Stomatal Patterning

Stomatal patterning is the developmental process that determines the density, distribution, and spacing of stomata, microscopic pores that regulate gas exchange and water loss in plant leaves. In the epidermis, precursor cells undergo asymmetric divisions and specialize through transcription factors including SPEECHLESS, MUTE, and FAMA, while EPF peptide signals and receptor-like kinases help enforce spacing between neighboring stomata. This coordinated pattern balances carbon dioxide uptake for photosynthesis with control of transpiration and drought-related water loss. Studying stomatal patterning reveals how plants organize specialized tissues and supports research aimed at improving crop productivity, water-use efficiency, and resilience to changing environmental conditions.

Stomatal Patterning - Related Videos

Research

JoVE Journal - Biology
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Relating Stomatal Conductance to Leaf Functional Traits

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Cited by 39 •

2015

Unraveling how physiology and morphology are linked allows a deeper understanding of mechanistic functioning of plant leaves. We present both a procedure to derive parameters of stomatal regulation from stomatal conductance measurements and correlations with traditional functional leaf traits.

Assessing Stomatal Response to Live Bacterial Cells using Whole Leaf Imaging

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Cited by 38 •

2010

We have developed a simple and reproducible protocol to access stomatal response to live bacteria. This method minimizes wounding and manipulation of the leaf as compared to the use of epidermal peels reported previously.

Research

JoVE Journal - Biology
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Measurement of Leaf Hydraulic Conductance and Stomatal Conductance and Their Responses to Irradiance and Dehydration Using the Evaporative Flux Method (EFM)

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Cited by 105 •

2012

We describe a relatively rapid (30 min) and realistic method for simultaneously measurement of leaf hydraulic conductance (Kleaf) and stomatal conductance (gs) for transpiring excised leaves. The method can be modified to measure the light and dehydration responses of Kleaf and gs.

Research

JoVE Journal - Biology

Understanding Cerebellar Pattern Formation

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2007

Research

JoVE Journal - Neuroscience
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Cross-Modal Multivariate Pattern Analysis

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Cited by 5 •

2011

Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.

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