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DNA metabarcoding of spiders, insects, and springtails for exploring potential linkage between above- and below-ground food webs

BACKGROUND: Understanding feedback between above- and below-ground processes of biological communities is a key to the effective management of natural and agricultural ecosystems. However, as above- and below-ground food webs are often studied separately, our knowledge of material flow and community...

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Detalles Bibliográficos
Autores principales: Toju, Hirokazu, Baba, Yuki G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815251/
https://www.ncbi.nlm.nih.gov/pubmed/29468086
http://dx.doi.org/10.1186/s40851-018-0088-9
Descripción
Sumario:BACKGROUND: Understanding feedback between above- and below-ground processes of biological communities is a key to the effective management of natural and agricultural ecosystems. However, as above- and below-ground food webs are often studied separately, our knowledge of material flow and community dynamics in terrestrial ecosystems remains limited. RESULTS: We developed a high-throughput sequencing method for examining how spiders link above- and below-ground food webs as generalist predators. To overcome problems related to DNA-barcoding-based analyses of arthropod–arthropod interactions, we designed spider-specific blocking primers and Hexapoda-specific primers for the selective PCR amplification of Hexapoda prey sequences from spider samples. By applying the new DNA metabarcoding framework to spider samples collected in a temperate secondary forest in Japan, we explored the structure of a food web involving 15 spider species and various taxonomic groups of Hexapoda prey. These results support the hypothesis that multiple spider species in a community can prey on both above- and below-ground prey species, potentially coupling above- and below-ground food-web dynamics. CONCLUSIONS: The PCR primers and metabarcoding pipeline described in this study are expected to accelerate nuclear marker-based analyses of food webs, illuminating poorly understood trophic interactions in ecosystems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40851-018-0088-9) contains supplementary material, which is available to authorized users.