Rapid, accurate bacterial identification in biological samples is an important task for microbiology laboratories, for which 16S rRNA gene Sanger sequencing of cultured isolates is frequently used. In contrast, next-generation sequencing does not require intermediate culturing steps and can be directly applied on communities, but its performance has not been extensively evaluated. We present a comparative evaluation of second (Illumina) and third (Oxford Nanopore Technologies (ONT)) generation sequencing technologies for 16S targeted genomics using a well-characterized reference sample. Different 16S gene regions were amplified and sequenced using the Illumina MiSeq, and analyzed with Mothur. Correct classification was variable, depending on the region amplified. Using a majority vote over all regions, most false positives could be eliminated at the genus level but not the species level. Alternatively, the entire 16S gene was amplified and sequenced using the ONT MinION, and analyzed with Mothur, EPI2ME, and GraphMap. Although >99% of reads were correctly classified at the genus level, up to ≈40% were misclassified at the species level. Both technologies, therefore, allow reliable identification of bacterial genera, but can potentially misguide identification of bacterial species, and constitute viable alternatives to Sanger sequencing for rapid analysis of mixed samples without requiring any culturing steps.

• The presence of GMM or its DNA in microbial fermentation products prohibited by EU. • The lack of appropriate detection tools challenges targeting unknown GMMs. • Metagenomics is proposed as an open strategy to deliver proof of presence of GMMs. • It detected species, AMR genes, vector and unnatural associations in the GMM genome. • The method can be applied to other fermentation products and detect any GMM.

Similar to genetically modified organisms (GMOs) produced by classical genetic engineering, gene-edited (GE) organisms and their derived food/feed products commercialized on the European Union market fall within the scope of European Union Directive 2001/18/EC. Consequently, their control in the food/feed chain by GMO enforcement laboratories is required by the competent authorities to guarantee food/feed safety and traceability (2003/1829/EC; 2003/1830/EC). However, their detection is potentially challenging at both the analytical and interpretation levels since this requires methodological approaches that can target and detect a specific single nucleotide variation (SNV) introduced into a GE organism. In this study, we propose a targeted high-throughput sequencing approach, including (i) a prior PCR-based enrichment step to amplify regions of interest, (ii) a sequencing step, and (iii) a data analysis methodology to identify SNVs of interest. To investigate if the performance of this targeted high-throughput sequencing approach is compatible with the performance criteria used in the GMO detection field, several samples containing different percentages of a GE rice line carrying a single adenosine insertion in OsMADS26 were prepared and analyzed. The SNV of interest in samples containing the GE rice line could successfully be detected, both at high and low percentages. No impact related to food processing or to the presence of other crop species was observed. The present proof-of-concept study has allowed us to deliver the first experimental-based evidence indicating that the proposed targeted high-throughput sequencing approach may constitute, in the future, a specific and sensitive tool to support the safety and traceability of the food/feed chain regarding GE plants carrying SNVs.

In 2022-2024, three outbreaks of sheeppox (SPP) were reported in the European Union. These occurred in Spain, Bulgaria, and Greece and had serious economic consequences due to animal losses and trade restrictions. Five sheeppox virus (SPPV) whole-genome sequences (WGSs) were determined from samples collected during these outbreaks and analyzed in the context of all other published WGSs. Sheeppox virus strains can be divided in two, or possibly three, main groups. The isolates from the recent outbreaks belong to clade A2, which includes strains historically circulating in the Middle East and Northern Africa. Sequence divergence was low among the isolates that caused the recent European outbreaks. These results highlight the need for more regular and dense surveillance in under-sampled areas and the use of WGS to increase the chance of pinpointing the origin of an introduction, identifying potential introduction routes, and providing insights into SPPV evolution.