Genomic Insight into Natural Inactivation of Shiga Toxin 2 Production in an Environmental Escherichia coli Strain Producing Shiga Toxin 1

Abstract

Shiga toxin-producing Escherichia coli (STEC) consists of a group of diverse strains differing greatly in genetic make-up and pathogenicity potential. Here, we investigated production of Shiga toxins (Stxs) in a bovine isolate carrying multiple Shiga toxin genes (stxs) after exposure to several antibiotics commonly used in food animals. Strain RM10809-C3 was co-isolated with a STEC O145:H28 strain from cattle feces near a leafy greens-growing region in California. The genome of RM10809-C3 is composed of a 5,128,479-bp chromosome and a 122,641-bp plasmid, encoding 5108 coding sequences. Strain RM10809-C3 belongs to serotype O22:H8 and is clustered together with two STEC O168:H8 food isolates using either multilocus sequence type or core genome-based phylogenetic analysis. Six intact prophages were identified in the genome of RM10809-C3, among which prophage 4 contained two sets of stx _2d; whereas prophage 9 carried one set of stx _1a. Increased production of Stx1 was detected in RM10809-C3 after exposure to mitomycin C and enrofloxacin, but not in cells exposed to tetracycline. In contrast, Stx2 remained undetectable in cells treated with any of the antibiotics examined. Comparison of Stx-converting prophages in strain RM10809-C3 with those in strain EDL933 revealed altered stx2 promoters in RM10809-C3, including deletion of the late promoter P _R′ and the mutations in qut, the binding site of antitermination protein Q. In contrast, both P _R′ and qut within the promoter of stx1 in RM10809-C3 were identical to the corresponding one in EDL933. Further, the protein Q encoded by Stx1-prophage in RM10809-C3 exhibited >94% identity with either of the two EDL933 protein Q; whereas both protein Q encoded by Stx2-prophage in RM10809-C3 were distantly related to any of the EDL933 protein Q. Natural silence of Stx2 production in strain RM10809-C3 emphasizes that not only the stx coding regions but also their regulatory factors are important in STEC risk assessment.