454 pyrosequencing multiplex approach Search Results


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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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Estimated OTU richness, diversity indices and estimated sample coverage for <t> 16S rRNA </t> libraries of sediment of mangrove samples.
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(A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of <t>16S</t> <t>rRNA</t> sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).
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(A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of <t>16S</t> <t>rRNA</t> sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).
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(A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of <t>16S</t> <t>rRNA</t> sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).
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454 pyrosequencing analysis  (Pyrosequencing Inc)
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(A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of <t>16S</t> <t>rRNA</t> sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).
454 Pyrosequencing Analysis, 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
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Image Search Results


Estimated OTU richness, diversity indices and estimated sample coverage for 16S rRNA libraries of sediment of mangrove samples.

Journal: PLoS ONE

Article Title: Mangrove Bacterial Diversity and the Impact of Oil Contamination Revealed by Pyrosequencing: Bacterial Proxies for Oil Pollution

doi: 10.1371/journal.pone.0016943

Figure Lengend Snippet: Estimated OTU richness, diversity indices and estimated sample coverage for 16S rRNA libraries of sediment of mangrove samples.

Article Snippet: In this study, the bacterial community structure and diversity in pristine mangrove sediment was evaluated using a 16S rRNA multiplex 454 pyrosequencing approach.

Techniques:

The rarefaction curves from microcosm sediment samples, in duplicates, were calculated by DOTUR 003 . T0, T23 0, T23 2%, T23 5% and T66 2%: curves of 16S rDNA of each sampling. T0, without oil contamination; T23 0, 23 days after the beginning of the experiment without oil contamination; T23 2%, 23 days after 2% of oil contamination; T23 5%, 23 days after 2% of oil contamination; T66, 66 days after 2% of oil contamination. I and II indicates the duplicates.

Journal: PLoS ONE

Article Title: Mangrove Bacterial Diversity and the Impact of Oil Contamination Revealed by Pyrosequencing: Bacterial Proxies for Oil Pollution

doi: 10.1371/journal.pone.0016943

Figure Lengend Snippet: The rarefaction curves from microcosm sediment samples, in duplicates, were calculated by DOTUR 003 . T0, T23 0, T23 2%, T23 5% and T66 2%: curves of 16S rDNA of each sampling. T0, without oil contamination; T23 0, 23 days after the beginning of the experiment without oil contamination; T23 2%, 23 days after 2% of oil contamination; T23 5%, 23 days after 2% of oil contamination; T66, 66 days after 2% of oil contamination. I and II indicates the duplicates.

Article Snippet: In this study, the bacterial community structure and diversity in pristine mangrove sediment was evaluated using a 16S rRNA multiplex 454 pyrosequencing approach.

Techniques: Sampling

(A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of 16S rRNA sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).

Journal: PLoS ONE

Article Title: Analysis of the Gut Microbiota in the Old Order Amish and Its Relation to the Metabolic Syndrome

doi: 10.1371/journal.pone.0043052

Figure Lengend Snippet: (A) Known species and Operational Taxonomic Units (OTUs) (green circles) linked to metabolic syndrome traits (yellow diamonds), illustrating statistically significant correlation coefficients using the Louvain algorithm. The size of the circles represents the mean relative abundance in the Amish cohort studied. Numbers connecting microbes are the correlation coefficient (p<0.001 for all). Solid lines represent positive correlations and dashed lines represent inverse correlations. (B) The same network as shown in panel A, but also including the statistically significant associations between bacterial taxa. (C) Phylogenetic tree of 16S rRNA sequences from the bacterial taxa in this network using the R implementation of DNADIST and FASTME. OTUs and known species that are inversely correlated with metabolic syndrome traits are colored in red and that are positively correlated with metabolic syndrome traits are colored in blue (p<0.001 for all).

Article Snippet: We performed 16S rRNA multiplex pyrosequencing of V1–V3 amplicons using bar-coded primers on the 454 Titanium platform to characterize the fecal microbiota.

Techniques: