Kashima Yukie, Mizutani Taketoshi, Okimoto Yuki, Maeda Minami, Musashino Kaoru, Nishide Ryo-Ichi, Matsukura Akira, Nagase Jison, Suzuki Yutaka
Laboratory of Functional Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Kashiwa City Public Health Center, Kashiwa City, Chiba, Japan.
DNA Res. 2023 Oct 1;30(5). doi: 10.1093/dnares/dsad020.
Understanding the factors driving the spread and evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the local, regional, national, and international levels is important in protecting against future pandemics. By exploring their viral genomes, we attempted to analyse the spread of SARS-CoV-2 and its evolutionary convergence in Kashiwa City, as an example of a representative commuter town in Japan. From September 2020 to January 2023, a total of 47,134 nasopharyngeal swab and saliva specimens were collected from patients in 47 local clinics and hospitals, covering the vast majority of healthcare facilities. All SARS-CoV-2-positive samples were subjected to whole genome sequencing. Based on the analysis of 5,536 identified genomes, all major strains were represented. Unique regional mutations were occasionally identified in each strain. Inspection of these mutations revealed that the overall base substitution rate increased with progressive waves of the pandemic, at an overall rate of 2.56 bases/year. Interestingly, the spread and evolutionary patterns appeared to be distinct between regions and between individual clinics. Further analysis of the synonymous base substitution rate showed that the speed of viral evolution accelerated coincident with the beginning of public vaccination. Comprehensive genomic epidemiological studies, as presented here, should be useful in precisely understanding the pandemic and preparing for possible future pandemics.
了解在地方、区域、国家和国际层面推动严重急性呼吸综合征冠状病毒2(SARS-CoV-2)传播和进化的因素,对于防范未来的大流行至关重要。作为日本一个典型通勤城镇的例子,我们通过研究病毒基因组,试图分析SARS-CoV-2在柏市的传播情况及其进化趋同现象。2020年9月至2023年1月,我们从47家当地诊所和医院的患者中总共采集了47134份鼻咽拭子和唾液样本,涵盖了绝大多数医疗设施。所有SARS-CoV-2阳性样本均进行了全基因组测序。基于对5536个已鉴定基因组的分析,所有主要毒株都有体现。在每个毒株中偶尔会发现独特的区域突变。对这些突变的检查表明,随着疫情的逐步蔓延,总体碱基替换率有所上升,总体速率为每年2.56个碱基。有趣的是,不同区域之间以及各个诊所之间的传播和进化模式似乎有所不同。对同义碱基替换率的进一步分析表明,病毒进化速度随着公共疫苗接种的开始而加快。本文所展示的全面基因组流行病学研究,应有助于准确了解大流行情况并为未来可能的大流行做好准备。