Li Bingzhe, Wu Han, Miao Ziping, Hu Linjie, Zhou Lu, Lu Yihan
Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Institute of Communicable Diseases Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Front Microbiol. 2022 Jun 21;13:938651. doi: 10.3389/fmicb.2022.938651. eCollection 2022.
Hepatitis E virus (HEV) is an emerging zoonotic pathogen with multiple species and genotypes, which may be classified into human, animal, and zoonotic HEV. Codon usage bias of HEV remained unclear. This study aims to characterize the codon usage of HEV and elucidate the main drivers influencing the codon usage bias. A total of seven HEV genotypes, HEV-1 (human HEV), HEV-3 and HEV-4 (zoonotic HEV), HEV-8, HEV-B, HEV-C1, and HEV-C2 (emerging animal HEV), were included in the study. Complete coding sequences, ORF1, ORF2, and ORF3, were accordingly obtained in the GenBank. Except for HEV-8, the other six genotypes tended to use codons ending in G/C. Based on the analysis of relatively synonymous codon usage (RSCU) and principal component analysis (PCA), codon usage bias was determined for HEV genotypes. Codon usage bias differed widely across human, zoonotic, and animal HEV genotypes; furthermore, it varied within certain genotypes such as HEV-4, HEV-8, and HEV-C1. In addition, dinucleotide abundance revealed that HEV was affected by translation selection to form a unique dinucleotide usage pattern. Moreover, parity rule 2 analysis (PR2), effective codon number (ENC)-plot, and neutrality analysis were jointly performed. Natural selection played a leading role in forming HEV codon usage bias, which was predominant in HEV-1, HEV-3, HEV-B and HEV-C1, while affected HEV-4, HEV-8, and HEV-C2 in combination with mutation pressure. Our findings may provide insights into HEV evolution and codon usage bias.
戊型肝炎病毒(HEV)是一种新出现的人畜共患病原体,具有多个种和基因型,可分为人HEV、动物HEV和人畜共患HEV。HEV的密码子使用偏好尚不清楚。本研究旨在表征HEV的密码子使用情况,并阐明影响密码子使用偏好的主要驱动因素。该研究共纳入了7种HEV基因型,即HEV-1(人HEV)、HEV-3和HEV-4(人畜共患HEV)、HEV-8、HEV-B、HEV-C1和HEV-C2(新出现的动物HEV)。相应地从GenBank中获得了完整的编码序列,即开放阅读框1(ORF1)、开放阅读框2(ORF2)和开放阅读框3(ORF3)。除HEV-8外,其他6种基因型倾向于使用以G/C结尾的密码子。基于相对同义密码子使用情况(RSCU)分析和主成分分析(PCA),确定了HEV各基因型的密码子使用偏好。人、人畜共患和动物HEV基因型之间的密码子使用偏好差异很大;此外,在某些基因型如HEV-4、HEV-8和HEV-C1中也存在差异。此外,二核苷酸丰度显示HEV受翻译选择影响,形成了独特的二核苷酸使用模式。此外,还联合进行了奇偶规则2分析(PR2)、有效密码子数(ENC)作图和中性分析。自然选择在形成HEV密码子使用偏好中起主导作用,这在HEV-1、HEV-3、HEV-B和HEV-C1中占主导地位,而在HEV-4、HEV-8和HEV-C2中,自然选择与突变压力共同起作用。我们的研究结果可能为HEV的进化和密码子使用偏好提供见解。