Isolation and characterization of a novel S1-gene insertion porcine epidemic diarrhea virus with low pathogenicity in newborn piglets.
Mingjun SuYutao WangJunfang YanXiangwen XuHuihua ZhengJiongze ChengXiaoxu DuYijia LiuJiale YingYulin ZhaoZiqi WangXing DuanYang YangChangyong ChengZhihui YeJing SunDong-Bo SunHouhui SongPublished in: Virulence (2024)
Porcine epidemic diarrhea virus (PEDV) causes diarrhea and vomiting in piglets, leading to a mortality rate of 100%. Due to the high frequency of mutation, it is important to monitor the evolution of PEDV and develop potential vaccine candidates. In this study, two PEDV strains (ZJ2022 and ZQ2022) were identified by PCR. These strains were subsequently isolated, and their genome sequences, growth characteristics, and pathogenicity were compared. Phylogenetic and recombination analyses revealed that both strains belonged to GIIa-subgroup, and ZQ2022 was identified as a recombinant strain derived from ZJ2022. Further sequence analysis showed that the ZJ2022 strain had a modified top region of the S1 protein due to a three amino acid insertion (T380_Y380insGGE) in the S1 gene. According to the virus growth curve, ZJ2022 exhibited better cellular adaptation than ZQ2022, with higher viral titers from 8 hpi to 24 hpi. Additionally, ZQ2022 exhibited a high level of pathogenicity, causing severe diarrhea in piglets at 36 hpi and a 100% mortality rate by 96 hpi. In contrast, ZJ2022 showed lower pathogenicity, inducing severe diarrhea in piglets at 60 hpi, with a mortality rate of 60% at 96 hpi and 100% at 120 hpi. In summary, our findings provided evidence of the undergoing mutations in Chinese PEDV strains. Furthermore, the S gene insertion strain ZJ2022 exhibited strong cellular adaptability and low pathogenicity, making it a potential candidate strain for vaccine development.
Keyphrases
- irritable bowel syndrome
- high frequency
- escherichia coli
- biofilm formation
- clostridium difficile
- amino acid
- genome wide
- cardiovascular events
- copy number
- transcranial magnetic stimulation
- risk factors
- genome wide identification
- sars cov
- magnetic resonance
- type diabetes
- dna methylation
- dna damage
- cardiovascular disease
- computed tomography
- pseudomonas aeruginosa
- oxidative stress
- coronary artery disease
- clinical trial
- gene expression
- randomized controlled trial
- climate change
- single cell
- transcription factor
- chemotherapy induced