Related Experiment Video
Updated: Jun 6, 2025
08:03
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
Published on: April 13, 2022
2.0K
Deciphering the conformational changes induced by high-risk nsSNPs in β-lactoglobulin
Sthitaprajna Sahoo1, Vijayakumar Gosu2, Hak-Kyo Lee1,2
1Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
Heliyon
|November 25, 2024
Summary
Genetic variations in the bovine beta-lactoglobulin (BLG) gene can impact milk quality. Our study identified four specific nsSNPs that significantly alter BLG protein structure and function.
Area of Science:
- Biochemistry
- Genetics
- Dairy Science
Background:
- Beta-lactoglobulin (BLG) is the primary whey protein in bovine milk, crucial for its nutritional and industrial value.
- Genetic polymorphisms in the BLG gene can negatively affect milk quality and production.
Purpose of the Study:
- To identify and analyze deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) in the bovine BLG gene.
- To assess the impact of these nsSNPs on BLG protein structure, stability, and ligand-binding capabilities.
Main Methods:
- Computational algorithms were used to predict the deleteriousness of nsSNPs.
- Evolutionary conservation profiles were analyzed.
- Molecular dynamics simulations were performed to study structural alterations.
Main Results:
- Four nsSNPs (G17A, W19C, F136S, C119R) were identified as highly deleterious.
- These nsSNPs were predicted to destabilize the BLG protein structure.
- Molecular dynamics simulations showed significant conformational changes, affecting ligand interactions, particularly for G17A, F136S, and C119R variants.
Conclusions:
- Identified nsSNPs in BLG have the potential to impair bovine milk quality.
- These findings provide a basis for future research aimed at improving milk quality through genetic selection or modification.
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