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Updated: May 20, 2026
04:52
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Molecular basis for population variation: from SNPs to SAPs.
1Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. wujr@sibs.ac.cn
FEBS Letters
|July 26, 2012
Summary
Single amino-acid polymorphisms (SAPs) from non-synonymous single nucleotide polymorphisms (SNPs) and RNA editing were identified in plasma proteomes. These protein variations are linked to population traits and may arise de novo.
Area of Science:
- Genomics
- Proteomics
- Molecular Biology
Background:
- Single nucleotide polymorphisms (SNPs) are common genomic variations.
- Non-synonymous SNPs lead to single amino-acid polymorphisms (SAPs), causing protein variations.
- SAPs are increasingly recognized as significant contributors to biological diversity.
Purpose of the Study:
- To systematically identify single amino-acid polymorphisms (SAPs) in plasma proteomes using proteomic approaches.
- To investigate the associations of heterozygous and homozygous SAPs with population traits.
- To explore novel sources of SAPs beyond genomic variations.
Main Methods:
- Proteomic analysis of plasma samples from an Asian population.
- Systematic identification and characterization of single amino-acid polymorphisms (SAPs).
- Statistical analysis to associate SAPs with specific traits.
Main Results:
- SAPs were systematically identified in the plasma proteome of an Asian population.
- Heterozygous and homozygous proteins with SAPs showed differential associations with population traits.
- RNA editing and potential de novo synthesis were identified as additional sources of SAPs.
Conclusions:
- Plasma proteomes exhibit significant variation due to single amino-acid polymorphisms (SAPs).
- SAPs, originating from SNPs and RNA editing, influence population traits.
- The study highlights the complexity of protein variation beyond genomic sequences.
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