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16s rrna gene-based 454 pyrosequencing method  (Pyrosequencing Inc)

 
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    Pyrosequencing Inc 16s rrna gene-based 454 pyrosequencing method
    16s Rrna Gene Based 454 Pyrosequencing Method, supplied by Pyrosequencing Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/454-pyrosequencing+based+method/16s+rrna+pyrosequencing/pm24118987-44-11-12
    Average 90 stars, based on 1 article reviews
    16s rrna gene-based 454 pyrosequencing method - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Control:

    Article Title: Maternal Prenatal Stress and the Offspring Gut Microbiome: A Cross-Species Systematic Review
    Article Snippet: 5 , Gur et al. (2017) , Mice , Restraint (2 h daily) , PND 10–16 , 60–70 days Note: only included female offspring , 16S rRNA sequencing (V1-V3), qPCR , Not reported , PNS associated with differences in microbial communities between experimental groups (adonis statistics, PCoA plot of unweighted UniFrac distances, p < 0.001) , Phylum PNS positively associated with Proteobacteria a PNS negatively associated with Bacteroidetes ( t (30) = 3.83, p < 0.001) and Firmicutes ( t (30) = 3.59, p < 0.001) Family PNS positively associated with Bifidobacteriaceae ( t (3) = 3.00, p = 0.005). PNS negatively associated with Rikenellaceae ( t (30) = 3.37, p = 0.002) and S24–7 7 ( t (30) = 5.87, p < 0.0001). .. 6 , Golubeva et al. (2015) , Rats , Restraint and bright light (45 min, three times daily) , PND 14–20 , 4 months , 16S rRNA gene 454 pyrosequencing , PNS not associated with any significant differences in observed species (535 (475;644) in control and 501 (435;588) in prenatally stressed rats) or Chao1 (930 (819;1226) in control and 877 (741;1134) in prenatally stress group) , Not reported , Phylum PNS not associated with any significant differences in Actinobacteria, Verrucomicrobia, Deferribacteres, Cyanobacteria, Proteobacteria, Tenericutes, Bacteroidetes, Firmicutes, and unassigned organism Family PNS negatively associated with Streptococcaceae ( p = 0.04) Genus PNS positively associated with Oscillibacter ( p = 0.029), Anaerotruncus ( p = 0.029), and Peptococcus ( p = 0.014). .. 7 , Jašarević et al. (2018) , Mice , One stressor per day of the following: - fox odor (60 min) - restraint (15 min) - constant light (36 h) - novel noise overnight - cage changes (three times throughout the light cycle) - saturated bedding overnight - novel object exposure overnight , PND 1–7 , 2 days and as adults Note: only included male offspring , - 16S rRNA sequencing (V4), qPCR - Whole-metagenomic shotgun sequencing and analysis , PNS not associated with any significant differences in Shannon index a , PNS combined with chronic stress in adulthood was associated with differences in microbial communities between experimental groups (MDS + PCA of the Bray-Curtis) a , Order PNS negatively associated with Pasteurellales, Lactobacillales, and Enterobacteriales Phylum PNS negatively associated with Proteobacteria and Firmicutes Family PNS positively associated with Peptococcaceae, Pseudomonadaceae, Peptococcaceae, Comamonadaceae, and Microbacteriaceae PNS negatively associated with Enterobacteriaceae, Streptococcaceae, and Pasteurellaceae Genus PNS negatively associated with Pasteurella, Gallibacterium, Mannheimia, Escherichia, Haemophilus, and Streptococcus PNS positively associated with Pseudomonas and Acidovorax Species PNS negatively associated with Streptococcus suis PNS combined with chronic stress in adulthood positively associated with Streptomyces lentus (males only) PNS negatively associated with Lactobacillus reuteri, Escherichia coli, Lactobacillus murinus ASF361, Pasteurella pneumotropica, Streptococcus acidominimus, Streptococcus thoraltensis DSM 12221, Streptococcus thoraltensis, Actinobacillus pleuropneumoniae, Streptococcus lutetiensis 033, Streptococcus agalactiae FSL S3–229, Streptococcus hyovaginalis DSM 12219, Streptococcus agalactiae, Streptococcus hyovaginalis, Pasteurella multocida, and Streptococcus sp. FF10 a.

    other:

    Article Title: Polysaccharides from Yupingfeng granules ameliorated cyclophosphamide-induced immune injury by protecting intestinal barrier.
    Article Snippet: Immune injury is the main side effect caused by cyclophosphamide and the disruption of the intestinal barrier may be an important cause.. Yupingfeng granules have been reported to have immunomodulatory effects and polysaccharides are important components of them.. This study aimed to investigate the ameliorative effect of polysaccharides from Yupingfeng granules (YPFP) on cyclophosphamide induced immune injury and reveal their potential mechanisms based on its protective effect on the intestine.

    Article Title: Therapeutic Strategies to Modulate Gut Microbial Health: Approaches for Chronic Metabolic Disorder Management
    Article Snippet: Furthermore, there are studies that have shown an increase in the F/B ratio in children who were later diagnosed with DM1: in a 2018 study by Leiva-Gea, for example, comparing, via RNA sequencing (16S rRNA pyrosequencing), the microbiota of subjects with DM1 (15 subjects) and MODY2 (maturity-onset diabetes of the young, a type of monogenic diabetes; 15 subjects) and healthy controls (13 subjects), a different composition was seen in DM1 subjects as follows: a reduction in microbiota diversity, an increase in Bacteroides , Ruminococcus , Veillonella , Blautia, and Streptococcus , a reduction in Bifidobacterium , Roseburia , Faecalibacterium, and Lachnospira , and an increase in pro-inflammatory cytokines and lipopolysaccharides.

    Article Title: Prognostic factors affecting probing depth reduction following non‑surgical periodontal therapy in patients with periodontitis: A linear mixed‑effects model analysis
    Article Snippet: Previous research has used 16S pyrosequencing to analyze bacterial profiles in patients with chronic periodontitis demonstrated a relatively higher abundance of Porphyromonas gingivalis in the Chinese population (17.85%) and compared with other groups (11.26%) ( , ).

    Sequencing:

    Article Title: The Lasting Imprint of Antibiotics on Gut Microbiota: Exploring Long-Term Consequences and Therapeutic Interventions
    Article Snippet: Reese AT et al. , Antibiotic effects on gut microbiota and enteric diseases using a host-free ex vivo human gut microbiota model. , Antibiotics significantly reshape the gut microbiota, reducing microbial diversity by 25-50%, leading to an increased risk (odds ratio: 2.5) of enteric diseases by disrupting the protective gut barrier [ ]. . .. Dethlefsen L et al. , Analyzed the impact of ciprofloxacin on gut microbiota in three healthy adults who had not taken antibiotics in the past year. Participants took ciprofloxacin (500 mg twice daily for five days), and stool samples were collected before, during, and after treatment over an 8-month period. Deep 16S rRNA sequencing using pyrosequencing targeted the V6 and V3 hypervariable regions to assess bacterial community composition. Over 900,000 sequence reads were obtained, identifying 3,300–5,700 bacterial taxa. , Ciprofloxacin altered the abundance of approximately 30% of bacterial taxa, reducing taxonomic richness, diversity, and evenness of the gut microbiota, with varying effects across individuals. Despite this disturbance, microbiota composition largely returned to its pretreatment state within four weeks, although some bacterial taxa failed to recover even after six months. The primary source of variability in samples was interindividual differences, with two unrelated individuals exhibiting surprisingly similar microbiota compositions. Participants reported no gastrointestinal symptoms, suggesting functional redundancy within the gut microbiome. However, the long-term loss of certain bacterial taxa raises concerns about potential implications for immune function and chronic diseases [ ]. . ..

    Functional Assay:

    Article Title: The Lasting Imprint of Antibiotics on Gut Microbiota: Exploring Long-Term Consequences and Therapeutic Interventions
    Article Snippet: Reese AT et al. , Antibiotic effects on gut microbiota and enteric diseases using a host-free ex vivo human gut microbiota model. , Antibiotics significantly reshape the gut microbiota, reducing microbial diversity by 25-50%, leading to an increased risk (odds ratio: 2.5) of enteric diseases by disrupting the protective gut barrier [ ]. . .. Dethlefsen L et al. , Analyzed the impact of ciprofloxacin on gut microbiota in three healthy adults who had not taken antibiotics in the past year. Participants took ciprofloxacin (500 mg twice daily for five days), and stool samples were collected before, during, and after treatment over an 8-month period. Deep 16S rRNA sequencing using pyrosequencing targeted the V6 and V3 hypervariable regions to assess bacterial community composition. Over 900,000 sequence reads were obtained, identifying 3,300–5,700 bacterial taxa. , Ciprofloxacin altered the abundance of approximately 30% of bacterial taxa, reducing taxonomic richness, diversity, and evenness of the gut microbiota, with varying effects across individuals. Despite this disturbance, microbiota composition largely returned to its pretreatment state within four weeks, although some bacterial taxa failed to recover even after six months. The primary source of variability in samples was interindividual differences, with two unrelated individuals exhibiting surprisingly similar microbiota compositions. Participants reported no gastrointestinal symptoms, suggesting functional redundancy within the gut microbiome. However, the long-term loss of certain bacterial taxa raises concerns about potential implications for immune function and chronic diseases [ ]. . ..



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