» Articles » PMID: 35143386

Genomic Analysis Reveals High Intra-species Diversity of

Overview
Journal Microb Genom
Specialties Genetics
Microbiology
Date 2022 Feb 10
PMID 35143386
Authors
Affiliations
Soon will be listed here.
Abstract

is widely distributed in marine and freshwater habitats, and has been proved to be an emerging marine zoonotic and human pathogen. However, the genomic characteristics and pathogenicity of are unclear. Here, the whole-genome features of 55 . strains isolated from different sources were described. Pan-genome analysis yielded 2863 (19.4 %) genes shared among all strains. Functional annotation of the core genome showed that the main functions are focused on basic lifestyle such as metabolism and energy production. Meanwhile, the phylogenetic tree of the single nucleotide polymorphisms (SNPs) of core genome divided the 55 strains into three clades, with the majority of strains from China falling into the first two clades. As for the accessory genome, 167 genomic islands (GIs) and 65 phage-related elements were detected. The CRISPR-Cas system with a high degree of confidence was predicted in 23 strains. The GIs carried a suite of virulence genes and mobile genetic elements, while prophages contained several transposases and integrases. Horizontal genes transfer based on homology analysis indicated that these GIs and prophages were parts of major drivers for the evolution and the environmental adaptation of . In addition, a rich putative virulence-associated gene pool was found. Eight classes of antibiotic-associated resistance genes were detected, and the carriage rate of β-lactam resistance genes was 100 %. In conclusion, exhibits a high intra-species diversity in the aspects of population structure, virulence-associated genes and potential drug resistance, which is helpful for its evolution in pathogenesis and environmental adaptability.

Citing Articles

Genome characterization of in Hainan Province, China.

Wang L, Chen S, Xing M, Dong L, Zhu H, Lin Y Front Microbiol. 2024; 15:1474871.

PMID: 39417074 PMC: 11480045. DOI: 10.3389/fmicb.2024.1474871.


Characterization of CRISPR-Cas Systems in and : Insights into the Adaptation and Survival of Marine Pathogens.

Wang J, Huang P, Huang Y, Mao Y, Lai C, Yeh T Pathogens. 2024; 13(6).

PMID: 38921737 PMC: 11207072. DOI: 10.3390/pathogens13060439.


Virulence, antibiotic resistance phenotypes and molecular characterisation of Vibrio furnissii isolates from patients with diarrhoea.

Zhou Y, Yu L, Liu M, Liang W, Li Z, Nan Z BMC Infect Dis. 2024; 24(1):412.

PMID: 38641583 PMC: 11027346. DOI: 10.1186/s12879-024-09273-5.


Prevalence and molecular characteristics of infection in diarrhea patients in Beijing, China 2017-2019.

Kang Y, Yu K, Huang Z, Pang B, Liu S, Peng T Front Microbiol. 2024; 15:1293577.

PMID: 38357347 PMC: 10866003. DOI: 10.3389/fmicb.2024.1293577.


complex: insights into evolutionary relationships, global distribution and pathogenicity.

Li K, Yu K, Huang Z, Liu X, Mei L, Ren X Front Cell Infect Microbiol. 2024; 13:1325379.

PMID: 38268792 PMC: 10806987. DOI: 10.3389/fcimb.2023.1325379.


References
1.
Zhuo C, Zhao Q, Xiao S . The impact of spgM, rpfF, rmlA gene distribution on biofilm formation in Stenotrophomonas maltophilia. PLoS One. 2014; 9(10):e108409. PMC: 4186781. DOI: 10.1371/journal.pone.0108409. View

2.
Wang D, Wang Y, Huang H, Lin J, Xiao D, Kan B . Identification of tetrodotoxin-producing Shewanella spp. from feces of food poisoning patients and food samples. Gut Pathog. 2013; 5(1):15. PMC: 3734009. DOI: 10.1186/1757-4749-5-15. View

3.
Gurevich A, Saveliev V, Vyahhi N, Tesler G . QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013; 29(8):1072-5. PMC: 3624806. DOI: 10.1093/bioinformatics/btt086. View

4.
Fu L, Niu B, Zhu Z, Wu S, Li W . CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics. 2012; 28(23):3150-2. PMC: 3516142. DOI: 10.1093/bioinformatics/bts565. View

5.
Tamez A, McLaughlin R, Li J, Wan X, Zheng J . Searching for putative virulence factors in the genomes of Shewanella indica and Shewanella algae. Arch Microbiol. 2020; 203(2):683-692. DOI: 10.1007/s00203-020-02060-1. View