scholarly journals Identification of differential duodenal gene expression levels and microbiota abundance correlated with differences in energy utilisation in chickens

2013 ◽  
Vol 53 (12) ◽  
pp. 1269 ◽  
Author(s):  
Barbara M. Konsak ◽  
Dragana Stanley ◽  
Volker R. Haring ◽  
Mark S. Geier ◽  
Robert J. Hughes ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Throughput Sequencing ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Lactobacillus Species ◽  
Operational Taxonomic Units ◽  
Similar Genetic Background ◽  
The Difference ◽  
Production Animals ◽  
Utilisation Efficiency

Among the terrestrial production animals, chickens are the most efficient users of energy. Apparent metabolisable energy (AME) is a measure of energy utilisation efficiency representing the difference between energy consumed and energy lost via the excreta. There are significant differences in the energy utilisation capability of individual birds that have a similar genetic background and are raised under identical conditions. It would be of benefit to poultry producers if the basis of these differences could be understood and the differences minimised. We analysed duodenal gene expression and microbiota differences in birds with different energy utilisation efficiencies. Using microarray analysis, significant differences were found in duodenal gene expression between high- and low-AME birds, indicating that level of cell turnover may distinguish different groups of birds. High-throughput sequencing of bacterial 16S rRNA genes indicated that duodenal microbiota was dominated by Lactobacillus species and two operational taxonomic units, identified as lactobacilli species, were found to be more abundant (P < 0.05) in low-AME birds. The present study has identified gene expression and microbiota properties that correlate with differences in AME; further studies will be required to investigate the causal relationships.

scholarly journals Comparison of oral microbiome profiles in 18-month-old infants and their parents

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ryutaro Jo ◽  
Kazuma Yama ◽  
Yuto Aita ◽  
Kota Tsutsumi ◽  
Chikako Ishihara ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Dental Caries ◽  
Oral Bacteria ◽  
Oral Microbiome ◽  
Commensal Bacteria ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Deciduous Dentition ◽  
The Difference ◽  
Generation Sequencing

AbstractThe onset and progress of dental caries and periodontal disease is associated with the oral microbiome. Therefore, it is important to understand the factors that influence oral microbiome formation. One of the factors that influence oral microbiome formation is the transmission of oral bacteria from parents. However, it remains unclear when the transmission begins, and the difference in contributions of father and mother. Here, we focused on the oral microbiome of 18-month-old infants, at which age deciduous dentition is formed and the oral microbiome is likely to become stable, with that of their parents. We collected saliva from forty 18-month-old infants and their parents and compared the diversity and composition of the microbiome using next-generation sequencing of 16S rRNA genes. The results showed that microbial diversity in infants was significantly lower than that in parents and composition of microbiome were significantly different between infants and parents. Meanwhile, the microbiome of the infants was more similar to that of their mothers than unrelated adults. The bacteria highly shared between infants and parents included not only commensal bacteria but also disease related bacteria. These results suggested that the oral microbiome of the parents influences that of their children aged < 18 months.

scholarly journals Treatment nonresponse in children receiving silver diamine fluoride for caries: A pilot study

2020 ◽  
Author(s):  
Ryan Richard Ruff ◽  
Bidisha Paul ◽  
Maria A Sierra ◽  
Fangxi Xu ◽  
Yasmi Crystal ◽  
...  
Keyword(s):  
Pilot Study ◽  
Bacterial Species ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Lasso Regression ◽  
Silver Diamine Fluoride ◽  
Operational Taxonomic Units ◽  
Acid Tolerant ◽  
Nonsurgical Therapy

AbstractObjectives: Silver diamine fluoride (SDF) is a nonsurgical therapy for the arrest and prevention of dental caries with demonstrated clinical efficacy. Approximately 20% of children receiving SDF fail to respond to treatment. The objective of this study was to develop a predictive model of treatment nonresponse using machine learning. Methods: An observational pilot study (N=20) consisting of children with and without active decay and who did and did not respond to silver diamine fluoride provided salivary samples and plaque from infected and contralateral sites. 16S rRNA genes from samples were amplified and sequenced on an Illumina Miseq and analyzed using QIIME. The association between operational taxonomic units and treatment nonresponse was assessed using lasso regression and artificial neural networks. Results: Bivariate group comparisons of bacterial abundance indicate a number of genera were significantly different between nonresponders and those who responded to SDF therapy. No differences were found between nonresponders and caries-active subjects. Prevotella pallens and Veillonella denticariosi were retained in full lasso models and combined with clinical variables in a six-input multilayer perceptron. Discussion: The acidogenic and acid-tolerant nature of retained bacterial species may overcome the antimicrobial effects of SDF. Further research to validate the model in larger external samples is needed.

scholarly journals Comparative Analysis of the Fecal Bacterial Microbiota of Wintering Whooper Swans (Cygnus Cygnus)

2021 ◽  
Vol 8 ◽  
Author(s):  
Wenxia Wang ◽  
Songlin Huang ◽  
Liangliang Yang ◽  
Guogang Zhang
Keyword(s):  
Intestinal Microbiota ◽  
Relative Abundance ◽  
High Throughput Sequencing ◽  
The Body ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Illumina Hiseq ◽  
Linear Discriminant ◽  
Bacterial Microbiota ◽  
And Control

There are many and diverse intestinal microbiota, and they are closely related to various physiological functions of the body. They directly participate in the host's food digestion, nutrient absorption, energy metabolism, immune response, and many other physiological activities and are also related to the occurrence of many diseases. The intestinal microbiota are extremely important for maintaining normal physical health. In order to explore the composition and differences of the intestinal microbiota of whooper swans in different wintering areas, we collected fecal samples of whooper swans in Sanmenxia, Henan, and Rongcheng, Shandong, and we used the Illumina HiSeq platform to perform high-throughput sequencing of bacterial 16S rRNA genes. Comparison between Sanmenxia and Rongcheng showed no significant differences in ACE, Chao 1, Simpson, and Shannon indices (p &gt; 0.05). Beta diversity results showed significant differences in bacterial communities between two groups [analysis of similarity (ANOSIM): R = 0.80, p = 0.011]. Linear discriminant analysis effect size (LEfSe) analysis showed that at the phylum level, the relative abundance of Actinobacteria was significantly higher in Sanmenxia whooper swans than Rongcheng whooper swans. At the genus level, the amount of Psychrobacter and Carnobacterium in Sanmenxia was significantly higher in Rongcheng, while the relative abundance Catellicoccus and Lactobacillus was significantly higher in Rongcheng than in Sanmenxia. This study analyzed the composition, characteristics, and differences of the intestinal microbiota of the whooper swans in different wintering environments and provided theoretical support for further exploring the relationship between the intestinal microbiota of the whooper swans and the external environment. And it played an important role in the overwintering physiology and ecology, population management, and epidemic prevention and control of whooper swans.

scholarly journals The Purple Sea Urchin Strongylocentrotus purpuratus Demonstrates a Compartmentalization of Gut Bacterial Microbiota, Predictive Functional Attributes, and Taxonomic Co-Occurrence

2019 ◽  
Vol 7 (2) ◽  
pp. 35 ◽  
Author(s):  
Joseph Hakim ◽  
Julie Schram ◽  
Aaron Galloway ◽  
Casey Morrow ◽  
Michael Crowley ◽  
...  
Keyword(s):  
Sea Urchin ◽  
High Throughput Sequencing ◽  
Sea Urchins ◽  
Community Integration ◽  
Strongylocentrotus Purpuratus ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Tide Pool ◽  
Alpha And Beta Diversity ◽  
Taxonomic Organization

The sea urchin Strongylocentrotus purpuratus (order Camarodonta, family Strongylocentrotidae) can be found dominating low intertidal pool biomass on the southern coast of Oregon, USA. In this case study, three adult sea urchins were collected from their shared intertidal pool, and the bacteriome of their pharynx, gut tissue, and gut digesta, including their tide pool water and algae, was determined using targeted high-throughput sequencing (HTS) of the 16S rRNA genes and bioinformatics tools. Overall, the gut tissue demonstrated Arcobacter and Sulfurimonas (Epsilonproteobacteria) to be abundant, whereas the gut digesta was dominated by Psychromonas (Gammaproteobacteria), Propionigenium (Fusobacteria), and Flavobacteriales (Bacteroidetes). Alpha and beta diversity analyses indicated low species richness and distinct microbial communities comprising the gut tissue and digesta, while the pharynx tissue had higher richness, more closely resembling the water microbiota. Predicted functional profiles showed Kyoto Encyclopedia of Genes and Genomes (KEGG) Level-2 categories of energy metabolism, membrane transport, cell motility, and signal transduction in the gut tissue, and the gut digesta represented amino acid, carbohydrate, vitamin and cofactor metabolisms, and replication and repair. Co-occurrence network analysis showed the potential relationships and key taxa, such as the highly abundant Arcobacter and Propionigenium, influencing population patterns and taxonomic organization between the gut tissue and digesta. These results demonstrate a trend of microbial community integration, allocation, predicted metabolic roles, and taxonomic co-occurrence patterns in the S. purpuratus gut ecosystem.

scholarly journals Illumina-based sequencing analysis of pathogenic microorganisms in dental caries patients of different Chinese ethnic groups

2019 ◽  
Vol 47 (10) ◽  
pp. 5037-5047
Author(s):  
Chen Yun ◽  
Li Zhiyan ◽  
Zhao Chong ◽  
Liu Jing ◽  
Zhang Xin ◽  
...  
Keyword(s):  
Dental Caries ◽  
Ethnic Groups ◽  
High Throughput Sequencing ◽  
Community Diversity ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Control Group ◽  
Sequencing Analysis ◽  
Pathogenic Microorganisms ◽  
Effective Prevention

Objective To analyze the pathogenic community diversity of dental caries patients from Tu, Hui, Tibetan, and Han Chinese ethnic groups. Methods Forty saliva samples were collected from the following patients with dental caries: Tu from Huzhu County (n = 10), Hui from Ping’an County (n = 10), Han from Xining city (n = 10), and Tibetan from Yushu (n = 10). High-throughput sequencing of bacterial 16S rRNA genes (V3-V4) was performed using the Illumina MiSeq sequencing platform. Results Based on 97% similarity clustering, operational taxonomic units of Tu, Hui, Tibetan, and Han ethnic groups were 181, 210, 38, and 67, respectively. In Tu patients, 11 phyla, 19 classes, and 89 genera were identified, compared with 13 phyla, 21 classes, and 113 genera in Hui patients, two phyla, four classes, and 21 genera in Tibetan patients, five phyla, nine classes, and 34 genera in Han patients, and four phyla, five classes, and 12 genera from the control group. The main pathogens of dental caries included Veillonella, Aggregatibacter, Leptotrichia, Bacteroides, Granulicatella, Streptococcus, and Prevotella. Conclusion The pathogenic microorganisms of dental caries differ greatly among Tu, Hui, Tibetan, and Han ethnic groups. These findings provide a theoretical basis for the effective prevention and treatment of dental caries in different Chinese populations.

scholarly journals Community and Proteomic Analysis of Anaerobic Consortia Converting Tetramethylammonium to Methane

Archaea ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Wei-Yu Chen ◽  
Lucia Kraková ◽  
Jer-Horng Wu ◽  
Domenico Pangallo ◽  
Lenka Jeszeová ◽  
...  
Keyword(s):  
Proteomic Analysis ◽  
High Throughput Sequencing ◽  
Molecular Techniques ◽  
Upflow Anaerobic Sludge Blanket ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Uasb Reactor ◽  
Anaerobic Sludge ◽  
Methane Formation ◽  
Proteomic Approach

Tetramethylammonium-degrading methanogenic consortia from a complete-mixing suspended sludge (CMSS) and an upflow anaerobic sludge blanket (UASB) reactors were studied using multiple PCR-based molecular techniques and shotgun proteomic approach. The prokaryotic 16S rRNA genes of the consortia were analyzed by quantitative PCR, high-throughput sequencing, and DGGE-cloning methods. The results showed that methanogenicarchaeawere highly predominant in both reactors but differed markedly according to community structure. Community and proteomic analysis revealed thatMethanomethylovoransandMethanosarcinawere the major players for the demethylation of methylated substrates and methane formation through the reduction pathway of methyl-S-CoM and possibly, acetyl-CoA synthase/decarbonylase-related pathways. Unlike high dominance of oneMethanomethylovoranspopulation in the CMSS reactor, diverse methylotrophicMethanosarcinaspecies inhabited in syntrophy-like association with hydrogenotrophicMethanobacteriumin the granular sludge of UASB reactor. The overall findings indicated the reactor-dependent community structures of quaternary amines degradation and provided microbial insight for the improved understanding of engineering application.

scholarly journals Status of the Archaeal and Bacterial Census: an Update

mBio ◽  
2016 ◽  
Vol 7 (3) ◽  
Author(s):  
Patrick D. Schloss ◽  
Rene A. Girard ◽  
Thomas Martin ◽  
Joshua Edwards ◽  
J. Cameron Thrash
Keyword(s):  
16S Rrna ◽  
Bacterial Diversity ◽  
High Throughput Sequencing ◽  
New Technologies ◽  
Full Length ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Short Read ◽  
Sequencing Technologies

ABSTRACT A census is typically carried out for people across a range of geographical levels; however, microbial ecologists have implemented a molecular census of bacteria and archaea by sequencing their 16S rRNA genes. We assessed how well the census of full-length 16S rRNA gene sequences is proceeding in the context of recent advances in high-throughput sequencing technologies because full-length sequences are typically used as references for classification of the short sequences generated by newer technologies. Among the 1,411,234 and 53,546 full-length bacterial and archaeal sequences, 94.5% and 95.1% of the bacterial and archaeal sequences, respectively, belonged to operational taxonomic units (OTUs) that have been observed more than once. Although these metrics suggest that the census is approaching completion, 29.2% of the bacterial and 38.5% of the archaeal OTUs have been observed more than once. Thus, there is still considerable diversity to be explored. Unfortunately, the rate of new full-length sequences has been declining, and new sequences are primarily being deposited by a small number of studies. Furthermore, sequences from soil and aquatic environments, which are known to be rich in bacterial diversity, represent only 7.8 and 16.5% of the census, while sequences associated with host-associated environments represent 55.0% of the census. Continued use of traditional approaches and new technologies such as single-cell genomics and short-read assembly are likely to improve our ability to sample rare OTUs if it is possible to overcome this sampling bias. The success of ongoing efforts to use short-read sequencing to characterize archaeal and bacterial communities requires that researchers strive to expand the depth and breadth of this census. IMPORTANCE The biodiversity contained within the bacterial and archaeal domains dwarfs that of the eukaryotes, and the services these organisms provide to the biosphere are critical. Surprisingly, we have done a relatively poor job of formally tracking the quality of the biodiversity as represented in full-length 16S rRNA genes. By understanding how this census is proceeding, it is possible to suggest the best allocation of resources for advancing the census. We found that the ongoing effort has done an excellent job of sampling the most abundant organisms but struggles to sample the rarer organisms. Through the use of new sequencing technologies, we should be able to obtain full-length sequences from these rare organisms. Furthermore, we suggest that by allocating more resources to sampling environments known to have the greatest biodiversity, we will be able to make significant advances in our characterization of archaeal and bacterial diversity.

scholarly journals Although host-related factors are important for the formation of gut microbiota, environmental factors cannot be ignored

2020 ◽  
Author(s):  
YeonGyun Jung ◽  
Dorsaf Kerfahi ◽  
Huy Quang Pham ◽  
HyunWoo Son ◽  
Jerald Conrad Ibal ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Genetic Background ◽  
Intestinal Microflora ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Related Factors ◽  
Present Evidence ◽  
The Difference

The gut microbiome is essential to human health. However, little is known about the influence of the environment versus host-related factors (e.g. genetic background, sex, age, and body mass) in the formation of human intestinal microflora. Here, we present evidence in support of the importance of host-related factors in the establishment and maintenance of individual gut assemblages. We collected fecal samples (n = 249) from 44 Korean naval trainees and 39 healthy people living in Korea over eight weeks and sequenced the bacterial 16S rRNA genes. The following hypotheses were tested: 1) microbiome function is linked to its diversity, community structure, and genetic host-related factors, and 2) preexisting host-related factors have a more significant effect on gut microbiome formation and composition than environmental factors. For each individual, the difference between the initial gut microbiota and that after eight weeks was negligible even though the 44 naval trainees lived in the same area and received the same diet, the same amount of exercise, and the same amount of physical stress during the study. This suggests that host-related factors, rather than environmental factors, is a key determinant of individual gut microflora. Moreover, eight weeks of physical training and experiencing the same environmental conditions resulted in an increase in the species Bifidobacterium, Faecalibacterium, and Roseburia in most trainees, suggesting a healthier intestinal environment.

scholarly journals Investigation of Sources, Diversity, and Variability of Bacterial Aerosols in Athens, Greece: A Pilot Study

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 45
Author(s):  
Angelina Metaxatos ◽  
Sydonia Manibusan ◽  
Gediminas Mainelis
Keyword(s):  
Field Application ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Airborne Bacteria ◽  
Urban Air ◽  
Operational Taxonomic Units ◽  
Bacterial Aerosol ◽  
Bacterial Aerosols ◽  
Taxonomic Categories

We characterized the composition, diversity, and potential bacterial aerosol sources in Athens’ urban air by DNA barcoding (analysis of 16S rRNA genes) during three seasons in 2019. Air samples were collected using the recently developed Rutgers Electrostatic Passive Sampler (REPS). It is the first field application of REPS to study bacterial aerosol diversity. REPS samplers captured a sufficient amount of biological material to demonstrate the diversity of airborne bacteria and their variability over time. Overall, in the air of Athens, we detected 793 operational taxonomic units (OTUs), which were fully classified into the six distinct taxonomic categories (Phylum, Class, Order, etc.). These OTUs belonged to Phyla Actinobacteria, Firmicutes, Proteobacteria, Bacteroidetes, Cyanobacteria, and Fusobacteria. We found a complex community of bacterial aerosols with several opportunistic or potential pathogens in Athens’ urban air. Referring to the available literature, we discuss the likely sources of observed airborne bacteria, including soil, plants, animals, and humans. Our results on bacterial diversity are comparable to earlier studies, even though the sampling sites are different or geographically distant. However, the exact functional and ecological role of bioaerosols and, even more importantly, their impact on public health and the ecosystem requires further air monitoring and analysis.

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