文献类型：期刊文献

英文题名：A new and effective genes-based method for phylogenetic analysis of Klebsiella pneumoniae

作者：Zhou, Xiaoqin[1];Chu, Qiyu[1,2];Li, Shengming[1];Yang, Menglei[1];Bao, Yangyang[1];Zhang, Yang[1];Fu, Shuilin[1];Gong, Heng[1]

机构：[1]East China Univ Sci & Technol, State Key Lab Bioreactor Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Shanghai Normal Univ, Coll Life & Environm Sci, 100 Guilin Rd, Shanghai 200234, Peoples R China

年份：2022

卷号：100

外文期刊名：INFECTION GENETICS AND EVOLUTION

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000805385200002)】；

基金：Acknowledgements This work was supported by the National Natural Science Foundation of China under Grant No. 31271862.

语种：英文

外文关键词：Klebsiella pneumoniae; Core genes; Nitrogen-fixing bacteria; Phylogenetic analysis; Virulence genes

摘要：The exponential increase in the number of genomes deposited in public databases can help us gain a more holistic understanding of the phylogeny and epidemiology of Klebsiella pneumoniae. However, inferring the evolutionary relationships of K. pneumoniae based on big genomic data is challenging for existing methods. In this study, core genes of K. pneumoniae were determined and analysed in terms of differences in GC content, mutation rate, size, and potential functions. We then developed a stable genes-based method for big data analysis and compared it with existing methods. Our new method achieved a higher resolution phylogenetic analysis of K. pneumoniae. Using this genes-based method, we explored global phylogenetic relationships based on a public database of nearly 953 genomes. The results provide useful information to facilitate the phylogenetic and epidemiological analysis of K. pneumoniae, and the findings are relevant for security applications.