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Intermolecular Interactions Drive Protein Adaptive and Coadaptive Evolution at Both Species and Population Levels
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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.
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Cites
Highly accurate protein structure prediction with AlphaFold
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Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108
Patterns of Positive Selection in Six Mammalian Genomes
Kosiol, C., Vinař, T., da Fonseca, R. R., Hubisz, M. J., Bustamante, C. D., Nielsen, R., & Siepel, A. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000144 · Cited by 576
Supervised Machine Learning for Population Genetics: A New Paradigm
Schrider, D. R., & Kern, A. D. (2018) · Trends in Genetics · doi:10.1016/j.tig.2017.12.005 · Cited by 453 · cited 1×
“In the recently years, deep learning-based predictors and estimators have contributed to our knowledge towards protein structure (Jumper et al., 2021), protein function (Kulmanov and Hoehndorf, 2020), or even protein evolution (Schrider and Kern, 2018).”
Visualization of transient encounter complexes in protein–protein association
Tang, C., Iwahara, J., & Clore, G. M. (2006) · Nature · doi:10.1038/nature05201 · Cited by 406
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Metadata
- Authors
- Peng, J., Svetec, N., & Zhao, L.
- Affiliations
- Rockefeller University (US)
- Corresponding author
- Zhao, Li
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-12-08
- Volume
- 39
- Issue
- 1
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- PMC
- PMC8789070
- OpenAlex
- W4206512201
- Cited by
- 10
- References
- 7
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 1
- FWCI
- 0.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Biology and Evolution (publishedVersion, cc-by-nc)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Robertson Foundation
- National Institutes of Health
- National Institute of General Medical Sciences (R35GM133780)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- co-adaptation, intermolecular interactions, Drosophila, genetic differentiation, protein function, protein structure, host-pathogen interaction, protein-coding genes
- MeSH terms
- Animals, Drosophila, Phylogeny, Proteins, Genome, Evolution, Molecular
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