Molecular Identification of Mushroom Species in Italy: An Ongoing Project Aimed at Reinforcing the Control Measures of an Increasingly Appreciated Sustainable Food

被引:5
作者
Giusti, Alice [1 ]
Ricci, Enrica [2 ]
Gasperetti, Laura [2 ]
Galgani, Marta [1 ]
Polidori, Luca [3 ]
Verdigi, Francesco [4 ]
Narducci, Roberto [3 ]
Armani, Andrea [1 ]
机构
[1] Univ Pisa, Dept Vet Sci, FishLab, Viale Piagge 2, I-56124 Pisa, Italy
[2] UOT Toscana Nord, Expt Zooprophylact Inst Lazio & Tuscany M Aleandr, SS Abetone & Brennero 4, I-56124 Pisa, Italy
[3] Tuscany Mycol Grps Assoc, Via Turi 8, I-56124 Pisa, Italy
[4] North West Tuscany LHA Mycol Inspectorate, Via A Cocchi 7-9, I-56124 Pisa, Italy
关键词
mushroom; sustainable food; public health; environment safeguarding; consumers protection; official control; molecular identification; Experimental Zooprophylactic Institute; POISONOUS MUSHROOMS; CIRCUMSTANCES; BARCODE; LIFE; WILD;
D O I
10.3390/su13010238
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 43 条
  • [1] [Anonymous], 2015, Transforming our world: the 2030 Agenda for Sustainable Development
  • [2] Forensic genetics and genomics: Much more than just a human affair
    Arenas, Miguel
    Pereira, Filipe
    Oliveira, Manuela
    Pinto, Nadia
    Lopes, Alexandra M.
    Gomes, Veronica
    Carracedo, Angel
    Amorim, Antonio
    [J]. PLOS GENETICS, 2017, 13 (09):
  • [3] Balma M., 2018, P 6 MYC C PER IT 23
  • [4] Accounting for uncertainty in eco-efficient agri-food supply chains: A case study for mushroom production planning
    Banasik, Aleksander
    Kanellopoulos, Argyris
    Bloemhof-Ruwaard, Jacqueline M.
    Claassen, G. D. H.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 216 : 249 - 256
  • [5] Mushroom poisoning epidemiology in the United States
    Brandenburg, William E.
    Ward, Karlee J.
    [J]. MYCOLOGIA, 2018, 110 (04) : 637 - 641
  • [6] Epidemiology and clinics of mushroom poisoning in Northern Italy: A 21-year retrospective analysis
    Cervellin, G.
    Comelli, I.
    Rastelli, G.
    Sanchis-Gomar, F.
    Negri, F.
    De Luca, C.
    Lippi, G.
    [J]. HUMAN & EXPERIMENTAL TOXICOLOGY, 2018, 37 (07) : 697 - 703
  • [7] Chan CK, 2016, HONG KONG MED J, V22, P124, DOI 10.12809/hkmj154706
  • [8] Reference DNA databases for forensic species identification: Auditing algorithms
    Conde-Sousa, E.
    Pinto, N.
    Amorim, A.
    [J]. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES, 2019, 7 (01) : 564 - 566
  • [9] A Ranking System for Reference Libraries of DNA Barcodes: Application to Marine Fish Species from Portugal
    Costa, Filipe O.
    Landi, Monica
    Martins, Rogelia
    Costa, Maria H.
    Costa, Maria E.
    Carneiro, Miguel
    Alves, Maria J.
    Steinke, Dirk
    Carvalho, Gary R.
    [J]. PLOS ONE, 2012, 7 (04): : e35858
  • [10] Dadpour B, 2017, EMERGENCY, V5