scholarly journals Characterization of the salivary microbiome in patients with pancreatic cancer

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1373 ◽  
Author(s):  
Pedro J. Torres ◽  
Erin M. Fletcher ◽  
Sean M. Gibbons ◽  
Michael Bouvet ◽  
Kelly S. Doran ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
16S Rrna ◽  
Cancer Patients ◽  
High Throughput ◽  
Digestive Disease ◽  
High Throughput Sequencing ◽  
Clinical Manifestations ◽  
Cancer Center ◽  
Rrna Gene ◽  
Relative Abundances

Clinical manifestations of pancreatic cancer often do not occur until the cancer has undergone metastasis, resulting in a very low survival rate. In this study, we investigated whether salivary bacterial profiles might provide useful biomarkers for early detection of pancreatic cancer. Using high-throughput sequencing of bacterial small subunit ribosomal RNA (16S rRNA) gene, we characterized the salivary microbiota of patients with pancreatic cancer and compared them to healthy patients and patients with other diseases, including pancreatic disease, non-pancreatic digestive disease/cancer and non-digestive disease/cancer. A total of 146 patients were enrolled at the UCSD Moores Cancer Center where saliva and demographic data were collected from each patient. Of these, we analyzed the salivary microbiome of 108 patients: 8 had been diagnosed with pancreatic cancer, 78 with other diseases and 22 were classified as non-diseased (healthy) controls. Bacterial 16S rRNA sequences were amplified directly from salivary DNA extractions and subjected to high-throughput sequencing (HTS). Several bacterial genera differed in abundance in patients with pancreatic cancer. We found a significantly higher ratio ofLeptotrichiatoPorphyromonasin the saliva of patients with pancreatic cancer than in the saliva of healthy patients or those with other disease (Kruskal–Wallis Test;P< 0.001).Leptotrichiaabundances were confirmed using real-time qPCR withLeptotrichiaspecific primers. Similar to previous studies, we found lower relative abundances ofNeisseriaandAggregatibacterin the saliva of pancreatic cancer patients, though these results were not significant at theP< 0.05 level (K–W Test;P= 0.07 andP= 0.09 respectively). However, the relative abundances of other previously identified bacterial biomarkers, e.g.,Streptococcus mitisandGranulicatella adiacens, were not significantly different in the saliva of pancreatic cancer patients. Overall, this study supports the hypothesis that bacteria abundance profiles in saliva are useful biomarkers for pancreatic cancer though much larger patient studies are needed to verify their predictive utility.

scholarly journals Restructuring of the Aquatic Bacterial Community by Hydric Dynamics Associated with Superstorm Sandy

2016 ◽  
Vol 82 (12) ◽  
pp. 3525-3536 ◽  
Author(s):  
Nikea Ulrich ◽  
Abigail Rosenberger ◽  
Colin Brislawn ◽  
Justin Wright ◽  
Collin Kessler ◽  
...  
Keyword(s):  
Community Structure ◽  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
Bacterial Community Structure ◽  
High Throughput Sequencing ◽  
Storm Event ◽  
Rrna Gene ◽  
Content Type

ABSTRACTBacterial community composition and longitudinal fluctuations were monitored in a riverine system during and after Superstorm Sandy to better characterize inter- and intracommunity responses associated with the disturbance associated with a 100-year storm event. High-throughput sequencing of the 16S rRNA gene was used to assess microbial community structure within water samples from Muddy Creek Run, a second-order stream in Huntingdon, PA, at 12 different time points during the storm event (29 October to 3 November 2012) and under seasonally matched baseline conditions. High-throughput sequencing of the 16S rRNA gene was used to track changes in bacterial community structure and divergence during and after Superstorm Sandy. Bacterial community dynamics were correlated to measured physicochemical parameters and fecal indicator bacteria (FIB) concentrations. Bioinformatics analyses of 2.1 million 16S rRNA gene sequences revealed a significant increase in bacterial diversity in samples taken during peak discharge of the storm. Beta-diversity analyses revealed longitudinal shifts in the bacterial community structure. Successional changes were observed, in whichBetaproteobacteriaandGammaproteobacteriadecreased in 16S rRNA gene relative abundance, while the relative abundance of members of theFirmicutesincreased. Furthermore, 16S rRNA gene sequences matching pathogenic bacteria, including strains ofLegionella,Campylobacter,Arcobacter, andHelicobacter, as well as bacteria of fecal origin (e.g.,Bacteroides), exhibited an increase in abundance after peak discharge of the storm. This study revealed a significant restructuring of in-stream bacterial community structure associated with hydric dynamics of a storm event.IMPORTANCEIn order to better understand the microbial risks associated with freshwater environments during a storm event, a more comprehensive understanding of the variations in aquatic bacterial diversity is warranted. This study investigated the bacterial communities during and after Superstorm Sandy to provide fine time point resolution of dynamic changes in bacterial composition. This study adds to the current literature by revealing the variation in bacterial community structure during the course of a storm. This study employed high-throughput DNA sequencing, which generated a deep analysis of inter- and intracommunity responses during a significant storm event. This study has highlighted the utility of applying high-throughput sequencing for water quality monitoring purposes, as this approach enabled a more comprehensive investigation of the bacterial community structure. Altogether, these data suggest a drastic restructuring of the stream bacterial community during a storm event and highlight the potential of high-throughput sequencing approaches for assessing the microbiological quality of our environment.

scholarly journals Comparison of the Fecal Microbiota of Healthy Horses and Horses with Colitis by High Throughput Sequencing of the V3-V5 Region of the 16S rRNA Gene

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41484 ◽  
Author(s):  
Marcio C. Costa ◽  
Luis G. Arroyo ◽  
Emma Allen-Vercoe ◽  
Henry R. Stämpfli ◽  
Peter T. Kim ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
The 16S Rrna Gene

scholarly journals Composition and Origin of the Fermentation Microbiota of Mahewu, a Zimbabwean Fermented Cereal Beverage

2019 ◽  
Vol 85 (11) ◽  
Author(s):  
Felicitas Pswarayi ◽  
Michael G. Gänzle
Keyword(s):  
16S Rrna ◽  
Quantitative Pcr ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Starter Cultures ◽  
Rrna Gene ◽  
Culture Methods ◽  
Content Type ◽  
Cell Counts

ABSTRACTMahewu is a fermented cereal beverage produced in Zimbabwe. This study determined the composition and origin of mahewu microbiota. The microbiota of mahewu samples consisted of 3 to 7 dominant strains of lactobacilli and two strains of yeasts.Enterobacteriaceaewere not detected.Candida glabratawas present in high cell counts from samples collected in summer but not from samples collected in winter. Millet malt is the only raw ingredient used in the production of mahewu and is a likely source of fermentation microbiota; therefore, malt microbiota was also analyzed by culture-dependent and high-throughput 16S rRNA gene sequencing methodologies. Millet malt contained 8 to 19 strains ofEnterobacteriaceae, lactobacilli, bacilli, and very few yeasts. Strain-specific quantitative PCR assays were established on the basis of the genome sequences ofLactobacillus fermentumFUA3588 and FUA3589 andLactobacillus plantarumFUA3590 to obtain a direct assessment of the identity of strains from malt and mahewu.L. fermentumFUA3588 and FUA3589 were detected in millet malt, demonstrating that millet malt is a main source of mahewu microbiota. Strains which were detected in summer were not detected in samples produced at the same site in winter. Model mahewu fermentations conducted with a 5-strain inoculum consisting of lactobacilli,Klebsiella pneumoniae,andCronobacter sakazakiidemonstrated that lactobacilli outcompeteEnterobacteriaceae, which sharply decreased in the first 24 h. In conclusion, mahewu microbiota is mainly derived from millet malt microbiota, but minor components of malt microbiota rapidly outcompeteEnterobacteriaceaeandBacillusspecies during fermentation.IMPORTANCEThis study provides insight into the composition and origin of the microbiota of mahewu and the composition of millet malt microbiota. Fermentation microbiota are often hypothesized to be derived from the environment, but the evidence remains inconclusive. Our findings confirm that millet malt is the major source of mahewu microbiota. By complementing culture methods with high-throughput sequencing of 16S rRNA amplicons and strain-specific quantitative PCR, this study provides evidence about the source of mahewu microbiota, which can inform the development of starter cultures for mahewu production. The study also documents the fate ofEnterobacteriaceaeduring the fermentation of mahewu. There are concerns regarding the safety of traditionally prepared mahewu, and this requires in-depth knowledge of the fermentation process. Therefore, this study elucidated millet malt microbiota and identified cultures that are able to control the high numbers ofEnterobacteriaceaethat are initially present in mahewu fermentations.

scholarly journals High-Throughput Sequencing of 16S rRNA Gene Amplicons: Effects of Extraction Procedure, Primer Length and Annealing Temperature

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e38094 ◽  
Author(s):  
Martin J. Sergeant ◽  
Chrystala Constantinidou ◽  
Tristan Cogan ◽  
Charles W. Penn ◽  
Mark J. Pallen
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Annealing Temperature ◽  
Extraction Procedure ◽  
Rrna Gene
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