoicomonas spp. genome. We obtained seven novel Endozoicomonas genomes from Acropora tenuis coral. These genomes revealed that Endozoicomonas bacteria played host-associated functions in host corals and had undergone independent host-adaptive evolution in different clades. These adaptive evolutions were mediated by host-derived eukaryotic-like genes, some of which were speculated to influence host immune mechanisms. These genes are speculated to enhance coral tolerance to environmental stresses. This study suggests the possibility of host adaptation of Endozoicomonas spp. in symbiosis with corals and their contribution to coral bleaching tolerance.

microbiology↗

Reproducible and sensitive micro-tissue RNA-sequencing from formalin-fixed paraffin-embedded tissue for spatial gene expression analysis

Spatial transcriptome analysis of formalin-fixed paraffin-embedded (FFPE) tissues using RNA-sequencing (RNA-seq) provides interactive information on morphology and gene expression, which is useful for clinical applications. However, despite the advantages of long-term storage at room temperature, FFPE tissues may be severely damaged by methylene crosslinking and provide less gene information than fresh-frozen tissues. In this study, we proposed a sensitive FFPE micro-tissue RNA-seq method that combines the punching of tissue sections (diameter: 100 m) and the direct construction of RNA-seq libraries. We evaluated a method using mouse liver tissues at 2 years after fixation and embedding and detected approximately 7,000 genes in micro-punched tissue-spots (thickness: 10 m), similar to that detected with purified total RNA (2.5 ng) equivalent to the several dozen cells in the spot. We applied this method to clinical FFPE specimens of lung cancer that had been fixed and embedded 6 years prior, and found that it was possible to determine characteristic gene expression in the microenvironment containing tumor and non-tumor cells of different morphologies. This result indicates that spatial gene expression analysis of the tumor microenvironment is feasible using FFPE tissue sections stored for extensive periods in medical facilities.

molecular biology↗

Multi-omics analysis reveals cross-organism interactions in coral holobiont

Corals create an ecosystem, called a holobiont, with intracellular algae (zooxanthellae) and resident bacteria. Zooxanthellae and some bacteria play major roles in the physiological properties of the coral host. However, because of the difficulties in experimental verification of cross-organism interactions, the mechanisms underpinning these interactions are largely unknown. To address this, we here generated and then analyzed multi-omics datasets for corals, zooxanthellae, and bacteria collected at Okinawa, Japan, from November 2014 to September 2016. Using cross-organism co-expression analysis, we successfully characterized the host-alga relationship in the coral holobiont. Specifically, we observed that the coral host dominates the zooxanthellae. The multi-omics analysis also suggested that infection with coral-associated bacteria Endozoicomonas likely involves coral-like ephrin ligands, triggering an immune response of the coral host. This study highlights the potential of the multi-omics approach to elucidate coral-microbe interactions.

systems biology↗

Single-cell metabolite detection and genomics reveals uncultivated talented producer

The production of bioactive metabolites is increasingly recognized as an important function of host-associated bacteria. An example is defensive symbiosis that might account for much of the chemical richness of marine invertebrates including sponges (Porifera), one of the oldest metazoans. However, as most complex microbiomes remain largely uncultivated and lack reference genomes, unequivocally linking metabolic functions to a cellular source is a challenge. Here we report an analysis pipeline of microfluidic encapsulation, Raman microscopy, and integrated digital genomics (MERMAID) for an efficient identification of uncultivated producers. We applied this method to the chemically rich bacteriosponge Theonella swinhoei, previously shown to contain Entotheonella symbionts providing most of its bioactive substances except for the antifungal aurantosides that lacked biosynthetic gene candidates in the metagenome. Raman-guided single-bacterial analysis and sequencing revealed a cryptic, distinct multiproducer, Candidatus Poriflexus aureus from a new Chloroflexi lineage. Its exceptionally large genome contains numerous biosynthetic loci and suggested an even higher chemical richness of this sponge than previously appreciated. This study highlights the importance of complementary technologies to uncover microbiome functions, reveals remarkable parallels between distantly related symbionts of the same host, and adds functional support for diverse chemically prolific lineages being present in microbial dark matter. Significance StatementThe production of bioactive metabolites is increasingly recognized as an important function of host-associated bacteria. However, the acquisition of integrated genomic and metabolic data from uncultivated environmental bacteria is still challenging. In this work, we explored the combination of Raman microscopy and single-cell sequencing to localize chemical features to a specific bacterium in an uncultivated microbiome, and we specified the bacteria in the uncultured lineage as a producer of aurantoside, an antifungal natural product, from a chemically and microbially complex sponge. This study offers a new methodology as well as insights into chemical functions of uncultivated life.

microbiology↗

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair

Overwhelming lipid peroxidation induces ferroptotic stress and ferroptosis, a non-apoptotic form of regulated cell death that has been implicated in maladaptive renal repair in mice and humans. Using single-cell transcriptomic and mouse genetic approaches, we show that proximal tubular (PT) cells develop a molecularly distinct, pro-inflammatory state following injury. While these inflammatory PT cells transiently appear after mild injury and return to their original state without inducing fibrosis, they accumulate and contribute to persistent inflammation after severe injury. This transient inflammatory PT state significantly downregulates glutathione metabolism genes, making them vulnerable to ferroptotic stress. Genetic induction of high ferroptotic stress in these cells after mild injury leads to the accumulation of the inflammatory PT cells, enhancing inflammation and fibrosis. Our study broadens the roles of ferroptotic stress from being a trigger of regulated cell death to include the promotion and accumulation of proinflammatory cells that underlie maladaptive repair.

cell biology↗

Recovery of high-quality assembled genomes via single-cell genome-guided binning of metagenome assembly

BackgroundObtaining high-quality (HQ) reference genomes from microbial communities is crucial for understanding the phylogeny and function of uncultured microbes in complex microbial ecosystems. Despite the improved bioinformatic approaches to generate curated metagenome-assembled genomes (MAGs), existing metagenomic binners often fail to obtain reliable MAGs, and thus, they are nowhere comparable to genomes sequenced from isolates in terms of strain level resolution. Here, we present a single-cell genome-guided metagenome binning (MetaSAG) to reconstruct the strain-resolved genomes from microbial communities at once. ResultsMetaSAG employs single-cell amplified genomes (SAGs) generated with microfluidic technology as binning guides to recover improved draft genomes with the metagenomic data. To assess the performance of reconstructing genomes from various microbial communities, we compared MetaSAG with four conventional metagenomic binners using a cell mock community, human gut microbiota, and skin microbiota samples. MetaSAG showed precise contig binning and higher recovery rates (>97%) of rRNA and plasmids compared to conventional binners in genome reconstruction from the cell mock community. In human microbiota samples, MetaSAG recovered the largest number of genomes with a total of 103 gut microbial genomes (21 HQ and 65 showed >90% completeness) and 45 skin microbial genomes (10 HQ and 40 showed >90% completeness), respectively. Conventional binners recovered one Staphylococcus hominis genome, whereas MetaSAG recovered two S. hominis genomes from the identical skin microbiota sample. Single-cell sequencing indicated that these S. hominis genomes clearly derived from two distinct strains harboring specifically different plasmids. We found that all conventional S. hominis MAGs had substantial lack or excess of the genome sequences and contamination of other Staphylococcus bacteria (S. epidermidis). ConclusionsMetaSAG enabled us to obtain the strain-resolved genomes in the mock community and human microbiota samples by assigning metagenomic sequences correctly and covering both highly conserved genes such as rRNA genes and unique extrachromosomal elements, including plasmids. MetaSAG will provide HQ genomes that are difficult to obtain with metagenomic analyses alone and will facilitate the understanding of microbial ecosystems by elucidating detailed metabolic pathways and horizontal gene transfer networks through microbial genomes. MetaSAG is available at https://github.com/kojiari/metasag.

microbiology↗

Development of a humanized mouse model to analyze antibodies specific for human leukocyte antigen (HLA)

In organ transplantation, human leukocyte antigen (HLA)-mismatch grafts not only induce the activation of cellular mediated immune response but also the development of chronic antibody-mediated rejection due to the donor-specific anti-HLA antibody (DSA) produced by B cells and plasma cells interacting with the graft endothelium. Significant improvement in long-term survival after transplantation can be expected if antibody-mediated rejection due to the DSA can be overcome. However, the mechanism of producing or controlling the DSA remains to be elucidated. In recent decades, "humanized mouse model" have been widely used for the basic research of human immune systems, but a humanized mouse model to analyze the mechanism of DSA production has not been established yet. Thus, we aimed to create a humanized mouse using a severe immunodeficiency mouse (NSG mouse) administered with human peripheral blood mononuclear cells (PBMCs). Initially, we detected very low level of human total-IgG and no anti-HLA antibodies (Abs) in these mice. The responder PBMCs with antibody-producing B cell activating factors added or regulatory T cells depleted were subsequently co-cultured with the irradiated stimulator PBMCs in vitro, and these whole cells were administered into naive NSG mice. The humanized model with sufficient human total-IgG and anti-HLA antibody production was consequently established. Interestingly, in all these mouse models, allo-specific anti-HLA Abs production was prominently suppressed, whereas non-allo-specific anti-HLA Abs were sufficiently detectable. Therefore, this novel humanized mouse model might be useful for analyzing the mechanism of anti-allogeneic human B cell tolerance induction.

immunology↗

A reciprocal inhibition model of alternations between non-dissociative and dissociative states in patients with PTSD

ObjectiveTraumatic life-events can leave individuals with contrasting posttraumatic stress disorder (PTSD) symptoms, including re-experiencing and avoidance. Notably, patients with PTSD are known to periodically switch between two opposing attentional biases; namely, toward threat and away from threat. We hypothesized that reciprocal inhibition between the amygdala and ventromedial prefrontal cortex (vmPFC) may induce alternations between these attentional biases, which in turn may contribute to the re-experiencing and avoidance symptoms, respectively.\n\nMethodsTo test this reciprocal inhibition model, we performed an experiment to measure the attentional biases of patients with PTSD. We examined the differential relationships between PTSD symptom clusters (re-experiencing/avoidance) and attentional biases (toward/away from threat). Additionally, we performed a meta-regression analysis to examine the role of amygdala reactivity in the imbalance between re-experiencing and avoidance symptoms.\n\nResultsWe found that attentional bias toward threat was selectively associated with re-experiencing symptoms whereas attentional bias away from threat was selectively associated with avoidance symptoms. Meta-regression analysis based on twelve participant populations (total N = 316) revealed that left amygdala activity was positively correlated with the severity of re-experiencing symptoms relative to avoidance symptoms.\n\nConclusionsOur findings support the hypothesis that reciprocal inhibition of common neural circuits may underlie the switch between attentional biases toward and away from threat as well as that between re-experiencing and avoidance symptoms. Re-experiencing and avoidance/emotional numbing are the core symptoms used to distinguish between the non-dissociative and dissociative PTSD subtypes. The reciprocal inhibition mechanism may help elucidate the mechanisms underlying those PTSD subtypes.

neuroscience↗

Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota

BackgroundThe gut microbiota can have dramatic effects on host metabolism; however, current genomic strategies for uncultured bacteria have several limitations that hinder their ability to identify responders to metabolic changes in the microbiota. In this study, we describe a novel single-cell genomic sequencing technique that can identify metabolic responders at the species level without the need for reference genomes, and apply this method to identify bacterial responders to an inulin-based diet in the mouse gut microbiota. ResultsInulin feeding changed the mouse fecal microbiome composition to increase Bacteroides spp., resulting in the production of abundant succinate in the mouse intestine. Using our massively parallel single-cell genome sequencing technique, named SAG-gel platform, we obtained 346 single-amplified genomes (SAGs) from mouse gut microbes before and after dietary inulin supplementation. After quality control, the SAGs were classified as 267 bacteria, spanning two phyla, four classes, seven orders, and 14 families, and 31 different strains of SAGs were graded as high- and medium-quality draft genomes. From these, we have successfully obtained the genomes of the dominant inulin-responders, Bacteroides spp., and identified their polysaccharide utilization loci and their specific metabolic pathways for succinate production. ConclusionsOur single-cell genomics approach generated a massive amount of SAGs, enabling a functional analysis of uncultured bacteria in the intestinal microbiome. This enabled us to estimate metabolic lineages involved in the bacterial fermentation of dietary fiber and metabolic outcomes such as short-chain fatty acid production in the intestinal environment based on the fibers ingested. The technique allows the in-depth isolation and characterization of uncultured bacteria with specific functions in the microbiota and could be exploited to improve human and animal health.

microbiology↗