Collective and harmonized high throughput barcoding of insular arthropod biodiversity: Toward a Genomic Observatories Network for islands
Collective and harmonized high throughput barcoding of insular arthropod biodiversity: Toward a Genomic Observatories Network for islands
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DOI：
10.1111/mec.16683
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发表时间：
2022-09
影响因子：
4.9
通讯作者：
B. Emerson;P. Borges;Pedro Cardoso;P. Convey;Jeremy R. deWaard;E. Economo;R. Gillespie;Susan R. Kennedy;H. Krehenwinkel;R. Meier;G. Roderick;D. Strasberg;C. Thébaud;A. Traveset;Thomas J. Creedy;Emmanouil Meramveliotakis;V. Noguerales;I. Overcast;H. Morlon;Anna Papadopoulou;A. Vogler;P. Arribas;C. Andújar
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文献类型：
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作者：
B. Emerson;P. Borges;Pedro Cardoso;P. Convey;Jeremy R. deWaard;E. Economo;R. Gillespie;Susan R. Kennedy;H. Krehenwinkel;R. Meier;G. Roderick;D. Strasberg;C. Thébaud;A. Traveset;Thomas J. Creedy;Emmanouil Meramveliotakis;V. Noguerales;I. Overcast;H. Morlon;Anna Papadopoulou;A. Vogler;P. Arribas;C. Andújar
目前对岛屿生物多样性背后的生态和进化过程的理解在很大程度上是由植物和鸟类的经验数据形成的，尽管节肢动物占已知动物物种的绝大多数，因此可以提供对生物多样性管理过程的关键见解。新的高通量测序（HTS）的方法，现在出现的强大的工具，以克服限制节肢动物生物多样性数据的可用性，从而提供这些过程的见解。在这里，我们探讨了如何最有效地利用这些工具进行全面和可比的库存和监测岛屿节肢动物生物多样性。我们首先回顾了现有高通量条形码测序方法的优势，局限性和潜在的协同作用。我们考虑了如何将深度学习方法应用于图像分析以研究节肢动物生物多样性。然后，我们探讨了如何在岛屿基因组观测站网络（伊贡）的框架内实施这些方法，以促进对岛屿生物多样性的基本和应用理解。为此，我们确定了7个岛屿生物学的生态学，进化和保护生物学的接口，其中集体和协调的努力，在高温超导节肢动物库存可以产生显着的进展，岛屿生物多样性研究。
Current understanding of ecological and evolutionary processes underlying island biodiversity is heavily shaped by empirical data from plants and birds, although arthropods comprise the overwhelming majority of known animal species, and as such can provide key insights into processes governing biodiversity. Novel high throughput sequencing (HTS) approaches are now emerging as powerful tools to overcome limitations in the availability of arthropod biodiversity data, and hence provide insights into these processes. Here, we explored how these tools might be most effectively exploited for comprehensive and comparable inventory and monitoring of insular arthropod biodiversity. We first reviewed the strengths, limitations and potential synergies among existing approaches of high throughput barcode sequencing. We considered how this could be complemented with deep learning approaches applied to image analysis to study arthropod biodiversity. We then explored how these approaches could be implemented within the framework of an island Genomic Observatories Network (iGON) for the advancement of fundamental and applied understanding of island biodiversity. To this end, we identified seven island biology themes at the interface of ecology, evolution and conservation biology, within which collective and harmonized efforts in HTS arthropod inventory could yield significant advances in island biodiversity research.