Department of Infectious Diseases, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Department of Pathobiology and Laboratory Sciences, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Infect Genet Evol. 2020 Dec;86:104625. doi: 10.1016/j.meegid.2020.104625. Epub 2020 Nov 7.
In late 2019, an outbreak of respiratory disease named COVID-19 started in the world. To date, thousands of cases of infection are reported worldwide. Most researchers focused on epidemiology and clinical features of COVID-19, and a small part of studies was performed to evaluate the genetic characteristics of this virus. Regarding the high price and low availability of sequencing techniques in developing countries, here we describe a rapid and inexpensive method for the detection of D614G mutation in SARS-CoV-2. Using bioinformatics databases and software, we designed the PCR-RFLP method for D614G mutation detection. We evaluated 144 SARS-CoV-2 positive samples isolated in six months in Northeastern Iran. Our results showed that the prevalent type is S-D in our isolates, and a small number of isolated belongs to the S-G type. Of 144 samples, 127 (88.2%) samples have belonged to type S-D, and 13 (9%) samples typed S-G. The first S-G type was detected on 2020 June 10. We have little information about the prevalence of D614G mutation, and it seems that the reason is the lack of cheap and fast methods. We hope that this method will provide more information on the prevalence and epidemiology of D614G mutations worldwide.
2019 年末，一种名为 COVID-19 的呼吸道疾病在全球爆发。截至目前，全球已报告数千例感染病例。大多数研究人员关注 COVID-19 的流行病学和临床特征，只有一小部分研究用于评估该病毒的遗传特征。由于发展中国家测序技术价格高且可用性低，我们在此描述了一种快速且廉价的检测 SARS-CoV-2 中 D614G 突变的方法。我们使用生物信息学数据库和软件设计了用于检测 D614G 突变的 PCR-RFLP 方法。我们评估了伊朗东北部六个月内分离的 144 份 SARS-CoV-2 阳性样本。结果表明，我们分离株中的优势型别为 S-D，少数分离株属于 S-G 型。在 144 个样本中，有 127 个（88.2%）样本属于 S-D 型，13 个（9%）样本属于 S-G 型。第一个 S-G 型于 2020 年 6 月 10 日被检测到。我们对 D614G 突变的流行率知之甚少，原因似乎是缺乏廉价且快速的方法。我们希望这种方法能为全球范围内 D614G 突变的流行率和流行病学提供更多信息。
