Apirhabdus apintestini gen. nov., sp. nov., a member of a novel genus of the family Enterobacteriaceae, isolated from the gut of the western honey bee Apis mellifera.

A Gram-negative, motile, rod-shaped bacterial strain, CA-0114T, was isolated from the midgut of a western honey bee, Apis mellifera. The isolate exhibited ≤96.43 % 16S rRNA gene sequence identity (1540 bp) to members of the families Enterobacteriaceae and Erwiniaceae. Phylogenetic trees based on genome blast distance phylogeny and concatenated protein sequences encoded by conserved genes atpD, fusA, gyrB, infB, leuS, pyrG and rpoB separated the isolate from other genera forming a distinct lineage in the Enterobacteriaceae. In both trees, the closest relatives were Tenebrionicola larvae YMB-R21T and Tenebrionibacter intestinalis BIT-L3T, which were isolated previously from Tenebrio molitor L., a plastic-eating mealworm. Digital DNA-DNA hybridization, orthologous average nucleotide identity and average amino acid identity values between strain CA-0114T and the closest related members within the Enterobacteriaceae were ≤23.1, 75.45 and 76.04 %, respectively. The complete genome of strain CA-0114T was 4 451669 bp with a G+C content of 52.12 mol%. Notably, the apparent inability of strain CA-0114T to ferment d-glucose, inositol and l-rhamnose in the API 20E system is unique among closely related members of the Enterobacteriaceae. Based on the results obtained through genotypic and phenotypic analysis, we propose that strain CA-0114T represents a novel species and genus within the family Enterobacteriaceae, for which we propose the name Apirhabdus apintestini gen. nov., sp. nov. (type strain CA-0114T=ATCC TSD-396T=DSM 116385T).

Application of a CRISPR Sequence-Based Method for a Large-Scale Assessment of Salmonella Serovars in Ontario Poultry Production Environments.

Accurate detection of all Salmonella serovars present in a sample is important in surveillance programs. Current detection protocols are limited to detection of a predominant serovar, missing identification of less abundant serovars in a sample. An alternative method, called CRISPR-SeroSeq, serotyping by sequencing of amplified CRISPR spacers, was employed to detect multiple serovars in a sample without the need of culture isolation. The CRISPR-SeroSeq method successfully detected 34 most frequently reported Salmonella serovars in pure cultures and target serovars at 104 CFU/mL in 27 Salmonella-negative environmental enrichment samples post-spiked with one of 15 different serovars, plus 2 additional serovars at 1 log CFU/mL higher abundance. When the method was applied to 442 naturally contaminated environmental samples collected from 192 poultry farms, 25 different serovars were detected from 430 of the samples. In 73.1% of the samples, 2 to 7 serovars were detected, with Salmonella Kiambu (55.7%), Salmonella Infantis (48.4%), Salmonella Kentucky (27.1%), Salmonella Livingstone (26.6%), and Salmonella Mbandaka/Montevideo (23.4%) being the most prevalent on the farms. Single isolates from 384 samples were also analyzed using a traditional serotyping method, and the same serovar identified by culture was detected by CRISPR-SeroSeq in 96.1% (369/384) of samples, with the former missing detection of additional and sometimes critical serovars. The surveillance data obtained via CRISPR-SeroSeq revealed a significant emergence of Salmonella Kiambu and Salmonella Rissen on poultry farms in Ontario. The results highlight the effectiveness of the CRISPR-SeroSeq approach in detecting multiple Salmonella serovars in poultry environmental samples under applied conditions, providing updated surveillance information on Salmonella serovars on poultry farms in Ontario. IMPORTANCE The CRISPR-SeroSeq method represents an alternative molecular tool to the traditional culture-based serotyping method that can detect multiple Salmonella serovars in a sample and provide rapid serovar results without the need of selective enrichment and culture isolation. The evaluation results can facilitate implementation of the method in routine Salmonella surveillance on poultry farms and in outbreak investigations. The application of the method can increase the accuracy of current serovar prevalence information. The results highlight the effectiveness of the validated method and the need for monitoring Salmonella serovars in poultry environments to improve current surveillance programs. The updated surveillance data provide timely information on emergence of different Salmonella serovars on poultry farms in Ontario and support on-farm risk assessment and risk management of Salmonella.