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Environmental DNA Time Series in Ecology

生物多样性 环境DNA 生态学 背景(考古学) 时间尺度 环境资源管理 生态系统 地理 比例(比率) 环境变化 数据科学 生物 气候变化 计算机科学 环境科学 地图学 考古
作者
Miklós Bálint,Markus Pfenninger,Hans‐Peter Grossart,Pierre Taberlet,Mark Vellend,Mathew A. Leibold,Göran Englund,Diana E. Bowler
出处
期刊:Trends in Ecology and Evolution [Elsevier BV]
卷期号:33 (12): 945-957 被引量:202
标识
DOI:10.1016/j.tree.2018.09.003
摘要

eDNA fills an important data gap for temporal ecology: it provides data over long time periods with high taxonomic breadth, permitting tests of hypotheses and models of biodiversity. Dynamic biodiversity data obtained with eDNA have the potential to reveal the long-term dynamics of populations, species, communities, and ecosystems in changing environments. eDNA records both ecological and evolutionary changes and thus may be used to understand eco-evolutionary feedbacks. Models of how historical environmental changes impact biodiversity may be hindcast validated with eDNA. Important challenges remain concerning the deposition and preservation of eDNA, the nature of different eDNA archives, and the interpretation of the resulting biodiversity data. Ecological communities change in time and space, but long-term dynamics at the century-to-millennia scale are poorly documented due to lack of relevant data sets. Nevertheless, understanding long-term dynamics is important for explaining present-day biodiversity patterns and placing conservation goals in a historical context. Here, we use recent examples and new perspectives to highlight how environmental DNA (eDNA) is starting to provide a powerful new source of temporal data for research questions that have so far been overlooked, by helping to resolve the ecological dynamics of populations, communities, and ecosystems over hundreds to thousands of years. We give examples of hypotheses that may be addressed by temporal eDNA biodiversity data, discuss possible research directions, and outline related challenges. Ecological communities change in time and space, but long-term dynamics at the century-to-millennia scale are poorly documented due to lack of relevant data sets. Nevertheless, understanding long-term dynamics is important for explaining present-day biodiversity patterns and placing conservation goals in a historical context. Here, we use recent examples and new perspectives to highlight how environmental DNA (eDNA) is starting to provide a powerful new source of temporal data for research questions that have so far been overlooked, by helping to resolve the ecological dynamics of populations, communities, and ecosystems over hundreds to thousands of years. We give examples of hypotheses that may be addressed by temporal eDNA biodiversity data, discuss possible research directions, and outline related challenges. fossilized feces. high-throughput sequencing of PCR-amplified taxonomic marker genes. mutual feedback between evolutionary and ecological processes occurring on similar timescales. the simultaneous sequencing of millions of DNA fragments concentrations of waste (e.g., shells, urine, feces) produced by humans or other animals. the random sequencing of DNA fragments. the deposition, preservation, transport, etc., of biological materials in the eDNA archive. genes regularly used in taxonomic identification [e.g., cytochrome oxidase (COI), ribosomal RNA (16S, 18S, ITS), ribulose bisphosphate carboxylase (rbcL)]. sediments with layers distinguishable at an annual resolution.
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