环境DNA
生物多样性
生物
步伐
分子生态学
生物群落
生态学
环境资源管理
人口
领域(数学)
范围(计算机科学)
数据科学
环境规划
生态系统
地理
计算机科学
社会学
人口学
环境科学
数学
大地测量学
纯数学
程序设计语言
作者
Rosetta C. Blackman,Marjorie Couton,François Keck,Dominik Kirschner,Luca Carraro,Eva Cereghetti,Kilian Perrelet,Raphaël Bossart,Jeanine Brantschen,Yan Zhang,Florian Altermatt
摘要
Abstract Molecular tools are an indispensable part of ecology and biodiversity sciences and implemented across all biomes. About a decade ago, the use and implementation of environmental DNA (eDNA) to detect biodiversity signals extracted from environmental samples opened new avenues of research. Initial eDNA research focused on understanding population dynamics of target species. Its scope thereafter broadened, uncovering previously unrecorded biodiversity via metabarcoding in both well‐studied and understudied ecosystems across all taxonomic groups. The application of eDNA rapidly became an established part of biodiversity research, and a research field by its own. Here, we revisit key expectations made in a land‐mark special issue on eDNA in Molecular Ecology in 2012 to frame the development in six key areas: (1) sample collection, (2) primer development, (3) biomonitoring, (4) quantification, (5) behaviour of DNA in the environment and (6) reference database development. We pinpoint the success of eDNA, yet also discuss shortfalls and expectations not met, highlighting areas of research priority and identify the unexpected developments. In parallel, our retrospective couples a screening of the peer‐reviewed literature with a survey of eDNA users including academics, end‐users and commercial providers, in which we address the priority areas to focus research efforts to advance the field of eDNA. With the rapid and ever‐increasing pace of new technical advances, the future of eDNA looks bright, yet successful applications and best practices must become more interdisciplinary to reach its full potential. Our retrospect gives the tools and expectations towards concretely moving the field forward.
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