scholarly journals Characterization of the salivary microbiome in people with obesity

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4458 ◽  
Author(s):  
Yujia Wu ◽  
Xiaopei Chi ◽  
Qian Zhang ◽  
Feng Chen ◽  
Xuliang Deng
Keyword(s):  
High Throughput Sequencing ◽  
Periodontal Diseases ◽  
Illumina Miseq ◽  
Normal Weight ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Oral Diseases ◽  
And Function ◽  
Healthy Participants

Background The interactions between the gut microbiome and obesity have been extensively studied. Although the oral cavity is the gateway to the gut, and is extensively colonized with microbes, little is known about the oral microbiome in people with obesity. In the present study, we investigated the salivary microbiome in obese and normal weight healthy participants using metagenomic analysis. The subjects were categorized into two groups, obesity and normal weight, based on their BMIs. Methods We characterized the salivary microbiome of 33 adults with obesity and 29 normal weight controls using high-throughput sequencing of the V3–V4 region of the 16S rRNA gene (Illumina MiSeq). None of the selected participants had systemic, oral mucosal, or periodontal diseases. Results The salivary microbiome of the obesity group was distinct from that of the normal weight group. The salivary microbiome of periodontally healthy people with obesity had both significantly lower bacterial diversity and richness compared with the controls. The genus Prevotella, Granulicatella, Peptostreptococcus, Solobacterium, Catonella, and Mogibacterium were significantly more abundant in the obesity group; meanwhile the genus Haemophilus, Corynebacterium, Capnocytophaga, and Staphylococcus were less abundant in the obesity group. We also performed a functional analysis of the inferred metagenomes, and showed that the salivary community associated with obesity had a stronger signature of immune disease and a decreased functional signature related to environmental adaptation and Xenobiotics biodegradation compared with the normal weight controls. Discussion Our study demonstrates that the microbial diversity and structure of the salivary microbiome in people with obesity are significantly different from those of normal weight controls. These results suggested that changes in the structure and function of salivary microbiome in people with obesity might reflect their susceptibility to oral diseases.

scholarly journals The Fecal Bacterial Microbiota in Horses with Equine Recurrent Uveitis

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 745
Author(s):  
Michelle Martin de Bustamante ◽  
Diego Gomez ◽  
Jennifer MacNicol ◽  
Ralph Hamor ◽  
Caryn Plummer
Keyword(s):  
Beta Diversity ◽  
High Throughput Sequencing ◽  
Illumina Miseq ◽  
Diversity Indices ◽  
Rrna Gene ◽  
Linear Discriminant ◽  
Alpha And Beta Diversity ◽  
Bacterial Microbiota ◽  
Healthy Control ◽  
Equine Recurrent Uveitis

The objective of this study was to describe and compare the fecal bacterial microbiota of horses with equine recurrent uveitis (ERU) and healthy horses using next-generation sequencing techniques. Fecal samples were collected from 15 client-owned horses previously diagnosed with ERU on complete ophthalmic examination. For each fecal sample obtained from a horse with ERU, a sample was collected from an environmentally matched healthy control with no evidence of ocular disease. The Illumina MiSeq sequencer was used for high-throughput sequencing of the V4 region of the 16S rRNA gene. The relative abundance of predominant taxa, and alpha and beta diversity indices were calculated and compared between groups. The phyla Firmicutes, Bacteroidetes, Verrucomicrobia, and Proteobacteria predominated in both ERU and control horses, accounting for greater than 60% of sequences. Based on linear discriminant analysis effect size (LEfSe), no taxa were found to be enriched in either group. No significant differences were observed in alpha and beta diversity indices between groups (p > 0.05 for all tests). Equine recurrent uveitis is not associated with alteration of the gastrointestinal bacterial microbiota when compared with healthy controls.

scholarly journals Characterization of Bacteria in Biopsies of Colon and Stools by High Throughput Sequencing of the V2 Region of Bacterial 16S rRNA Gene in Human

PLoS ONE ◽  
2011 ◽  
Vol 6 (2) ◽  
pp. e16952 ◽  
Author(s):  
Yukihide Momozawa ◽  
Valérie Deffontaine ◽  
Edouard Louis ◽  
Juan F. Medrano
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Rrna Gene ◽  
Bacterial 16S Rrna Gene

Prospecting for ice association: characterization of freeze–thaw selected enrichment cultures from latitudinally distant soils

2012 ◽  
Vol 58 (4) ◽  
pp. 402-412 ◽  
Author(s):  
Sandra L. Wilson ◽  
Paul Grogan ◽  
Virginia K. Walker
Keyword(s):  
Microbial Consortia ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Ice Recrystallization Inhibition ◽  
Ice Recrystallization ◽  
Freeze Thaw ◽  
Recrystallization Inhibition ◽  
And Function ◽  
Selective Regime

Freeze–thaw stress has previously been shown to alter soil community structure and function. We sought to further investigate this stress on enriched microbial consortia with the aim of identifying microbes with ice-associating adaptations that facilitate survival. Enrichments were established to obtain culturable psychrotolerant microbes from soil samples from the latitudinal extremes of the Canadian Shield plateau. The resulting consortia were subjected to consecutive freeze–thaw cycles, and survivors were putatively identified by their 16S rRNA gene sequences. Even though the northerly site was exposed to longer, colder winters and large spring-time temperature fluctuations, the selective regime similarly affected both enriched consortia. Quantitative PCR and metagenomic sequencing were used to determine the frequency of a subset of the resistant microbes in the original enrichments. The metagenomes showed 22 initial genera, only 6 survived and these were not dominant prior to selection. When survivors were assayed for ice recrystallization inhibition and ice nucleation activities, over 60% had at least one of these properties. These phenotypes were not more prevalent in the northern enrichment, indicating that regarding these adaptations, the enrichment strategy yielded seemingly functionally similar consortia from each site.

scholarly journals Distribution of Hydrogen-Producing Bacteria in Tibetan Hot Springs, China

2021 ◽  
Vol 12 ◽  
Author(s):  
Li Ma ◽  
Geng Wu ◽  
Jian Yang ◽  
Liuqin Huang ◽  
Dorji Phurbu ◽  
...  
Keyword(s):  
Community Structure ◽  
Hydrogen Production ◽  
16S Rrna ◽  
High Throughput Sequencing ◽  
Hot Springs ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
The Tibetan Plateau

Investigating the distribution of hydrogen-producing bacteria (HPB) is of great significance to understanding the source of biological hydrogen production in geothermal environments. Here, we explored the compositions of HPB populations in the sediments of hot springs from the Daggyai, Quzhuomu, Quseyongba, and Moluojiang geothermal zones on the Tibetan Plateau, with the use of Illumina MiSeq high-throughput sequencing of 16S rRNA genes and hydA genes. In the present study, the hydA genes were successfully amplified from the hot springs with a temperature of 46–87°C. The hydA gene phylogenetic analysis showed that the top three phyla of the HPB populations were Bacteroidetes (14.48%), Spirochaetes (14.12%), and Thermotogae (10.45%), while Proteobacteria were absent in the top 10 of the HPB populations, although Proteobacteria were dominant in the 16S rRNA gene sequences. Canonical correspondence analysis results indicate that the HPB community structure in the studied Tibetan hot springs was correlated with various environmental factors, such as temperature, pH, and elevation. The HPB community structure also showed a spatial distribution pattern; samples from the same area showed similar community structures. Furthermore, one HPB isolate affiliated with Firmicutes was obtained and demonstrated the capacity of hydrogen production. These results are important for us to understand the distribution and function of HPB in hot springs.

scholarly journals Bacterial Diversity and Community in Regional Water Microbiota between Different Towns in World’s Longevity Township Jiaoling, China

Diversity ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 361
Author(s):  
Lei Wu ◽  
Xinqiang Xie ◽  
Jumei Zhang ◽  
Yu Ding ◽  
Qingping Wu
Keyword(s):  
16S Rrna ◽  
High Throughput Sequencing ◽  
The Other ◽  
Rrna Gene ◽  
Metabolic Characteristics ◽  
Kegg Pathways ◽  
Healthy Longevity ◽  
And Function ◽  
Regional Water

Healthy longevity is associated with many factors, however, the potential correlation between longevity and microbiota remains elusive. To address this, we explored environmental microbiota from one of the world’s longevity townships in China. We used 16S rRNA gene high-throughput sequencing to analyze the composition and function of water microbiota. The composition and diversity of water microbiota significantly differed between the towns. Lactobacillus, Streptococcus, Bacteroides, Faecalibacterium, and Stenotrophomonas were only dominant in Xinpu, a town with an exceptionally high centenarian population. Several biomarkers were identified, including Flavobacterium, Acinetobacter, Paracoccus, Lactobacillales, Psychrobacter, Bacteroides, Ruminococcaceae, and Faecalibacterium, and these shown to be responsible for the significant differences between towns. The main species contributing to the differences between towns were Cyanobacteria, Cupriavidus and Ralstonia. Based on KEGG pathways showed that the predicted metabolic characteristics of the water microbiota in Xinpu towns were significantly different to those of the other towns. The results revealed significant differences in the composition and diversity of water microbiota in the longevity township. These findings provide a foundation for further research on the role of water microbiota in healthy longevity.

scholarly journals Characterization of an isolate of Lettuce big-vein associated virus (LBVaV) detected in naturally infected tomato (Solanum lycopersicum L.) in Slovakia

2021 ◽  
Vol 57 (No. 4) ◽  
pp. 344-348
Author(s):  
Lukáš Predajňa ◽  
Daniel Mihálik ◽  
Michaela Mrkvová ◽  
Pavel Cejnar ◽  
Katarína Šoltys ◽  
...  
Keyword(s):  
Solanum Lycopersicum ◽  
High Throughput Sequencing ◽  
Illumina Miseq ◽  
Reference Sequence ◽  
Solanum Lycopersicum L ◽  
Original Plant ◽  
Infected Tomato ◽  
Miseq Platform

A tomato plant (Solanum lycopersicum Linnaeus, labelled KVE) displaying virus-like symptoms, tested negative for common tomato viruses, was subjected to high-throughput sequencing (HTS) on the Illumina MiSeq platform using ribosomal RNA-depleted total RNA as a template. The analysis has revealed the contigs mapping to Lettuce big-vein associated virus (LBVaV). The near complete LBVaV-KVE sequence of RNA1 and RNA2 revealed 95.0 and 94.9% identity with the reference sequence, the same length of translated products and a typical varicosavirus genome organisation. After initial long-term maintenance of LBVaV-KVE in the original plant, the virus could be detected by RT-PCR or nanoLC-ESI-Q-TOF in new plants generated from lateral shoot cuttings or inoculated by stem chips, although not uniformly.  So far, LBVaV was reported to infect lettuce and related species. Our study expands the natural host range of the LBVaV to tomato.

scholarly journals Seasonal dynamics in taxonomy and function within bacterial and viral metagenomic assemblages recovered from a freshwater agricultural pond

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Jessica Chopyk ◽  
Daniel J. Nasko ◽  
Sarah Allard ◽  
Anthony Bui ◽  
Mihai Pop ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Antibiotic Resistance Genes ◽  
Pond Water ◽  
Taxonomic Composition ◽  
Storm Event ◽  
Rrna Gene ◽  
Illumina Hiseq ◽  
Culture Independent ◽  
Freshwater Habitats ◽  
And Function

Abstract Background Ponds are important freshwater habitats that support both human and environmental activities. However, relative to their larger counterparts (e.g. rivers, lakes), ponds are understudied, especially with regard to their microbial communities. Our study aimed to fill this knowledge gap by using culture-independent, high-throughput sequencing to assess the dynamics, taxonomy, and functionality of bacterial and viral communities in a freshwater agricultural pond. Results Water samples (n = 14) were collected from a Mid-Atlantic agricultural pond between June 2017 and May 2018 and filtered sequentially through 1 and 0.2 μm filter membranes. Total DNA was then extracted from each filter, pooled, and subjected to 16S rRNA gene and shotgun sequencing on the Illumina HiSeq 2500 platform. Additionally, on eight occasions water filtrates were processed for viral metagenomes (viromes) using chemical concentration and then shotgun sequenced. A ubiquitous freshwater phylum, Proteobacteria was abundant at all sampling dates throughout the year. However, environmental characteristics appeared to drive the structure of the community. For instance, the abundance of Cyanobacteria (e.g. Nostoc) increased with rising water temperatures, while a storm event appeared to trigger an increase in overall bacterial diversity, as well as the relative abundance of Bacteroidetes. This event was also associated with an increase in the number of antibiotic resistance genes. The viral fractions were dominated by dsDNA of the order Caudovirales, namely Siphoviridae and Myovirdae. Conclusions Overall, this study provides one of the largest datasets on pond water microbial ecology to date, revealing seasonal trends in the microbial taxonomic composition and functional potential.

scholarly journals Ultrahigh-Throughput Multiplexing and Sequencing of >500-Base-Pair Amplicon Regions on the Illumina HiSeq 2500 Platform

mSystems ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Johanna B. Holm ◽  
Michael S. Humphrys ◽  
Courtney K. Robinson ◽  
Matthew L. Settles ◽  
Sandra Ott ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Sequence Data ◽  
Microbial Community Composition ◽  
Pcr Amplification ◽  
Illumina Miseq ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Illumina Hiseq ◽  
Illumina Miseq Platform ◽  
Miseq Platform

ABSTRACT Amplification, sequencing, and analysis of the 16S rRNA gene affords characterization of microbial community composition. As this tool has become more popular and amplicon-sequencing applications have grown in the total number of samples, growth in sample multiplexing is becoming necessary while maintaining high sequence quality and sequencing depth. Here, modifications to the Illumina HiSeq 2500 platform are described which produce greater multiplexing capabilities and 300-bp paired-end reads of higher quality than those produced by the current Illumina MiSeq platform. To improve the feasibility and flexibility of this method, a 2-step PCR amplification protocol is also described that allows for targeting of different amplicon regions, and enhances amplification success from samples with low bacterial bioburden. IMPORTANCE Amplicon sequencing has become a popular and widespread tool for surveying microbial communities. Lower overall costs associated with high-throughput sequencing have made it a widely adopted approach, especially for projects that necessitate sample multiplexing to eliminate batch effect and reduced time to acquire data. The method for amplicon sequencing on the Illumina HiSeq 2500 platform described here provides improved multiplexing capabilities while simultaneously producing greater quality sequence data and lower per-sample cost relative to those of the Illumina MiSeq platform without sacrificing amplicon length. To make this method more flexible for various amplicon-targeted regions as well as improve amplification from low-biomass samples, we also present and validate a 2-step PCR library preparation method.

scholarly journals Characterization of Intestinal Microbiomes of Hirschsprung’s Disease Patients with or without Enterocolitis Using Illumina-MiSeq High-Throughput Sequencing

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0162079 ◽  
Author(s):  
Yuqing Li ◽  
Valeriy Poroyko ◽  
Zhilong Yan ◽  
Liya Pan ◽  
Yi Feng ◽  
...  
Keyword(s):  
High Throughput ◽  
Hirschsprung's Disease ◽  
Hirschsprung’S Disease ◽  
High Throughput Sequencing ◽  
Illumina Miseq

scholarly journals 83 Lifelong dynamics of the swine gut microbiome: from birth to market

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 48-48
Author(s):  
Xiaofan Wang ◽  
Tsung Cheng Tsai ◽  
Charles V Maxwell ◽  
Jiangchao Zhao
Keyword(s):  
Growth Performance ◽  
Gut Microbiome ◽  
Community Dynamics ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
Growth Stages ◽  
Rrna Gene ◽  
16 S Rrna

Abstract Despite the recent advances in the swine gut microbiomes during different growth stages, a comprehensive longitudinal study of the lifelong dynamics of the swine gut microbiome is lacking. To fill this gap of knowledge, we selected seventeen piglets (PIC29*380) that were born on the same date from three sows. We collected a total of 274 rectal swabs during lactation (d 0, 11, 20), nursery (d 27, 33, 41, 50, 61), growing (d 76, 90, 104, 116), and finishing (d 130, 146, 159, and 174) stages. Samples were extracted using the Powersoil DNA isolation kit (Qiagen, Hilden, Germany) and sequenced with an Illumina Miseq sequencer targeting the V4 region of the 16 S rRNA gene. Sequences were analyzed with the Deblur algorithm in the QIIME2 package. In general, alpha diversity including community richness (e.g., number of observed features, Chao1) and diversity (e.g., Shannon Index) showed an overall trend of increasing from lactation to the finishing stage (P < 0.01). Gradual and significant changes in community structures were also observed along the four growth stages (ANOSIM, R = 0.66; P < 0.01). Non-parametric permutational multivariate analysis of variance shows that main factors driving the lifelong community dynamics included age and diet. Seventeen phylum members were discovered in the lifelong pig gut microbiome with Firmicutes and Bacteroidetes being the most abundant phyla. LEfSe analysis revealed 63 bacterial features that are stage specific. By using a regressing tree based Random Forest model we identified five bacterial features that are associated with swine growth performance including features 26 (Turicibacteraceae Turicibacter), 27 (Clostridium butyricum), 18 (Clostridiaceae), 19 (Clostridium perfringens) and 4 (Clostridiaceae). Characterization of the lifelong dynamics of 17 healthy pigs from birth to market provides a foundation for gut microbiome studies focusing on swine development, health and growth performance.

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