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Autor(en) / Beteiligte
Titel
Dual Color Sensors for Simultaneous Analysis of Calcium Signal Dynamics in the Nuclear and Cytoplasmic Compartments of Plant Cells
Ist Teil von
  • Frontiers in plant science, 2018-02, Vol.9, p.245-14
Ort / Verlag
Switzerland: Frontiers
Erscheinungsjahr
2018
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Spatiotemporal changes in cellular calcium (Ca ) concentrations are essential for signal transduction in a wide range of plant cellular processes. In legumes, nuclear and perinuclear-localized Ca oscillations have emerged as key signatures preceding downstream symbiotic signaling responses. Förster resonance energy transfer (FRET) yellow-based Ca cameleon probes have been successfully exploited to measure the spatiotemporal dynamics of symbiotic Ca signaling in legumes. Although providing cellular resolution, these sensors were restricted to measuring Ca changes in single subcellular compartments. In this study, we have explored the potential of single fluorescent protein-based Ca sensors, the GECOs, for multicolor and simultaneous imaging of the spatiotemporal dynamics of cytoplasmic and nuclear Ca signaling in root cells. Single and dual fluorescence nuclear and cytoplasmic-localized GECOs expressed in transgenic roots and were used to successfully monitor Ca responses to microbial biotic and abiotic elicitors. In , we demonstrate that GECOs detect symbiosis-related Ca spiking variations with higher sensitivity than the yellow FRET-based sensors previously used. Additionally, in both and , the dual sensor is now able to resolve in a single root cell the coordinated spatiotemporal dynamics of nuclear and cytoplasmic Ca signaling . The GECO-based sensors presented here therefore represent powerful tools to monitor Ca signaling dynamics in in response to different stimuli in multi-subcellular compartments of plant cells.
Sprache
Englisch
Identifikatoren
ISSN: 1664-462X
eISSN: 1664-462X
DOI: 10.3389/fpls.2018.00245
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_947d5d14ad614a2182e7a600e989ad17

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