2018
DOI: 10.1093/pcp/pcy104
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Systemic Calcium Wave Propagation in Physcomitrella patens

Abstract: The adaptation to dehydration and rehydration cycles represents a key step in the evolution of photosynthetic organisms and requires the development of mechanisms by which to sense external stimuli and translate them into signaling components. In this study, we used genetically encoded fluorescent sensors to detect specific transient increases in the Ca2+ concentration in the moss Physcomitrella patens upon dehydration and rehydration treatment. Observation of the entire plant in a single time-series acquisiti… Show more

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Cited by 18 publications
(20 citation statements)
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“…Fluorescent protein-based biosensing has been developed towards a powerful approach to monitor dynamic changes in metabolite concentrations, signalling molecules and other physiological parameters in planta (Walia et al, 2018), allowing to monitor responses to external and internal stimuli live and with subcellular resolution (e.g. Chaudhuri et al, 2008; Keinath et al, 2015; Storti et al, 2018; Waadt et al, 2020; Wagner et al, 2019). Several biosensors to monitor bioenergetic parameters related to photosynthesis at the subcellular level, including pH as component of the proton motive force and ATP, are available in plants (De Col et al, 2017; Demes et al, 2020; Hatsugai et al, 2012; Schwarzländer et al, 2011; Voon et al, 2018; Yang et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Fluorescent protein-based biosensing has been developed towards a powerful approach to monitor dynamic changes in metabolite concentrations, signalling molecules and other physiological parameters in planta (Walia et al, 2018), allowing to monitor responses to external and internal stimuli live and with subcellular resolution (e.g. Chaudhuri et al, 2008; Keinath et al, 2015; Storti et al, 2018; Waadt et al, 2020; Wagner et al, 2019). Several biosensors to monitor bioenergetic parameters related to photosynthesis at the subcellular level, including pH as component of the proton motive force and ATP, are available in plants (De Col et al, 2017; Demes et al, 2020; Hatsugai et al, 2012; Schwarzländer et al, 2011; Voon et al, 2018; Yang et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Although it would be tempting to speculate that all systemic signals are transduced though the plant vascular system (somewhat akin to the nervous system of animals), one should keep an open mind when it comes to this important question (e.g. systemic calcium waves were shown to propagate in the nonvascular plant Physcomitrella ; Storti et al , ). Different systemic signals could propagate through different plant tissues or cell types interacting only at particular locations (Figure ).…”
Section: Tissue Specificity and Routes Of Spread Through The Plantmentioning
confidence: 99%
“…Different subcellular compartments display distinct levels of free Ca 2+ ion (Suzuki et al, 2016;Costa et al, 2018). As such, effective monitoring of the changes in Ca 2+ levels require the selection of GECIs with appropriate binding affinity to Ca 2+ (Kd).…”
Section: Design and Generation Of Multi-compartmental Ca 2+ Imaging Toolsetmentioning
confidence: 99%
“…As such, effective monitoring of the changes in Ca 2+ levels require the selection of GECIs with appropriate binding affinity to Ca 2+ (Kd). Thus, we employed three single-colored GECIs: B-GECO1 (Zhao et al, 2011), GCaMP6f (Chen et al, 2013Li et al, 2019), andjRGECO1a (Dana et al, 2016), for imaging the cytosolic and the nuclear Ca 2+ levels, because their Kd is within the range of the cytosolic and nuclear Ca 2+ concentrations (van Der Luit et al, 1999;Mithofer and Mazars, 2002;Stael et al, 2012;Sello et al, 2016;Costa et al, 2018;Jiang et al, 2019). They were each tagged with an N-terminal nuclear export signal peptide from PKIα (Wen et al, 1995) or C-terminal three tandem repeats of the nuclear localization signal from the SV40 large T antigen (Kalderon et al, 1984) for cytosolic and nuclear targeting respectively.…”
Section: Design and Generation Of Multi-compartmental Ca 2+ Imaging Toolsetmentioning
confidence: 99%
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