Phylodynamics unveils invading and diffusing patterns of dengue virus serotype-1 in Guangdong, China from 1990 to 2019 under a global genotyping framework.

BACKGROUND: The strong invasiveness and rapid expansion of dengue virus (DENV) pose a great challenge to global public health. However, dengue epidemic patterns and mechanisms at a genetic scale, particularly in term of cross-border transmissions, remain poorly understood. Importation is considered as the primary driver of dengue outbreaks in China, and since 1990 a frequent occurrence of large outbreaks has been triggered by the imported cases and subsequently spread to the western and northern parts of China. Therefore, this study aims to systematically reveal the invasion and diffusion patterns of DENV-1 in Guangdong, China from 1990 to 2019. METHODS: These analyses were performed on 179 newly assembled genomes from indigenous dengue cases in Guangdong, China and 5152 E gene complete sequences recorded in Chinese mainland. The genetic population structure and epidemic patterns of DENV-1 circulating in Chinese mainland were characterized by phylogenetics, phylogeography, phylodynamics based on DENV-1 E-gene-based globally unified genotyping framework. RESULTS: Multiple serotypes of DENV were co-circulating in Chinese mainland, particularly in Guangdong and Yunnan provinces. A total of 189 transmission clusters in 38 clades belonging to 22 subgenotypes of genotype I, IV and V of DENV-1 were identified, with 7 Clades of Concern (COCs) responsible for the large outbreaks since 1990. The epidemic periodicity was inferred from the data to be approximately 3 years. Dengue transmission events mainly occurred from Great Mekong Subregion-China (GMS-China), Southeast Asia (SEA), South Asia Subcontinent (SASC), and Oceania (OCE) to coastal and land border cities respectively in southeastern and southwestern China. Specially, Guangzhou was found to be the most dominant receipting hub, where DENV-1 diffused to other cities within the province and even other parts of the country. Genome phylogeny combined with epidemiological investigation demonstrated a clear local consecutive transmission process of a 5C1 transmission cluster (5C1-CN4) of DENV-1 in Guangzhou from 2013 to 2015, while the two provinces of Guangdong and Yunnan played key roles in ongoing transition of dengue epidemic patterns. In contextualizing within Invasion Biology theories, we have proposed a derived three-stage model encompassing the stages of invasion, colonization, and dissemination, which is supposed to enhance our understanding of dengue spreading patterns. CONCLUSIONS: This study demonstrates the invasion and diffusion process of DENV-1 in Chinese mainland within a global genotyping framework, characterizing the genetic diversities of viral populations, multiple sources of importation, and periodic dynamics of the epidemic. These findings highlight the potential ongoing transition trends from epidemic to endemic status offering a valuable insight into early warning, prevention and control of rapid spreading of dengue both in China and worldwide.

Codon usage variation of Zika virus: The potential roles of NS2B and NS4A in its global pandemic.

A comprehensive demonstration of Zika virus (ZIKV) molecular evolution is essential for understanding its adaptation and expansion in its recent pandemics. Despite several studies on mutations and codon usage in ZIKVs, the variations in codon usage patterns across individual genes and their biological implication remains unclear. Here, we performed a gene-by-gene comparison of the codon usage variation in ZIKVs of the African and Asian lineages. We found that besides the evidence of positive selection (Ka/Ks >1) in the Asian lineage of the ZIKV genome, codon usage patterns were gene-specific and codon usage variation of ZIKV genes, was possibly constrained by their individual functional features, such as transmembrane domains, or antigenicity. In particular, the NS2B and NS4A genes showed distinct codon usage patterns, clearly separating them from the clusters of other genes in the correspondence analysis (CA). In the Asian lineage, the NS2B and NS4A genes showed the highest codon usage bias (ENC values: 51.01 ±â€¯0.72 and 48.89 ±â€¯0.99 respectively), and were subjected to the highest translation selection (ENCobs/ENCexp ratio: 0.847 ±â€¯0.0297 and 0.828 ±â€¯0.0233 respectively) in comparison to the African lineages of ZIKV. The CpG frequency of the NS2B showed a gradual ascending trend in the Asian ZIKV lineages, while in NS4A it was constrained along with the expansion of the Asian lineage. Furthermore, between the African and Asian lineages, differentiated and specific over-represented codons were more prominent in the NS2B and NS4A. Together, our study implies that ZIKVs are in the process of evolutionary fine tuning their codon as seen in the recent pandemics, and NS2B and NS4A could have played a potential role in the molecular evolution of the Asian lineage and their establishment.

Taxonomic structure and functional association of foxtail millet root microbiome.

The root microbes play pivotal roles in plant productivity, nutrient uptakes, and disease resistance. The root microbial community structure has been extensively investigated by 16S/18S/ITS amplicons and metagenomic sequencing in crops and model plants. However, the functional associations between root microbes and host plant growth are poorly understood. This work investigates the root bacterial community of foxtail millet (Setaria italica) and its potential effects on host plant productivity. We determined the bacterial composition of 2882 samples from foxtail millet rhizoplane, rhizosphere and corresponding bulk soils from 2 well-separated geographic locations by 16S rRNA gene amplicon sequencing. We identified 16 109 operational taxonomic units (OTUs), and defined 187 OTUs as shared rhizoplane core OTUs. The ß-diversity analysis revealed that microhabitat was the major factor shaping foxtail millet root bacterial community, followed by geographic locations. Large-scale association analysis identified the potential beneficial bacteria correlated with plant high productivity. Besides, the functional prediction revealed specific pathways enriched in foxtail millet rhizoplane bacterial community. We systematically described the root bacterial community structure of foxtail millet and found its core rhizoplane bacterial members. Our results demonstrated that host plants enrich specific bacteria and functions in the rhizoplane. The potentially beneficial bacteria may serve as a valuable knowledge foundation for bio-fertilizer development in agriculture.