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Structural
and functional characterization of heat-resistant wheat variety Aegilops
speltoides: Insights from bioinformatics and comparative modeling
J. Kaur1
and G. Mukherjee2*
1School
of Agricultural Biotechnology, Panjab Agricultural University, Ludhiana-141
004, India
2University
Institute of Biotechnology, Chandigarh University, Mohali-141 413, India
Received: 11 February
2025 Revised: 23 July 2025 Accepted:
28 February 2026
*Corresponding Author Email: gunjanmukherjee@gmail.com
*ORCiD: https://orcid.org/0000-0003-2835-9317
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Abstract
Aim: Heat stress
significantly impacts wheat crops worldwide. A wild species of wheat, Aegilops
speltoides, has a remarkable ability to withstand heat, making it an
ideal resource for studying how plants cope with stress. Heat shock proteins,
or HSPs, are important for keeping cells stable during high temperatures. For
this research, we used computer modeling to examine these proteins in Aegilops
speltoides.
Methodology: The study
investigated heat shock proteins (HSPs), particularly those with the DNAJ
heat shock N-terminal domain, using computer modeling to analyze Aegilops
speltoides proteins Aehsp20, Aehsp40, Aehsp70, and Aehsp101.
Methodologies included domain-based identification, secondary structure
prediction using PSIPRED, and 3D structure determination with software like
Swiss-Model and Phyre2.
Results: According to its
structural and physiochemical characteristics, TRINITY_ DN8251_c0_g1_i3 (HSP
40) is crucial for protein stability and chloroplast function under heat
stress, suggesting at its role in protein folding. This characterization lays
the stage for future research focused on functional studies to enhance heat
resistance in wheat.
Interpretation: The findings
underscore the significance of HSP40s in the development of heat-resilient
wheat varieties, suggesting that future efforts should incorporate protein
interaction studies, functional assays, and gene editing to transfer
stress-resistance traits.
Key
words:
Aegilops speltoides, Computational tools, Heat shock protein, Protein
modeling, Wheat
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