
SARS-CoV-2 게놈의 이차 구조는 다양한 핵산 치환의 빈도를 설명할 수 있으며, 특히 C→T 치환의 경우 염기쌍 형성 여부에 따라 그 빈도가 크게 달라진다.


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Accurate estimation of the effects of mutations on SARS-CoV-2 viral fitness can inform public-health responses such as vaccine development and predicting the impact of a new variant; it can also illuminate biological mechanisms including those underlying the emergence of variants of concern[1][1]. Recently, Lan et al reported a high-quality model of SARS-CoV-2 secondary structure and its underlying dimethyl sulfate (DMS) reactivity data[2][2]. I investigated whether secondary structure can explain some variability in the frequency of observing different nucleotide substitutions across millions of patient sequences in the SARS-CoV-2 phylogenetic tree[3][3]. Nucleotide basepairing was compared to the estimated “mutational fitness” of substitutions, a measurement of the difference between a substitution’s observed and expected frequency that is correlated with other estimates of viral fitness[4][4]. This comparison revealed that secondary structure is often predictive of substitution frequency, with significant decreases in substitution frequencies at basepaired positions. Focusing on the mutational fitness of C → T, the most common type of substitution, I describe C → T substitutions at basepaired positions that characterize major SARS-CoV-2 variants; such mutations may have a greater impact on fitness than appreciated when considering substitution frequency alone.

### Competing Interest Statement

The authors have declared no competing interest.

 [1]: #ref-1
 [2]: #ref-2
 [3]: #ref-3
 [4]: #ref-4

Secondary structure of the SARS-CoV-2 genome is predictive of nucleotide substitution frequency

sars-cov-2-게놈의-이차-구조가-핵산-치환-빈도를-예측할-수-있다


SARS-CoV-2 게놈의 이차 구조가 핵산 치환 빈도를 예측할 수 있다
