Drought response profiling in Photosystem II: linking protein abundance to physiological traits in cotton cultivars

Technology
University

A research program investigating how drought stress alters Photosystem II protein profiles and physiological responses across Gossypium cultivars. Combines gas exchange, multispectral imaging, water potential measurements, and LC-MS/MS proteomics to identify biomarkers linking molecular changes to whole-plant drought tolerance, supporting development of more resilient crop varieties.

Overview

This research program addresses a critical gap in agricultural science by connecting molecular-level protein responses to whole-plant physiological outcomes under drought conditions. The focus is on Photosystem II (PSII), a central protein complex in the photosynthetic electron transport chain that governs how plants convert light energy into chemical energy while managing water dynamics. By profiling PSII-related protein abundance alongside gas exchange, multispectral, and water potential measurements across multiple cotton (Gossypium) cultivars, the program aims to identify protein signatures that distinguish drought-tolerant from drought-susceptible varieties. These insights can guide breeding programs and crop management strategies aimed at sustaining yield under increasing water scarcity.

Technical specifications

Research approach:

  • Controlled greenhouse or growth chamber experiments comparing fully watered and drought conditions across diverse Gossypium cultivars spanning a tolerance spectrum
  • Time-course physiological measurements using gas exchange systems to assess photosynthesis rates, stomatal conductance, and transpiration
  • Multispectral imaging to capture canopy-level reflectance and stress indicators
  • Water potential measurements to quantify plant hydration status
  • Tissue sampling synchronized with physiological measurements for downstream protein analysis
  • LC-MS/MS (liquid chromatography tandem mass spectrometry) proteomics to quantify relative abundance of PSII machinery proteins and stress-response proteins
  • Correlation analysis linking protein abundance profiles to physiological traits to identify candidate biomarkers of drought tolerance

Key differentiator: The cross-scale integration of biophysical measurements with proteomics data, treating water dynamics in PSII as a scale-invariant property governed by fundamental biophysical principles.

Technology readiness level

The program is at an early-to-mid stage of development. Preliminary work has been completed in collaboration with a proteomics laboratory, establishing the feasibility of linking PSII protein-level responses to physiological phenomena. Future validation will expand the cultivar panel and refine the experimental pipeline under controlled conditions. The work is positioned to generate publishable findings and biomarker candidates suitable for downstream breeding or biotechnology applications, with potential to transition into sponsored research partnerships with agricultural technology companies, seed companies, or crop improvement consortia.


About University of Wyoming

A comprehensive public land‑grant university serving Wyoming from its Laramie campus and regional sites. Industry engages through co‑located high‑bay and pilot‑scale facilities, field stations across the state, and an incubator network that provides mentorship and startup space. A partnership with a national supercomputing center in Cheyenne enables advanced modeling, visualization, and large‑dataset workflows, while the extension network connects companies to talent and end users in every county. Research is supported by competitive federal funding from agencies such as NSF, DOE, USDA, and NIH, alongside state and industry collaboration. A dedicated technology transfer office advises on IP, licensing, and commercialization.

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