Tai Jui-Hung, Lee Ding-Chin, Lin Hsin-Fu, Chao Tai-Ling, Ruan Yongsen, Cheng Ya-Wen, Chou Yu-Chi, Lin You-Yu, Chang Sui-Yuan, Chen Pei-Jer, Yeh Shiou-Hwei, Wang Hurng-Yi
Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei, 10617, Taiwan.
Virol J. 2025 Apr 19;22(1):107. doi: 10.1186/s12985-025-02727-5.
To be successful, a virus must maintain high between-host transmissibility while also effectively adapting within hosts. The impact of these potentially conflicting demands on viral genetic diversity and adaptation remains largely unexplored. These modes of adaptation can induce uncorrelated selection, bring mutations that enhance certain fitness aspects at the expense of others to high freqency, and contribute to the maintenance of genetic variation. The vast wealth of SARS-CoV-2 genetic data gathered from within and across hosts offers an unparalleled opportunity to test the above hypothesis. By analyzing a large set of SARS-CoV-2 sequences (~ 2 million) collected from early 2020 to mid-2021, we found that high frequency mutations within hosts are sometimes detrimental during between-host transmission. This highlights potential inverse selection pressures within- versus between-hosts. We also identified a group of nonsynonymous changes likely maintained by pleiotropy, as their frequencies are significantly higher than neutral expectation, yet they have never experienced clonal expansion. Analyzing one such mutation, spike M1237I, reveals that spike I1237 boosts viral assembly but reduces in vitro transmission, highlighting its pleiotropic effect. Though they make up about 2% of total changes, these types of variants represent 37% of SARS-CoV-2 genetic diversity. These mutations are notably prevalent in the Omicron variant from late 2021, hinting that pleiotropy may promote positive epistasis and new successful variants. Estimates of viral population dynamics, such as population sizes and transmission bottlenecks, assume neutrality of within-host variation. Our demonstration that these changes may affect fitness calls into question the robustness of these estimates.
要成功传播,病毒必须保持较高的宿主间传播能力,同时还要在宿主体内有效适应。这些潜在相互冲突的要求对病毒遗传多样性和适应性的影响在很大程度上仍未得到探索。这些适应模式可诱导不相关的选择,使以牺牲其他适应性方面为代价增强某些适应性方面的突变达到高频,并有助于维持遗传变异。从宿主内部和宿主之间收集的大量SARS-CoV-2基因数据提供了一个无与伦比的机会来检验上述假设。通过分析从2020年初到2021年年中收集的一大组SARS-CoV-2序列(约200万条),我们发现宿主体内的高频突变在宿主间传播时有时是有害的。这突出了宿主内与宿主间潜在的反向选择压力。我们还确定了一组可能由多效性维持的非同义变化,因为它们的频率明显高于中性预期,但它们从未经历过克隆扩增。分析其中一个这样的突变,即刺突蛋白M1237I,发现刺突蛋白I1237促进病毒组装,但降低体外传播能力,突出了其多效性作用。尽管这些类型的变异约占总变化的2%,但它们占SARS-CoV-2遗传多样性的37%。这些突变在2021年末的奥密克戎变体中尤为普遍,这表明多效性可能促进正向上位性和新的成功变体。对病毒种群动态的估计,如种群大小和传播瓶颈,假定宿主内变异是中性的。我们证明这些变化可能影响适应性,这对这些估计的稳健性提出了质疑。