scholarly journals Phenotypic and phylogenetic characterization of Lactobacillus species isolated from traditional Lighvan cheese

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Haleh Forouhandeh ◽  
Sepideh Zununi Vahed ◽  
Hossein Ahangari ◽  
Vahideh Tarhriz ◽  
Mohammad Saeid Hejazi
Keyword(s):  
16S Rrna ◽  
Random Amplified Polymorphic Dna ◽  
Bacterial Species ◽  
16S Rrna Sequencing ◽  
Lactobacillus Species ◽  
Culture Methods ◽  
Phylogenetic Characterization ◽  
Rrna Sequencing ◽  
Specific Culture ◽  
Lighvan Cheese

Abstract Lighvan cheese (Lighvan panir) is among the most famous traditional cheese in Iran for its desired aroma and flavor. Undoubtedly, the lactic acid bacteria especially the genus Lactobacillus are the critical factors in developing the aroma, flavor, and texture in Lighvan cheese. In this study, the Lactobacillus population of the main Lighvan cheese was investigated. The Lactobacillus of the main Lighvan cheese was isolated using specific culture methods according to previously published Guidelines. Then, the phylogenetic features were investigated and the phenotypic characteristics were examined using specific culture methods. Twenty-eight Gram-positive bacterial species were identified belonged to the genus Lactobacillus. According to the same sequences as each other, three groups (A, B, and C) of isolates were categorized with a high degree of similarity to L. fermentum (100%) and L. casei group (L. casei, L. paracasei, and L. rhamnosus) (99.0 to 100%). Random amplified polymorphic DNA (RAPD) fingerprint analysis manifested the presence of three clusters that were dominant in traditional Lighvan cheese. Cluster І was divided into 4 sub-clusters. By the result of carbohydrate fermentation pattern and 16S rRNA sequencing, isolates were identified as L. rhamnosus. The isolates in clusters II and III represented L. paracasei and L. fermentum, respectively as they were identified by 16S rRNA sequencing and fermented carbohydrate patterns. Our result indicated that the specific aroma and flavor of traditional Lighvan cheese can be related to its Lactobacillus population including L. fermentum, L. casei, L. paracasei, and L. rhamnosus. Graphical abstract

scholarly journals Transient Effect of Infant Formula Supplementation on the Intestinal Microbiota

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 807
Author(s):  
Ning Chin ◽  
Gema Méndez-Lagares ◽  
Diana H. Taft ◽  
Victoria Laleau ◽  
Hung Kieu ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiome ◽  
Bacterial Species ◽  
Bifidobacterium Longum ◽  
The United States ◽  
16S Rrna Sequencing ◽  
T Cell Subsets ◽  
Rrna Sequencing ◽  
Stool Samples ◽  
The Impact

Breastfeeding is the gold standard for feeding infants because of its long-term benefits to health and development, but most infants in the United States are not exclusively breastfed in the first six months. We enrolled 24 infants who were either exclusively breastfed or supplemented with formula by the age of one month. We collected diet information, stool samples for evaluation of microbiotas by 16S rRNA sequencing, and blood samples for assessment of immune development by flow cytometry from birth to 6 months of age. We further typed the Bifidobacterium strains in stool samples whose 16S rRNA sequencing showed the presence of Bifidobacteriaceae. Supplementation with formula during breastfeeding transiently changed the composition of the gut microbiome, but the impact dissipated by six months of age. For example, Bifidobacterium longum, a bacterial species highly correlated with human milk consumption, was found to be significantly different only at 1 month of age but not at later time points. No immunologic differences were found to be associated with supplementation, including the development of T-cell subsets, B cells, or monocytes. These data suggest that early formula supplementation, given in addition to breast milk, has minimal lasting impact on the gut microbiome or immunity.

scholarly journals Machine Learning Approach Identified Multi-Platform Factors for Caries Prediction in Child-Mother Dyads

2021 ◽  
Vol 11 ◽  
Author(s):  
Tong Tong Wu ◽  
Jin Xiao ◽  
Michael B. Sohn ◽  
Kevin A. Fiscella ◽  
Christie Gilbert ◽  
...  
Keyword(s):  
Machine Learning ◽  
Environmental Factors ◽  
16S Rrna ◽  
Bacterial Species ◽  
Fungal Species ◽  
Oral Microbiome ◽  
16S Rrna Sequencing ◽  
Tooth Decay ◽  
Impact Machine ◽  
Rrna Sequencing

Untreated tooth decays affect nearly one third of the world and is the most prevalent disease burden among children. The disease progression of tooth decay is multifactorial and involves a prolonged decrease in pH, resulting in the demineralization of tooth surfaces. Bacterial species that are capable of fermenting carbohydrates contribute to the demineralization process by the production of organic acids. The combined use of machine learning and 16s rRNA sequencing offers the potential to predict tooth decay by identifying the bacterial community that is present in an individual’s oral cavity. A few recent studies have demonstrated machine learning predictive modeling using 16s rRNA sequencing of oral samples, but they lack consideration of the multifactorial nature of tooth decay, as well as the role of fungal species within their models. Here, the oral microbiome of mother–child dyads (both healthy and caries-active) was used in combination with demographic–environmental factors and relevant fungal information to create a multifactorial machine learning model based on the LASSO-penalized logistic regression. For the children, not only were several bacterial species found to be caries-associated (Prevotella histicola, Streptococcus mutans, and Rothia muciloginosa) but also Candida detection and lower toothbrushing frequency were also caries-associated. Mothers enrolled in this study had a higher detection of S. mutans and Candida and a higher plaque index. This proof-of-concept study demonstrates the significant impact machine learning could have in prevention and diagnostic advancements for tooth decay, as well as the importance of considering fungal and demographic–environmental factors.

Haemophilus parainfluenzaeInfective Endocarditis Diagnosed by Direct 16S rRNA Sequencing of Vegetation

2012 ◽  
Vol 2 (2) ◽  
pp. 111
Author(s):  
Sung-Hee Oh ◽  
Min-Chul Cho ◽  
Jae-Wook Kim ◽  
Dongheui An ◽  
Mun-Hui Jeong ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Sequencing ◽  
Rrna Sequencing

Full-length versus short amplicon 16S rRNA sequencing: benefits, drawbacks and risks

2020 ◽  
Author(s):  
Isabel Abellan-Schneyder ◽  
Andrea Janina Bayer ◽  
Sandra Reitmeier ◽  
Klaus Neuhaus
Keyword(s):  
16S Rrna ◽  
Full Length ◽  
16S Rrna Sequencing ◽  
Rrna Sequencing

Full-length versus short amplicon 16S rRNA sequencing: benefits, drawbacks and risks

2020 ◽  
Author(s):  
Andrea Janina Bayer ◽  
Sandra Reitmeier ◽  
Klaus Neuhaus ◽  
Isabel Abellan-Schneyder
Keyword(s):  
16S Rrna ◽  
Full Length ◽  
16S Rrna Sequencing ◽  
Rrna Sequencing

scholarly journals Coupled DNA-labeling and sequencing approach enables the detection of viable-but-non-culturable Vibrio spp. in irrigation water sources in the Chesapeake Bay watershed

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Leena Malayil ◽  
Suhana Chattopadhyay ◽  
Emmanuel F. Mongodin ◽  
Amy R. Sapkota
Keyword(s):  
16S Rrna ◽  
Irrigation Water ◽  
Brackish Water ◽  
Water Sources ◽  
16S Rrna Sequencing ◽  
Vbnc State ◽  
Recycled Water ◽  
Dna Labeling ◽  
Rrna Sequencing ◽  
Brdu Labeling

AbstractNontraditional irrigation water sources (e.g., recycled water, brackish water) may harbor human pathogens, including Vibrio spp., that could be present in a viable-but-nonculturable (VBNC) state, stymieing current culture-based detection methods. To overcome this challenge, we coupled 5-bromo-2′-deoxyuridine (BrdU) labeling, enrichment techniques, and 16S rRNA sequencing to identify metabolically-active Vibrio spp. in nontraditional irrigation water (recycled water, pond water, non-tidal freshwater, and tidal brackish water). Our coupled BrdU-labeling and sequencing approach revealed the presence of metabolically-active Vibrio spp. at all sampling sites. Whereas, the culture-based method only detected vibrios at three of the four sites. We observed the presence of V. cholerae, V. vulnificus, and V. parahaemolyticus using both methods, while V. aesturianus and V. shilonii were detected only through our labeling/sequencing approach. Multiple other pathogens of concern to human health were also identified through our labeling/sequencing approach including P. shigelloides, B. cereus and E. cloacae. Most importantly, 16S rRNA sequencing of BrdU-labeled samples resulted in Vibrio spp. detection even when our culture-based methods resulted in negative detection. This suggests that our novel approach can effectively detect metabolically-active Vibrio spp. that may have been present in a VBNC state, refining our understanding of the prevalence of vibrios in nontraditional irrigation waters.

scholarly journals Antibiotic-Induced Dysbiosis of Microbiota Promotes Chicken Lipogenesis by Altering Metabolomics in the Cecum

Metabolites ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 487
Author(s):  
Tao Zhang ◽  
Hao Ding ◽  
Lan Chen ◽  
Yueyue Lin ◽  
Yongshuang Gong ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
High Performance ◽  
Fat Deposition ◽  
16S Rrna Sequencing ◽  
Oral Antibiotics ◽  
Ms Analysis ◽  
Rrna Sequencing ◽  
Cecal Microbiota ◽  
Metabolite Network

Elucidation of the mechanism of lipogenesis and fat deposition is essential for controlling excessive fat deposition in chicken. Studies have shown that gut microbiota plays an important role in regulating host lipogenesis and lipid metabolism. However, the function of gut microbiota in the lipogenesis of chicken and their relevant mechanisms are poorly understood. In the present study, the gut microbiota of chicken was depleted by oral antibiotics. Changes in cecal microbiota and metabolomics were detected by 16S rRNA sequencing and ultra-high performance liquid chromatography coupled with MS/MS (UHPLC–MS/MS) analysis. The correlation between antibiotic-induced dysbiosis of gut microbiota and metabolites and lipogenesis were analysed. We found that oral antibiotics significantly promoted the lipogenesis of chicken. 16S rRNA sequencing indicated that oral antibiotics significantly reduced the diversity and richness and caused dysbiosis of gut microbiota. Specifically, the abundance of Proteobacteria was increased considerably while the abundances of Bacteroidetes and Firmicutes were significantly decreased. At the genus level, the abundances of genera Escherichia-Shigella and Klebsiella were significantly increased while the abundances of 12 genera were significantly decreased, including Bacteroides. UHPLC-MS/MS analysis showed that antibiotic-induced dysbiosis of gut microbiota significantly altered cecal metabolomics and caused declines in abundance of 799 metabolites and increases in abundance of 945 metabolites. Microbiota-metabolite network revealed significant correlations between 4 differential phyla and 244 differential metabolites as well as 15 differential genera and 304 differential metabolites. Three metabolites of l-glutamic acid, pantothenate acid and N-acetyl-l-aspartic acid were identified as potential metabolites that link gut microbiota and lipogenesis in chicken. In conclusion, our results showed that antibiotic-induced dysbiosis of gut microbiota promotes lipogenesis of chicken by altering relevant metabolomics. The efforts in this study laid a basis for further study of the mechanisms that gut microbiota regulates lipogenesis and fat deposition of chicken.

scholarly journals Alterations in intestinal microbiota diversity, composition, and function in patients with sarcopenia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lin Kang ◽  
Pengtao Li ◽  
Danyang Wang ◽  
Taihao Wang ◽  
Dong Hao ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
16S Rrna ◽  
Intestinal Microbiota ◽  
Muscle Growth ◽  
Growth Function ◽  
16S Rrna Sequencing ◽  
Fecal Samples ◽  
Lipopolysaccharide Biosynthesis ◽  
Rrna Sequencing ◽  
And Function

Abstract16S rRNA sequencing of human fecal samples has been tremendously successful in identifying microbiome changes associated with both aging and disease. A number of studies have described microbial alterations corresponding to physical frailty and nursing home residence among aging individuals. A gut-muscle axis through which the microbiome influences skeletal muscle growth/function has been hypothesized. However, the microbiome has yet to be examined in sarcopenia. Here, we collected fecal samples of 60 healthy controls (CON) and 27 sarcopenic (Case)/possibly sarcopenic (preCase) individuals and analyzed the intestinal microbiota using 16S rRNA sequencing. We observed an overall reduction in microbial diversity in Case and preCase samples. The genera Lachnospira, Fusicantenibacter, Roseburia, Eubacterium, and Lachnoclostridium—known butyrate producers—were significantly less abundant in Case and preCase subjects while Lactobacillus was more abundant. Functional pathways underrepresented in Case subjects included numerous transporters and phenylalanine, tyrosine, and tryptophan biosynthesis suggesting that protein processing and nutrient transport may be impaired. In contrast, lipopolysaccharide biosynthesis was overrepresented in Case and PreCase subjects suggesting that sarcopenia is associated with a pro-inflammatory metagenome. These analyses demonstrate structural and functional alterations in the intestinal microbiota that may contribute to loss of skeletal muscle mass and function in sarcopenia.

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