Combining fungal species geographic distribution and ecological structure to implement accurate models of potential harvesting yield of wild edible mushroom species

结合真菌物种地理分布和生态结构，建立野生食用菌潜在采收产量的精确模型

• 批准号: 491322-2015
• 负责人: Germain, Hugo
• 金额: $ 1.27万
• 依托单位: Université du Québec à Trois-Rivières
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=619048
• 关键词: Combining; fungal; species; geographic; distribution

Wild mushroom harvesting is a booming activity in Canada, mostly in Québec, Ontario and British-Columbia.Considered by some as a recreational activity, the harvest of wild mushrooms has also raised a commercialinterest and now, numerous companies are engaged in picking, transformation and sale of those mushrooms.However, the time invested to find good picking areas entails a high retail price compared with commercialproducts. The high retail price can be explained essentially by two factors: 1) wild mushrooms are picked insmall quantities, they are available during a short period and therefore most people don't include them in theirregular diet, 2) the lack of confidence in the identification renders the consumers hesitant to pay a high pricefor a potentially toxic product. The latter can be justified by the fact that Canada is host of several toxic andsome deadly species, if consumer would be entirely sure of the identification they would more readily consume(and pay for) those products. However, both the MAPAQ (in Québec) and the Canadian Food InspectionAgency (CFIA) lack the personnel, the ability and the tools to provide an accurate identification of the wildmushrooms. The project crafted by Progigraph want to tackles these two issues: supply and security. Throughthe development and use of molecular barcodes Progigraph will add to its current mushroom harvestingpredictive GIS database. Moreover, Progigraph will use new state-of-the-art long read Illumina sequencing toassess environmental complex samples down to the species level. The generated Barcodes will be made publicthrough the International BarCode of Life Database (iBOLD) and will then be available for use by the MAPAQand CFIA and regulatory organisms.

野生蘑菇采收在加拿大是一项蓬勃发展的活动，主要集中在魁北克省、安大略省和不列颠哥伦比亚省。一些人认为野生蘑菇采收是一种娱乐活动，但采收野生蘑菇也引起了商业兴趣，现在，许多公司都从事这些蘑菇的采摘、加工和销售。然而，与商业产品相比，寻找良好采摘区所投入的时间意味着较高的零售价格。零售价格高主要有两个原因：1）野生蘑菇采摘数量少，供应时间短，因此大多数人不将其纳入日常饮食中；2）对鉴定缺乏信心，导致消费者不愿花高价购买可能有毒的产品。后者的合理性在于加拿大拥有多种有毒和致命物种，如果消费者完全确定其身份，他们将更愿意消费（并支付）这些产品。然而，MAPAQ（魁北克省）和加拿大食品检验局（CFIA）都缺乏对野生蘑菇进行准确鉴定的人员、能力和工具。 Progigraph 制作的项目希望解决这两个问题：供应和安全。通过分子条形码的开发和使用，Progigraph 将添加到其当前的蘑菇收获预测 GIS 数据库中。此外，Progigraph 将使用最先进的新型长读长 Illumina 测序来评估低至物种水平的环境复杂样本。生成的条形码将通过国际生命条形码数据库 (iBOLD) 公开，然后可供 MAPAQ 和 CFIA 以及监管机构使用。