Molecular biological characteristics of the 2019 novel Coronavirus in Shijiazhuang
10.3760/cma.j.cn114452-20211030-00672
- VernacularTitle:石家庄新型冠状病毒肺炎疫情新型冠状病毒分子流行病学特征
- Author:
Huixia GAO
1
;
Lin YANG
;
Yun GUO
;
Yicong WANG
;
Yuzhen LIU
;
Yue TANG
;
Zhang HE
;
Xinming LIANG
;
Shunkai HUANG
;
Peng GAO
;
Ying HUANG
;
Muwei DAI
;
Zhi ZHANG
;
Qian HU
;
Yuling WANG
;
Fang CHEN
;
Erhei DAI
;
Ping JIANG
;
Yutao DU
Author Information
1. 石家庄市第五医院检验科，石家庄050021
- Keywords:
2019-nCoV;
COVID-19;
Multiplex PCR-based sequencing
- From:
Chinese Journal of Laboratory Medicine
2022;45(6):637-641
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the molecular epidemiological characteristics of the Corona virus disease 2019 (COVID-19) cases in Shijiazhuang, which can reveal the origin of the outbreak and provide a scientific basis for COVID-19 prevention and control.Methods:From January 2 to January 8, 2021, a total of 404 samples from 170 COVID-19 cases were collected from the Shijiazhuang Fifth Hospital. The consensus sequence of 2019 novel Coronavirus(2019-nCoV) was obtained through multiplex polymerase chain reaction-based sequencing. The sequences of 170 COVID-19 cases were analyzed by the PANGOLIN, and the data were statistically analyzed by T-test.Results:Among the 404 COVID-19 samples, a total of 356 samples obtained high quality genome sequences (>95%,100×sequencing depth). The whole genome sequences of 170 COVID-19 cases were obtained by eliminating repeated samples. All 170 sequences were recognized as lineage B1.1 using PANGOLIN. The number of single nucleotide polymorphism arrange from 18-22 and most of the single nucleotide polymorphism were synonymous variants. All of 170 genomes could be classified into 48 sub-groups and most of the genomes were classified into 2 sub-groups (66 and 31, respectively).Conclusions:All cases in this study are likely originated from one imported case. The viruses have spread in the community for a long time and have mutated during the community transmission.
