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Ihara, K.

Publications and source records attributed to Ihara, K..

9 recordsLinked to original sources

Microevolution toward loss of photosynthesis: Mutations promoting dark-heterotrophic growth and suppressing photosynthetic growth in cyanobacteria

The prevalence of parasitic plants suggests frequent evolution of photosynthetic capacity loss in the natural environment. However, no studies have observed such evolutionary events as a loss of photosynthetic capacity. Herein, we report mutations that lead to a loss or decrease in photosynthetic growth capacity of dark-adapted variants of the cyanobacterium Leptolyngbya boryana, which can grow heterotrophically even in the dark. We isolated 28 dark-adapted variants through long-term cultivation (7-49 months) under dark-heterotrophic conditions. All variants showed significantly faster dark-heterotrophic growth than the parental strains, accompanied by the loss of photosynthetic growth capacity in 15 variants. Genome resequencing of the variants revealed that 19 of the 28 variants carried various mutations in a common single gene (LBDG_21500) encoding a protein phosphatase 2C (PP2C) RsbU that is involved in the partner switching system (PSS). Phenotypic and transcriptomic analyses of a LBDG_21500-knockout mutant suggested that the PSS, including LBDG_21500, is involved in the global transcriptional regulation of various genes under both photoautotrophic and dark-heterotrophic conditions. We propose the renaming of LBDG_21500 to phsP (phototrophic-heterotrophic switching phosphatase). Our results imply that mutations in the global transcriptional regulatory system serve as the first evolutionary step leading to the loss of photosynthetic capacity. ImportancePhotosynthetic organisms that grow using minimal resources: light, water, and CO2, support most heterotrophic organisms as producers on the Earth. When photosynthetic organisms thrive over long generations under environments where organic compounds are readily available, they may lose the photosynthetic capacity because of the relief of selective pressure to maintain photosynthesis. The prevalence of parasitic plants in the natural environment supports this idea. However, there have been no actual observations of evolutionary processes leading to a loss of photosynthetic growth capacity. The significance of our research is in observing microevolution of a cyanobacterium through a long-term cultivating under dark heterotrophic conditions. In particular, the high frequency of mutations to a gene involved in the global transcriptional regulatory system suggests that such mutations in regulatory systems are regarded as an example of the initial evolutionary processes toward complete loss of photosynthesis.

evolutionary biology↗

A Reinforcement Learning Model with Choice Traces for a Progressive Ratio Schedule

The progressive ratio (PR) lever-press task serves as a benchmark for assessing goal-oriented motivation. However, a well-recognized limitation of the PR task is that only a single data point, known as the breakpoint, is obtained from an entire session as a barometer of motivation. Because the breakpoint is defined as the final ratio of responses achieved in a PR session, variations in choice behavior during the PR task cannot be captured. We addressed this limitation by constructing four reinforcement learning models: a Simple Q- learning model, an Asymmetric model with two learning rates, a Perseverance model with choice traces, and a Perseverance model without learning. These models incorporated three behavioral choices: reinforced and non-reinforced lever presses and void magazine nosepokes (MNPs), because we noticed that mice performed frequent MNPs during PR tasks. The best model was the Perseverance model, which predicted a gradual reduction in amplitudes of reward prediction errors (RPEs) upon void MNPs. We confirmed the prediction experimentally with fiber photometry of extracellular dopamine (DA) dynamics in the ventral striatum of mice using a fluorescent protein (genetically encoded GPCR activation-based DA sensor: GRABDA2m). We verified application of the model by acute intraperitoneal injection of low-dose methamphetamine (METH) before a PR task, which increased the frequency of MNPs during the PR session without changing the breakpoint. The Perseverance model captured behavioral modulation as a result of increased initial action values, which are customarily set to zero and disregarded in reinforcement learning analysis. Our findings suggest that the Perseverance model reveals effects of psychoactive drugs on choice behaviors during PR tasks.

neuroscience↗

Deciphering the Genomes of Motility-Deficient Mutants of Vibrio alginolyticus 138-2

The motility of Vibrio species plays a pivotal role in their survival and adaptation to diverse environments, and is intricately associated with pathogenicity in both humans and aquatic animals. Numerous mutant strains of Vibrio alginolyticus have been generated using UV or EMS mutagenesis to probe flagellar motility using molecular genetic approaches. Identifying these mutations promises to yield valuable insights into motility at the protein structural physiology level. In this study, we conducted an exhaustive analysis of the genomic structures of laboratory Vibrio strains that served as reference specimens. This assemblage notably encompassed the progenitor strain V. alginolyticus 138-2, alongside two strains displaying deficiencies in the lateral flagella (VIO5 and YM4) and one evincing a deficiency in the polar flagella (YM19). Subsequently, we meticulously ascertained the specific mutation sites within the 18 motility-deficient strains whose parents could be traced back to VIO5 or YM4. The identified mutations were conclusively localized within well-established flagella-related genes, providing a coherent rationale for the phenotypic traits exhibited by each motility-deficient mutant. In addition to these motility-related mutations, an average of 20 additional mutations was detected in each mutant strain. Genomic analysis of many mutants is a highly effective tool for comprehensively identifying genes related to specific phenotypes using forward genetics. IMPORTANCEBacteria of the Vibrio species rely on their motility for survival, adaptation, and pathogenicity. Identifying specific changes in the genome of non-motile mutants can help understand the genes that regulate flagella and motility in these bacteria. Herin, we sequenced the genome of Vibrio alginolyticus 138-2 strain and other motility defective strains and identified most of the mutations to be within genes encoding flagella. Additionally, we also provide a coherent rationale for the motility deficiency in these mutants. We believe that this study could provide a framework for genome sequencing-based methods for studying molecular functions in bacteria.

microbiology↗

Biallelic variants in LARS1 induce steatosis in developing zebrafish liver via enhanced autophagy

Acute liver failure is a life-threatening condition during infancy. Biallelic pathogenic variants in LARS1 cause infantile liver failure syndrome type 1 (ILFS1), which is characterized by acute hepatic failure in infants. LARS functions as a protein associated with mTORC1 and plays a crucial role in amino acid-triggered mTORC1 activation and autophagy regulation. A previous study demonstrated that larsb-knockout zebrafish show a condition resembling ILFS. However, a comprehensive analysis of larsb-knockout zebrafish has not yet been performed because of early mortality. We herein generated a long-term viable zebrafish model carrying a LARS1 variant identified in an ILFS1 patient (larsb-I451F zebrafish) and analyzed the pathogenesis of the affected liver of ILFS1. Hepatic dysfunction is most prominent in ILFS1 patients during infancy; correspondingly, the larsb-I451F zebrafish manifested hepatic anomalies during the developmental stages. The larsb-I451F zebrafish demonstrates augmented lipid accumulation within the liver under autophagy activation. Inhibition of DGAT1, which converts fatty acids to triacylglycerols, improved lipid droplets in the liver of larsb-I451F zebrafish. Notably, treatment with an autophagy inhibitor ameliorated hepatic lipid accumulation in this model. Our findings suggested that enhanced autophagy caused by biallelic LARS1 variants contributes to ILFS1-associated hepatic dysfunction. Furthermore, the larsb-I451F zebrafish model, which has a prolonged survival rate compared to the larsb-knockout model, highlights its potential utility as a tool for investigating the pathophysiology of ILFS1-associated liver dysfunction. Author SummaryInfantile liver failure (ALF) is a rare but life-threatening condition primarily caused by various genetic and infectious factors during infancy. Comprehensive research into its causes is crucial for treatment decisions, including liver transplantation and supportive interventions. While specific therapies exist for some conditions, a significant proportion of infant ALF cases remains unresolved. Recent advances in genetic sequencing have identified congenital disorders, particularly involving the LARS1 gene, as contributors to ALF. LARS1 is essential for regulating processes related to amino acids and autophagy. To better understand this condition, we created a zebrafish model carrying specific LARS1 gene variants seen in ALF patients. These zebrafish displayed liver abnormalities similar to those observed in infants with ALF. Our study revealed that enhanced autophagy, triggered by biallelic LARS1 variants, plays a significant role in liver dysfunction associated with ALF. Notably, inhibiting specific enzymes involved in fat metabolism and autophagy showed promising results in reducing hepatic lipid accumulation in our zebrafish model. This research provides insights that may lead to improved understanding and potential treatments for this devastating condition.

cell biology↗

The dgc2 gene encoding di-guanylate cyclase suppresses both motility and biofilm formation in the filamentous cyanobacterium Leptolyngbya boryana.

Colony pattern formations of bacteria with motility manifest complicated morphological self-organization phenomena. Leptolyngbya boryana is the filamentous cyanobacterial species, which has been used as a genetic model organism for studying metabolism including photosynthesis and nitrogen-fixation. Although a widely used type strain (wild type) of this species has not been reported to show any motile activity, we isolated a spontaneous mutant strain which shows active motility (gliding activity) to give rise to complicated colony patters, including comet-like wandering clusters and disk-like rotating vortices on solid media. Whole-genome resequencing identified multiple mutations on the genome in the mutant strain. We confirmed that inactivation of a candidate gene, dgc2 (LBDG_02920), in the wild type background was sufficient to give rise to motility and the morphological colony patterns. This gene encodes a protein, containing the GGDEF motif, which is conserved at the catalytic domain of diguanylate cyclase (DGC). Although DGC has been reported to be involved in biofilm formation, the mutant strain lacking dgc2 significantly facilitated biofilm formation, suggesting a role of DGC for suppressing both gliding motility and biofilm formation. Thus, L. boryana provides an excellent genetic model to study dynamic colony pattern formation, and novel insight on a role of c-di-GMP for biofilm formation. ImportanceSelf-propelled bacteria often show complicated collective behaviors, such as the formation of dense moving clusters, which is exemplified by wandering comet-like and rotating disk-like colonies, while molecular details of forming such structures remain limited. We found that a strain deficient in the diguanylate cyclase gene dgc2 in the filamentous cyanobacterium L. boryana induces motility, complex and dynamic colony pattern formation including the comet-like and disk-like clusters. While c-di-GMP has been reported to activate biofilm formation in some bacterial species, disruption of the dgc2 gene unexpectedly enhanced it, providing a novel role for c-di-GMP regulatory system in both colony pattern formation and biofilm formation.

microbiology↗

Unidirectional ion transport mechanism of a light-driven chloride pump revealed using X-ray free electron lasers

Light-driven chloride-pumping rhodopsins actively transport anions, including various halide ions, across cell membranes. Recent studies using time-resolved serial femtosecond crystallography (TR-SFX) have uncovered the structural changes and ion transfer mechanisms in light-driven cation-pumping rhodopsins. However, the mechanism by which the conformational changes pump an anion to achieve unidirectional ion transport, from the extracellular side to the cytoplasmic side, in anion-pumping rhodopsins remains enigmatic. We have collected TR-SFX data of Nonlabens marinus rhodopsin-3 (NM-R3), derived from a marine flavobacterium, at 10 s and 1 ms time-points after photoexcitation. Our structural analysis reveals the conformational alterations during ion transfer and after ion release. Movements of the retinal chromophore initially displace a conserved tryptophan to the cytoplasmic side of NM-R3, accompanied with a slight shift of the halide ion bound to the retinal. After ion release, the inward movements of helix C and helix G and the lateral displacements of the retinal block access to the extracellular side of NM-R3. Anomalous signal data have also been obtained from NM-R3 crystals containing iodide ions. The anomalous density maps provide insight into the halide binding site for ion transfer in NM-R3. SignificanceLight-driven chloride pumps have been identified in various species, including archaea and marine flavobacteria. The function of ion transportation controllable by light is utilized for optogenetics tools in neuroscience. Chloride pumps differ among species, in terms of amino acid homology and structural similarity. Our time-resolved crystallographic studies using X-ray free electron lasers reveal the molecular mechanism of halide ion transfer in a light-driven chloride pump from a marine flavobacterium. Our data indicate a common mechanism in chloride pumping rhodopsins, as compared to previous low temperature trapping studies of chloride pumps. These findings are significant not only for further improvements of optogenetic tools but also for a general understanding of the ion pumping mechanisms of microbial rhodopsins.

molecular biology↗

Construction of transcript regulation mechanism prediction models based on binding motif environment of transcription factor AoXlnR in Aspergillus oryzae

Recent study revealed that there are thousands of genes that remain unaffected by increased AoXlnR expression, despite the presence of one or more AoXlnR-binding motifs in their promoter region. Given this knowledge, we designed this study to construct several predictive models for determining whether a gene can exhibit a differential response to changes in AoXlnR expression. These models were constructed using 3D DNA shape information determined using the sequence around the AoXlnR binding motifs with classification as functional or nonfunctional. These models were created using a support vector machine followed by the evaluations designed to determine whether these DNA shape-based models can correctly classify functional motifs in terms of area under the receiver operating characteristic curve. The results showed that the differential expression levels of genes located downstream of the AoXlnR motif are closely related to specific DNA shape information around the binding motifs. Furthermore, we found that the parameters contributing to differential expressions differed depending on the number of motifs in the promoter region by comparing the prediction models using regions with only one binding DNA motif and those with multiple binding DNA motifs. Author SummaryDNA-binding transcription factors (TFs) play a central role in transcriptional regulation mechanisms, mainly through their specific binding to target sites on the genome and regulation of the expression of downstream genes. Therefore, a comprehensive analysis of the function of these TFs will lead to the understanding of various biological mechanisms. However, the functions of TFs in vivo are diverse and complicated, and the identified binding sites on the genome are not necessarily involved in the regulation of downstream gene expression. In this study, we investigated whether DNA structural information around the binding site of transcription factors can be used to predict the involvement of the binding site in the regulation of the expression of genes located downstream of the binding site. Specifically, we calculated the structural parameters based on the DNA shape around the DNA binding motif located upstream of the gene whose expression is directly regulated by the transcription factor AoXlnR from Aspergillus oryzae, and showed that the presence or absence of expression regulation can be predicted from the sequence information with high accuracy by machine learning incorporating these parameters.

genomics↗

Presynaptic MAST Kinase Controls Bidirectional Post-SynapticResponses to Convey Stimulus Valence in C. elegans

Presynaptic plasticity is known to modulate the strength of synaptic transmission. However, it remains unknown whether regulation in presynaptic neurons alters the directionality -positive or negative-of postsynaptic responses. We report here that the C. elegans homologs of MAST kinase, Stomatin and Diacylglycerol kinase act in a thermosensory neuron to elicit in its postsynaptic neuron an excitatory or inhibitory response that correlates with the valence of thermal stimuli. By monitoring neural activity of the valence-coding interneuron in freely behaving animals, we show that the alteration between excitatory and inhibitory responses of the interneuron is mediated by controlling the balance of two opposing signals released from the presynaptic neuron. These alternative transmissions further generate opposing behavioral outputs necessary for the navigation on thermal gradients. Our findings reveal the previously unrecognized capability of presynaptic regulation to evoke bidirectional postsynaptic responses and suggest a molecular mechanism of determining stimulus valence.

neuroscience↗

SLO potassium channels antagonize premature decision making in C. elegans

SummaryAnimals have to modify their behavior at the right timing to respond to changes in environments. Yet, the molecular and neural mechanisms regulating the timing of behavioral transition remain largely unknown. Performing forward genetics on a plasticity of thermotaxis behavior in C. elegans, we demonstrated that SLO potassium channels together with a cyclic nucleotide-gated channel CNG-3 determine the timing of the transition of temperature preference after shift of cultivation temperature. We further revealed that SLO and CNG-3 channels regulate the alteration in responsiveness of thermosensory neurons. Our results suggest that the regulation of sensory adaptation is a major determinant of the latency for animals to make decisions in changing behavior.\n\nHighlightsO_LISlo-1 and SLO-2 K+ channels decelerated transition of temperature preference in thermotaxis behavior after upshift of cultivation temperature\nC_LIO_LISLO K+ channels slowed down the adaptation of AFD thermosensory neuron to new cultivation temperature\nC_LIO_LIA cyclic nucleotide-gated channel CNG-3 functioned together with SLO-2\nC_LIO_LIThermotaxis serves as could be a model system for early onset epilepsies\nC_LI

neuroscience↗