FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
Reference Report
Open Close
Reference
Citation
Peng, J., Svetec, N., Zhao, L. (2022). Intermolecular Interactions Drive Protein Adaptive and Coadaptive Evolution at Both Species and Population Levels.  Mol. Biol. Evol. 39(1): msab350.
FlyBase ID
FBrf0252521
Publication Type
Research paper
Abstract
Proteins are the building blocks for almost all the functions in cells. Understanding the molecular evolution of proteins and the forces that shape protein evolution is essential in understanding the basis of function and evolution. Previous studies have shown that adaptation frequently occurs at the protein surface, such as in genes involved in host-pathogen interactions. However, it remains unclear whether adaptive sites are distributed randomly or at regions associated with particular structural or functional characteristics across the genome, since many proteins lack structural or functional annotations. Here, we seek to tackle this question by combining large-scale bioinformatic prediction, structural analysis, phylogenetic inference, and population genomic analysis of Drosophila protein-coding genes. We found that protein sequence adaptation is more relevant to function-related rather than structure-related properties. Interestingly, intermolecular interactions contribute significantly to protein adaptation. We further showed that intermolecular interactions, such as physical interactions, may play a role in the coadaptation of fast-adaptive proteins. We found that strongly differentiated amino acids across geographic regions in protein-coding genes are mostly adaptive, which may contribute to the long-term adaptive evolution. This strongly indicates that a number of adaptive sites tend to be repeatedly mutated and selected throughout evolution in the past, present, and maybe future. Our results highlight the important roles of intermolecular interactions and coadaptation in the adaptive evolution of proteins both at the species and population levels.
PubMed ID
PubMed Central ID
PMC8789070 (PMC) (EuropePMC)
Associated Information
Comments
Associated Files
Other Information
Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Mol. Biol. Evol.
    Title
    Molecular Biology and Evolution
    Publication Year
    1983-
    ISBN/ISSN
    0737-4038 1537-1719
    Data From Reference
    Genes (9)