Biology subjects

Isobe, K.

Publications and source records attributed to Isobe, K..

4 recordsLinked to original sources

bioRxiv2026

Phylogenetic conservation of bacterial environmental responses predicts soil bacterial biogeographic patterns

Soil bacterial communities exhibit biogeographic patterns along environmental gradients, yet why some environmental factors contribute more strongly to community turnover than others remains poorly understood. Here, we tested whether this variation can be explained by the phylogenetic depth at which bacterial responses to each environmental factor are conserved. Across 40 forest sites in Japan spanning multiple soil and climatic gradients, environmental factors whose bacterial responses were conserved at deeper phylogenetic levels contributed more strongly to bacterial community turnover. We further asked whether phylogenetic clades that share similar environmental responses represent ecologically meaningful units for understanding bacterial community responses. Using soil pH as a focal test case, we found that response-defined clades improved prediction of taxon-level abundance shifts and community-level compositional shifts compared with models that treated taxa as independent units. Together, these findings show that the phylogenetic depth of bacterial environmental responses links trait conservation, community turnover and soil bacterial biogeographic patterns. Significance StatementSoil bacterial communities form biogeographic patterns along environmental gradients, but it remains unclear why some environmental factors drive stronger community turnover than others. This study shows that the strength of bacterial community turnover can be predicted from the phylogenetic depth at which bacterial responses to environmental factors are conserved. Across forest soils in Japan, deeply conserved bacterial responses were linked to stronger community turnover, and clades sharing conserved responses improved prediction of both taxon- and community-level shifts. These findings identify phylogenetically conserved response structure as an organizing principle for understanding and predicting soil bacterial biogeographic patterns.

ecology↗

bioRxiv2023

Insights into stereoselective ring formation in canonical strigolactone: Discovery of a dirigent domain-containing enzyme catalyzing orobanchol synthesis

Strigolactones (SLs) are plant apocarotenoids with diverse functions and structures. The widespread canonical SLs, with distinctive structural variations in their tricyclic lactone known as the ABC-ring, are classified into two types based on the C-ring configurations. The steric C-ring configuration arises during the BC-ring closure downstream of carlactonoic acid (CLA), a biosynthetic intermediate. Most plants stereoselectively produce either type of canonical SLs, e.g., tomato (Solanum lycopersicum) produces orobanchol with -oriented C-ring. The mechanisms governing SL structural diversification are partly understood, with limited insight into the functional implications. Moreover, the precise molecular mechanism for the stereoselective BC-ring closure reaction remains unknown. Herein, we identified an enzyme called the stereoselective BC-ring-forming factor (SRF) from the dirigent protein (DIR) family, especially the DIR-f subfamily, whose biochemical function was previously unidentified, making it a pivotal enzyme in stereoselective canonical SL biosynthesis with the -oriented C-ring. We begin by confirming the exact catalytic function of the tomato cytochrome P450 SlCYP722C, which we previously demonstrated to be involved in the orobanchol biosynthesis [Wakabayashi et al., Sci. Adv. 5, eaax9067 (2019)], to convert CLA to 18-oxocarlactonoic acid. Subsequently, we demonstrate that SRF catalyzes the stereoselective BC-ring closure reaction of 18-oxocarlactonoic acid to form orobanchol. Our approach integrates experimental and computational methods, including SRF structure prediction and molecular dynamics simulations, to propose a catalytic mechanism based on the conrotatory 4{pi}-electrocyclic reaction for stereoselective BC-ring formation in orobanchol. The present study provides insight into the molecular basis of how plants produce SLs with specific stereochemistry in a controlled manner.

plant biology↗

bioRxiv2021

A spike-sorting method based on hierarchical clustering to discriminate extracellularly recorded simple spikes and complex spikes from cerebellar Purkinje cells

BackgroundIn the cerebellar cortex, Purkinje cells are the only output neurons and exhibit two types of discharge. Most Purkinje cell discharges are simple spikes, which are commonly appearing action potentials exhibiting a rich variety of firing patterns with a rate of up to 400 Hz. More infrequent discharges are complex spikes, which consist of a short burst of impulses accompanied by a massive increase in dendritic Ca2+ with a firing rate of around 1 Hz. The discrimination of these spikes in extracellular single-unit recordings is not always straightforward, as their waveforms vary depending on recording conditions and intrinsic fluctuations. New MethodTo discriminate complex spikes from simple spikes in the extracellular single-unit data, we developed a semiautomatic spike-sorting method based on divisive hierarchical clustering. ResultsQuantitative evaluation using parallel in vivo two-photon Ca2+ imaging of Purkinje cell dendrites indicated that 96.6% of the complex spikes were detected using our spike-sorting method from extracellular single-unit recordings obtained from anesthetized mice. Comparison with Existing Method(s)No reports have conducted a quantitative evaluation of spike-sorting algorithms used for the classification of extracellular spikes recorded from cerebellar Purkinje cells. ConclusionsOur method could be expected to contribute to research in information processing in the cerebellar cortex and the development of a fully automatic spike-sorting algorithm by providing ground-truth data useful for deep learning. HighlightsO_LIA spike-sorting algorithm on hierarchical clustering was developed. C_LIO_LIIt was applied to extracellular recordings from cerebellar Purkinje cells. C_LIO_LIComplex and simple spikes were discriminated based on their waveforms. C_LIO_LISpike-sorting performance was quantified using in vivo Ca2+ imaging data. C_LIO_LIThe algorithm isolated over 96.6% of complex spikes. C_LI

neuroscience↗

bioRxiv2021

Mega-fire in Redwood Tanoak Forest Reduces Bacterial and Fungal Richness and Selects for Pyrophilous Taxa and Traits that are Phylogenetically Conserved

Mega-fires of unprecedented size, intensity, and socio-economic impacts have surged globally due to climate change, fire suppression, and development. Soil microbiomes are critical for post-fire plant regeneration and nutrient cycling, yet how mega-fires impact the soil microbiome remains unclear. We had a serendipitous opportunity to obtain pre- and post-fire soils from the same sampling locations because the 2016 Soberanes Fire, a mega-fire burning >500 Km2, burned with high severity throughout several of our established redwood-tanoak plots. This makes our study the first to examine microbial fire response in redwood-tanoak forests. We re-sampled soils immediately post-fire from two burned plots and one unburned plot to elucidate the effect of mega-fire on soil microbiomes. We used Illumina MiSeq sequencing of 16S and ITS1 to determine that both bacterial and fungal richness were reduced by 38-70% in burned plots, with richness unchanged in the unburned plot. Fire altered composition by 27% for bacteria and 24% for fungi, whereas the unburned plots experienced no change in fungal and negligible change in bacterial composition. We observed several pyrophilous taxa previously observed in Pinaceae forests, indicating that these microbes are likely general fire-responders across forest types. Further, the pyrophilous taxa that positively responded to fire were phylogenetically conserved, suggesting shared evolutionary traits. For bacteria, fire selected for increased Firmicutes and Actinobacteria. For fungi, fire selected for the Ascomycota classes Pezizomycetes and Eurotiomycetes and for a Basidiomycota class of heat-resistant Geminibasidiomycete yeasts. We hypothesize that microbes share analogous fire response to plants and propose a trait-based conceptual model of microbial response to fire that builds from Grimes Competitor-Stress tolerator-Ruderal framework (C-S-R) and its recent applications to microbes. Using this framework and established literature on several microbial species, we hypothesize some generalizable principals to predict which microbial taxa will respond to fire.

ecology↗