The phylodynamic of H1a genotype measles virus in Jiangsu province, China, 2005-2017

Abstract

Background: The change on the pressures during viruses evolving will cause changes in phylodynamic. To know phylodynamic characteristic of measles virus in high vaccination coverage era, the phylodynamic characteristic was analyzed using nucleoprotein gene sequences of measles viruses isolated from Jiangsu province of China from 2005 to 2017. Methods: Nucleoprotein gene sequences of measles viruses were used to analyze gene distance and construct phylogenetic tree with Markov chain Monte Carlo algorithm. The mean gene distance within each group was computed with MEGA7.0 software. The phylodynamic of measles virus circulating in Jiangsu province was constructed using Bayesian skyline plot analyses. Results: Our results showed that the decline trend is observed in the gene distance of nucleoprotein gene and effective population size of measles virus with time. Two clusters of H1a genotype shows multiple origins and the extinction of variants with time. Conclusion: These findings highlight that phylodynamic of measles viruses is a helpful tool to assess the effectiveness of epidemic control.

Impacts of Cropland Utilization Patterns on the Sustainable Use Efficiency of Cropland Based on the Human–Land Perspective

“…Genetic algorithm-based dimensionality reduction involves the mapping of high-dimensional data into a lower-dimensional space. Unlike conventional dimensionality reduction techniques, such as principal component analysis (PCA) [39], genetic algorithms have the capacity to select a superior projection matrix, thereby more effectively preserving the structural integrity of the original data. Consequently, this study employs an SBM model coupled with a genetic algorithm for dimensionality reduction to evaluate the sustainable efficiency of arable land resource use.…”