| Literature DB >> 33430508 |
Bishoy Wadie1, Mohamed A Abdel-Fattah2, Alshymaa Yousef1, Shaimaa F Mouftah1, Mohamed Elhadidy1,3, Tamer Z Salem1,4.
Abstract
Campylobacter spp. represents the most common cause of gastroenteritis worldwide with the potential to cause serious sequelae. The ability of Campylobacter to survive stressful environmental conditions has been directly linked with food-borne illness. Toxin-antitoxin (TA) modules play an important role as defense systems against antimicrobial agents and are considered an invaluable strategy harnessed by bacterial pathogens to survive in stressful environments. Although TA modules have been extensively studied in model organisms such as Escherichia coli K12, the TA landscape in Campylobacter remains largely unexplored. Therefore, in this study, a comprehensive in silico screen of 111 Campylobacter (90 C. jejuni and 21 C. coli) isolates recovered from different food and clinical sources was performed. We identified 10 type II TA systems belonging to four TA families predicted in Campylobacter genomes. Furthermore, there was a significant association between the clonal population structure and distribution of TA modules; more specifically, most (12/13) of the Campylobacter isolates belonging to ST-21 isolates possess HicB-HicA TA modules. Finally, we observed a high degree of shared synteny among isolates bearing certain TA systems or even coexisting pairs of TA systems. Collectively, these findings provide useful insights about the distribution of TA modules in a heterogeneous pool of Campylobacter isolates from different sources, thus developing a better understanding regarding the mechanisms by which these pathogens survive stressful environmental conditions, which will further aid in the future designing of more targeted antimicrobials.Entities:
Keywords: Campylobacter; MLST; antitoxin; domain; genome; in silico; synteny; toxin
Mesh:
Year: 2021 PMID: 33430508 PMCID: PMC7826846 DOI: 10.3390/genes12010072
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.096