scholarly journals 16S rRNA gene profiling and genome reconstruction reveal community metabolic interactions and prebiotic potential of medicinal herbs used in neurodegenerative disease and as nootropics

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213869 ◽  
Author(s):  
Christine Tara Peterson ◽  
Vandana Sharma ◽  
Stanislav N. Iablokov ◽  
Levent Albayrak ◽  
Kamil Khanipov ◽  
...  
2020 ◽  
Author(s):  
Giorgio Gargari ◽  
Valentina Taverniti ◽  
Cristian Del Bo’ ◽  
Stefano Bernardi ◽  
Cristina Andres-Lacueva ◽  
...  

AbstractThe increased presence of bacteria in blood is a plausible contributing factor in the development and progression of aging-associated diseases. In this context, we performed the quantification and the taxonomic profiling of the bacterial DNA in blood samples collected from a group of forty-three older subjects enrolled in a nursing home. Quantitative PCR targeting the 16S rRNA gene revealed that all the older volunteers contained detectable amounts of bacterial DNA in their blood. The total amount of 16S rRNA gene copies varied considerably between subjects. Correlation analyses revealed that the bacterial DNAemia (expressed as concentration of 16S rRNA gene copies in blood) significantly correlated with the serum levels of zonulin, an emerging marker of intestinal permeability. This result was confirmed by the analysis of a second set of blood samples collected after approximately four months from the same subjects. Analyses of 16S rRNA gene profiling revealed that most of the bacterial DNA detected in blood was ascribable to the phylum Proteobacteria with a predominance of Pseudomonadaceae and Enterobacteriaceae. Several control samples were also analyzed to assess the influence exerted by contaminant bacterial DNA potentially originating from reagents and materials. The date reported here suggest that para-cellular permeability of epithelial (and potentially also endothelial) cell layers may play an important role in bacterial migration into the bloodstream. Bacterial DNAemia is likely to impact on several aspects of host physiology and could underpin the development and prognosis of various diseases in older subjects.


PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0204600
Author(s):  
Renee M. Petri ◽  
Poulad Pourazad ◽  
Ratchaneewan Khiaosa-ard ◽  
Fenja Klevenhusen ◽  
Barbara U. Metzler-Zebeli ◽  
...  

2020 ◽  
Vol 32 (1) ◽  
pp. 1034-1041
Author(s):  
Zubia Rashid ◽  
Syed Muddassar Hussain Gilani ◽  
Asma Ashraf ◽  
Sitwat Zehra ◽  
Abid Azhar ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giorgio Gargari ◽  
Giacomo Mantegazza ◽  
Valentina Taverniti ◽  
Cristian Del Bo’ ◽  
Stefano Bernardi ◽  
...  

AbstractThe increased presence of bacteria in blood is a plausible contributing factor in the development and progression of aging-associated diseases. In this context, we performed the quantification and the taxonomic profiling of the bacterial DNA in blood samples collected from forty-three older subjects enrolled in a nursing home. Quantitative PCR targeting the 16S rRNA gene revealed that all samples contained detectable amounts of bacterial DNA with a concentration that varied considerably between subjects. Correlation analyses revealed that the bacterial DNAemia (expressed as concentration of 16S rRNA gene copies in blood) significantly associated with the serum levels of zonulin, a marker of intestinal permeability. This result was confirmed by the analysis of a second set of blood samples collected from the same subjects. 16S rRNA gene profiling revealed that most of the bacterial DNA detected in blood was ascribable to the phylum Proteobacteria with a predominance of the genus Pseudomonas. Several control samples were also analyzed to assess the influence of contaminant bacterial DNA potentially originating from reagents and materials. The data reported here suggest that para-cellular permeability of epithelial (and, potentially, endothelial) cell layers may play an important role in bacterial migration into the bloodstream. Bacterial DNAemia is likely to impact on several aspects of host physiology and could underpin the development and prognosis of various diseases in older subjects.


2021 ◽  
Vol 12 ◽  
Author(s):  
Hannah E. Epstein ◽  
Alejandra Hernandez-Agreda ◽  
Samuel Starko ◽  
Julia K. Baum ◽  
Rebecca Vega Thurber

16S rRNA gene profiling (amplicon sequencing) is a popular technique for understanding host-associated and environmental microbial communities. Most protocols for sequencing amplicon libraries follow a standardized pipeline that can differ slightly depending on laboratory facility and user. Given that the same variable region of the 16S gene is targeted, it is generally accepted that sequencing output from differing protocols are comparable and this assumption underlies our ability to identify universal patterns in microbial dynamics through meta-analyses. However, discrepant results from a combined 16S rRNA gene dataset prepared by two labs whose protocols differed only in DNA polymerase and sequencing platform led us to scrutinize the outputs and challenge the idea of confidently combining them for standard microbiome analysis. Using technical replicates of reef-building coral samples from two species, Montipora aequituberculata and Porites lobata, we evaluated the consistency of alpha and beta diversity metrics between data resulting from these highly similar protocols. While we found minimal variation in alpha diversity between platform, significant differences were revealed with most beta diversity metrics, dependent on host species. These inconsistencies persisted following removal of low abundance taxa and when comparing across higher taxonomic levels, suggesting that bacterial community differences associated with sequencing protocol are likely to be context dependent and difficult to correct without extensive validation work. The results of this study encourage caution in the statistical comparison and interpretation of studies that combine rRNA gene sequence data from distinct protocols and point to a need for further work identifying mechanistic causes of these observed differences.


2016 ◽  
Vol 122 ◽  
pp. 105-112 ◽  
Author(s):  
Sukriye Celikkol-Aydin ◽  
Christine C. Gaylarde ◽  
Tim Lee ◽  
Robert E. Melchers ◽  
Devin L. Witt ◽  
...  

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