High-throughput DNA barcoding for ecological network studies
High-throughput DNA barcoding for ecological network studies
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DOI：
10.1007/s10144-014-0472-z
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发表时间：
2015-01
影响因子：
1.7
通讯作者：
Hirokazu Toju
中科院分区：
文献类型：
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作者：
Hirokazu Toju
生态群落研究的网络理论框架不仅有望促进对生态和共同进化动力学的基本理解，而且还将这些科学见解应用于生态系统管理。然而，我们的知识生态网络架构在野外主要源于宏观生物系统的实证研究，如植物授粉，植物种子传播，和捕食者的相互作用。从这个意义上说，我们仍然不知道生态网络结构的多样性，它的基本组装过程，以及它对生态和共同进化动力学的影响。在本文中，我讨论了微生物的高通量DNA条形码，特别是基于下一代测序的高通量DNA条形码，如何潜在地扩展生态网络研究的目标。我回顾了下一代基于测序的微生物-宿主动物/植物网络分析的方法平台，然后介绍了植物及其超多样性真菌共生体网络的一些案例研究。由于这些初步研究揭示了生态网络结构的意外多样性，将这种基于下一代测序的分析进一步应用于各种微生物系统将显着改善我们对群落生态和共同进化过程的看法。
The network theoretical framework of ecological community studies is expected to promote not only the basic understanding of ecological and coevolutionary dynamics but also the application of those scientific insights into ecosystem management. However, our knowledge of ecological network architecture in the wild largely stems from empirical studies on macro-organismal systems such as those of plant–pollinator, plant–seed disperser, and prey–predator interactions. In this sense, we have remained ignorant of the diversity of ecological network architecture, its underlying assembly processes, and its consequences on ecological and coevolutionary dynamics. In this paper, I discuss how the high-throughput DNA barcoding of microbes, especially that based on next-generation sequencing, potentially expands the target of ecological network studies. I review the methodological platforms of next-generation sequencing-based analyses of microbe–host animal/plant networks and then introduce some case studies on the networks of plants and their hyper-diverse fungal symbionts. As those preliminary studies are uncovering the unexpected diversity of ecological network architecture, further application of such next-generation sequencing-based analyses to a diverse array of microbial systems will significantly improve our views on community ecological and coevolutionary processes.