Sifting environmental DNA metabarcoding data sets for rapid reconstruction of marine food webs
Sifting environmental DNA metabarcoding data sets for rapid reconstruction of marine food webs
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DOI：
10.1111/faf.12553
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发表时间：
2021-04-09
影响因子：
6.7
通讯作者：
Mariani, Stefano
中科院分区：
文献类型：
--
作者：
D'Alessandro, Simone;Mariani, Stefano
由于海洋变暖、过度捕捞和大量其他人为影响，海洋生态系统正在迅速变化。预计这些变化将扰乱生产力动态，改变海洋食物网，可能对生态系统服务产生负面影响。因此，必须制定和执行能够迅速和廉价地监测海洋食物网结构变化的方法。不幸的是，传统的海洋食物网调查方法通常是费力的，昂贵的，往往是破坏性的，导致只有一小部分的海洋生态系统得到很好的研究，其中一个更小的子集，随着时间的推移进行研究。在这里，我们试点一个低成本的方法来重建海洋热带，温带和极地地区的营养网络，使用已发表的环境DNA（eDNA）元编码研究所产生的分类目录，并建立基于主要文献信息的营养链。虽然得到的营养网是一个简化的近似与传统方法构建的，他们产生现实的网络，符合预期，并允许生态推理的时间尺度和成本是数量级小于传统实现。我们展示了环境DNA分析的新应用的潜力，该应用有望提供一种快速和可扩展的方法来收集有关生态系统结构的重要信息，从而在环境变化日益迅速的时候促进海洋监测。
Marine ecosystems are changing rapidly due to ocean warming, overfishing and a raft of other anthropogenic impacts. Such changes are expected to disrupt productivity dynamics and alter marine food webs, with likely negative consequences for ecosystem services. It is, therefore, essential to devise and implement methods that can rapidly and inexpensively monitor changes in the marine food web structure. Unfortunately, conventional methods for surveying marine food webs are typically laborious, expensive and often destructive, resulting in only a small fraction of marine ecosystems being well studied, and an even smaller subset of them being studied through time. Here, we pilot a low-cost approach to reconstructing trophic networks of marine tropical, temperate and polar regions, using taxonomical inventories arising from published environmental DNA (eDNA) metabarcoding studies, and building trophic links based on primary literature information. Although the trophic webs obtained are a simplified approximation of those constructed with traditional methods, they generate realistic networks that fit with expectations, and allow ecological inference over time scales and costs that are orders of magnitude smaller than that traditionally achieved. We show the potential of a new application of environmental DNA analysis that promises to offer a rapid and scalable approach to gather vital information on ecosystem structure, hence boosting marine monitoring at a time of increasingly rapid environmental changes.