16s-based 454 pyrosequencing Search Results


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16s Rrna Gene 454 Pyrosequencing, 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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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
Illumina Based 16s Sequencing, supplied by Illumina 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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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
454 Tag Pyrosequencing, 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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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
454 Pyrosequencing, 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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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
454 Pyrosequencing Platform, 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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Over all structural changes of microbiota community during quinoline-degrading process based <t>16S</t> <t>rRNA</t> gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.
454–Flx Based Pyrosequencing, 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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Pyrosequencing Inc 454/flx-based 16s rrna gene amplicon sequencing
Principal component analysis based on DGGE profiles of the V3-region of the <t>16S</t> <t>rRNA</t> gene (bacteria) associated two copepod species ( Acartia tonsa and Centropages hamatus ) in an extensive production system with 9 separate tanks and one laboratory culture.
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Principal component analysis based on DGGE profiles of the V3-region of the <t>16S</t> <t>rRNA</t> gene (bacteria) associated two copepod species ( Acartia tonsa and Centropages hamatus ) in an extensive production system with 9 separate tanks and one laboratory culture.
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Image Search Results


Over all structural changes of microbiota community during quinoline-degrading process based 16S rRNA gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.

Journal: Scientific Reports

Article Title: Time-resolved analysis of a denitrifying bacterial community revealed a core microbiome responsible for the anaerobic degradation of quinoline

doi: 10.1038/s41598-017-15122-0

Figure Lengend Snippet: Over all structural changes of microbiota community during quinoline-degrading process based 16S rRNA gene V1-V3 454 pyrosequencing. Comparison of relative abundances of the major phylotypes (relative abundances above 1%) found in the DNA and RNA data. ( a ) At phylum level ( b ) at genera level. ( a ) The left part represents the phylotypes from the DNA, and the right part represents the phylotypes from the RNA-based data. The colors correspond to the major phylogenetic groups of the phylotypes. The different parts of the stacked bars represent the phylotypes identified. ( b ) The different stars above the columns mean significant differences as assessed by Tukey’s test (*P < 0.05, ***P < 0.001). ( c ) Bray-curtis PCoA of the quinoline-degrading microbiota at time H0, H25, H80 and H144 based on pyrosequencing OTU (97% identity) data. The values in parenthesis indicate the percentage of community variation explained by the axes. ( d ) Clustering of microbiota based on mahalanobis distances between different groups calculated with multivariate analysis of variance test, ***P < 0.001.

Article Snippet: Figure 2 Over all structural changes of microbiota community during quinoline-degrading process based 16S rRNA gene V1-V3 454 pyrosequencing.

Techniques: Comparison

Principal component analysis based on DGGE profiles of the V3-region of the 16S rRNA gene (bacteria) associated two copepod species ( Acartia tonsa and Centropages hamatus ) in an extensive production system with 9 separate tanks and one laboratory culture.

Journal: PLoS ONE

Article Title: Host-Specific and pH-Dependent Microbiomes of Copepods in an Extensive Rearing System

doi: 10.1371/journal.pone.0132516

Figure Lengend Snippet: Principal component analysis based on DGGE profiles of the V3-region of the 16S rRNA gene (bacteria) associated two copepod species ( Acartia tonsa and Centropages hamatus ) in an extensive production system with 9 separate tanks and one laboratory culture.

Article Snippet: The composition of the bacterial community was compared across copepod species ( Acartia tonsa and Centropages hamatus ) in the cultivation system by use of denaturing gradient gel electrophoresis (DGGE) and 454/FLX-based 16S rRNA gene amplicon sequencing (454-pyrosequencing), and additional observations were made on development of bacterial community structure over time.

Techniques: