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      Correction: Multicolor Whole-Cell Bacterial Sensing Using a Synchronous Fluorescence Spectroscopy-Based Approach

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      The PLOS ONE Staff
      PLoS ONE
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          Abstract

          The mu character (μ) is incorrectly typeset as a one-quarter character (¼) throughout this article. The publisher apologizes for the errors. In the “Bacterial strains, plasmids and growth conditions” subsection of the “Materials and Methods” section, the last sentence of the first paragraph should read: When required, the medium was supplemented with kanamycin at final concentrations of 40 μg/ml (for E. coli) or 250 μg/ml (for P. aeruginosa). In the “Mixture of P. aeruginosa iron bioreporter strains” subsection of the “Materials and Methods,” the second sentence should read: The two cell suspensions were then mixed in a black polypropylene 96-well microplate and supplemented with different dilution of FeCl3 with an automated pipetting system (Eppendorf epMotion 5070) in a final volume of 200 μl as indicated in S2 Fig. In the “Application of the joint SFS/CP approach to study iron homeostasis in P. aeruginosa” subsection of the “Results and Discussion” section, the twelfth sentence should read: However, the iron-dependent induction profile of bfrB-e2-orange showed a modest yet reproducible decrease around 25 μM FeCl3. In the “Testing the limits of the SFS/CP approach” subsection of the “Results and Discussion,” the penultimate sentence of the first paragraph should read: The E2-Orange signal due to bfrB expression was identified as well, and showed the expected iron-dependent induction profile, with however a less marked decrease occurring around 10 μM FeCl3. The second sentence of the caption for Fig 4 should read: (A) Raw synchronous spectra of strain mixtures incubated with 0.3, 1 and 3 μM FeCl3 showing the relative intensity of fluorescent signals. Please see the correct Fig 4 caption below. 10.1371/journal.pone.0127211.g001 Fig 4 Spectral decomposition of fluorescence from mixtures of three P. aeruginosa PAO1 iron bioreporter strains harboring pvdS-gfp, pvdA-dsred-express2 and bfrB-e2-orange fusions. (A) Raw synchronous spectra of strain mixtures incubated with 0.3, 1 and 3 μM FeCl3 showing the relative intensity of fluorescent signals. (B) Spectra of the four fluorescent sources identified from CP analysis performed independently on 400–470 nm and 470–600 nm wavelength ranges. (C) Profile of fluorescence sources as a function of iron concentration. (D) Profile of fluorescence sources as a function of the ratio of bfrB-e2-orange reporter strain in the mixture. The mixture pattern for this experiment is presented in S3 Fig. PVD: pyoverdine; af-PVD and bf-PVD: “acid” and “basic” forms of pyoverdine.

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          Multicolor Whole-Cell Bacterial Sensing Using a Synchronous Fluorescence Spectroscopy-Based Approach

          The wide collection of currently available fluorescent proteins (FPs) offers new possibilities for multicolor reporter gene-based studies of bacterial functions. However, the simultaneous use of multiple FPs is often limited by the bleed-through of their emission spectra. Here we introduce an original approach for detection and separation of multiple overlapping fluorescent signals from mixtures of bioreporters strains. The proposed method relies on the coupling of synchronous fluorescent spectroscopy (SFS) with blind spectral decomposition achieved by the Canonical Polyadic (CP) decomposition (also known as Candecomp/Parafac) of three-dimensional data arrays. Due to the substantial narrowing of FP emission spectra and sensitive detection of multiple FPs in a one-step scan, SFS reduced spectral overlap and improved the selectivity of the CP unmixing procedure. When tested on mixtures of labeled E. coli strains, the SFS/CP approach could easily extract the contribution of at least four overlapping FPs. Furthermore, it allowed to simultaneously monitor the expression of three iron responsive genes and pyoverdine production in P. aeruginosa. Implemented in a convenient microplate format, this multiplex fluorescent reporter method provides a useful tool to study complex processes with different variables in bacterial systems.
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            Author and article information

            Journal
            PLoS One
            PLoS ONE
            plos
            plosone
            PLoS ONE
            Public Library of Science (San Francisco, CA USA )
            1932-6203
            1 May 2015
            2015
            : 10
            : 5
            : e0127211
            Article
            PONE-D-15-16421
            10.1371/journal.pone.0127211
            4416751
            25933010
            ca03d6ba-6b36-42f0-82c5-8cbb5c539b83
            Copyright @ 2015

            This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

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