Identification of beetle-susceptible coniferous trees by innovative LAMP assay

通过创新的 LAMP 检测鉴定甲虫易感针叶树

• 批准号: 411301-2010
• 负责人: Suresh, Mavanur
• 金额: $ 1.55万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=472949
• 关键词: Identification; beetle; susceptible; coniferous; trees

Coniferous trees greatly contribute to forestry in Alberta and other parts of Canada. Global warming and climate change effects on native beetles, important mortality agents of conifers. To sustain conifer forests, the Department of Sustainable Resource Development makes careful efforts to track, harvest and replant coniferous trees. Since resistance and susceptibility to insects (like the pine beetle) are highly species dependent, they could help identify the actual species to cut or replant in the forest inventory. An effective detection system for beetle-susceptible strains would represent an enormous opportunity for all conifer forestry industries to benefit. Therefore, it is essential to develop and verify an efficient, simple and economical gene detection system to distinguish which coniferous species are susceptible to beetles.

针叶树为艾伯塔省和加拿大其他地区的林业做出了巨大贡献。全球变暖和气候变化对当地甲虫的影响，当地甲虫是针叶树的重要致死因素。为了维持针叶林，可持续资源发展部认真努力追踪、收获和重新种植针叶树。由于对昆虫(如松毛虫)的抵抗力和易感性高度依赖于物种，它们可以帮助确定森林清单中需要砍伐或重新种植的实际物种。对甲虫敏感品系的有效检测系统将代表着所有针叶林行业受益的巨大机会。因此，有必要建立和验证一种高效、简单、经济的基因检测系统来区分哪些针叶树种对甲虫敏感。