The effect of blue light on stomatal oscillations and leaf turgor pressure in banana leaves

Zait, Yotam; Shapira, Or; Schwartz, Amnon

doi:10.1111/pce.12907

Cited by 21 publications

(28 citation statements)

References 63 publications

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“…The data presented in this manuscript show differences between red and blue light effects on stomatal behavior in intact leaves. One immediately obvious distinction is the inhibition of stomatal oscillations by blue light, which was also recently documented in banana leaves (Zait et al 2017). In our study, stomatal oscillations were observed to occur when leaves were illuminated with red light but were absent under blue light.…”

Section: Discussionsupporting

confidence: 77%

Blue and red light effects on stomatal oscillations

Ballard

Peak

Mott

2019

Functional Plant Biol.

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The response of stomata to red and blue light was investigated using small fibre optics (66µm diameter) to control light levels on a single pair of guard cells without affecting the surrounding tissue. Low intensity red light (50µmolm–2s–1) applied to the entire leaf caused stomata to oscillate continuously for several hours with no apparent decrease in amplitude with time. Adding low intensity blue light (50µmolm–2s–1) caused stomata to stop oscillating, but oscillations resumed when the blue light was removed. Adding the same intensity of red light to an oscillating leaf changed the amplitude of the oscillations but did not stop them. When blue light was added to a single guard cell pair (using a fibre optic) in a red-light-illuminated leaf, the stoma formed by that pair stopped oscillating, but adjacent stomata did not. Red light added to a single guard cell pair did not stop oscillations. Finally, blue light applied through a fibre optic to areas of leaf without stomata caused proximal stomata to stop oscillating, but distal stomata continued to oscillate. The data suggest that blue light affects stomata via direct effects on guard cells as well as by indirect effects on other cells in the leaf.

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Section: Discussionsupporting

confidence: 77%

Blue and red light effects on stomatal oscillations

Ballard

Peak

Mott

2019

Functional Plant Biol.

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“…N = 10 air temperature, influence consistency between measurements [3,18,25]. Instantaneous point measurements under set controlled cuvette conditions generally require a long time for leaves to acclimate to the new conditions within the leaf cuvette [46]. A maximum rate of 30 measurements per day per gas exchange unit has been practically confirmed in environmentally controlled growth chambers [1], and much fewer measurements can be accomplished in field conditions due to the heterogeneity of environmental factors over the day and/or circadian regulation [29].…”

Section: Discussionmentioning

confidence: 99%

Fast photosynthesis measurements for phenotyping photosynthetic capacity of rice

Meng

Huang

et al. 2020

Plant Methods

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Background: Over the past decades, the structural and functional genomics of rice have been deeply studied, and high density of molecular genetic markers have been developed. However, the genetic variation in leaf photosynthesis, the most important trait for rice yield improvement, was rarely studied. The lack of photosynthesis phenotyping tools is one of the bottlenecks, as traditional direct photosynthesis measurements are very low-throughput, and recently developed high-throughput methods are indirect measurements. Hence, there is an urgent need for a fast, accurate and direct measurement approach.Result: We reported a fast photosynthesis measurement (FPM) method for phenotyping photosynthetic capacity of rice, which measures photosynthesis of excised tillers in environment-controlled lab conditions. The light response curves measured using FPM approach coped well with that the curves measured using traditional gas exchange approach. Importantly, the FPM technique achieved an average throughput of 5.4 light response curves per hour, which was 3 times faster than the 1.8 light response curves per hour using the traditional method. Tillers sampled at early morning had the highest photosynthesis, stomatal conductance and the lowest variability. In addition, even 12 h after sampling, there was no significant difference of photosynthesis rate between excised tillers and in situ. We finally investigated the genetic variations of photosynthetic traits across 568 F2 lines using the FPM technique and discussed the logistics of screening several hundred samples per day per instrumental unit using FPM to generate a wealth of photosynthetic phenotypic data, which might help to improve the selection power in large populations of rice with the ultimate aim of improving yield through improved photosynthesis. Conclusions:Here we developed a high-throughput method that can measure the rice leaf photosynthetic capacity approximately 10 times faster than traditional gas exchange approaches. Importantly, this method can overcome measurement errors caused by environmental heterogeneity under field conditions, and it is possible to measure 12 or more hours per day under lab conditions.

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“…This ABA-independent response of GC to VPD may be due to the passive-hydraulic response mechanism, which may be attributed to either ancestral regulation that has remained significant in some angiosperm species, including Arabidopsis (McAdam and Brodribb, 2015), or a mechanism that regulates the GC response to a new steady state in bulk leaf turgor (i.e., the new balance between pressures of the GC and epidermal cells; Glinka and Aviv, 1971; Zait et al , 2017). The second possibility could explain GCabi’s larger apertures under ambient conditions (operating close to turgor loss point; Fig.…”

Section: Discussionmentioning

confidence: 99%