ArticleProceedings of the National Academy of Sciences of the United States of America2014
Simultaneous assessment of the macrobiome and microbiome in a bulk sample of tropical arthropods through DNA metasystematics.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.
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99 citing papers in PubMed.
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- Collaborative research networks as a strategy to synthesize knowledge of Amazonian biodiversity.Proceedings. Biological sciences · 2025Article
- Elusive tropical forest canopy diversity revealed through environmental DNA contained in rainwater.Science advances · 2025Article
- Insect Decline in the Anthropocene: Historical Parallels and Emerging Monitoring Tools.Insects · 2025Review
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- Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network.BMC biology · 2025Article
- Discriminating spatiotemporal heterogeneity and environmental drivers of fish assemblages using environmental DNA metabarcoding in mosaic habitat ecosystems.Scientific reports · 2025Article
- A Long-Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS-MBON 2018-2020.Molecular ecology resources · 2025Article
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- Settlement patterns and temporal successions of coral reef cryptic communities affect diversity assessments using autonomous reef monitoring structures (ARMS).Scientific reports · 2024Article
- Implementing high-throughput insect barcoding in microbiome studies: impact of non-destructive DNA extraction on microbiome reconstruction.bioRxiv : the preprint server for biology · 2024Article
- New hard tick (Acari: Ixodidae) reports and detection of Rickettsia in ticks from Sierra Nevada de Santa Marta, Colombia.Experimental & applied acarology · 2024Article
- Diversity of Parasitoid Wasps and Comparison of Sampling Strategies in Rice Fields Using Metabarcoding.Insects · 2024Article
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- Effects of error, chimera, bias, and GC content on the accuracy of amplicon sequencing.mSystems · 2023Article
- DNA High-Throughput Sequencing for Arthropod Gut Content Analysis to Evaluate Effectiveness and Safety of Biological Control Agents.Neotropical entomology · 2023Review
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- Integrative Taxonomy of Cyclocyprididae Kaufmann, 1900 (Ostracoda: Podocopa) with Description of a New Genus and Species.Zoological studies · 2023Article
39 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conventional assessments of ecosystem sample composition are based on morphology-based or DNA barcode identification of individuals. Both approaches are costly and time-consuming, especially when applied to the large number of specimens and taxa commonly included in ecological investigations. Next-generation sequencing approaches can overcome the bottleneck of individual specimen isolation and identification by simultaneously sequencing specimens of all taxa in a bulk mixture. Here we apply multiple parallel amplification primers, multiple DNA barcode markers, 454-pyrosequencing, and Illumina MiSeq sequencing to the same sample to maximize recovery of the arthropod macrobiome and the bacterial and other microbial microbiome of a bulk arthropod sample. We validate this method with a complex sample containing 1,066 morphologically distinguishable arthropods from a tropical terrestrial ecosystem with high taxonomic diversity. Multiamplicon next-generation DNA barcoding was able to recover sequences corresponding to 91% of the distinguishable individuals in a bulk environmental sample, as well as many species present as undistinguishable tissue. 454-pyrosequencing was able to recover 10 more families of arthropods and 30 more species than did conventional Sanger sequencing of each individual specimen. The use of other loci (16S and 18S ribosomal DNA gene regions) also added the detection of species of microbes associated with these terrestrial arthropods. This method greatly decreases the time and money necessary to perform DNA-based comparisons of biodiversity among ecosystem samples. This methodology opens the door to much cheaper and increased capacity for ecological and evolutionary studies applicable to a wide range of socio-economic issues, as well as a basic understanding of how the world works.
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