| Literature DB >> 25445655 |
Jingyu Guo1, Ting Liang2, Chaohui Hu3, Ruichen Lv4, Xianwei Yang4, Yujun Cui4, Youtao Song5, Ruifu Yang4, Qingyi Zhu6, Yajun Song7.
Abstract
In this study, 159 Legionella pneumophila strains isolated from various natural and artificial water sources in Guangzhou and Jiangmen, China, were subjected to genotyping by the sequence-based typing (SBT) scheme. These isolates were assigned into 53 sequence types (STs) (50 STs with seven loci data and three unidentified STs with incomplete loci profiles) with ST1 as the dominant one (14.5%), and the index of diversity (IOD) was 0.950. Eight new alleles and 34 new STs were reported here. Notably, most of the newly identified STs with seven loci data (24/34) contained no new allele, implying frequent recombination events in L. pneumophila. Five intragenic recombination events were identified in the concatenated sequences of seven loci. The diversity of STs in natural environmental isolates (41 STs, IOD=0.956) is higher than that of artificial environmental ones (17 STs, IOD=0.824). The ST patterns varied in isolates from these two sources: the most common STs from artificial water sources, ST1 and ST752 (39.2% and 13.7%), were only occasionally isolated from natural water sources (2.9% and 3.8%, respectively); while the predominant STs from natural water sources, ST1048, ST739 and ST1267 (15.2%, 6.7% and 6.7%), were less frequently seen in artificial environments (2.0%, 0% and 0%, respectively). We also found out that Legionnaires' disease associated STs might be more frequently isolated in artificial environments than in natural ones. Our data revealed remarkable genetic diversity of L. pneumophila isolates from environmental water systems of Guangzhou and Jiangmen, and the different ST distribution patterns between natural water and artificial water sources as well.Entities:
Keywords: Legionella pneumophila; Recombination; Sequence-based typing
Mesh:
Substances:
Year: 2014 PMID: 25445655 DOI: 10.1016/j.meegid.2014.10.023
Source DB: PubMed Journal: Infect Genet Evol ISSN: 1567-1348 Impact factor: 3.342