2019-2022年B型流感维多利亚血统(Bv)的流行和爆发导致了对遗传,表位,带电氨基酸和Bv爆发。基于国家流感监测网络(NISN),2019-2022年分离的Bv72株是通过时空采样选择的,然后测序。使用比较手段,关联和集群,对疫情数据进行了分析,包括单核苷酸变异(SNV),氨基酸(AA),表位,进化率(ER),香农熵值(SV),带电的氨基酸和爆发。随着COVID-19的出现,非药物干预措施(NPI)的传播距离较短,只有Bv爆发。2021-2022菌株中的HA基因位于同一子集,但与2019-2020年菌株不同(P<0.001)。核苷酸中的密码子G→A转换比例最高,但C→A和T→A的颠倒对爆发的贡献最大,而以极性为特征的氨基酸突变的增加,酸性和碱性特征在2021-2022年的Bv疫情中发挥了关键作用。ER和SV在HA基因(R=0.690)和NA基因(R=0.711)中呈正相关,分别,然而,从2020年初到2022年,HA基因的突变数量是NA基因的1.59倍(2.15/1.36)。HA基因中的正选择位点174、199、214和563以及NA基因中的位点73和384是在2021-2022年流感爆发中进化选择的。总的来说,与2021-2022年流感爆发相关的流行因素包括流行时机,电视,Ts,电视/Ts,P137(B→P),P148(B→P),P199(P→A),P212(P→A),P214(H→P)和P563(B→P)。氨基酸突变对电荷/pH的偏好可能会影响传染病的流行/爆发趋势。这是传染病病原体进化的良好模型。这项研究,由于病毒学的进一步探索,遗传学,生物信息学和疫情信息,可能有助于进一步了解它们在传染病传播中的深层相互作用机制。
The epidemic and outbreaks of influenza B Victoria lineage (Bv) during 2019-2022 led to an analysis of genetic, epitopes, charged amino acids and Bv outbreaks. Based on the National Influenza Surveillance Network (NISN), the Bv 72 strains isolated during 2019-2022 were selected by spatio-temporal sampling, then were sequenced. Using the Compare Means, Correlate and Cluster, the outbreak data were analyzed, including the single nucleotide variant (SNV), amino acid (AA), epitope, evolutionary rate (ER), Shannon entropy value (SV), charged amino acid and outbreak. With the emergence of COVID-19, the non-pharmaceutical interventions (NPIs) made Less distant transmission and only Bv outbreak. The 2021-2022 strains in the HA genes were located in the same subset, but were distinct from the 2019-2020 strains (P < 0.001). The codon G → A transition in nucleotide was in the highest ratio but the transversion of C → A and T → A made the most significant contribution to the outbreaks, while the increase in amino acid mutations characterized by polar, acidic and basic signatures played a key role in the Bv epidemic in 2021-2022. Both ER and SV were positively correlated in HA genes (R = 0.690) and NA genes (R = 0.711), respectively, however, the number of mutations in the HA genes was 1.59 times higher than that of the NA gene (2.15/1.36) from the beginning of 2020 to 2022. The positively selective sites 174, 199, 214 and 563 in HA genes and the sites 73 and 384 in NA genes were evolutionarily selected in the 2021-2022 influenza outbreaks. Overall, the prevalent factors related to 2021-2022 influenza outbreaks included epidemic timing, Tv, Ts, Tv/Ts, P137 (B → P), P148 (B → P), P199 (P → A), P212 (P → A), P214 (H → P) and P563 (B → P). The preference of amino acid mutations for charge/pH could influence the epidemic/outbreak trends of infectious diseases. Here was a good model of the evolution of infectious disease pathogens. This study, on account of further exploration of virology, genetics, bioinformatics and outbreak information, might facilitate further understanding of their deep interaction mechanisms in the spread of infectious diseases.