23 research outputs found

    Comparison of linear regression models describing the relationship between RBC Ξ΄<sup>13</sup>C and Ξ΄<sup>15</sup>N and geographic location of winter non-breeding foraging areas for the 14 loggerheads fitted with satellite tags.

    No full text
    <p>Model selection used Akaike’s Information Criterion, corrected for small sample sizes (AIC<sub>c</sub>). Abbreviations are as follow: RSS β€Š=β€Š residual sum of squares, N β€Š=β€Š number of observations, K β€Š=β€Š number of parameters, Ξ”AIC<sub>c</sub> β€Š=β€Š difference between each model and the best model, AIC<sub>c</sub> weight β€Š=β€Š relative information content, P β€Š=β€Š probability associated with the best model, lat β€Š=β€Š average latitude of foraging ground based on tracking data, dist shore β€Š=β€Š distance from shore (in km) calculated from the point having as coordinates average latitude and longitude of foraging ground, lat * dist shore β€Š=β€Š lat + dist shore + lat * dist shore.</p

    Comparison of linear regression models describing the relationship between RBC Ξ΄<sup>13</sup>C and Ξ΄<sup>15</sup>N and geographic location of summer non-breeding foraging areas for the 14 loggerheads fitted with satellite tags.

    No full text
    <p>Model selection used Akaike’s Information Criterion, corrected for small sample sizes (AIC<sub>c</sub>). Abbreviations are as follow: RSS β€Š=β€Š residual sum of squares, N β€Š=β€Š number of observations, K β€Š=β€Š number of parameters, Ξ”AIC<sub>c</sub> β€Š=β€Š difference between each model and the best model, AIC<sub>c</sub> weight β€Š=β€Š relative information content, P β€Š=β€Š probability associated with the best model, lat β€Š=β€Š average latitude of foraging ground based on tracking data, dist shore β€Š=β€Š distance from shore (in km) calculated from the point having as coordinates average latitude and longitude of foraging ground, lat * dist shore β€Š=β€Š lat + dist shore + lat * dist shore.</p

    Discriminant function analysis (DFA) of foraging groups based on the stable isotope ratios.

    No full text
    <p>Function 1 accounted for 97.6% of the between-group variability. Pink triangles represent females equipped with satellite tags that migrated to northern foraging areas, green squares those foraging in eastern central Florida and blue diamonds those foraging in the south. Black markers represent the centroids for the respective foraging groups. Empty circles represent untracked females. Dotted lines define the three DFA territories.</p

    Tales of diversity: Genomic and morphological characteristics of forty-six <i>Arthrobacter</i> phages

    No full text
    <div><p>The vast bacteriophage population harbors an immense reservoir of genetic information. Almost 2000 phage genomes have been sequenced from phages infecting hosts in the phylum Actinobacteria, and analysis of these genomes reveals substantial diversity, pervasive mosaicism, and novel mechanisms for phage replication and lysogeny. Here, we describe the isolation and genomic characterization of 46 phages from environmental samples at various geographic locations in the U.S. infecting a single <i>Arthrobacter</i> sp. strain. These phages include representatives of all three virion morphologies, and Jasmine is the first sequenced podovirus of an actinobacterial host. The phages also span considerable sequence diversity, and can be grouped into 10 clusters according to their nucleotide diversity, and two singletons each with no close relatives. However, the clusters/singletons appear to be genomically well separated from each other, and relatively few genes are shared between clusters. Genome size varies from among the smallest of siphoviral phages (15,319 bp) to over 70 kbp, and G+C contents range from 45–68%, compared to 63.4% for the host genome. Although temperate phages are common among other actinobacterial hosts, these <i>Arthrobacter</i> phages are primarily lytic, and only the singleton Galaxy is likely temperate.</p></div

    Genome organization of <i>Arthrobacter</i> phage Amigo, Cluster AQ.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p

    Genome organization of <i>Arthrobacter</i> phage Jawnski, Cluster AO.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p

    Genome organization of <i>Arthrobacter</i> phage Maggie, Cluster AN.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p

    Genome organization of <i>Arthrobacter</i> phage Circum, Cluster AM.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p

    Genome organization of <i>Arthrobacter</i> phage KellEzio, Cluster AT.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p

    Genome organization of <i>Arthrobacter</i> phage Laroye, Cluster AL.

    No full text
    <p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180517#pone.0180517.g005" target="_blank">Fig 5</a> for details.</p
    corecore