Interactive metagenomic visualization in a Web browser

<p>Abstract</p> <p>Background</p> <p>A critical output of metagenomic studies is the estimation of abundances of taxonomical or functional groups. The inherent uncertainty in assignments to these groups makes it important to consider both their hierarchical contexts and their prediction confidence. The current tools for visualizing metagenomic data, however, omit or distort quantitative hierarchical relationships and lack the facility for displaying secondary variables.</p> <p>Results</p> <p>Here we present Krona, a new visualization tool that allows intuitive exploration of relative abundances and confidences within the complex hierarchies of metagenomic classifications. Krona combines a variant of radial, space-filling displays with parametric coloring and interactive polar-coordinate zooming. The HTML5 and JavaScript implementation enables fully interactive charts that can be explored with any modern Web browser, without the need for installed software or plug-ins. This Web-based architecture also allows each chart to be an independent document, making them easy to share via e-mail or post to a standard Web server. To illustrate Krona's utility, we describe its application to various metagenomic data sets and its compatibility with popular metagenomic analysis tools.</p> <p>Conclusions</p> <p>Krona is both a powerful metagenomic visualization tool and a demonstration of the potential of HTML5 for highly accessible bioinformatic visualizations. Its rich and interactive displays facilitate more informed interpretations of metagenomic analyses, while its implementation as a browser-based application makes it extremely portable and easily adopted into existing analysis packages. Both the Krona rendering code and conversion tools are freely available under a BSD open-source license, and available from: <url>http://krona.sourceforge.net</url>.</p

Diversidad bacteriana en suelos de zonas contaminadas y no contaminadas de una mina de cobre = Bacterial diversity in soils from contaminated and uncontaminated areas of a copper mine

Para entender la dinámica ecológica del suelo es de primordial importancia realizar un esquema de la distribución filogenética de las distintas bacterias que viven en él. Los análisis moleculares, en especial el metagenómico, puede aportar información detallada sobre la diversidad, estructura y funcionamiento de los microorganismos presentes en un suelo, información que pueden servir como base para su manejo y recuperación. El objetivo de este estudio fue evaluar la diversidad de las comunidades bacterianas en dos zonas de un suelo minero ubicado en la comunidad de Madrid. Los muestreos se realizaron en dos zonas de la mina identificadas como zona 1 (suelo no afectado) y zona 3 (zona de escombrera). Se realizaron análisis metagenómicos de las comunidades bacterianas presentes, con muestras de ambas zonas. Del total de secuencias bacterianas evaluadas, sólo el 1% mostró coincidencias en las bases de datos del Centro Nacional para la Información Biotecnológica (NCBI). Los resultados mostraron que el número de secuencias del dominio Bacteria es mayor en la zona 1 que en la zona 3. Aunque no se encontraron diferencias significativas entre los diferentes filos de bacterias por zona, sí se observaron diferencias en cuanto al número de especies dentro de los diferentes filos y entre las zonas de muestreo

Rio de Janeiro water crisis: a metagenomic approach

In Rio de Janeiro’s metropolitan area comprise, over 8 million inhabitants receive drinking water from Company responsible for water and sewage, capted by the Guandu river’s water treatment station. Such water started to present unusual odour, taste and color in January 2020, as stated by the population itself. Results obtained through raw water microbiome metagenomic analysis inferred cyanobacteria presence, with Planktothricoides gender and Planktothricoides sp. SR001 being the most abundant gender and organism. Such do pose a risk to public health, as they are able to produce cyanotoxins that affect human health

Exposure to synthetic hydraulic fracturing waste influences the mucosal bacterial community structure of the brook trout (<em>Salvelinus fontinalis</em>) epidermis

Production of natural gas using unconventional technologies has risen as demand for alternative fuels has increased. Impacts on the environment from waste generated from these processes are largely unexplored. In particular, the outcomes of organismal exposure to hydraulic fracturing waste have not been rigorously evaluated. We evaluated the effects of exposure to surrogate hydraulic fracturing waste (HF waste) on mucosal bacterial community structure of the brook trout (Salvelinus fontinalis) epidermis. Brook trout are fish native to streams at risk to HF waste exposure. Here, fish were exposed to four treatments (control, 0.00%; low, 0.01%; medium, 0.10%; and high, 1.0% concentrations) of surrogate HF waste synthesized to mimic concentrations documented in the field. Epidermal mucus samples were collected and assessed 15 days post-exposure to determine if the associated bacterial community varied among treatments. We observed differences in epidermal mucosal bacterial community composition at multiple taxonomic scales among treatments. These community changes reflected compositional differences in taxa dominance and community similarity rather than losses or gains in taxonomic richness. The dominant bacterial genus that explained the greatest variation in community structure between exposed and unexposed fish was Flavobacterium. Two genera associated with salmonid diseases, Flavobacterium and Pseudomonas, were statistically more abundant in high treatments than controls. These results suggest that exposure to low levels of HF waste influences bacterial colonization and may lead to a disruption that favors bacterial populations associated with fish disease

The Dolichens database: the lichen biota of the Dolomites

The Dolichens project provides the first dynamic inventory of the lichens of the Dolomites (Eastern Alps, Italy). Occurrence records were retrieved from published and grey literature, reviewed herbaria, unpublished records collected by the authors, and new sampling campaigns, covering a period from 1820 to 2022. Currently, the dataset contains 56,251 records, referring to 1,719 infrageneric taxa, reported from 1820 to 2022, from hilly to nival belts, and corresponding to about half of the species known for the whole Alpine chain. Amongst them, 98% are georeferenced, although most of them were georeferenced a posteriori. The dataset is available through the Global Biodiversity Information Facility (GBIF; https://www.gbif.org/es/dataset/cea3ee2c-1ff1-4f8e-bb37-a99600cb4134) and through the Dolichens website (https://italic.units.it/dolichens/). We expect that this open floristic inventory will contribute to tracking the lichen diversity of the Dolomites over the past 200 years, and providing the basis for future taxonomic, biogeographical, and ecological studies

Deep RNA sequencing of muscle tissue reveals absence of viral signatures in dermatomyositis

Objective: To explore a possible connection between active viral infections and manifestation of Dermatomyositis (DM). Methods: Skeletal muscle biopsies were analyzed from patients diagnosed with juvenile (n=10) and adult (n=12) DM. Adult DM patients harbored autoantibodies against either TIF-1γ (n=7) or MDA5 (n=5). Additionally, we investigated skeletal muscle biopsies from non-diseased controls (NDC, n=5). We used an unbiased high-throughput sequencing (HTS) approach to detect viral sequences. To further increase sequencing depth, a host depletion approach was applied. Results: In this observational study, no relevant viral sequences were detected either by native sequencing or after host depletion. The absence of detectable viral sequences makes an active viral infection of the muscle tissue unlikely to be the cause of DM in our cohorts. Discussion: Type I interferons (IFN) play a major role in the pathogenesis of both juvenile and adult dermatomyositis (DM). The IFN response is remarkably conserved between DM subtypes classified by specific autoantibodies. Certain acute viral infections are accompanied by a prominent type I IFN response involving similar downstream mechanisms as in DM. Aiming to elucidate the pathogenesis of DM in skeletal muscle tissue, we used an untargeted high-throughput sequencing and a host depletion approach to detect possible causative viruses

Bioinformatics tools for analysing viral genomic data

The field of viral genomics and bioinformatics is experiencing a strong resurgence due to high-throughput sequencing (HTS) technology, which enables the rapid and cost-effective sequencing and subsequent assembly of large numbers of viral genomes. In addition, the unprecedented power of HTS technologies has enabled the analysis of intra-host viral diversity and quasispecies dynamics in relation to important biological questions on viral transmission, vaccine resistance and host jumping. HTS also enables the rapid identification of both known and potentially new viruses from field and clinical samples, thus adding new tools to the fields of viral discovery and metagenomics. Bioinformatics has been central to the rise of HTS applications because new algorithms and software tools are continually needed to process and analyse the large, complex datasets generated in this rapidly evolving area. In this paper, the authors give a brief overview of the main bioinformatics tools available for viral genomic research, with a particular emphasis on HTS technologies and their main applications. They summarise the major steps in various HTS analyses, starting with quality control of raw reads and encompassing activities ranging from consensus and de novo genome assembly to variant calling and metagenomics, as well as RNA sequencing

Metagenomics-Based Phylogeny and Phylogenomic

Phylogenetic relationships among microbial taxa in natural environments provide key insights into the mechanisms that shape community structure and functions. In this chapter, we address the current methodologies to carry out community structure profiling, using single-copy markers and the small subunit of the rRNA gene to measure phylogenetic diversity from next-generation sequencing data. Furthermore, the huge amount of data from metagenomics studies across the world has allowed us to assemble thousands of draft genomes, making necessary the comparison of whole genomes composites through phylogenomic approximations. Several computational tools are available to carry out these analyses with considerable success; we present a compendium of those open source tools, easy to use and with modest hardware requirements, with the aim that they can be applied by biologists non-specialists to study microbial diversity in a phylogenetic context

Profiling Skin Microbiome in Healthy Young Adult Representing Javanese, Papuans, and Chinese Descent in Indonesia

Skin serves as the first physical barrier and biological barrier by the colonization of commensal bacteria to prevent pathogen invasion. It was known that the disruption on normal commensal microbiota composition or dysbiosis causes skin diseases, while the skin microbiota diversity itself is influenced by several factors, one of them is ethnicity. This study shows the influence of ethnicity factor in Papuans, Javanese, and Chinese descent young adults living in Jakarta on skin microbiome profiles. The microbiota genomic DNA are extracted from the face skin samples and sequenced with Next Generation Sequencing method to be further analyzed. The result shows that individuals with the same ethnic background share similar skin microbiome characteristics. The greatest skin microbiome alpha diversity is shown by the Papuans and the Chinese descent the smallest. Ethnicity factor that shows statistically significant differences in interindividual dissimilarities are independent of other intriguing factors such as age, geographical location, etc. Therefore the ethnic origin of individuals especially from three ethnics above is a factor to be considered in skin microbiome research and the skin microbiota composition can be used for potential future applications