Biology subjects

Nakajima, M.

Publications and source records attributed to Nakajima, M..

16 recordsLinked to original sources

bioRxiv2025

Discovery of a wide variety of α-1,6-cyclized β-1,2-glucan synthases: a new entrance for host-microbe interactions.

-1,6-Cyclized {beta}-1,2-glucans (C{beta}G) are established virulence factors in Xanthomonas, yet functional breadth and distribution of C{beta}Gs in nature have remained unclear. Here, we biochemically identified enzymes synthesizing C{beta}Gs with specific chain lengths, exhibiting potential natural occurrence of various C{beta}Gs. Structural analyses identify subtle variations in a loop, named Loop X, as a key determinant of product size, leading to understanding of the whole picture of the mechanism that controls the sizes. We further demonstrated that C{beta}G composed of 13 glucose units contributes to plant-virulence in Ralstonia pseudosolanacearum, expanding the functional scope of virulence-associated cyclic glucans. Overall, it provides the potential targets for regulating various plant-microbe interactions and also serves as a vital lead to discovering unknown host-microbe interactions with significant potential for agricultural applications.

biochemistry↗

bioRxiv2025

CYP722A1-driven 16-hydroxylation of carlactonoic acid regulates the floral transition in Arabidopsis

Strigolactones (SLs) are multifunctional plant hormones and rhizosphere signals with diverse structures, broadly categorized as canonical or noncanonical SLs. In Arabidopsis thaliana, SL biosynthesis mutants exhibit increased shoot branching and early flowering, underscoring their roles in developmental regulation. Shoot branching inhibition in Arabidopsis depends on the methylation of carlactonoic acid (CLA), a key intermediate classified as a noncanonical SL, catalyzed by CLA methyltransferase (CLAMT). Canonical SLs primarily function as rhizosphere signals, with their biosynthesis in dicots mediated by CYP722C enzymes. It is hypothesized that Arabidopsis does not produce canonical SL because of the lack of the CYP722C genes in its genome. Instead, Arabidopsis possesses CYP722A1, a member of the previously uncharacterized CYP722A subfamily, distinct from the CYP722C subfamily. This study demonstrates that Arabidopsis cyp722a1 mutants exhibit an earlier floral transition without excessive shoot branching. Biochemical analysis revealed that CYP722A1 catalyzes the hydroxylation of CLA to produce 16-hydroxy-CLA (16-HO-CLA), which is subsequently methylated by CLAMT to form 16-HO-MeCLA. 16-HO-CLA and 16-HO-MeCLA were detected in the wild-type; however, these compounds were absent in max1-4 mutant, which is deficient in CLA synthesis, and in cyp722a1 mutant. These findings indicate the presence of CYP722A1-dependent 16-hydroxylation activity of CLA in Arabidopsis. Moreover, they suggest that hydroxylated CLA specifically regulates floral transition, distinct from branching inhibition. By identifying CYP722A1 as a regulator of floral transition, which is the distinct role of the CYP722A subfamily, this work provides insights into the adaptation of SL structures for specialized biological functions in plant development.

plant biology↗

bioRxiv2024

Image retrieval based on closed-loop visual-semantic neural decoding

Neural decoding via the latent space of deep neural network models can infer perceived and imagined images from neural activities, even when the image is novel for the subject and decoder. Brain-computer interfaces (BCIs) using the latent space enable a subject to retrieve intended image from a large dataset on the basis of their neural activities but have not yet been realized. Here, we used neural decoding in a closed-loop condition to retrieve images of the instructed categories from 2.3 million images on the basis of the latent vector inferred from electrocorticographic signals of visual cortices. Using a latent space of contrastive language-image pretraining (CLIP) model, two subjects retrieved images with significant accuracy exceeding 80% for two instructions. In contrast, the image retrieval failed using the latent space of another model, AlexNet. In another task to imagine an image while viewing a different image, the imagery made the inferred latent vector significantly closer to the vector of the imagined category in the CLIP latent space but significantly further away in the AlexNet latent space, although the same electrocorticographic signals from nine subjects were decoded. Humans can retrieve the intended information via a closed-loop BCI with an appropriate latent space.

neuroscience↗

bioRxiv2024

Identification and Characterization of Compounds that Improve Plant Photosynthesis and Growth under Light Stress Conditions.

In order to satisfy the food and fuel demands of a growing population, global food production needs to increase by more than 50% before 2050. However, various environmental stresses in the natural environment inhibit plant growth and result in reduced yields. This is primarily caused by decreases in photosynthetic capacity. Thus, there is an urgent need to develop new strategies to improve agricultural productivity and ensure food security. In this study, a novel chemical-screening system with 96 well plates and leaf disks of tobacco was used to identify several anthraquinone derivatives that could relieve high light stress from plants. Treatments with these chemicals induced greater photosynthetic capacity after high light stress conditions for 20-72 hours (h) in tobacco and better plant growth after exposure to light stress for 96 hours in Arabidopsis and lettuces. The photoprotective effect of anthraquinone derivatives is closely related to chemical induced oxidation of PSI. Furthermore, there were no negative effects on plant growth in chemically treated plants under non-stressful conditions. Taken together, this study shows that anthraquinone derivatives can confer high light stress tolerance in plants, resulting in improved plant photosynthesis and growth in environments with light stress.

plant biology↗

bioRxiv2024

Beta-Glucanase superfamily identified by sequential, functional, and structural analyses

{beta}-1,2-Glucans are natural glucose polymers that play important physiological roles, including as symbiotic or pathogenic factors and in osmoregulation. Phylogenetically new glycoside hydrolase (GH) families have recently been identified from {beta}-1,2-glucanase (SGL) sequences from bacteria (GH144) and a fungus (GH162). In this study, we identified four phylogenetically new groups (Groups 1-4), and determined that these families, together with GH144, GH162, and GH189, a family of transglycosylase domains in cyclic {beta}-1,2-glucan synthases, form a superfamily. Biochemical analysis of six proteins in these groups revealed that the proteins in Groups 1-3 showed hydrolytic activity specific to {beta}-1,2-glucan. The kinetic parameters of the enzymes of Groups 1-3 were similar to GH144 and GH162 SGLs, indicating that these enzymes were SGLs. Optical rotation analysis revealed that the SGLs followed an anomer-inverting mechanism. Structural analysis and prediction of the proteins in Groups 1-4, GH144, GH162, and GH189 suggested that Groups 1-3 and GH144 had the same reaction mechanism. Nevertheless, Groups 1-3 were dispersed irregularly in the superfamily. Overall, we determined that Groups 1-3 were new GH families, GHxxx, GHyyy, and GHzzz, respectively, and proposed that this superfamily be called an SGL superfamily because of the phylogenetical, functional, and structural relationships within the superfamily. HighlightsWide variety of glycoside hydrolases is far beyond our understanding. Functional and structural analysis identified three new glycoside hydrolase families. Molecular evolution with irregular changes in reaction mechanism was revealed.

biochemistry↗

bioRxiv2023

Phytopathogenic cyclic glucohexadecaose from an inverting transglycosylase

Xanthomonas species contain numerous notoriously well-known plant pathogens. Among various pathogenic factors, the role of -1,6-cyclized {beta}-1,2-glucohexadecaose (C{beta}G16) produced by Xanthomonas campestris pv. campestris was shown previously to be vital for infecting model organisms Arabidopsis thaliana and Nicotiana benthamiana. However, enzymes responsible for biosynthesising C{beta}G16 are essentially unknown, which limits the generation of agrichemicals that inhibit C{beta}G16 synthesis. In this study, we discovered that OpgD from X. campestris pv. campestris converts linear {beta}-1,2-glucan to C{beta}G16. Structural and functional analyses revealed that OpgD from X. campestris pv. campestris possesses an anomer-inverting transglycosylation mechanism, which is unprecedented among carbohydrate-active enzymes. The discovery of this unprecedented glucan-generating mechanism reveals a new foundation for the enzymatic synthesis of carbohydrates. Furthermore, identifying C{beta}G16 synthase highly conserved in Xanthomonas provides a broadly adaptable drug target for new-genre agrichemicals that overcome antimicrobial-resistant bacterial issues.

biochemistry↗

bioRxiv2023

Functional and structural analysis of a cyclization domain in a cyclic beta-1,2-glucan synthase

Cyclic {beta}-1,2-glucan synthase (CGS) is a key enzyme in production of cyclic {beta}-1,2-glucans (C{beta}Gs) which are involved in bacterial infection or symbiosis to host organisms. Nevertheless, a mechanism of cyclization, the final step in the CGS reaction, has not been fully understood. Here we performed functional and structural analyses of the cyclization domain of CGS alone from Thermoanaerobacter italicus (TiCGSCy). We first found that {beta}-glucosidase-resistant compounds are produced by TiCGSCy with linear {beta}-1,2-glucans as substrates. The 1H-NMR analysis revealed that these products are C{beta}Gs. Next, action pattern analyses using {beta}-1,2-glucooligosaccharides revealed a unique reaction pattern: exclusive transglycosylation without hydrolysis and a hexasaccharide as the minimum length of the substrate. Nevertheless, longer substrate {beta}-1,2-glucooligosaccharides are preferred, being consistent with the fact that CGSs generally produce C{beta}Gs with degrees of polymerization of around 20. Finally, the overall structure of the cyclization domain of TiCGSCy was found to be similar to those of {beta}-1,2-glucanases in phylogenetically different groups. Meanwhile, the identified catalytic residues indicated clear difference in the reaction pathways between these enzymes. Therefore, we propose a novel reaction mechanism of TiCGSCy. Thus, we propose that the present group of CGSs should be defined as a new glycoside hydrolase family, GHxxx. Statements and DeclarationsCompeting Interests: The authors declare no competing interests. Key PointsIt was clearly evidenced that cyclization domain alone produces cyclic {beta}-1,2-glucans. The domain exclusively catalyzes transglycosylation without hydrolysis. The present catalytic domain should be defined as a new glycoside hydrolase family.

biochemistry↗

bioRxiv2023

Microscopic and metatranscriptomic analyses revealed unique cross-domain symbiosis between Candidatus Patescibacteria/candidate phyla radiation (CPR) and methanogenic archaea in anaerobic ecosystems

To verify the parasitic lifestyle of Candidatus Patescibacteria in the enrichment cultures derived from a methanogenic bioreactor, we applied multifaceted approaches combining cultivation, microscopy, metatranscriptomic, and protein structure prediction analyses. Cultivation experiments with the addition of exogenous methanogenic archaea with acetate, amino acids, and nucleoside monophosphates and 16S rRNA gene sequencing confirmed the increase in the relative abundance of Ca. Patescibacteria and methanogens. The predominant Ca. Patescibacteria were Ca. Yanofskybacteria and 32-520 lineages (to which belongs to class Ca. Paceibacteria) and positive linear relationships (r2 [≥] 0.70) between the relative abundance of Ca. Yanofskybacteria and Methanothrix, suggesting that the tendency of the growth rate is similar to that of the host. By fluorescence in situ hybridization (FISH) observations, the FISH signals of Methanothrix and Methanospirillum cells with Ca. Yanofskybacteria and with 32-520 lineages, respectively, were significantly lower than those of the methanogens without Ca. Patescibacteria, suggesting their parasitic interaction. The TEM and SEM observations also support parasitism in that the cell walls and plugs of these methanogens associated with submicron cells were often deformed. In particular, some Methanothrix-like filamentous cells were dented where the submicron cells were attached. Metatranscriptomic and protein structure prediction analyses identified highly expressed secreted genes from the genomes of Ca. Yanofskybacteria and 32-520, and these genes contain adhesion-related domains to the host cells. Considering the results through the combination of microscopic observations, gene expression, and computational protein modeling, we propose that the interactions between Ca. Yanofskybacteria and 32-520 belonging to class Ca. Paceibacteria and methanogenic archaea are parasitism.

microbiology↗

bioRxiv2023

Biosynthesis of gibberellin-related compounds modulates far-red light responses in the liverwort Marchantia polymorpha

The phytohormone gibberellins (GAs) are key regulators of growth, development and environmental responses in angiosperms. From an evolutionary perspective, all major steps of GA biosynthesis are conserved among vascular plants, while GA biosynthetic intermediates such as ent-kaurenoic acid (KA) are also produced by bryophytes. Here we show that in the liverwort Marchantia polymorpha, KA and GA12 are synthesized by evolutionarily conserved enzymes, which are required for developmental responses to far-red light (FR). Under FR-enriched conditions, mutants of various biosynthesis enzymes consistently altered thallus growth allometry, delayed the initiation of gametogenesis, and affected the morphology of gamete-bearing structures (gametangiophores). By chemical treatments and LC-MS/MS analyses, we confirmed these phenotypes were caused by deficiency of some GA-related compounds derived from KA, but not bioactive GAs from vascular plants. Transcriptome analysis showed that FR enrichment induced the up-regulation of genes related to stress responses and secondary metabolism in M. polymorpha, which was largely dependent on the biosynthesis of GA-related compounds. Due to the lack of the canonical GA receptors in bryophytes, we hypothesize that GA-related compounds are commonly synthesized in land plants but co-opted independently to regulate responses to light quality change in different lineages during the past 450 million years of evolution.

plant biology↗

bioRxiv2023

Novel glycoside hydrolase family enzymes from Escherichia coli are associated with osmo-regulated periplasmic glucan synthesis

Most Gram-negative bacteria synthesize osmo-regulated periplasmic glucans (OPG) in the periplasm or extracellular space. Many pathogens lose their pathogenicity by knocking out opgG, an OPG-related gene indispensable for OPG synthesis. However, the biochemical functions of OpgG and OpgD, a paralog of OpgG, have not been elucidated. In this report, structural and functional analyses of OpgG and OpgD from Escherichia coli revealed that these proteins are {beta}-1,2-glucanases with remarkably different activity, establishing a new glycoside hydrolase family. Furthermore, a reaction mechanism with an unprecedentedly long proton transfer pathway is proposed for OpgD. The conformation of the region that forms the reaction pathway differs noticeably between OpgG and OpgD, which explains the observed low activity of OpgG. The findings enhance our understanding of OPG biosynthesis and provide insights into functional diversity for this novel enzyme family.

biochemistry↗

bioRxiv2023

ncBAF, a chromatin remodeler, enhances PXR-mediated transcriptional activation in the human and mouse liver

Pregnane X receptor (PXR) is one of the key regulators of drug metabolism, gluconeogenesis, and lipid synthesis in the human liver. Activation of PXR by drugs such as rifampicin, simvastatin, and efavirenz causes adverse reactions such as drug{square}drug interaction, hyperglycemia, and dyslipidemia. The inhibition of PXR activation has merit in preventing such adverse events. Here, we demonstrated that bromodomain containing protein 9 (BRD9), a component of non-canonical brahma-related gene 1-associated factor (ncBAF), one of the chromatin remodelers, interacts with PXR. Rifampicin-mediated induction of CYP3A4 expression was attenuated by iBRD9, an inhibitor of BRD9, in human primary hepatocytes and CYP3A/PXR-humanized mice, indicating that BRD9 enhances the transcriptional activation of PXR in vitro and in vivo. Chromatin immunoprecipitation assay reveled that iBRD9 treatment resulted in attenuation of the rifampicin-mediated binding of PXR to the CYP3A4 promoter region, suggesting that ncBAF functions to facilitate the binding of PXR to its response elements. Efavirenz-induced hepatic lipid accumulation was attenuated by iBRD9 in C57BL/6J mice, suggesting that the inhibition of BRD9 would be useful to reduce the risk of efavirenz-induced hepatic steatosis. Collectively, we found that inhibitors of BRD9, a component of ncBAF that plays a role in assisting transactivation by PXR, would be useful to reduce the risk of PXR-mediated adverse reactions.

pharmacology and toxicology↗

bioRxiv2021

Epileptic Spike Detection by Recurrent Neural Networks with Self-Attention Mechanism

ObjectiveBecause of the lack of highly skilled experts, automated technologies that support electroencephalogram (EEG)-based in epilepsy diagnosis are advancing. Deep convolutional neural network-based models have been used successfully for detecting epileptic spikes, one of the biomarkers, from EEG. However, a sizeable number of supervised EEG records are required for training. ApproachThis study introduces the Satelight model, which uses the self-attention (SA) mechanism. The model was trained using a clinical EEG dataset labeled by five specialists, including 16,008 epileptic spikes and 15,478 artifacts from 50 children. The SA mechanism is expected to reduce the number of parameters and efficiently extract features from a small amount of EEG data. To validate the effectiveness, we compared various spike detection approaches with the clinical EEG data. Main resultsThe experimental results showed that the proposed method detected epileptic spikes more effectively than other models (accuracy = 0.876 and false positive rate = 0.133). SignificanceThe proposed model had only one-tenth the number of parameters as the other effective model, despite having such a high detection performance. Further exploration of the hidden parameters revealed that the model automatically attended to the EEGs characteristic waveform locations of interest.

bioengineering↗

bioRxiv2021

Comparative analyses of gene expression in common marmoset and human pluripotent stem cells (PSCs) identify factors enhancing homologous recombination efficiency in the HPRT locus of human PSCs

A previous study assessing the efficiency of the genome editing technology CRISPR-Cas9 for knock-in gene targeting in common marmoset (marmoset; Callithrix jacchus) embryonic stem cells (ESCs) unexpectedly identified innately enhanced homologous recombination (HR) activity in marmoset ESCs (cmESCs). Here, we compared gene expression in marmoset and human pluripotent stem cells (PSCs) using transcriptomic and quantitative PCR (qPCR) analyses and found that five HR-related genes (BRCA1, BRCA2, RAD51C, RAD51D and RAD51) were upregulated in marmoset cells. Four of these upregulated genes enhanced HR efficiency with CRISPR-Cas9 in human pluripotent stem cells. Thus, the present study provides a novel insight into species-specific mechanisms for the choice of DNA repair pathways.

cell biology↗

bioRxiv2020

Basis for the phototaxis sign reversal in the green alga Chlamydomonas reinhardtii studied by high-speed observation

For organisms that respond to environmental stimuli using taxes, reversal of the tactic sign should be tightly regulated for survival. The biciliate green alga Chlamydomonas reinhardtii is an excellent model for studying reversal between positive and negative phototaxis. C. reinhardtii cells change swimming direction by modulating the balance of beating forces between their two cilia after photoreception at the eyespot; however, it remains unknown how they reverse phototactic sign. In this study, we observed cells undergoing phototactic turns with a high-speed camera and found that two key factors determine the phototactic sign: which of the two cilia beats more strongly for phototactic turning and when the strong beating starts. The timing of the strong ciliary beating is suggested to be regulated by ROS-regulated switching between the light-on and light-off responses at the eyespot, which leads to the switching between positive and negative phototaxis. This idea is supported by a mathematical model that introduces the timing of the strong ciliary beating after photoreception.

cell biology↗

bioRxiv2020

Epileptic Spike Detection by Using a Linear-Phase Convolutional Neural Network

To cope with the lack of highly skilled professionals, machine learning with proper signal processing is key for establishing automated diagnostic-aid technologies with which to conduct epileptic electroencephalogram (EEG) testing. In particular, frequency filtering with the appropriate passbands is essential for enhancing the biomarkers--such as epileptic spike waves--that are noted in the EEG. This paper introduces a novel class of neural networks (NNs) that have a bank of linear-phase finite impulse response filters at the first layer as a preprocessor that can behave as bandpass filters that extract biomarkers without destroying waveforms because of a linear-phase condition. Besides, the parameters of the filters are also data-driven. The proposed NNs were trained with a large amount of clinical EEG data, including 15,833 epileptic spike waveforms recorded from 50 patients, and their labels were annotated by specialists. In the experiments, we compared three scenarios for the first layer: no preprocessing, discrete wavelet transform, and the proposed data-driven filters. The experimental results show that the trained data-driven filter bank with supervised learning behaves like multiple bandpass filters. In particular, the trained filter passed a frequency band of approximately 10-30 Hz. Moreover, the proposed method detected epileptic spikes, with the area under the receiver operating characteristic curve of 0.967 in the mean of 50 intersubject validations.

neuroscience↗

bioRxiv2019

Inverse correlation between heme synthesis and the Warburg effect in cancer cells

AbstractsCancer cells show a bias toward the glycolytic system over the conventional mitochondrial electron transfer system for obtaining energy. This biased metabolic adaptation is called the Warburg effect. Cancer cells also exhibit a characteristic metabolism, a decreased heme synthesizing ability. Here we show that heme synthesis and the Warburg effect are inversely correlated. We used human gastric cancer cell lines to investigate glycolytic metabolism and electron transfer system toward promotion/inhibition of heme synthesis. Under hypoxic conditions, heme synthesis was suppressed and the glycolytic system was enhanced. Addition of a heme precursor for the promotion of heme synthesis led to an enhanced electron transfer system and inhibited the glycolytic system and vice versa. Enhanced heme synthesis leads to suppression of cancer cell proliferation by increasing intracellular reactive oxygen species levels. Collectively, the promotion of heme synthesis in cancer cells eliminated the Warburg effect by shifting energy metabolism from glycolysis to oxidative phosphorylation.

biochemistry↗