ArticleScientific reports2016
The utility of DNA metabarcoding for studying the response of arthropod diversity and composition to land-use change in the tropics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed.
- Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding.Scientific data · 2025Article
- Maximizing Identification Precision of Hymenoptera and Brachycera (Diptera) With a Non-Destructive DNA Metabarcoding Approach.Ecology and evolution · 2025Article
- Systematic challenges and opportunities in insect monitoring: a Global South perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Rewilding soil and litter invertebrates and fungi increases decomposition rates and alters detritivore communities.Ecology and evolution · 2024Article
- Article
- Optimizing insect metabarcoding using replicated mock communities.Methods in ecology and evolution · 2023Article
- Monitoring insect biodiversity and comparison of sampling strategies using metabarcoding: A case study in the Yanshan Mountains, China.Ecology and evolution · 2023Article
- FAVIS: Fast and versatile protocol for non-destructive metabarcoding of bulk insect samples.PloS one · 2023Article
- Article
- Toward global integration of biodiversity big data: a harmonized metabarcode data generation module for terrestrial arthropods.GigaScience · 2022Article
- Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera).Scientific reports · 2022Article
- Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery.Remote sensing in ecology and conservation · 2022Article
- Message in a Bottle-Metabarcoding enables biodiversity comparisons across ecoregions.GigaScience · 2022Article
- Evaluating restoration trajectories using DNA metabarcoding of ground-dwelling and airborne invertebrates and associated plant communities.Molecular ecology · 2022Article
- Standardized high-throughput biomonitoring using DNA metabarcoding: Strategies for the adoption of automated liquid handlers.Environmental science and ecotechnology · 2021Article
- Next-Generation Sequencing and Its Impacts on Entomological Research in Ecology and Evolution.Neotropical entomology · 2021Review
- Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap.Molecular ecology · 2021Review
- Temporal and Spatial Blood Feeding Patterns of Urban Mosquitoes in the San Juan Metropolitan Area, Puerto Rico.Insects · 2021Article
- Article
- Drivers of tropical soil invertebrate community composition and richness across tropical secondary forests using DNA metasystematics.Scientific reports · 2020Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Metabarcoding potentially offers a rapid and cheap method of monitoring biodiversity, but real-world applications are few. We investigated its utility in studying patterns of litter arthropod diversity and composition in the tropics. We collected litter arthropods from 35 matched forest-plantation sites across Xishuangbanna, southwestern China. A new primer combination and the MiSeq platform were used to amplify and sequence a wide variety of litter arthropods using simulated and real-world communities. Quality filtered reads were clustered into 3,624 MOTUs at ≥97% similarity and the taxonomy of each MOTU was predicted. We compared diversity and compositional differences between forests and plantations (rubber and tea) for all MOTUs and for eight arthropod groups. We obtained ~100% detection rate after in silico sequencing six mock communities with known arthropod composition. Ordination showed that rubber, tea and forest communities formed distinct clusters. α-diversity declined significantly between forests and adjacent plantations for more arthropod groups in rubber than tea, and diversity of order Orthoptera increased significantly in tea. Turnover was higher in forests than plantations, but patterns differed among groups. Metabarcoding is useful for quantifying diversity patterns of arthropods under different land-uses and the MiSeq platform is effective for arthropod metabarcoding in the tropics.
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