scholarly journals Biofilm microbiome in extracorporeal membrane oxygenator catheters

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257449
Author(s):  
Yeuni Yu ◽  
Yun Hak Kim ◽  
Woo Hyun Cho ◽  
Bong Soo Son ◽  
Hye Ju Yeo
Keyword(s):  
Alpha Diversity ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Illumina Miseq Sequencing ◽  
Miseq Sequencing ◽  
Membrane Oxygenator ◽  
Sequencing Platform ◽  
Extracorporeal Membrane Oxygenator ◽  
The Difference

Despite the formation of biofilms on catheters for extracorporeal membrane oxygenation (ECMO), some patients do not show bacteremia. To elucidate the specific linkage between biofilms and bacteremia in patients with ECMO, an improved understanding of the microbial community within catheter biofilms is necessary. Hence, we aimed to evaluate the biofilm microbiome of ECMO catheters from adults with (n = 6) and without (n = 15) bacteremia. The microbiomes of the catheter biofilms were evaluated by profiling the V3 and V4 regions of bacterial 16s rRNA genes using the Illumina MiSeq sequencing platform. In total, 2,548,172 reads, with an average of 121,341 reads per sample, were generated. Although alpha diversity was slightly higher in the non-bacteremic group, the difference was not statistically significant. In addition, there was no difference in beta diversity between the two groups. We found 367 different genera, of which 8 were present in all samples regardless of group; Limnohabitans, Flavobacterium, Delftia, Massilia, Bacillus, Candidatus, Xiphinematobacter, and CL0-1 showed an abundance of more than 1% in the sample. In particular, Arthrobacter, SMB53, Neisseria, Ortrobactrum, Candidatus Rhabdochlamydia, Deefgae, Dyella, Paracoccus, and Pedobacter were highly abundant in the bacteremic group. Network analysis indicated that the microbiome of the bacteremic group was more complex than that of the non-bacteremic group. Flavobacterium and CL0.1, which were abundant in the bacteremic group, were considered important genera because they connected different subnetworks. Biofilm characteristics in ECMO catheters varied according to the presence or absence of bacteremia. There were no significant differences in diversity between the two groups, but there were significant differences in the community composition of the biofilms. The biofilm-associated community was dynamic, with the bacteremic group showing very complex network connections within the microbiome.

scholarly journals Biofilm Microbiome in Extracorporeal Membrane Oxygenator Catheters

2020 ◽  
Author(s):  
Yeuni Yu ◽  
Yun Hak Kim ◽  
Woo Hyun Cho ◽  
HYE JU YEO
Keyword(s):  
Alpha Diversity ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Miseq Sequencing ◽  
Membrane Oxygenator ◽  
Significant Elevation ◽  
Sequencing Platform ◽  
Extracorporeal Membrane Oxygenator ◽  
The Relationship

Abstract Background : To assess the relationship between bacteremia and biofilms in extracorporeal membrane oxygenation (ECMO) catheters.Methods: We evaluated the biofilm microbiome of ECMO catheters from adults with (n = 6) and without bacteremia (n = 15). Microbiomes of the catheter biofilms were evaluated by profiling the V3 and V4 regions of bacterial 16s rRNA genes using the Illumina Miseq sequencing platform.Results: In total, 2,548,172 reads, with an average of 121,341 reads per sample, were generated. Although alpha diversity was slightly higher in the non-bacteremic group, it was not statistically significant. Also, there was no difference in beta diversity between the two groups. At the genus level, Delftia was more abundant in the non-bacteremic group, but Bacillus, Flavobacterium, CL0-1, Candidatus, and Xiphinematobacter were more abundant in the bacteremic group. In particular, Arthrobacter, SMB53, Neisseria, Candidatus, Ortrobactrum, Candidatus, Rhabdochlamydia, Deefgae, Dyella, Paracoccus, and Pedobacter were more abundant in the bacteremic group. In a network analysis, compared to the non-bacteremic group, the microbiome of the bacteremic group was very complex. Notably, there was a significant elevation in the secretion system of the non-bacteremic group.Conclusions: Biofilm characteristics in ECMO catheters varied according to the presence or absence of bacteremia.

scholarly journals Rhizosphere Bacteriobiome of the Husk Tomato Grown in the Open Field in West Siberia

2019 ◽  
Vol 65 (4) ◽  
pp. 147-154
Author(s):  
Natalia B. Naumova ◽  
Oleg A. Savenkov ◽  
Tatiana Y. Alikina ◽  
Marsel R. Kabilov
Keyword(s):  
Open Field ◽  
Relative Abundance ◽  
Hypervariable Region ◽  
West Siberia ◽  
Illumina Miseq ◽  
Shannon Index ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Sequencing Platform ◽  
Husk Tomato

Abstract The composition and structure of rhizosphere bacteriobiome of the husk tomato (Physalis philadelphica Lam.) plants grown on Phaeozem in the open field in West Siberia, Russia (55°15’ NL, 83°31’ EL) were studied using Illumina MiSeq sequencing of the V3-V4 hypervariable region of 16S rRNA genes. In total 5898 OTUs (Operational Taxonomic Units) were found in the study, representing 20 phyla and 53 identified and 15 non-identified (below the phylum level) classes. The most OTU-rich phyla were Proteobacteria, Acidobacteria and Actinobacteria, their relative abundance in the total number of sequence reads being 26, 22 and 19%, respectively. Bacteroidetes, Gemmatimonadetes and Verrucomicrobia phyla each accounted for 2 ‒ 4%. The rest 14 of the identified phyla were quite negligible, contributing less than 0.5% each. At the OTUs level, the structure was very even and equitable, as only 7 OTUs had relative abundance ranging from 0.5 to 1.1%. The main dominant OTU represented Bradyrhizobiaceae family, implying the importance of nitrogen-fixing bacteria for plant growth and development without any mineral fertilisation. The dominance biodiversity index was very low (0.001), while Shannon index was rather high (7.5). We believe the presented husk tomato rhizosphere bacteriobiome, as the first study using new generation sequencing platform for this species, will help get a better picture of Solanaceae microbiomes in different environments, thus contributing to a more comprehensive understanding of shaping microbial communities by plant roots.

scholarly journals Illumina MiSeq Sequencing for Preliminary Analysis of Microbiome Causing Primary Endodontic Infections in Egypt

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Sally Ali Tawfik ◽  
Marwa Mohamed Azab ◽  
Ali Abdellah Abdelrahman Ahmed ◽  
Dalia Mukhtar Fayyad
Keyword(s):  
Pcr Amplification ◽  
Illumina Miseq ◽  
Oral Microbiome ◽  
University Hospital ◽  
Rrna Gene ◽  
Illumina Miseq Sequencing ◽  
Miseq Sequencing ◽  
Soil Dna ◽  
Sequencing Platform ◽  
Endodontic Infections

The use of high throughput next generation technologies has allowed more comprehensive analysis than traditional Sanger sequencing. The specific aim of this study was to investigate the microbial diversity of primary endodontic infections using Illumina MiSeq sequencing platform in Egyptian patients. Samples were collected from 19 patients in Suez Canal University Hospital (Endodontic Department) using sterile # 15K file and paper points. DNA was extracted using Mo Bio power soil DNA isolation extraction kit followed by PCR amplification and agarose gel electrophoresis. The microbiome was characterized on the basis of the V3 and V4 hypervariable region of the 16S rRNA gene by using paired-end sequencing on Illumina MiSeq device. MOTHUR software was used in sequence filtration and analysis of sequenced data. A total of 1858 operational taxonomic units at 97% similarity were assigned to 26 phyla, 245 families, and 705 genera. Four main phyla Firmicutes, Bacteroidetes, Proteobacteria, and Synergistetes were predominant in all samples. At genus level,Prevotella,Bacillus,Porphyromonas,Streptococcus, andBacteroideswere the most abundant. Illumina MiSeq platform sequencing can be used to investigate oral microbiome composition of endodontic infections. Elucidating the ecology of endodontic infections is a necessary step in developing effective intracanal antimicrobials.

scholarly journals Assessment of total bacterial diversity in whiteleg shrimps and its aquaculture environment in Pangkajene and Banyuwangi, Indonesia

2021 ◽  
pp. 26-37
Author(s):  
Yuni Puji Hastuti ◽  
Yuli Siti Fatma ◽  
Hardi Pitoyo ◽  
Wildan Nurussalam ◽  
Jajang Ruhyana
Keyword(s):  
Community Structure ◽  
Bacterial Community ◽  
Bacterial Diversity ◽  
Bacterial Community Structure ◽  
Amplicon Sequencing ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Bacterial Composition ◽  
Sequencing Platform ◽  
The Difference

Detection of bacterial diversity in whiteleg shrimps and its rearing water is a vital first step in monitoring aquaculture activities. Bacterial community imbalance in whiteleg shrimps and its rearing water influences the quality and quantity of shrimp production. Identifying the bacterial community provides basic information related to dominant bacterial groups in whiteleg shrimps and environments, providing recommendations for proper environmental monitoring and management. In this study, we investigated bacterial community structure in the rearing water and intestinal tract of whiteleg shrimp (Litopenaeus vannamei) collected from two sites, i.e., Pangkajene, South Sulawesi (SU) and Banyuwangi, East Java (BW), Indonesia. The bacterial community was analyzed using amplicon sequencing with Illumina sequencing platform based on the V3-V4 region of the 16S rRNA genes. Bacterial diversity and composition were found differed between the rearing water and the shrimps’ intestines. Bacterial diversity in the rearing water of Banyuwangi (W.BW) was higher than that of Pangkajene (W.SU). Proteobacteria, Bacteroidetes, and Firmicutes were found as the most dominant phyla in rearing water from both farms, while distinct bacterial composition was observed in the shrimps’ intestines. The shrimp intestine from Banyuwangi (U.BW) was dominated by Firmicutes (22.36%), Proteobacteria (22.33%), and Verrucomicrobia (21.11%). In contrast, the shrimp intestine from Pangkajene (U.SU) was highly dominated by Tenericutes (88.54%), followed by Proteobacteria (4.66%), and Firmicutes (2.27%). The difference in bacterial community structure between the rearing water and shrimps’ intestines suggested that the host intestinal environment might have greater selective pressure for bacterial composition inhabiting L.vannamei intestines. Our observations suggest that the shrimps cultured in the rearing water with the similar dominant bacterial group have specific intestinal bacterial diversity.

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 Pollutant-Removing Biofilter Strains Associated with High Ammonia and Hydrogen Sulfide Removal Rate in a Livestock Wastewater Treatment Facility

2021 ◽  
Vol 13 (13) ◽  
pp. 7358
Author(s):  
Dong-Hyun Kim ◽  
Hyun-Sik Yun ◽  
Young-Saeng Kim ◽  
Jong-Guk Kim
Keyword(s):  
Wastewater Treatment ◽  
Hydrogen Sulfide ◽  
Microbial Community ◽  
Microbial Communities ◽  
Illumina Miseq ◽  
Illumina Miseq Sequencing ◽  
Miseq Sequencing ◽  
Treatment Facility ◽  
Livestock Wastewater ◽  
Wastewater Treatment Facility

This study analyzed the microbial community metagenomically to determine the cause of the functionality of a livestock wastewater treatment facility that can effectively remove pollutants, such as ammonia and hydrogen sulfide. Illumina MiSeq sequencing was used in analyzing the composition and structure of the microbial community, and the 16S rRNA gene was used. Through Illumina MiSeq sequencing, information such as diversity indicators as well as the composition and structure of microbial communities present in the livestock wastewater treatment facility were obtained, and differences between microbial communities present in the investigated samples were compared. The number of reads, operational taxonomic units, and species richness were lower in influent sample (NLF), where the wastewater enters, than in effluent sample (NL), in which treated wastewater is found. This difference was greater in June 2019 than in January 2020, and the removal rates of ammonia (86.93%) and hydrogen sulfide (99.72%) were also higher in June 2019. In both areas, the community composition was similar in January 2020, whereas the influent sample (NLF) and effluent sample (NL) areas in June 2019 were dominated by Proteobacteria (76.23%) and Firmicutes (67.13%), respectively. Oleiphilaceae (40.89%) and Thioalkalibacteraceae (12.91%), which are related to ammonia and hydrogen sulfide removal, respectively, were identified in influent sample (NLF) in June 2019. They were more abundant in June 2019 than in January 2020. Therefore, the functionality of the livestock wastewater treatment facility was affected by characteristics, including the composition of the microbial community. Compared to Illumina MiSeq sequencing, fewer species were isolated and identified in both areas using culture-based methods, suggesting Illumina MiSeq sequencing as a powerful tool to determine the relevance of microbial communities for pollutant removal.

Analysis of bacterial diversity of Chinese Luzhou-flavor liquor brewed in different seasons by Illumina Miseq sequencing

2016 ◽  
Vol 66 (3) ◽  
pp. 1293-1301 ◽  
Author(s):  
Weining Sun ◽  
Huazhi Xiao ◽  
Qian Peng ◽  
Qiaoge Zhang ◽  
Xingxing Li ◽  
...  
Keyword(s):  
Bacterial Diversity ◽  
Illumina Miseq ◽  
Illumina Miseq Sequencing ◽  
Miseq Sequencing ◽  
Different Seasons

scholarly journals Comparing dental plaque microbiome diversity of extrinsic black stain in the primary dentition using Illumina MiSeq sequencing technique

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Lulu Chen ◽  
Qiong Zhang ◽  
Yan Wang ◽  
Keke Zhang ◽  
Jing Zou
Keyword(s):  
Relative Abundance ◽  
Dental Plaque ◽  
Illumina Miseq ◽  
Primary Dentition ◽  
Tooth Surface ◽  
Oral Microbiota ◽  
Illumina Miseq Sequencing ◽  
Miseq Sequencing ◽  
Cross Sectional ◽  
Sequencing Technique

Abstract Background Extrinsic black stain (EBS) is characterized by discrete dark dots or lines on the tooth surface. The relationship between EBS and oral microbiota in children remains elusive. The aim of this study was to compare dental plaque microbiome in EBS children with that in EBS-free children in the primary dentition. Methods The Illumina MiSeq sequencing technique was utilized in the cross-sectional pilot study to investigate the diversity and composition of the supragingival plaque microbiota from 10 EBS-positive and 10 EBS-free children. The results were analysed with nonparametric Mann-Whitney U test, Pearson Chi-Square test, Fisher’s Exact test and one-way ANOVA tests. Results We identified 13 different phyla, 22 classes, 33 orders, 54 families, 105 genera, and 227 species from a total of 52,646 high-quality sequences. Between two groups, no statistical differences were observed in the estimators of community richness and diversity at 97% similarity, as well as in the Unweighted Unifrac principal co-ordinates analysis (PCoA). At the species level, higher level of relative abundance of Actinomyces naeslundii and lower level of relative abundance of a species belonging to Candidate_division_TM7 was observed in dental plaque of EBS-positive subjects, compared to dental plaque of EBS-free subjects (P < 0.05). This indicated that some species might be involved in the EBS process. Conclusion Changes in dental plaque microbiota is possibly relevant to the process of EBS in the primary dentition.

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 Sputum Microbiome Composition in Patients With Squamous Cell Lung Carcinoma

2021 ◽  
Author(s):  
E. D. Baranova ◽  
V. G. Druzhinin ◽  
L. V. Matskova ◽  
P. S. Demenkov ◽  
V. P . Volobaev ◽  
...  
Keyword(s):  
Squamous Cell ◽  
Inflammatory Responses ◽  
Alpha Diversity ◽  
Taxonomic Composition ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Cell Lung Carcinoma ◽  
Microbiome Composition ◽  
Β Diversity ◽  
Genome Damage

Abstract Recent findings indicate that the microbiome can have a significant impact on the development of lung cancer by inducing inflammatory responses, causing dysbiosis and generating genome damage. The aim of this study was to search for bacterial markers of squamous cell carcinoma (LUSC). In the study, the taxonomic composition of the sputum microbiome of 40 men with untreated LUSC was compared with 40 healthy controls. Next Generation sequencing of bacterial 16S rRNA genes was used to determine the taxonomic composition of the respiratory microbiome. There was no differences in alpha diversity between the LUSC and control groups. Meanwhile, differences in the structure of bacterial communities (β diversity) among patients and controls differed significantly in sputum samples (pseudo-F = 1.65; p = 0.026). Only Streptococcus, Bacillus, Gemella and Haemophilus were found to be significantly increased in patients with LUSC compared to the control subjects, while 19 bacterial genera were significantly reduced, indicating a decrease in beta diversity in the microbiome of patients with LUSC. From our study, Streptococcus (Streptococcus agalactiae) emerges as the most likely LUSC biomarker, but more research is needed to confirm this assumption.

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