Comparative genome analysis of 15 clinical Shigella flexneri strains regarding virulence and antibiotic resistance

• Published in: AIMS microbiology 2019-01, Vol.5 (3), p.205-222
• Main Authors: Wang, Liang, Zhu, Zuobin, Qian, Huimin, Li, Ying, Chen, Ying, Ma, Ping, Gu, Bing
• Format: Article
• Language: English
• Subjects: antibiotics resistance; comparative genomics; hmmer; prokka; shigella; virulence factor
• ISSN: 2471-1888; 2471-1888
• DOI: 10.3934/microbiol.2019.3.205

Shigellosis is the major cause of dysentery globally. It is mainly attributed to two species, and , which leads to approximately 165 million infections and 1.1 million deaths each year. Rapid increase and widening of spectrum in antibiotics resistance make hard to be adequately controlled through existing prevention and treatment measures. It has also been observed that enhanced virulence and advent of antibiotic resistance (AR) could arise almost simultaneously. However, genetic linkages between the two factors are missing or largely ignored, which hinders experimental verification of the relationship. In this study, we sequenced 15 clinically isolated strains. Genome assembly, annotation and comparison were performed through routine pipelines. Differential resistant profiles of all 15 strains to nine antibiotics were experimentally verified. Virulence factors (VFs) belonging to 4 categories and 31 functional groups from the Virulence Factor Database (VFDB) were used to screen all translated CDSs. Distribution patterns of virulence factors were analysed by correlating with the profiles of bacterial antibiotics resistance. In addition, multi-resistant strains were compared with antibiotic-sensitive strains by focusing on the abundance or scarcity of specific groups of VFs. By doing these, a clear view of the relationships between virulence factors and antibiotics resistance in could be achieved, which not only provides a set of genetic evidence to support the interactions between VFs and AR but could also be used as a guidance for further verification of the relationships through manipulating specific groups of virulence factors.