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opencc-zeroMay 2018View details →

VAMDC extraction with identifier = 0fd61e0e-2e5a-4c54-b5ab-c865271b0d87

<div>This is a dataset extracted from http://stark-b.obspm.fr/12.07/vamdc/tap/ VAMDC node.</div><div>Query originating this dataset: query=select * where ( atomsymbol = 'li' ); </div><div> Data source version: 2017-06-23</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 0fd61e0e-2e5a-4c54-b5ab-c865271b0d87</div>

opencc-by-4.0Nov 2022View details →

Haplotype analysis of GWAS candidates identified for root:shoot ratio changes under salt stress in Arabidopsis

The haplotype analysis was performed on 7 loci identified through GWAS by Magdalena Julkowska, while she was a PostDoc at KAUST, Saudi Arabia, workin in the lab of Dr. Mark Tester.

opencc-zeroNov 2022View details →

Expression of terminal deoxynucleotidyl transferase (TdT) identifies lymphoid-primed progenitors in human bone marrow

With emerging single-cell techniques in the human hematopoiesis, discrepancies between the traditional cell-surface-marker-based cell-type identification and their single-cell level molecular phenotype are observed. To better associate lymphoid identity with protein-level cell features, we examined the protein expression of terminal deoxynucleotidyl transferase (TdT), a specialized DNA polymerase intrinsic to VDJ recombination, and detected TdT expression within CD34+ progenitors prior to B/T cell emergence. While these TdT+ cells coincided with granulocyte-monocyte progenitor (GMP) immunophenotype, their accessible chromatin regions showed enrichment for lymphoid-associated transcription factor (TF) motifs. TdT expression on GMPs was inversely related to the SLAM family member CD84. Prospective isolation of CD84lo GMPs demonstrated robust lymphoid potential ex vivo, while still retaining significant myeloid differentiation capacity, akin to LMPPs. This multi-omic study identifies previously unappreciated lymphoid-primed progenitors, redefining the lympho-myeloid axis in human hematopoiesis.

opencc-zeroNov 2022View details →

Data for: Multi-omics analysis identifies symbionts and pathogens of blacklegged ticks (Ixodes scapularis) from a Lyme disease hotspot in southeastern Ontario, Canada

Ticks in the family Ixodidae are recognized as important vectors of zoonoses including Lyme disease (LD), which is caused by spirochete bacteria from the Borreliella (Borrelia) burgdorferi sensu lato (Bbsl) complex. The blacklegged tick (Ixodes scapulars) continues to expand across Canada, creating hotspots of elevated LD risk at the leading edge of its expansion range. Current efforts to understand the risk of pathogen transmission associated with I. scapularis in Canada focus primarily on targeted screens, while variation in the tick microbiome remains poorly understood. Using multi-omics consisting of 16S metabarcoding and ribosome-depleted, whole-shotgun RNA transcriptome sequencing, we examined the microbial communities associated with adult I. scapularis (N = 32), sampled from four tissue types (whole tick, salivary glands, midgut, and viscera) and three geographical locations within an LD hotspot near Kingston, Ontario. The communities consisted of both endosymbiotic and known or potentially pathogenic microbes, including RNA viruses, bacteria, and a Babesia sp. intracellular parasite. We show that β-diversity is significantly higher between individual tick salivary gland and midgut bacterial communities, compared to whole ticks; while linear discriminant analysis (LDA) effect size (LEfSe) determined that the three potentially pathogenic bacteria detected by V4 16S rDNA sequencing were also discriminatory for dissected tissues only, including a Borrelia from the Bbsl complex, Borrelia miyamotoi, and Anaplasma phagocytophilum. Importantly, we find co-infection of I. scapularis by multiple microbes, in contrast to diagnostic protocols for LD, which typically focus on infection from a single pathogen of interest (B. burgdorferi sensu stricto).

opencc-by-4.0Nov 2022View details →

Identifying mountain permafrost degradation by repeating historical ERT-measurements - supplement

Ongoing global warming affects the degradation of mountainous permafrost. Permafrost thawing impacts landform evolution, reduces fresh water resources, enhances the potential of natural hazards, and thus has significant socio-economic impact. Electrical resistivity tomography (ERT) has been widely used to map the ice-containing permafrost by its resistivity contrast compared to the surrounding non-frozen medium. We analyse the temporal changes in the resistivity distribution by comparing historical with recently measured ERT profiles. Three periglacial landforms (two rock glaciers and one talus slope) are surveyed in the Swiss and Austrian Alps by repeating historical field campaigns after periods of 10, 12, and 16 years, respectively. The resistivity values have been significantly reduced concerning ice-poor permafrost at all study sites. Interestingly, resistivity values related to ice-rich permafrost in the studied active rock glacier partly increased during the studied time period. To explain this apparent contradictory (in view of observed increase) observation, geomorphological circumstances, such as the relief and creeping behaviour of the active rock glacier, are discussed. Additional remote sensing data indicates an increased velocity in and around the active part with increased resistivity. The present study highlights alpine permafrost degradation resulting from ever-accelerating global warming.

opencc-by-4.0Nov 2022View details →

Identifying learning dimensions in CS project descriptions

For this study, we conducted a qualitative content analysis of a random sample of 94 English-language project descriptions stored in the CS Track database with the goal of determining which dimensions of learning are reflected most prominently in these texts. Using a slightly modified version of the model of individual learning outcomes developed by Phillips et al. in 2018 as a coding rubric, two members of the research team independently coded all project descriptions by manually assigning phrases, sentences and short paragraphs to eight main categories and 21 subcategories. From these text snippets, distinctive and frequently occurring keywords were extracted, which have since been used in follow-up studies.  Our analysis revealed that some learning dimensions (such as data collection or using technology) are very prominently discussed in the project descriptions we studied, while others (e.g. experimenting, study design, community action) are clearly underrepresented. In other words, the project descriptions analysed only partially reflect the educational potential of participation in CS. Based on these findings, we suggested possible explanations and ways in which the issue could be addressed on the level of both project design and project communication. This study profited immensely from the kind support of Tina Phillips and her colleagues, who agreed to share parts of their coded dataset with us. Details related to the analysis procedure are provided in a paper which is currently under review (on the date of submission of this deliverable - November 2022), no link to a repository is available. Contact the main authors if you have interest to receive further information). References: Phillips, T., Porticella, N., Constas, M., & Bonney, R. (2018). A framework for articulating and measuring individual learning outcomes from participation in citizen science. Citizen Science: Theory and Practice, 3(2). More information on this research can be found in D2.2 section 5.1. Content and grouping:  <ul> <li> coding rubric used (Main category, Subcategory, Definition (Draft) and Inclusion/exclusion criteria) columns) </li> </ul> <ul> <li> complete coding (i.e. including CS Track projects title) </li> <li> calculation of rate of agreement between coders </li> <li> list of keywords extracted </li> <li> list of projects titles and the website URL from where we extracted the information </li> </ul>

opencc-zeroNov 2022View details →

A self-purifying microfluidic system for identifying drugs acting against adult schistosomes

The discovery of novel antihelmintic molecules to combat the development and spread of schistosomiasis, a disease caused by several Schistosoma flatworm species, mobilizes significant research efforts worldwide. With a limited number of biochemical assays for measuring the viability of adult worms, the anti-schistosomicidal activity of molecules is usually evaluated by microscopic observation of worm mobility and/or integrity upon drug exposure. Even if these phenotypical assays enable multiple parameters analysis, they are often conducted during several days and need to be associated with image-based analysis to minimized subjectivity. We describe here a self-purifying microfluidic system enabling the selection of healthy adult worms and the identification of molecules acting instantly on the parasite. The worms are assayed in a dynamic environment that eliminates unhealthy worms that cannot attach firmly to the chip walls prior to being exposed to the drug. The detachment of the worms is also used as a second step readout for identifying active compounds. We have validated this new fluidic screening approach using the two major antihelmintic drugs, Praziquantel and Artemisinin. The reported dynamic system is simple to produce and to parallelize. Importantly, it enables quick and sensitive detection of antischistosomal compounds in no more than one hour.

opencc-by-4.0Dec 2021View details →

Integrative genetic analyses illuminates ALS heritability and identifies novel risk genes

Amyotrophic lateral sclerosis (ALS), the major adult onset motor neuron disease, has substantial heritability, in part shared with fronto-temporal dementia (FTD). We show here that ALS heritability is enriched in splicing variants and in binding sites of 6 RNA binding proteins including TDP-43 and FUS. A discovery and replication transcriptome wide association study (TWAS) identified 6 loci associated with ALS, 3 in known ALS loci (C9ORF72, SCFD1, SLC9A8) and 3 novel loci including NUP50 encoding for the nucleopore basket protein NUP50 In our meta-analysis of TWAS cohorts, NUP50 common variant was associated with ALS and to decreased expression of NUP50 in the central nervous system. Independently, we further show association of rare variants in NUP50 with ALS risk (P = 3.71.10-03; odds ratio  = 3.29; 95%CI, 1.37 to 7.87) in a cohort of 9,390 ALS/FTD patients and 4,594 controls. Cells from one patient carrying a NUP50 frameshift mutation displayed a decreased levels of NUP50. Loss of NUP50 leads to neuronal death in cultured neurons, and motor defects in Drosophila and zebrafish models. Thus, our study identifies alterations in splicing in neurons as a critical pathogenic process in ALS, uncovers several new loci potentially contributing to ALS, and provides genetic evidence linking nuclear pore defects to ALS.

opencc-zeroJan 2023View details →

Single-cell profiling identifies ACE+ granuloma macrophages as a non-permissive niche for intracellular bacteria during persistent Salmonella infection

Macrophages mediate key antimicrobial responses against intracellular bacterial pathogens, such as Salmonella enterica. Yet, they can also act as a permissive niche for these pathogens to persist in infected tissues within granulomas, which are immunological structures comprised of macrophages and other immune cells. We apply single-cell transcriptomics to investigate macrophage functional diversity during persistent Salmonella enterica serovar Typhimurium (STm) infection in mice. We identify determinants of macrophage heterogeneity in infected spleens and describe populations of distinct phenotypes, functional programming, and spatial localization. Using a STm mutant with impaired ability to polarize macrophage phenotypes, we find that angiotensin converting enzyme (ACE) defines a granuloma macrophage population that is non-permissive for intracellular bacteria and their abundance anticorrelates with tissue bacterial burden. Disruption of pathogen control by neutralizing TNF is linked to preferential depletion of ACE+ macrophages in infected tissues. Thus ACE+ macrophages have limited capacity to serve as cellular niche for intracellular bacteria to establish persistent infection.

opencc-by-4.0Dec 2022View details →

Data for manuscript "Synteny identifies reliable orthologs for phylogenomics and comparative genomics of the Brassicaceae"

Data and code for manuscript "Synteny identifies reliable orthologs for phylogenomics and comparative genomics of the Brassicaceae". Preprint available at bioRxiv: https://doi.org/10.1101/2022.09.07.506897.

opencc-zeroJan 2023View details →

Data for: Combining environmental niche models, multi-grain analyses, and species traits identifies pervasive effects of land use on butterfly biodiversity across Italy

Understanding how species respond to human activities is paramount to ecology and conservation science, one outstanding question being how large-scale patterns in land use affect biodiversity. To facilitate answering this question, we propose a novel analytical framework that combines Environmental Niche Models, multi-grain analyses, and species traits. We illustrate the framework capitalizing on the most extensive dataset compiled to date for the butterflies of Italy (106,514 observations for 288 species), assessing how agriculture and urbanization have affected biodiversity of these taxa from landscape to regional scales (3–48 km grains) across the country while accounting for its steep climatic gradients. Multiple lines of evidence suggest pervasive and scale-dependent effects of land use on butterflies in Italy. While land use explained patterns in species richness primarily at grains ≤ 12 km, idiosyncratic responses in species highlighted "winners" and "losers" across human-dominated regions. Detrimental effects of agriculture and urbanization emerged from landscape (3-km grain) to regional (48-km grain) scales, disproportionally affecting small butterflies and butterflies with a short flight curve. Human activities have therefore reorganized the biogeography of Italian butterflies, filtering out species with poor dispersal capacity and narrow niche breadth not only from local assemblages but also from regional species pools. These results suggest that global conservation efforts neglecting large-scale patterns in land use risk falling short of their goals, even for taxa typically assumed to persist in small natural areas (e.g., invertebrates). Our study also confirms that consideration of spatial scales will be crucial to implementing effective conservation actions in the Post-2020 Global Biodiversity Framework. In this context, applications of the proposed analytical framework have broad potential to identify which mechanisms underlie biodiversity change at different spatial scales. Funding statement: FR is supported by the PROBAE project "Protect butterflies across Europe through climate refugia" funded by the European Commission through Horizon 2020, Marie Skłodowska-Curie Actions (MSCA) individual fellowship, reintegration panel (Grant agreement ID: 101024579). Open Access Funding provided by Universita degli Studi di Torino within the CRUI-CARE Agreement.

opencc-by-4.0Feb 2023View details →

Rename Chains: An Exploratory Study on the Occurrence and Characteristics of Identifiers Undergoing Multiple Renamings

This is the dataset that accompanies the study: "Rename Chains: An Exploratory Study on the Occurrence and Characteristics of Identifiers Undergoing Multiple Renamings." This study has been accepted for publication at the 2022 International Workshop on Refactoring. Following is the abstract of the study: Identifier names play a significant role in program comprehension activities, with high-quality names improving developer productivity and system quality. To correct poor-quality names, developers rename identifiers to reflect their intended purpose better. However, renames do not always result in high-quality, long-lasting names; in many cases, developers perform multiple rename operations on the same identifier throughout the system's lifetime. In this paper, we report on a large-scale empirical study that examines the occurrence of identifiers undergoing multiple renames (i.e., rename chains). Our findings show the presence of rename chains in almost every project, with methods typically having more rename chains than other identifier types. Furthermore, it is usually the same developer responsible for creating all renames within a chain, with most names maintaining the same grammatical structure. Understanding rename chains can help us provide stronger advice, and targeted research, on how to craft high-quality, long-lasting identifiers.

opencc-by-4.0Feb 2023View details →

Deep Representation Learning of Physical Activity and Sleep Patterns During Pregnancy Identifies post-hoc Inferences Associated with Prematurity

Running title: series2signal gestational age "clock" for pregnancy monitoring Summary:  Preterm birth (PTB) is the leading cause of infant mortality globally. While research has focused on the development of predictive models for PTB, cost-effective interventions have remained understudied. Physical activity and sleep present unique opportunities for interventions in low- and middle-income populations. However, objective measurement of physical activity and sleep remains challenging and self-reported metrics suffer from low-resolution and accuracy that decays over time. In this study, we use physical activity data collected using a wearable device comprising over 181, 944 hours of data across N = 1, 083 patients. Using a new state-of-the art deep learning time-series classification architecture, we first develop a ”clock” of healthy dynamics in physical activity patterns during pregnancy by using gestational age (GA) as a surrogate for progression of pregnancy. We also developed a novel interpretability algorithm that integrates unsupervised clustering, model error analysis, feature attribution, and automated actigraphy analysis, allowing for model interpretation with respect to sleep, activity, and static clinical variables. Our model performs significantly better than 7 other machine learning and AI methods for modeling the progression of pregnancy based on measures of physical activity and sleep. Importantly, we found that deviations from this normal ”clock” of physical activity and sleep changes during pregnancy are strongly associated with pregnancy outcomes. When our model underestimates GA, there are 0.52 fewer preterm births than expected (P = 1.01e − 67) and when our model overestimates GA, there are 1.44 times (P = 2.82e − 39) more preterm births than expected. Model error is negatively correlated with interdaily stability (P = 0.043), indicating that our model assigns a more advanced GA when an individual’s daily rhythms are less precise. Supporting this, our model attributes higher importance to sleep periods in predicting higher-than-actual GA, relative to lower-than-actual GA (P = 1.01e − 21). Combining prediction with interpretability allows us to robustly signal when activity behaviors increase or decrease the likelihood of preterm birth and advocates for the future development of clinical decision support through passive monitoring and suggestions around exercise habits and sleep patterns, which are easily implemented in low- and middle-income countries (LMICs). Beyond this particular application, the presented pipeline can be used to analyze high-fidelity time-series data in other translational studies utilizing wearable devices.   Data description (brief): the raw wearables data is available as .mtn files with the GA encoded in the filename after the underscore. The processed data with sleep annotations can be loaded using the pickle module for serialized objects in python. See https://github.com/nealgravindra/wearables for examples.

opencc-by-4.0Mar 2023View details →

Venusian bow shock crossings manually identified from measurements by the ASPERA-4 and MAG instruments onboard Venus Express

Bow shock crossings at Venus identified manually from the ASPERA-4 and MAG instruments onboard Venus Express for the full mission from 2006 to 2014. A detailed description of the dataset can be found in the paper "Influence of solar wind variations on the shapes of Venus’ plasma boundaries based on Venus Express observations" by Signoles et al. The boundary crossings by Venus Express are determined from combining the measurements of both ion, electron and magnetic field measurements. The bow shock is identified from the sharp increase in the magnetic field magnitude, and the increase in electron and ion temperature. The ion composition boundary is identified from the decrease in magnetosheath protons and electrons, and the appearance of planetary heavy ions. The dataset contains 5193 identified bow shock crossings and 2679 identified ion composition boundary crossings. For more information on the dataset contact: M. Persson, moaperssonphd at gmail.com

opencc-by-4.0Mar 2023View details →

Accompanying empirical data for Kirchherr et al., 2023, "Bayesian multilevel hidden Markov models identify stable state dynamics in longitudinal recordings from macaque primary motor cortex"

This repository contains data accompanying: Kirchherr et al., 2023, "Bayesian multilevel hidden Markov models identify stable state dynamics in longitudinal recordings from macaque primary motor cortex". Data collection methods: Two adult female rhesus macaques (Macaca mulatta) trained on a reaching, and grasping, and placing task served as the subjects. The animal handling as well as surgical and experimental procedures complied with European guideline (2010/63/UE) and authorized by the French Ministry for Higher Education and Research (project # 2016112713202878) in force on the care and use of laboratory animals, and were approved by the ethics committee CELYNE (comité d’éthique Lyonnais pour les neurosciences expérimentale, C2EA 42). After initial training, we performed a sterile surgery to implant six floating multielectrode arrays (FMA, Microprobes for Life Science, Gaithersburg, MD, USA) in the right (monkey 1) or left (monkey 2) cortical hemisphere. Each array was comprised of 32 platinum/iridium electrodes (impedance 0.5 MΩ at 1 kHz) with lengths ranging from 1 to 6 mm, and with an inter-electrode spacing of 400 μm. One electrode array was implanted in the primary motor cortex (M1), two were implanted in the ventral premotor cortex (F5), one in the dorsal premotor cortex (F2), and two in the prefrontal cortex (45a and 46/12r), as estimated according to a previous magnetic resonance imaging scan. For the purposes of this study, we analyzed data from the M1 array of each monkey. The wideband neural signal (bandpass filtered at 0.1 to 7500 kHz) was recorded at 30 kS/s, and amplified and digitized (16-bit; 0.192 μV resolution) with an Intan Tech-based (Intan Technologies, Los Angeles, CA, USA) open source acquisition system (Open Ephys; Siegle et al. 2017). This system uses a 256-channel Intan RHD2000 series acquisition board and 32-channel headstages (RHD2132). Spike detection was performed offline using Trisdesclous (Garcia & Pouzat,2015). The common reference was removed to reduce ambient noise. Spikes were then detected from each electrode using a threshold of 2 times the median absolute deviation (MAD), and analyzed as multi-unit activity (MUA) in 10 ms bins. All electrodes in which at least one well-isolated spike waveform was detected were selected for the following analyses. We thus used a sample of 21 electrodes out of 32 for monkey 1, and 25 out of 32 electrodes for monkey 2. Custom made detection panels were used to record the moments when the monkey’s hand released the handle, the hand contacted the target object, and when the object was placed in the groove. An Omniplex 16-channel recording system (Plexon, Dallas, TX, USA) was used to simultaneously record these behavioral events. Trials were discarded if the response time (time between the go signal and handle release) was less than 100 or greater than 1500 ms, the reach duration (time between handle release and object contact) was less than 100 or greater than 1000 ms, or the placing duration (time between object contact and placing the object in the groove) was less than 100 or greater than 1200 ms, leaving 19 - 68 trials per day for monkey 1 (M = 43.9, SD = 15.46, N = 439; left: M = 14.8, SD = 5.74; center: M = 14.4, SD = 5.15; right: M = 14.7, SD = 7.73), and 23 - 49 per day for monkey 2 (M = 38.3, SD = 9.87, N = 383; left: M = 14.2, SD = 3.91; center: M = 10.8, SD = 3.55; right: M = 13.3, SD = 3.37). Abstract: Neural populations, rather than single neurons, may be the fundamental unit of cortical computation. Analyzing chronically recorded neural population activity is challenging not only because of the high dimensionality of activity in many neurons, but also because of changes in the recorded signal that may or may not be due to neural plasticity. Hidden Markov models (HMMs) are a promising technique for analyzing such data in terms of discrete, latent states, but previous approaches have either not considered the statistical properties of neural spiking data, have not been adaptable to longitudinal data, or have not modeled condition specific differences. We present a multilevel Bayesian HMM which addresses these shortcomings by incorporating multivariate Poisson log-normal emission probability distributions, multilevel parameter estimation, and trial-specific condition covariates. We applied this framework to multi-unit neural spiking data recorded using chronically implanted multi-electrode arrays from macaque primary motor cortex during a cued reaching, grasping, and placing task. We show that the model identifies latent neural population states which are tightly linked to behavioral events, despite the model being trained without any information about event timing. We show that these events represent specific spatiotemporal patterns of neural population activity and that their relationship to behavior is consistent over days of recording. The utility and stability of this approach is demonstrated using a previously learned task, but this multilevel Bayesian HMM framework would be especially suited for future studies of long-term plasticity in neural populations.

opencc-by-4.0Mar 2023View details →

Database for accurate EI-MS spectra for volatile compounds identified in e-liquids for e-cigarettes

Database of accurate EI-MS spectra, recorded using a GC-EI-TOF-MS instrument, for volatile and semi-volatile compounds tentatively identified in diluted e-liquids for e-smoking. Tentative identifications were based on normalized spectral matches above 75 (0-100 scale) with the low resolution NIST17 database, linear retention index differences between 50 units compared to literature values for semipolar (HP5-type) and Carbowax columns, and mass errors lower than 50 ppm for a minimum of two relevant ions in the spectra of each compound. The database can be used in combination with Library Editor software, included in MassHunter software. Experimental spectra were obtained after spectral deconvolution of GC-MS records for 1:100 diluted commercially available e-liquids

FIG. 14 in Modern taxonomic approaches to identifying diatrypaceous fungi from marine habitats, with a novel genus Halocryptovalsa Dayarathne & K.D.Hyde, gen. nov.

FIG. 14. — Halocryptovalsa salicorniae Dayarathne & K.D.Hyde, sp. nov. (MFLU 16-0551 – holotype): A, host (Salicornia sp.); B, C, appearance of ascostromata on host; D, horizontal section through ascostroma; E, section through neck region; F, peridium; G, H, asci; I, asci with paraphyses; J-M, ascospores; N, germinating ascospores; O, P, culture on PDA (O-upper, P-lower). Scale bars: B, 500 µm; D-F, 100 μm; G-I, 50 μm; J-N, 5 μm.

FIG. 11 in Modern taxonomic approaches to identifying diatrypaceous fungi from marine habitats, with a novel genus Halocryptovalsa Dayarathne & K.D.Hyde, gen. nov.

FIG. 11. — Cryptovalsa suaedicola Spooner (IMI139939 – holotype): A, B, herbarium material; C, appearance of stromata on host;D, horizontal section through stroma; E, section through stroma; F, neck region; G, peridium; H-I, asci; J, paraphyses; K-N, ascospores. Scale bars: C-E, 200 μm; F, 50 μm; G-J, 20 μm; K-N, 10 μm.

FIG. 7 in Modern taxonomic approaches to identifying diatrypaceous fungi from marine habitats, with a novel genus Halocryptovalsa Dayarathne & K.D.Hyde, gen. nov.

FIG. 7. — Cryptosphaeria bathurstensis (K.D.Hyde & Rappaz) Dayarathne & K.D.Hyde, comb. nov. (BRIP 78339 – holotype): A, herbarium material; B, horizontal section through ascostroma; C, appearance of ascostromata on host; D, section through ascoma; E, peridium; F-H, asci; I, paraphyses; J-N, ascospores. Scale bars: B, 500 μm; C, 1000 μm; D, 100 μm; E-H, 20 μm; I, 10 μm; J-N, 5 μm.

FIG. 5 in Modern taxonomic approaches to identifying diatrypaceous fungi from marine habitats, with a novel genus Halocryptovalsa Dayarathne & K.D.Hyde, gen. nov.

FIG. 5. — Sexual morph of Cryptosphaeria avicenniae Devadatha & V.V.Sarma, sp. nov. (AMH-9952 – holotype): A, ascomata erumpent, immersed in decaying wood of Avicennia marina; B, horizontal sections of ascomata; C, vertical section of ascomata; D, peridium; E-I, immature and mature asci; J, paraphyses; K-O, ascospores; P, germ tube develop from apical side of ascospore; Q, R, culture on PDA (Q-upper, R-lower). Scale bars: C, 100 μm; D, E, 50 μm; F-I, J, K = 20 μm; J, K, 20 μm; L-P, 5 μm.