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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651719
• 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 commercial**interest 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 commercial**products. The high retail price can be explained essentially by two factors: 1) wild mushrooms are picked in**small quantities, they are available during a short period and therefore most people don't include them in their**regular diet, 2) the lack of confidence in the identification renders the consumers hesitant to pay a high price**for a potentially toxic product. The latter can be justified by the fact that Canada is host of several toxic and**some 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 Inspection**Agency (CFIA) lack the personnel, the ability and the tools to provide an accurate identification of the wild**mushrooms. The project crafted by Progigraph want to tackles these two issues: supply and security. Through**the development and use of molecular barcodes Progigraph will add to its current mushroom harvesting**predictive GIS database. Moreover, Progigraph will use new state-of-the-art long read Illumina sequencing to**assess environmental complex samples down to the species level. The generated Barcodes will be made public**through the International BarCode of Life Database (iBOLD) and will then be available for use by the MAPAQ**and CFIA and regulatory organisms.

野生蘑菇收获在加拿大是一项蓬勃发展的活动，主要在魁省、安大略省和不列颠哥伦比亚省。一些人认为采摘野生蘑菇是一种娱乐活动，但它也引起了商业兴趣，现在有许多公司从事采摘、改造和销售这些蘑菇。然而，与商业**产品相比，花费时间寻找合适的采摘区域需要较高的零售价格。野生蘑菇的高零售价主要可以用两个因素来解释：1)野生蘑菇的采摘量很小，上市时间很短，因此大多数人的日常饮食中不包括它们；2)对鉴定缺乏信心，导致消费者不愿花高价购买一种可能有毒的产品。后者可以通过加拿大是几种有毒和一些致命物种的宿主这一事实来证明，如果消费者完全确定识别，他们将更容易消费（并支付）这些产品。然而，无论是MAPAQ（在qubec）还是加拿大食品检验局（CFIA）都缺乏人员、能力和工具来提供野生蘑菇的准确鉴定。由Progigraph精心设计的项目想要解决这两个问题：供应和安全。通过分子条形码的开发和使用，将使prographh增加到其现有的蘑菇收获预测GIS数据库中。此外，progigh将使用最新的最先进的长读Illumina测序来评估环境复杂样品，直至物种水平。生成的条形码将通过国际生命条形码数据库（iBOLD）公开**，然后供MAPAQ**和CFIA以及监管机构使用。