scholarly journals Metagenomes, metatranscriptomes and microbiomes of naturally decomposing deadwood

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Vojtěch Tláskal ◽  
Vendula Brabcová ◽  
Tomáš Větrovský ◽  
Rubén López-Mondéjar ◽  
Lummy Maria Oliveira Monteiro ◽  
...  
Keyword(s):  
Plant Biomass ◽  
Environmental Dna ◽  
European Beech ◽  
Microbial Processes ◽  
Metagenomic Data ◽  
Rrna Gene ◽  
Microbiome Composition ◽  
Dna And Rna ◽  
Complex Picture ◽  
And Function

AbstractDeadwood represents significant carbon (C) stock in a temperate forests. Its decomposition and C mobilization is accomplished by decomposer microorganisms – fungi and bacteria – who also supply the foodweb of commensalist microbes. Due to the ecosystem-level importance of deadwood habitat as a C and nutrient stock with significant nitrogen fixation, the deadwood microbiome composition and function are critical to understanding the microbial processes related to its decomposition. We present a comprehensive suite of data packages obtained through environmental DNA and RNA sequencing from natural deadwood. Data provide a complex picture of the composition and function of microbiome on decomposing trunks of European beech (Fagus sylvatica L.) in a natural forest. Packages include deadwood metagenomes, metatranscriptomes, sequences of total RNA, bacterial genomes resolved from metagenomic data and the 16S rRNA gene and ITS2 metabarcoding markers to characterize the bacterial and fungal communities. This project will be of use to microbiologists, environmental biologists and biogeochemists interested in the microbial processes associated with the transformation of recalcitrant plant biomass.

scholarly journals A Multi-Omics Protocol for Swine Feces to Elucidate Longitudinal Dynamics in Microbiome Structure and Function

2020 ◽  
Vol 8 (12) ◽  
pp. 1887
Author(s):  
Laurin Gierse ◽  
Alexander Meene ◽  
Daniel Schultz ◽  
Theresa Schwaiger ◽  
Claudia Karte ◽  
...  
Keyword(s):  
16S Rrna ◽  
Short Chain Fatty Acids ◽  
Minimal Invasive ◽  
Intestinal Microbiome ◽  
Rrna Gene ◽  
Fecal Microbiome ◽  
Longitudinal Dynamics ◽  
Microbiome Composition ◽  
Swine Feces ◽  
And Function

Swine are regarded as promising biomedical models, but the dynamics of their gastrointestinal microbiome have been much less investigated than that of humans or mice. The aim of this study was to establish an integrated multi-omics protocol to investigate the fecal microbiome of healthy swine. To this end, a preparation and analysis protocol including integrated sample preparation for meta-omics analyses of deep-frozen feces was developed. Subsequent data integration linked microbiome composition with function, and metabolic activity with protein inventories, i.e., 16S rRNA data and expressed proteins, and identified proteins with corresponding metabolites. 16S rRNA gene amplicon and metaproteomics analyses revealed a fecal microbiome dominated by Prevotellaceae, Lactobacillaceae, Lachnospiraceae, Ruminococcaceae and Clostridiaceae. Similar microbiome compositions in feces and colon, but not ileum samples, were observed, showing that feces can serve as minimal-invasive proxy for porcine colon microbiomes. Longitudinal dynamics in composition, e.g., temporal decreased abundance of Lactobacillaceae and Streptococcaceae during the experiment, were not reflected in microbiome function. Instead, metaproteomics and metabolomics showed a rather stable functional state, as evident from short-chain fatty acids (SCFA) profiles and associated metaproteome functions, pointing towards functional redundancy among microbiome constituents. In conclusion, our pipeline generates congruent data from different omics approaches on the taxonomy and functionality of the intestinal microbiome of swine.

Clearer than mud? Using environmental DNA to track historical shifts in lake communities.

2021 ◽  
Author(s):  
John Pearman ◽  
Laura Biessy ◽  
Georgia Thomson-Laing ◽  
Lizette Reyes ◽  
Claire Shepherd ◽  
...  
Keyword(s):  
New Zealand ◽  
Microbial Communities ◽  
Environmental History ◽  
Environmental Changes ◽  
Environmental Dna ◽  
Taxonomic Composition ◽  
Molecular Methods ◽  
Rrna Gene ◽  
Metabolic Potential ◽  
Dna And Rna

<p>A continuous record of environmental history is stored in lake sediments providing an avenue to explore current and historical lake communities. Traditionally paleolimnological methods have focussed on macroscopic indicators (e.g. pollen, chronomids, diatoms) to investigate environmental changes but the application of environmental DNA techniques has enabled the investigation of microbial communities and other soft bodied organisms through time. The ‘Our lakes’ health; past, present, future (Lakes380)’ project aims to combined traditional and molecular methods to explore shifts in biological communities over the last 1,000 years (pre-human arrival in New Zealand). Sediments cores have been collected from a wide diversity of lakes across New Zealand and 16S rRNA gene metabarcoding approaches of both DNA and RNA applied to reveal how microbial community changes across time and especially in response to the arrival of humans and associated changes to the landscape and lake environments. We further investigate the changes in inferred metabolic potential of the microbial communities as the taxonomic composition of the lake differs over time. Finally, we combine these novel molecular methods with hyperspectral scanning and pollen data to increase the knowledge of changes in lake communities and identifying the timing of changes in lake health. The combination of methodologies provides a greater understanding of the environmental history of lake systems and will help to inform management decisions relating to the restoration and protection of lake health.</p>

scholarly journals Supplementation of Geranylgeraniol and Tocotrienols to High-Fat Diet Shifts the Gut Microbiome Composition and Function in Type 2 Diabetic Mice

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 393-393
Author(s):  
Moamen Elmassry ◽  
Eunhee Chung ◽  
Abdul Hamood ◽  
Chwan-Li Shen
Keyword(s):  
Relative Abundance ◽  
Gut Microbiome ◽  
High Fat Diet ◽  
Alpha Diversity ◽  
Control Group ◽  
Rrna Gene ◽  
High Fat ◽  
Microbiome Composition ◽  
And Function

Abstract Objectives In recent years, characterization of gut microbiota composition and function were linked to the progression of type 2 diabetes mellitus. Recent evidence showed that Geranylgeraniol, an isoprenoid found in fruits, vegetables, and grains, improves glucose homeostasis. Similarly, Tocotrienols, a subfamily of vitamin E, also contains anti-diabetic properties. In this study, we examined the combined effect of geranylgeraniol and tocotrienols on the composition and function of gut microbiome in obese male mice. Methods Forty male C57BL/6J mice were assigned to 4 groups in a factorial design as follows: high-fat diet (HFD) (control group), HFD + geranylgeraniol [400 mg/kg diet] (GG group), HFD + tocotrienols [400 mg/kg diet] (TT group), and HFD + geranylgeraniol + tocotrienols (G + T group) for 14 weeks. 16S rRNA gene sequencing was done from cecal samples and microbiome and data analysis was performed with QIIME2 and PICRUSt2. Results Across all groups, the most abundant phyla were Verrucomicrobia, Firmicutes, Bacteroidetes, and Actinobacteria. There was no difference in alpha diversity among different groups. Different treatments influenced the relative abundance of certain bacteria. In the Bacteroidetes phylum, the relative abundance of family S24–7 increased in the TT group only. In the Firmicutes phylum, the relative abundance of family Lachnospiraceae was reduced upon the supplementation of geranylgeraniol or tocotrienols; individually or in combination. In Verrucomicrobia phylum, Akkermansia muciniphila relative abundance was reduced in the TT group but increased in the G + T group. The results of functional profiling of the gut microbiome revealed that geranylgeraniol supplementation caused an increase in the proportion of biosynthetic pathways related to purine, pyrimidine, and inosine-5’-phosphate and hexitol fermentation, and a decrease in the proportion of pathways involved in the biosynthesis of isoleucine, valine, histidine, arginine, and chorismate. The G + T group increased pathways related to thiamine diphosphate biosynthesis, and decreased others involved into sulfur oxidation and methylerythritol phosphate. Conclusions The influence of geranylgeraniol and tocotrienols supplementation on gut microbiome composition and function, suggests a prebiotic potential for the potential of geranylgeraniol and tocotrienols. Funding Sources American River Nutrition, LLC, Hadley, MA.

scholarly journals Antimicrobial-specific response from resistance gene carriers studied in a natural, highly diverse microbiome

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Wisnu Adi Wicaksono ◽  
Peter Kusstatscher ◽  
Sabine Erschen ◽  
Tamara Reisenhofer-Graber ◽  
Martin Grube ◽  
...  
Keyword(s):  
Bacterial Communities ◽  
Rrna Gene ◽  
Specific Response ◽  
Natural Environments ◽  
Therapeutic Dosage ◽  
Natural Habitats ◽  
Dna And Rna ◽  
Microbial Dysbiosis ◽  
Gene Copies ◽  
And Function

Abstract Background Antimicrobial resistance (AMR) is a major threat to public health. Microorganisms equipped with AMR genes are suggested to have partially emerged from natural habitats; however, this hypothesis remains inconclusive so far. To understand the consequences of the introduction of exogenic antimicrobials into natural environments, we exposed lichen thalli of Peltigera polydactylon, which represent defined, highly diverse miniature ecosystems, to clinical (colistin, tetracycline), and non-clinical (glyphosate, alkylpyrazine) antimicrobials. We studied microbiome responses by analysing DNA- and RNA-based amplicon libraries and metagenomic datasets. Results The analyzed samples consisted of the thallus-forming fungus that is associated with cyanobacteria as well as other diverse and abundant bacterial communities (up to 108 16S rRNA gene copies ng-1 DNA) dominated by Alphaproteobacteria and Bacteroidetes. Moreover, the natural resistome of this meta-community encompassed 728 AMR genes spanning 30 antimicrobial classes. Following 10 days of exposure to the selected antimicrobials at four different concentrations (full therapeutic dosage and a gradient of sub-therapeutic dosages), we observed statistically significant, antimicrobial-specific shifts in the structure and function but not in bacterial abundances within the microbiota. We observed a relatively lower response after the exposure to the non-clinical compared to the clinical antimicrobial compounds. Furthermore, we observed specific bacterial responders, e.g., Pseudomonas and Burkholderia to clinical antimicrobials. Interestingly, the main positive responders naturally occur in low proportions in the lichen holobiont. Moreover, metagenomic recovery of the responders’ genomes suggested that they are all naturally equipped with specific genetic repertoires that allow them to thrive and bloom when exposed to antimicrobials. Of the responders, Sphingomonas, Pseudomonas, and Methylobacterium showed the highest potential. Conclusions Antimicrobial exposure resulted in a microbial dysbiosis due to a bloom of naturally low abundant taxa (positive responders) with specific AMR features. Overall, this study provides mechanistic insights into community-level responses of a native microbiota to antimicrobials and suggests novel strategies for AMR prediction and management.

scholarly journals Gut microbiota features of the geographically diverse Indian population

2018 ◽  
Author(s):  
Sudarshan A. Shetty
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Indian Population ◽  
Geographic Location ◽  
Population Level ◽  
Gene Profiling ◽  
Rrna Gene ◽  
Base Line ◽  
Microbiome Composition ◽  
And Function

AbstractPopulation-level microbial profiling allows for identifying the overarching features of the microbiome. Knowledge of population specific base-line gut microbiome features is important due to the widely reported impact of geography, lifestyle and dietary patterns on the microbiome composition, structure and function. Here, the gut microbiota of more than 1000 subjects across the length and breadth of India is presented. The publicly available 16S rRNA gene profiling data of faecal microbiota from the Landscape Of Gut Microbiome - Pan-India Exploration (LogMPIE) study representing 14 major cities, covering populations from northern, southern, eastern and western part of India analyzed. Majority of the dominant OTUs belonged to the Firmicutes, Bacteroidetes and Proteobacteria phyla. The rarer fraction was comprised of OTUs mainly from the phyla Verrucomicrobia and Spirochaetes. The median core size was estimated to consist of 12 OTUs (>80% prevalence) dominated by representing genera Prevotella, Faecalibacterium, Bacteroides, Roseburia, Megasphaera, Eubacterium and Gemmiger. Geographic location explained majority of the variation in the gut microbiota community structure. The observations of the present study support the previous reports of Prevotella dominance in the Indian population. The Prevotella/Bacteroides ratio was high for the overall population irrespective of geographic location and did not correlate with BMI or age of the participants. Despite a rapid transition towards a western lifestyle, high prevalence of Treponema in the Indian gut microbiota suggests that the urban population still harbors signatures of the traditional gut microbiome. The results presented here improve the knowledge of baseline microbiota in the Indian population across the length and breadth of the country. This study provides a base for future studies which need to incorporate numerous other confounding factors and their impact on the observed characteristics of the Indian gut microbiome.

scholarly journals Tailings microbial community profile and prediction of its functionality in basins of tungsten mine

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ana Paula Chung ◽  
Carina Coimbra ◽  
Pedro Farias ◽  
Romeu Francisco ◽  
Rita Branco ◽  
...  
Keyword(s):  
Rrna Gene ◽  
Microbial Composition ◽  
Core Microbiome ◽  
Microbiome Composition ◽  
Secondary Sources ◽  
Metabolic Functions ◽  
Processing Pathways ◽  
Tungsten Mine ◽  
Microbial Community Profile ◽  
And Function

AbstractIn a circular economy concept, where more than 300 million tons of mining and quarrying wastes are produced annually, those are valuable resources, supplying metals that are extracted today by other processes, if innovative methods and processes for efficient extraction of these elements are applied. This work aims to assess microbiological and chemical spatial distribution within two tailing basins from a tungsten mine, using a MiSeq approach targeting the 16S rRNA gene, to relate microbial composition and function with chemical variability, thus, providing information to enhance the efficiency of the exploitation of these secondary sources. The tailings sediments core microbiome comprised members of family Anaerolineacea and genera Acinetobacter, Bacillus, Cellulomonas, Pseudomonas, Streptococcus and Rothia, despite marked differences in tailings physicochemical properties. The higher contents of Al and K shaped the community of Basin 1, while As-S-Fe contents were correlated with the microbiome composition of Basin 2. The predicted metabolic functions of the microbiome were rich in genes related to metabolism pathways and environmental information processing pathways. An in-depth understanding of the tailings microbiome and its metabolic capabilities can provide a direction for the management of tailings disposal sites and maximize their potential as secondary resources.

scholarly journals Eukaryotic Biodiversity and Spatial Patterns in the Clarion-Clipperton Zone and Other Abyssal Regions: Insights From Sediment DNA and RNA Metabarcoding

2021 ◽  
Vol 8 ◽  
Author(s):  
Franck Lejzerowicz ◽  
Andrew John Gooday ◽  
Inés Barrenechea Angeles ◽  
Tristan Cordier ◽  
Raphaël Morard ◽  
...  
Keyword(s):  
Deep Sea ◽  
Large Scale ◽  
Benthic Communities ◽  
Experimental Studies ◽  
Alpha Diversity ◽  
Environmental Dna ◽  
18S Rrna Gene ◽  
Rrna Gene ◽  
Data Resource ◽  
Dna And Rna

The abyssal seafloor is a mosaic of highly diverse habitats that represent the least known marine ecosystems on Earth. Some regions enriched in natural resources, such as polymetallic nodules in the Clarion-Clipperton Zone (CCZ), attract much interest because of their huge commercial potential. Since nodule mining will be destructive, baseline data are necessary to measure its impact on benthic communities. Hence, we conducted an environmental DNA and RNA metabarcoding survey of CCZ biodiversity targeting microbial and meiofaunal eukaryotes that are the least known component of the deep-sea benthos. We analyzed two 18S rRNA gene regions targeting eukaryotes with a focus on Foraminifera (37F) and metazoans (V1V2), sequenced from 310 surface-sediment samples from the CCZ and other abyssal regions. Our results confirm huge unknown deep-sea biodiversity. Over 60% of benthic foraminiferal and almost a third of eukaryotic operational taxonomic units (OTUs) could not be assigned to a known taxon. Benthic Foraminifera are more common in CCZ samples than metazoans and dominated by clades that are only known from environmental surveys. The most striking results are the uniqueness of CCZ areas, both datasets being characterized by a high number of OTUs exclusive to the CCZ, as well as greater beta diversity compared to other abyssal regions. The alpha diversity in the CCZ is high and correlated with water depth and terrain complexity. Topography was important at a local scale, with communities at CCZ stations located in depressions more diverse and heterogeneous than those located on slopes. This could result from eDNA accumulation, justifying the interim use of eRNA for more accurate biomonitoring surveys. Our descriptions not only support previous findings and consolidate our general understanding of deep-sea ecosystems, but also provide a data resource inviting further taxon-specific and large-scale modeling studies. We foresee that metabarcoding will be useful for deep-sea biomonitoring efforts to consider the diversity of small taxa, but it must be validated based on ground truthing data or experimental studies.

Alterations of gut microbiome in patients with type 2 diabetes mellitus who had undergone cholecystectomy

2021 ◽  
Vol 320 (1) ◽  
pp. E113-E121
Author(s):  
Bin Wei ◽  
Yakun Wang ◽  
Shoukui Xiang ◽  
Yan Jiang ◽  
Rong Chen ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Microbiome Composition ◽  
Stool Samples ◽  
Rrna Gene Sequencing ◽  
And Function ◽  
New Onset

The gut microbiome of long-term T2DM patients who had undergone cholecystectomy and age- and/or sex-matched subjects of new-onset and long-term T2DM without cholecystectomy was assessed using 16S rRNA gene sequencing in stool samples. The findings suggest that, cholecystectomy could partially alleviate long-term diabetes-induced dysbiosis of gut microbiome composition and function.

scholarly journals Gut Microbiome in Chronic Coronary Syndrome Patients

2021 ◽  
Vol 10 (21) ◽  
pp. 5074
Author(s):  
Emilia Sawicka-Smiarowska ◽  
Kinga Bondarczuk ◽  
Witold Bauer ◽  
Magdalena Niemira ◽  
Anna Szalkowska ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Health Assessment ◽  
Study Groups ◽  
Cholesterol Concentration ◽  
Control Group ◽  
Rrna Gene ◽  
Microbiome Composition ◽  
Coronary Syndrome ◽  
Artery Disease ◽  
And Function

Despite knowledge of classical coronary artery disease (CAD) risk factors, the morbidity and mortality associated with this disease remain high. Therefore, new factors that may affect the development of CAD, such as the gut microbiome, are extensively investigated. This study aimed to evaluate gut microbiome composition in CAD patients in relation to the control group. We examined 169 CAD patients and 166 people in the control group, without CAD, matched in terms of age and sex to the study group. Both populations underwent a detailed health assessment. The microbiome analysis was based on the V3–V4 region of the 16S rRNA gene (NGS method). Among 4074 identified taxonomic units in the whole population, 1070 differed between study groups. The most common bacterial types were Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. Furthermore, a higher Firmicutes/Bacteroidetes ratio in the CAD group compared with the control was demonstrated. Firmicutes/Bacteroidetes ratio, independent of age, sex, CAD status, LDL cholesterol concentration, and statins treatment, was related to altered phosphatidylcholine concentrations obtained in targeted metabolomics. Altered alpha-biodiversity (Kruskal–Wallis test, p = 0.001) and beta-biodiversity (Bray–Curtis metric, p < 0.001) in the CAD group were observed. Moreover, a predicted functional analysis revealed some taxonomic units, metabolic pathways, and proteins that might be characteristic of the CAD patients’ microbiome, such as increased expressions of 6-phospho-β-glucosidase and protein-N(pi)-phosphohistidine-sugar phosphotransferase and decreased expressions of DNA topoisomerase, oxaloacetate decarboxylase, and 6-beta-glucosidase. In summary, CAD is associated with altered gut microbiome composition and function.

Scanning tunneling microscopy (STM) of DNA and RNA

1989 ◽  
Vol 47 ◽  
pp. 34-35
Author(s):  
Patricia G. Arscott ◽  
Gil Lee ◽  
Victor A. Bloomfield ◽  
D. Fennell Evans
Keyword(s):  
Molecular Structures ◽  
Inorganic Materials ◽  
Resolving Power ◽  
Scanning Tunneling ◽  
Tunneling Microscopy ◽  
Form And Function ◽  
Dna And Rna ◽  
Calf Thymus ◽  
And Function ◽  
The Relationship

STM is one of the most promising techniques available for visualizing the fine details of biomolecular structure. It has been used to map the surface topography of inorganic materials in atomic dimensions, and thus has the resolving power not only to determine the conformation of small molecules but to distinguish site-specific features within a molecule. That level of detail is of critical importance in understanding the relationship between form and function in biological systems. The size, shape, and accessibility of molecular structures can be determined much more accurately by STM than by electron microscopy since no staining, shadowing or labeling with heavy metals is required, and there is no exposure to damaging radiation by electrons. Crystallography and most other physical techniques do not give information about individual molecules.We have obtained striking images of DNA and RNA, using calf thymus DNA and two synthetic polynucleotides, poly(dG-me5dC)·poly(dG-me5dC) and poly(rA)·poly(rU).

Sign in / Sign up

Export Citation Format

Share Document