Stomatal opening in response to the simultaneous increase in vapor pressure deficit and temperature over a 24-h period under constant light in a tropical rainforest of the central Amazon

Mendes, Keila Rêgo; Marenco, Ricardo Antonio

doi:10.1007/s40626-017-0094-x

Cited by 14 publications

(10 citation statements)

References 42 publications

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“…When atmospheric relative humidity is not a restrictive factor, plants respond to high temperature by opening their stomata. This physiological response occurs under laboratory and field conditions in a number of species (Willmer and Mansfield, 1970;Rogers et al, 1979Rogers et al, , 1980Sadras et al, 2012;Mendes and Marenco, 2017;Urban et al, 2017). Despite the conservation of this response, little is known about how guard cells perceive and transduce temperature signals.…”

Section: Discussionmentioning

confidence: 99%

Guard Cells Integrate Light and Temperature Signals to Control Stomatal Aperture

et al. 2020

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High temperature promotes guard cell expansion, which opens stomatal pores to facilitate leaf cooling. How the hightemperature signal is perceived and transmitted to regulate stomatal aperture is, however, unknown. Here, we used a reverse-genetics approach to understand high temperature-mediated stomatal opening in Arabidopsis (Arabidopsis thaliana). Our findings reveal that high temperature-induced guard cell movement requires components involved in blue lightmediated stomatal opening, suggesting cross talk between light and temperature signaling pathways. The molecular players involved include phototropin photoreceptors, plasma membrane H 1-ATPases, and multiple members of the 14-3-3 protein family. We further show that phototropin-deficient mutants display impaired rosette evapotranspiration and leaf cooling at high temperatures. Blocking the interaction of 14-3-3 proteins with their client proteins severely impairs high temperatureinduced stomatal opening but has no effect on the induction of heat-sensitive guard cell transcripts, supporting the existence of an additional intracellular high-temperature response pathway in plants.

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Section: Discussionmentioning

confidence: 99%

Guard Cells Integrate Light and Temperature Signals to Control Stomatal Aperture

et al. 2020

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“…The direct effect of a small gradient in temperature seems to have little effect on photosynthetic rates (Lloyd andFarquhar 2008, Yamori et al 2014). Furthermore, in a previous study we found that in the ranges of 25-30°C (temperature) and 72-77% (RH), gs did not decline, actually it tended to increase with temperature (Mendes and Marenco 2017), so it seems unlikely that the small differences in RH and temperature had a significant effect on carbon uptake.…”

Section: Discussionmentioning

confidence: 69%

Photosynthesis and biomass accumulation in Carapa surinamensis (Meliaceae) in response to water stress at ambient and elevated CO<sub>2</sub>

Oliveira¹,

Marenco²

2019

Photosynt.

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Climate models predict an increase in atmospheric CO2 concentration and prolonged droughts in some parts of the Amazon, but the effect of elevated CO2 is still unknown. Two experiments (ambient CO2 -400 ppm and elevated CO2 -700 ppm) were conducted to assess the effect of drought (soil at 50% field capacity) on physiological parameters of Carapa. At ambient CO2 concentration, light-saturated net photosynthetic rate (PNsat) was reduced by 33.5% and stomatal conductance (gs) by 46.4% under drought, but the effect of drought on PNsat and gs was nullified at elevated CO2. Total plant biomass and leaf area production were also reduced (42-47%) by drought. By changing leaf traits, Carapa is able to endure drought, as the consumptive use of water was reduced under drought (32-40%). The improvement of PNsat under elevated CO2 and water stress and the leaf plasticity of Carapa broaden our understanding of the physiology of Amazonian trees.Additional key words: chlorophyll fluorescence; leaf water potential; nonphotochemical quenching; water-use efficiency. use of water; ETRelectron transport rate; FC -field capacity; Fm -maximal fluorescence yield of the dark-adapted state; Fm' -maximal fluorescence yield of the light-adapted state; Fs -steady-state fluorescence yield; Fv/Fm -maximal quantum yield of PSII photochemistry; Fv -variable fluorescence; gs -stomatal conductance; Jmax -maximum electron transport rate; F0 -minimal fluorescence yield of the dark-adapted state; Jmax25 -Jmax at 25°C; LMA -leaf mass per area ratio; NPQ -nonphotochemical quenching; T -temperature in Kelvin; PN -net photosynthetic rate; PNsat -light-saturated PN; PNmax -light-and CO2-saturated PN; RH -relative humidity; TNC -total non-structural carbohydrates; Vcmax -maximum carboxylation rate of Rubisco; Vcmax25 -Vcmax at 25°C; VPDL -leaf-to-air vapor pressure difference; WT -total dry matter (biomass); WUEi -intrinsic water-use efficiency; Γ -CO2-compensation point; Γ* -Γ in absence of mitochondrial respiration; ΨL -leaf water potential; ФPSII -effective quantum yield of PSII photochemistry. Acknowledgments: To the Ministry of Science, Technology, Innovations and Communications (MCTIC/ INPA PRJ 15.120), National Council for Scientific and Technological Development -CNPq (Grant 302041/2015-0 and scholarship for MFO) and Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM) for supporting this research. We thank the Editor and the anonymous reviewers and for their constructive and useful comments.

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“…They reported that g s increased and reached its maximum value at a VPD of 16 hPa, and then it declined and became almost null at a VPD of 28 hPa. Likewise, Mendes and Marenco (2017) observed that g s increased with increasing VPD in the range of 5 to 10 hPa. These results show that the effect of VPD on photosynthesis depended on the level of atmospheric moisture.…”

Section: Discussionmentioning

confidence: 77%

Principal component regression analysis demonstrates the collinearity-free effect of sub estimated climatic variables on tree growth in the central Amazon

Marenco

Antezana-Vera

2021

RBT

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Introduction: Climatic variables show a seasonal pattern in the central Amazon, but the intra-annual variability effect on tree growth is still unclear. For variables such as relative humidity (RH) and air vapor pressure deficit (VPD), whose individual effects on tree growth can be underestimated, we hypothesize that such influences can be detected by removing the effect of collinearity between regressors. Objective: This study aimed to determine the collinearity-free effect of climatic variability on tree growth in the central Amazon. Methods: Monthly radial growth was measured in 325 trees from January 2013 to December 2017. Irradiance, air temperature, rainfall, RH, and VPD data were also recorded. Principal Component Regression was used to assess the effect of micrometeorological variability on tree growth over time. For comparison, standard Multiple Linear Regression (MLR) was also used for data analysis. Results: Tree growth increased with increasing rainfall and relative humidity, but it decreased with rising maximum VPD, irradiance, and maximum temperature. Therefore, trees grew more slowly during the dry season, when irradiance, temperature and VPD were higher. Micrometeorological variability did not affect tree growth when MLR was applied. These findings indicate that ignoring the correlation between climatic variables can lead to imprecise results. Conclusions: A novelty of this study is to demonstrate the orthogonal effect of maximum VPD and minimum relative humidity on tree growth.

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Stomatal opening in response to the simultaneous increase in vapor pressure deficit and temperature over a 24-h period under constant light in a tropical rainforest of the central Amazon

Cited by 14 publications

References 42 publications

Guard Cells Integrate Light and Temperature Signals to Control Stomatal Aperture

Guard Cells Integrate Light and Temperature Signals to Control Stomatal Aperture

Photosynthesis and biomass accumulation in Carapa surinamensis (Meliaceae) in response to water stress at ambient and elevated CO<sub>2</sub>

Principal component regression analysis demonstrates the collinearity-free effect of sub estimated climatic variables on tree growth in the central Amazon

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