Digital Analysis Research Articles

Comparative muscle anatomy of the anuran pelvis and hindlimb in relation to locomotor mode.

Frogs have a highly conserved body plan, yet they employ a diverse array of locomotor modes, making them ideal organisms for investigating the relationships between morphology and locomotor function, in particular whether anatomical complexity is a prerequisite for functional complexity. We use diffusible iodine contrast-enhanced microCT (diceCT) imaging to digitally dissect the gross muscle anatomy of the pelvis and hindlimbs for 30 species of frogs representing five primary locomotor modes, including the first known detailed dissection for some of the world's smallest frogs, forming the largest digital comparative analysis of musculoskeletal structure in any vertebrate clade to date. By linking musculoskeletal dissections and phylogenetic comparative methods, we then quantify and compare relationships between anatomy and function across over 160 million years of anuran evolution. In summary, we have found that bone lengths and pelvic crest sizes are generally not reliable predictors of muscle sizes, which highlights important implications for future palaeontological studies. Our investigation also presents previously unreported differences in muscle anatomy between frogs specialising in different locomotor modes, including several of the smallest frog hindlimb muscles, which are extremely difficult to extract and measure using traditional approaches. Furthermore, we find evidence of many-to-one and one-to-many mapping of form to function across the phylogeny. Additionally, we perform the first quantitative analysis of how the degree of muscle separation can differ between frogs. We find evidence that phylogenetic history is the key contributing factor to muscle separation in the pelvis and thigh, while the separation of shank muscles is influenced more strongly by locomotor mode. Finally, our anatomical 3D reconstructions are published alongside this manuscript to contribute towards future research and serve as educational materials.

Mix-and-Read Digital MicroRNA Analysis Based on Flow Cytometric Counting of Target-Clicked Nanobead Dimer.

A one-step, enzyme-free, and highly sensitive digital microRNA (miRNA) assay is rationally devised based on flow cytometric counting of target miRNA-clicked nanobead dimers via a facile mix-and-read manner. In this strategy, highly efficient miRNA-sandwiched click chemical ligation of two DNA probes may remarkably stabilize and boost the dimer formation between two kinds of fluorescence-coded nanobeads, and the number of as-produced bead dimers will be target dose-responsive, particularly when the trace number of miRNA is much less than that of employed nanobeads. Finally, each fluorescence-coded bead dimer can be easily identified and digitally counted by a powerful flow cytometer (FCM) and accordingly, the amount of target miRNA can be accurately quantified in a digital way. This new digital miRNA assay can be accomplished with a facile mix-and-read operation just by simply mixing the target miRNA with two kinds of preprepared DNA probe-functionalized nanobeads, which do not require any nucleic acid amplification, purification, and complex operation procedures. In spite of the extremely simple one-step operation, benefiting from the low-background but high target-mediated click ligation efficiency, and the powerfully digital statistical capability of FCM, this strategy achieves high sensitivity with a quite low detection limit of 5.2 fM target miRNA as well as high specificity and good generality for miRNA analysis, pioneering a new direction for fabricating digital bioassays.

Optimization Effectiveness of Multi-Intelligence Consistent Energy System Based on Digital Advertising and Data Analysis

This paper introduces a novel approach to address the issue of overestimation of state-action values in reinforcement learning algorithms based on the Q-framework. It integrates a dual-layer Q-learning algorithm with a grey wolf intelligent optimization method, enabling rapid search for optimal allocations in unknown search spaces. This integration results in the development of a multi-agent collaborative Area-Grid Coordination (A-GC) strategy, termed the grey wolf double Q (GWDQ) strategy, tailored for multi-area energy interconnection scenarios. The proposed GWDQ strategy is evaluated through simulation experiments on comprehensive energy system models, including mixed gas turbine systems, Combined Cooling, Heating, and Power (CCHP) systems, and a multi-area energy-interconnected Northeast power grid model. A centralized architecture is established to analyze the optimization effects of digital advertising. The performance of the GWDQ strategy is compared with traditional reinforcement learning algorithms through simulation and empirical data validation. Results indicate that the GWDQ strategy exhibits stronger learning capabilities, improved stability, and enhanced control performance compared to traditional methods. It demonstrates superior optimization for digital advertising and enables swift acquisition of optimal coordination in A-GC processes across multiple regions. Additionally, the paper analyzes the environmental and economic impacts of the proposed strategy.

Evaluating the Application of Construction Projects Management Methodologies during Construction Projects Execution in Charities Organization

Over the past four decades, particularly in the Arabian Gulf region, there has been a significant increase of non-governmental charitable institutions leading to a wide spread of their humanitarian assistance, social services and diverse construction projects in impoverished and developing countries. Successful implementation of charitable construction projects requires proficient leadership, administrative accumen, and scientific expertise to achieve project objectives in terms of scope, time, cost and quality. This study delves into existing research on extrapolation, utilizating both quantitative and qualitative approaches using digital statistical analysis. By examining all the resolution points and axes, a set of essential criteria has been identified. The criteria can be considered as successful benchmarks for charitable organizations aiming to enhance the implementation of their construction projects.

Atacama desert is a source of new Micromonospora strains: description of Micromonospora sicca sp. nov

Several strains were isolated from subsurface soil of the Atacama Desert and were previously assigned to the Micromonospora genus. A polyphasic study was designed to determine the taxonomic affiliation of isolates 4G51T, 4G53, and 4G57. All the strains showed chemotaxonomic properties in line with their classification in the genus Micromonospora, including meso-diaminopimelic acid in the cell wall peptidoglycan, MK-9(H4) as major respiratory quinone, iso-C15:0 and iso-C16:0 as major fatty acids and diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylinositol as major polar lipids. The 16S rRNA gene sequences of strains 4G51T, 4G53, and 4G57 showed the highest similarity (97.9 %) with the type strain of Micromonospora costi CS1-12T, forming an independent branch in the phylogenetic gene tree. Their independent position was confirmed with genome phylogenies, being most closely related to the type strain of Micromonospora kangleipakensis. Digital DNA-DNA hybridization and average nucleotide identity analyses between the isolates and their closest phylogenomic neighbours confirmed that they should be assigned to a new species within the genus Micromonospora for which the name Micromonospora sicca sp. nov. (4G51T=PCM 3031T=LMG 30756T) is proposed.

Identification of key genes with abnormal RNA methylation modification and selected m6A regulators in ankylosing spondylitis.

N6-methyladenosine (m6A) has been identified as the most abundant modification of RNA molecules and the aberrant m6A modifications have been associated with the development of autoimmune diseases. However, the role of m6A modification in ankylosing spondylitis (AS) has not been adequately investigated. Therefore, we aimed to explore the significance of m6A regulator-mediated RNA methylation in AS. The methylated RNA immunoprecipitation sequencing (meRIP-seq) and digital RNA sequencing (Digital RNA-seq) were conducted using the peripheral blood mononuclear cells from three AS cases and three healthy controls, to identify genes affected by abnormal RNA methylation. The genes associated with different peaks were cross-referenced with AS-related genes obtained from the GeneCards Suite. Subsequently, the expression levels of shared differentially expressed genes (DEGs) and key m6A regulators in AS were evaluated using data from 68 AS cases and 36 healthy controls from two data sets (GSE25101 and GSE73754). In addition, the results were validated through quantitative polymerase chain reaction (qPCR). The meRIP-seq and Digital RNA-seq analyses identified 28 genes with upregulated m6A peaks but with downregulated expression, and 52 genes with downregulated m6A peaks but with upregulated expression. By intersecting the genes associated with different peaks with 2184 AS-related genes from the GeneCards Suite, we identified a total of five shared DEGs: BCL11B, KAT6B, IL1R1, TRIB1, and ALDH2. Through analysis of the data sets and qPCR, we found that BCL11B and IL1R1 were differentially expressed in AS. Moreover, two key m6A regulators, WTAP and heterogeneous nuclear ribonucleoprotein C, were identified. In conclusion, the current study revealed that m6A modification plays a crucial role in AS and might hence provide a new treatment strategy for AS disease.

Instrumental Occlusal Analysis in Migraine Patients: A Quantitative Cross Sectional Study.

This study aimed to investigate possible differences of functional occlusal variables between a group of migraine patients (MG) and a control group (CG). Each group included 50 individuals. Instrumental functional analysis and digital occlusal analysis were performed. Variables examined were condylar displacement from a reference position to maximum intercuspation; angular difference between the steepness of the articular eminence and the contra-lateral canine guidance; and angular difference between the steepness of the articular eminence and the ipsilateral central incisor guidance and occlusal plane inclination. Self-reported grinding and occlusal index were also investigated. There were statistically significant differences in the extent of retral condylar displacement assessed both clinically [MG: 0.49 mm (SD 0.67 mm), CG: 0.29 mm (SD 0.27 mm), p = 0.012] and digital-mechanically [MG: 1.53 mm (SD 0.95 mm), CG: 0.9 mm (SD 0.66 mm), p = 0.001], the angular difference between the steepness of the articular eminence and the contra-lateral canine guidance [MG: 13.11° (SD 8.33°), CG: 9.47° (SD 7.08°), p = 0.021 and MG: 12.94° (SD 8.71°), CG: 9.44° (SD 8.70°), p = 0.017], and the occlusal plane inclination [MG: 11.16° (SD 4.66°), CG: 9.09° (SD 4.37°), p = 0.024]. Self-reported grinding (MG: 39/50, CG: 12/50, p < 0.001) and occlusal index [MG: 1.92 (SD 0.46), CG: 0.21 (SD 0.66), p < 0.001] were also significantly higher in migraineurs. Articular and occlusal structures could play a role in migraine and thus should be considered in an interdisciplinary approach.

48. Validation of a digital FISH analysis workflow for multiple myeloma

48. Validation of a digital FISH analysis workflow for multiple myeloma

Digital Marketing Metrics and ROI Analysis: Evaluating Effectiveness and Value

In the rapidly evolving landscape of digital marketing, businesses are increasingly focusing on measuring the effectiveness of their strategies and evaluating the return on investment (ROI) to optimize their marketing efforts. This paper explores the critical metrics and methodologies used to assess digital marketing performance and ROI. Key performance indicators (KPIs) such as website traffic, social media engagement, email open rates, and paid advertising costs are examined for their role in providing actionable insights. The paper also delves into advanced ROI analysis techniques, including basic ROI calculations, customer lifetime value (CLV), and attribution models, to demonstrate how businesses can accurately measure the impact of their digital marketing investments. Through detailed case studies, this paper highlights practical applications of these metrics and analysis methods, showcasing their effectiveness in real-world scenarios. Challenges associated with digital marketing measurement, such as data accuracy and attribution complexities, are discussed, along with best practices for overcoming these obstacles. The findings underscore the importance of a comprehensive approach to digital marketing metrics and ROI analysis, providing businesses with the tools and insights necessary to enhance their marketing strategies and achieve sustainable growth. This paper contributes to a deeper understanding of how digital marketing metrics can be effectively used to drive decision-making and maximize marketing value.

Analysis of long-term and short-term bankline stability prediction considering seasonal variations: A study in lower Ganga Basin, India

River bank instability in the lower Ganga plain has been a major concern since the early 1850s due to its huge catchment flux and transboundary character, especially in the districts of Malda and Murshidabad. This study examines the seasonal dynamics of banklines in the upper and lower Farakka regions. The study assesses seasonal changes in the lower Ganga regions over 68 years (1955–2022) and projects trends for the next 22 years (2022–2044) using a GIS-based Digital Shoreline Analysis System (DSAS) approach. Long-term erosion prevails on the left bank at −19.38 ± 2.83 m yr^-1 (LRR method), with 38.61 % of transects showing a significant (p < 0.05) erosional rate, covering 58.85 % of total erosional transects. The right bank experiences accretion at a rate of 6.82 ± 2.83 m yr^-1, with 27.66 % of transects showing a significant erosional rate, covering 46.10 % of total erosional transects. Short-term fluctuations show erosion-accretion values surpassing the 50 % threshold, highlighting dominant erosion in 1975–1980 and 1985–2015. The non-cyclic erosion-accretion nature unveils erosional processes in 1975–2000 and 2010–2015 and accretional processes in 2000–2010 and 2015–2021 on the right bank during the monsoon season. The dynamics of the projected bank lines exhibit an accretional tendency over the right bank and an erosional trend over the left. Moreover, a strong correlation between the actual and expected bank lines is shown by the R2 value surpassing 0.95 for all seasons on both the left and right banks. The erosional trends are evident in Chachunda at a rate of −152.45 ± 198.92 m yr^-1, while Loharpur and Shikdarpur exhibit erosional rates of −237.88 ± 211.30 m yr^-1 and −243.59 ± 207.91 m yr^-1, respectively, in the lower Farakka. The seasonal long-term and short-term analyses are influenced by various forcing mechanisms like high sediment flux, enormous discharge, and drastic anthropogenic intervention that drives changing foci of erosion and accretion.

Simultaneous detection of membrane protein and mRNA at single extracellular vesicle level by droplet microfluidics for cancer diagnosis

IntroductionSimultaneous detection of proteins and mRNA within a single extracellular vesicle (EV) enables comprehensive analysis of specific EVs subpopulations, significantly advancing cancer diagnostics. However, developing a sensitive and user-friendly approach for simultaneously detecting multidimensional biomarkers in single EV is still challenging. ObjectivesTo facilitate the analysis of multidimensional biomarkers in EVs and boost its clinical application, we present a versatile droplet digital system facilitating the concurrent detection of membrane proteins and mRNA at the single EV level with high sensitivity and specificity. MethodsThe antibody-DNA conjugates were firstly prepared for EVs protein biomarkers recognition and signal transformation. Coupling with the assembled triplex droplet digital PCR system, a versatile droplet digital analysis assay for simultaneous detection of membrane protein and mRNA at a single EV level was developed. ResultsOur new droplet digital system displayed high sensitivity and specificity. Additionally, its clinical application was validated in a breast cancer cohort. As expected, this assay has demonstrated superior performance in distinguishing breast cancer from healthy individuals and benign controls through combined detection of EVs protein and mRNA markers compared to any single kind marker detections, especially for patients with breast cancer at early stage (AUC=0.9229). ConclusionConsequently, this study proposes a promising strategy for accurately identifying and analyzing specific EV subgroups through the co-detection of proteins and mRNA at the single EV level, holding significant potential for future clinical applications.

Fibroblast activation protein is a cellular marker of fibrotic activity in canine idiopathic pulmonary fibrosis.

Canine idiopathic pulmonary fibrosis (CIPF) is a progressive fibrotic interstitial lung disease of unknown etiology, afflicting aging West Highland white terriers (WHWTs) and leading to progressive respiratory failure. Fibroblast activation protein (FAP), a protease overexpressed in many cancers, is upregulated in idiopathic pulmonary fibrosis in humans. The aim of this study was to investigate FAP as a marker of active fibrosis in lung biopsies from WHWTs affected with CIPF, as well as the potential of plasmatic FAP as a biomarker. After establishing a scoring system to evaluate the severity and activity of fibrosis on histopathological lung sections, anti-FAP immunohistochemistry was performed on healthy and CIPF samples. FAP expression was characterized using both visual and digital quantitative pathology software analyses and then correlated to fibrosis severity and activity. Levels of plasmatic FAP in WHWTs affected with CIPF were measured by enzyme-linked immunosorbent assay and compared with healthy dogs. Lung samples from 22 WHWTs affected with CIPF were collected. According to the fibrosis scoring system, they were classified as cases of mild (5), moderate (9) and severe (8) fibrosis and were attributed scores of fibrosis activity. Fifteen healthy lung samples were classified as non-fibrotic. Healthy lung samples were FAP-negative, whereas fibroblasts were FAP-positive in 20 CIPF samples. FAP immunohistochemical expression correlated mildly with fibrosis severity (p < 0.05; R 2 = 0.22) but highly with fibrosis activity scores (p < 0.001; R 2 = 0.68). Digital image analysis detected a higher percentage of FAP-positive cells in areas of active fibrosis (p < 0.001) and FAP-positive cells were distributed outside mature fibrosis lesions, clustered in active fibrosis areas or scattered within alveolar septa. On the other hand, plasmatic FAP was significantly lower in dogs affected with CIPF compared with healthy dogs (p < 0.01). In conclusion, this study provides a valuable histological scoring system to assess the severity and activity of fibrosis in CIPF. It demonstrates that FAP is a good cellular marker of fibrotic activity in CIPF, and thus constitutes a promising target to be exploited for diagnostic and therapeutic applications. Additionally, it suggests that plasmatic FAP, although non-specific, could be altered in CIPF.

The Influence of AI Painting on Traditional Digital Painting and Comparative Analysis of the Advantages and Disadvantages

With the emergence and development of computer technology, digital technologies such as image processing, image editing, image synthesis, and digital painting have become increasingly mature. After entering the computer age, they have also become a new media technology, and with the progress of digital technology, corresponding diverse branches have continuously emerged. As the influence of modern and contemporary art gradually expands, the public's mastery of digital technology gradually matures, and artists also begin to create art through digital technology and other forms. This paper first analyzes the background and rise of digital painting, and then compares and analyzes the differences between digital painting and traditional painting. Then, it analyzes the advantages and disadvantages of the application of AI painting in the field of art and the use process. Finally, the irreplaceability of digital painting is summarized. Although artificial intelligence has brought some convenience in painting and reduced the amount of engineering brought by repeated painting, it cannot completely replace digital painting.

MULTI-CHANNEL MUELLER-MATRIX TOMOGRAPHY AS A METHOD OF DETERMINING THE VOLUME OF BLOOD LOSS IN FORENSIC MEDICAL PRACTICE

In connection with the extreme urgency of determining the volume of blood loss during the forensic examination of a corpse, the authors proposed a modern digital analysis method - multichannel Muller matrix tomography of human biological tissues. Aim of the work. To develop a complex of forensic criteria for accurate determination of the volume of blood loss using the method of multichannel polarization Müller-matrix tomography of histological sections of structured biological tissues (rectus abdominis muscle, skin). Material and methods. For the study, rectus abdominis muscle and skin samples were taken from 85 deceased individuals aged 18 to 56 years with varying degrees of blood loss. The results. The proposed method of researching changes in the values ​​of linear birefringence of fibrillar structures of the rectus abdominis muscle and skin of of cadavers as a result of acute internal and external blood loss showed the possibility of accurate determination within the volume of 0±2000 mm3. Conclusions. The method of multichannel differential Müller-matrix tomographic reproduction of a set of linear birefringence maps and histograms of distributions of random values ​​of the structural anisotropy parameter of histological sections of the rectus abdominis muscle and skin of the dead with different degrees of blood loss is sensitive within ΔV=0mm3÷2500mm3. The accuracy ranges of the multi-channel tomographic reproduction of LD maps within the range of ΔV=0mm3÷1000mm3 ↔86%-92% have been determined.

Mesorhizobium retamae sp. nov., a novel non-nodulating and non-nitrogen-fixing species isolated from the root nodules of Retama raetam sampled in Tunisia.

A comprehensive polyphasic taxonomic investigation integrating taxongenomic criteria was conducted on strain IRAMC:0171T isolated from the root nodules of Retama raetam in Tunisia. This Gram-stain-negative and aerobic bacterium thrived within a temperature range of 5-45 °C, optimal at 28 °C, and tolerated salt concentrations from 0-6 % NaCl, with an optimal range of 0-3 %. It displayed pH tolerance from pH 4 to 10, thriving best at pH 6.8-7.5. Chemotaxonomically, strain IRAMC:0171T was characterized by diphosphatidylglycerol, phosphatidylglycerol, phosphatidylcholine, and phosphatidylethanolamine as polar lipids. Its predominant fatty acid composition was C18 : 1 ω7c (61.2 %), and the primary ubiquinone was Q10 (97 %). Analysis of the 16S rRNA gene of strain IRAMC:0171T showed 99.08 % similarity to Mesorhizobium waimense ICMP 19557T, Mesorhizobium amorphae ACCC 19665T, and Mesorhizobium huakuii IAM 14158. However, digital DNA-DNA hybridization and average nucleotide identity analyses revealed values ranging from 21.1 to 25.2 % and 77.05 to 82.24 %, respectively, signifying significant deviation from established species demarcation thresholds. Phylogenetic studies, encompassing 16S rRNA, whole-genome-based tree reconstruction, and core protein analysis, positioned strain IRAMC:0171T closest to Mesorhizobium terrae KCTC 72278T and 'Mesorhizobium hungaricum' UASWS1009T, forming together a distinct branch within the genus Mesorhizobium. In consideration of this comprehensive data, we propose strain IRAMC:0171T (=DSM 112841T=CECT 30767T) as the type strain of a new species named Mesorhizobium retamae sp. nov.

Compression test and size effect study of defective wood

ABSTRACT Wood, as a natural material, inevitably contains initial defects such as knots, cracks, and decay, which are important factors affecting its mechanical properties and cannot be ignored. In order to investigate the influence of initial defects on the compressive mechanical properties of wood, Norway spruce was selected as the research object. Wood specimens without and with initial defects were prepared, and uniaxial compression tests were conducted. Combined with Digital Image Correlation (DIC) and finite element analysis, the compressive mechanical properties of defective wood were studied. The results showed that compared to defect-free specimens, specimens with defects exhibited a shortened elastic stage in the load-displacement curve, and the rate of decrease in load after reaching the peak was lower than that of defect-free specimens. For specimens of the same size, the compressive strength of specimens with defects was lower than that of defect-free specimens. The established finite element model could effectively simulate the compressive failure process of wood with initial defects, validating the effectiveness of numerical simulation. Bažant's size effect theory can be used for size effect analysis of the compressive strength of wood with initial defects in the longitudinal direction.

Optimization of SME Marketing Strategies through Digital Data-Based Customer Profitability Analysis: A Case Study of SMEs in the Former Surakarta Residency

Optimization of SME Marketing Strategies through Digital Data-Based Customer Profitability Analysis: A Case Study of SMEs in the Former Surakarta Residency

The Buerger’s rabbit model: a closer step to unravelling thromboangiitis obliterans?

ObjectiveThromboangiitis obliterans (TAO) remains clinical challenging due to its rarity and underwhelming management outcomes. This study aimed to describe a novel TAO rabbit model that demonstrates a closer resemblance to TAO.MethodsThirty-six New Zealand rabbits underwent the surgical implantation of calibrated gelatin sponge particles (CGSPs) into their right femoral artery. The CGSPs were soaked in different solutions to simulate different types of thrombi: normal (NT; normal saline); inflammatory TAO thrombus (TAO; dimethylsulfoxide [DMSO]), and DMSO with methotrexate (MTX). All groups underwent clinical assessment, digital subtraction angiography (DSA) and histopathological analysis at time points day 0 (immediate), week 1 (acute), week 2 (subacute), and week 4 (chronic).ResultsThe TAO rabbit presented with signs of ischemia of the right digit at week 4. On DSA, the TAO rabbits exhibited formation of corkscrew collaterals starting week 1. On H&E staining, gradual CGSP degradation was observed along with increased red blood cell aggregation and inflammatory cells migration in week 1. On week 2, disorganization of the tunica media layer and vascular smooth muscle cell (VSMC) proliferation was observed. In the TAO rabbit, migrated VSMCs, inflammatory cells, and extracellular matrix with collagen-like substances gradually occluded the lumen. On week 4, the arterial lumen of the TAO rabbit was filled with relatively-organized VSMC and endothelial cell clusters with less inflammatory cells. Neorevascularization was found in the MTX-treated group.ConclusionThe novel TAO rabbit model shows a closer resemblance to human TAO clinically, radiographically, and histopathologically. Histological analysis of the IT progression in the TAO model suggests that it is of VSMC origin.

IoT Modeling for Digital Enterprises and Decision Analysis

IoT Modeling for Digital Enterprises and Decision Analysis

Ubiquity of methanogenic archaea in the trunk of coniferous and broadleaved tree species in a mountain forest.

Wetwood of living trees is a habitat of methanogenic archaea, but the ubiquity of methanogenic archaea in the trunk of various trees has not been revealed. The present study analysed methanogenic archaeal communities inside coniferous and broadleaved trees in a cold temperate mountain forest by culture-dependent or independent techniques. Heartwood and sapwood segments were obtained from the trunk of seven tree species, Cryptomeria japonica, Quercus crispula, Fraxinus mandshurica, Acer pictum, Aesculus turbinata, Magnolia obovata, and Populus tremula. Amplicon sequencing analysis of 16S rRNA genes showed that Methanobacteriaceae predominated the archaeal communities and Methanomassiliicoccaceae also inhabited some trees. Real-time PCR analysis detected methanogenic archaeal mcrA genes from all the tree species, with a maximum of 107copiesg-1 dry wood. Digital PCR analysis also detected mcrA genes derived from Methanobacterium spp. and Methanobrevibacter spp. from several samples, with a maximum of 105 and 104copiesg-1 dry wood. The enumeration by the most probable number method demonstrated the inhabitation of viable methanogenic archaea inside the trees; 106cellsg-1 dry wood was enumerated from a heartwood sample of C. japonica. Methanogenic archaea related to Methanobacterium beijingense were cultivated from a heartwood sample of Q. crispula and F. mandshurica. The present study demonstrated that the inside of various trees is a common habitat for methanogenic archaeal communities and a potential source of methane in forest ecosystems.