36 research outputs found

    Most dominant OTUs in all sites sampled for this study and their average relative abundances (as percentages of all sample 16S rRNA gene sequences recovered).

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    <p>Abbreviations: OTU, operational taxonomic units; Phylogenetic classification was determined by BLAST against the Silva database.</p><p>OTUs were considered dominant if they were both highly abundant and occurred frequently in kelp samples. “NA” indicates that the OTU was not included within the 10 most dominant for that sample.</p

    Kelp surface and seawater bacterial communities at the level of phyla.

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    <p>“Kelp” refers to the kelp surface samples; “Water-In” refers to the seawater samples adjacent to the kelp sampled; “Water-Out” refers to the seawater sampled outside the perimeter of the kelp forest.</p

    OTUs at 97% similarity, which were found in all kelp surface samples, presented as their contribution to the whole community (% of the total bacterial sequences).

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    <p>Abbreviations: OTU, operational taxonomic units; Classification indicates the taxonomical affiliation of the OTU sequences, and the level of taxonomic classification chosen included at least 99% of all sequences for a particular OTU.</p

    Summary of the sequencing results.

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    <p>Abbreviations: OTU, operational taxonomic units</p><p><i>Water In</i> samples were taken in close proximity to the kelp, inside the kelp forest; <i>Water Out</i> samples were sampled outside the kelp forest perimeter. The number of reads and the percentage of total sequences are displayed, categorized as being bacterial or organelle derived. OTUs at 97% identity and Chao1 OTU richness were estimated after sub sampling all samples to an even depth of 1031 sequences per sample to control for differing depths of sequencing across the samples (the minimum, median and maximum sequences per sample, prior to the even sampling, were 179, 16155, and 21698, respectively), and after removing organelle-derived sequences. Sampled depth for all samples and dates was 1 meter, unless otherwise noted.</p

    Bacterial distribution of the most abundant groups within the predominant classes of the Proteobacterial phylum.

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    <p>The <i>Alpha</i>- (A), <i>Gamma</i>- (B) and <i>Betaproteobacteria</i> (C) were consistently present in high abundances in all of the samples. A further evaluation within these classes showed differences in the profiles and abundance of the bacterial groups in seawater and on the kelp surface. X-axis sample designation is the same as <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0067480#pone-0067480-g001" target="_blank">Figure 1</a>.</p

    Weighed UniFrac principal coordinates analysis (PCoA) computed at exactly 510 sequences/sample illustrate the influence of sample type (Fig. 4A) and sample collection date (Fig. 4B).

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    <p>The coloring reflects the different dates on which the samples were taken (green  =  March, blue  =  April, red  =  May). “Kelp” refers to the kelp surface samples; “Water” refers to the seawater samples adjacent to the kelp sampled as well as those sampled outside the perimeter of the kelp forest. Percentages of variance explained by each principal coordinate (P1 and P2) are shown on the x- and y-axes.</p

    Bolnick MolecEcol Dryad Submission

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    A zip file containing 14 .csv or .txt data files including fish metadata (morphology, sex, diet), gut microbiota composition, and MHC genotype

    Most common bacterial genera (with known opportunistic pathogens) found in both NICUs (see Tables S1 and S2 for full list).

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    <p>Most common bacterial genera (with known opportunistic pathogens) found in both NICUs (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054703#pone.0054703.s001" target="_blank">Tables S1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054703#pone.0054703.s002" target="_blank">S2</a> for full list).</p
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