Comparing the molecular evolution and recombination patterns of predominant PRRSV-2 lineages co-circulating in China

Front Microbiol. 2024 Apr 26:15:1398470. doi: 10.3389/fmicb.2024.1398470. eCollection 2024.

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) poses widespread epidemics in swine herds, yet the drivers underlying lineage replacements/fitness dynamics remain unclear. To delineate the evolutionary trajectories of PRRSV-2 lineages prevalent in China, we performed a comprehensive longitudinal phylodynamic analysis of 822 viral sequences spanning 1991-2022. The objectives encompassed evaluating lineage dynamics, genetic diversity, recombination patterns and glycosylation profiles. A significant shift in the dominance of PRRSV-2 sub-lineages has been observed over the past 3 decades, transitioning from sub-lineage 8.7 to sub-lineage 1.8, followed by extensive diversification. The analysis revealed discordant recombination patterns between the two dominant viral sub-lineages 1.8 and 8.7, underscoring that modular genetic exchanges contribute significantly to their evolutionary shaping. Additionally, a strong association was found between recombination breakpoint locations and transcriptional regulatory sequences (TRSs). Glycosylation patterns also demonstrated considerable variability across sub-lineages and temporally, providing evidence for immune-driven viral evolution. Furthermore, we quantified different evolutionary rates across sub-lineages, with sub-lineage 1.8 uniquely displaying the highest nucleotide substitution rates. Taken together, these findings provide refined insight into the evolutionary mechanisms underpinning cyclic shifts in dominance among regionally circulating PRRSV sub-lineages.

Keywords: Bayesian; PRRSV; evolution dynamics; glycosylation; recombination hotspots.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by grants from the National Natural Science Foundation of China awarded to XW (grant no. 31672581) and the grants from the General Projects of Key R&D Program in Shaanxi Province (2022SF-421).