This study aims at building an ITS gene dataset to support the Italian Health Service in mushroom identification. The target species were selected among those mostly involved in regional (Tuscany) poisoning cases. For each target species, all the ITS sequences already deposited in GenBank and BOLD databases were retrieved and accurately assessed for quality and reliability by a systematic filtering process. Wild specimens of target species were also collected to produce reference ITS sequences. These were used partly to set up and partly to validate the dataset by BLAST analysis. Overall, 7270 sequences were found in the two databases. After filtering, 1293 sequences (17.8%) were discarded, with a final retrieval of 5977 sequences. Ninety-seven ITS reference sequences were obtained from 76 collected mushroom specimens: 15 of them, obtained from 10 species with no sequences available after the filtering, were used to build the dataset, with a final taxonomic coverage of 96.7%. The other 82 sequences (66 species) were used for the dataset validation. In most of the cases (n = 71; 86.6%) they matched with identity values ≥ 97–100% with the corresponding species. The dataset was able to identify the species involved in regional poisoning incidents. As some of these species are also involved in poisonings at the national level, the dataset may be used for supporting the National Health Service throughout the Italian territory. Moreover, it can support the official control activities aimed at detecting frauds in commercial mushroom-based products and safeguarding consumers.

Proper investment in mushroom production (farming and wild mushroom picking activities) may represent a winning strategy for many countries, including Italy, to better face the problems of food security and environmental impact, and to break away from imports, enhancing the local products. However, the risk related to the consumption of poisoning species requires governments to implement or reinforce effective control measures to protect consumers. Mushroom identification by phenotype observation is hardly applicable if morphologically-similar species, non-whole specimens, or clinical samples are involved. Genotypic analysis is a valid alternative. An ongoing research project involving the Experimental Zooprophylactic Institute of Lazio and Tuscany, the regional Mycological Inspectorate, the Tuscany Mycological Groups Association, and the Department of Veterinary Sciences of the University of Pisa aims to reinforce the collaboration among institutions for the management of mushroom poisoning. The core’s project aims to develop an internal genetic database to support the identification of wild and cultivated mushroom species in the Italian territory. The database will include Internal Transcribed Spacer (ITS) sequences retrieved from official databases (the NCBI GenBank and the BOLD system) which are considered to be reliable, after a proper selection process, and sequences from specimens collected directly and identified by expert mycologists. Once it is validated, the database will be available and further implementable by the official network of national laboratories.

The original notifications (n=1355) managed by the Rapid Alert System for Food and Feed of the Tuscany region in the seven-year period 2015-2021 were analyzed. 68.9% of them were classified as alert notifications, and they mostly originated (56.3%) from official controls on the market, followed by the company's own checks (29.1%). Italy was the most represented notifying country (73.3%) and the most represented country of origin of the notified products (64.5%). Out of the 28 considered food categories, “fish and products thereof” (F), “cereals and bakery products” (C), “bivalve mollusks and products thereof” (B), and “meat and meat products (other than poultry)” (M) were the most notified. F were especially notified for the presence of heavy metals (45.7%), C for undeclared allergens (32.1%), B for microbial contaminants (Escherichia coli, 49.6%), and M for pathogenic microorganisms (55.9%), mostly Salmonella spp. and Listeria monocytogenes. This study provides an updated framework for the main food safety issues at the regional level. The Rapid Alert System for Food and Feed should be periodically analyzed to evaluate historical trends and emerging or poorly known hazards. This is especially important for the planning of official control activities and the prevention of risks through the food supply chain.