figshare
Browse
Figure_3.tif (233.78 kB)

Additive Main Effects and Multiplicative Interaction Model (AMMI) analysis of bacterial T-RFLP data

Download (0 kB)
figure
posted on 2012-12-20, 00:20 authored by Silvio D. Brugger, Laurence Frei, Pascal M. Frey, Suzanne Aebi, Kathrin Mühlemann, Markus Hilty

sets. Using the software T-Rex (T-RFLP analysis Expedited) [15], T-RFLP profiles were first analyzed individually and then grouped according to antibiotic exposure, vaccine season and vaccine status in the software R. The quadrates illustrate the centroids of the individual data points and represent the following: A) prevaccine era, not vaccinated, no antibiotic exposure. B) vaccine era, not vaccinated, no antibiotic exposure. C) vaccine era, vaccinated, no antibiotic exposure. A_ab) prevaccine era, not vaccinated, antibiotic exposure. B_ab) vaccine era, not vaccinated, antibiotic exposure. C_ab) vaccine era, vaccinated, antibiotic exposure. According to AMMI, antibiotic exposure (grey versus black) and vaccine season (A and A_ab versus others) significantly influences the microbiota (see text and Table 3).

History

Usage metrics

    PLOS ONE

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC